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matlab 非下采样剪切波算法

matlab 非下采样剪切波算法

matlab 非下采样剪切波算法非下采样剪切波算法是一种用于信号处理和图像压缩的算法。

它可以将信号或图像分解为多个子带,从而实现对信号或图像的分析和处理。

非下采样剪切波算法的基本原理是将信号或图像分解为不同频率的子带,然后通过对这些子带进行处理来实现对信号或图像的分析和处理。

在非下采样剪切波算法中,采用的是多尺度分解的方式,即将信号或图像分解为不同尺度的子带。

非下采样剪切波算法的核心是使用剪切波函数作为基函数进行信号或图像的分解。

剪切波函数是一种具有局部化特性的函数,它可以在时域和频域中同时具有良好的局部化特性。

通过使用剪切波函数进行信号或图像的分解,可以将信号或图像的能量集中在少数的剪切波系数上,从而实现对信号或图像的高效表示和压缩。

非下采样剪切波算法的具体步骤如下:1. 将信号或图像分解为不同尺度的子带。

首先,将信号或图像进行低通滤波和高通滤波,得到低频子带和高频子带。

然后,对低频子带进行进一步的低通滤波和高通滤波,得到更低频的子带和更高频的子带。

通过重复这个过程,可以将信号或图像分解为多个不同尺度的子带。

2. 对每个尺度的子带进行剪切波变换。

对于每个尺度的子带,使用剪切波函数进行变换,得到该尺度下的剪切波系数。

剪切波变换可以通过卷积运算实现,其中剪切波函数作为卷积核。

3. 对剪切波系数进行非下采样。

由于剪切波函数是局部化的,因此剪切波系数中只有少数的非零值。

为了提高计算效率和存储效率,可以对剪切波系数进行非下采样,即只保留其中的非零值。

4. 对剪切波系数进行处理。

对于不同的应用,可以对剪切波系数进行不同的处理。

例如,可以对剪切波系数进行阈值处理,将小于某个阈值的系数置为零,从而实现信号或图像的稀疏表示和压缩。

非下采样剪切波算法在信号处理和图像压缩中具有广泛的应用。

它可以用于信号的降噪和去除干扰,图像的去噪和增强,以及图像的压缩和传输等方面。

非下采样剪切波算法通过将信号或图像分解为多个子带,并对子带进行处理,可以实现对信号或图像的高效分析和处理,从而提高信号处理和图像压缩的效果。

matlab 非下采样剪切波算法

matlab 非下采样剪切波算法

matlab 非下采样剪切波算法Matlab 非下采样剪切波算法非下采样剪切波变换(Non-Subsampled Contourlet Transform,简称NSCT)是一种用于图像处理和图像压缩的多尺度分析方法。

它在图像处理领域中得到了广泛的应用,特别是在图像增强、图像恢复和图像压缩等方面。

NSCT 是一种重构算法,它通过将图像分解成不同尺度的子带来实现多尺度分析。

与传统的小波变换相比,NSCT 不仅能够提供更多的图像细节信息,还具有更好的图像压缩性能。

其关键思想是通过非下采样滤波器组来进行图像分解,然后通过剪切波算法将图像信号转换为非下采样的低频信号和多个高频子带信号。

NSCT 算法的主要步骤包括分解、滤波、剪切和重构四个部分。

首先,将输入的图像通过非下采样滤波器组进行分解,得到低频子带和多个高频子带。

然后,对每个高频子带进行剪切,保留其中的重要信息,去除冗余和噪声。

剪切的过程可以通过将每个高频子带划分为不同的频率区域,并对每个频率区域进行截断来实现。

最后,通过逆变换将剪切后的子带进行重构,得到最终的图像。

NSCT 算法的优点在于能够提供更好的图像细节保留和更好的压缩性能。

其通过将图像分解为多个子带,并对每个子带进行剪切,可以有效地去除图像中的冗余和噪声,从而提高图像质量。

同时,NSCT 还具有较好的图像压缩性能,可以在保持图像质量的同时实现较高的压缩比。

在实际应用中,NSCT 算法可以广泛用于图像增强和图像恢复。

通过对图像进行多尺度分析和剪切,可以提高图像的细节保留和图像质量。

例如,在医学图像处理中,NSCT 可以用于提取图像中的病变区域和细节信息,从而帮助医生进行诊断和治疗。

此外,在图像压缩领域,NSCT 还可以用于实现高效的图像压缩算法,节省存储空间和传输带宽。

Matlab 非下采样剪切波算法是一种用于图像处理和图像压缩的多尺度分析方法。

通过将图像分解为多个子带,并对每个子带进行剪切,可以提高图像的细节保留和图像质量。

2016年04月急性冠脉综合征治疗新药临床研究指导原则.(英文版)

2016年04月急性冠脉综合征治疗新药临床研究指导原则.(英文版)

30 Churchill Place ● Canary Wharf ● London E14 5EU ● United Kingdom1 April 2016 1 EMA/CHMP/207892/20152 Committee for medicinal products for human use (CHMP)3 Guideline on clinical investigation of new medicinal 4products for the treatment of acute coronary syndrome 5(CPMP/EWP/570/98) 6Draft7 Draft agreed by Cardiovascular Working PartyFebruary 2016 Adopted by CHMP for release for consultation1 April 2016 Start of public consultation 27 April 2016 End of consultation (deadline for comments)31 October 2016 8 This guideline replaces 'Points to consider on the clinical investigation of new medicinal products for the 9 treatment of acute coronary syndrome (ACS) without persistent ST segment elevation' 10 (CPMP/EWP/570/98). 1112 Comments should be provided using this template . The completed comments form should be sent to CVSWPSecretariat@ema.europa.eu .13Keywords Acute coronary syndrome, STE-ACS, NSTE-ACS, guideline, CHMP1415Table of contents16Executive summary (4)171. Introduction (background) (4)182. Scope (5)193. Legal basis and relevant guidelines (5)204. Choice of efficacy criteria (endpoints) (6)214.1. All-cause mortality and CV mortality (6)224.2. New myocardial infarction (6)234.3. Revascularisation (6)244.4. Unstable angina pectoris necessitating hospitalisation (6)254.5. Stent thrombosis (6)264.6. Stroke (7)274.7. Left ventricular function and heart failure (7)284.8. Composite endpoints (7)294.9. Endpoints in fibrinolysis studies (7)305. Methods to assess efficacy (how to measure the endpoints) (8)315.1. Mortality (8)325.2. New myocardial infarction (8)335.3. Revascularisation (8)345.4. Unstable angina pectoris necessitating hospitalisation (8)355.5. Stent thrombosis (8)365.6. Ventricular function and heart failure (9)375.7. Angiographic endpoints (9)386. Selection of patients (9)396.1. Study population (9)406.1.1. STE-ACS (ST elevation acute coronary syndrome) (9)416.1.2. NSTE-ACS (Non-ST elevation acute coronary syndrome) (9)426.1.3. Unstable angina (9)436.2. Inclusion criteria for the therapeutic studies (10)446.3. Exclusion criteria for the therapeutic studies (10)456.4. Risk Stratification (10)466.5. Special populations (11)476.5.1. Older patients (11)487. Strategy and design of clinical trials (11)497.1. Clinical pharmacology (11)507.2. Therapeutic exploratory studies (12)517.2.1. Objectives (12)527.2.2. Design (12)537.3. Confirmatory Therapeutic Studies (12)547.3.1. Objectives (12)557.3.2. Background therapy (12)567.3.3. Choice of comparator (13)577.3.4. Duration of clinical studies (13)587.3.5. Analyses and subgroup analysis (13)598. Safety aspects (14)608.1. Bleedings (14)618.2. All-cause mortality (15)628.3. Thrombocytopenia (15)638.4. Rebound effect (15)648.5. Effects on laboratory variables (15)658.6. Effects on concomitant diseases (15)66References (16)6768Executive summary6970Two CHMP Guidelines have been previously developed to address clinical investigations of new71medicinal products for the treatment of acute coronary syndrome (ACS): (I) the CHMP points toconsider (PtC) on the clinical investigation of new medicinal products for the treatment of acute7273coronary syndrome without persistent ST-segment elevation (CPMP/EWP/570/98), published in 2000 74[1], and (II) the CHMP PtC on the clinical development of fibrinolytic products in the treatment of75patients with ST segment elevation myocardial infarction (CPMP/EWP/967/01), published in 2003 [2].76Since their finalisation, major developments have taken place in the definitions, diagnosis,77interventions and management of ACS, as reflected in the relevant European Society of Cardiology78(ESC) clinical practice guidelines (3, 4). Currently, an update of the above mentioned CHMP Guidelines 79is considered necessary to take these new developments into consideration based on literature review 80and experience gained with medicinal products intended for treatment during the acute phase and81beyond. The present update includes the following changes: 1) guidance addressing both ST-segment 82elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction83(NSTEMI), as well as unstable angina (UA), 2) update in their definitions, 3) risk stratification using84different scoring systems, 4) investigated endpoints, and 5) clinical developments of new medicinal85products beyond the acute stage, including agents other than antiplatelets and anticoagulants.1. Introduction (background)8687Cardiovascular diseases are currently the leading cause of death in industrialized countries and also 88expected to become so in emerging countries by 2020 [3, 4]. Among these, coronary artery disease 89(CAD) is the most prevalent manifestation and is associated with high mortality and morbidity. ACS 90has evolved as a useful operational term to refer to any constellation of clinical symptoms that are91compatible with acute myocardial ischemia. It encompasses (STEMI), NSTEMI, and UA.92ACS represents a life-threatening manifestation of atherosclerosis. It is usually precipitated by acute 93thrombosis induced by a ruptured or eroded atherosclerotic coronary plaque, with or without94concomitant vasoconstriction, causing a sudden and critical reduction in blood flow. In the complex95process of plaque disruption, inflammation was revealed as a key pathophysiological element. Non-96atherosclerotic aetiologies are rare e.g. such as arteritis and dissection.97The leading symptom of ACS is typically chest pain. Patients with acute chest pain and persistent (>20 min) ST-segment elevation have ST-elevation ACS (STE-ACS) that generally reflect an acute total9899coronary occlusion. Patients with acute chest pain but without persistent ST-segment elevation have 100rather persistent or transient ST-segment depression or T-wave inversion, flat T waves, pseudo-101normalization of T waves, or no ECG changes. At presentation, based on the measurement of102troponins, it is possible to further discriminate between the working diagnosis of non-ST-elevation ACS 103(NSTE-ACS) and unstable angina.104NSTE-ACS is more frequent than STE-ACS [5] with an annual incidence around 3 per 1000 inhabitants, 105but varying between countries [6]. Hospital mortality is higher in patients with STEMI than among 106those with NSTEMI (7% vs. 3–5%, respectively), but at 6 months the mortality rates are very similar 107in both conditions (12% and 13%, respectively) [5,7,8]. Long term follow-up shows that death rates 108were higher among patients with NSTE-ACS than with STE-ACS, with a two-fold difference at 4 years[8]. This difference in mid- and long-term evolution may be due to different patient profiles, since 109110NSTE-ACS patients tend to be older with more co-morbidities, especially diabetes and renal failure.2. Scope111112The aim of this guideline is to provide guidance when performing trials to develop medicinal products 113in the management of ACS. The primary goals of therapy for patients with ACS are to:1. Treat acute, life-threatening complications of ACS, such as serious arrhythmias, pulmonary 114115oedema, cardiogenic shock and mechanical complications of acute myocardial infarction (AMI). [9] 1162. Reduce the amount of myocardial necrosis that occurs in patients with AMI, thus preserving 117left ventricular (LV) function, preventing heart failure (HF), and limiting other cardiovascular118complications.1193. Prevent major adverse cardiac events like death, non-fatal myocardial infarction (MI), andneed for urgent revascularization.120121The focus in this Guideline concerns mainly the medical treatment of ACS (treatment goals 2 and 3). 122The choice of interventional procedures [percutaneous coronary intervention (PCI) or coronary artery 123bypass graft CABG)] falls outside the scope of this guideline.3. Legal basis and relevant guidelines124125This guideline has to be read in conjunction with the introduction and general principles and parts I 126and II of the Annex I to Directive 2001/83 as amended.127Pertinent elements outlined in current and future EU and ICH guidelines, should also be taken into 128account, especially those listed below:129•Dose-Response Information to Support Drug Registration (ICH E4; CPMP/ICH/378/95).130•Statistical Principles for Clinical Trials (ICH E9; CPMP/ICH/363/96).131•Choice of Control Group and Related Issues in Clinical Trials (ICH E10; CPMP/ICH/364/96).132•Points to consider on an Application with 1) Meta-analyses 2) One pivotal study133(CPMP/EWP/2330/99).134•Points to consider on multiplicity issues in clinical trials (CPMP/EWP/908/99).135•Investigation of subgroups in confirmatory clinical trials (EMA/CHMP/539146/2013).136•The Extent of Population Exposure to Assess Clinical Safety for Drugs (ICH E1A;137CPMP/ICH/375/95).138•Pharmacokinetic Studies in Man (3CC3A).139•Studies in Support of Special Populations: Geriatrics (ICH E7 CHMP/ICH/379/95) and related Q&A 140document (EMA/CHMP/ICH/604661/2009).141•Note for Guidance on the Investigation of Drug Interactions (CPMP/EWP/560/95).142•Reporting the Results of Population Pharmacokinetic Analyses (CHMP/EWP/185990/06).143•Reflection paper on the extrapolation of results from clinical studies conducted outside the EU to 144the EU-population (EMEA/CHMP/EWP/692702/2008).145•Draft Guideline on clinical investigation of medicinal products for the treatment of chronic heart 146failure (EMA/392958/2015 )•Guideline on clinical investigation of medicinal products for the treatment of acute heart failure147148(CPMP/EWP/2986/03 Rev. 1)4. Choice of efficacy criteria (endpoints)149150Definitions of clinical endpoints in confirmatory trials should be in line with the relevant clinical151guidelines to facilitate interpretation of the results, to allow comparisons across clinical studies and to 152extrapolate to clinical practice. Endpoints should be centrally adjudicated by a blinded committee. The 153following endpoints are relevant to the investigation of efficacy in patients with ACS.4.1. All-cause mortality and CV mortality154155As one of the goals of treatment of ACS is reduction of mortality, this is an important endpoint to156measure. There is an ongoing debate around the use of all-cause versus cardiovascular mortality in 157cardiovascular (CV) trials. All cause mortality is the most important endpoint in clinical trials for the 158estimation of the benefit-risk balance of a drug, in particular when investigating newer medicinal159products with possible safety issues. On the other hand, CV mortality is more specifically linked to the 160mode of action of CV medicinal products/intervention and is especially relevant when the earliest part 161of the follow up is assessed. The choice is also dependent on the objective of the study i.e. in non-162inferiority trials, CVmortality may be preferred while in superiority trials all cause mortality is usually 163used. In fibrinolysis studies, all cause mortality is preferred (see section 4.9).164As such, one of the two mortality endpoints should be included as a component of the primary165endpoint, with the other investigated as a key secondary endpoint.4.2. New myocardial infarction166167New onset MIis a relevant endpoint in studies of ACS and should always be investigated. The definition 168of MI has evolved through the years; at the time of drafting of this Guideline, the third universal169definition of MI is applicable [10]. Criteria of MI are the same as those used to define the index event 170(see below).4.3. Revascularisation171172Some clinical trials have included revascularization endpoints (PCI or CABG) as part of the primary 173composite with conflicting results [11, 12]. Such endpoints are considered more relevant tointerventional studies, and in the scope of this Guideline, their inclusion as a primary endpoint should 174175be clearly justified and their assessment pre-defined and systematically assessed.4.4. Unstable angina pectoris necessitating hospitalisation176177Unstable angina has been investigated in ACS clinical trials. Due to the varying definitions used, the 178associated subjectivity and the influence of local clinical practice, this endpoint is not encouraged to be 179included in the composite primary endpoint.4.5. Stent thrombosis180181Stent thrombosis (ST) is a rare event that can have fatal consequences. ST has been captured in some 182registration studies, but not consistently in the primary endpoint (PEP). The investigation of ST as part 183of the primary endpoint is not encouraged due to the uncertainty of the clinical relevance of all184captured events, except for the "definite" subcategory. Another category identified by the timing isintra-procedural stent thrombosis (IPST), which is a rare event indicating the development of occlusive 185186or non-occlusive new thrombus in or adjacent to a recently implanted stent before the PCI procedure is187completed. Some recent studies [13,14] show that these events may be of prognostic value. As such they should also be collected and presented as secondary endpoint but not included in the analysis of 188189ST.4.6. Stroke190191Stroke should be defined by a generally accepted definition [15]. Clinical studies in ACS have used192non-fatal stroke in the primary endpoint , including any types of strokes. However it is preferred to193include only ischemic strokes in the primary endpoint, as this is the true measure of efficacy;194haemorrhagic stroke should be included as a safety endpoint. An ischaemic stroke with haemorrhagic195conversion should be considered as “primary ischaemic”. The subgroup of “undefined strokes” should196be as small as possible in order to be able to properly assess the effect of the study treatment. In case 197all types of strokes are included in the primary endpoint, a sensitivity analysis including only ischemic198stroke should be submitted.4.7. Left ventricular function and heart failure199Some medicinal products such as modulators of reperfusion injury or inflammation, or gene/cell200201therapy are developed to improve myocardial function and reduce the occurrence of HF. In these202cases, measurement of myocardial function could be a relevant endpoint to investigate the mechanismof action. In phase III studies, these endpoints can be investigated as secondary endpoints to support 203204the clinical endpoints. Occurrence of HF should be considered as a clinical endpoint in phase III studies205aimed at showing benefit in long-term cardiovascular outcome. All-cause mortality and long term206follow-up are mandatory in studies with novel interventions.4.8. Composite endpoints207Due to the rather low incidence of cardiovascular events during the follow-up period after the acute 208209phase of the ACS, composite endpoints consisting of relevant components are acceptable, both as210primary and secondary endpoints. The composite of CV death, non-fatal MI and non-fatal stroke (Major211Adverse Cardiovascular Events, [MACE]) has commonly been used in registration studies, with non-212fatal strokes showing limited contribution to the results. As such, it is preferred to investigate the213composite of death and non-fatal MI in confirmatory studies; non-fatal ischaemic stroke could beincluded in the composite if justified. Sometimes different definitions of MACE are being used with214215novel therapies [16], that should be justified when used in place of MACE. The inclusion of less216objective and clinically derived outcomes in the same composite is generally not encouraged, as they217may either drive the efficacy or dilute the results. In case these endpoints are included they have to be218stringently defined, and adjudicated. Each component of the primary composite endpoint should be219analysed as secondary endpoint.220The net clinical benefit that includes both benefit and safety issues of the studied drug may be used as221a secondary endpoint to be evaluated if it contributes to the discussion on the benefit-risk balance of222the studied drug.4.9. Endpoints in fibrinolysis studies223224In fibrinolysis studies, angiographic studies using the TIMI (Thrombolysisi in Myocardial Infarction)perfusion grades as evaluation criteria are often used. However, complete recanalization cannot be 225226considered as a surrogate for survival when assessing fibrinolytic drugs, as some medicinal productsproviding higher complete recanalization rates than alteplase, failed to demonstrate additional survival 227228benefit. For this reason, all cause mortality is the most relevant endpoint or a combined endpoint as 229previously discussed (see 4.1). Secondary endpoints such as heart failure hospitalisations, left230ventricular function, ventricular arrhythmias, the need for rescue recanalization (emergent and/or231planned) should also be considered and justified.5. Methods to assess efficacy (how to measure the232endpoints)2335.1. Mortality234235Definition of CV death should be clearly defined, in line with acceptable standards [17]. It is mandatory 236to report and centrally adjudicate all mortality data where survival is an endpoint of the study.237Assessment of cardiovascular mortality will require censoring of other “types” of mortality, which may 238complicate its interpretation, in particular when non-CV deaths are in high proportion.5.2. New myocardial infarction239240The diagnostic of MI is based on the detection of a rise and/or fall of cardiac biomarker values241[preferably cardiac troponin (cTn)] with at least one value above the 99th percentile upper reference 242limit (URL). All MIs should be collected and also classified by their different sub types (i.e,243spontaneous, secondary to an ischemic imbalance, related to PCI, related to ST or CABG) [10]. This is 244particularly important considering the different prognostic values of each type of MI. For the same 245reason and to support the clinical relevance of post procedural MIs, these events should be presented 246with higher cut-off values (≥ 5 and ≥10x upper level of normal ULN, in case of CK-MB or ≥70x ULN of 247cTn) [18]. These higher cut-off values can also help in diagnosing MIs in the setting of elevated248baseline biomarkers, which is a problematic situation. In such cases, serial measurements of the249biomarkers are necessary, in addition to new ECG changes or signs of worsening of cardiac function, 250e.g. HFor hypotension [18].5.3. Revascularisation251252The underlying cause of revascularization should be identified: restenosis, ST or disease progression. 253In the latter case target vessel revascularization (TVR) could be included. Early target lesion eventsafter revascularization (before 30 days) are more likely to be caused by an angiographic complication 254255and should preferably be included as safety endpoint (see ST).5.4. Unstable angina pectoris necessitating hospitalisation256257When investigated, robust definitions should be employed. In order to support the seriousness of the 258event it should also be shown that it has led to a revascularisation procedure. Since a medicinalproduct that prevents death and/or new MI might result in more patients suffering from UA, the259260analysis of this endpoint should take into account censoring issues as well.5.5. Stent thrombosis261262ST should be collected and classified as definite, probable and possible in line with acceptable263definitions [19]. In addition, the timing of ST should be documented (acute, sub-acute, late and very 264late), as risk factors and clinical sequels differ with timing.5.6. Ventricular function and heart failure265266Investigation of cardiac function should follow state of the art methods. This can include among others 267measurement of ventricular function by isotopic method and/or by cardiac magnetic resonance imaging 268and/or echocardiography. Investigation of HFshould follow the relevant CHMP guidelines.5.7. Angiographic endpoints269270Angiograms should undergo central blinded reading. In principle, the rate of TIMI 3 flow (complete 271revascularization) of the infarct related artery at 90 minutes is considered the most relevant272angiographic endpoint, as it has been shown to correlate with an improved outcome in terms of273mortality and left ventricular function. An earlier evaluation of the patency pattern (i.e. 30 and 60274minutes) may provide important information on the speed of recanalization. Whatever is the time-point 275selected as primary outcome, it must be properly justified and pre-specified in the clinical trial.6. Selection of patients2766.1. Study population277The definition of the different ACS subtypes should be based on current guidelines/universal definition 278279of MI including STEMI and NSTEMI as well as UA [3, 4, 10].6.1.1. STE-ACS (ST elevation acute coronary syndrome)280281In patients with acute chest pain and persistent (>20 min) ST-segment elevation on ECG the282diagnostic of STE-ACS is made [3]. This condition generally reflects an acute total coronary occlusion.Most patients will ultimately develop an ST-elevation myocardial infarction (STEMI) with the criteria of 283284acute myocardial infarction described before [see 5.2].6.1.2. NSTE-ACS (Non-ST elevation acute coronary syndrome)285286In patients with acute chest pain but no persistent ST-segment elevation the diagnostic of NSTE-ACS is 287made [4]. ECG changes may include transient ST-segment elevation, persistent or transient ST-288segment depression, T-wave inversion, flat T waves or pseudo-normalization of T waves or the ECG 289may be normal. The clinical spectrum of non-ST-elevation ACS (NSTE-ACS) may range from patients 290free of symptoms at presentation to individuals with ongoing ischaemia, electrical or haemodynamic 291instability or cardiac arrest. The pathological correlate at the myocardial level is cardiomyocyte292necrosis (NSTEMI) or, less frequently, myocardial ischaemia without cell loss (UA). Currently, cardiac 293troponins play a central role in establishing a diagnosis and stratifying risk, and make it possible to 294distinguish between NSTEMI and UA[4].6.1.3. Unstable angina295296Unstable angina (UA) is defined as myocardial ischemia at rest or minimal exertion in the absence of 297cardiomyocytes necrosis, i.e. without troponin elevation. Among NSTE-ACS population, the higher298sensitivity of troponin has resulted in an increase in the detection of MI [4]; the diagnosis of UAis less 299frequently made.6.2. Inclusion criteria for the therapeutic studies300301Inclusion of both STEMI and NSTEMI and/or NSTE-ACS patients in the same clinical trial (or not)302should be justified based on the mechanism of action of the investigated product and the proposed 303time of intervention. If both subgroups are investigated in the same trial, both subgroups should be 304well represented. For interventions aimed at post-acute and longer term phases (secondary305prevention or plaque stabilisation) it may be justified to address both conditions in the same clinical 306trial. Time of inclusion of the patients in relation to the index event should be set and adequately307discussed a priori.308Patients with unstable angina represent a different risk category and prognosis that necessitates309different interventions than NSTEMI patients. However, during the acute presentation of NSTE-ACS it may be difficult to discriminate NSTEMI from UA so both groups have been included in some clinical 310311studies. In general, the investigation of interventions in these patients is encouraged, but preferably in 312separate clinical trials.If fibrinolysis is considered, inclusion criteria should be in line with the current treatment guidelines 313314concerning the inclusion for fibrinolysis [3].6.3. Exclusion criteria for the therapeutic studies315316If the patients do not fulfil the above criteria for ACS they should be excluded from the ACS studies. 317Other life-threatening conditions presenting with chest pain, such as dissecting aneurysm,318myopericarditis or pulmonary embolism may also result in elevated troponins and should always be 319considered as differential diagnoses [4].320If drugs interfering with the haemostatic system are tested, patients with a significant risk of bleeding 321(e.g. recent stroke, recent bleeding, major trauma or surgical intervention) and/or a propensity to 322bleed (e.g. thrombocytopenia, clotting disturbances, intracranial vascular diseases, peptic ulcers,323haemophilia) should be excluded from participation in the clinical studies.324Attention should be paid to the time elapsed between a previous application of antiplatelet or325anticoagulant acting agent beforehand and the administration of study drug (e.g. the pharmacokinetic 326[PK] and even more importantly, the pharmacodynamic [PD] half-life of these previously administered 327drugs).328For reasons of generalisability of the study results to the future target population it is strongly advised 329not to define the exclusion criteria too narrow, i.e. polymorbid patients (e.g. renal and/or hepatic330impairment, heart failure), should not automatically be excluded from the main therapeutic clinical 331trials.332When fibrinolysis is considered, exclusion criteria for fibrinolysis should be strictly respected [3].6.4. Risk Stratification333334In clinical trials, the ability of the therapy to demonstrate a treatment effect may depend on the335underlying risk and expected event rates. Enrichment strategies are sometimes used in trials to obtain 336the required number of events with a reasonable time in specific subgroups who are likely to exhibit a 337higher event rate than the overall target population and potentially larger treatment effect. In thatcase, it has to be shown that the results of this enriched study population can be extrapolated to the 338339general population.。

非极大值一致 nms的工作流程

非极大值一致 nms的工作流程

非极大值一致 nms的工作流程下载提示:该文档是本店铺精心编制而成的,希望大家下载后,能够帮助大家解决实际问题。

文档下载后可定制修改,请根据实际需要进行调整和使用,谢谢!本店铺为大家提供各种类型的实用资料,如教育随笔、日记赏析、句子摘抄、古诗大全、经典美文、话题作文、工作总结、词语解析、文案摘录、其他资料等等,想了解不同资料格式和写法,敬请关注!Download tips: This document is carefully compiled by this editor. I hope that after you download it, it can help you solve practical problems. The document can be customized and modified after downloading, please adjust and use it according to actual needs, thank you! In addition, this shop provides you with various types of practical materials, such as educational essays, diary appreciation, sentence excerpts, ancient poems, classic articles, topic composition, work summary, word parsing, copy excerpts, other materials and so on, want to know different data formats and writing methods, please pay attention!非极大值抑制(NMS)的工作流程在计算机视觉领域,非极大值抑制(NMS)是一种常用的技术,用于处理目标检测算法输出中的重叠框。

利用非抽样Contourlet变换的抗旋转攻击水印算法

利用非抽样Contourlet变换的抗旋转攻击水印算法
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改进的非数据辅助前向反馈符号定时恢复算法

改进的非数据辅助前向反馈符号定时恢复算法
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中心差分格式 隐式 -回复

中心差分格式 隐式 -回复

中心差分格式隐式-回复中心差分格式(Central Difference Scheme)是数值分析中一种常用的差分格式,常用于求解偏微分方程的数值解。

该格式的特点是在时间和空间上都采用中心差分的方式,能够提供较高的数值稳定性和精度。

在本文中,将详细介绍中心差分格式的基本原理、求解步骤以及应用范围。

中心差分格式的基本原理是利用有限差分法来近似求解偏微分方程。

偏微分方程通常描述了物理系统的变化过程,通过将连续的问题离散化为离散的数值问题,可以方便地使用计算机进行求解。

为了理解中心差分格式的原理,我们首先需要了解差分近似。

通过将时间和空间上的连续变量离散化,得到一系列有限的格点。

偏导数可以通过求取两个相邻格点之间的差商来近似计算。

在求解偏微分方程时,中心差分格式使用了中心差分来近似偏导数。

对于空间上的差分,中心差分将函数在当前格点和相邻格点上的函数值取平均,得到了近似的一阶导数。

对于时间上的差分,中心差分则利用了当前时刻和前一时刻的函数值来近似计算。

这种方式可以提供更高的数值稳定性,因为它能够考虑到当前时刻的变化以及前一时刻的信息。

中心差分格式的隐式形式是指使用未知量的未来值来近似计算当前值。

这样的形式可以提供更高的数值稳定性,但却需要通过一种迭代算法来求解。

下面我们将详细说明中心差分格式的求解步骤:1. 确定求解区域以及网格格点数量。

根据具体问题的要求,确定网格的大小和分布。

2. 初始化边界条件和初始条件。

根据实际情况,设置边界条件和初始条件。

3. 迭代求解。

通过迭代算法逐步更新未知量的值,直到达到收敛条件。

a) 在时间上进行迭代。

对于每个时间步长,更新时间点上未知量的值。

这里使用中心差分来近似计算。

b) 在空间上进行迭代。

对于每个空间点,更新其值。

这里同样使用中心差分来近似计算。

这个过程可以通过构建一个线性方程组来实现。

c) 判断是否达到收敛条件。

通常可以通过比较当前迭代结果和上一次迭代结果之间的差异来进行判断。

operation would result in non-manifold bodies

operation would result in non-manifold bodies

operation would result in non-manifold bodies在计算机图形学和几何建模领域,非流形体是指在三维空间中形状的一种特殊类型。

一个非流形体具有一个或多个不符合流形特性的区域。

流形是指一个无边界、表面光滑、内部无孔洞的物体,而非流形体则违反了这些性质。

非流形体在计算机图形学中经常出现,因为在建模和形状编辑过程中,一些操作可能会导致这种类型的物体。

下面是一些可能导致非流形体的操作:1. 重叠面:当一个物体的两个面共享相同的边或边集时,就会出现重叠面。

这可能是由于复制、移动或变形等操作导致的,会导致一个或多个非流形体形成。

2. 孔洞:一个非流形体可能有一个或多个孔洞,即在物体内部形成的空心区域。

这可能是由于布尔运算(如取交集、取并集)或其他形状编辑操作导致的。

3. 自交:自交是指一个物体的某个部分与其它部分相交。

这可能是由于旋转、拉伸、挤压等操作导致的,会导致非流形体的产生。

4. 嵌塞:嵌塞是指一个物体的某个部分被另一个物体或其自身部分所包围。

这可能是由于复制、移动、布尔运算等操作导致的。

5. 物体边界:非流形体的边界可能会有额外的不连续部分,即在其中一个顶点出现了一个无界的半边。

这种情况可以由于顶点的合并、分裂、删除等操作引起。

非流形体的存在可能会影响后续的计算和渲染过程。

例如,非流形体在进行体现场计算(CSG)和有限元分析时可能会导致错误的结果。

此外,在图形渲染过程中,非流形体可能会导致阴影、光照、纹理映射等效果的不准确或意外变化。

为了处理非流形体,通常需要进行修复操作,将其转换为流形体。

修复非流形体的方法有很多,一些常用的方法包括:1. 网格替代:通过重新生成一个流形网格替代非流形网格。

这可能涉及到重建表面或拓扑结构,以确保生成的网格符合流形特性。

2. 清理操作:通过一系列操作,例如顶点合并、边合并、面合并等,来清理非流形体中的不连续和重叠部分。

3. 网格修剪:通过删除非流形体中的不规则部分或孔洞,使其成为一个流形体。

关联规则partition算法

关联规则partition算法

关联规则partition算法一、概述关联规则是数据挖掘中的一种重要技术,它可以从大量的数据中挖掘出有用的信息,帮助企业做出决策。

而关联规则中的partition算法是一种常用的频繁项集挖掘算法,它能够高效地处理大规模数据集。

本文将详细介绍关联规则partition算法的原理、流程和实现方法,希望能够对读者有所帮助。

二、相关概念解释1. 关联规则关联规则是指在一个数据集中,两个或多个项之间存在着频繁出现的联系。

例如,在超市购物时,如果顾客购买了牛奶和面包,则很可能也会购买黄油。

因此,牛奶和面包与黄油之间就存在着关联规则。

2. 频繁项集频繁项集是指在一个数据集中经常同时出现的一组项。

例如,在超市购物时,如果某些商品组合经常被顾客购买,则这些商品就构成了一个频繁项集。

3. 支持度和置信度支持度是指一个频繁项集在整个数据集中出现的次数占比。

置信度是指当一个频繁项集出现时,另一个项也同时出现的概率。

三、partition算法原理1. 概述partition算法是一种基于数据分区的频繁项集挖掘算法。

它将数据集划分成若干个不相交的子集,然后在每个子集中进行频繁项集挖掘,最后将所有子集中的频繁项集合并得到全局频繁项集。

2. 算法流程(1)将数据集分为若干个不相交的子集;(2)在每个子集中进行频繁项集挖掘,得到局部频繁项集;(3)将所有子集中的局部频繁项集合并得到全局频繁项集。

3. 实现方法(1)数据分区:可以采用随机划分、轮换划分等方式将数据划分为若干个不相交的子集。

(2)局部频繁项集挖掘:可以采用Apriori算法等经典算法进行挖掘。

(3)全局频繁项集合并:可以采用多种方式进行合并,例如简单合并、位图压缩等。

四、实例演示以下是一个简单的关联规则partition算法实例:假设有如下购物清单:{牛奶,面包,黄油}{面包,黄油}{牛奶,面包,可乐}{牛奶,黄油}{面包,可乐}{可乐}将数据集划分为两个子集:S1:{牛奶,面包,黄油} {面包,黄油} {牛奶,面包,可乐}S2:{牛奶,黄油} {面包,可乐} {可乐}在每个子集中进行频繁项集挖掘:S1中的频繁项集为:{面包}、{黄油}、{牛奶, 面包}、{面包, 黄油}S2中的频繁项集为:{牛奶}、{黄油}、{可乐}将所有子集中的局部频繁项集合并得到全局频繁项集:全局频繁项集为:{面包}、{黄油}、{牛奶, 面包}、{面包, 黄油}、{牛奶}、{可乐}五、总结关联规则partition算法是一种高效的频繁项集挖掘算法。

纹理物体缺陷的视觉检测算法研究--优秀毕业论文

纹理物体缺陷的视觉检测算法研究--优秀毕业论文

摘 要
在竞争激烈的工业自动化生产过程中,机器视觉对产品质量的把关起着举足 轻重的作用,机器视觉在缺陷检测技术方面的应用也逐渐普遍起来。与常规的检 测技术相比,自动化的视觉检测系统更加经济、快捷、高效与 安全。纹理物体在 工业生产中广泛存在,像用于半导体装配和封装底板和发光二极管,现代 化电子 系统中的印制电路板,以及纺织行业中的布匹和织物等都可认为是含有纹理特征 的物体。本论文主要致力于纹理物体的缺陷检测技术研究,为纹理物体的自动化 检测提供高效而可靠的检测算法。 纹理是描述图像内容的重要特征,纹理分析也已经被成功的应用与纹理分割 和纹理分类当中。本研究提出了一种基于纹理分析技术和参考比较方式的缺陷检 测算法。这种算法能容忍物体变形引起的图像配准误差,对纹理的影响也具有鲁 棒性。本算法旨在为检测出的缺陷区域提供丰富而重要的物理意义,如缺陷区域 的大小、形状、亮度对比度及空间分布等。同时,在参考图像可行的情况下,本 算法可用于同质纹理物体和非同质纹理物体的检测,对非纹理物体 的检测也可取 得不错的效果。 在整个检测过程中,我们采用了可调控金字塔的纹理分析和重构技术。与传 统的小波纹理分析技术不同,我们在小波域中加入处理物体变形和纹理影响的容 忍度控制算法,来实现容忍物体变形和对纹理影响鲁棒的目的。最后可调控金字 塔的重构保证了缺陷区域物理意义恢复的准确性。实验阶段,我们检测了一系列 具有实际应用价值的图像。实验结果表明 本文提出的纹理物体缺陷检测算法具有 高效性和易于实现性。 关键字: 缺陷检测;纹理;物体变形;可调控金字塔;重构
Keywords: defect detection, texture, object distortion, steerable pyramid, reconstruction
II

XPSPEAK 说明书

XPSPEAK 说明书

Using XPSPEAK Version 4.1 November 2000Contents Page Number XPS Peak Fitting Program for WIN95/98 XPSPEAK Version 4.1 (1)Program Installation (1)Introduction (1)First Version (1)Version 2.0 (1)Version 3.0 (1)Version 3.1 (2)Version 4.0 (2)Version 4.1 (2)Future Versions (2)General Information (from R. Kwok) (3)Using XPS Peak (3)Overview of Processing (3)Appearance (4)Opening Files (4)Opening a Kratos (*.des) text file (4)Opening Multiple Kratos (*.des) text files (5)Saving Files (6)Region Parameters (6)Loading Region Parameters (6)Saving Parameters (6)Available Backgrounds (6)Averaging (7)Shirley + Linear Background (7)Tougaard (8)Adding/Adjusting the Background (8)Adding/Adjusting Peaks (9)Peak Types: p, d and f (10)Peak Constraints (11)Peak Parameters (11)Peak Function (12)Region Shift (13)Optimisation (14)Print/Export (15)Export (15)Program Options (15)Compatibility (16)File I/O (16)Limitations (17)Cautions for Peak Fitting (17)Sample Files: (17)gaas.xps (17)Cu2p_bg.xps (18)Kratos.des (18)ASCII.prn (18)Other Files (18)XPS Peak Fitting Program for WIN95/98 XPSPEAKVersion 4.1Program InstallationXPS Peak is freeware. Please ask RCSMS lab staff for a copy of the zipped 3.3MB file, if you would like your own copyUnzip the XPSPEA4.ZIP file and run Setup.exe in Win 95 or Win 98.Note: I haven’t successfully installed XPSPEAK on Win 95 machines unless they have been running Windows 95c – CMH.IntroductionRaymond Kwok, the author of XPSPEAK had spent >1000 hours on XPS peak fitting when he was a graduate student. During that time, he dreamed of many features in the XPS peak fitting software that could help obtain more information from the XPS peaks and reduce processing time.Most of the information in this users guide has come directly from the readme.doc file, automatically installed with XPSPEAK4.1First VersionIn 1994, Dr Kwok wrote a program that converted the Kratos XPS spectral files to ASCII data. Once this program was finished, he found that the program could be easily converted to a peak fitting program. Then he added the dreamed features into the program, e.g.∙ A better way to locate a point at a noise baseline for the Shirley background calculations∙Combine the two peaks of 2p3/2 and 2p1/2∙Fit different XPS regions at the same timeVersion 2.0After the first version and Version 2.0, many people emailed Dr Kwok and gave additional suggestions. He also found other features that could be put into the program.Version 3.0The major change in Version 3.0 is the addition of Newton’s Method for optimisation∙Newton’s method can greatly reduce the optimisation time for multiple region peak fitting.Version 3.11. Removed all the run-time errors that were reported2. A Shirley + Linear background was added3. The Export to Clipboard function was added as requested by a user∙Some other minor graphical features were addedVersion 4.0Added:1. The asymmetrical peak function. See note below2. Three additional file formats for importing data∙ A few minor adjustmentsThe addition of the Asymmetrical Peak Function required the peak function to be changed from the Gaussian-Lorentzian product function to the Gaussian-Lorentzian sum function. Calculation of the asymmetrical function using the Gaussian-Lorentzian product function was too difficult to implement. The software of some instruments uses the sum function, while others use the product function, so both functions are available in XPSPEAK.See Peak Function, (Page 12) for details of how to set this up.Note:If the selection is the sum function, when the user opens a *.xps file that was optimised using the Gaussian-Lorentzian product function, you have to re-optimise the spectra using the Gaussian-Lorentzian sum function with a different %Gaussian-Lorentzian value.Version 4.1Version 4.1 has only two changes.1. In version 4.0, the printed characters were inverted, a problem that wasdue to Visual Basic. After about half year, a patch was received from Microsoft, and the problem was solved by simply recompiling the program2. The import of multiple region VAMAS file format was addedFuture VersionsThe author believes the program has some weakness in the background subtraction routines. Extensive literature examination will be required in order to revise them. Dr Kwok intends to do that for the next version.General Information (from R. Kwok)This version of the program was written in Visual Basic 6.0 and uses 32 bit processes. This is freeware. You may ask for the source program if you really want to. I hope this program will be useful for people without modern XPS software. I also hope that the new features in this program can be adopted by the XPS manufacturers in the later versions of their software.If you have any questions/suggestions, please send an email to me.Raymund W.M. KwokDepartment of ChemistryThe Chinese University of Hong KongShatin, Hong KongTel: (852)-2609-6261Fax:(852)-2603-5057email: rmkwok@.hkI would like to thank the comments and suggestions from many people. For the completion of Version 4.0, I would like to think Dr. Bernard J. Flinn for the routine of reading Leybold ascii format, Prof. Igor Bello and Kelvin Dickinson for providing me the VAMAS files VG systems, and my graduate students for testing the program. I hope I will add other features into the program in the near future.R Kwok.Using XPS PeakOverview of Processing1. Open Required Files∙See Opening Files (Page 4)2. Make sure background is there/suitable∙See Adding/Adjusting the Background, (Page 8)3. Add/adjust peaks as necessary∙See Adding/Adjusting Peaks, (Page 9), and Peak Parameters, (Page 11)4. Save file∙See Saving Files, (Page 6)5. Export if necessary∙See Print/Export, (Page 15)AppearanceXPSPEAK opens with two windows, one above the other, which look like this:∙The top window opens and displays the active scan, adds or adjusts a background, adds peaks, and loads and saves parameters.∙The lower window allows peak processing and re-opening and saving dataOpening FilesOpening a Kratos (*.des) text file1. Make sure your data files have been converted to text files. See the backof the Vision Software manual for details of how to do this. Remember, from the original experiment files, each region of each file will now be a separate file.2. From the Data menu of the upper window, choose Import (Kratos)∙Choose directory∙Double click on the file of interest∙The spectra open with all previous processing INCLUDEDOpening Multiple Kratos (*.des) text files∙You can open up a maximum of 10 files together.1. Open the first file as above∙Opens in the first region (1)2. In the XPS Peak Processing (lower) window, left click on 2(secondregion), which makes this region active3. Open the second file as in Step2, Opening a Kratos (*.des) text file,(Page 4)∙Opens in the second region (2)∙You can only have one description for all the files that are open. Edit with a click in the Description box4. Open further files by clicking on the next available region number thenfollowing the above step.∙You can only have one description for all the files that are open. Edit with a click in the Description boxDescriptionBox 2∙To open a file that has already been processed and saved using XPSPEAK, click on the Open XPS button in the lower window. Choose directory and file as normal∙The program can store all the peak information into a *.XPS file for later use. See below.Saving Files1. To save a file click on the Save XPS button in the lower window2. Choose Directory3. Type in a suitable file name4. Click OK∙Everything that is open will be saved in this file∙The program can also store/read the peak parameter files (*.RPA)so that you do not need to re-type all the parameters again for a similar spectrum.Region ParametersRegion Parameters are the boundaries or limits you have used to set up the background and peaks for your files. These values can be saved as a file of the type *.rpa.Note that these Region Parameters are completely different from the mathematical parameters described in Peak Parameters, (Page 11) Loading Region Parameters1. From the Parameters menu in the upper window, click on Load RegionParameters2. Choose directory and file name3. Click on Open buttonSaving Parameters1. From the Parameters menu in the XPS Peak Fit (Upper) window, clickon Save Region Parameters2. Choose directory and file name3. Click on the Save buttonAvailable BackgroundsThis program provides the background choices of∙Shirley∙Linear∙TougaardAveraging∙ Averaging at the end points of the background can reduce the time tofind a point at the middle of a noisy baseline∙ The program includes the choices of None (1 point), 3, 5, 7, and 9point average∙ This will average the intensities around the binding energy youselect.Shirley + Linear Background1. The Shirley + Linear background has been added for slopingbackgrounds∙ The "Shirley + Linear" background is the Shirley background plus astraight line with starting point at the low BE end-point and with a slope value∙ If the slope value is zero , the original Shirley calculation is used∙ If the slope value is positive , the straight line has higher values atthe high BE side, which can be used for spectra with higher background intensities at the high BE side∙ Similarly, a negative slope value can be used for a spectrum withlower background intensities at the high BE side2. The Optimization button may be used when the Shirley background is higher at some point than the signal intensities∙ The program will increase the slope value until the Shirleybackground is below the signal intensities∙ Please see the example below - Cu2p_bg.xps - which showsbackground subtraction using the Shirley method (This spectrum was sent to Dr Kwok by Dr. Roland Schlesinger).∙ A shows the problematic background when the Shirley backgroundis higher than the signal intensities. In the Shirley calculation routine, some negative values were generated and resulted in a non-monotonic increase background∙ B shows a "Shirley + Linear" background. The slope value was inputby trial-and-error until the background was lower than the signal intensities∙ C was obtained using the optimisation routineA slope = 0B slope = 11C slope = 15.17Note: The background subtraction calculation cannot completely remove the background signals. For quantitative studies, the best procedure is "consistency". See Future Versions, (Page 2).TougaardFor a Tougaard background, the program can optimise the B1 parameter by minimising the "square of the difference" of the intensities of ten data points in the high binding energy side of the range with the intensities of the calculated background.Adding/Adjusting the BackgroundNote: The Background MUST be correct before Peaks can be added. As with all backgrounds, the range needs to include as much of your peak as possible and as little of anything else as possible.1. Make sure the file of interest is open and the appropriate region is active2. Click on Background in the upper window∙The Region 0 box comes up, which contains the information about the background3. Adjust the following as necessary. See Note.∙High BE (This value needs to be within the range of your data) ∙Low BE (This value needs to be within the range of your data) NOTE: High and Low BE are not automatically within the range of your data. CHECK CAREFULLY THAT BOTH ENDS OF THE BACKGROUND ARE INSIDE THE EDGE OF YOUR DATA. Nothing will happen otherwise.∙No. of Ave. Pts at end-points. See Averaging, (Page 7)∙Background Type∙Note for Shirley + Linear:To perform the Shirley + Linear Optimisation routine:a) Have the file of interest openb) From the upper window, click on Backgroundc) In the resulting box, change or optimise the Shirley + LinearSlope as desired∙Using Optimize in the Shirley + Linear window can cause problems. Adjust manually if necessary3. Click on Accept when satisfiedAdding/Adjusting PeaksNote: The Background MUST be correct before peaks can be added. Nothing will happen otherwise. See previous section.∙To add a peak, from the Region Window, click on Add Peak ∙The peak window appears∙This may be adjusted as below using the Peak Window which will have opened automaticallyIn the XPS Peak Processing (lower) window, there will be a list of Regions, which are all the open files, and beside each of these will be numbers representing the synthetic peaks included in that region.Regions(files)SyntheticPeaks1. Click on a region number to activate that region∙The active region will be displayed in the upper window2. Click on a peak number to start adjusting the parameters for that peak.∙The Processing window for that peak will open3. Click off Fix to adjust the following using the maximum/minimum arrowkeys provided:∙Peak Type. (i.e. orbital – s, p, d, f)∙S.O.S (Δ eV between the two halves of the peak)∙Position∙FWHM∙Area∙%Lorenzian-Gaussian∙See the notes for explanations of how Asymmetry works.4. Click on Accept when satisfiedPeak Types: p, d and f.1. Each of these peaks combines the two splitting peaks2. The FWHM is the same for both the splitting peaks, e.g. a p-type peakwith FWHM=0.7eV is the combination of a p3/2 with FWHM at 0.7eV anda p1/2 with FWHM at 0.7eV, and with an area ratio of 2 to 13. If the theoretical area ratio is not true for the split peaks, the old way ofsetting two s-type peaks and adding the constraints should be used.∙The S.O.S. stands for spin orbital splitting.Note: The FWHM of the p, d or f peaks are the FWHM of the p3/2,d5/2 or f7/2, respectively. The FWHM of the combined peaks (e.g. combination of p3/2and p1/2) is shown in the actual FWHM in the Peak Parameter Window.Peak Constraints1. Each parameter can be referenced to the same type of parameter inother peaks. For example, for four peaks (Peak #0, 1, 2 and 3) with known relative peak positions (0.5eV between adjacent peaks), the following can be used∙Position: Peak 1 = Peak 0 + 0.5eV∙Position: Peak 2 = Peak 1 + 0.5eV∙Position: Peak 3 = Peak 2 + 0.5eV2. You may reference to any peak except with looped references.3. The optimisation of the %GL value is allowed in this program.∙ A suggestion to use this feature is to find a nice peak for a certain setting of your instrument and optimise the %GL for this peak.∙Fix the %GL in the later peak fitting process when the same instrument settings were used.4. This version also includes the setting of the upper and lower bounds foreach parameter.Peak ParametersThis program uses the following asymmetric Gaussian-Lorentzian sumThe program also uses the following symmetrical Gaussian-Lorentzian product functionPeak FunctionNote:If the selection is the sum function, when the user opens a *.xps file that was optimised using the Gaussian-Lorentzian product function, you have to re-optimise the spectra using the Gaussian-Lorentzian sum function with a different %Gaussian-Lorentzian value.∙You can choose the function type you want1. From the lower window, click on the Options button∙The peak parameters box comes up∙Select GL sum for the Gaussian-Lorentzian sum function∙Select GL product for the Gaussian-Lorentzian product function. 2. For the Gaussian-Lorentzian sum function, each peak can have sixparameters∙Peak Position∙Area∙FWHM∙%Gaussian-Lorentzian∙TS∙TLIf anyone knows what TS or TL might be, please let me know. Thanks, CMH3. Each peak in the Gaussian-Lorentzian product function can have fourparameters∙Peak Position∙Area∙FWHM∙%Gaussian-LorentzianSince peak area relates to the atomic concentration directly, we use it as a peak parameter and the peak height will not be shown to the user.Note:For asymmetric peaks, the FWHM only refers to the half of the peak that is symmetrical. The actual FWHM of the peak is calculated numerically and is shown after the actual FWHM in the Peak Parameter Window. If the asymmetric peak is a doublet (p, d or f type peak), the actual FWHM is the FWHM of the doublet.Region ShiftA Region Shift parameter was added under the Parameters menu∙Use this parameter to compensate for the charging effect, the fermi level shift or any change in the system work function∙This value will be added to all the peak positions in the region for fitting purposes.An example:∙ A polymer surface is positively charged and all the peaks are shifted to the high binding energy by +0.5eV, e.g. aliphatic carbon at 285.0eV shifts to 285.5eV∙When the Region Shift parameter is set to +0.5eV, 0.5eV will be added to all the peak positions in the region during peak fitting, but the listed peak positions are not changed, e.g. 285.0eV for aliphatic carbon. Note: I have tried this without any actual shift taking place. If someone finds out how to perform this operation, please let me know. Thanks, CMH.In the meantime, I suggest you do the shift before converting your files from the Vision Software format.OptimisationYou can optimise:1. A single peak parameter∙Use the Optimize button beside the parameter in the Peak Fitting window2. The peak (the peak position, area, FWHM, and the %GL if the "fix" box isnot ticked)∙Use the Optimize Peak button at the base of the Peak Fitting window3. A single region (all the parameters of all the peaks in that region if the"fix" box is not ticked)∙Use the Optimize Region menu (button) in the upper window4. All the regions∙Use the Optimize All button in the lower window∙During any type of optimisation, you can press the "Stop Fitting" button and the program will stop the process in the next cycle.Print/ExportIn the XPS Peak Fit or Region window, From the Data menu, choose Export or Print options as desiredExport∙The program can export the ASCII file of spectrum (*.DAT) for making high quality figures using other software (e.g. SigmaPlot)∙It can export the parameters (*.PAR) for further calculations (e.g. use Excel for atomic ratio calculations)∙It can also copy the spectral image to the system clipboard so that the spectral image can be pasted into a document (e.g. MS WORD). Program Options1. The %tolerance allows the optimisation routine to stop if the change inthe difference after one loop is less that the %tolerance2. The default setting of the optimisation is Newton's method∙This method requires a delta value for the optimisation calculations ∙You may need to change the value in some cases, but the existing setting is enough for most data.3. For the binary search method, it searches the best fit for each parameterin up to four levels of value ranges∙For example, for a peak position, in first level, it calculates the chi^2 when the peak position is changed by +2eV, +1.5eV, +1eV, +0.5eV,-0.5eV, -1eV, -1.5eV, and -2eV (range 2eV, step 0.5eV) ∙Then, it selects the position value that gives the lowest chi^2∙In the second level, it searches the best values in the range +0.4eV, +0.3eV, +0.2eV, +0.1eV, -0.1eV, -0.2eV, -0.3eV, and -0.4eV (range0.4eV, step 0.1eV)∙In the third level, it selects the best value in +0.09eV, +0.08eV, ...+0.01eV, -0.01eV, ...-0.09eV∙This will give the best value with two digits after decimal∙Level 4 is not used in the default setting∙The range setting and the number of levels in the option window can be changed if needed.4. The Newton's Method or Binary Search Method can be selected byclicking the "use" selection box of that method.5. The selection of the peak function is also in the Options window.6. The user can save/read the option parameters with the file extension*.opa∙The program reads the default.opa file at start up. Therefore, the user can customize the program options by saving the selectionsinto the default.opa file.CompatibilityThe program can read:∙Kratos text (*.des) files together with the peak fitting parameters in the file∙The ASCII files exported from Phi's Multiplex software∙The ASCII files of Leybold's software∙The VAMAS file format∙For the Phi, Leybold and VAMAS formats, multiple regions can be read∙For the Phi format, if the description contains a comma ",", the program will give an error. (If you get the error, you may use any texteditor to remove the comma)The program can also import ASCII files in the following format:Binding Energy Value 1 Intensity Value 1Binding Energy Value 2 Intensity Value 2etc etc∙The B.E. list must be in ascending or descending order, and the separation of adjacent B.E.s must be the same∙The file cannot have other lines before and after the data∙Sometimes, TAB may cause a reading error.File I/OThe file format of XPSPEAK 4.1 is different from XPSPEAK 3.1, 3.0 and 2.0 ∙XPSPEAK 4.1 can read the file format of XPSPEAK 3.1, 3.0 and 2.0, but not the reverse∙File format of 4.1 is the same as that of 4.0.LimitationsThis program limits the:∙Maximum number of points for each spectrum to 5000∙Maximum of peaks for all the regions to 51∙For each region, the maximum number of peaks is 10. Cautions for Peak FittingSome graduate students believe that the fitting parameters for the best fitted spectrum is the "final answer". This is definitely not true. Adding enough peaks can always fit a spectrum∙Peak fitting only assists the verification of a model∙The user must have a model in mind before adding peaks to the spectrum!Sample Files:gaas.xpsThis file contains 10 spectra1. Use Open XPS to retrieve the file. It includes ten regions∙1-4 for Ga 3d∙5-8 for Ga 3d∙9-10 for S 2p2. For the Ga 3d and As 3d, the peaks are d-type with s.o.s. = 0.3 and 0.9respectively3. Regions 4 and 8 are the sample just after S-treatment4. Other regions are after annealing5. Peak width of Ga 3d and As 3d are constrained to those in regions 1 and56. The fermi level shift of each region was determined using the As 3d5/2peak and the value was put into the "Region Shift" of each region7. Since the region shift takes into account the Fermi level shift, the peakpositions can be easily referenced for the same chemical components in different regions, i.e.∙Peak#1, 3, 5 of Ga 3d are set equal to Peak#0∙Peak#8, 9, 10 of As 3d are set equal to Peak#78. Note that the %GL value of the peaks is 27% using the GL sum functionin Version 4.0, while it is 80% using the GL product function in previous versions.18 Cu2p_bg.xpsThis spectrum was sent to me by Dr. Roland Schlesinger. It shows a background subtraction using the Shirley + Linear method∙See Shirley + Linear Background, (Page 7)Kratos.des∙This file shows a Kratos *.des file∙This is the format your files should be in if they have come from the Kratos instrument∙Use import Kratos to retrieve the file. See Opening Files, (Page 4)∙Note that the four peaks are all s-type∙You may delete peak 2, 4 and change the peak 1,3 to d-type with s.o.s. = 0.7. You may also read in the parameter file: as3d.rpa. ASCII.prn∙This shows an ASCII file∙Use import ASCII to retrieve the file∙It is a As 3d spectrum of GaAs∙In order to fit the spectrum, you need to first add the background and then add two d-type peaks with s.o.s.=0.7∙You may also read in the parameter file: as3d.rpa.Other Files(We don’t have an instrument that produces these files at Auckland University., but you may wish to look at them anyway. See the readme.doc file for more info.)1. Phi.asc2. Leybold.asc3. VAMAS.txt4. VAMASmult.txtHave Fun! July 1, 1999.。

基于非负支撑域受限递归逆滤波的自适应图像盲复原

基于非负支撑域受限递归逆滤波的自适应图像盲复原
on NAS RI a g ihm s pr p e . Fis l — F l ort wa o os d r ty,r g a ia i n t r s a d s a e wegh s we e a e o e ul rz to e m n p c i t r dd d t
Ab ta t sr c :To o e c v r ome d s dv n a e ft rg n lNo - g tv t n i a a t g s o he o i i a n ne a iiy a d Sup r o t a n c sve po t c ns r i t Re ur i
第 2 O卷
第 9 期
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O p isa e ii tc nd Pr cson Eng n e i g i e rn
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基于非负矩阵分解的图像脆弱水印算法

基于非负矩阵分解的图像脆弱水印算法

数 字 水 印 作 为 一 种 有 效 的信 息 隐 藏 技 术 . 着 人 们 对 数 随 字 产 品 版 权保 护 要 求 的不 断 提 高 得 到 了迅 猛 发展 。 目前 , 据 根 水 印对 攻 击 的 抵 抗 程 度 不 同 , 将 数 字 水 印 技 术 分 为两 类 [ 可 1 1 :
有 较 强的 鲁 棒 性 。 时 用 户 密钥 保 证 的 算 法 的脆 弱性 。 同 关 键 词 :非 负 矩 阵 分 解 ; 字 水 1 . T 9 17 文献标识码 : A 文 章 编 号 :1 7 — 2 6 2 1 ) 3 0 7 — 3 6 4 6 3 (0 1 2 — 1 8 0
第 1 9卷 第 2 3期
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Fr g l i ia t r a k ng a g r t m s d o o ne a i e m a r x f c o i a i n a i d g t lwa e m r i l o ih ba e n n n- g tv t i a t r z to e

partition 离散数学

partition 离散数学

partition 离散数学
Partition离散数学是一种重要的组合数学工具,它涉及到一些基本的概念和技巧,包括集合、容斥、递归和生成函数等。

Partition 在很多领域中都有应用,比如计算机科学、数学、物理学和化学等。

在计算机科学中,Partition被广泛应用于算法设计和分析、数据结构和计算复杂性理论等方面。

在数学中,Partition被用来研究整数分拆问题、不等式、图论、代数和几何等方面。

此外,Partition也在许多工程领域中有应用,比如信号处理、通信和控制等。

在本书中,我们将介绍Partition的基础知识和应用,为读者提供一个深入学习Partition的基础。

- 1 -。

非平滑非负矩阵分解及其应用研究的开题报告

非平滑非负矩阵分解及其应用研究的开题报告

非平滑非负矩阵分解及其应用研究的开题报告1. 研究背景矩阵分解在机器学习和数据挖掘等领域中具有广泛应用,因为它可以将高维数据映射到低维空间,并且可以从中提取出有用的信息。

在实际应用中,许多矩阵是非负的,例如信号处理、图像处理和文本处理等领域中的矩阵。

因此,非负矩阵分解(NMF)在这些领域中也被广泛应用。

然而,传统的NMF方法假设原始矩阵是平滑的,这在许多实际应用中并不成立。

例如,图像处理中的局部变化和噪声可能导致原始矩阵成为非平滑矩阵。

为了解决这个问题,非平滑NMF(NSNMF)被提出。

2. 研究内容本研究的主要内容是非平滑NMF及其应用。

具体而言,将研究以下内容:(1)非平滑NMF模型及其优化算法:目前较为流行的NSNMF模型有基于稀疏表示的模型、基于低秩表示的模型和基于张量分解的模型等。

针对不同的应用需求,需要选择合适的NSNMF模型。

此外,为了提高模型的准确性和效率,需要研究相应的优化算法。

(2)基于NSNMF的图像处理:图像处理是NSNMF的重要应用领域之一。

通过NSNMF可以实现图像分割、去噪、压缩等功能。

本研究将探讨NSNMF在图像处理中的应用,以及如何选择合适的NSNMF模型和算法。

(3)基于NSNMF的文本处理:文本处理是另一个重要的NSNMF应用领域。

通过NSNMF可以实现文本分类、主题提取、情感分析等功能。

本研究将探讨NSNMF在文本处理中的应用,以及如何选择合适的NSNMF模型和算法。

3. 研究意义本研究的意义如下:(1)探讨NSNMF在非平滑矩阵分解中的应用,为相关领域的研究提供重要思路和参考。

(2)研究NSNMF模型及其优化算法,提高NSNMF的准确性和效率。

(3)开发基于NSNMF的图像处理和文本处理算法,并验证其有效性。

4. 研究方法本研究将采用以下方法:(1)对NSNMF模型进行分析和比较,选择合适的模型。

(2)设计相应的NSNMF优化算法,提高模型的准确性和效率。

卡梅伦液压数据手册(第 20 版)说明书

卡梅伦液压数据手册(第 20 版)说明书
11
iv

CONTENTS OF SECTION 1
☰ Hydraulics
⌂ Cameron Hydraulic Data ☰
Introduction. . . . . . . . . . . . . ................................................................ 1-3 Liquids. . . . . . . . . . . . . . . . . . . ...................................... .......................... 1-3
4
Viscosity etc.
Steam data....................................................................................................................................................................................... 6
1 Liquid Flow.............................................................................. 1-4
Viscosity. . . . . . . . . . . . . . . . . ...................................... .......................... 1-5 Pumping. . . . . . . . . . . . . . . . . ...................................... .......................... 1-6 Volume-System Head Calculations-Suction Head. ........................... 1-6, 1-7 Suction Lift-Total Discharge Head-Velocity Head............................. 1-7, 1-8 Total Sys. Head-Pump Head-Pressure-Spec. Gravity. ...................... 1-9, 1-10 Net Positive Suction Head. .......................................................... 1-11 NPSH-Suction Head-Life; Examples:....................... ............... 1-11 to 1-16 NPSH-Hydrocarbon Corrections.................................................... 1-16 NPSH-Reciprocating Pumps. ....................................................... 1-17 Acceleration Head-Reciprocating Pumps. ........................................ 1-18 Entrance Losses-Specific Speed. .................................................. 1-19 Specific Speed-Impeller. .................................... ........................ 1-19 Specific Speed-Suction...................................... ................. 1-20, 1-21 Submergence.. . . . . . . . . ....................................... ................. 1-21, 1-22 Intake Design-Vertical Wet Pit Pumps....................................... 1-22, 1-27 Work Performed in Pumping. ............................... ........................ 1-27 Temperature Rise. . . . . . . ...................................... ........................ 1-28 Characteristic Curves. . ...................................... ........................ 1-29 Affinity Laws-Stepping Curves. ..................................................... 1-30 System Curves.. . . . . . . . ....................................... ........................ 1-31 Parallel and Series Operation. .............................. ................. 1-32, 1-33 Water Hammer. . . . . . . . . . ...................................... ........................ 1-34 Reciprocating Pumps-Performance. ............................................... 1-35 Recip. Pumps-Pulsation Analysis & System Piping...................... 1-36 to 1-45 Pump Drivers-Speed Torque Curves. ....................................... 1-45, 1-46 Engine Drivers-Impeller Profiles. ................................................... 1-47 Hydraulic Institute Charts.................................... ............... 1-48 to 1-52 Bibliography.. . . . . . . . . . . . ...................................... ........................ 1-53

VW_01014 大众图纸图框及字体规范

VW_01014 大众图纸图框及字体规范

Engineering DrawingsDrawing Frames and Text MacrosPrevious issuesVW 01014: 1971-05, 1984-03, 1992-08, 1998-04, 1998-10, 2000-09, 2001-03, 2002-06, 2003-11,2006-01, 2007-01, 2008-03, 2009-04, 2010-05, 2010-12, 2011-05, 2011-12ChangesThe following changes have been made compared with VW 01014: 2011-12:–Technical responsibility changes–Section 1 "Scope of application": the note concerning the application in section 6 has been re‐moved. It now appears as NOTE 3 in section 1–Section 2.3 "PDM drawing frame": English legal notice updated and table of existing PDM draw‐ing frame formats in KVS added.–Section 3.7 "Volkswagen AG Know-How Protection": text macro NO-A12 added ContentsPageScope .........................................................................................................................4Drawing frames ..........................................................................................................5Drawing frame for Design Engineering (series-production drawing), see Figure 1....................................................................................................................................5Type approval drawing frame, see Figure 2 ...............................................................6PDM drawing frame, see Figure 3 .............................................................................7Drawing frames for operating equipment ...................................................................8Basic drawing frame for operating equipment, see Figure 4 ......................................8Drawing frame for method plan, see Figure 5 ............................................................9Text macros .............................................................................................................10Basic title block .. (10)122.12.22.32.42.4.12.4.233.1Group StandardVW 01014Issue 2012-09Class. No.:02115Descriptors:drawing frames, text macro, standard frame, drawingVerify that you have the latest issue of the Standard before relying on it.This electronically generated Standard is authentic and valid without signature.The English translation is believed to be accurate. In case of discrepancies, the German version is alone authoritative and controlling.Page 1 of 43Confidential. All rights reserved. No part of this document may be provided to third parties or reproduced without the prior consent of the Standards Department of a Volkswagen Group member.This Standard is available to contracting parties solely via the B2B supplier platform .© Volkswagen AktiengesellschaftVWNORM-2011-08gTitle blocks for drawings with restrictions on use .....................................................11Title block for layout drawings (ENT) > A0 ...............................................................12Symbol for European projection method ..................................................................13Change block for formats > A0 .................................................................................13Tolerancing principle as per VW 01054 ...................................................................13Volkswagen Group know-how protection .................................................................13Drawing field ............................................................................................................14Lower left corner of drawing for formats > A0 ..........................................................14Left drawing edge for formats > A0 ..........................................................................14Explanation of parenthesized dimensions for formats > A0 (lower left corner ofdrawing field) ............................................................................................................14References for formats > A0 ....................................................................................15Migration from CATIA V4 to CATIA V5 ....................................................................15Parts marking ...........................................................................................................15Part number assignment drawn / symmetrically opposite ........................................15Note on utilization of scrap material .........................................................................16NO-F1 Drawings with multiple sheets ......................................................................16Repeating and unchanging notes, mostly on body components ..............................16Drawing only for the company stated .......................................................................16Note on parts which are subject to build sample approval (BMG) ...........................17Notes on testing as per Technical Supply Specifications (TL) .................................17Note on type approval ..............................................................................................17Note on undimensioned design models in the data record ......................................17Note on open-air weathering ....................................................................................17Note on model approval ...........................................................................................17Note on master model ..............................................................................................18Note on second original, font size 7 mm ..................................................................18Note on second original, font size 3,5 mm ...............................................................18Note on heavy-duty component ...............................................................................18Note on mandatory type approval ............................................................................19Note on avoidance of hazardous substances ..........................................................19Note on other relevant drawings ..............................................................................19Note on undimensioned bend and trim radii ............................................................19Note on simplified representation .............................................................................19Note on flawless condition of surfaces .....................................................................19Note on material for form tool in grain area ..............................................................20Table for RPS ...........................................................................................................20Note on emission behavior .......................................................................................20Note on length dimensions to be measured up to relevant functional datum plane ..................................................................................................................................20Note on related tolerances for nominal dimension ranges up to relevant functional datum plane .............................................................................................................21Note on tolerances of surfaces as compared to the data record and defined RPS..................................................................................................................................21Note on tolerances of marked surfaces as compared to the data record anddefined RPS .............................................................................................................21Note on tolerances of marked and limited surfaces as compared to the datarecord and defined RPS ...........................................................................................21Note on tolerances of marked edges as compared to the data record and defined RPS ..........................................................................................................................21Note on alternative materials and surface protection types .....................................22Note on color and grain .. (22)3.23.33.43.53.63.744.14.24.34.44.54.64.74.84.94.104.114.124.134.144.154.164.174.184.194.204.214.224.234.244.254.264.274.284.294.304.314.324.334.344.354.364.374.38Page 2VW 01014: 2012-09Note on temperature resistance ...............................................................................22Note on color consistency ........................................................................................22Note on lightfastness ................................................................................................22Note on fixing, clamping and contact surface ..........................................................23Note on related finished part drawing ......................................................................23Note on material specifications, complete ................................................................23Note on material specifications, subdivided .............................................................24Note on optional welding technology .......................................................................24Note on flammability features ...................................................................................24Note on table containing gear tooth data .................................................................25Note on weight indication .........................................................................................25Note on amine emission of foam parts .....................................................................25Note on cleanliness requirements for engine components ......................................25Countersinks for internal threads .............................................................................26Testing of rolled bushings ........................................................................................26Table for limit dimensions ........................................................................................26Detail drawing for radius under screw head, mostly for standard part drawings (27)Test specification for disk wheels .............................................................................27Test specification for brake drums ...........................................................................28General tolerances for castings ...............................................................................28General tolerances for forgings ................................................................................29Coordinate dimensioning for tubes and bars ...........................................................30Bill of materials for layout drawings (ENT) ...............................................................30Distribution list for layout drawings (ENT) ................................................................31Text macros for operating equipment ......................................................................31Title block for individual part .....................................................................................31Note on pass direction, left .......................................................................................32Note on pass direction, right ....................................................................................32Title block for operating equipment label .................................................................32General tolerances for nominal dimensions without tolerance specification ............32Note on simplified drawing specifications on surface roughnesses .........................33Permissible deviations for nominal sizes without tolerance specification onweldments ................................................................................................................33Permissible deviations for nominal dimensions without tolerance specificationson flame-cut parts ....................................................................................................33Note on parts used ...................................................................................................34Note on rolled flame-cutting template plots ..............................................................34Note on "Add ½ kerf" ................................................................................................34Note on "designed" and "symmetrical opposite" ......................................................34Text macros for the "3D drawingless process" (3DZP – German abbreviation) ......35VW copyright ............................................................................................................35Note on restriction on use ........................................................................................35Note on type approval documentation and type approval number ...........................35Draft number ............................................................................................................36Note on engineering project number ........................................................................36Note on safety documentation .................................................................................36Recycling requirements as per VW 91102 ...............................................................36All dimensions apply to the finished part including surface protection .....................36Surface roughness as per VW 13705 and VDA 2005 ..............................................36Surface roughness as per VW 13705 and VDA 2005 (reference without symbol) (37)4.394.404.414.424.434.444.454.464.474.484.494.504.514.524.534.544.554.564.574.584.594.604.614.6255.15.25.35.45.55.65.75.85.95.105.115.1266.16.26.36.46.56.66.76.86.96.9.1Page 3VW 01014: 2012-09Surface roughness as per VW 13705 and VDA 2005 (reference with symbol) .......37Surface roughness as per VW 13705 and VDA 2005 (reference with symbol,collective specification 1) .........................................................................................38Surface roughness as per VW 13705 and VDA 2005 (reference with symbol,collective specification 2) .........................................................................................39Workpiece edges as per VW 01088 .........................................................................39Workpiece edges as per VW 01088 (reference without symbol) .............................40Workpiece edges as per VW 01088 (reference with symbol) ..................................40Workpiece edges as per VW 01088 (reference with symbol, collectivespecification 1) .........................................................................................................41Workpiece edges as per VW 01088 (reference with symbol, collectivespecification 2) .........................................................................................................42Applicable documents ..............................................................................................426.9.26.9.36.9.46.106.10.16.10.26.10.36.10.47ScopeThis standard applies to the computer-aided graphical representation and presentation of drawing templates, standard frames and text macros for drawings within the Volkswagen Group.NOTE 1 The standardized text macros are subject to drawing standard regulations and are centrally managed by the "Virtual Systems and Standardization" department.NOTE 2 All drawing frames and text macros shown here are available in the appropriate standard system environment of the CAD systems CATIA and Creo Elements/Pro (formerly PRO/E). The PDM drawing frames are also available as IsoDraw and Excel templates in the KVS, and also as Catia V5templates.NOTE 3 The text macros shown in section 6 are for the drawingless process only. The creator and the user of the data must agree whether their process chain allows for the use of documents as per the 3DZP method, and whether this is permissible.1Page 4VW 01014: 2012-09Drawing framesDrawing frame for Design Engineering (series-production drawing), see Figure 1Figure 1 – Drawing frame for Design Engineering (series-production drawing)2 2.1Page 5VW 01014: 2012-09Type approval drawing frame, see Figure 2Figure 2 – Type approval drawing frame2.2 Page 6VW 01014: 2012-09PDM drawing frame, see Figure 3Figure 3 – PDM drawing frame2.3 Page 7VW 01014: 2012-09Drawing frames for operating equipmentBasic drawing frame for operating equipment, see Figure 4Figure 4 – Basic drawing frame for operating equipment2.4 2.4.1Page 8VW 01014: 2012-09Drawing frame for method plan, see Figure 5Figure 5 – Drawing frame for method plan2.4.2 Page 9VW 01014: 2012-09Text macrosBasic title blockFigure 6 – Code no: NO-A1Basic title block for formats > A03 3.1Page 10VW 01014: 2012-09Title blocks for drawings with restrictions on useFigure 7 – Code no: NO-A7 A3The title block may only be used if supplier original drawings are used as modified finished part drawings.Notes on the usage of these title blocks see VW 01058.3.2Title block for layout drawings (ENT) > A0Figure 8 – Code no: NO-A3ENT = Draft3.3Symbol for European projection methodFigure 9 – Code no: NO-A5Change block for formats > A0Figure 10 – Code no: NO-A6Tolerancing principle as per VW 01054Figure 11 – Code no: NO-A11Volkswagen Group know-how protectionFigure 12 – Code no: NO-A123.4 3.5 3.6 3.7Drawing fieldLower left corner of drawing for formats > A0Figure 13 – Code no: NO-B1Left drawing edge for formats > A0Figure 14 – Code no: NO-B3Explanation of parenthesized dimensions for formats > A0 (lower left corner of drawingfield)Figure 15 – Code no: NO-B644.1 4.2 4.3References for formats > A0Figure 16 – Code no: NO-B7Migration from CATIA V4 to CATIA V5Figure 17 – Code no: NO-B8Parts markingFigure 18 – Code no: NO-E2Part number assignment drawn / symmetrically oppositeFigure 19 – Code no: NO-E54.4 4.5 4.6 4.7Note on utilization of scrap materialFigure 20 – Code no.:NO-F1 Drawings with multiple sheetsFigure 21 – Code no: NO-F2Repeating and unchanging notes, mostly on body componentsFigure 22 – Code no: NO-F3Drawing only for the company statedFigure 23 – Code no: NO-F4 (do not use for new designs!)4.8 4.9 4.10 4.11Note on parts which are subject to build sample approval (BMG)Figure 24 – Code no: NO-F5Notes on testing as per Technical Supply Specifications (TL)Figure 25 – Code no: NO-F6Note on type approvalFigure 26 – Code no: NO-F7Note on undimensioned design models in the data recordFigure 27 – Code no: NO-F8Note on open-air weatheringFigure 28 – Code no: NO-F9Note on model approvalFigure 29 – Code no: NO-F104.12 4.13 4.14 4.15 4.16 4.17Note on master modelFigure 30 – Code no: NO-F11Note on second original, font size 7 mmFigure 31 – Code no: NO-F12Note on second original, font size 3,5 mmFigure 32 – Code no: NO-F13Note on heavy-duty componentFigure 33 – Code no: NO-F144.18 4.19 4.20 4.21Note on mandatory type approvalFigure 34 – Code no: NO-F15Note on avoidance of hazardous substancesFigure 35 – Code no: NO-F16Note on other relevant drawingsFigure 36 – Code no: NO-F17Note on undimensioned bend and trim radiiFigure 37 – Code no: NO-F18Note on simplified representationFigure 38 – Code no: NO-F19Note on flawless condition of surfacesFigure 39 – Code no: NO-F204.22 4.23 4.24 4.25 4.26 4.27Note on material for form tool in grain areaFigure 40 – Code no: NO-F22Table for RPSFigure 41 – Code no: NO-F23Note on emission behaviorFigure 42 – Code no: NO-F24Note on length dimensions to be measured up to relevant functional datum planeFigure 43 – Code no: NO-F254.28 4.29 4.30 4.31Note on related tolerances for nominal dimension ranges up to relevant functional datumplaneFigure 44 – Code no: NO-F26Note on tolerances of surfaces as compared to the data record and defined RPSFigure 45 – Code no: NO-F27Note on tolerances of marked surfaces as compared to the data record and defined RPSFigure 46 – Code no: NO-F28Note on tolerances of marked and limited surfaces as compared to the data record anddefined RPSFigure 47 – Code no: NO-F29Note on tolerances of marked edges as compared to the data record and defined RPSFigure 48 – Code no: NO-F304.32 4.33 4.34 4.35 4.36Note on alternative materials and surface protection typesFigure 49 – Code no: NO-F31Note on color and grainFigure 50 – Code no: NO-F32Note on temperature resistanceFigure 51 – Code no: NO-F33Note on color consistencyFigure 52 – Code no: NO-F35Note on lightfastnessFigure 53 – Code no: NO-F364.37 4.38 4.39 4.40 4.41Note on fixing, clamping and contact surfaceFigure 54 – Code no: NO-F37Note on related finished part drawingFigure 55 – Code no: NO-F38Note on material specifications, completeFigure 56 – Code no: NO-F394.42 4.43 4.44Note on material specifications, subdividedFigure 57 – Code no: NO-F40Note on optional welding technologyFigure 58 – Code no: NO-F41Note on flammability featuresFigure 59 – Code no: NO-F424.45 4.46 4.47Note on table containing gear tooth dataFigure 60 – Code no: NO-F43Note on weight indicationFigure 61 – Code no: NO-F44Note on amine emission of foam partsFigure 62 – Code no: NO-F45Note on cleanliness requirements for engine componentsFigure 63 – Code no: NO-F464.48 4.49 4.50 4.51Countersinks for internal threadsFigure 64 – Code no: NO-G0Testing of rolled bushingsFigure 65 – Code no: NO-G1Table for limit dimensionsFigure 66 – Code no: NO-G24.52 4.53 4.54Detail drawing for radius under screw head, mostly for standard part drawingsFigure 67 – Code no: NO-G4Test specification for disk wheelsFigure 68 – Code no: NO-G64.55 4.56Test specification for brake drumsFigure 69 – Code no: NO-G7General tolerances for castingsFigure 70 – Code no: NO-G84.57 4.58General tolerances for forgingsFigure 71 – Code no: NO-G94.59Coordinate dimensioning for tubes and barsFigure 72 – Code no: NO-G10Bill of materials for layout drawings (ENT)Figure 73 – Code no: NO-H14.60 4.61Distribution list for layout drawings (ENT)Figure 74 – Code no: NO-H2Text macros for operating equipmentTitle block for individual partFigure 75 – Code no: R001 individual part4.62 55.1Note on pass direction, leftFigure 76 – Code no: R002 pass direction, leftNote on pass direction, rightFigure 77 – Code no: R003 pass direction, rightTitle block for operating equipment labelFigure 78 – Code no: R004 operating equipment labelGeneral tolerances for nominal dimensions without tolerance specificationFigure 79 – Code no: R005 machining operation5.2 5.35.45.5Note on simplified drawing specifications on surface roughnessesFigure 80 – Code no: R006 surfacesPermissible deviations for nominal sizes without tolerance specification on weldmentsFigure 81 – Code no: R007 welded partsPermissible deviations for nominal dimensions without tolerance specifications on flame-cut partsFigure 82 – Code no: R008 flame-cut parts5.6 5.75.8Note on parts usedFigure 83 – Code no: R009 parts usedNote on rolled flame-cutting template plotsFigure 84 – Code no: R010 flame-cutting templateNote on "Add ½ kerf"Figure 85 – Code no: R011 kerfNote on "designed" and "symmetrical opposite"Figure 86 – Code no: R012 symmetrical opposite5.9 5.105.115.12Text macros for the "3D drawingless process" (3DZP – German abbreviation)The following text macros are not created in CAD systems, but only in the PDM system KVS.The design engineer must add the necessary parameters to the text macros.VW copyrightFigure 87 – Code no: NOZ-01Note on restriction on useLegend P01Company nameFigure 88 – Code no: NOZ-02Note on type approval documentation and type approval numberLegend P01Type approval doc. and type approval numberFigure 89 – Code no: NOZ-036 6.16.26.3Draft numberLegend P01Draft numberFigure 90 – Code no: NOZ-04Note on engineering project numberLegend P01Engineering project numberFigure 91 – Code no: NOZ-05Note on safety documentationLegend P01TLD number (technical guideline for documentation – German abbreviation)Figure 92 – Code no: NOZ-06Recycling requirements as per VW 91102Figure 93 – Code no: NOZ-07All dimensions apply to the finished part including surface protectionFigure 94 – Code no: NOZ-08Surface roughness as per VW 13705 and VDA 2005The design engineer must add the required parameters to the symbols shown here (e.g., Rz value).Two types of text macros (with and without graphical representation) have been defined. Variant NOZ-09 is a reference to Standard VW 13705, additional information possible, but restricted. Variants NOZ-09-01 a to f are reserved for the main surface roughness value. Due to system restrictions,identical symbols cannot be used more than once. For this reason, the symbols in section 6.9.3 and6.4 6.56.66.76.86.9section 6.9.4 must be used for cases of multiple use. If surface roughness values are added as a note, the text macros are placed beneath each other instead of beside each other. This deviating representation has been released for the 3DZP drawingless process.Surface roughness as per VW 13705 and VDA 2005 (reference without symbol)Figure 95 – Code no: NOZ-09Surface roughness as per VW 13705 and VDA 2005 (reference with symbol)Figure 96 – Code no: NOZ-09-01-aFigure 97 – Code no: NOZ-09-01-bFigure 98 – Code no.: NOZ-09-01-cLegend P01Machining allowance (numerical value in mm)P02Production processP03Surface parameter and numerical valueP04if applicable, additional requirement as per VDA 2005P05if applicable, additional requirement as per VDA 2005P06if applicable, second requirement on surface texture (surface parameter,numerical value)P07Specification of the surface groovesLegend P01Letter for simplified drawing specification. Method defined in section "simplified specifi‐cation" in VDA 2005Figure 99 – Code no: NOZ-09-01-d6.9.16.9.2Figure 100 – Code no: NOZ-09-01-e Figure 101 – Code no: NOZ-09-01-fSurface roughness as per VW 13705 and VDA 2005 (reference with symbol, collectivespecification 1)Figure 102 – Code no: NOZ-09-02-aFigure 103 – Code no: NOZ-09-02-bFigure 104 – Code no: NOZ-09-02-cLegend P01Machining allowance (numerical value in mm)P02Production processP03Surface parameter and numerical valueP04if applicable, additional requirement as per VDA 2005P05if applicable, additional requirement as per VDA 2005P06if applicable, second requirement onsurface texture (surface parameter,numerical value) P07Specifica‐tion of thesurface groovesCode no.:Legend P01Letter for simplified drawing specification. Method defined in section "simplified specifi‐cation" in VDA 2005Figure 105 – NOZ-09-02-dFigure 106 – Code no: NOZ-09-02-e Figure 107 – Code no: NOZ-09-02-f6.9.3。

operation would result in non-manifold bodies

operation would result in non-manifold bodies

operation would result in non-manifold bodies非流形体是在计算机图形学和计算机辅助设计中经常出现的一个问题。

它表示3D模型的一种错误状态,其中一些面或边被复制、相交或连接在一起,导致模型在数学上不具备清晰定义的临界点或边界。

非流形体可能会导致计算机图形渲染的问题,如光照和阴影效果的错误显示,以及物体变形或边界不完整的问题。

在计算机生成的模型中,有几个操作可能会导致非流形体:1. 重叠的三角形:当两个或多个三角形重叠时,就会产生非流形体。

这可能发生在模型构建过程中,例如,当使用不精确的建模工具创建模型时,可能会出现这种情况。

2. 不封闭的边缘:当模型中存在不封闭的边缘时,将产生非流形体。

例如,一个正方体如果有一个缺失的面,就会导致这种问题。

3. 自相交:当模型的部分面或边相互穿过或相交时,会产生非流形体。

这通常发生在对模型进行变形或动画处理时。

4. 多边形凹陷:当一个多边形具有一个或多个凹陷部分时,会产生非流形体。

这通常是由问题建模导致的,例如,当使用较少的边或点进行建模时。

5. 粘连点:当两个或多个点在模型中粘在一起时,将产生非流形体。

这可能是由于模型合并操作或错误的顶点连接导致的。

为了解决这些非流形体的问题,可以使用以下方法:1. 检查和修复非流形体:使用计算机辅助设计软件或3D建模工具,可以检查模型是否存在非流形体,并尝试自动修复这些问题。

这些工具可以自动合并相邻的边或顶点,分割重叠的三角形,或填充缺失的面。

2. 重新建模:如果模型的非流形体问题无法通过自动修复解决,可能需要重新建模。

这意味着使用精确的建模工具并遵循建模标准,以确保模型在构建过程中保持流形性。

3. 使用高级建模技术:一些高级建模技术可以避免产生非流形体。

例如,使用体素网格构建模型可以确保模型在散射光照和动态碰撞检测中具有更好的性能。

总而言之,了解和解决非流形体问题对于构建高质量的3D模型是至关重要的。

IBM Cognos Transformer V11.0 用户指南说明书

IBM Cognos Transformer V11.0 用户指南说明书
Dimensional Modeling Workflow................................................................................................................. 1 Analyzing Your Requirements and Source Data.................................................................................... 1 Preprocessing Your ...................................................................................................................... 2 Building a Prototype............................................................................................................................... 4 Refining Your Model............................................................................................................................... 5 Diagnose and Resolve Any Design Problems........................................................................................ 6

ABAQUS常见问题汇总

ABAQUS常见问题汇总
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ABAQUS 常见问题汇总 - 2.0 版
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0. ABAQUS 入门资料.......................................................................................................................... 4
6.1 ABAQUS 安装方法 ................................................................................................................. 12 6.2 ABAQUS 显示异常(无法显示栅格、显卡冲突、更改界面颜色).......................................... 21 6.3 Document 无法搜索................................................................................................................. 21 6.4 磁盘空间不足 ........................................................................................................................... 22 6.5 Linux 系统................................................................................................................................ 22 6.6 死机后恢复模型 ....................................................................................................................... 23
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a r X i v :m a t h /0510447v 3 [m a t h .C O ] 30 O c t 2005Noncrossing Partitions Under Rotation and ReflectionDAVID CALLAN LEN SMILEY Department of Statistics Department of Mathematical Sciences University of Wisconsin-Madison University of Alaska Anchorage 1300University Ave 3211Providence Drive Madison,WI 53706-1532Anchorage AK 99508callan(at) smiley(at) October 30,2005Abstract We consider noncrossing partitions of [n ]under the action of (i)the reflection group (of order 2),(ii)the rotation group (cyclic of order n)and (iii)the rota-tion/reflection group (dihedral of order 2n).First,we exhibit a bijection from rotation classes to bicolored plane trees on n edges,and consider its implications.Then we count noncrossing partitions of [n ]invariant under reflection and show that,somewhat surprisingly,they are equinumerous with rotation classes invariant under reflection.The proof uses a pretty involution originating in work of Germain Kreweras.We conjecture that the “equinumerous”result also holds for arbitrary partitions of [n ].1IntroductionA noncrossing partition of [n ]={1,2,...,n }is one for which no quadruple a <b <c <d has a,c in one block and b,d in another.This implies that if the elements of [n ]are situated around a circle with 1→2→3→···→n →1forming a cycle,and neighboring elements within each block are joined by line segments,then no line segments cross one another (see figure below).The map i →i +1(mod n )on [n ]induces a map—the rotation operator R —on partitions πof [n ].Equivalence under repeated application of R divides them into rotation classes:A (π)={R i (π)}i ≥1.The complement of a partition πof [n ]is C (π):=n +1−π(elementwise).It is easy to check that C ◦R =R −1◦C and so the complement operation permutes rotation classes.We say a partition πis self-complementary if C (π)=πand a rotation class A is self-complementary if C (A )=A .As we will see,a self-complementary rotation class need not contain any self-complementary partitions.The operations rotation and complementation both preserve the noncrossing (NC)property of partitions.In particular,a rotation class consists entirely of NC partitions if it contains a single one.A NC rotation class may be represented by a polygon diagram with the labels removed,we’ll call it an NC Polygon (or Partition)Pattern (NCPP). ••123456polygon diagram of the NC partitionpolygon diagram of its rotation class 134-2-56:labels fixed in place is an NCPP:no labels,rotate at willClearly,a NC partition is self-complementary if its labeled polygon diagram is invariant when flipped across a vertical line,and a NC rotation class is self-complementary if its plane polygon pattern is achiral,that is,invariant when flipped over (across any line).A bicolored plane tree is a plane tree (no root,no labels)in which each vertex is colored white or yellow (say)in such a way that adjacent vertices get different colors.The color of one vertex determines that of all the others (see Figure 5).We exhibit a bijection from NC rotation classes (n points)to bicolored plane trees (n edges)in §2.We count self-complementary NC partitions in §3and show they are equinumerous with self-complementary NC rotation classes,equivalently,achiral NC polygon patterns in §4.Remarks,figures,and a conjecture comprise §5.The Appendix contains enumerations and tables.The enumeration of bicolored plane trees (A054357)has been significantly generalized in [2].We note that (scaled)Shabat polynomials [1,4]are also counted by A054357.2BijectionThe bijection from NC polygon diagrams to bicolored binary trees is depicted in the Figure below.In forming the polygon diagram of a NC partition,the convex hull of each block of size k forms a k -sided yellow polygon even for k =1,2by liberal interpretation of “polygon”as illustrated.The polygons are disjoint because the partition is noncrossing.Ignoring the labels and considering the configuration of polygons only up to rotation,it represents an NC polygon pattern(NCPP).38An NC polygon diagram with superimposed bicolored plane treepolygon sides ↔tree edgesThe bijection is clear:place a vertex in each region of the circle,both yellow and white.Join vertices in adjacent regions by edges.Then allow each vertex to inherit the color of the region it’s in to get the desired bicolored plane tree.As for invertibility,the “star”tree with yellow leaves joined to a white center corresponds to the NCPP all ofwhose polygons are of the degenerate one-sided type.Otherwise the tree has a non-leafbelow.yellow vertex and its inverse is formed recursively as illustratedthe polygon surrounding an internal yellow vertex;recursivelyconstruct polygons for the trees T i on their corresponding arcsThere are two immediate consequences of this bijection.Thefirst one is a special case of Theorem10in[2].•The Catalan numbers(A000108)count bicolored plane trees with a distinguished edge.This is because the positioning of the labels on the circle can be captured by associating an edge in the tree with label1,say thefirst tree edge encoun-tered travelling clockwise from1around the polygon incident with1.Thus the distinguished-edge bicolored plane trees on n edges are in correspondence with or-dinary NC partitions of[n],counted by C n[12].•On NC partitions,as well as on circular NC partitions,the statistics“#singletons”and“#adjacencies”have the same distribution,in fact a symmetric joint distribu-tion.This is due to the correspondences yellow leaf↔singleton block,and white leaf↔adjacency,that is,two consecutive elements of[n]in the same block.(Of course consecutive is taken here in the circular sense,so n and1are considered con-secutive.)The symmetry of the joint distribution holds for unrestricted partitions too[5].3Counting Self-Complementary NC PartitionsUsing paths from (0,0)with Upsteps (1,1)and Downsteps (1,−1)(see,e.g.,[7]),we will show that the number of self-complementary NC partitions of [n ]is n ⌊n/2⌋ .There is a bijection from Dyck n -paths (Quadrant 1,ending at (2n,0))to NC partitions of [n ]that sends #peaks to #blocks.Given a Dyck n -path,number its upsteps left to right and then give each downstep the number of its matching upstep.The numbers on each descent (maximal sequence of contiguous downsteps)form the blocks of the corresponding NC partition.. d d d d d d d d d d d d d d d d d d d d d d d d ........................................................................................................................145387962111210123456789101112number downsteps,each with the number of its matching upstep •••••••••••••••••••••••••Partition downstep labels by descents to get1−4−53−87−962−11−1210,a noncrossing partition with arc diagram123456789101112Under this bijection,peak downsteps correspond to largest block elements,and downsteps returning the path to ground level correspond to smallest elements in maximal blocks (a maximal block is one whose arcs would get wet if it rained,here there are 3such:1,269,1012).Theorem 1.The number of self-complementary NC partitions of [n ]is |A n |= n ⌊n/2⌋ .Proof We give a bijective proof for n even.(The case n odd is similar and is omitted.)So suppose n =2m .The right hand side clearly counts paths of m upsteps and m downsteps (balanced m -paths).Now a NC partition πof [2m ]induces a partition τof [m ]by intersecting its blocks with [m ].For τi a block of τ,setτior τi ∪last form is permissible only ifτi is a maximal block ofτ(elseπwould have a crossing). So self-complementary NC partitionsπof[2m]correspond to NC partitionsτof[m]in which each maximal block may(or not)be marked:a mark onτi indicating thatτi∪τi are separate blocks ofπ.Using the NC partition↔Dyck path correspondence above,these marked objects correspond in turn to Dyck m-paths with returns(to ground level)available for marking.Returns split a Dyck path into its components(Dyck subpaths whose only return is at the end).Flip over each component that terminates at a marked return to obtain a balanced m-path. This is the desired bijection from self-complementary NC partitions of[2m]to balanced m-paths.4Counting Achiral NC Polygon PatternsTheorem2.The set A n of achiral NC Polygon Patterns(or self-complementary NC rotation classes)of[n]is equinumerous with the set of self-complementary NC partitions of[n],and hence|A n|= n⌊n/2⌋ .To prove this,recall two related operations on NC partitions[8,11]defined using polygon diagrams as illustrated in Figures1,2,3below.In both cases,new vertices(in blue)interleave the old vertices(in black)but their labelings differ.The new labels are then formed into maximal blocks subject only to:new polygons are disjoint from the old ones.It is clear from their defining diagrams thatH2=R−1,T2=I,T=CHand it is not hard to see that T R=R−1T and hence,by induction,T R i=R−i T for all i.The following result is key to the bijection establishing the Theorem.Proposition1.CT=TRCProof H2=R−1⇒H=R−1H−1⇒CT=R−1T C=T RC.For n≥3,H=R and we note in passing that the operations C,T,H,R on NC partitions of[n]generate a dihedral group D2n(of4n elements)with presentation H,C: H2n=C2=I,CHC−1=H−1 .Figure1:NC parti-tionπby polygonsFigure2:πwith H(π)Figure3:πwith T(π)Next we define the notion of complement order on partitions in achiral NC rotation classes.Suppose A∈A n andπis a partition in A.Then C(π)∈A(because A is achiral) and so C(π)=R i(π)for some i≥1(i=n will do if C(π)=π).Define the complement order ofπto be the minimal such i≥1.Lemma1.(i)An achiral rotation class A contains at most2self-complementary partitions. (ii)If|A|is odd,then A contains exactly one self-complementary partition.(iii)If|A|is even,then either every partition in A has even complement order or ev-ery partition in A has odd complement order.In the former case,A contains2self-complementary partitions;in the latter case,none.The proof is deferred.Theorem2will follow from this lemma if we can show that, among even-cardinality achiral NC rotation classes A in A n,there are just as many associated with even complement order as with odd.(Of course,|A|even implies n even.) We claim the transpose T is a bijection,indeed an involution,that interchanges these two families.To see this,first suppose that A∈A n has even cardinality,say|A|=2s,and π∈A has even complement order,say C(π)=R2mπ.Then,using Proposition1,C(Tπ)=T R Cπ=T R2m+1π=R−(2m+1)Tπ=R2s−2m−1(Tπ)and Tπhas odd complement order.The other direction is similar,the desired bijection is established,and Theorem2follows.Proof of Lemma1Suppose a rotation class A contains a self-complementary partition π.Then the complement of every other element of A is given byCR iπ=R−i Cπ=R−iπ(1)Now suppose R iπ∈A is also self-complementary.It follows from(1)that R2iπ=π.Set t=|A|so that R jπ=π⇒t|j.Hence t|2i.If t is odd,then t|i and R iπ=π,implying thatπis the only self-complementary partition in A.If t is even,say t=2s,then s|i and R iπis one of R sπand R2sπ=π. These facts establish part(i)and the“at most one”half of part(ii).For the“at least one”half of part(ii),suppose|A|is odd.Takeπ∈A.Since A is achiral,Cπ=R kπfor some k and so the complement of each element of A is given by CR iπ=R k−iπ.If k is even,then i=k/2makes R iπself-complementary.On the other hand,if k is odd,say k=2ℓ+1and|A|=2s+1,then i=ℓ−s makes R iπself-complementary.This establishes part(ii).For part(iii),let t:=|A|be even.First,suppose someπ∈A has even complementary order k:C(π)=R kπ.Then C(R iπ)=R k−iπ=R k−2i R iπand the powers of R that fix R iπare all≡k−2i(mod t)and hence even.Thus every element of A has even complementary order and R iπis self-complementary for i=k/2and i=(k+t)/2. Similarly,if some elementπof A has odd complementary order,then they all do,and the equation C(R iπ)=R iπhas no solution.5Concluding Remarks1.The transpose defined in Figure3above coincides with the restriction to NC par-titions of the conjugate[5]defined on all partitions of[n].In particular,the algo-rithmic definition of conjugate given in[5]provides a practical way to compute the transpose.2.An analog of Theorem2appears to hold for arbitrary partitions:the number ofself-complementary rotation classes of partitions on[n]coincides with the number of self-complementary partitions of[n].The proof of Lemma1goes through unchanged(it does not use the NC property).Unfortunately,the conjugate does not serve in the role of transpose to interchange the two relevant families in this larger setting,and it would be interesting to find an extension of the transpose that does.3.Figures 4and 5show the 28bijective pairs (by geographic position)of NCPP’s and bicolored plane trees for n =6.To avoid clutter,only one leaf per tree displays its color.Singleton (yellow)leaves are colored “0”;adjacency (white)leaves are colored“1”.Figure 4:NC Patterns,n=6Figure 5:Bicolored 6-edge plane treesAppendix:Enumeration Formula for Unlabeled NC Parti-tions and Bicolored Plane Trees(almost ab initio)The partitions of the set[n]={1,2,...,n}(the decompositions of[n]as a union of pairwise-disjoint,non-empty subsets)are counted by the sequence of Bell numbers. If the elements of[n]are regarded as the set of labels of n otherwise indistinguishable objects,the unlabeled enumeration of partitions of these objects is the same as counting the partitions of the integer n.Non-crossing partitions(cf.Introduction)are beautiful,and have been closely studied. Motzkin noted[9,last sentence]that the number of labeled non-crossing partitions,as a function of n,satisfies the Catalan recurrence,and in fact these are counted by the sequence of Catalan numbers.In the unlabeled case,there are two candidate sequences:the leading one regards the circle as embedded in a plane with the points evenly spaced and counts non-crossing partitions inequivalent under rotations of the circle(these are the NC Partition Patterns); the second identifies two partition classes counted in thefirst which are the same after reflection across a diameter of the circle(we might call these classes chirally inequivalent NC Partition Patterns).Motzkin[9,penultimate sentence]gave the beginning of the latter sequence as1,2,3,6,9,24.This contains an(almost certainly clerical)error:the value for n=5should be10,not9.Because the“label/unlabel”paradigm has been invoked,the sequence NCP P(n)fits into one of at least two competing enumerative analogies:if the circle is discarded en-tirely,then Bell numbers:partitions of n::Catalan numbers:NCP P(n);if only the NC requirement is relaxed,then Bell:possibly crossing partition patterns(A084423):: Catalan:NCP P(n).The essential fact needed in the direct enumeration of NC partition patterns was proven by V.Reiner[10]:if n=kd,k≥2,and the points are labelled a1,a2,...,a n,then the number of NC partitions having the property“a i and a j are in the same part if and only if a i+d(mod n)and a j+d(mod n)are in the same part”is 2d d .We refer to such NC partitions as d-clickable(suggested by analogy to clicking a physical dial with n positionsthrough d positions and arriving at the same partition).Reiner gives two proofs;for theconvenience of the reader we informally describe the bijection used in one of ing k distinct colors for the a’s,relabel the points consecutively to make k monocolor intervals subscripted1,...,d.Consider the’unwrapped’doubly-infinite sequence...a d−1,a d,a1,a2,...,a d,A1,...,A d,a1,a2.........,a d−1,a d,a1,...(here font/case is used to denote color).On the circle,find a part of the partition,say of size p,consisting entirely of a consecutive set of points.This will always be possible for an NC partition.In a set L place the subscript of thefirst(clockwise)element in the chosen part,and in a set R the subscript of the last.This will be possible if the part is proper.Remove all elements with subscripts equal to those in this part from the doubly-infinite sequence and from the circle.The resulting sequence still consists of equal length monocolor intervals in the k colors,and(after equispacing the remaining points on the circle)is(d−p)-clickable.Repeat the process until no such proper part remains to be chosen,at which time the sets L and R are equinumerous,but otherwise arbitrary, subsets of[d].The number of ways of specifying such an L and R is easily seen to be 2d d .To reverse the process,consider a copy of the original doubly-infinite sequence and for each element of L(resp.R)place a Left(resp.Right)parenthesis to the left(resp. right)of each symbol in the sequence with subscript equal to this element.When L and R are exhausted the partition may be decoded from the parenthesized string in the usual manner.Figure6displays a partition of[24]which is3-,6-,and12-clickable(we use partitioning walls instead of polygons for viewability).The generator(click)σof Z24may be thought of as a rotation of the diagram through2π/24leaving the labels in place.The pictured partition is then afixed point ofσ3i,i=0,...,7.As one of the 63 3-clickables,it isafixed point of all of these,includingσ3,σ9,σ15,andσ21.As one of the superset of 126 6-clickables,(cf Figure7),it may not be invariant under those4rotations,but it must be afixed point ofσ6,andσ18,while as one of the 2412 12-clickables,it need only be an invariant of{σ12,σ0}.These considerations generalize succinctly in the following enumeration.11Figure6:A3-clickable partitionFigure7:A6-clickable partition,not 3-clickableTheorem3.The number of NC Partition Patterns of n points on a circle is1n+1 2n n + 1≤i<ni|nφ(ni,and these numberφ(nThe enumeration of bicolored plane trees predates,and thus confirms,Theorem3. The number of(free)plane trees on n edges is known to beFPT(n):=1d) 2d d −(C n−C n−12,see(A002995).Here and below C m is understood to be0if m is not an integer,and the term involving Catalan numbers is an integer because C m is odd iff the integer m has the form2k−1.The size of a plane tree is its number of edges.The subtrees of a vertex are the plane trees obtained by deleting the vertex and its incident edges.A center of a plane tree is a vertex v that minimizes max{size(T):T a subtree of v}.A plane tree either has a unique center or two adjacent centers.Deleting the connecting edge in the latter case leaves two ordered trees.Symmetry then implies that the number of bicolored plane tree on n edges is2FPT(n)−C n−1n NC Dihedral Classesor NCPP’s(A054357+A001405)/2112033605102847491906093361708728112904174288252 132943219128093924 1532639922106701098900 1738252382653829213244836 1946553116328215300164015272 2158270669241583304162078812492 References[1]N.Adrianov and A.Zvonkin,Composition of plane trees,Acta Applicandae Mathe-maticae52,Numbers1-3,July1998,239–245.[2]Miklos Bona,Michel Bousquet,Gilbert Labelle and Pierre Leroux,Enumeration ofm-ary cacti,Advances in Applied Mathematics,24(2000),22–56.[3]Michel Bousquet,Quelques r`e sultats sur les cactus planaires,Annales des SciencesMathematiques du Quebec,24(2000)No.2.p.107-128.14[4]Mireille Bousquet-M´e lou,Combinatorics in Bordeaux,www.mat.univie.ac.at/ slc/wpapers/s34bordeaux。

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