The application research of mobile robots and wireless sensor networks in auto guide vehicle
手机偷走梦想读后感
手机偷走梦想读后感英文回答:The book "The Stolen Dreams of Mobile Phones" is a thought-provoking and eye-opening read that delves into the impact of technology on our lives, particularly the negative consequences of excessive smartphone usage. The author skillfully weaves together personal anecdotes, scientific research, and societal observations to paint a vivid picture of how our dreams and aspirations are being stolen away by our addiction to mobile phones.One of the key themes explored in the book is the detrimental effect of constant smartphone use on our mental well-being. The author shares his own experiences offeeling disconnected from the real world and constantly comparing himself to others on social media. This resonated with me as I have often found myself falling into the same trap of seeking validation and approval through likes and comments on my posts. It made me realize how our obsessionwith our virtual lives can rob us of the joy andfulfillment that comes from pursuing our dreams andpassions in the real world.Furthermore, the book sheds light on the impact of smartphones on our relationships. The author discusses how our constant need for validation and attention from our online presence can lead to neglecting the people around us. This reminded me of a situation where I was out with friends, but instead of engaging in meaningfulconversations and enjoying their company, I was mindlessly scrolling through my social media feeds. It made me realize how important it is to be present in the moment and to nurture our relationships offline.The book also delves into the addictive nature of smartphones and the tactics employed by tech companies to keep us hooked. The author explains how apps and social media platforms are designed to trigger our dopamine receptors, creating a cycle of instant gratification andthe constant need for more. This made me reflect on my own smartphone usage and how often I find myself mindlesslyscrolling through apps, even when I have more important tasks to attend to. It made me question whether I am in control of my phone or if it is controlling me.In conclusion, "The Stolen Dreams of Mobile Phones" is a thought-provoking book that highlights the negative impact of excessive smartphone use on our dreams, aspirations, mental well-being, and relationships. It serves as a wake-up call to reassess our relationship with technology and find a balance that allows us to pursue our dreams and connect with the people and experiences that truly matter.中文回答:《手机偷走梦想》这本书是一本发人深省、引人入胜的读物,深入探讨了科技对我们生活的影响,特别是过度使用智能手机所带来的负面后果。
禁止携带手机到学校英语作文
Banning Mobile Phones in Schools: ANecessary Step for Better LearningEnvironmentsIn today's digital era, mobile phones have become an integral part of our daily lives. However, their presencein school environments has become a matter of concern, leading to a growing trend of banning mobile phones in schools. This ban is not without its reasons, as the negative impacts of mobile phone usage in schools outweigh the potential benefits.Firstly, mobile phones are a significant distraction in the classroom. Students often find themselves tempted to check their phones during class, whether it's to scroll through social media, read messages, or play games. This constant interruption disrupts their concentration and attention, making it difficult for them to focus on the lesson. As a result, their academic performance suffers, and they miss out on crucial learning opportunities.Secondly, mobile phones can lead to cyberbullying and other forms of online harassment. Schools are meant to be safe spaces where students can learn and grow, but theanonymity and ease of access provided by mobile phones can turn these environments into breeding grounds for bullying and harassment. This can have devastating effects on students' mental health and well-being, leading to feelings of isolation, depression, and anxiety.Moreover, mobile phones can also be a source of cheating in exams. With the ability to quickly access information and communicate with others, students may be tempted to use their phones to cheat during exams. This not only undermines the integrity of the exam system but also robs students of the opportunity to learn and grow through honest effort.In light of these negative impacts, banning mobile phones in schools is a necessary step to create better learning environments. By removing this source of distraction and potential harm, schools can foster a more focused and inclusive learning atmosphere. Students will be able to concentrate better in class, engage more activelyin discussions, and make better use of their time to learn and grow.Of course, banning mobile phones in schools does not mean cutting students off from the digital world completely. Schools can provide designated areas or times for studentsto use their phones, such as during breaks or after school hours. This allows students to stay connected with their friends and family while also ensuring that they are not distracted during class time.Additionally, teachers and parents can play a crucial role in enforcing this ban. Teachers can set clear rulesand expectations for their classrooms, emphasizing the importance of focus and attention. Parents can also support this measure by discussing the reasons for the ban withtheir children and helping them understand the importanceof staying focused during school hours.In conclusion, banning mobile phones in schools is a necessary step to create better learning environments for students. By removing distractions and potential sources of harm, schools can foster a more focused and inclusive atmosphere that is conducive to learning and growth. With the support of teachers, parents, and students, this bancan be successfully implemented and lead to positive outcomes for all involved.**禁止在学校携带手机:创造更好学习环境的必要举措** 在当今数字化时代,手机已成为我们日常生活的重要组成部分。
美国赛博空间作战行动Cyberspace _Operations
CHAPTER II
CYBERSPACE OPERATIONS CORE ACTIVITIES
Introduction................................................................................................................II-1
3.应用
a、本出版物中确立的联合原则适用于联合参谋部、作战司令部指挥官、下属统一司令部、联合特遣部队、这些司令部的下属部门、各军种和作战支持机构。
b、本出版物中的指南具有权威性;因此,除非指挥官认为特殊情况另有规定,否则将遵循这一原则。如果本出版物的内容与出版物的内容发生冲突,则以本出版物为准,除非参谋长联席会议通常与其他参谋长联合会成员协调,提供了更为现行和具体的指导。作为多国(联盟或联盟)军事指挥部一部分的部队指挥官应遵循美国批准的多国原则和程序。对于未经美国批准的条令和程序,指挥官应评估并遵循多国司令部的条令与程序,如果适用并符合美国法律、法规和条令。
•联合职能部门和网络空间运作
第三章权限、角色和职责
•简介III-1
•当局III-2
•角色和职责
•法律考虑因素III-11
第四章规划、协调、执行和评估
•联合规划过程和网络空间运营
•网络空间运营规划考虑因素
•对网络空间的情报和操作分析支持
运营计划IV-6
•针对性IV-8
•网络空间部队的指挥与控制
手机不能带进课英语作文
手机不能带进课英语作文The Importance of Keeping Mobile Phones Out of the Classroom.In today's digital age, mobile phones have become a ubiquitous part of our lives. They serve as communication devices, entertainment hubs, and even tools for learning. However, when it comes to the classroom, the presence of mobile phones can often be a distraction that hinders learning. This article explores the reasons why mobile phones should not be allowed in the classroom andhighlights the benefits of maintaining a technology-free learning environment.Firstly, mobile phones are a significant distraction in the classroom. The constant notifications, ringtones, and the temptation to check social media or play games can easily pull students' attention away from the lesson. This constant interruption not only disrupts the flow of the class but also prevents students from fully engaging withthe material. Additionally, students may feel pressured to respond to messages or notifications, leading to a decrease in their focus and concentration.Secondly, mobile phones can create an unhealthy learning environment. When students are constantly checking their phones, they miss out on valuable face-to-face interaction with their teachers and classmates. This interaction is crucial for effective learning as it helps students build relationships, ask questions, and collaborate with others. By allowing mobile phones in the classroom, we risk losing this important aspect of education.Moreover, mobile phones can lead to cheating during exams or assessments. With access to the internet and a wide range of applications, students can easily look up answers or use unauthorized resources to complete their tasks. This not only undermines the purpose of assessments but also robs students of the opportunity to learn and develop their skills independently. By banning mobile phones during exams, we ensure that students are tested ontheir knowledge and understanding rather than their ability to find answers online.However, it is important to recognize that mobile phones can also be valuable tools for learning. They provide access to a wealth of information and resourcesthat can enhance students' understanding and engagement with their studies. The key is to strike a balance between allowing students to use phones for educational purposes while limiting their distracting influence.To achieve this, teachers can introduce specific rules and guidelines regarding the use of mobile phones in the classroom. For example, they can designate certain times during the class when phones can be used for research or to access online resources. Additionally, teachers can encourage students to use their phones for productive activities such as taking notes, accessing educational applications, or participating in class discussions.In conclusion, while mobile phones play a significant role in our daily lives, they should be kept out of theclassroom to maintain a focused and effective learning environment. By limiting their use and encouraging alternative forms of engagement, we can ensure that students are fully immersed in the learning process and reap the benefits of a technology-free classroom. This approach not only improves students' academic performance but also prepares them for a future where they will need to manage technology responsibly and effectively.。
移动煤矿样品摘取机器人Yuanfang Li等人的动态特性分析:悬挂臂的动态特性对移动煤矿样品摘取机
Dynamic Characteristics Analysis of the Hydraulic Arm ofMobile Coal Sampling RobotYuanfang Li1, Haibo Xu1, Jun Wang2, Rong Deng1 and Yufeng Lin11Xi'an Jiaotong University, Xi’an 710049, Shanxi, China2Xi'an Hongyu mining special mobile equipment Co., Xi’an 710075, Shaanxi, China Abstract—Dynamic characteristics of the hydraulic armaffects the mobile coal sampling robot’s accuracy and efficiency.The complex and varied working conditions put many highrequirements on the stability of the hydraulic arm. This papertook the hydraulic arm of the MCYY2000 mobile coal samplingrobot as the research object, and established a simplified modelof the hydraulic arm with SolidWorks. It carried out the analysisunder both the condition of no-sampling resistance and thecondition of variable sampling resistance. The analysis was donewith the module of multi-body dynamics simulation in Simulink.This paper helps to obtain the joint torques and hydraulicdriving forces of the hydraulic arm under different conditions. The results provide a basis for further work including accurate motion control, chatter reduction and safety improvement of the coal sampling robot.Keywords—coal sampling robot; hydraulic arm; complex working conditions; dynamic characteristicsI.I NTRODUCTIONThe mobile coal sampling robot is suitable for the sampling of carts, trains and coal heaps in places such as coal yards, steel mills, power plants, and harbors[1]. With its advantages of small size, high mobility, and wide adaptability, it has demonstrated an important position in the industry of mechanized coal sampling in recent years. Compared to manual sampling, the mobile coal sampling robot can reduce labor intensity and increase sampling efficiency[2].The MCYY2000 mobile coal sampling robot developed by Xi'an Hongyu Mining Special Mobile Equipment Co., Ltd. has the advantages of convenient movement, simple operation, and various control modes (manual, semi-automatic, and automatic), and can realize the integration of full-section sampling, crushing, shrinking, and collection. With high sampling efficiency, the sampling robot overcomes the disadvantages of low accuracy, low efficiency, and poor flexibility in the current manual sampling and mechanical sampling processes. As respectively shown by No.1-7 in Figure I, the whole structure of the sampling robot is mainly composed of the car chassis, the disposal storage device, the sample preparation device, the hydraulic arm, the hydraulic system, the driving room and the electrical system.FIGURE I. STRUCTURE OF THE MOBILE COAL SAMPLING ROBOT The hydraulic arm is the most important part of the mobile coal sampling robot. Its dynamic characteristics affects the sampling accuracy and sampling efficiency. Therefore, the dynamic characteristics of the hydraulic arm are important targets for the analysis and research of the coal sampling robot[3][4][5]. This paper takes the hydraulic arm of the MCYY2000 mobile coal sampling robot as the research object, establishes a simplified model of the hydraulic arm of the coal sampling robot in the SolidWorks, and carries out the analysis of no-sampling resistance and variable sampling resistance of the hydraulic arm through the multi-body dynamics simulation module of Simulink. The dynamic simulation analysis under the two working conditions helps to obtain joint torques and hydraulic driving forces. The analysis is used to provide the basis for follow-up accurate motion control, reducing flutter, and improved work accuracy and safety.II.I NTRODUCTION OF THE H YDRAULIC A RM ANDW ORKING C ONDITION A NALYSISAs respectively shown by No.1-11 in Figure II, the hydraulic arm of the mobile coal sampling robot is composed the base, the upper arm, the second arm, the telescopic arm, the mast, the sampling head, the upper arm cylinder, the second arm cylinder, the telescopic arm cylinder, the guide cylinder and the swing hydraulic motor. The base is connected with the slewing bearing, and the hydraulic motor provides power. The base drives the entire hydraulic arm to realize a 300° rotation. The upper arm, second arm and telescopic arm are driven by their respective hydraulic cylinders to achieve the motion of pitching and telescoping. The sampling cylinder is fixed in the mast, and the directly reciprocating motion of the sampling head guide rail is driven by moving the pulley block and the chain. This motion controls the vertical down sampling and the oblique down sampling at different angles. The mast makes it possible to keep the upper arm and the second arm stationary3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)during sampling, so the sampling accuracy can be higher. The sampling head is a spiral structure[6] and can complete the deep sampling into coal heaps with a depth of 2 meters.FIGURE II. STRUCTURE OF THE HYDRAULIC ARM The related size parameters of the hydraulic arm of the coal sampling robot are shown in Table I. The parameters in the table are all from the actual design parameters of the MCYY2000 mobile coal sampling robot.TABLE I. RELATED SIZES OF THE HYDRAULIC ARMComponent Size / mmupper arm 2900second arm 2700telescopic arm 1000mast 3400Sampling head 2100Complex and varied working conditions[7] of coal sampling projects put many high requirements on the stability of the dynamic characteristics of the hydraulic arm:(1) When the sampling head of the hydraulic arm is moving at a low speed and operating the pitching movement with no-sampling resistance, the torque of each joint and the driving force of the hydraulic cylinder should be changed smoothly with small amplitude, so that the hydraulic arm can maintain safety and stability during its adjustment of the sampling angle.(2) When the hydraulic arm is sampling at a fixed sampling angle, the sampling head is subject to a varying sampling resistance. At this time, the joint torques and the hydraulic driving forces must avoid sharp changes or exceeding its safety range[8] so that the coal sampling robot can stay safe. The key research of this paper focuses on the dynamic characteristics of the hydraulic arm of the coal sampling robot under the two working conditions.III.A NALYSIS OF D YNAMIC C HARACTERISTICS OF THEH YDRAULIC A RMTo build a virtual prototype, simplified models should be used as much as possible. In order to reduce the simulation time[9], the number of parts should be reduced as much as possible while satisfying the integrity of the virtual prototyping simulation movement. According to the actual size of the hydraulic arm and the types of hydraulic cylinders, the components including the base, the upper arm, the second arm, the telescopic arm, the mast, the sampling head and hydraulic cylinders are modeled and assembled in SolidWorks. The virtual prototype of the hydraulic arm of the coal sampling robot is shown in Figure III.FIGURE III. VIRTUAL PROTOTYPE MODEL OF THE HYDRAULICARMAs shown by No.1-8 in Figure IV. the simplified schematic diagram of the movement mechanism includes three joints - join1, joint2 and joint3 - and five hydraulic cylinders - cylinder1, cylinder2, cylinder3, cylinder4 and cylinder5. The range of the motion of each joint variable and cylinder driving variable is shown in Table II.FIGURE IV. MOTION MECHANISM OF THE HYDRAULIC ARM OFTHE COAL SAMPLING ROBOTTABLE II. RANGE OF JOINT ANGLES AND CYLINDER LENGTHS Joint angle Range /(°) Cylinder length Range / mmjoint θ1 66-130 cylinders1 1750-2750 joint θ2 90-160cylinder s2 1450-2300cylinder s3 2700-3700 joint θ3 60-135cylinder s4 1650-2650cylinder s5 3400-5500Import the assembled model into Simulink and generate a block diagram of the model. Set the appropriate material properties and apply the necessary constraints[10] for each component in the model, and add torque sensors and force sensors for the rotating joints and hydraulic cylinders. The signal window modules are also added. The general Simulink dynamic analysis block diagram after settings is shown in Figure V. The multibody structure diagram of the hydraulic arm is shown in Figure VI.FIGURE V. GENERAL SIMULINK DYNAMIC ANALYSIS BLOCKDIAGRAMFIGURE VI. SIMSCAPE MULTIBODY STRUCTURE DIAGRAM A.Analysis of the Dynamic Characteristics of the HydraulicArm of Coal Sampling Robot under the Condition of No-sampling ResistanceWhen the hydraulic arm is under the no-sampling resistance condition, the sampling head only performs low-speed pitching movements. At this time, each joint torque and the hydraulic cylinder driving force should be stable and be of small-scale changes, so that the coal sampling robot can remain safe and stable during the adjustment of its sampling angle. When analyzing the dynamic characteristics of the hydraulic arm under this condition, the sampling resistance is set to zero. The curve of the length of the hydraulic cylinder s4 is shown in Figure VII. The lengths of cylinders s1, s2, s3 and s5 are respectively set to 2250mm, 1950mm, 2700mm and 3400mm. According to the relationship between the joint variables and the cylinder driving variables, the curve of the joint angle θ3 is shown in Figure VIII.FIGURE VII. CURVE OF THE LENGTH OF CYLINDER 4FIGURE VIII. CURVE OF JOINT ANGLE θ3The curves of the joint torques and the hydraulic cylinder driving forces are respectively shown in Figure IX and Figure X. With the extension and retraction of the mast cylinder s4, the torques of the joint1-joint3 firstly increase and then decrease within a smaller range, and the change trend is relatively stable. The torque of joint1 is the largest. The torque of joint2 is the next, and the torque of joint3 is the smallest. The driving forces of the hydraulic cylinders also change smoothly. The driving force of the hydraulic cylinder1 is the largest, and the driving force of the hydraulic cylinder3 remains basically unchanged.The results show that when the hydraulic arm of the coal sampling robot performs low-speed swing movement of its sampling head under the condition of no-sampling resistance, the joint torques and the driving forces of the hydraulic cylinders change smoothly and slightly. The driving forces of the hydraulic cylinders mainly overcome the effect of gravity. The simulation results are in accordance with the actual situation.FIGURE IX. CURVES OF JOINT TORQUESFIGURE X. CURVES OF CYLINDER DRIVING FORCESB.Analysis of the Dynamic Characteristics of the HydraulicArm of Coal Sampling Robot under the Condition ofVariable ResistanceIn the sampling process, the sampling head of the coal sampling robot is mainly subjected to three external loads including the insertion resistance, the gravity of coal and the lifting resistance. The insertion resistance and the ascending resistance are uncertain under different working conditions. According to formulas and relevant experiences, the insertion resistance and the ascending resistance are respectively set to 6000 N and 5000 N. The designing parameters of the coal sampling robot show that the coal sampling weight is about 200N, which is much smaller compared with the other two resistances. Therefore, the curve of the sampling resistance during vertical sampling process is shown in Figure XI. According to this, the dynamic characteristics of the hydraulic arm of the coal sampling robot under the variable resistance condition can be verified.FIGURE XI. CURVE OF THE SAMPLING RESISTANCEFIGURE XII. CURVE OF THE LENGTH OF CYLINDER 5 When analyzing the dynamic characteristics of the hydraulic arm under the variable resistance condition, the joint angles θ1 and θ2 respectively maintain 70° and 110°. The joint angle θ3 is set to 90°, which means the sampling head performs vertical sampling at a sampling angle of 90°. Curve of the length of Hydraulic cylinder 5 is shown in Figure XII.As shown in Figure XIII and Figure XIV when the sampling resistance is given, the curves of the joint torques and the driving forces of the hydraulic cylinders are no longer smooth. Instead, they show sharp turning changes with the changes of the sampling resistance. The joint 1 and the joint 2 show large torques and relatively large variation. The joint 3 shows relatively small torque. The driving forces of the hydraulic cylinder 1 and the hydraulic cylinder 2 are relatively large and the amplitude of their changes is also large. The driving forces of the hydraulic cylinder 4 and the hydraulic cylinder 5 change within a little range and are relatively stable. The hydraulic cylinder 3 basically has no change of driving force under this condition.The results show that the joint torques and the driving forces of the hydraulic cylinders have turning changes under the condition of variable resistance. Due to the low moving speed of the sampling head, the influence of inertial force and inertia torque is relatively small[11]. The driving forces of the hydraulic cylinders mainly overcome the gravity of the arm itself and the external sampling resistance. The simulation results are in accordance with the actual situation.FIGURE XIII. CURVES OF JOINT TORQUESFIGURE XIV. CURVES OF CYLINDER DRIVING FORCESIV.C ONCLUSIONSThis paper took the hydraulic arm of the MCYY2000 mobile coal sampling robot as the researching object. It established a simplified model of the hydraulic arm with SolidWorks, and carried out the dynamic simulation analysis of the hydraulic arm under both the condition of no-sampling resistance and the condition of variable resistance with the Simulink. The simulation results are basically in accordance with the actual situation.(1) Under the condition of no-sampling resistance, the hydraulic arm of the coal sampling robot performs low-speed swing movement of the sampling head. The joint torques and the driving forces of the hydraulic cylinders change smoothly and slightly. The driving forces of the hydraulic cylinders mainly overcome the effect of gravity.(2) Under the condition of variable resistance, the joint torques and the driving forces of the hydraulic cylinders show turning changes. Due to the low moving speed of the sampling head, the influence of inertial force and inertial torque are relatively small. The driving forces of the hydraulic cylinders mainly overcome the gravity of the arm itself and the external sampling resistance.In this paper, the joint torques and hydraulic driving forces of the hydraulic arm are obtained through dynamic simulation analysis. The results help to provide a basis for further work including accurate motion control, chatter reduction and safety improvement of the coal sampling robot.A CKNOWLEDGMENTThanks to the support of Xi'an Hongyu Mining Special Mobile Equipment Co., Ltd. And thanks to the help of Shaanxi Science & Technology Co-ordination & Innovation Project.R EFERENCES[1]Yang Jinhe and Liu Enqing. Discussion on mechanized sampling ofcommercial coal [J]. Coal Processing & Comprehensive Utilization, 2007(04): 29-30.[2]Sun Gang. Research on Performance Index of Coal Sampling Machine[J].Journal of China Coal Society, 2009, 34(06): 836-839.[3]Qu Can. Virtual Design of Sampling Arm for Vehicle Coal samplingrobot [D]. Xi'an: Chang’an University, 2014.[4]Lu Na. Dynamic Analysis of Sampling Arm of Coal Sampling MachineBased on ANSYS [D]. Xi'an: Chang’an University, 2014.[5]Li Longlong. Inverse Kinematics Analysis and Sampling TrajectoryControl Simulation of Coal Sampling Arm [D]. Xi'an: Xi’an University of Architecture and Technology, 2014.[6]Li Xuta, He Lile, Zhang Youzhen and Leng Mingyou. Analysis of SpiralDrill Pipe Fatigue Strength of Spiral Coal Sampling Device [J]. Coal Engineering, 2012(11): 93-94+98.[7]Zhu Xiaoyong and Zhang Yuangen. Common problems in coal samplingand its solution [J]. Modern Industrial Economy and Informationization, 2017, 7(16): 72-74.[8]Chen Chuanxiong and Kong Jian. Optimization Design and Analysis ofCoal Sampling Robot Transmission System [J]. Coal Technology, 2016,(02): 259-262.[9]Geng Chunxia and Ye Feng. Research on the Optimized Design ofSampling Arm of Coal Sampling Machine [J]. Coal Technology, 2013,(12): 14-16.[10]SUN Xuguo, HUANG Sunzhuo, LIN Shuwen, et al. Modeling andsimulation of excavator mechanism dynamics based on Matlab[J].Mechanical Engineer, 2007(9): 91-93.[11]Zheng Deshuai, Gu Lichen, Zhang Ping and Jia Yongfeng. AMESimmodeling and feasibility analysis of a new coal sampling arm [J].Machine Tool & Hydraulics, 2013, 41(13): 155-157.。
2024湖北省武汉市高三下学期5月模拟训练英语试题及答案
武汉市2024届高三年级5月模拟训练试题英语试卷武汉市教育科学研究院命制2024. 5. 22本试题卷共12页,67题。
全卷满分150分。
考试用时120分钟。
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写在试卷、草稿纸和答题卡上的非答题区域均无效。
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第一节(共5小题;每小题1. 5分,满分7. 5分)听下面5A、B、C三个选项中选出最佳选项。
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例:How much is the shirt?9. 18.A. 19. 15. Β. C. 9. 15.答案是C。
1. How much will the man pay?A. $ 10.B. $ 18.C. $ 20.2. What does Ms. Jones do every day?A. Work overtime.B. Go jogging.C. Play tennis.3. What does the apartment lack according to the man?A. Machines.B. Furniture.C. Decorations.4. Where does the conversation probably take place?A. At a gas station.B. At a parking area.C. At a convenience store.5. What’s wrong with the man’s shirt?A. The size.B. The color.C. The material.第二节(共15小题,每小题1. 5分,满分22. 5分)听下面5段对话或独白。
吃饭玩手机的危害的英语作文
吃饭玩手机的危害的英语作文The Hazards of Eating While Using Mobile Phones.In today's fast-paced world, the mobile phone has become an integral part of our daily lives. We use it for communication, entertainment, work, and even as a companion. However, one habit that has become increasingly common is the use of mobile phones while eating. While this might seem like a harmless habit, it actually poses several significant hazards to our health and well-being.Firstly, eating while distracted by a mobile phone can lead to improper chewing and swallowing. When we are engrossed in our phones, we often fail to pay attention to the food we are eating, resulting in rapid chewing and swallowing. This can lead to indigestion, as the food isnot broken down properly before entering the stomach. Itcan also increase the risk of choking, especially for young children and the elderly.Moreover, using mobile phones while eating caninterfere with our enjoyment of food. Eating is not just a physiological activity; it is also a sensorial experience. The smell, taste, texture, and appearance of food all contribute to our dining pleasure. However, when we are constantly glancing at our screens, we miss out on these sensorial pleasures and rob ourselves of the joy of eating.Additionally, eating while using mobile phones can have negative psychological effects. It can lead to feelings of isolation and loneliness, as we become more connected to the virtual world than to the people and environment around us. This constant connection to our phones can also lead to stress and anxiety, as we become constantly accessible to work, social media, and other demands.Furthermore, there are also physical health concerns associated with eating while using mobile phones. Looking down at our screens for extended periods can strain our necks and shoulders, leading to pain and discomfort. It can also affect our posture, causing us to hunch over, which can lead to back pain and other musculoskeletal issues.Moreover, the radiation emitted by mobile phones has also been linked to various health concerns. While the exact effects of this radiation on the human body are still being studied, some studies have suggested that it may have negative impacts on brain function, sleep quality, and even the development of certain types of cancer. Eating while using a mobile phone may increase our exposure to this radiation, potentially increasing the risk of these health issues.Lastly, eating while using mobile phones can affect our social interactions. Mealtimes are often an opportunity for family and friends to gather and connect. However, when everyone is glued to their phones, this opportunity for social connection is lost. This can lead to feelings of disconnection and isolation, affecting our mental well-being.In conclusion, while it might seem harmless to use mobile phones while eating, the truth is that it poses significant hazards to our health and well-being. It canaffect our digestion, sensorial experience, psychological state, physical health, and social interactions. Therefore, it is important that we make a conscious effort to put down our phones and focus on our meals. This will not only help us enjoy our food better but will also contribute to our overall health and happiness.。
基于递归卷积神经网络的移动机器人定位算法
Computer Engineering and Applications 计算机工程与应用2019,55(10)1引言清洁机器人、导航机器人等多类机器人已极大地方便了人们的日常生活。
而估计当前位置是这些机器人的关键任务,称为机器人定位,其也是移动机器人领域的研究热点[1]。
机器人通过周围环境的地图信息、测量法和所观察的数据估计自己的位置。
然而,由于机器人的车轮滑动或噪声数据、环境的变化等原因,产生定位误差。
应对环境变化或噪声数据的鲁棒定位算法是机基于递归卷积神经网络的移动机器人定位算法李少伟1,王胜正21.江汉大学数学与计算机科学学院计算机科学与技术系,武汉4300562.上海海事大学商船学院航海系,上海201306摘要:移动机器人定位已成为机器人研究的重要任务。
提出基于递归卷积神经网络的移动机器人定位(Recur-rent Convolutional Neural Networks-Based Mobile Robot Localization ,RCNN-MRL )算法。
递归卷积神经网络(Recurrent Convolutional Neural Networks ,RCNN )结合卷积神经网络(Convolutional Neural Networks ,CNN )和递归神经网络(Recurrent Neural Networks ,RNN )的特性,并依据机器人上嵌入的照相机拍摄的第一人称视角图像,RCNN-MRL 算法利用RCNN 实现自主定位。
具体而言,先通过RCNN 有效地处理多个连续图像,再利用RCNN 作为回归模型,进而估计机器人位置。
同时,设计双轮机器人移动,获取多个时间序列图像信息。
最后,依据双轮机器人随机移动建立仿真环境,分析机器人定位性能。
实验数据表明,提出的RCNN 模型能够实现自主定位。
关键词:移动机器人定位;第一人称视角;时间序列图像;递归卷积神经网络;双轮机器人文献标志码:A 中图分类号:TP391doi :10.3778/j.issn.1002-8331.1801-0141李少伟,王胜正.基于递归卷积神经网络的移动机器人定位算法.计算机工程与应用,2019,55(10):240-243.LI Shaowei,WANG Shengzheng.Recurrent convolutional neural networks-based mobile robot localization puter Engineering and Applications,2019,55(10):240-243.Recurrent Convolutional Neural Networks-Based Mobile Robot Localization AlgorithmLI Shaowei 1,WANG Shengzheng 21.Faculty of Computer Science and Technology,School of Mathematics and Computer Science,Jianghan University,Wuhan 430056,China2.Faculty of Navigation,Merchant Marine College,Shanghai Maritime University,Shanghai 201306,ChinaAbstract :Mobile robot localization has been considered to be an important task in the field of robotics research.This paper proposes Recurrent Convolutional Neural Networks-Based Mobile Robot Localization (RCNN-MRL )algorithm.RCNN (Recurrent Convolutional Neural Networks )is a neural networks model that combines Convolutional Neural Net-works (CNN )and Recurrent Neural Networks (RNN ),and RCNN-MRL estimates the self-position from the first person view captured by a camera on a robot by using RCNN.Specifically,it uses a regression model for localization by using RCNN capable of processing consecutive images.This paper uses simulated environments where a two-wheel robot moves randomly,and analyzes the performance of localization.The experiments show that RCNN model can estimate the self-position of the robot.Key words :mobile robot localization;first person view;time series image;convolutional neural networks;two-wheel robot 基金项目:国家自然科学基金(No.51379121,No.61304230);上海市曙光人才计划项目(No.15SG44)。
大学生移动学习特点及影响因素
办公自动化杂志0引言信息通信技术和互联网高速发展给“互联网+教育”带来机遇,移动设备价格降低,功能逐渐完善,使得移动学习的普及成为可能。
移动学习不受时间和空间的限制,移动设备便于携带使用方便,使得移动学习越来越受到广大用户的欢迎[1]。
移动学习扩展和延伸传统的课堂教学活动,突破时间和空间的限制,凸显学习者的学习能动性[2],为当代大学生和学习社会带来变革,被认为是一种未来的学习模式。
有学者认为,移动学习的普及会使全面教育、终生教育成为可能,移动学习主体也将面向全社会。
从目前来看,移动学习凭借其随时随地可学习的便利性深受大学生的喜爱,大学生成为移动学习的主体。
论文以大学生为分析对象,以大学生移动学习的特点、需求以及影响因素作为调研内容,设计调查问卷,问卷主要通过网络方式进行发放,以期对当代大学生的移动学习特点进行较为全面的研究。
1移动学习的定义和特点1.1移动学习定义移动学习是数字化学习的延伸,指学习者在其可能实现的任何时间、任何地点通过移动设备和无线通信网络获得学习资源[3],与他人进行交流和协作,实现个人与社会知识构建的过程。
对于移动学习的定义学界中有不同的解释。
2003年Alexzander Dye 博士对移动学习定义是“移动学习(Mobile Learning)是一种在移动设备帮助下能在任何时间、任何地点发生的学习,移动学习所使用的移动设备必须能有效地呈现学习内容并且提供教师与学习者之间的双向交流”[4];叶成林等人认为“移动学习是指利用无线移动通信网络技术以及无线移动通信设备获取教育信息、教育资源和教育服务的一种新型学习形式”[5];笔者认同马庆伟对移动学习的定义,即:“移动学习是在无线移动通讯设备迅速发展的情况下,兴起的利用移动设备在任何地点、任何时间进行学习的方法和方式。
”[6]1.2移动学习的特点1.2.1便携性随着科技的不断发展,移动设备越来越轻巧,功能越来越完善,相比于传统的PC 客户端等等数字化设备更加便于携带,方便用户随时随地地进行学习[7]。
课堂上玩手机的危害英语作文
The Hazards of Using Mobile Phones inClassroomsIn today's digital era, mobile phones have become an integral part of our lives, but their presence in the classroom can be highly disruptive and harmful. This essay delves into the reasons why using mobile phones in class should be avoided and the negative consequences it brings. Firstly, mobile phones can be a significant distraction in the classroom. When students are constantly checking their phones for notifications, messages, or social media updates, they are not fully engaged in the lesson. This lack of concentration can lead to missed information, which can have a negative impact on their academic performance. Additionally, when one student is using their phone, it can also distract other students, creating a domino effect that disrupts the entire class.Secondly, mobile phones can encourage cheating. With easy access to the internet and various applications, students can quickly search for answers to questions or complete assignments without putting in the effort. This not only robs them of the opportunity to learn but alsogives them a false sense of achievement. Cheating can also lead to unfair competition and create an unhealthy learning environment.Moreover, excessive phone use can have negative effects on students' mental health. Constantly checking their phones for updates can lead to anxiety and stress, as well as issues with sleep and concentration. This can have a significant impact on their overall well-being and ability to function effectively in school and beyond.Lastly, using mobile phones in class can erode teacher-student relationships. When teachers feel that theirefforts are being undermined by students' phone use, it can lead to feelings of disrespect and frustration. This can create a tense and unproductive learning environment where students are less likely to engage with the material or seek help when needed.In conclusion, the hazards of using mobile phones in classrooms are numerous and far-reaching. They range from decreased academic performance and cheating to mental health issues and eroded teacher-student relationships. To ensure an effective and healthy learning environment, it iscrucial that students are encouraged to leave their phones aside and fully engage with the classroom. This not only benefits their academic success but also helps them develop the skills and habits necessary for success in life.**课堂上玩手机的危害**在当今数字化时代,手机已成为我们生活中不可或缺的一部分,但手机在课堂上的存在可能会带来极大的干扰和危害。
家用机器人的英语作文
Home robots have become an increasingly popular topic of discussion and research in recent years.They are designed to assist with various household tasks,ranging from cleaning to cooking,and even providing companionship to their owners.Heres a detailed English essay on the subject:Title:The Evolution and Impact of Home RobotsIntroduction:The concept of home robots has long fascinated the human imagination,from the Jetsons Rosie to modernday Roombas.As technology advances,these once futuristic devices are becoming a reality,transforming the way we live and interact with our homes.Development of Home Robots:The development of home robots has been a gradual process.Early models were primarily focused on simple tasks such as vacuuming,with the Roomba being a notable example.Over time,these robots have become more sophisticated,integrating advanced sensors and AI to navigate complex environments and perform a wider array of tasks.Types of Home Robots:There are several types of home robots,each designed for specific purposes:1.Cleaning Robots:These are the most common type,designed to clean floors and carpets.They use sensors to map out a room and avoid obstacles.2.Cooking Robots:Some advanced models can prepare meals,following recipes and even cooking food to a certain level of doneness.panion Robots:These robots are designed to provide companionship,especially for the elderly or those living alone.They can engage in conversation,remind users of appointments,and even detect falls or health emergencies.4.Security Robots:Equipped with cameras and motion sensors,these robots can patrol a home,alerting owners to any unusual activity.Benefits of Home Robots:Home robots offer numerous benefits,including:Efficiency:They can perform tasks more efficiently than humans,especially repetitive chores.Accessibility:For those with mobility issues,home robots can provide a level ofindependence that was previously unattainable.Safety:Robots can perform tasks that may be dangerous for humans,such as cleaning high windows or monitoring a home while the owner is away.Challenges and Concerns:Despite the benefits,there are also challenges and concerns associated with home robots:Privacy:With the integration of cameras and sensors,there are concerns about the potential invasion of privacy.Reliability:As with any technology,there are concerns about the reliability and safety of home robots,especially in emergency situations.Cost:Highend home robots can be expensive,making them inaccessible to many consumers.Future of Home Robots:The future of home robots looks promising.As AI and robotics continue to advance,we can expect home robots to become even more capable and integrated into our daily lives. They may eventually take on roles in childcare,education,and even personal health management.Conclusion:Home robots represent a significant leap forward in home automation and personal assistance.While there are challenges to overcome,the potential benefits are vast, offering a glimpse into a future where technology and humanity coexist in harmony to create a more efficient and comfortable living environment.Word Count:500。
人教版全国全部高考专题英语高考真卷试卷及解析
人教版全国全部高考专题英语高考真卷1.阅读理解第1题.For more than a decade, Ma Wansheng ran a small food stand in a night-market in Lanzhou, providing local snacks for people working overtime. Receiving payments had always been a hassle for the 71-year-old, who often had to search his pocket for change on chilly nights while keeping an eye on food in the oven.Doing business became much easier after his grandson helped him set up a mobile payment app—WeChat Pay last year. A piece of paper with his QR payment code has helped the check-out process. "About 95 percent of my customers pay with their phones. It's convenient for both of us," said Ma. "And giving the wrong change is no longer an issue."Like Ma, an increasing number of China's senior citizens have adopted Internet-based mobile technology and many have also started to enjoy the convenience of mobile payment apps. According to a report released by the Chinese Academy of Social Sciences at the end of 2017, the ratio of Internet users who are over 60 or above rose to 5.2 percent, up 1.2 percentage points in a year. "For many Chinese, mobile payment has become an essential part of their everyday lives. It not only changes the lives of young people, but also provides convenience for the elderly," said Zhang Jianjun, an economist in Gansu.China had more than 241 million people aged 60 or above at the end of 2017, 17.3 percent of the total population at the time, according to officialstatistics. The country's elderly will account for about one-quarter of the population by 2030.Realizing that new technology can be an effective tool in solving many problems related to old age, the Chinese government has been promoting the use of technologies such as the Internet and artificial intelligence in the area of old-age care.【长难句分析】:1. For more than a decade, Ma Wansheng ran a small food stand in a night-market in Lanzhou, providing local snacks for people working overtime.翻译:十多年来,马万生在兰州的一个夜市经营着一个小吃摊,为加班加点的人提供当地小吃。
A Survey of Research on Mobile Cloud Computing
A Survey of Research on Mobile Cloud ComputingLe Guan Beijing University of Posts and TelecommunicationsBeijing, China optimism1226@Xu KeBeijing University of Postsand TelecommunicationsBeijing, Chinapermit@Meina SongBeijing University of Postsand TelecommunicationsBeijing, Chinamnsong@Junde SongBeijing University of Postsand TelecommunicationsBeijing, Chinajdsong@Abstract—The rapid development of mobile computing and cloud computing trigger novel computing paradigm-----Mobile Cloud Computing. This paper review current research effort towards Mobile Computing. First, we present several challenges for the design of Mobile Cloud Computing service. Second, a concept model has been proposed to analyze related research work. Third, we survey recent Mobile Cloud Computing architecture, application partition & offloading , and context-aware service.Keywords-mobile cloud computing, application partition, offloading, context-awareI.I NTRODUCTIONNowadays, the market of mobile phone has expanded rapidly. By the end of 2009, less than 20 years later, the number of mobile cellular subscriptions worldwide reached approximately 4.6 billion, 370 times the 1990 number [1]. The widely use of mobile phone lead to the prosperity of mobile service. Dream of “Information at your fingertips anywhere, anytime” has become true. However, mobile devices still lack in resources compared to a conventional information processing device such as PCs and laptops. Also, the limitation of battery restricts working time. How to augment capability of mobile phone has become the important technical issue for mobile computing.The paradigm of cloud computing brings opportunities for this demand. Cloud computing provide new supplement, consumption, and delivery model for IT service. Cloud-based services are on-demand, scalable, device-independent and reliable. Thus, there comes Mobile Cloud Computing, which aims at using cloud computing techniques for storage and processing of data on mobile devices, thereby reducing their limitations. According to ABI Research, by 2015, more than 240million business customers will be leveraging cloud computing services through mobile devices, driving revenues of $5.2billion[2].To deliver cloud service in mobile environment, we might face several problems. Device may hand off among different wireless transmission district, and transport channels are not so reliable to guarantee cloud service delivery. Furthermore, mobile devices can’t handle complicated applications due to their innate characters. Also, it is impossible that mobile device always online, that is, we should consider the offline solution for mobile device. What’s more, the absence of standards, security and privacy, elastic mobile applications requirement may obstruct the development of Mobile Cloud Computing as well.Researchers provide various solutions for Mobile Cloud Computing service. Some proposal application partition & offload schemes to leverage the working load of Cloud and Client, which may reduce processing burden on the mobile client. Several researchers focus on the feature of “Mobile”, to provide context-aware service for users, which may triggers new applications for mobile environment. Contexts include geo-location and social activities.This paper introduces the basic model of Mobile Cloud Computing, and surveys state-of-art of systems. First, we describe technical challenges of Mobile Cloud Computing. Then, after introducing concept model and basic architecture, we survey key technologies, e.g. partition & offloading and context-based service. At last, we conclude the recent research activities of Mobile Cloud Computing.The rest of paper is organized as follows: SectionⅡshows challenge of Mobile Cloud Computing service. Section Ⅲpresents basic model and architecture of Mobile Cloud Computing systems. Section Ⅳtalks about partition & offloading schemes and SectionⅤdescribes context-aware service. Section Ⅵ conclude the whole paper.II.C HALLENGES OF M OBILE C LOUD C OMPUTING Mobile Cloud Computing services are implemented in mobile wireless environment, incorporating several challenges such as the dependency on continuous network connections. Also Mobile Cloud Computing concepts rely on an always-on connectivity and will need to provide a scalable and high quality mobile access.work latency and limited bandwidth in the mobilenetworkFirst, Mobile Cloud Computing may face the challenge from the transmission channel due to the intrinsic nature and constraints of wireless networks and devices. This is especially true when it comes to rich-internet and immersive mobile applications, e.g. online gaming and augmented reality that require high-processing capacity and minimum network latency. These will most probably continue to be processed2011 10th IEEE/ACIS International Conference on Computer and Information Sciencelocally on powerful smart phones and mobile tablets. Mobile broadband networks generally require longer execution times for a given application to run in the cloud and network latency issues may deem certain applications and services unfit for the mobile cloud.B.Various access scheme in mobile envinromentMobile Cloud Computing would be deployed in a heterogeneous access scenario with different radio access technologies such as GPRS, 3G, WLAN, WiMax. Mobile Cloud Computing requires wireless connectivity with the following features:•Mobile Cloud Computing requires an “always-on”connectivity for a low data rate cloud control signalingchannel.•Mobile Cloud Computing requires an “on-demand”available wireless connectivity with a scalable linkbandwidth.•Mobile Cloud Computing requires a network selection and use that takes energy-efficiency and costs intoaccount.The most critical challenge of Mobile Cloud Computing is probably to guarantee a wireless connectivity that meets the requirements of Mobile Cloud Computing with respect to scalability, availability, energy- and cost-efficiency [3].C.Elastic application modelsCloud Computing services are scalable, via dynamic provisioning of resources on a fine-grained, self-service basis near real-time, without users’ consideration for peal loads. This requirement is particularly important towards mobile cloud computing scenario. Mobile applications can be launched on the device or cloud, and can be migrated between them according to dynamic changes of the computing context or user preferences. Also, limited resource of mobile device will restrict application processing. Thus, elastic application model should be proposed to solve fundamental processing problemD.Security and PrivacyCloud computing users prove their identities with digital credentials, typically passwords and digital certificates. If an attacker could fake or steal these credentials, the cloud computing system will suffer from spoofing attacks. In mobile cloud computing, the problem is even severe because mobile devices often lack of computing power to execute sophisticated security algorithms. Moreover, it is difficult to enforce a standardized credential protection mechanism due to the variety of mobile devices [4].III.C ONCEPT MODEL AND A RCHITECTURE .In this section, we present concept model to analyze mobile cloud computing technology, and then provide several architecture model to organize Mobile Cloud Computing systems. A.Concept modelAs well known, cloud computing service can be divided into three types according to delivery manner: Infrastructure asa Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS). However, Mobile Cloud Computing would not separate into these types. Mobile Cloud Computing focuses on the connection between client and cloud, which may differ from common features of cloud computing.In architectural considerations of creating next generation mobile applications, Jason H Christensen [5] proposal three component archetype: the combination of smart mobile device, REST based cloud computing, and context enablement. This three component model matches with transmission model of Mobile Cloud ---“Client-Connection-Cloud”.We can reconstruct concept model on vertical view, as shown in Figure.1. The left and right entities are respectively client and cloud. Between client side and cloud side there is “Transmission Channel” component. Upon this entity are “Resource Scheduling” and “Context Management” components, both of which occupy client and cloud sides. The prerequisite of this model is that: a) The client is context-aware;b) Cloud side should deliver elastic, on-demand service for client. Next, we explain three middle part of the model with down-top approach.Figure 1. Concept model of Mobile Cloud Computing1)Transmission ChannelTransmission channel refers to various wireless transport protocols. The wireless connection between client and cloud is double-edged sword for mobile cloud computing applications: For one thing, the weak transmission channels degrade performance of stable cloud service; for another, dynamic characters of connection produce various contexts, which trigger prosperous mobile applications.2)Resource SchedulingResource scheduling component address the schedule o resource, such as computing resource and storage resource. In this level, virtual machines will be introduced to handle of resource dispatch. Nevertheless, we can view this problem in another view. Resource may be stable but applications may transmit to other places. In mobile cloud computing scenario we often consider to decompose complex application and handle application with parallel methods. Usually, application partition and offloading may contribute to usage of mobile device. Partition and offloading approach will be studied in Section Ⅳ.3)Context ManagementContext Enabled features of mobile device allow us to ascertain additional information from the computing device itself without the need for explicit user input. Context Management module can track context parameters and adapt to modification of context conditions. This capability has enabled a number of new application spaces such as Location Based Services (LBS), spatial augmented reality (SAR), and explicit spatial contexts using Bluetooth or WiFi.Typically, context can be classified into two types:a)Spatial contextsSpatial contexts are contexts that are based on position, proximity. They allow context-aware applications to provide input for Location Based Service. For example, my iPhone can get location information and provide to Foursquare software, then I can play online games.b)Social contextsSocial contexts are contexts that have been explored in social network analysis threads. In the context of mobile computing these contexts are particular ones that out of inherent characters of mobile computing but encourage user to group interaction.Context management technology will be surveyed in Section Ⅴ.B.ArchitectureThe architecture of Mobile Cloud Computing refers to the organization of Mobile Cloud Computing systems. Generally, most researchers want to enhance capability of mobile devices with cloud technology. Also, some researchers explore the use of cloud computing to execute mobile applications in behalf of the device. Thus, architecture scheme contains two types: agent-client scheme and collaborated scheme.1)Agent-client schemeIn this scheme, cloud side provides overall resource management for mobile devices, to help to overcome limitations of mobile devices in particular of the processing power and data storage. As is shown in Figure 2, cloud side generate agent for each device. Mobile device communicatewith its agent to contact with other entities outside this domain.Figure 2. Agent-client architecture for Mobile Cloud ComputingMahadev Satyanarayanan [6] provided cloudlet-based, resource-rich, mobile computing. In this architecture, a mobile user exploits virtual machine technology to customize service software on a nearby cloudlet and then uses that service over a wireless LAN; the mobile device typically functions as a thin client with respect to the service. A cloudlet is decentralized and widely-dispersed Internet infrastructure whose compute cycles and storage resources can be leveraged by nearby mobile computers. The natural implementation is to extend Wi-Fi access points to include substantial processing, memory and persistent storage for use by associated mobile devices.Xinwen Zhang [7] built elastic applications which augment resource-constrained platforms. An elastic application can consist of one or more weblets, which function independently, but communicate with each other. When the application is launched, an elasticity manager running on the device monitors the resource requirements of the weblets of the application, and makes decisions where they should be launched. Computation intensive weblets usually strain the processors of mobile devices, therefore they can be launched on one or more platforms in the cloud; while user interface components (UI) or those needing extensive access to local data may be launched on the device.2)Collaborated schemeCollaborated schemes regard device as a part of cloud. This approach utilize remain resource of mobile device. The function of cloud server may be the controller and schedulerfor collaboration among devices.Figure 3. Collaborated architecture for Mobile Cloud CoputingHyrax [8] is a platform derived from Hadoop that supports cloud computing on Android smart phones. Hyrax allows client applications to conveniently utilize data and execute computing jobs on networks of smart phones and heterogeneous networks of phones and servers. By scaling with the number of devices and tolerating node departure, Hyrax allows applications to use distributed resources abstractly, oblivious to the physical nature of the cloud. In Hyrax, several traditional machines play the role of NameNode and JobTracker.Black and Edgar [9] demonstrated the feasibility and value of enabling mobile devices within a grid computing framework by implementing the BOINC client on an Apple iPhone. Work units are downloaded from a BOINC server and executed on the iPhone via a virtual machine emulating an x86 processor, and results are uploaded to the server. The world of mobiledevices brings renewed challenges to the problem of grid client design in the areas of network bandwidth, processor capability, storage, and energy consumption.IV.A PPLICATION PARTITION AND OFFLOADING Application partition and offloading technology play an important role for the implementation of elastic applications. Application partition decompose complex workload to atomic ones, thus can be processed concurrently. Offloading application can free burden of mobile devices and save their energy consumption.A.PartitionTo achieve seamless and transparent migration and offloading, each application should be partitioned into components. Application partition should consider resource consumption and data dependency.Ioana Giurgiu [10] el. proposed two-step approach to optimally partition an application between a mobile phone and a server. First, they abstract an application’s behavior as a data flow graph of several inter-connected software modules. Given this graph, in the second step, a partitioning algorithm finds the optimal cut that maximizes (or minimizes) a given objective function. They propose two types of partitioning algorithms: ALL and K-step. In the first case, the best partitioning is computed offline by considering different types of mobile phones and network conditions. In the second case, the partitioning is computed on-the-fly, when a phone connects to the server and specifies its resources and requirements. ALL fits the first scenario, while K-step the second one.Xun Luo [11] presented “Cloud-Mobile Convergence for Virtual Reality (CMCVR)” concept. In CMCVR, to take advantage of the better load balancing inherent in by-region application partitioning, the author proposed Hybrid Application Partitioning Strategy, also in two steps: The first stage breaks down the workload with the by-scale strategy; large workloads at high scale levels are further partitioned in the second stage which uses the by-region strategy. The partitioning process is completed when an optimized overall system performance is achieved.Byung-Gon and Petros [12] introduced the notion of dynamic partitioning of applications between weak devices and clouds and argue that it is the key to addressing heterogeneity problems. The author found that partitioning applications statically does not provide optimal user experience as more and more applications are used in diverse environments and inputs. So it is decision to demand particular purpose. The decision may be impacted not only by the application itself, but also by the expected workload and the execution conditions, such as network connectivity and CPU speeds of both weak and cloud devices. After formalizing the dynamic partitioning problem, and sketch how to construct a system that supports dynamic partitioning.B.OffloadingOffloading task from client to cloud can reduce energy consumption of mobile device [13]. The problem is the choice of offloading percent and methods. Should we put all applications to cloud?Byung-Gon and Petros [14] first introduced offloading execution from the smart phone to a computational infrastructure hosting a cloud of smart phone clones. The idea is simple: clone the entire set of data and applications from the smart-phone onto the cloud and selectively execute some operations on the clones, reintegrating the results back into the smart-phone. There are five types of augmentation, each of which uses special method to offloading. One can have multiple clones for the same smart-phone, clones pretending to be more powerful smart-phones, etc.Eduardo Cuervo [15] el. presented MAUI, a system that enables fine-grained energy-aware offload of mobile code to the infrastructure. It maximizes the potential for energy savings through fine-grained code offload while minimizing the changes required to applications. First, MAUI uses code portability to create two versions of a smart phone application, one of which runs locally on the smart phone and the other runs remotely in the infrastructure. Second, MAUI uses programming reflection combined with type safety to automatically identify the remote methods and extract only the program state needed by those methods. Third, MAUI profiles each method of an application and uses serialization to determine its network shipping costsV.C ONTEXT-AWARE S ERVICEIt is context that distinguishes mobile cloud computing from common concepts. Context leads to advent of various mobile applications. As mentioned in Section Ⅲ,contexts can be classified into two types, spatial contexts and social contexts. First we introduce common context management methods, and then discussmon context managementAndreas Klein [16] el. presented a framework for the use of context information for the Heterogeneous Access Management (HAM) provided by the Mobile Cloud as a service for the mobile terminals. A formal method assessing link quality based on available context information has been developed for triggering handover mechanisms. The proposed Context Management Architecture (CMA) is responsible for acquiring, processing, managing, and delivering context information. Context Quality Enabler (CQE) controls the provision of context information according to the requirements of the Mobile Cloud Controller. Finally, based on the outlined HAM concept, the author presented a context-aware radio network simulator (CORAS) that is able to model context availability, accuracy, and delay, thus enabling an evaluation of the impact of different levels of context relevance, confidence, and quality on simulation results.Hyun Jung La [17] presented a framework for enabling context-aware mobile services. The framework enables tasks of capturing context, determining what context-specific adaptation is needed, tailoring candidate services for the context, and running the adapted service. The net result of context-aware services is for consumers to receive better services which fit to the current context of the consumers.Aaron Beach [18] presented a vision of mobile-cloud computing in which context-aware services are organized and integrated by a Context-Aware Intention Compiler (CAIC). Run-time creation of these programs allows contextual information from a mobile phone and the environment to be integrated in real-time. Furthermore, the mobile device can look up context-aware services using a Contextual Lookup Service, which maps context and intention to the appropriate Context-Aware Intention Compiler. Use of the CAwbWeb framework allows mobile-cloud challenges to be divided into four major concerns: specifying intention, describing context, identifying appropriate actions, and efficient actuation of those actions.B.Spatial contexts servicePatrick Stuedi [19] el. presented WhereStore, a location-based data store for Smartphones interacting with the cloud. The key property of WhereStore is that it uses the phone's location history to determine what data to replicate locally. The main goal of caching cloud data on the phone is to decrease the overall data access latency and also reduce the probability of data becoming unavailable in periods of no connectivity. Furthermore, WhereStore is a shared resource for different applications and exchanges data with the cloud in batches, thus potentially reducing the overall energy consumption on the phone.Pelin Angin [20] el. proposed a mobile-cloud collaborative approach for context-aware navigation by exploiting the computational power of resources as well as location-specific resources available on the Internet. The author proposes an extensible system architecture that minimizes reliance on infrastructure, thus allowing for wide usability.C.Social contexts serviceDejan Kovachev [21] el. proposed Mobile Community Cloud Platform (MCCP) as a cloud computing system that can leverage the full potential of mobile community growth. Also, the author analyses the requirements of mobile communities, proposes a cloud computing model for mobile communities, and discusses the technical settings of this cloud infrastructure.Lan Zhang [22] el. designed and constructed a multi-hop networking system named MoNet based on WiFi, and a privacy-aware geo-social networking service. Also the author designs a distributed content sharing protocol which can significantly shorten the relay path, reduce conflicts and improve data persistence and availability. A role strategy is designed to encourage users to collaborate in the network. Furthermore, a key management and an authorization mechanism are developed to prevent some attacks and protect privacy.Eric Jung [23] el. proposed to exploit the potential of smart phones in proximity cooperatively, using their resources to reduce the demand on the cellular infrastructure. The author introduces RACE (Resource Aware Collaborative Execution), a Markov Decision Process (MDP) optimization framework that takes user profiles and user preferences to determine the degree of collaboration. Then RACE can enable the use of other mobile devices in the proximity as mobile data relays.VI.C ONCLUSIONThis paper surveys recent research activities on Mobile Cloud Computing. Mobile Cloud Computing aims to utilize cloud computing techniques for storage and processing of data on mobile devices, thereby reducing their limitations. Several problems would challenge the development, including intrinsic nature of mobile device and wireless connection. Then we proposal concept model for Mobile Cloud Computing systems and analyze typical architecture. After that, we discuss the detail of technology, application partition & offloading and context-aware services.A CKNOWLEDGMENTThis work is supported by the National Key project of Scientific and Technical Supporting Programs of China (Grant Nos.2008BAH24B04, 2008BAH21B03); the National Natural Science Foundation of China (Grant No.61072060); the Program of the Co-Construction with Beijing Municipal Commission of Education of China.R EFERENCES[1]Mobile Phone’s wikipedia. /wiki/Mobile_phone[2]Mobile Cloud Applications. ABI Research Report./research/1003385-Mobile+Cloud+Computing[3]Chetan S., Gautam Kumar, K. Dinesh, Mathew K., and Abhimanyu M.A.Cloud Computing for Mobile World. 2010; Available from: /projects/CCMW.pdf.[4]Sheng Xiao and Weibo Gong. Mobility Can Help: Protect User Identitywith Dynamic Credential. in Mobile Data Management (MDM), 2010 Eleventh International Conference on. 2010.[5]Jason H. Christensen, Using RESTful web-services and cloudcomputing to create next generation mobile applications, in Proceeding of the 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications. 2009, ACM: Orlando, Florida, USA. p. 627-634.[6]M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies, The Case forVM-Based Cloudlets in Mobile Computing. Pervasive Computing, IEEE, 2009. 8(4):14-23.[7]Xinwen Zhang, Joshua Schiffman, Simon Gibbs, AnugeethaKunjithapatham, and Sangoh Jeong, Securing elastic applications on mobile devices for cloud computing, in Proceedings of the 2009 ACM workshop on Cloud computing security. 2009, ACM: Chicago, Illinois, USA. p. 127-134[8]EE Marinelli, Hyrax: Cloud Computing on Mobile Devices usingMapReduce. 2009, Carnegie Mellon University.[9]M. Black and W. Edgar. Exploring mobile devices as Grid resources:Using an x86 virtual machine to run BOINC on an iPhone. in Grid Computing, 2009 10th IEEE/ACM International Conference on. 2009. [10]Ioana Giurgiu, Oriana Riva, Dejan Juric, Ivan Krivulev, and GustavoAlonso, Calling the cloud: enabling mobile phones as interfaces to cloud applications, in Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware. 2009, Springer-Verlag New York, Inc.: Urbanna, Illinois. p. 1-20.[11]Luo Xun. From Augmented Reality to Augmented Computing: A Lookat Cloud-Mobile Convergence. in Ubiquitous Virtual Reality, 2009.ISUVR '09. International Symposium on. 2009[12]Byung-Gon Chun and Petros Maniatis, Dynamically partitioningapplications between weak devices and clouds, in Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond. 2010, ACM: San Francisco, California. p. 1-5.[13]K. Kumar and Lu Yung-Hsiang, Cloud Computing for Mobile Users:Can Offloading Computation Save Energy? Computer, 2010. 43(4):51-56[14]Byung-Gon Chun and Petros Maniatis, Augmented smartphoneapplications through clone cloud execution, in Proceedings of the 12th conference on Hot topics in operating systems (HotOS). 2009[15]Eduardo Cuervo, Aruna Balasubramanian, Dae-ki Cho, Alec Wolman,Stefan Saroiu, Ranveer Chandra, and Paramvir Bahl, MAUI: making smartphones last longer with code offload, in Proceedings of the 8th international conference on Mobile systems, applications, and services.2010, ACM: San Francisco, California, USA. p. 49-62.[16]Andreas Klein, Christian Mannweiler, Joerg Schneider, and Hans D.Schotten. Access Schemes for Mobile Cloud Computing. in Mobile Data Management (MDM), 2010 Eleventh International Conference on. 2010.[17]La Hyun Jung and Kim Soo Dong. A Conceptual Framework forProvisioning Context-aware Mobile Cloud Services. in Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference on.2010.[18]Aaron Beach, Mike Gartrell, Richard Han, and Shivakant Mishra.CAwbWeb: Towards a Standardized Programming Framework to Enable a Context-Aware Web. Technical Report CU-CS-1063-10, March 2010. [19]Patrick Stuedi, Iqbal Mohomed, and Doug Terry, WhereStore: location-based data storage for mobile devices interacting with the cloud, in Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond. 2010[20]Pelin Angin, Bharat Bhargava, and Sumi Helal. A Mobile-CloudCollaborative Traffic Lights Detector for Blind Navigation. in Mobile Data Management (MDM), 2010 Eleventh International Conference on.2010.[21]Dejan Kovachev, Dominik Renzel, Ralf Klamma, and Yiwei Cao.Mobile Community Cloud Computing: Emerges and Evolves. in Mobile Data Management (MDM), 2010 Eleventh International Conference on.2010[22]Lan Zhang, Xuan Ding, Zhiguo Wan, Ming Gu, and Xiang-Yang Li,WiFace: a secure geosocial networking system using WiFi-based multi-hop MANET, in Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond. 2010 [23]Eric Jung, Yichuan Wang, Iuri Prilepov, Frank Maker, Xin Liu, andVenkatesh Akella, User-profile-driven collaborative bandwidth sharing on mobile phones, in Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond. 2010。
在美国做博士后(PostdoctoralresearchintheUnitedStates)
在美国做博士后(Postdoctoral research in the United States)The United States is a large post doctoral scientific and technological power. Many Chinese students go to postdoctoral degrees in the United States and then do postdoctoral work from other countries to the United states. For today's Ph. D., we should be an assistant professor in American research universities or a professor or associate professor from a first-class university in China, and generally need postdoctoral experience. This paper makes some introductions from three aspects of applying for post doctorate, scientific research and career development.Post doctoral students in the United States are directly recruited by tutors. The applicants according to occupation ideal and professional interest, find the tutor information through access to papers, browse the web, research group to participate in international conferences etc., then email asking whether the vacancy, and the enclosed resume. Some tutors replied that there was no money, and some did not reply. Don't lose heart, go on casting the net". Sometimes mentor just apply to the new project, or find another job in the group makes postdoctoral tutor need to find a "substitute", then the chances will increase. If your supervisor is interested in you, you will respond positively and ask for recommendation letters.Domestic recommendation letters are not valued, but foreign countries attach great importance to it. "Reading Comprehension: Success in 20 Minutes a Day" a book to read a letter of recommendation to us: "Nicole Bryan usually completes fragment her work on time and checks it carefully. She is a competent lab technician and is familiar with several ways toevaluate test results. She has some knowledge of the latest medical research, which has been helpful. this letter of recommendation looks good, but in fact, feeble Jinli Street needle! In addition, Chinese people often use good to describe a person, but in the eyes of foreigners, good is the general, outstanding, excellent, brilliant, extraordinary is good! Therefore, applicants should carefully comb the resume, and communicate with the recommendation of their performance, advantages and ideals, in order to obtain strong recommendation.If the applicant in the United States, you can participate in the interview: to report to introduce their own research, visit the laboratory, and professors, representatives of the group interviews, and dining. Interview is a two-way process, which is not only for employers to investigate applicants, but also for applicants to visit employers. You can ask to the teacher guide style, scientific research, publications and the scope of work, wages, equipment, scientific research atmosphere and member interaction observed in laboratory, and let the crew about the city, this group, daily work, employment and experience. If you see or hear the strange behavior of grumbling, should be carefully aftertaste.There are all kinds of mentors in america. From the style guide, the "micro management" to you as a "hand tool", let you do this and that; "sit in the office to go" engaged in clerical work, seldom go to the laboratory; most tutor to the lab everyday Akira, asked whether there are new results, and hosted the group discussion. From the academic level, some tutors to "treasure map" to the doctor, a hoe down to dig into gold; some of the"production team" keep reminders, but don't know what to do to the follow-up experiment; what is more, able to perform wonders "do not understand people who command people who know, my subordinates to do the" smart "ideas, often shibeigongban. All of these should be from the side to ask, so as to avoid the pirate ship".Once you get on board, you start counting down. Even if you are in the graduate student made a lot of articles, the future employers do not know whether you are powerful, or your tutor is powerful, but good luck. Therefore, when doing postdoctoral work, you have to make achievements to prove your ability. "A PhD is Not Enough" a book that, to avoid the problem that take several years to complete, avoid editing software and build instruments such a thankless task job, and do some "short subject", "tangible results". Don't be a workaholic",And should pay attention to scientific research methods, reasonable arrangement of time.Postdoctoral research in the United States will encounter a lot of research politics. For example, a mentor postdoctoral research project in charge of American students, probation, the American students take the initiative to mentor for, become the first author of the paper. For example, you invented a series of samples, and prove that it has excellent performance, the next laboratory people fashion to ask for samples and then quickly formula, do the follow-up experiment, rob. Postdoctoral can not become "non stick pot", but should pay more attention to, and exercise communication and coordination ability.Many Chinese websites are full of negative news and unnecessary arguments, so don't indulge in it. Suggest that you can read some English education, scientific research, writing, ethics, management, psychology and inspirational books, such as "Making the Right Moves At the Helm:", "A Laboratory Navigator", "Eat That Frog", "The Ultimate! Secrets of Total Confidence", "The 7 Habits of Highly Effective People" "101 Really Important Things You, Already Know, But Keep Forgetting", not only to acquire knowledge, but also can improve the accomplishment and development potential. Going out can broaden your horizons.Mentors rarely care about post doctoral employment, and many post doctoral students are accustomed to doing experiments, surfing the Internet, eating and sleeping. Should have the courage to "safe zone", out of heart to carry out occupation development, such as training their own ability to do scientific research and writing of the report, on what subject to future after independence, to participate in academic conferences, reading about resume writing and interview book to others, understand the industry information and job experience, find the recruitment information in web pages and newspapers and magazines to prepare candidates to participate in the interview, materials, etc..Looking for jobs in the United States requires legal status. Post doctoral J-1 visa, or no quota restrictions, can apply at any time, specifically to the H-1B visa of research institutions. If you switch to other parts of the United States to do postdoctoral, or in the United States University, National Laboratory to find fixed work, you can hold a new unitto apply for your J-1 or H-1B visa, while applying for a green card. If you go to work in the industry, you need to hold a green card or quota restrictions, from April 1st each year to open the application for H-1B visa. Usually, when the visa is opened, the visa quota is used up, so many post doctors can wait to get a green card before they can go to the American industry.To the technical personnel's green card mainly has two kinds: EB-1 and EB-2 (NIW), respectively, according to the special talents have fixed job (as assistant professor) and in accordance with the "national interest waiver" standard of highly educated personnel (such as post). The former can submit both I-140 and I-485 tables at the same time. The former should submit the I-140 form, and then submit the I-485 form after the approval period, which takes several years. There are also many post doctoral applicants who did not apply for green cards, but chose returnees". However, the competition of "returned overseas" is becoming more and more fierce. A certain number of high grade papers, excellent academic potential and the development needs of disciplines are required to be introduced into the first-class universities in china.Some people regard postdoctoral as a lofty title, some people regard postdoctoral as the title of hero, and others say "work can not be found" and have to be a post doctor". In fact, post doctorate in the United States is not a road full of flowers and honors, but a choice, an experience, a reality. Although the annual income of tens of thousands of dollars, but also faced with scientific research, life, family, visa and job hunting and other aspects of pressure. If you have passion for research and career aspirations in education and research, itis very useful to be a postdoc in the United states.。
不能带手机去学校的理由 英语作文
不能带手机去学校的理由英语作文Reasons for Not Bringing Mobile Phones to SchoolIn today's digital age, mobile phones have become an indispensable part of our daily lives. However, there are several compelling reasons why students should refrain from bringing their phones to school.Firstly, mobile phones are a major distraction in the classroom. The constant buzzing of notifications and the temptation to check social media or play games can easily divert students' attention from their studies. This can significantly hinder their learning process and lead to a decline in academic performance.Secondly, mobile phones can disrupt classroom discipline. Students who are constantly on their phones may engage in inappropriate behavior, such as taking pictures or videos of their classmates without permission. This can create an environment of distrust and disrespect, which is detrimental to the learning process.Thirdly, mobile phones can be a safety hazard in school. If not used responsibly, phones can become a tool for bullying or harassment. Students may use their phones to spreadrumors, gossip, or even threats, leading to conflicts and creating an unsafe environment for all.Moreover, mobile phones can be a temptation for cheating during examinations. Students may use their phones to search for answers or communicate with others, which not only undermines the integrity of the examination system but also robs them of the opportunity to learn and grow from their mistakes.Lastly, banning mobile phones in school encourages students to focus on their studies and engage more actively with their peers and teachers. This can foster a more conducive learning environment, leading to improved academic outcomes and a more enriching educational experience.In conclusion, while mobile phones have become an integral part of our lives, bringing them to school can have several negative consequences. By refraining from using phones in school, students can focus better on their studies, maintain classroom discipline, ensure their safety, avoid cheating, and enjoy a more enriching educational experience.。
20102001河南专升本公共英语试题作文参考答案
2010年Part ⅤWriting ( 20 x 1 )Directions: For this part, you’re required to write An Application Letter. You should writeat least 120 words, and your composition should be based on the outline given in Chinese below and write your composition on the Answer Sheet.公共英语试卷第13 页(共12 页)请以北方大学刘峰的名义,给上海世博会组委会相关负责人王先生写一封申请函,申请做一名上海世博会的志愿者。
写信日期:2010 年3 月 2 日申请函内容包括:1.个人信息(年龄、性别及外语能力等)2.简要说明申请志愿者工作的理由3.联系方式Words for reference:北方大学Beifang University志愿者volunteer上海世博会the Shanghai Expo云飞专升本培训考前必看资料P92 页作文9信函格式 3 分包括缩进式和齐头式1.缩进式Date:2 nd March,2010 / March 2 nd ,2010Dear Mr.Wang,/:I am writing…Yours sincerely,Liu Feng2. 齐头式Date:2 nd March,2010 / March 2 nd ,2010Dear Mr.Wang,/:Yours sincerely,Liu FengApplication letterTo: Mr. Wang, Organization committee for Shanghai ExpoFrom: Liu Feng, Beifang UniversityDate: March 2 nd ,2010Dear Mr. Wang,I am writing to express my grate interest in the “Shanghai Expo Volunteer R ecruitment”and would like to apply as a qualified Shanghai Expo volunteer.My name is Liu Feng, and I am 22 years of age, female. As I major in English and Japanese is my second foreign language, my fluency in Mandarin ,English and Japanese guarantees that I will meet the language requirement for various volunteers positions, such as guide, interpreter, and consultant in both English and Japanese.More importantly, serving for people brings happiness to me, and I can learn more from social practice as well. I have been an enthusiastic participant in many national and internationalexchange programs, which are reflected in my attached resume.Therefore, I believe that my communication skills make me competent for the post.Should you grant me an interview, I would be most grateful.Please contact me at 133555555555Yours sincerely,Liu Feng2009年Directions: For this part, you’re required to write a composition on the“Getting to Know the Society”. You should write at least 120 words, andcomposition should be based on the outline given in Chinese below and writecomposition on the Answer Sheet.Getting to Know the Society1. 大学生了解社会的必要性;2. 了解社会的途径(大众媒体、社会实践活动等);3. 我在这方面是怎样做的。
协作移动机器人-前因和方向外文文献翻译、中英文翻译、外文翻译
Cooperative Mobile Robotics: Antecedents and DirectionsY. UNY CAOComputer Science Department, University of California, Los Angeles, CA 90024-1596ALEX S. FUKUNAGAJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109-8099ANDREW B. KAHNGComputer Science Department, University of California, Los Angeles, CA 90024-1596Editors: R.C. Arkin and G.A. BekeyAbstract. There has been increased research interest in systems composed of multiple autonomous mobile robots exhibiting cooperative behavior. Groups of mobile robots are constructed, with an aim to studying such issues as group architecture, resource conflict, origin of cooperation, learning, and geometric problems. As yet, few applications of cooperative robotics have been reported, and supporting theory is still in its formative stages. In this paper, we give a critical survey of existing works and discuss open problems in this field, emphasizing the various theoretical issues that arise in the study of cooperative robotics. We describe the intellectual heritages that have guided early research, as well as possible additions to the set of existing motivations.Keywords: cooperative robotics, swarm intelligence, distributed robotics, artificial intelligence, mobile robots, multiagent systems1. PreliminariesThere has been much recent activity toward achieving systems of multiple mobile robots engaged in collective behavior. Such systems are of interest for several reasons:•tasks may be inherently too complex (or im-possible) for a single robot to accomplish, or performance benefits can be gained from using multiple robots;•building and using several simple robots can be easier, cheaper, more flexible and more fault-tolerant than having a single powerful robot foreach separate task; and•the constructive, synthetic approach inherent in cooperative mobile robotics can possibly∗This is an expanded version of a paper which originally appeared in the proceedings of the 1995 IEEE/RSJ IROS conference. yield insights into fundamental problems in the social sciences (organization theory, economics, cognitive psychology), and life sciences (theoretical biology, animal ethology).The study of multiple-robot systems naturally extends research on single-robot systems, butis also a discipline unto itself: multiple-robot systems can accomplish tasks that no single robot can accomplish, since ultimately a single robot, no matter how capable, is spatially limited. Multiple-robot systems are also different from other distributed systems because of their implicit “real-world” environment, which is presumably more difficult to model and reason about than traditional components of distributed system environments (i.e., computers, databases, networks).The term collective behavior generically denotes any behavior of agents in a system having more than one agent. the subject of the present survey, is a subclass of collective behavior that is characterized by cooperation. Webster’s dictionary [118] defines “cooperate” as “to associate with anoth er or others for mutual, often economic, benefit”. Explicit definitions of cooperation in the robotics literature, while surprisingly sparse, include:1. “joint collaborative behavior that is directed toward some goal in which there is a common interest or reward” [22];2. “a form of interaction, usually based on communication” [108]; and3. “[joining] together for doing something that creates a progressive result such as increasing performance or saving time” [137].These definitions show the wide range of possible motivating perspectives. For example, definitions such as (1) typically lead to the study of task decomposition, task allocation, and other dis-tributed artificial intelligence (DAI) issues (e.g., learning, rationality). Definitions along the lines of (2) reflect a concern with requirements for information or other resources, and may be accompanied by studies of related issues such as correctness and fault-tolerance. Finally, definition (3) reflects a concern with quantified measures of cooperation, such as speedup in time to complete a task. Thus, in these definitions we see three fundamental seeds: the task, the mechanism of cooperation, and system performance.We define cooperative behavior as follows: Given some task specified by a designer, a multiple-robot system displays cooperative behavior if, due to some underlying mechanism (i.e., the “mechanism of cooperation”), there is an increase in the total utility of the system. Intuitively, cooperative behavior entails some type of performance gain over naive collective behavior. The mechanism of cooperation may lie in the imposition by the designer of a control or communication structure, in aspects of the task specification, in the interaction dynamics of agent behaviors, etc.In this paper, we survey the intellectual heritage and major research directions of the field of cooperative robotics. For this survey of cooperative robotics to remain tractable, we restrict our discussion to works involving mobile robots or simulations of mobile robots, where a mobile robot is taken to be an autonomous, physically independent, mobile robot. In particular, we concentrated on fundamental theoretical issues that impinge on cooperative robotics. Thus, the following related subjects were outside the scope of this work:•coordination of multiple manipulators, articulated arms, or multi-fingered hands, etc.•human-robot cooperative systems, and user-interface issues that arise with multiple-robot systems [184] [8] [124] [1].•the competitive subclass of coll ective behavior, which includes pursuit-evasion [139], [120] and one-on-one competitive games [12]. Note that a cooperative team strategy for, e.g., work on the robot soccer league recently started in Japan[87] would lie within our present scope.•emerging technologies such as nanotechnology [48] and Micro Electro-Mechanical Systems[117] that are likely to be very important to co-operative robotics are beyond the scope of this paper.Even with these restrictions, we find that over the past 8 years (1987-1995) alone, well over 200papers have been published in this field of cooperative (mobile) robotics, encompassing theories from such diverse disciplines as artificial intelligence, game theory/economics, theoretical biology, distributed computing/control, animal ethology and artificial life.We are aware of two previous works that have surveyed or taxonomized the literature. [13] is abroad, relatively succinct survey whose scope encompasses distributed autonomous robotic systems(i.e., not restricted to mobile robots). [50] focuses on several well-known “swarm” architectures (e.g., SWARM and Mataric’s Behavior-based architecture –see Section 2.1) and proposes a taxonomy to characterize these architectures. The scope and intent of our work differs significantly from these, in that (1) we extensively survey the field of co-operative mobile robotics, and (2) we provide a taxonomical organization of the literature based on problems and solutions that have arisen in the field (as opposed to a selected group of architectures). In addition, we survey much new material that has appeared since these earlier works were published.Towards a Picture of Cooperative RoboticsIn the mid-1940’s Grey Walter, along with Wiener and Shannon, studied turtle-like robots equipped wit h light and touch sensors; these simple robots exhibited “complex social behavior” in responding to each other’s movements [46]. Coordination and interactions of multiple intelligent agents have been actively studied in the field of distributed artificial intelligence (DAI) since the early 1970’s[28], but the DAI field concerned itself mainly with problems involving software agents. In the late 1980’s, the robotics research community be-came very active in cooperative robotics, beginning with projects such as CEBOT [59], SWARM[25], ACTRESS [16], GOFER [35], and the work at Brussels [151]. These early projects were done primarily in simulation, and, while the early work on CEBOT, ACTRESS and GOFER have all had physical implementations (with≤3 robots), in some sense these implementations were presented by way of proving the simulation results. Thus, several more recent works (cf. [91], [111], [131])are significant for establishing an emphasis on the actual physical implementation of cooperative robotic systems. Many of the recent cooperative robotic systems, in contrast to the earlier works, are based on a behavior-based approach (cf. [30]).Various perspectives on autonomy and on the connection between intelligence and environment are strongly associated with the behavior-based approach [31], but are not intrinsic to multiple-robot systems and thus lie beyond our present scope. Also note that a recent incarnation of CEBOT, which has been implemented on physical robots, is based on a behavior-based control architecture[34].The rapid progress of cooperative robotics since the late 1980’s has been an interplay of systems, theories and problems: to solve a given problem, systems are envisioned, simulated and built; theories of cooperation are brought from other fields; and new problems are identified (prompting further systems and theories). Since so much of this progress is recent, it is not easy to discern deep intellectual heritages from within the field. More apparent are the intellectualheritages from other fields, as well as the canonical task domains which have driven research. Three examples of the latter are:•Traffic Control. When multiple agents move within a common environment, they typically attempt to avoid collisions. Fundamentally, this may be viewed as a problem of resource conflict, which may be resolved by introducing, e.g., traffic rules, priorities, or communication architectures. From another perspective, path planning must be performed taking into con-sideration other robots and the global environment; this multiple-robot path planning is an intrinsically geometric problem in configuration space-time. Note that prioritization and communication protocols – as well as the internal modeling of other robots – all reflect possible variants of the group architecture of the robots. For example, traffic rules are commonly used to reduce planning cost for avoiding collision and deadlock in a real-world environment, such as a network of roads. (Interestingly, behavior-based approaches identify collision avoidance as one of the most basic behaviors [30], and achieving a collision-avoidance behavior is the natural solution to collision avoidance among multiple robots. However, in reported experiments that use the behavior-based approach, robots are never restricted to road networks.) •Box-Pushing/Cooperative Manipulation. Many works have addressed the box-pushing (or couch-pushing) problem, for widely varying reasons. The focus in [134] is on task allocation, fault-tolerance and (reinforcement) learning. By contrast, [45] studies two boxpushing protocols in terms of their intrinsic communication and hardware requirements, via the concept of information invariants. Cooperative manipulation of large objects is particularly interesting in that cooperation can be achieved without the robots even knowing of each others’ existence [147], [159]. Other works in the class of box-pushing/object manipulation include [175] [153] [82] [33] [91] [94] [92][114] [145] [72] [146].•Foraging. In foraging, a group of robots must pick up objects scattered in the environment; this is evocative of toxic waste cleanup, harvesting, search and rescue, etc. The foraging task is one of the canonical testbeds for cooperative robotics [32] [151] [10] [67] [102] [49] [108] [9][24]. The task is interesting because (1) it can be performed by each robot independently (i.e., the issue is whether multiple robots achieve a performance gain), and (2) as discussed in Section 3.2, the task is also interesting due to motivations related to the biological inspirations behind cooperative robot systems. There are some conceptual overlaps with the related task of materials handling in a manufacturing work-cell [47]. A wide variety of techniques have been applied, ranging from simple stigmergy (essentially random movements that result in the fortuitous collection of objects [24] to more complex algorithms in which robots form chains along which objects are passed to the goal [49].[24] defines stigmergy as “the production of a certain behaviour in agents as a consequence of the effects produced in the local environment by previous behaviour”. This is actually a form of “cooperation without communication”, which has been the stated object of several for-aging solutions since the corresponding formulations become nearly trivial if communication is used. On the other hand, that stigmergy may not satisfy our definition of cooperation given above, since there is no performance improvement over the “naive algorithm” –in this particular case, the proposed stigmergic algorithm is the naive algorithm. Again, group architecture and learning are major research themes in addressing this problem.Other interesting task domains that have received attention in the literature includemulti-robot security systems [53], landmine detection and clearance [54], robotic structural support systems (i.e., keeping structures stable in case of, say ,an earthquake) [107], map making [149], and assembly of objects using multiple robots [175].Organization of PaperWith respect to our above definition of cooperative behavior, we find that the great majority of the cooperative robotics literature centers on the mechanism of cooperation (i.e., few works study a task without also claiming some novel approach to achieving cooperation). Thus, our study has led to the synthesis of five “Research Axes” which we believe comprise the major themes of investigation to date into the underlying mechanism of cooperation.Section 2 of this paper describes these axes, which are: 2.1 Group Architecture, 2.2 Resource Conflict, 2.3 Origin of Cooperation, 2.4 Learning, and 2.5 Geometric Problems. In Section 3,we present more synthetic reviews of cooperative robotics: Section 3.1 discusses constraints arising from technological limitations; and Section 3.2discusses possible lacunae in existing work (e.g., formalisms for measuring performance of a cooperative robot system), then reviews three fields which we believe must strongly influence future work. We conclude in Section 4 with a list of key research challenges facing the field.2. Research AxesSeeking a mechanism of cooperation may be rephrased as the “cooperative behavior design problem”: Given a group of robots, an environment, and a task, how should cooperative behavior arise? In some sense, every work in cooperative robotics has addressed facets of this problem, and the major research axes of the field follow from elements of this problem. (Note that certain basic robot interactions are not task-performing interactions per se, but are rather basic primitives upon which task-performing interactions can be built, e.g., following ([39], [45] and many others) or flocking [140], [108]. It might be argued that these interactions entail “control and coordination” tasks rather than “cooperation” tasks, but o ur treatment does not make such a distinction).First, the realization of cooperative behavior must rely on some infrastructure, the group architecture. This encompasses such concepts as robot heterogeneity/homogeneity, the ability of a given robot to recognize and model other robots, and communication structure. Second, for multiple robots to inhabit a shared environment, manipulate objects in the environment, and possibly communicate with each other, a mechanism is needed to resolve resource conflicts. The third research axis, origins of cooperation, refers to how cooperative behavior is actually motivated and achieved. Here, we do not discuss instances where cooperation has been “explicitly engineered” into the robots’ behavior since this is the default approach. Instead, we are more interested in biological parallels (e.g., to social insect behavior), game-theoretic justifications for cooperation, and concepts of emergence. Because adaptability and flexibility are essential traits in a task-solving group of robots, we view learning as a fourth key to achieving cooperative behavior. One important mechanism in generating cooperation, namely,task decomposition and allocation, is not considered a research axis since (i) very few works in cooperative robotics have centered on task decomposition and allocation (with the notable exceptions of [126], [106], [134]), (ii) cooperative robot tasks (foraging, box-pushing) in the literature are simple enough that decomposition and allocation are not required in the solution, and (iii) the use of decomposition and allocation depends almost entirely on the group architectures(e.g. whether it is centralized or decentralized).Note that there is also a related, geometric problem of optimizing the allocation of tasks spatially. This has been recently studied in the context of the division of the search of a work area by multiple robots [97]. Whereas the first four axes are related to the generation of cooperative behavior, our fifth and final axis –geometric problems–covers research issues that are tied to the embed-ding of robot tasks in a two- or three-dimensional world. These issues include multi-agent path planning, moving to formation, and pattern generation.2.1. Group ArchitectureThe architecture of a computing sys tem has been defined as “the part of the system that remains unchanged unless an external agent changes it”[165]. The group architecture of a cooperative robotic system provides the infrastructure upon which collective behaviors are implemented, and determines the capabilities and limitations of the system. We now briefly discuss some of the key architectural features of a group architecture for mobile robots: centralization/decentralization, differentiation, communications, and the ability to model other agents. We then describe several representative systems that have addressed these specific problems.Centralization/Decentralization The most fundamental decision that is made when defining a group architecture is whether the system is centralized or decentralized, and if it is decentralized, whether the system is hierarchical or distributed. Centralized architectures are characterized by a single control agent. Decentralized architectures lack such an agent. There are two types of decentralized architectures: distributed architectures in which all agents are equal with respect to control, and hierarchical architectures which are locally centralized. Currently, the dominant paradigm is the decentralized approach.The behavior of decentralized systems is of-ten described using such terms as “emergence” and “self-organization.” It is widely claimed that decentralized architectures (e.g., [24], [10], [152],[108]) have several inherent advantages over centralized architectures, including fault tolerance, natural exploitation of parallelism, reliability, and scalability. However, we are not aware of any published empirical or theoretical comparison that supports these claims directly. Such a comparison would be interesting, particularly in scenarios where the team of robots is relatively small(e.g., two robots pushing a box), and it is not clear whether the scaling properties of decentralization offset the coordinative advantage of centralized systems.In practice, many systems do not conform toa strict centralized/decentralized dichotomy, e.g., many largely decentralized architectures utilize “leader” agents. We are not aware of any in-stances of systems that are completely centralized, although there are some hybrid centralized/decentralized architectures wherein there is a central planner that exerts high-levelcontrol over mostly autonomous agents [126], [106], [3], [36].Differentiation We define a group of robots to be homogeneous if the capabilities of the individual robots are identical, and heterogeneous otherwise. In general, heterogeneity introduces complexity since task allocation becomes more difficult, and agents have a greater need to model other individuals in the group. [134] has introduced the concept of task coverage, which measures the ability of a given team member to achieve a given task. This parameter is an index of the demand for cooperation: when task coverage is high, tasks can be accomplished without much cooperation, but otherwise, cooperation is necessary. Task coverage is maximal in homogeneous groups, and decreases as groups become more heterogeneous (i.e., in the limit only one agent in the group can perform any given task).The literature is currently dominated by works that assume homogeneous groups of robots. How-ever, some notable architectures can handle het-erogeneity, e.g., ACTRESS and ALLIANCE (see Section 2.1 below). In heterogeneous groups, task allocation may be determined by individual capabilities, but in homogeneous systems, agents may need to differentiate into distinct roles that are either known at design-time, or arise dynamically at run-time.Communication Structures The communication structure of a group determines the possible modes of inter-agent interaction. We characterize three major types of interactions that can be sup-ported. ([50] proposes a more detailed taxonomy of communication structures). Interaction via environmentThe simplest, most limited type of interaction occurs when the environment itself is the communication medium (in effect, a shared memory),and there is no explicit communication or interaction between agents. This modality has also been called “cooperation without communication” by some researchers. Systems that depend on this form of interaction include [67], [24], [10], [151],[159], [160], [147].Interaction via sensing Corresponding to arms-length relationships inorganization theory [75], interaction via sensing refers to local interactions that occur between agents as a result of agents sensing one another, but without explicit communication. This type of interaction requires the ability of agents to distinguish between other agents in the group and other objects in the environment, which is called “kin recognition” in some literatures [108]. Interaction via sensing is indispensable for modeling of other agents (see Section 2.1.4 below). Because of hard-ware limitations, interaction via sensing has often been emulated using radio or infrared communications. However, several recent works attempt to implement true interaction via sensing, based on vision [95], [96], [154]. Collective behaviors that can use this kind of interaction include flocking and pattern formation (keeping in formation with nearest neighbors).Interaction via communicationsThe third form of interaction involves explicit communication with other agents, by either directed or broadcast intentional messages (i.e. the recipient(s) of the message may be either known or unknown). Because architectures that enable this form of communication are similar tocommunication networks, many standard issues from the field of networks arise, including the design of network topologies and communications protocols. For ex-ample, in [168] a media access protocol (similar to that of Ethernet) is used for inter-robot communication. In [78], robots with limited communication range communicate to each other using the “hello-call” protocol, by which they establish “chains” in order to extend their effective communication ranges. [61] describes methods for communicating to many (“zillions”) robots, including a variety of schemes ranging from broadcast channels (where a message is sent to all other robots in the system) to modulated retroreflection (where a master sends out a laser signal to slaves and interprets the response by the nature of the re-flection). [174] describes and simulates a wireless SMA/CD ( Carrier Sense Multiple Access with Collision Detection ) protocol for the distributed robotic systems.There are also communication mechanisms designed specially for multiple-robot systems. For example, [171] proposes the “sign-board” as a communication mechanism for distributed robotic systems. [7] gives a communication protocol modeled after diffusion, wherein local communication similar to chemical communication mechanisms in animals is used. The communication is engineered to decay away at a preset rate. Similar communications mechanisms are studied in [102], [49], [67].Additional work on communication can be found in [185], which analyzes optimal group sizes for local communications and communication delays. In a related vein, [186], [187] analyzes optimal local communication ranges in broadcast communication.Modeling of Other Agents Modeling the intentions, beliefs, actions, capabilities, and states of other agents can lead to more effective cooperation between robots. Communications requirements can also be lowered if each agent has the capability to model other agents. Note that the modeling of other agents entails more than implicit communication via the environment or perception: modeling requires that the modeler has some representation of another agent, and that this representation can be used to make inferences about the actions of the other agent.In cooperative robotics, agent modeling has been explored most extensively in the context of manipulating a large object. Many solutions have exploited the fact that the object can serve as a common medium by which the agents can model each other.The second of two box-pushing protocols in[45] can achieve “cooperation without commun ication” since the object being manipulated also functions as a “communication channel” that is shared by the robot agents; other works capitalize on the same concept to derive distributed control laws which rely only on local measures of force, torque, orientation, or distance, i.e., no explicit communication is necessary (cf. [153] [73]).In a two-robot bar carrying task, Fukuda and Sekiyama’s agents [60] each uses a probabilistic model of the other agent. When a risk threshold is exceeded, an agent communicates with its partner to maintain coordination. In [43], [44], the theory of information invariants is used to show that extra hardware capabilities can be added in order to infer the actions of the other agent, thus reducing communication requirements. This is in contrast to [147], where the robots achieve box pushing but are not aware of each other at all. For a more com-plex task involving the placement of five desks in[154], a homogeneous group of four robots share a ceiling camera to get positional information, but do not communicate with each other. Each robot relies on modeling of otheragents to detect conflicts of paths and placements of desks, and to change plans accordingly.Representative Architectures All systems implement some group architecture. We now de-scribe several particularly well-defined representative architectures, along with works done within each of their frameworks. It is interesting to note that these architectures encompass the entire spectrum from traditional AI to highly decentralized approaches.CEBOTCEBOT (Cellular roBOTics System) is a decentralized, hierarchical architecture inspired by the cellular organization of biological entities (cf.[59] [57], [162] [161] [56]). The system is dynamically reconfigurable in tha t basic autonomous “cells” (robots), which can be physically coupled to other cells, dynamically reconfigure their structure to an “optimal” configuration in response to changing environments. In the CEBOT hierarchy there are “master cells” that coordinate subtasks and communicate with other master cells. A solution to the problem of electing these master cells was discussed in [164]. Formation of structured cellular modules from a population of initially separated cells was studied in [162]. Communications requirements have been studied extensively with respect to the CEBOT architecture, and various methods have been proposed that seek to reduce communication requirements by making individual cells more intelligent (e.g., enabling them to model the behavior of other cells). [60] studies the problem of modeling the behavior of other cells, while [85], [86] present a control method that calculates the goal of a cell based on its previous goal and on its master’s goal. [58] gives a means of estimating the amount of information exchanged be-tween cells, and [163] gives a heuristic for finding master cells for a binary communication tree. Anew behavior selection mechanism is introduced in [34], based on two matrices, the priority matrix and the interest relation matrix, with a learning algorithm used to adjust the priority matrix. Recently, a Micro Autonomous Robotic System(MARS) has been built consisting of robots of 20cubic mm and equipped with infrared communications [121].ACTRESSThe ACTRESS (ACTor-based Robot and Equipments Synthetic System) project [16], [80],[15] is inspired by the Universal Modular AC-TOR Formalism [76]. In the ACTRESS system,“robotors”, including 3 robots and 3 workstations(one as interface to human operator, one as im-age processor and one as global environment man-ager), form a heterogeneous group trying to per-form tasks such as object pushing [14] that cannot be accomplished by any of the individual robotors alone [79], [156]. Communication protocols at different abstraction levels [115] provide a means upon which “group cast” and negotiation mechanisms based on Contract Net [150] and multistage negotiation protocols are built [18]. Various is-sues are studied, such as efficient communications between robots and environment managers [17],collision avoidance [19].SWARM。
浙江省宁波市九校2023-2024学年高二下学期期末联考英语试题(含答案)
宁波九校高二期末考英语试题第一部分:听力(共两节,满分30分)做题时,先将答案标在试卷上。
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1.What can people do in Moon Bay Mall?A.Play the guitar.B. Ride skateboards.C. Shop with their pets.2.Who is the woman?A.A patient.B.A nurse.C.A doctor.3.How does the man help the woman?A.By fixing her bike at a low price.B.By calling the repair shop for her.C.By recommending a repair shop to her.4.Where will the woman go?A. The French market.B. The Canadian market.C. The Australian market.5.What does the man mean?A.He is energetic in working.B.He doesn’t like his job.C.He is tired of traveling.第二节:(共15小题;每小题1.5分,满分22.5分)听下面5段对话或独白。
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禁止带手机的英语作文
The Necessity of Banning Mobile Phones inSchoolsIn today's digital era, the ubiquity of mobile phones has become a norm in our daily lives. While they provide convenient access to information, entertainment, and communication, their presence in schools has become a contentious issue. I firmly believe that schools should ban the use of mobile phones to promote a more focused and effective learning environment.Firstly, mobile phones are a significant distraction in the classroom. Students often find it difficult to concentrate on their studies when they have their phones nearby. The constant urge to check social media, play games, or send messages can lead to a decrease in academic performance. By banning phones, schools can ensure that students are fully engaged in the learning process and maximize their potential.Secondly, mobile phones can facilitate cheating in exams. With access to the internet and various applications, students can easily search for answers or use technology to作弊. This not only undermines the integrity of the examsystem but also robs students of the opportunity to learn and grow through honest effort. By banning phones during exams, schools can maintain a fair and level playing field for all students.Moreover, mobile phones can lead to cyberbullying and other negative behaviors. Social media and messaging applications have become breeding grounds for cyberbullying, which can have devastating effects on students' mental health. By banning phones, schools can mitigate the risk of such behaviors and create a safer and more positivelearning environment.Additionally, mobile phones can interrupt classroom instruction. When a student's phone rings or vibratesduring a lecture, it not only disrupts the flow of theclass but also draws attention away from the teacher andthe subject matter. This can lead to a decrease in classroom engagement and a decrease in the overall qualityof education.However, it is important to recognize that mobile phones can also be a valuable tool for learning. They provide access to a wealth of information and resourcesthat can enhance students' understanding of subjects. Therefore, schools should consider allowing the use of phones for educational purposes, such as research or accessing online resources, while still maintaining strict rules regarding phone use during class and exams.In conclusion, while mobile phones play an important role in our lives, their presence in schools can be a significant distraction and impediment to learning. By banning the use of mobile phones in schools, we can create a more focused and effective learning environment that promotes academic excellence and personal growth. This ban should be implemented while also allowing for the educational use of phones when necessary.**禁止手机进校园的必要性**在当今数字化时代,手机的普及已成为我们日常生活的常态。
描写机器人的英语作文
Robots have become an integral part of modern technology,transforming various industries and aspects of our daily lives.Heres a detailed composition on robots, exploring their evolution,applications,and potential future developments.Introduction to RobotsRobots are machines designed to execute tasks automatically,often with the ability to interact with their environment.The concept of a robot dates back to ancient times,but it was only in the20th century that they became a reality in the form we recognize today. The term robot was first coined by Czech writer KarelČapek in his1920play R.U.R. Rossums Universal Robots,which depicted artificial beings capable of performing human tasks.Evolution of RoboticsThe evolution of robots can be traced through several key milestones.Early robots were primarily industrial,designed for repetitive tasks such as assembly line work.The first programmable robot,the Unimate,was introduced in1961and revolutionized manufacturing by automating the process of die casting and spot welding.Over time,robots have become more sophisticated,with advancements in artificial intelligence AI and machine learning allowing them to perform more complex tasks. Today,robots are capable of learning from their experiences,making decisions,and even interacting with humans in a more natural way.Applications of RobotsRobots are now used in a wide range of applications across various sectors:1.Industrial Automation:Robots continue to play a crucial role in manufacturing,where they perform tasks such as precision assembly,material handling,and quality control.2.Healthcare:In the medical field,robots assist in surgeries,deliver medication,and even help in patient rehabilitation.3.Domestic Assistance:Home robots perform tasks like cleaning,lawn mowing,and even providing companionship to the elderly.4.Space Exploration:Robots explore environments that are inhospitable to humans,such as deep space or the ocean floor.5.Disaster Response:In emergency situations,robots can enter dangerous areas to assess damage,locate survivors,and assist in rescue operations.itary:Autonomous drones and ground vehicles are used for surveillance, reconnaissance,and combat support.Technological AdvancementsThe integration of AI has been a significant factor in the advancement of robotics.Robots now have enhanced sensory capabilities,allowing them to perceive their surroundings and interact with them more effectively.They can process information,make decisions based on complex algorithms,and even exhibit a level of autonomy.Ethical ConsiderationsAs robots become more advanced,ethical considerations come to the forefront.Issues such as privacy,job displacement,and the potential for misuse of technology are important to address.Ensuring that robots are designed and used responsibly is a challenge that society must face.Future of RoboticsThe future of robotics is promising,with ongoing research and development aimed at creating more intelligent,adaptable,and interactive machines.We can expect to see robots that are capable of performing tasks with greater autonomy,learning from their environment,and even exhibiting emotional intelligence.In conclusion,robots are not just a product of science fiction but a reality that is continuously evolving and expanding.As technology progresses,the role of robots in society will only grow,offering new possibilities and challenges that we must navigate with care and foresight.。
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The application research of mobile robots and wireless sensor network in laserautomatic guided vehiclesGuoqing ZhangNational University of Defense Technology, Changsha,Hunan, China 410073Keanuzhang@Zhongming PanNational University of Defense Technology, Changsha,Hunan, China 410073Chunmingpan@Abstract—Wireless communication is applied frequently in laser automatic guided vehicle (AGV) communication system, but at present the system usually adopts the wireless static central control mode in which vehicles of AGV system are controlled and managed by a center control unit and cannot communicate with each other. An AGV wireless control system based on wireless sensor network and mobile robots control is proposed to improve the intelligence and efficiency of AGV system, with this communication system all the vehicles are connected by wireless sensor network to implement inter-vehicle communication and distributed control, this enhances the degree of autonomy and flexibility of vehicles, and improves the efficiency of AGV system.Key Word: Wireless sensor network, Mobile Robot, Automatic guided vehiclesI.INTRODUCTIONWith the development of the logistic technology, laser automatic guided vehicles (AGVs) are applied widely in many fields for its features of auto guidance, accurate positioning, optimal route and safety. In modern automatic warehouses, each laser AGV runs as a mobile robot that receives the destination address and instructions from the control center, and walks along the specific route to the destined spot to finish the assigned operations. Laser AGV are usually work under the scheduling of the upper computer system, and integrated into the complex production monitoring and management with automatic logistic software.Wireless communication technology is applied in the AGV system in the result of the mobility of AGVs. However, the most present used wireless communication systems run in a center control mode, in other words, all AGV communicate only with the upper control center, not with each other. All the data are stored and exchanged through the center computer system. This sets an even higher demand of the center control system, and limits the individual autonomy, scale and flexibility of AGVs.This paper proposes the application research of mobile robots and wireless sensor network in laser automatic guided vehicles. Wireless sensor network is the wireless communication network characterized by large scale, self-organization, and dynamic topology. Each node in the network has the ability of data processing, storing and communication. In the AGV system that establishes on wireless sensor network, each vehicle work as a node which can communicate through self-organized network, and process the data more efficiently. In turn, the intelligence of AGVs as mobile robots is enhanced.II.FUNCTIONS OF AGV NODEEach vehicle of logistic AGV system within WSN works in a wide range like a mobile and autonomous robot performing many functions. These functions are classified as below:1)Vehicle Locating Function. In some automatic indoor warehouses, the navigation mode of AGVs is free route mode, thus the routes of vehicles are not fixed, and they can be adjusted according to the real situation. This mode makes a demand that the position of each vehicle should be acquired instantaneously. At present the applied positioning method is laser reflection method. A laser emitter and placed on the top of vehicles, and Cubic Corner Reflection (CCR) route signs are distributed in the area where vehicles run. The laser emitter keeps rotating by the driving of a motor while the vehicle is moving, in each circle the photo counting circuit collects the angular information of route signs through the reflection. The software that consists of the matching, locating and optimal algorithms can determine the actual position of each vehicle. This method has the advantage of high accuracy, good flexibility and reliability.2)Vehicle Control Function. This function includes vehicle driving, speed control, break control and safety control etc, and is mostly performed by the control of motors in vehicles. When a vehicle gets an instruction, a calculated route is established, and then the vehicle should be driven properly with optimal speed to the destined spot. Additionally, the safety control such as collision avoidance and buffering is necessary, so infrared or ultrasonic detector should be equipped in vehicle nodes.3)Vehicle Communication Function. As shown in Fig. 1, the vehicles in AGV system communicate in the wireless sensor network. Each vehicle is equivalent to a node in the network, and the vehicle nodes can establish the self-organization network. The information such as the position, speed and destination is transmitted among the vehicles.4)Vehicle Sensing Function. Each vehicle collects the data from the sensors such as load cell, temperature meter or ultra-sonic sensor etc. These data are used to aid the warehouse monitoring or AGV system control. The vehicles in the system work as mobile sensors to monitor the circumstance of working area.Figure 1. The AGV communication systemA distributed control is realized on the base of the wireless sensor network. Each vehicle node can make the decision of route selecting or task assigning by its own. Then the intelligence of vehicle node of mobile robot is improved, and the stress on the control center can be relieved significantly.III. THE FRAME OF AGV SYSTEM CONTROL In order to perform all the functions mentioned above, vehicles are taken as mobile robots in the wireless sensor network. Robots are a compelling instance of those artifacts that comprise and deliver the ambient space. Modern multi-robot applications have moved away from the historical view of monolithic control systems. They are already perceived to belong to a larger, open distributed network made up of different sensors and effectors, and they extends this view by explicitly addressing the need for interoperability between robots and wireless sensor networks(WSNs).Under the circumstance of wireless sensor network, mobile robots have some new features. First, mobile robots can sense the space distributed information of the environment through WSN, so the full sensing information can be acquired. Second, the information resources are abundant, and they are distributed in each node, hence the information could overlap and be redundant. Third, while mobile robots enter the network, they are not only transmitting data through the network, but also providing the data that they sense. Fourth, mobile robots can sense the information of their own through the wireless sensor network. Fifth, nodes in WSN are scattered in performances, dynamic in distribution and related to circumstance, so the information in WSN is of space character.Therefore, vehicles in wireless sensor network, like mobile robots, have much higher intelligence and decision-making ability. They can utilize the network to exchange and share the information distributed in the entire network while they are moving in the network. However, the dynamic uncertainty of each vehicle is increasedcorrespondingly.The AGV system control frame is shown in Fig. 2. In this frame, AGV control system is the key part that connects the route sign location unit, vehicle motion control & sense unit and wireless communication system.Figure 2. The Frame of AGV Control SystemThe Route sign location unit is in charge of location of vehicle in the warehouse by the photoelectric CCR route sign measuring system. As shown in Fig. 3, several CCR route signs are fixed in the work area of AGV , and the laser sensor is placed on the top of AGV . The coordination values of CCR route signs are known, the laser sensor scans them around to acquire the azimuth angles αi . With these data, the location unit can calculate the position of AGV in the work area.Figure 3. The AGV communication systemThe vehicle motion control & sense unit is in charge of acquisition of different sensor data and control of motor. This unit is the Sensing and executing part of vehicles, it collects the data from different sensors such as sonic sensor and infrared sensor, and provides them to the upper control system; meanwhile it receives the instructions from the upper control system, and drives the motors to control the activity of vehicles.Route Sign LocationSonic SensorVehicle Motion Control & SenseAGV Control SystemOther SensorsInfrared SensorAdj. Speed MotorAGV Wireless Communication SystemControl CenterLocal SinkWireless sensor networkCCR2CCR1CCR3CCR4CCRnAGV Initial Directionαn α3 α2α1AGV wireless communication system unit is in charge of organization of wireless sensor network, routing message and transmit data. The network formed by the AGV wireless sensor node is an Ad Hoc network, which is an infrastructureless mobile network. There are no fixed routers in the network, Instead the mobile vehicle nodes themselves function as routers which discover and maintain communication connections. The flexibility of the network increases the complexity of communication protocol. Taking routing protocol as example, there are two major categories: on-demand such as AODV and DSR, and proactive such DSDV and CBRP etc.With this frame, the ability of data processing and control of vehicle nodes is enhanced and meet the requirements of flexibility, intelligence, and compactness.IV. THE EMBEDDED DESIGN OF VEHICLE NODE The Vehicles in AGV system are endowed with intelligent behavior, such as location, avoiding collision and self-organizing network, which makes the vehicle node design more complex, so an embedded design is adopted. As shown in Fig. 3, the hardware platform is built mainly upon the Philips ARM chip LPC2214 and the Jennic wireless communication chip Jn5131x. The Former is an embedded chip that based on a 16/32 bit ARM7TDMI-S CPU with real-time emulation and trace support, together with 128/25kB of embedded high speed flash memory, and the latter is one of low power, low cost wireless microcontrollers suitable for IEEE802.15.4 or ZigBee applications, the chip integrates a 32-bit RISC processor, with a fully compliant 2.4GHz IEEE802.15.4 transceiver, 192kB of ROM, a selection of RAM sizes from 8kB to 96kB, and a rich mixture of analogue and digital peripherals.Figure 4. The Embedded System Design of Vehicle NodesThe LPC2214 is in charge of several functions. First, it reads the data from the photoelectric decoder circuit which acquires the position information of the laser-reflection locating route sign. Second, it reads the data from the different sensors or controls the motors by the A/D interface. Third, it connects the wireless sensor network circuit made of Jennic5131 through SPI. The Jennic5131integrates 802.15.4 wireless communication protocol and a 32-bit RISC processor, so it is in charge of organization of WSN and transmission and reception of message.The application of vehicle node relies on three main modules as shown in Fig.4. The multi-functions and complexity of mobile communication presents a challenge to develop the software integrating locating, sensing and communication.The laser guide locating module acquires the angel data of route signs real time and perform the route sign matching algorithm, provides the position data to LPC2214 core control module. The wireless communication module is programmed based on the Jennic5131 internal integrated protocol stack, it mainly perform the network organization and management. The data transmission between the wireless communication module and LPC2214 core control module is performed by the Intelligent Peripheral (IP) in Jennic5131 and SPI in LPC2214. The IP interface is provided for systems that are more complex, where there is a MCU that requires a specific wireless peripheral. The wireless peripheral may be controlled via one of the UARTs but the IP interface is intended to provide a high-speed, low-processor-overhead interface.Figure 5. The Software Architecture of Vehicle NodeV. CONCLUSIONSThis paper presents the research on the application of wireless sensor network and mobile robots in laser automatic guided vehicle. The intelligence and flexibilityof AGVs as mobile robots is enhanced because ofLPC2214Jennic5131Photoelectric DecoderA/D to Sense and ControlFlashMotorsUltrasonic Sensor SensorInfrared SensorSPII/OM C UIEEE 802.15.4 PHY/MAC NWK LAYER Protocol Jennie APIA T-Jennie APILPC2214 Core Control ModuleIPLaser Guide Locating ModuleSPIGPIOutilization of wireless sensor network communication technology. The vehicles in the network can organize the network autonomously and share the information such as position, speed, direction, load status etc. Compared with traditional center control way, this way can take full advantage of distributed processing ability of mobile vehicle, and alleviate the load of the center server. Due to the complexity of the mobility of vehicles, the further work is to develop more optimized network control protocol and application software.R EFERENCES[1]Jun Luo,Jean-Pierre Hubaux. A Survey of Inter-VehicleCommunication. Technical Report, Switzerland: EPFL (Ecole Polytechnique Federale de Lausanne), IC (Informatique & Communications), 2004.[2]Asher H. J., Galler B.A. Collision Warning using NeighbouringVehicle Information. Intelligent Transportation: Realizing the benefit, Houston, Texas, USA, 1996.[3]Lars P. A framework for integration of processes in autonomoussystems. Stockholm, Sweden: Centre of Autonomous Systems, Royal Institute of Technology, 2002.[4]Batalin M A, Sukhatme G S. Coverage, exploration and deploymentby a mobile robot and communication network. The 2nd International Workshop on Information Processing in Sensor Network, Palo Alto Research Center (PARC), Palo Alto, 2003: 376-391.[5]Liu Zhipin, Zhai Junjie, Tao Dexin. Key Technology of AGV inAutomated Container Transportation System. Logistics Technology, Beijing, 2006.7:114-116. (In Chinese)。