2007) Generalized solution concepts in games with possibly unaware players, mimeo
类圆曲线及其性质研究
5 结论本文提出了对含部件选择性失效传播的复杂可修系统进行可靠性与可用性计算的M C S C A 集成算法,给出了计算可靠性㊁瞬时可用性㊁区间可用性㊁平均维修时间以及平均单位时间维修次数五个指标的算法具体步骤,并最终通过实例具体说明了算法的应用㊂本文提出的算法解决了传统方法面临的两个主要问题,一是传统方法只能解决考虑部件选择性失效传播的简单系统可靠性问题,对于不能转化为串并联结构的复杂系统则无能为力,二是传统方法没有考虑系统的维修性,因此,对于复杂可修系统的可靠性与可用性评估传统方法也无从下手㊂本文提出的算法利用了计算机模拟的优势,并借鉴了具有并行计算能力的元胞自动机的思想,为含部件选择性失效传播的复杂可修系统的可靠性与可用性分析提供了一条有效的思路㊂参考文献:[1] L e v i t i nG,X i n g LD.R e l i a b i l i t y a n dP e r f o r m a n c eo fM u l t i s t a t e S y s t e m s w i t h P r o p a g a t e d F a i l u r e sH a v i n g S e l e c t i v eE f f e c t[J].R e l i a b i l i t y E n g i n e e r i n ga n dS y s t e mS a f e t y,2010,95(6):655‐661.[2] L e v i t i nG,X i n g LD,B e n‐H a i m H,e t a l.M u l t i‐s t a t eS y s t e m sw i t hS e l e c t i v eP r o p a g a t e dF a i l u r e s a n d I m-p e r f e c t I n d i v i d u a l a n dG r o u p P r o t e c t i o n s[J].R e l i a-b i l i t y E n g i n e e r i n g a n dS y s t e mS a f e t y,2011,96(12):1657‐1666.[3] G o b l eW M,B r o m b a c h e rAC,B u k o w s k i JV.U s i n gS t r e s s‐s t r a i nS i m u l a t i o n st o C h a r a c t e r i z eC o mm o nC a u s e[M].N e w Y o r k:S p r i n g e r,1998.[4] R o y D,D a s g u p t aT.A D i s c r e t i z i n g A p p r o a c h f o rE-v a l u a t i n g R e l i a b i l i t y o f C o m p l e x S y s t e m s u n d e rS t r e s s‐s t r e n g t h M o d e l[J].I E E E T r a n s a c t i o n so nR e l i a b i l i t y,2001,50(2):145‐150.[5] M y e r sA.K‐o u t‐o f‐N:GS y s t e m R e l i a b i l i t y w i t h I m-p e r f e c tF a u l tC o v e r a g e[J].I E E E T r a n s a c t i o n so nR e l i a b i l i t y,2007,56(3):464‐473.[6] X i n g L D.R e l i a b i l i t y E v a l u a t i o no fP h a s e d‐M i s s i o nS y s t e m sw i t hI m p e r f e c tF a u l tC o v e r a g ea n d C o m-m o n‐c a u s eF a i l u r e s[J].I E E ET r a n s a c t i o n s o nR e l i a-b i l i t y,2007,56(1):58‐68.[7] X i n g LD,D u g a n JB,M o r r i s s e t t eBA.E f f i c i e n tR e-l i a b i l i t y A n a l y s i so fS y s t e m s w i t h F u n c t i o n a lD e-p e n d e n c eL o o p s[J].M a i n t e n a n c ea n d R e l i a b i l i t y,2009,43(3):65‐69.[8] 王正,谢里阳,李兵,等.共因失效系统动态可靠性模型[J].中国机械工程,2008,19(1):5‐9.W a n g Z h e n g,X i eL i y a n g,L iB i n g,e ta l.T i m e‐d e-p e n d e n tR e l i a b i l i t y M o d e l o fS y s t e m w i t hC o mm o nC a u s eF a i l u r e[J].C h i n a M e c h a n i c a lE n g i n e e r i n g,2008,19(1):5‐9.[9] 李春洋,陈循,易晓山.考虑共因失效的多态系统可靠性优化[J].中国机械工程,2010,21(2):155‐159.L i C h u n y a n g,C h e n X u n,Y i X i a o s h a n.R e l i a b i l i t yO p t i m i z a t i o no f M u l t i‐s t a t eS y s t e mi nP r e s e n c eo fC o mm o nC a u s eF a i l u r e s[J].C h i n aM e c h a n i c a l E n g i-n e e r i n g,2010,21(2):155‐159.[10] W a n g C N,X i n g L D,L e v i t i nG.P r o p a g a t e dF a i l-u r eA n a l y s i s f o rN o n‐r e p a i r a b l e S y s t e m sC o n s i d e r-i n g B o t hG l o b a l a n dS e l e c t i v eE f f e c t s[J].R e l i a b i l i-t y E n g i n e e r i n g a n d S y s t e m S a f e t y,2012,99:96‐104.[11] 尹晓伟,钱文学,谢里阳.基于贝叶斯网络的系统可靠性共因失效模型[J].中国机械工程,2009,20(1):90‐94.Y i n X i a o w e i,Q i a n W e n x u e,X i eL i y a n g.C o mm o nC a u s eF a i l u r e M o d e lo fS y s t e m R e l i a b i l i t y B a s e do nB a y e s i a nN e t w o r k s[J].C h i n a M e c h a n i c a lE n g i-n e e r i n g,2009,20(1):90‐94.[12] A g g a r w a lK,G u p t aJ,M i s r aK.A S i m p l e M e t h o df o rR e l i a b i l i t y E v a l u a t i o n o f aC o mm u n i c a t i o nS y s-t e m[J].I E E E T r a n s a c t i o n so n C o mm u n i c a t i o n s,1975,23(5):563‐566.[13] Y e h W C.A R e v i s e dL a y e r e d‐n e t w o r k A l g o r i t h mt oS e a r c hf o r A l ld‐m i n p a t h so fa L i m i t e d‐f l o wA c y c l i cN e t w o k[J].I E E E T r a n s a c t i o n so n R e l i a-b i l i t y,1998,47(4):436‐442.[14] A v e n T.A v a i l a b i l i t y E v a l u a t i o no fO i l/G a sP r o-d u c t i o na n dT r a n s p o r t a t i o nS y s te m s[J].R e l i a b i l i t yE n g i n e e r i n g,1987,18(2):35‐44.[15] B i l l i n t o n R,A l l a n R N.R e l i a b i l i t y E v a l u a t i o no fE n g i n e e r i n g S y s t e m s,C o n c e p t s a n d T e c h n i q u e s[M].N e w Y o r k:P l e n u m P r e s s,1992. [16] F i s h m a nGS.A C o m p a r i s o no fF o u rM o n t eC a r l oM e t h o d s f o rE s t i m a t i n g t h eP r o b a b i l i t y o f s‐t C o n-n e c t e d n e s s[J].I E E E T r a n s a c t i o n so n R e l i a b i l i t y,1986,35(2):145‐155.[17] Y e h W C,L i nYC,C h u n g YY.P e r f o r m a n c eA n a l-y s i s o fC e l l u l a rA u t o m a t a M o n t eC a r l oS i m u l a t i o nf o r E s t i m a t i ng N e t w o r k R e l i a b i l i t y[J].E x p e r tS y s t e m s w i t h A p p l i c a t i o n s,2010,37(5):3537‐3544.[18] Z i o E,P o d o f i l l i n iL,Z i l l e V.A C o m b i n a t i o n o fM o n t eC a r l oS i m u l a t i o na n dC e l l u l a rA u t o m af o rC o m p u t i n g t h e A v a i l a b i l i t y o fC o m p l e x N e t w o r kS y s t e m s[J].R e l i a b i l i t y E n g i n e e r i n g a n d S y s t e mS a f e t y,2006,91(2):181‐190.[19] D e m i r S.R e l i a b i l i t y o fC o m b i n e dk‐o u t‐o f‐na n d㊃3231㊃存在共因失效的复杂可修系统可靠性评估 阮渊鹏 何 桢 张旭涛等Copyright©博看网. All Rights Reserved.C o n s e c u t i v ek (c )‐o u t ‐o f ‐nS y s t e m so fM a r k o vD e -p e n d e n tC o m p o n e n t s [J ].I E E ET r a n s a c t i o n so nR e -l i a b i l i t y,2009,58(4):691‐693.[20] G u oH T ,Y a n g X H.A u t o m a t i cC r e a t i o n o fM a r k -o v M o d e l s f o rR e l i a b i l i t y A s s e s s m e n t o f S a f e t y I n -s t r u m e n t e d S y s t e m s [J ].R e l i a b i l i t y E n g i n e e r i n g a n dS y s t e mS a f e t y,2008,93(6):829‐837.[21] X i a oG ,L i ZZ .E s t i m a t i o no fD e p e n d a b i l i t y M e a s -u r e s a n dP a r a m e t e r S e n s i t i v i t i e s o f aC o n s e c u t i v e ‐k‐o u t ‐o f ‐n :F R e p a i r a b l eS y s t e m w i t h (k-1)‐s t e p M a r k o v D e p e n d e n c e b y S i m u l a t i o n [J ].I E E E T r a n s a c t i o n s o nR e l i a b i l i t y ,2008,57(1):71‐83.[22] M a r q u e z A C ,H e g u e d a s A S ,L u n g B .M o n t e C a r l o ‐b a s e d A s s e s s m e n t o f S y s t e m A v a i l a b i l i t y[J ].R e l i a b i l i t y E n g i n e e r i n g a n d S y s t e m S a f e t y,2005,88(3):273‐289.[23] D u r g oR a oK ,G o p i k aV ,S a n ya s i R a oV VS ,e t a l .D y n a m i cF a u l tT r e e A n a l y s i s U s i n g Mo n t eC a r l o S i m u l a t i o n i nP r o b a b i l i s t i cS a f e t y A s s e s s m e n t [J ].R e l i a b i l i t y E n g i n e e r i n g a n dS y s t e mS a f e t y ,2009,94(4):872‐883.(编辑 王艳丽)作者简介:阮渊鹏,男,1985年生㊂天津大学管理与经济学部博士研究生,杭州电子科技大学管理学院讲师㊂主要研究方向为质量与可靠性工程㊂发表论文8篇㊂何 桢,男,1967年生㊂天津大学管理与经济学部教授㊁博士研究生导师㊂张旭涛,1981年生㊂天津大学管理与经济学部博士研究生,军事交通学院装备保障系讲师㊂张 驰,1988年生㊂天津大学管理与经济学部博士研究生㊂类圆曲线及其性质研究陈 明 刘延平哈尔滨工业大学,哈尔滨,150001摘要:对偏心圆节曲线非圆齿轮传动和椭圆节曲线非圆齿轮传动的关键设计参数偏心率e 和离心率ε分别进行了分析㊂在椭圆曲线的基础上,通过改变极坐标极点,得到了一种新型的封闭曲线类圆曲线,它可以看作是更广义的椭圆曲线或偏心圆曲线㊂针对一般意义的椭圆曲线和偏心圆曲线只是类圆曲线的两种特殊类型的情况,在类圆曲线的数学表达式中,引入了两个关键设计参数偏心率e 和离心率ε,建立了具有不同性质的非圆齿轮节圆曲线方程㊂研究发现,偏心率e 可以确定类圆曲线的最小和最大向径,离心率ε可以确定类圆曲线的形状㊂类圆曲线非圆齿轮传动具有与偏心圆齿轮和椭圆齿轮类似的传动特点,同时在设计上比偏心圆齿轮和椭圆齿轮更加灵活㊁方便㊂关键词:类圆曲线;偏心圆节曲线;椭圆节曲线;非圆齿轮中图分类号:T H 3 D O I :10.3969/j.i s s n .1004-132X.2014.10.010S t u d y o n Q u a s i -c i r c u l a rC u r v e a n d I t s P r o pe r t i e s C h e n M i n g L i uY a n p i n gH a r b i n I n s t i t u t e o fT e c h n o l o g y,H a r b i n ,150001A b s t r a c t :T h i s p a p e r s t u d i e d t h e k e y d e s i g n p a r a m e t e r s ,t h e e c c e n t r i c i t yr a t i o e o f e c c e n t r i c c i r c u l a r c u r v e a n d t h e e c c e n t r i c i t y εo f e l l i p t i c c u r v e ,w h i c hw e r eu s e dc o mm o n l y f o rn o n ‐c i r c u l a r g e a r t r a n s -m i s s i o n .B y c h a n g i n g t h e p o l e o f t h e p o l a r c o o r d i n a t e s ,an e wt r a n s f o r m e de l l i pt i c c u r v en a m e d q u a s i ‐c i r c u l a r c u r v e c a nb e o b t a i n e d ,w h i c h c a nb e r e g a r d e d a s g e n e r a l i z e d e l l i p t i c c u r v e o r g e n e r a l i z e d e c c e n -t r i c c u r v e .A i m i n g a t t h a t t h eo r i g i n a l e l l i p t i c c u r v e a n de c c e n t r i c c u r v ew e r e j u s t s pe c i a l c a s e sof t h e q u a s i ‐c i r c u l a r c u r v e ,t w ok e y d e s ig n p a r a m e t e r s ,e c c e n t r i c i t y ra t i o e a n de c c e n t r i c i t y εw e r e i n t r o d u c e d i n t o t h em a t h e m a t i c a l e x p r e s s i o no f t h e q u a s i ‐c i r c u l a r c u r v e t ob u i l dan e we x p r e s s i o no f t h e p i tc ho f n o n ‐c i r c u l a r g e a r .T h e r e s e a r c h i nd i c a te s t h a t t h ee c c e n t r i c i t y r a t i od e t e r m i n e s t h em i n i m u ma n d t h e m a x i m u mr a d i u s of t h e q u a s i ‐c i r c u l a r c u r v e a n d t h e e c c e n t r i c i t y d e t e r m i n e s t h e s h a p e o f t h e q u a s i ‐c i r -c u l a r c u r v e .T h e q u a s i ‐c i r c u l a r ge a r t r a n s m i s s i o n h a s t h e c h a r a c t e r i s t i c s s i m i l a r t o t h e e c c e n t r i c c i r c u l a r g e a r s a n de l l i p t i c g e a r s ,b u t i t i sm o r ef l e x i b l e a n d c o n v e n i e n t t od e s i gn .K e y wo r d s :q u a s i ‐c i r c u l a r c u r v e ;e c c e n t r i c c i r c u l a r g e a r ;e l l i p t i c g e a r ;n o n ‐c i r c u l a r g e a r 0 引言偏心圆节曲线非圆齿轮传动和椭圆节曲线非收稿日期:2012 10 08圆齿轮传动在机械系统中常常分别作为典型传动形式应用[1‐3]㊂但是,从几何学的角度来看,偏心圆和椭圆之间有着密切的渊源关系㊂通过研究椭㊃4231㊃中国机械工程第25卷第10期2014年5月下半月Copyright ©博看网. All Rights Reserved.圆和偏心圆曲线之间的渊源关系,可以揭示与椭圆和偏心圆曲线具有统一数学表达形式的一族曲线的性质㊂为了叙述方便,把这一族曲线称为 类圆曲线”㊂把 类圆曲线”应用到非圆齿轮传动中,可以使非圆齿轮传动的设计更加方便和灵活㊂1 偏心圆㊁椭圆节曲线的数学模型1.1 偏心圆齿轮的节曲线图1 偏心圆齿轮的节曲线图1所示为偏心圆齿轮的节曲线㊂点C 是该节曲线的圆心,点O 1是偏心圆齿轮的回转中心,a 是该节曲线的半径,r 1是该节曲线的向径㊂该偏心圆齿轮的偏心距为E =O 1C(1)由此,可以写出偏心圆齿轮节曲线的极坐标方程[4]:r 1=a 2-E 2s i n 2φ1-E c o s φ1(2)为了研究问题方便,经常把式(2)写成以下形式:r 1=a (1-e 2s i n 2φ1-e c o s φ1)(3)式中,e 为偏心率,e =E a㊂偏心圆齿轮的节曲线虽然从形状上看是一个圆,但是节曲线上的各点到回转中心的距离不相同㊂当偏心圆齿轮与另外一个齿轮啮合,中心距为常数时,这个齿轮的节曲线为非圆曲线,这两个齿轮的速比也不是常数㊂因此,偏心圆齿轮在传动中所表现出来的特征与非圆齿轮相同㊂为叙述方便,把非圆齿轮节曲线上距离回转中心最近的点称为节曲线的 近端点”,距离回转中心最远的点称为节曲线的 远端点”㊂1.2 变形偏心圆曲线把偏心圆齿轮节曲线的极坐标方程(式(2))写成如下形式:r 1=a [1-e 2s i n 2(n 1φ1)-e c o s (n 1φ1)](4)式中,n 1为变形偏心圆曲线的叶(支)数,为正整数㊂显然,该函数周期为2π/n 1[4]㊂当n 1=1时,式(4)与式(3)一样,所表达的是一个偏心圆㊂当n 1>1时,式(4)所表达的曲线称为变形偏心圆㊂图2为n 1=3时的变形偏心圆曲线,图3㊁图4分别为相应的相对向径(r 1/a )和相对曲率(a /ρ1)变化曲线㊂如图2~图4所示,随着偏心率的增大,变形偏心圆曲线的叶形变得越来越扁长,变形偏心圆的最大向径增大而其最小向径减小;当偏心率为零时,变形偏心圆曲线的相对曲率(a /ρ1)为常数1,也就是说,此时变形偏心圆是一个圆㊂随着偏心率的增大,变形偏心圆曲线的相对曲率(a /ρ1)发生较大变化,偏心率越大,相对曲率变化越剧烈㊂在最大向径(远端)附近,相对曲率变化较平缓,在最小向径(近端)附近,相对曲率变化较剧烈㊂1.e =02.e =0.23.e =0.44.e =0.65.e =0.8图2 偏心率对变形偏心圆曲线(n 1=3)的影响1.e =0 2.e =0.2 3.e =0.4 4.e =0.6 5.e =0.8图3 变形偏心圆曲线(n 1=3)的相对向径1.e =0 2.e =0.2 3.e =0.4 4.e =0.6 5.e =0.8图4 变形偏心圆曲线(n 1=3)的相对曲率1.3 椭圆齿轮的节曲线图5所示是椭圆齿轮的节曲线,点C 是椭圆曲线的几何中心,点O 1是椭圆曲线的焦点也是椭圆齿轮的回转中心,a 是椭圆曲线的长半轴,b 是椭圆曲线的短半轴,c 是椭圆曲线的焦距㊂选焦点O 1为极坐标的极点,O 1p 为极坐标的极轴,则椭圆曲线的极坐标方程为[5]r 1=a (1-ε2)1+εc o s φ1(5)ε=ca =a 2-b 2a㊃5231㊃类圆曲线及其性质研究陈 明 刘延平Copyright ©博看网. All Rights Reserved.图5 椭圆齿轮的节曲线式中,ε为离心率㊂椭圆曲线是非圆齿轮传动中常用的一种节曲线,可以实现主动轮与从动轮节曲线相同的共轭传动[6‐7]㊂这在非圆齿轮传动中是不多见的㊂1.4 变形椭圆曲线把椭圆齿轮节曲线的极坐标方程(式(5))写成如下形式[8]:r 1=a (1-ε2)1+εc o s (n 1φ1)(6)式中,n 1为变形椭圆曲线的叶(支)数,为正整数㊂显然,该函数周期为2π/n 1㊂当n 1=1时,式(6)与式(5)一样,表达的是一个椭圆㊂椭圆曲线离心率越大,相对曲率的变化越剧烈,其近端和远端的相对曲率也越大㊂当n 1>1时,式(6)所表达的曲线称为变形椭圆曲线(即卵形曲线)㊂当n 1=3时,对应不同离心率的变形椭圆曲线如图6所示,变形椭圆曲线的相对向径(r 1/a )和相对曲率(a /ρ1)变化分别如图7㊁图8所示㊂由图6可以看出,随着离心率的增大,变形椭圆曲线的叶形变得越来越扁长;由图7可以看出,随着离心率的增大,变形椭圆曲线的最大向径增大而其最小向径减小;由图8可以看出,当离心率ε=0时,变形椭圆曲线的相对曲率(a /ρ1)为常数1,此时变形椭圆实际上是一个圆㊂随着离心率的增大,变形椭圆曲线的相对曲率(a /ρ1)发生较大变化,离心率越大,相对曲率变化越剧烈㊂在最大相对向径附近(远端),相对曲率变化较剧烈,在最小相对向径附近(近端),相对曲率变化较平缓㊂1.ε=02.ε=0.23.ε=0.44.ε=0.65.ε=0.8图6 离心率对变形椭圆曲线(n 1=3)的影响1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图7 变形椭圆曲线(n 1=3)的相对向径1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图8 变形椭圆曲线(n 1=3)的相对曲率2 偏心圆线与椭圆曲线性质的对比由上文分析可知,影响偏心圆曲线相对向径的关键因素是偏心圆曲线的偏心率e ,影响椭圆曲线相对向径的关键因素是椭圆曲线的离心率ε㊂因此,可以说影响偏心圆齿轮传动比的关键因素是其偏心率e ,影响椭圆齿轮传动比的关键因素是其离心率ε㊂非圆齿轮传动比的计算公式为[9]i =A -r 1r 1(7)式中,A 为非圆齿轮传动的中心距;r 1为主动轮节曲线向径;i 为传动比㊂传动比的最大值发生在主动轮的近端点,即i m a x =A -r m i n 1r m i n 1(8)传动比的最小值发生在主动轮的远端点,即i m i n =A -r m a x 1r m a x 1(9)最大最小传动比差值为Δi =i m a x -i m i n =A (r m a x 1-r m i n 1)r m i n 1r m a x 1(10)对于偏心圆节曲线,根据式(3),得到其最大向径为r m a x 1=a (1+e )(11)最小向径为r m i n 1=a(1-e )(12)把式(11)㊁式(12)代入式(10)得偏心圆齿轮传动的最大最小传动比差为㊃6231㊃中国机械工程第25卷第10期2014年5月下半月Copyright ©博看网. All Rights Reserved.Δi=2A ea(1-e2)(13)对于椭圆节曲线,根据式(5),得到其最大向径为r m a x1=a(1+ε)(14)最小向径为r m i n1=a(1-ε)(15)把式(14)㊁式(15)代入式(10)得椭圆齿轮传动的最大最小传动比差为Δi=2Aεa(1-ε2)(16)由式(13)㊁式(16)可以看出,偏心圆齿轮传动和椭圆齿轮传动的最大最小传动比差分别受到偏心率和离心率的影响,并且这种影响程度是相同的㊂但是,偏心圆齿轮传动的偏心率e仅影响传动比,不影响偏心圆节曲线的形状;而椭圆齿轮传动的离心率ε不仅影响其传动比,还影响椭圆节曲线的形状[10]㊂3 变形偏心圆曲线与变形椭圆曲线性质的对比通过对1.2节中变形偏心圆曲线与1.4节中变形椭圆曲线的性质进行对比可以发现,两种曲线的性质既有相同点又有差异,具体如表1所示㊂表1 变形偏心圆与变形椭圆曲线性质对比相同点叶数n1等于曲线远端点数目和近端点数目远端点极角φ1=180°n1+(j-1)360°n1j=1,2, ,n1近端点极角φ1=(j-1)360°n1j=1,2, ,n1曲线的向径变化趋势在变形偏心圆曲线与变形椭圆曲线的远端点和近端点之间,曲线的向径均为单调增大或单调减小偏心率e(离心率ε)对远近端的影响随着e(ε)的增大,变形偏心圆曲线(变形椭圆曲线)的远端越远,近端越近偏心率e(离心率ε)对相对曲率的影响随着e(ε)的增大,变形偏心圆曲线(变形椭圆曲线)的远端相对曲率增大,近端相对曲率由正变负,且其绝对值越来越大偏心率e(离心率ε)对叶形的影响变形偏心圆曲线(变形椭圆曲线)的e(ε)越大,曲线的叶形越扁长㊂不同点偏心率e(离心率ε)对相对曲率变化率的影响随着e的增大,变形偏心圆曲线的远端相对曲率变化较平缓并变得更加丰满圆润,近端相对曲率变化剧烈㊂随着ε的增大,变形椭圆曲线的远端相对曲率变化剧烈并急剧变尖,近端相对曲率变化较为平缓㊂通过对比变形偏心圆曲线和变形椭圆曲线的性质发现,在偏心率e较大时,变形偏心圆曲线的近端凹陷较剧烈,致使变形偏心圆曲线不能用作非圆齿轮的节曲线;在离心率ε较大时,变形椭圆曲线的远端变尖较剧烈,致使变形椭圆曲线不能用作非圆齿轮的节曲线㊂如果能够把变形偏心圆曲线和变形椭圆曲线的这种性质综合在一起,得到一种新型曲线,使得偏心率e或离心率ε较大时,曲线的远端变化类似变形偏心圆曲线,而曲线的近端变化类似变形椭圆曲线,那么这种新型曲线将会给非圆齿轮节曲线的设计带来很大的方便性和灵活性[11]㊂4 类圆曲线的数学模型图9所示为椭圆曲线,点O是椭圆曲线的几何中心,点C1㊁点C2是椭圆曲线的焦点,点O1是椭圆齿轮的回转中心,a是椭圆曲线的长半轴,b图9 椭圆齿轮的节曲线是椭圆曲线的短半轴,c是椭圆曲线的焦距,E是椭圆齿轮的偏心距㊂选回转中心O1为极坐标的极点,O1p为极坐标的极轴,则椭圆曲线的极坐标方程为r1=a(1-ε2)(1-ε2c o s2φ1-e2s i n2φ1)1-ε2c o s2φ1-a e(1-ε2)c o sφ11-ε2c o s2φ1(17)当令式(17)中的离心率ε=0时,则式(17)退化成式(3);当令式(17)中的偏心率e=ε时,则式(17)退化成式(5)㊂由此可见,偏心圆曲线和椭圆曲线是式(17)的特殊情况;当式(17)中ε≠0,e≠ε时,式(17)所表示的曲线具有偏心圆曲线和椭圆曲线均不具备的特性㊂由于式(17)所表达的曲线与偏心圆曲线和椭圆曲线既有渊源关系又有不同的特性,因此,把这类曲线称为类圆曲线㊂实际上,当式(17)中ε=0,e=0时,式(17)所表达的曲线是一个圆㊂类圆曲线也可以像偏心圆曲线和椭圆曲线那样,在其表达式的自变量前乘以一个正整数以实现变形,其表达式为㊃7231㊃类圆曲线及其性质研究 陈 明 刘延平Copyright©博看网. All Rights Reserved.r 1=a(1-ε2)[1-ε2c o s 2(n 1φ1)-e 2s i n 2(n 1φ1)]1-ε2c o s 2(n 1φ1)-a e (1-ε2)c o s (n 1φ1)1-ε2c o s 2(n 1φ1)(18)当n 1=1时,式(18)与式(17)所表达的曲线相同㊂当偏心率e =0,离心率ε=0㊁0.4㊁0.6㊁0.7㊁0.8时,类圆曲线如图10所示,类圆曲线的相对向径(r 1/a )变化如图11所示,类圆曲线的相对曲率(a /ρ1)变化如图12所示㊂由图10可以看出,随着离心率的增大,类圆曲线变得越来越扁,且极坐标系的极点O 1在曲线的几何中心㊂由图11可以看出,类圆曲线的最大相对向径出现在极角φ1=0°和180°时,并且最大相对向径不随离心率ε的变化而变化;类圆曲线的最小相对向径出现在极角φ1=90°和270°时,并且最小相对向径随离心率ε的增大而减小㊂由图12可以看出,类圆曲线的最大相对向径处的相对曲率,随着离心率ε的增大而增大;类圆曲线的最小相对向径处的相对曲率,随着离心率ε的增大而减小㊂由图10~图12可以看出,当离心率ε=0时,类圆曲线实际上就是一个圆㊂因此可以说,圆是类圆曲线的一种特殊情况㊂1.ε=02.ε=0.23.ε=0.44.ε=0.65.ε=0.8图10 离心率对类圆曲线(n 1=1,e =0)的影响1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图11 类圆曲线(n 1=1,e =0)的相对向径当n 1=1,偏心率e =0.2,离心率分别取ε=0㊁0.4㊁0.6㊁0.7㊁0.8时,类圆曲线如图13所示,类圆曲线的相对向径(r 1/a )变化如图14所示,类圆曲线的相对曲率(a /ρ1)变化如图15所示㊂由图13可以看出,随着离心率的增大,类圆曲线变得越来1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图12 类圆曲线(n 1=1,e =0)的相对曲率1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图13 离心率对类圆曲线(n 1=1,e =0.2)的影响1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图14 类圆曲线(n 1=1,e =0.2)的相对向径1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图15 类圆曲线(n 1=1,e =0.2)的相对曲率越扁,且极坐标系的极点O 1偏离曲线的几何中心㊂由图14可以看出,类圆曲线的最小相对向径在离心率ε较小时,出现在极角φ1=0°时,但是,随着离心率ε的增大,最小相对向径出现的位置发生了变化;类圆曲线的最大相对向径出现在极角φ1=180°时,并且最大相对向径不随离心率ε的变化而变化㊂由图15可以看出,类圆曲线的最㊃8231㊃中国机械工程第25卷第10期2014年5月下半月Copyright ©博看网. All Rights Reserved.大相对向径附近的相对曲率,随着离心率ε的增大而增大,最小相对向径附近的相对曲率,随着离心率ε的增大而减小㊂由图13~图15可以看出,当离心率ε=0时,类圆曲线实际上就是一个偏心圆㊂通过对上述两种单叶(n 1=1)类圆曲线的分析可知,上述两种类圆曲线实际上都是椭圆曲线㊂只不过描述这两种椭圆曲线的极坐标系的极点O 1不像通常那样处在椭圆的焦点上,而是处在椭圆的长轴上,其到椭圆几何中心的距离为a e (椭圆长半轴a 与偏心率e 的乘积)㊂所谓类圆曲线实质上是在椭圆曲线的数学表达式中引入了新的参数 偏心率e ,用偏心率e 描述极坐标系极点到其几何中心的距离,而离心率ε则只用来描述椭圆曲线的形状,即椭圆 扁”的程度㊂而普通椭圆曲线只有一个参数离心率ε,它不仅用来描述椭圆 扁”的程度,还要用来描述椭圆曲线极坐标系极点到其几何中心的距离㊂当n 1=2,偏心率e =0,离心率ε=0㊁0.4㊁0.6㊁0.7㊁0.8时,类圆曲线如图16所示,类圆曲线的相对向径(r 1/a )变化如图17所示,类圆曲线的相对曲率(a /ρ1)变化如图18所示㊂由图16可以看出,随着离心率的增大,类圆曲线的叶形变得越来越扁,且极坐标系的极点O 1位于曲线的几何中心㊂由图17可以看出,类圆曲线的最小相对向径出现在极角φ1=45°㊁135°㊁225°㊁315°时,且最小相对向径随着随离心率ε的增大而减小;类圆曲线的最大相对向径出现在极角φ1=0°㊁90°㊁180°㊁270°时,并且最大相对向径不随离心率ε的变化而变化㊂由图18可以看出,类圆曲线的最大相对向径附近的相对曲率,随着离心率ε的增大而增大,最小相对向径附近的相对曲率,随着离心率ε的增大而减小㊂由图16~图18可以看出,当离心率ε=0时,类圆曲线实际上就是一个偏心圆㊂1.ε=02.ε=0.23.ε=0.44.ε=0.65.ε=0.8图16 离心率对类圆曲线(n 1=2,e =0)的影响当n 1=2,偏心率e =0.2,离心率ε=0㊁0.4㊁0.6㊁0.7㊁0.8时,类圆曲线如图19所示,类圆曲线1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图17 类圆曲线(n 1=2,e =0)的相对向径1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图18 类圆曲线(n 1=2,e =0)的相对曲率的相对向径(r 1/a )变化如图20所示,类圆曲线的相对曲率(a /ρ1)变化如图21所示㊂由图19可以看出,随着离心率的增大,类圆曲线的叶形变得越来越扁,且极坐标系的极点O 1位于曲线的几何中心㊂由图20可以看出,在离心率ε较小时,类圆曲线的最小相对向径出现在极角φ1=0°和180°时;但是,随着离心率ε的增大,最小相对向径出现的位置发生了变化;类圆曲线的最大相对向径出现在极角φ1=90°和270°时,并且最大相对向径不随离心率ε的变化而变化㊂由图21可以看出,类圆曲线的最大相对向径附近的相对曲率随着离心率ε的增大而增大,最小相对向径附近的相对曲率,随着离心率ε的增大而减小㊂1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图19 离心率对类圆曲线(n 1=2,e =0.2)的影响当n 1=3,偏心率e =0,离心率ε=0㊁0.4㊁0.6㊁0.7㊁0.8时,类圆曲线如图22所示,类圆曲线的相对向径(r 1/a )变化如图23所示,类圆曲线的相对曲率(a /ρ1)变化如图24所示㊂由图22可以看出,随着离心率的增大,类圆曲线的叶形变得越来㊃9231㊃类圆曲线及其性质研究陈 明 刘延平Copyright ©博看网. All Rights Reserved.1.ε=02.ε=0.23.ε=0.44.ε=0.65.ε=0.8图20 类圆曲线(n 1=2,e =0.2)的相对向径1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图21 类圆曲线(n 1=2,e =0.2)的相对曲率越扁,且极坐标系的极点O 1位于曲线的几何中心㊂由图23可以看出,类圆曲线的最小相对向径出现在极角φ1=30°㊁90°㊁150°㊁210°㊁270°㊁330°时,且最小相对向径随着随离心率ε的增大而减小;类圆曲线的最大相对向径出现在极角φ1=0㊁60°㊁120°㊁180°㊁240°㊁300°时,并且最大相对向径不随离心率ε的变化而变化㊂由图24可以看出,类圆曲线的最大相对向径附近的相对曲率,随着离心率ε的增大而增大,最小相对向径附近的相对曲率,随着离心率ε的增大而减小㊂由图22~图24可以看出,当离心率ε=0时,类圆曲线实际上就是一个偏心圆㊂1.ε=02.ε=0.23.ε=0.44.ε=0.65.ε=0.8图22 离心率对类圆曲线(n 1=3,e =0)的影响当n 1=3,偏心率e =0.2,离心率ε分别取0㊁0.4㊁0.6㊁0.7㊁0.8时,类圆曲线如图25所示,类圆曲线的相对向径(r 1/a )变化如图26所示,类圆曲线的相对曲率(a /ρ1)变化如图27所示㊂由图251.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图23 类圆曲线(n 1=3,e =0)的相对向径1.ε=0 2.ε=0.2 3.ε=0.4 4.ε=0.6 5.ε=0.8图24 类圆曲线(n 1=3,e =0)的相对曲率可以看出,随着离心率的增大,类圆曲线的叶形变得越来越扁,且极坐标系的极点O 1位于曲线的几何中心㊂由图26可以看出,在离心率ε较小时,类圆曲线的最小相对向径出现在极角φ1=0°㊁120°㊁240°时;但是,随着离心率ε的增大,最小相对向径出现的位置发生了变化;类圆曲线的最大相对向径出现在极角φ1=60°㊁180°㊁300°时,并且最大相对向径不随离心率ε的变化而变化㊂由图27可以看出,类圆曲线的最大相对向径附近的相对曲率随着离心率ε的增大而增大,最小相对向径附近的相对曲率随着离心率ε的增大而减小㊂1.ε=02.ε=0.23.ε=0.44.ε=0.65.ε=0.8图25 离心率对类圆曲线(n 1=3,e =0.2)的影响由上述分析可知,类圆曲线的最大相对向径的位置只与类圆曲线的叶数n 1有关,与离心率ε无关,可以称相对向径最大处为类圆曲线的远端㊂类圆曲线的最小相对向径的位置不仅与类圆曲线的叶数n 1有关,还与离心率ε有关㊂为了研㊃0331㊃中国机械工程第25卷第10期2014年5月下半月Copyright ©博看网. All Rights Reserved.1.ε=02.ε=0.23.ε=0.44.ε=0.65.ε=0.8图26 类圆曲线(n1=3,e=0.2)的相对向径1.ε=02.ε=0.23.ε=0.44.ε=0.65.ε=0.8图27 类圆曲线(n1=3,e=0.2)的相对曲率究问题方便,把离心率ε较小时的相对向径最小处称为类圆曲线的准近端,类圆曲线相对向径最小处称为类圆曲线的近端㊂综上所述,得到类圆曲线的性质如下: (1)类圆曲线的叶数n1分别等于曲线远端点数目和准近端点数目㊂(2)类圆曲线的远端点极角为φ1=180°n1+(j-1)360°n1(19)j=1,2, ,n1准近端点极角为φ1=(j-1)360°n1(20)j=1,2, ,n1(3)当离心率ε较小时,在类圆曲线的远端点和准近端点之间,曲线的相对向径是单调增大或单调减小的㊂随着离心率ε的增大,在类圆曲线的远端点和准近端点之间,曲线的相对向径不再单调增大或单调减小㊂(4)类圆曲线的远端点和准近端点不随离心率ε的变化而变化㊂(5)随着离心率ε的增大,类圆曲线的远端相对曲率增大,准近端相对曲率也增大,而其近端相对曲率由正变负,且其绝对值越来越大㊂(6)类圆曲线的离心率ε越大,曲线叶形越扁㊂(7)随着离心率ε的变化,类圆曲线的远端和准近端相对曲率的变化程度相近㊂根据上述分析,总结偏心圆曲线㊁椭圆曲线和类圆曲线的性质见表2㊂表2 偏心圆㊁椭圆㊁类圆曲线性质项目曲线类型偏心圆曲线椭圆曲线类圆曲线偏心距e有无有离心率ε无有有(准)近端位置φ1=(j-1)360°n1j=1,2, ,n近端位置与上相同与上相同与上不同远端位置φ1=180°n1+(j-1)360°n1j=1,2, ,n向径变化规律曲率变化规律近端→远端近端→远端准近端→远端单调增大单调增大ε较小时单调增大近端→远端近端→远端准近端→远端单调减小单调减小ε较小时单调减小近端近端准近端剧烈减小平缓减小较平缓增大远端远端远端平缓增大剧烈增大较平缓增大 把类圆曲线的远端点极角表达式(式(19))代入类圆曲线表达式(式(18))得类圆曲线的最大向径为r m a x1=a(1+e)(21)把准近端点极角表达式(式(20))代入类圆曲线表达(式(18))得类圆曲线的最小向径为r m i n1=a(1-e)(22)则类圆曲线作为节曲线的非圆齿轮传动的最大最小传动比差为Δi=2A ea(1-e2)(23)对比图22和图25可以看出,非圆齿轮类圆节曲线的最大向径只与偏心率e有关,与离心率ε无关;而其最小向径不仅与偏心率e有关,同时也受离心率ε的影响㊂同时,由式(23)也可以看出,类圆齿轮传动的最大最小传动比差主要受偏心率e的影响,离心率ε对其影响较小(式(23)中的中心距A与离心率ε有关)㊂这样,在设计类圆节曲线非圆齿轮时,可以通过改变偏心率e和离心率ε来确定类圆曲线的最小㊁最大向径及类圆曲线的形状,满足非圆齿轮的最大㊁最小传动比要求和非圆齿轮的传动比变化规律或非圆齿轮节曲线形状的要求㊂类圆节曲线非圆齿轮的设计,要比偏心㊃1331㊃类圆曲线及其性质研究 陈 明 刘延平Copyright©博看网. All Rights Reserved.。
GameTheory:博弈论
EE693H Fall2007Game TheoryTR,12:00pm–1:15pm,Holmes389Course InformationGame theory provides the most natural framework to study the strategic interactions between self-interested decision makers.Due to the emergence of distributed complex systems made up of many autonomous agents (such as the Internet),there has been a resurgence of interest in game theory within the engineering and the computer science communities.This course will introduce the students to the fundamentals of noncoopera-tive game theory as well as the computational tools provided by noncooperative game theory.Emphasis will be on the engineering applications such as control,communications,transportation systems,and resource allocation problems.The course is intended for mathematically inclined students with some background on probability theory.Instructor:G¨u rdal Arslan,Holmes440,Phone:956–3432,E-mail:*****************Office Hours:OpenRecommended Texts:Dynamic Noncooperative Game Theory by Bas.ar and OlsderGame Theory by Fudenberg and Tirole,Webpage:/∼gurdal/EE693H.htmSite of announcements,handouts,homeworks,etc.Grading:Homework30%;Mid-term35%;Project35%.Policies:No credit will be given to late homeworks.Exams must be taken at the announced times.(Tentative)Topics•Introduction(1Lecture)–Examples and various solution concepts•Zero-Sum Finite Games in Normal Form(2Lecture)–Security strategies–Lower and upper values–Saddle-point equilibrium–Mixed strategies–Minmax theorem–Computation of saddle-point equilibria by graphical solution and LP approaches–Dominated strategies–Iterative elimination of dominated strategies•Normal Form Games(6Lecture)–Pure and mixed strategies–Dominated strategies and solution by iterated dominance–Nash equilibrium–Pure equilibrium,Strict equilibrium–Examples of pure equilibrium(Cournot’s model of oligopoly,CDMA uplink power control)–Existence of mixed equilibria infinite normal games(Best response correspondence,Kakutani’s fixed point theorem)–Existence of pure equilibrium in infinite games with continuous payoffs(Quasi-concavity of player payoffs in its own decisions)–Sufficient conditions for the uniqueness of pure equilibrium in infinite games with continuous payoffs(Diagonal strict concavity condition)–Existence of mixed equilibrium in infinite games with continuous payoffs–Discontinuous games–Computation of Nash equilibria infinite normal-form games(algebraic approach,optimization approach)–Correlated equilibrium,coarse correlated equilibrium,correlated equilibrium with information partitions•Well-known Classes of Non-Zero-Sum Games(7Lecture)–Generalized ordinal potential games and existence of pure equilibria–Finite improvement property–Characterization of potential games–Weighted potential games–Congestion games–Inefficiency of Nash equilibria in congestion games,Tolls minimizing the total congestion,Braess’paradox–Price of anarchy and price of stability in congestion games–Infinite potential games–Efficiency loss in resource allocation games–(Weakly)acyclic games–Consensus problem–Supermodular games•Learning in games(8Lecture)–Cournot’s adjustment process–Fictitious play,Asymptotic behavior,Convergence of beliefs in certain classes of games,Shapley’s example,Lack of payoffconsistency,–Stochasticfictitious play,Payoffconsistency,Perturbed equilibria,Convergence of intended be-havior via stochastic approximation theory–Computation,memory,and observation requirements offictitious play–Regret based dynamics,Utility basedfictitious play–Finite memory variants offictitious play,Adaptive play,Elements of Markov processes,Perturbed Markov processes,Stochastic stability•Repeated Games•Auctions;Mechanism design;Incentive design•Games with incomplete/imperfect information;•Extensive form games•Dynamic games;Markov games。
BriefHistoryOfTRIZ
A BRIEF HISTORY OF TRIZValeri Souchkov, May 2008Sooner or later, almost everyone who seriously studies TRIZ and Systematic Innovation, starts wondering about a history of TRIZ: why there are so many TRIZ tools, what followed what, and how TRIZ has been evolving. Since a modern version of TRIZ has been developed by a really massive effort undertaken by many people during more than 50 years, it would be too difficult to mention every person who contributed to TRIZ and even all the tools which were proposed to be included to TRIZ. Nevertheless, such extensive historical studies are already being conducted by Vladimir Petrov [26,32] who presents evolution of several major TRIZ techniques in every detail (currently this work is being done in Russian).This article is not supposed to give a comprehensive overview of TRIZ evolution; instead it focuses on underlining most important dates and events which resulted in major TRIZ improvements and development of new TRIZ tools and techniques. Information for this article was taken from personal observations and communication [49], TRIZ literature, and V. Petrov’s work on the history of ARIZ [32].1946-1950:o G. Altshuller started developing TRIZ and conducting his first TRIZ training sessions.At this time he realized a key role of resolving a technical contradiction in order tocome up with an inventive solution.1950-1954:o In 1950, Altshuller wrote a letter to Soviet leader, I. Stalin, with a sharp critique of Soviet system of inventiveness. As a result he was imprisoned as a political prisoner.In 1954, he was released and rehabilitated.1956:o G. Altshuller and R. Shapiro published the article “About Technical Creativity” in the journal Questions of Psychology, #6, 37-49. 1956 [1]. It was the first official TRIZpublication, which introduced such concepts as technical contradiction, ideality,inventive system thinking (currently known as “System Operator” or “Multi-ScreenDiagram of Thinking”), the law of Technical System Completeness, and InventivePrinciples.o The same year the first algorithm to support a process for inventive solving problems was introduced, which included 10 steps and the first 5Inventive Principles (whichlater in 1963 became sub-principles of more general40 Inventive Principles asknown today), which were targeted for search for analogies. Extensive research ondiscovering new Inventive Principles begins.1956-1959:o The algorithm included 15 steps and 18 Inventive Principles(sub-principles); a step with “Ideal Final Result” was introduced.1963:o The term “ARIZ” was introduced, thus an improved algorithm was titled “ARIZ”. The algorithm included 18 steps and 7 inventive principles(with 39 sub-principles) [2].o Altshuller published the first system of the Laws of Technical Systems Evolution.1964:o The algorithm included 18 steps, 31 inventive principles, and the first version of the Matrix for Resolving Technical Contradictions with generalized technical parameters (16x16 parameters).1964-1968:o The next version of ARIZ included 25 steps, 35 inventive principles, and the Matrix for Resolving Technical Contradictions (32x32 parameters).o At this time, in addition to developing a tool for inventive problem solving, Altshuller and his associates put considerable attention to the development and teaching techniques for Creative Imagination Development[5](e.g. Method of Focal Objects, Fantograma, Operator“Size-Time-Cost”).o Altshuller also introduced definition of an “Ideal Machine”.1969:o G. Altshuller establishes AZOIIT(Azerbajdzhan Public Institute for Inventive Creativity) which becomes the first TRIZ training and research center in the USSR.o G. Altshuller establishes OLMI (a Public Laboratory of Invention Methodology): the first public open source initiative targeted at uniting efforts on developing TRIZ nationwide.1971:o ARIZ-71 included 35 steps, 40 inventive principles(with 88 sub-principles), and the Matrix for Resolving Technical Contradictions with 39x39 parameters (it is the same matrix for resolving technical contradictions which is still in the wide use today).ARIZ-71 was a major step in TRIZ development. It introduced Operator “Time-Size-Cost”, the first version of the Method of Little Men,and included references to physical effects for solving inventive problems.o At the same time, development of a Database of Physical Effects [4] had begun by Yuri Gorin, which linked generic technical functions with specific physical effects and phenomena.1974:o Establishing a St. Petersburg (ex USSR) School of TRIZ under chair of V. Mitrofanov, probably the most influential school of TRIZ in the exUSSR.1975:o A new approach to solving inventive problems was introduced: Substance-Field Modeling(also known as Su-field Modeling) and the first 5 Inventive Standards (which were later extended to 76 Inventive Standards [10]) were published by Altshuller.o ARIZ-75B included 35 steps, and introduced several new major TRIZ concepts: Physical Contradiction and Substance-Field Modeling(also known as Su-Field Modeling). Altshuller realized that to find most ideal technical solutions, it was not enough to use the Matrix of Resolving Technical Contradictions, which he considered although a refined, but still a variation of the trial and error method. Thus the Matrix of Resolving Technical Contradictions was excluded from the main text of ARIZ (only used as additional material), and all operations on solving inventive problems were targeted at formulation and elimination of a physical contradiction. 1977:o ARIZ-77 included 31 steps, and introduced the concepts of a physical contradiction at micro-level, a pair of conflicting components, operational time and operational zone. Although the Matrix of Resolving Technical Contradictions still remained as a part of ARIZ as an additional material, its use was limited.o18 Inventive Standards were presented.1979:o Altshuller publishes “Creativity as an Exact Science”, which is still considered as his major book [6].o At the same time Altshuller defined a Theory of Technical Systems Evolution (abbreviated TRTS in Russian) as a separate subject for study, and identified a number of Life Lines of Technical Systems which later became known as “9Laws of Technical Systems Evolution”.1982:o ARIZ-82included 34 steps, and introduced the concepts of “X-element” and a mini-problem, a table of Typical Conflicts, Principles for Resolving Physical Contradictions, Method of Little Men. The Matrix of Resolving Technical Contradictions and 40 Inventive Principles were completely excluded from ARIZ.Altshuller positioned ARIZ as a tool for solving “non-standard” inventive problems, while the remaining, “standard” inventive problems can be solved with Inventive Standards. It becomes clear that Inventive Standards were not separate stand-alone patterns for solving problems, but they mapped the Laws and Trends of Technology Evolution. Therefore newly emerging Inventive Standards incorporated the lines of technical systems evolution. Quite extensive research on Inventive Standards as well as on the Laws and Trends of Technology Evolution was conducted by the TRIZ community.o A system of 54Inventive Standards was presented.o Altshuller also initiated a new research into Biological Effects[8]which he considered as analogies of Physical Effects.o Extensions of TRIZ applications in other areas rather than technology began, such as arts [21] and mathematics [17].1985:o A major step in TRIZ evolution: appearance of ARIZ-85C[9,15]. Even today, it is the only officially accepted version of ARIZ. It included 32 steps, and introduced a number of new rules and recommendations, as well as put a special focus on using time, space, and substance-field resources to obtain most ideal solutions. References to Inventive Standards were introduced in several parts of ARIZ.o The system of Inventive Standards was organized in 5 classes accordingly a structure of technical systems evolution and included 76 Inventive Standards(which is still remains in use today).o In addition to the Database of Physical Effects, the Databases of Geometrical [12] and Chemical effects[14] were developed.o Altshuller concluded that ARIZ-85C was a complete tool for solving inventive problems, and did not need to be improved further very much since its application had been tested at thousands of real problems and proven to be effective. Now he considered further evolution of ARIZ and a Theory of Technical Systems Evolution asa major step towards OTSM(a Russian abbreviation for a “General Theory ofPowerful Thinking”).o At the same time, a group of TRIZ experts including B. Zlotin, S. Litvin and V.Guerassimov developed Function-Cost Analysis(FCA) [13] for analyzing technical systems and products, and a new extended version of TRIZ was titled “FCA-TRIZ”(currently Function-Cost Analysis is mostly referred as Function Analysis, and the term FCA-TRIZ is not in the wide use assuming that FCA is a part of TRIZ).o In parallel, research was conducted on the TRIZ Laws and Trends of Systems Evolution, which resulted in identifying a number of specific trends and lines of technology evolution.o An “officially” accepted version of FCA-TRIZ at that time included: ARIZ-85C, Databases of Physical, Chemical, and Geometrical effects,76 Inventive Standards,a system of Laws of Technology Evolution, Function Analysis,Functional Idealization (also known as “Trimming”).o New techniques Alternative Systems Merging, Subversion Analysis, Functional Analysis of Inventive Situations were proposed. Application of TRIZ tools was extended to the area of patent circumvention.1986:o Altshuller switched his attention from developing technical TRIZ to studying creative personality. Together with his associate, I. Vertkin, they studied a vast massive of biographies of outstanding creative people and started developing a “Theory of Creative Personality Development” (abbreviated TRTL in Russian), which identifies what types of contradictions creative people face during their lifetimes and how they resolve these contradictions.o A version of TRIZ for children was developed, and numerous experiments were conducted in schools and preschools.o If in the past TRIZ was mostly identified with ARIZ (both words used to be almost synonyms), which organized the use of different TRIZ techniques together, now some TRIZ techniques were often used independently (e.g. Inventive Standards, Physical Effects, etc).1989:o The first TRIZ software “Invention Machine™” was released by Invention Machine Labs (later evolved to “TechOptimizer™” and “Goldfire Innovator™” by Invention Machine Corp. [40]), which included Function Analysis, 40 Inventive Principles, Matrix of Resolving Technical Contradictions,76 inventive Standards, Databases of Physical, Chemical, and Geometric Effects, and Feature Transfer(Alternative Systems Merging). The software brought back the Matrix of Resolving Technical Contradictions as an independent tool due to its simplicity of use by TRIZ beginners(a modern version of software also includes Semantic Search Engine to index patentand document information according technical functions, and the Database of Effects now includes thousands of entries.)o At the same time a Database of Technological Effects[16] was demonstrated which links technical functions with specific technologies.o N. Khomenko started massive research within OTSM[18], which introduces principles and develops skills with domain-independent “powerful” thinking for kids and adults.o Russian TRIZ Association is established.1990:o Russian-language “Journal of TRIZ” is launched (discontinued in 1997 due to financial reasons, and re-launched in 2005).1990-1994:o G. Altshuller and I. Vertkin published the book “A Life Strategy of a Creative Person”[20], in which they summarized their work on the Theory of Creative PersonalityDevelopment.o A new TRIZ-based software package Innovation Workbench™was released in the US by Ideation International [39], which included the first TRIZ technique for causal modeling of inventive situations: Problem Formulator a nd a restructured database of Inventive Operators, based on Inventive Principles, Inventive Standards and Physical Effects(currently Ideation International offers a range of various TRIZ-related software packages).o A database of Biological Effects was published by V. Timokhov [19].1994-1998:o The Russian TRIZ Association becomes International TRIZ Association.o In 1998, G. Altshuller had passed away and further coordination of TRIZ developments almost disappeared.o The Online TRIZ Journal is launched in 1996 [36].1998-2004:o Different organizations with TRIZ expertise developed their own versions of TRIZ (I-TRIZ, TRIZ+, xTRIZ, CreaTRIZ, OTSM-TRIZ), thus a set of TRIZ tools developed under a guidance of Altshuller before 1998 is now titled “Classical TRIZ” to avoid confusion[22].o Creax (Belgium) releases the first version of “Innovation Suite” software [38].o Research and applications of TRIZ in other areas rather than technology continued (most developed today are TRIZ for Business and Management[29], OTSM-TRIZ for kids [33] and TRIZ for Pedagogy[24]).o Although officially abandoned from classical TRIZ, new versions of the Matrix for Solving Technical Contradictions emerge (e.g. Matrix 2003[27]), as well as adaptations of 40 Inventive Principles for the use in different application areas (business, arts, architecture, specific industries, etc. [36]). The Matrix and 40 principles still remain the most popular TRIZ tools, although their applicability is limited.o A simplified version of TRIZ, Systematic Inventive Thinking(SIT) [41] and its variations (e.g. ASIT: Advanced Systematic Inventive Thinking [44] and USIT: Unified Structured Inventive Thinking[45]) are introduced (although not very much supported by the majority of the TRIZ community due to oversimplification and elimination of some key TRIZ concepts).o European TRIZ Association(ETRIA), TRIZ France Association, and Italian TRIZ Association APEIRON are established.o Altshuller Institute for TRIZ Studies is established in the US.2004-2008:o A number of new tools emerge to help with complex problem analysis and management, which still remained a weak part of TRIZ: Root Conflict Analysis (RCA+)[28] for decomposing inventive problems, Problem Flow Technology, ProblemNetworking [18]for managing complex problems involving networks of contradictions.o New tools based on previous studies emerge, such as Hybridization[30] (further development of Alternative Systems Merging), Functional Clues[34],Anticipatory Failure Determination(AFD) [39], Function-Oriented Search[31],Inventive Standards for Business Systems, Radar Plot for Mapping Trends of Systems Evolution.o New experimental versions of ARIZ appear, but their use is limited due to complexity and necessity to be tested on a larger number of problems.o There is a proposal for a system of 150 Inventive Standards[26].o Different systems of the Trends of Technology Evolution emerge, and new lines of systems evolution are introduced: for instance, a current version of Directed Evolution[25] by Ideation International presents 400 lines of technical systems evolution.o A number of attempts are undertaken to integrate TRIZ with modern methods of Quality Management (e.g. Quality Function Deployment - QFD), and such systems as Six Sigma (e.g. TRIZ is used within Design for Six Sigma - DFSS).o The Japan TRIZ Society is established.References (in chronological order, except websites):1.G. Altshuller & R. Shapiro, “About Technical Creativity” in the journal Questions ofPsychology, #6, 37-49. 1956 (in Russian).2.G. Altshuller, How to Work on an Invention: About a Theory of Inventiveness.AzbukaRatsionalizatora, Tambov, 1963 (In Russian)3.G. Altshuller, Algorithm of Invention. Moscow: Moscowskiy Rabochy. 1969, 1973 (inRussian), translated to English: G.Altshuller, The Innovation Algorithm: TRIZ, systematic innovation, and Technical Creativity, Worchester, Massachusetts: Technical Innovation Center, 19994.Yu. Gorin, A Pointer to Physical Effects for Solving Inventive Problems, Baku, 1973 (inRussian)5. B. Zlotin & S. Litvin, Creative Imagination Development, St. Petersburg, 1977 (in Russian)6.G. Altshuller, Creativity as an Exact Science: Theory of Solving Inventive Problems,Sovetskoe Radio, Moscow, 1979 (In Russian); translated to English as G.Altshuller, Creativity as an Exact Science: The Theory of the Solution of Inventive Problems, Gordon and Breach Science Publishers, 1984, 19887.G. Altshuller, The Art of Inventing: And Suddenly the Inventor Appeared, Moscow, DetskayaLiteratura, 1984 (in Russian, translated to English: G. Altshuller, And Suddenly the Inventor Appeared, Technical Innovation Center, 1996).8.G. Altshuller, Biological Effects as Analogy of Physical Effects, Baku, 1982 (in Russian)9.G. Altshuller, Algorithm for Solving Inventive Problems ARIZ-85C, 1985 (in Russian)10.G. Altshuller, Inventive Standards 76, 1985 (in Russian)11.G. Altshuller, To find an Idea: Introduction to the Theory of Solving Inventive Problems,Nauka, Novosibirsk, 1986 (in Russian)12.I. Vikentiev, A Spatial Geometrical Operator, St. Petersburg, 1987 (in Russian)13.V. Gerasimov and S. Litvin, FCA (Function-Cost Analysis) and Methods of TechnicalCreativity, St. Petersburg, 1988 (in Russian)14. Yu. Salamatov, “Achievements at Molecular Level: Chemistry helps with solving complexinventive problems”, in A Thread in a Labyrinth, Karelia, Petrozavodsk, 1988 (in Russian)15.G. Altshuller, B. Zlotin, A. Zussman & V. Filatov, Search for New Ideas: From Insight toTechnology, Kishinev, Karta Moldavenyaske, 1989 (in Russian)16.S. Litvin & A. Lyubomirski, “About the Database of Technological Effects”, in the Journal ofTRIZ, v. 1, #2, 1990, 22-27 (in Russian)17.V. Tsourikov, “Mathematical Effects: a new Part of Information Collection in TRIZ”, in Journalof TRIZ, v.2, #1, 1991, 48-55 (in Russian)18.N. Khomenko, TRIZ as a General Theory of Powerful Thinking (OTSM), collection of articles,1992-2003, /e/prs/kho.htm (in Russian)19.V. Timokhov, Biological Effects: Help for a Biology Teacher, Riga, NTZ Progress, 1993 (inRussian)20.G. Altshuller & I. Vertkin, How to Become a Genius: A Life Strategy of a Creative Person,Minsk, Belarus, 1994 (in Russian)21.Yu. Murashkovsky, Biography of Arts: Foundations of a Theory of Arts Systems Evolution,Skandinavia, Petrozavodsk, 1997 (in Russian)22.B. Zlotin, A. Zusman, G. Altshuller & V. Philatov, Tools of Classical TRIZ, Ideation InternationalInc., 199923.S Kaplan, S. Visnepolschi, B. Zlotin & A. Zusman: New Tools for Failure and Risk Analysis: AnIntroduction to Anticipatory Failure Determination (AFD) and The Theory of Scenario Structuring, Ideation International Inc., 199924.A. Gin, Principles of Pedagogical Technology, Vita Press, Moscow, 1999 (in Russian)25.B. Zlotin and A. Zusman, Directed Evolution: Philosophy, Theory and Practice, IdeationInternational Inc., 200126.V. Petrov, History of Developing Standards, Tel-Aviv, 2003 (In Russian),http://www.trizland.ru/trizba/pdf-books/trizba-6-24.pdf27.D. Mann, S. Dewulf, B. Zlotin, A. Zusman, Matrix 2003, Ieper, Creax Press, 200328.V. Souchkov, "Root Conflict Analysis (RCA+): Structuring and Visualization of Contradictions,"in Proc. ETRIA TRIZ Future 2005 Conference, Graz, November 16-18, 2005, Leykam Buchverlag, 2005.29.D. Mann, Hands-on Systematic Innovation for Business and Management, Lazarus Press,2004.30.V. Prushinskiy, G. Zainiev, & V. Gerasimov, Hybridization: the New Warfare in the Battle forthe Market, Ideation International, Inc., 200531.S. Litvin, “New TRIZ-based Tool: Function-Oriented Search (FOS)”, in the TRIZ Journal, August2005, /archives/2005/08/04.pdf32.V. Petrov, History of developing the Algorithm of Solving Inventive Problems: ARIZ, Tel-Aviv,2006 (in Russian).33.T. Sidorchuk, Thoughtivity for Kids: Developing Creativity, Imagination, Problem Solvingand Language in Ages 3-8 Through TRIZ and Other Innovation Methods, Goal-QPC Inc., 200634.A. Pinyayev, Functional Clues, in the TRIZ Journal, December 2006, http://www.triz-/archives/2006/12/08.pdf35.Website of the Official Foundation of G.S. Altshuller, Russia, www.altshuller.ru (in Russian)36.Website of the TRIZ Journal, 37.Website of Gen3 Partners, USA, 38.Website of Creax, Belgium 39.Website of Ideation International, USA, 40.Website of Invention Machine Corporation, 41.Website of SIT, Israel, 42.Website of Systematic Innovation, Ltd 43.Website of ICG T&C, 44.Website of ASIT, IT on Wikipedia, /wiki/Unified_Structured_Inventive_Thinking46.European TRIZ Association website, 47.International TRIZ Association website, www.matriz.ru48.Altshuller Institute for TRIZ Studies website, 49.Personal communication in 1989-2008 with G. Altshuller, B. Zlotin, S. Litvin, V. Gerasimov, V.Tsourikov, N. Khomenko, V. Petrov.About the Author:Valeri Souchkov brings many years of experience with TRIZ and Systematic Innovation since co-founding Invention Machine Labs in Minsk, Belarus in 1988. Since that time he has been involved in training and consulting customers worldwide. In 2000, he initiated and co-founded the European TRIZ Association ETRIA () and since 2003 heads ICG Training and Consulting ( ), a company in the Netherlands which develops, uses and promotes techniques and tools of Systematic Innovation both for commercial and government organizations in technology and business areas. Mr. Souchkov is also an invited lecturer of the University of Twente in TRIZ and Systematic Innovation. Contact Valeri Souchkov at valeri@© 2008 Valeri Souchkov, ICG Training & Consulting. All rights reserved.。
generalized autoregressive score模型 -回复
generalized autoregressive score模型-回复Generalized Autoregressive Score (GAS) Model: Unveiling Its Core Concepts and ApplicationsIntroduction:In recent years, the development of time series models has played a crucial role in various fields, ranging from finance and economics to environmental sciences. One prominent model gaining popularity is the Generalized Autoregressive Score (GAS) model. This article aims to provide a comprehensive understanding of GAS models, delving into their core concepts, estimation techniques, and practical applications.1. Background and Motivation:Time series data often exhibit sequential patterns and dependencies, making them challenging to analyze using traditional statistical methods. To address this, GAS models were introduced as a flexible framework for modeling time-varying parameters. GAS models combine the advantage of autoregressive models, which capture the temporal patterns, with score-drivenmodeling principles enabling non-linear and dynamic parameter estimation.2. Core Concepts:The core concept of GAS models lies in the scoring function, which measures the discrepancy between the actual and predicted values of the parameter. The scoring function acts as a driving force, updating the parameter based on the information obtained from the current observation. This score-driven approach allows the model to adapt to changes in the data, making it well-suited for modeling time-varying parameters.3. Estimation Techniques:The estimation of GAS models involves two main steps: defining the scoring function and selecting the appropriate distributional assumption for the error term. The choice of the scoring function depends on the nature of the parameter being estimated. Common scoring functions include the Expectation-Maximization (EM) algorithm, the Fisher scoring algorithm, and the Stochastic Approximation Expectation-Maximization (SAEM) algorithm. Thesetechniques ensure that the parameter estimation is efficient and accurate.4. Applications:The GAS model has found applications in various fields due to its flexibility and adaptability. Here are some prominent applications:4.1. Financial Econometrics: GAS models have been extensively used in modeling and forecasting financial time series, such as stock prices, exchange rates, and volatility. Their ability to capture time-varying parameters and adjust to changing market conditions makes them valuable tools for risk management, portfolio optimization, and option pricing.4.2. Macroeconomics: In macroeconomic analysis, GAS models have been employed to estimate time-varying parameters in economic models. By capturing the changing dynamics of key macroeconomic variables, such as inflation rates and GDP growth, these models enable policymakers to make informed decisions and forecast future trends accurately.4.3. Environmental Sciences: GAS models have been successfully applied to model and predict biophysical processes, such as climate variables and ecological systems. By accounting fortime-varying parameters, these models enhance the understanding of complex environmental processes and aid in developing strategies for sustainable resource management.4.4. Engineering and Control Systems: GAS models have also found applications in engineering and control systems, wheretime-varying parameters are prevalent. These models help in predicting system behavior and optimizing control policies, contributing to improved performance and efficiency in various engineering domains.Conclusion:The Generalized Autoregressive Score (GAS) model represents a powerful and flexible framework for modeling time-varying parameters in time series data. By combining autoregressive models with score-driven principles, GAS models adapt to changing patterns and provide accurate parameter estimation.From finance and economics to environmental sciences and engineering, the applications of GAS models are widespread. Researchers and practitioners continue to explore the potential of this innovative modeling approach, paving the way for advancements in various domains.。
市场调查方法(英文版)第十章
➢ The accuracy of a measure or the extent to which a score truthfully represents a concept.
❖ Does a scale to measure what was intended to be measured?
1. Explain what needs to be measured to address a research question or hypothesis
2. Define operationalization 3. Distinguish levels of scale measurement 4. Explain the need for index or composite measures 5. List the three criteria for good measurement 6. Explain the significance of scale reliability and validity 7. Describe how marketing researchers think of attitudes
© 2007 Thomson/South-Western. All rights reserved.
10–4
EXHIBIT 10.1 Are There Any Validity Issues with this Measurement?
© 2007 Thomson/South-Western. All rights reserved.
• Constructs
➢ Concepts measured with multiple variables.
《经济学原理》推荐阅读书目
“经济学原理”课程推荐阅读书目(2013年6月修订)本书目所列多为知名经济学家撰写,将经济学基本原理用于思考实际问题,且有趣易懂的书籍。
推荐目的在于培养同学对学习和运用经济学的兴趣。
对于作业和考试并无直接帮助,特别适合在休闲时间(例如假期)阅读。
书目基于Mankiw, Principles of Economics (3rd, 5th and 6th ed.), Suggested Summer Readings / Suggestions for Summer Reading。
并补充了中译本,增删了一些书籍。
排列顺序大致与教材内容平行。
作者相同或内容相近的书籍集中排列,时间有限者可择其一阅读。
The Cartoon Introduction to Economics, by Yoram Bauman, and Grady Klein, New York: Hill and Wang, 2010, 2011.《酷玩经济学》/(美)尤伦·鲍曼、格兰迪·克莱恩著,闾佳译,中国人民大学出版社,2011。
Spin-Free Economics, by Nariman Behravesh, New York: McGraw-Hill, 2008.《这才是经济学:经济学的误解与真相》/(美)纳瑞蒙·贝尔拉夫什著,麻勇爱译,机械工业出版社,2010。
Freakonomics: A Rogue Economist Explores the Hidden Side of Everything, by Steven D. Levitt, and Stephen J. Dubner, William Morrow, 2005.《魔鬼经济学》/(美)史蒂芬·列维特、史蒂芬·都伯纳著,刘祥亚译,广东经济出版社2006。
Philosophy of Science: A Very Short Introduction, Oxford University Press, 2000.《科学哲学》/(英)Samir Okasha著,韩广忠译,凤凰出版传媒集团、译林出版社2009。
搅拌生物反应器的CFD模拟研究
40.Thoma S.Ranade V V.Bourne J R Interaction between micro-and Macro-mixing during reactions in agitated tanks 1991
27.Kalischewski K.Schugerl K Determination of the mass transfer coefficients of absorption of oxygen and carbon dioxide in different culture media 1978(01)
8.Hixson A W.Gaden E L Challenging for scale up from flask to 5-1 stirred bioreactor 1950
9.Junker B H.Hatton T A.Wang D I C Oxygen transfer enhancement in aqueouslperfluorocarbon fermentation
7.Markx GH.ten Hoopen H J G.Meijer J J Dielectric spectroscopy as a novel and convenient tool for the study of the shear sensitivity of plant cells in suspension culture 1991
35.Vrabel P.Van der Lans R G J M.Cui Y Q Compartment model approach:Mixing in large scale aerated reactors with
ARA 2007 Exam Solution
Student ID No.Student ID No. (words) SOLUTION COPYTHE UNIVERSITY OF MELBOURNEDEPARTMENT OF ACCOUNTING & B.I.S.Final Examination – Semester 2, 2007ExaminersonlyuseQuestion Marks ScoreSubject Code:306-107 1 10Subject Name: Accounting Reports & Analysis 2 83 10Exam Duration: 3 hours 4 105 18Reading Time:15 minutes 6 147 16This paper has 25 pages8 209 14This exam contains 9 questions (120 marks) Total 120Copies of this paper are NOT TO BE RELEASED to the Baillieu Library.QUESTION 1 (10 MARKS) REQUIRED:a)List and explain two circumstances in which directors or management of an organizationmay have an incentive to understate reported profits.* to reduce tax burden (lower profit => lower tax)* to reduce takeover interest (lower profit => less attractive to potential buyers)* to avoid consumer backlash over recent price / fee increases (if higher profit thencustomers are more likely to resent / question justification for price / fee increases e.g. banks, health funds)* to protect future government subsidies / budget finance (lower profit / surplus => govtmore likely to maintain level of subsidy* directors may be applying ‘big bath’ concept (already poor performance => bring allanticipated expenses / losses to account in this period)(4 marks) The Board of Directors of a large company is considering three major business proposals:1.To increase the next dividend2.To automate an existing labour-intensive production process3.To recommend to shareholders a takeover bid from an overseas equity investor REQUIRED:b)For each of these proposals identify one group of stakeholders who might be in favour ofthe proposal and one group who might be against. For each group identified explain briefly why they might / might not be in favour of the proposal.(i) To increase the next dividendOne stakeholder group in favour: Shareholders / DirectorsExplanation shareholders investing for income streams would prefer higher dividendsdirectors seeking re-election by keeping shareholders happy, seeking to instilmarket confidence that coy is liquid and expecting future profitsOne stakeholder group against: Shareholders / Directors / CreditorsExplanation shareholders investing for capital growth would prefer profits be reinvesteddirectors may wish to preserve cash and liquidity / stability ratioscreditors may have imposed debt covenants linked to liquidity/ stability ratios(2 marks)QUESTION 1 (continued)(ii) To automate an existing labour-intensive production processOne stakeholder group in favour: Directors / Shareholders / CustomersExplanation reduced costs / improved efficiency leads to increased performance / profitsfor customers, cheaper production costs may lead to cheaper pricesOne stakeholder group against: Employees / Government / CompetitorsExplanation employees may lose jobs (or require retraining)for govt, unemployment rates may increase (if large firm)for competitors, may lose market share to cheaper alternatives(2 marks) (iii) To recommend to shareholders a takeover bid from an overseas equity investorOne stakeholder group in favour: Shareholders / DirectorsExplanation may realise significant gain on shareholdingdirectors may receive significant incentive payments / payoutsOne stakeholder group against: Customers / GovernmentExplanation may have loyalty to Australian-owned businessesgovernment subject to backlash from foreign ownership(2 marks)[Total for Question 1: 4 + 2 + 2 + 2 = 10]QUESTION 2 (8 MARKS)Jaborandi Ltd is a retailer that currently trades from a shop in a major shopping precinct. Monthly payments are made to lease the shop for $150,000 per annum. The lease contract has 5 more years to run, after which time Jaborandi Ltd intends purchasing the shop for the prevailing market value which is estimated to be $3 million.The current owner has offered Jaborandi the opportunity to withdraw from the lease immediately and purchase the shop for $2 million. If agreed, Jaborandi Ltd would then incur ongoing costs of $20,000 per annum to occupy and maintain the shop. These costs are currently covered by the lease agreement.Jaborandi Ltd’s weighted average cost of capital (WACC) is 16% p.a. Ignore the impacts of GST.REQUIRED:a)Using net present value analysis, state whether or not Jaborandi Ltd should accept the offerto cancel the lease and buy the shop immediately. (Note: Annuity tables are on Page 24 of this examination booklet)Cancel & buy option with continuing lease as opportunity costInitial outlay of (2,000,000) = (2,000,000)5 year annuity outflow of (20,000) x 3.274 = (65,480)5 year annuity saving of 150,000 x 3.274 = 491,100 = NET 425,6205th year outflow saving of 3,000,000 x 0.476 = 1,428,000NPV = (146,380)OR Consider as separate options viz:Option 1: continue existing arrangement5 year annuity of (150,000) x 3.274 = (491,100)5th year payment of (3,000,000) x 0.476 = (1,428,000)NPV = (1,919,100)Option 2: cancel lease and buy propertyInitial outlay of (2,000,000) = (2,000,000)5 year annuity of (20,000) x 3.274 = (65,480)NPV = (2,065,480)RECOMMENDATION:Negative NPV (or Option 1 NPV > Option 2 NPV) => continue with existing lease arrangement(4 marks)QUESTION 2 continuedb)Explain whether or not your answer to part (a) would be different if Jaborandi Ltd’s WACCwas 18% p.a.If WACC was 18% then discount factors would be lower => NPV of future cash flows would be less and NPV of future negative cash flows would be more negative. Therefore the option to cancel lease and purchase would be even more unattractive.(2 marks)c)Discuss the implications of Jaborandi Ltd basing their decision on the estimation of theshop’s market value in 5 years time.The higher the estimation of the property value in 5 years time, the lower the NPV calculated above (or Option 2). The likelihood of a variance in a figure estimated for 5 years’ time is high. Currently the NPV (or differential between both options) is negative $146,380. Given the discount factor of 0.476, a variance of $307,521 (or 10.25%) would give an NPV > 0 and reverse the recommendation.Depends on degree of confidence that estimation is accurate to within 10.25%.(2 marks)[Total for Question 2: 4 + 2 + 2 = 8]QUESTION 3 (10 MARKS) CVP Ltd provides the following profit summary:CVP LtdProfit Summary for the year ended 31 December 2007revenue* 160,000SalesVariable costs 72,000Contribution margin88,000Rent 15,000Insurance 6,000Otherexpenses 13,500 34,500Net profit 53,500* Sales volume for the year was 32,000 unitsREQUIRED:a)Explain where the Depreciation of Property, Plant & Equipment is most likely accountedfor in the above profit summary.Depreciation is a fixed cost so must be below Contribution margin.Must be in Other expenses.(2 marks)b)Calculate the number of units CVP Ltd needed to sell in 2007 in order to cover their fixedcosts.SP = $160,000 / 32,000 = $5 per unitVC = $72,000 / 32,000 = $2.25 per unitCMU = $5 - $2.25 (or $88,000 / 32,000) = $2.75 per unitFC = $34,500BE volume = FC / CMU = 12,545.45 = 12,546 units(2 marks)QUESTION 3 (continued)In the following year ending 31 December 2008, CVP Ltd is budgeting for:∙existing fixed costs from 2007 to increase by 15%∙an additional $8,000 investment in advertising that is expected to increase the 2007 sales volume by 25%∙an increase in the 2007 contribution margin by 25 cents per unitREQUIRED:c)Calculate CVP Ltd’s budgeted profit (or loss) for the year ending 30 June 2008.FC in 2008 = 34,500 + 5,175 (15% ↑) + 8,000 = $47,675CMU = 2.75 + 0.25 = $3.00 per unitVolume = 32,000 + 8,000 (25% ↑) = 40,000 unitsBudgeted profit = CMU x Volume – FC= 3 x 40,000 – 47,675= $72,325(3 marks)d)Comment on CVP Ltd’s margin of safety for the year ending 30 June 2008.BE volume in 2008 = FC / CMU = 47,675 / 3.00 = 15,891.67 = 15,892 unitsBudgeted volume = 40,000 unitsMargin of safety = 24,108 units = 60.27%Very high margin of safety – could sustain a 60% unfavourable variance in sales volume and still cover costs(3 marks)[Total for Question 3: 2 + 2 + 3 + 3 = 10]QUESTION 4 (10 MARKS)a)State the effect (↑, ↓ or No ∆) each of the following transactions or events would have onthe nominated ratio.Please note:∙All transactions or events occur on 30 June∙Consider each transaction or event separately∙GST is recorded in a single clearing account and always has a credit balance∙Bank is in Overdraft at all times∙ROA is always less than 100%∙Current Ratio is greater than 1.5∙All discounts are reported as contra items above the Gross Profit line∙Where applicable, use year-end rather than average figures(8 marks)QUESTION 4 (continued)b)CSZ Ltd presents the following income statement information over the past two years incommon-sized statement form:CSZ LtdCommon-sized Income Statement for the year ended 30 June20072006%%100NetSales 100Cost of Goods Sold 55 6040Gross Profit 4512expenses 15SellingAdministrative expenses 6 8Profit before Interest & Tax 24 20Interest expenses 4 1010Profit before Tax 20Tax expense 6 3Net Profit 14 7REQUIRED:Clearly circle or highlight the correct response to indicate the change from 2006 to 2007 of the following items:(a) Mark-up % Increase Decrease No change Can’t bedetermined(b) Adminstrative Increase Decrease No change Can’t beratio determined expense(c) The tax rate Increase Decrease No change Can’tbedetermined(d) Net profit Increase Decrease No change Can’t bedetermined(2 marks)[Total for Question 4: 8 + 2 = 10]QUESTION 5 (18 MARKS) Vanadium Ltd presents the following summary in relation to its cash records for July 2007:Vanadium LtdBank Reconciliation as at 30 June 2007Balance as per Bank Statement 1,200 CRadd Receipts not credited 3631,563Unpresentedchequesless590 950Chq591 34ChqChq 594 400 1,384Balance as per Ledger Account 179 DRFEE HUNGRY BANKING LIMITEDBANK STATEMENT – JULY 2007VICTIM / CUSTOMER: Vanadium LtdBalance Date Details DebitCredit 01-Jul-07 Opening balance 1,200 CR01-Jul-07 Deposit 3631,563 CR03-Jul-07 Chq 595 1451,418 CR06-Jul-07 Chq 591 341,384 CR10-Jul-07 Deposit 7752,159 CR12-Jul-07 Interest 82,167 CR15-Jul-07 Chq 596 4001,767 CR16-Jul-07 Deposit 2,0003,767 CR17-Jul-07 Chq 599 1453,622 CR19-Jul-07 Chq 590 9502,672 CR20-Jul-07 Chq 598 7051,967 CR24-Jul-07 Deposit 2402,207 CR27-Jul-07 Chq 602 1,400807 CR30-Jul-07 Bank fees 21786 CR31-Jul-07 Chq 603 165621 CR31-Jul-07 Ending balance 621 CR(NOTE: Any discrepancy between Vanadium Ltd’s records and the Bank Statement is to be treated as unresolved)QUESTION 5 (continued)Receipts summary – July 2007 Payments summary – July 2007Date Accountcredited$DeposittotalDateAccountdebitedChqNo.$Jul 3 Receivables 280Jul 2Wages 595 1457 Sales 4955Rent 596 4008 Deposit 77510Advertising 597 16514 Contributed 13Dividends 598 750equity 2,00016Wages 599 14515 Deposit 2,00019Payables 600 63018 Receivables 16022Equipment* 601 1,89020 Dividends 8025Loan 602 1,25021 Deposit 24025Interest on23 Receivables 375 loan 602 15027 Sales 51030Wages 603 16528 Deposit 885TOTAL3,9003,900TOTAL5,690* The equipment purchased on July 22 was GST exemptREQUIRED:(a)Complete the following ledger account for July 2007.BANKDateCross-reference $ DateCross-reference $ 2007 2007Jul 1 Balance 179Jul 31Payments 5,69031 Receipts 3,900Bank charges 21Interest revenue 8Balance 1,6245,7115,711Balance 1,624(5 marks)QUESTION 5 (continued)(b)Prepare the July bank reconciliation.Vanadium LtdBank Reconciliation as at 31 July 2007$$ Balance as per bank statement 621 CRadd Deposits not credited 885 .1,506 .less Unpresented cheques# 594400# 597165# 600630# 6011,890 3,085 .(1,579) .less Error on cheque # 598 45 .Balance as per ledger account 1,624 CR(6 marks)QUESTION 5 (continued)(c)Prepare a cash flow statement for the month of July, 2007.Vanadium LtdCash Flow Statement for the month ended 31 July 2007$ $OPERATING ACTIVITIESReceipts from customers 1,820Payments to suppliers (incl Bank charges $21) <1,671>Dividends received 80Interest received (from BS) 8Interest paid <150>Net cash flow from operating activities87INVESTING ACTIVITIESAcquisition / purchase of PPE / equipment <1,890>Net cash flow from investing activities<1,890>FINANCING ACTIVITIESProceeds from share issues 2,000Dividends paid <750>Loan principal paid <1,250>Net cash flow from financing activities0NET CHANGE IN CASH HELD <1,803>CASH HELD AT START 179CASH HELD AT END <1,624>(7 marks)[Total for Question 5: 5 + 6 + 7 = 18]QUESTION 6 (14 MARKS)Prepare the necessary journal entries for each of the following:a)Machinery was purchased on 1 April 2007 for a total cost of $90,000. This price includedcosts for delivery $500, installation $1,000 and 12 month’s insurance $2,400. All figuresare GST exclusive. The machinery began operation on 30 April 2007. It is expected tohave a useful life of 8 years and a residual value of $6,000. All depreciation adjustments are made on 30 June each year.Entry required: theadjustment for the depreciation of machinery on 30 June 2007.(3 marks)b)Goods were purchased from a supplier on 20 June 2007 for $55,000 (GST inclusive) oncredit terms of 2/15, n/30. Faulty goods from this purchase which cost $2,750 (GSTinclusive) were returned on 22 June 2007. This account was settled on 30 June 2007.Entry required: the settlement of this account on 30 June 2007.(4 marks)c)Employee gross wages for June 2007 are $16,000. Withholding tax of 25% applies. Othermonthly employee-related on-costs are superannuation (10% of gross wages), payroll tax(2% of gross wages), workcover insurance ($1,000) and annual leave $1,350. Net wages,superannuation contributions and workcover insurance are paid in the month but liabilities are raised for all other payroll-related costs.payroll-related entries for June 2007.monthlyEntry required: the(4 marks)d)The profit before tax for the year ended 30 June 2007 is $70,000. The company’s tax rate is30%.Entries required: (i) the tax liability on 30 June 2007, and(ii) the subsequent transfer of profit after tax.(3 marks)QUESTION 6 (continued)GENERAL JOURNALCredit Date Details Debit 2007June 30 Depreciation of machinery 1,700Accumulated depreciation of machinery 1,700Adjustment for 2 months SL depreciation[Calculation:Cost 90,000 – Insurance 2,400 = 87,600less RV 6,000 = 81,600 / 8 yrs = 10,200 p.a.Began operation on April 30 = 2 months]Accounts payable [55,000 – 2,750] 52,250Bank [52,250 x 98%]51,205Purchase discount [52,250 x 2% x 10/11] 950GST receivable / clearing [1,045 x 1/11] 95Settlement of account payableWages & salaries 20,270Bank [16,000 x 75% + 16,000 x 10% + 1,000] 14,600Withholding tax payable [16,000 x 25%] 4,000Payroll tax payable [16,000 x 2%]320Provision for annual leave [given] 1,350Employee expenses for monthIncome tax expense [70,000 x 30%] 21,000Provision for income tax expense 21,000Adjustment for income tax expenseProfit & loss [70,000 – 21,000] 49,000Retained profits 49,000Transfer of net profit[Total for Question 6: 3 + 4 + 4 + 3 = 14 marks]QUESTION 7 (16 MARKS)Quango Supplies Ltd presents the following summary of certain trading activities for the second half of 2007. This includes details about one of its specific stock lines – the Pegmatite 306 which has a cost price of $40 per unit. All figures are GST inclusive where applicable.All inventory lines Pegmatite 306 line only Total of invoices from suppliers $44,000 20 units (Aug 22) & 15 units (Oct 11) Total of credit notes from suppliers $3,300 4 units (Aug 27) Total of invoices to customers $77,000 8 units (Jul 19) & 12 units (Nov 2) Total of credit notes to customers $6,160 3 units returned (Nov 5)[Note: Of these credit notes, $3,850 relate toreturns and $2,310 relate to allowances]Inventory donation to local charity $1,000 5 units (Sep 3)Bad debts written off $1,650Cash received from customers $64,680Discounts given to customers $1,320Value of December 31 stock take $17,700 22 units countedAdditional information:∙All purchases and sales are on credit∙The mark-up on all goods sold is 100 %REQUIRED:a)Complete the following ledger accounts (use appropriate cross-references):ACCOUNTS RECEIVABLECross-reference $ Cross-reference $ DateDate2007 2007July 1 Balance 11,000Dec 31Sales returns &Dec 31 Sales / GST payable 77,000allowances / GST 6,160Bad debts / GST 1,650Bank 64,680Sales discounts / GST 1,320Balance 14,19088,00088,000 Balance 14,190(5 marks)QUESTION 7 (continued)INVENTORYCross-reference $ Cross-reference $ DateDate2007 2007July 1 Balance 15,500Dec 31Accounts payable 3,000Dec 31 Accounts payable 40,000Cost of goods sold 35,000Cost of goods sold 1,750Donations 1,000Stock loss 550Balance 17,70057,25057,250Balance 17,700(7 marks)b)Complete the following stock card for the Pegmatite 306 inventory line:BALANCEIN OUTDate DetailsQty Price$ Qty Price$ Qty Price $ 2007July 1 Balance 15 40 60019 Sale (INV) 8 40 3207 40 280Aug 22 Purchase (INV) 20 40 80027 40 1,08027 Purch ret’n (CN) 4 40 16023 40 920Sep 3 Donation(Memo) 5 40 20018 40 720Oct 11 Purchase (INV) 15 40 60033 40 1,320Nov 2 Sales (INV) 12 40 48021 40 840 Sales ret’n (CN) 3 40 12024 40 960Dec 31 Stock loss 2 40 8022 40 880(4 marks)[Total for Question 7: 5 + 7 + 4 = 16]QUESTION 8 (20 MARKS) NOTE: This information is repeated on page 20Rumbustious Retailing P/L presents the following trial balance and additional information at the end of 12 months trading:Rumbustious Retailing P/LTrial Balance as at 30 June 2007Account DR$CR$Accumulated depreciation of shop equipment 125Administrative expenses 30Bank 80Cost of goods sold 300Dividends 10GST liability 5Interest on loan 40Inventory 160Investments 250Loan400 Occupancy expenses 40Other revenue 25Payables60Prepaid occupancy expenses 25Receivables 70Retained earnings (at 1 July 2006) 100Sales800 Sales returns 50Selling expenses 120Share capital 500Shop equipment 700Wages & salaries 1402,0152,015Adjustments / additional information:∙Annual depreciation on Shop Equipment is $75∙Wages owing at 30 June 2007 were $15∙An additional $5 of the above prepaid occupancy expenses has been used up∙ A stock take on 30 June 2007 valued inventory at $170∙The company tax rate is 30% (round amount to the nearest whole number)∙The Loan principal is to be repaid in equal instalments over 8 yearsREQUIRED:(a)Prepare an appropriately formatted Income Statement that includes line items for Grossprofit, Profit (or Earnings) before interest and tax, Profit before tax and Net profit.(10 marks)RUMBUSTIOUS RETAILING P/LIncome Statement for the year ended 30 June 2007$$REVENUE Sales 800 less Sales returns 50 750less Cost of goods sold 300less Stock gain 10 290GROSS PROFIT 460less OPERATING EXPENSESAdministrative 30Occupancy [40 + 5] 45Selling 120Wages & salaries [140 + 15]155Depreciation of shop equipment (could be in Selling) 75 42535Other revenue 25EARNINGS BEFORE INTEREST & TAX 60less Interest expense 40EARNINGS BEFORE TAX 20less Income tax expense 6NET PROFIT 14Retained earnings at start 100Profit available for distribution 114less Dividends 10RETAINED EARNINGS AT END 104(10 marks)NOTE: This information is repeated from page 18Rumbustious Retailing P/L presents the following trial balance and additional information at the end of 12 months trading:Rumbustious Retailing P/LTrial Balance as at 30 June 2007Account DR$CR$Accumulated depreciation of shop equipment 125Administrative expenses 30Bank 80Cost of goods sold 300Dividends 10GST liability 5Interest on loan 40Inventory 160Investments 250Loan400 Occupancy expenses 40Other revenue 25Payables60Prepaid occupancy expenses 25Receivables 70Retained earnings (at 1 July 2006) 100Sales800 Sales returns 50Selling expenses 120Share capital 500Shop equipment 700Wages & salaries 1402,0152,015Adjustments / additional information:∙Annual depreciation on Shop Equipment is $75∙Wages owing at 30 June 2007 were $15∙An additional $5 of the above prepaid occupancy expenses has been used up∙ A stock take on 30 June 2007 valued inventory at $170∙The company tax rate is 30% (round amount to the nearest whole number)∙The Loan principal is to be repaid in equal instalments over 8 yearsREQUIRED:(b)Prepare an appropriately formatted Balance Sheet.(10 marks)QUESTION 8 continuedRUMBUSTIOUS RETAILING P/LBalance Sheet as at 30 June 2007$ $ $ CURRENT ASSETSBank 80Receivables 70Inventory 170Prepaid expenses [25 – 5] 20 340NON CURRENT ASSETSShop equipment 700less Accumulated depreciation [125 + 75] 200500Investments 250 7501,090 CURRENT LIABILITIESPayables 60Accrued expenses 15GST payable 5Provision for income tax 6Loan 50 136NON CURRENT LIABILITIESLoan 350486 SHAREHOLDERS’ EQUITYShare capital 500Retained earnings 104 6041,090(10 marks)[Total for Question 8: 10 + 10 = 20]QUESTION 9 (14 MARKS) On 30 June 2007 Guesstimation Pty Ltd is in the process of preparing their first quarter budget for the 2008 financial year. They provide you with the following data relating to sales and inventory purchases:Month Sales revenue($)June (actual) 25 000July (budgeted) 30 000August (budgeted) 60 000September (budgeted) 50 000October (budgeted) 40 000∙GST is applicable to all purchases and sales∙Guesstimation Pty Ltd’s experience is that 75% of their sales are on credit. 80% of thesecredit sales are collected in the first month following the sale and the balance is collected inthe second month after the sale.∙Guesstimation Pty Ltd’s inventory policies are as follows:o maintain a gross profit margin before purchase discounts of 60%o maintain closing inventory levels at 50% of the following month’s requirementso all purchases are on credit and suppliers are paid early the following month to takeadvantage of a 2% discountREQUIRED:a)Complete the following purchases budget:JulyAugustSeptember Cost of goods sold(before purchase discounts)12,000 24,000 20,000Closing inventory 12,000 10,000 8,000Cost of goods required for sale 24,000 34,000 28,000less Opening inventory 6,000 12,000 10,000Required purchases 18,000 22,000 18,000(3 marks)b)Calculate the expected cash payments to inventory suppliers in September 2007.Expected payments to inventory suppliers in September 2007: $ 23,716WORKINGS: 22,000 x 1.1 (GST) x 98% = $23,716(2 marks)QUESTION 9 (continued)c)Calculate the expected cash receipts from customers in September 2007.Receipts from customers in September 2007: $ 58,300WORKINGS:Sep sales of 50,000 x 1.1 (GST) x 25% = 13,750Aug sales of 60,000 x 1.1 (GST) x 60% = 39,600July sales of 30,000 x 1.1 (GST) x 15% = 4,950Total = 58,300(4 marks)d)Calculate the expected balances for the following items at 30 September 2007. Accounts receivable at 30 September 2007: $ 51,150 (see below)Inventory at 30 September 2007: $ 8,000 (per Sep closing inventory above) Accounts payable at 30 September 2007: $ 19,800 (18,000 x 1.1) (per Sep purchases above) WORKINGS:A/R = Sep sales of 50,000 x 1.1 x 75% = 41,250Aug sales of 60,000 x 1.1 x 15% = 9,900Total = 51,150(3 marks) The actual sales for the quarter ended 30 September 2007 were $150,000.e)State, to one decimal point, the percentage variance in sales for the quarter ended 30September 2007.Percentage variance in sales for the quarter ended 30 September 2007: 7.1 % favourable WORKINGS:Actual sales of 150,000Budgeted sales of 140,000Variance = 10,000 / 140,000 = 7.1% FAVOURABLE(2 marks)[Total for Question 9: 3 + 2 + 4 + 3 + 2 = 14]Appendix 1: Present Value TablesPresent Value of $1Periods 4% 6% 8% 10% 12% 14% 16% 18% 20%1 .962 .943 .926 .909 .893 .877 .862 .847 .8332 .925 .890 .857 .826 .797 .769 .743 .718 .6943 .889 .840 .794 .751 .712 .675 .641 .609 .5794 .855 .792 .735 .683 .636 .592 .552 .516 .4825 .822 .747 .681 .621 .567 .519 .476 .437 .4026 .790 .705 .630 .564 .507 .456 .410 .370 .3357 .760 .665 .583 .513 .452 .400 .354 .314 .2798 .731 .627 .540 .467 .404 .351 .305 .266 .2339 .703 .592 .500 .424 .361 .308 .263 .225 .19410 .676 .558 .463 .386 .322 .270 .227 .191 .162Present Value of a Series of $1 Cash FlowsPeriods 4% 6% 8% 10% 12% 14% 16% 18% 20%1 0.962 0.943 0.926 0.909 0.893 0.877 0.862 0.847 0.8332 1.886 1.833 1.783 1.736 1.690 1.647 1.605 1.566 1.5283 2.775 2.673 2.577 2.487 2.402 2.322 2.246 2.174 2.1064 3.630 3.465 3.312 3.170 3.037 2.914 2.798 2.690 2.5895 4.452 4.212 3.993 3.791 3.605 3.433 3.274 3.127 2.9916 5.242 4.917 4.623 4.355 4.111 3.889 3.685 3.498 3.3267 6.002 5.582 5.206 4.868 4.564 4.288 4.039 3.812 3.6058 6.733 6.210 5.746 5.335 4.968 4.639 4.344 4.078 3.8379 7.435 6.802 6.247 5.759 5.328 4.946 4.607 4.303 4.03110 8.111 7.360 6.710 6.145 5.650 5.216 4.833 4.494 4.192Appendix 2: Ratio formulaeReturn on Equity: Net profit after taxequity* ShareholdersReturn on Assets: Earnings before interest and taxTotalassets*Net Profit Margin: Earnings before interest and taxSalesAsset Turnover: SalesTotalassets* DuPont Relationship: Return on Assets = Net Profit Margin x Asset TurnoverGross Profit Margin: Gross profitSales Mark-Up: GrossprofitCost of goods soldExpense ratios: Expense itemSales Inventory turnover (number of days): Inventory* x 365Cost of goods soldReceivables turnover (number of days): Receivables* x 365sales CreditWorking capital or Current ratio: Current assetsliabilities CurrentQuick asset or Current Assets – Inventory – PrepaymentsAcid test ratio: Current Liabilities - overdraftDebt ratio: Total debtsassetsTotal Times interest earned: Earnings before interest and taxcharges Interest* Average or year-end figures may be used for these elements unless specifically stated in the questionEND OF EXAMINATION BOOKLET。
2007年中山大学考研管理学真题试卷_真题-无答案
2007年中山大学考研管理学真题试卷(总分20,考试时间90分钟)1. 名词解释题1. 效率(Efficiency)与效果(Effectiveness)2. 职权(Authority)与授权(Power)3. 工作说明书(Job description)与工作规范书(Job specification)4. 管理者(Managers)与领导者(Leaders)5. 市场控制法(Marker control)与同族控制法(Clan control)6. 价值链管理(Value chain management)与供应链管理(Supply chain management)2. 简答题1. 委员会可以解释为从执行某些方面管理职能的一组人,形式上表现为一种团体。
在现代社会的各种组织中,委员会正作为一种集体管理和团体决策的主要形式而被广泛地采用。
但在实际管理中,尤其是在决策方面,委员会的效率问题一直是个倍受关注的难题。
美国的一位专家批评说:“国防委员会在一个小时之内就讨论完了某一个价值达数十亿美元的核设施计划,而围绕国防部大门的改造方案却讨论了一个下午”。
请运用管理学相关理论简述一个组织如何才能改善和提高团体决策的绩效。
2. 2006年,党中央国务院提出要建立创新型社会的战略主张,其核心是要把增强自主创新能力作为发展科学技术的战略基点,走中国特色自主创新道路,并把增强自主创新能力作为国家战略,贯穿到现代化建设各个方面,激发全民族创新精神,培养高水平创新人才,形成有利于自主创新的体制规制,大力推进理论创新、制度创新、科技创新。
请运用管理学理论知识简述一个企业如何才能激发创新?3. 按国际文化管理学说的观点,不同民族国家的文化存在极大的差异,例如美国和加拿大是两个搞个人主义价值取向的文化,而中国是一个集体主义价值取向的文化,但工作团队方式却能在美加两国得以推广,而在中国要推广这种工作方式却比较难。
请解释这一现象,并运用管理学理论知识简述中国企业如何才能建立更多的高效率工作团队。
求极限的方法毕业论文.
毕业论文(设计)任务书目录摘要 (5)Astract: (6)一、................................................................. 引言 7二、相关定义与定理 (7)三、极限的几个重要性质 (10)1、收敛数列的一些性质 (10)2、函数极限的相关性质 (10)四、极限的方法与技巧及举例说明 (11)1、................................................... 积分定义法求极限 112、....................................................... 对数法求极限 113、............................................... 利用等价无穷小求极限 124、............................................. 利用两个重要极限求极限 125、......................................... 利用数列与级数的关系求极限 136、............................................... 利用泰勒展开式求极限 137、....................................................... 单调有界定理 14&递推关系法 (15)9、....................................................... 先求和后求限 1510、........................................................ 利用不等式 1611、........................................................ 洛必达法则 1612、中值定理法 (17)13、两边夹法则 (18)14、利用极限的四则运算法则求极限 (18)15、施笃兹(stolz)定理 (19)16、E uler 常数法 (19)五、总结 (20)参考文献 (20)致谢 (21)求极限的方法与技巧龙丽丽摘要:极限概念是高等数学中很重要的概念之一,其它所有的重要的数学概念如导数、定积分都是建立在极限概念的基础上的。
Measurement Systems 1(测量系统)
Features of theoretical methods
No time delay engendered in building models , assembling and checking instrumentation , and gathering data.
Features of experimental methods
Outline (Part 3)
Manipulation, transmission, and recording of data
Manipulating, computing, and compensating devices Data transmission and instrument connectivity Voltage-indicating and recording devices Data-acquisition systems for personal computers
Outline (Part 2)
Measuring devices(测量装置)
Motion and dimensional measurement Force, torque, and shaft power measurement Pressure and sound measurement Flow Measurement Temperature and heat-flux measurement Miscellaneous measurement
Features of theoretical methods
Often give result are of general use rather than for restricted application . In variably require the application of simplifying assumptions .Thus ,not the actual physical system but rather a simplified “mathematical model” of the system is studied .This means the theoretically predicted behavior is always different from the real behavior .
Progress in Human Geography
ArticleHuman geography and theinstitutions that underlieeconomic growthThomas FaroleWorld Bank,USAAndre´s Rodrı´guez-PoseLondon School of Economics,UK;IMDEA Social Sciences Institute,SpainMichael StorperLondon School of Economics,UK;Sciences Po,FranceAbstractHuman geography is in a unique position to understand how local structural factors shape social,political,and ultimately economic outcomes.Indeed,the discipline has had much to say about the interaction between local institutions and the economy in general,and about how the broader institutions of society influence local economic development.Yet,to date,geographers have for the most part avoided debates on more generalized theories of economic growth and development.With the increasing recognition–among sociologists,political scientists and even economists–that explaining economic growth robustly requires taking into account the role of both formal society-wide institutions and local and sometimes informal institutions,geographers are in a position to make an important contribution.In order to do so,however, they will need to take greater account of the theories and developments that are taking place outside the ing the framework of community and society as complementary structural forces shaping development trajectories,this paper presents a broad overview of the principal theoretical and empirical developments in the institutionalist approaches to economic development and identifies areas in which geo-graphical research could contribute to them.Keywordscommunity,development,economic growth,institutions,societyI IntroductionOne of the central questions in mainstream economics concerns the determinants of why growth1occurs over the long run and why differ-ent places grow at different rates.Traditional growth models usually attempt to explain growth by the increasing accumulation of factors of production–more capital and labour rein-vested from the past in order to make today’s pro-ductivity higher.These models stem from the economics tradition known as‘Harrod Domar’and,despite ever more complex approaches, retain frustratingly high‘unexplained’growth factors,or residuals.In the face of these limita-tions,attempts to improve results models have Corresponding author:Andre´s Rodrı´guez-Pose,London School of Economics, Houghton Street,London WC2A2AE,UKEmail:a.rodriguez-pose@Progress in Human Geography35(1)58–80ªThe Author(s)2010Reprints and permission:/journalsPermissions.nav10.1177/0309132510372005crystallized recently around the study of how institutions,both formal and informal,structure and constrain the behaviour of economic agents. They integrate a concern with knowledge or technology,by arguing that economies with appropriate institutions also are more innovative in the long run than those with inferior institutions and adapt better to changes in the competitive environment.In a relatively short time,research-ers have made considerable progress in showing that institutions may‘matter’more for economic growth than factor endowments(Acemoglu et al., 2004;Rodrik et al.,2004).Nonetheless,this literature,which tends to rely on economy-wide quantitative studies at the macro level,has not yet explained in a satisfactory way which institutions matter,when they matter,and precisely how they shape growth.Efforts to address these issues have involved an emerging multidisciplinary interest in the social,cultural and institutional determi-nants of growth,thus expanding this‘institution-alist turn’.While human geography has in recent years become a highly fragmented discipline (Johnston,1998,2003),in which the pursuit of mainstream economic regularities has become far from mainstream,we contend that under-standing why different places develop differently over the long run remains of fundamental inter-est,at the very least to economic geographers. Since social,cultural and institutional forces vary considerably across territories,the geographical context of these factors should provide critical input to institutionalist models of growth. Indeed,geographers have made substantial prog-ress precisely in the areas where economists have struggled:in understanding the embedded-ness of economic agents in both local and distrib-uted communities,networks and institutional contexts;in describing how these institutional dynamics shape micro-economic behaviour;and in explaining how these factors impact economic outcomes in certain local contexts.In the last two decades,following the‘redis-covery of the region’in the industrial districts literature(cf.Piore and Sabel,1984;Becattini, 1990;Kristensen,1992),geographers have devoted considerable attention to understanding how specific characteristics of local economies (particularly those that are untraded and associa-tional in nature)determine competitiveness. Amin and Thrift(1994)describe economic life as a‘socially embedded’activity and ‘institutional thickness’as being favourable to economic development.Storper’s(1995, 1997)conceptualization of‘relational assets’and‘untraded interdependencies’identifies a mechanism through which the embeddedness of local actors can shape economic processes and confer territorialized benefits.Through related work on localized knowledge spillovers (cf.Saxenian,1994;Scott and Storper,2003; Rodrı´guez-Pose and Crescenzi,2008),regional systems of innovation(cf.Lundvall,1996; Malmberg,1997;Malmberg and Maskell, 1997),and learning regions(Florida,1995; Storper,1995;Cooke and Morgan,1998), economic geographers have led the way in studying the interaction between local institu-tions and the economy,particularly through processes of knowledge creation and innovation. Advances in the concept of‘relational assets’in recent years have shed further light on the reflex-ive and evolutionary nature of institutions and agents across space(Bathelt and Glu¨ckler, 2003;Bathelt,2006),the role of networks(Hess, 2004;Grabher and Ibert,2006;Glu¨ckler,2007), the firm as a collective actor(Maskell,2001; Yeung,2005),the importance of local proximity in knowledge transmission(Leamer and Storper, 2001;Gertler,2003;Storper and Venables, 2004),and the geography of learning and innovation(Gertler,2001;Bathelt et al.,2004; Bathelt,2005).In spite of this impressive body of research, geographers,even those working under the label economic geography,have not frequently engaged with the institutionalist literature on economic growth.This stems in part from the use of different analytical languages in theFarole et al.59various social science disciplines and the ten-dency for scholars to stick to their own commu-nities.It also stems from different basic ways of defining the purpose of research.For example,in human geography,the recent‘relational turn’based on concepts such as‘relational assets’and ‘untraded interdependencies’has tended to be used by researchers to examine particular cases, emphasizing complexity,context and differ-ence.Likewise,the‘cultural turn’in geography (cf.McDowell,1997;Peet,2000;Thrift,2000) has emphasized holistic approaches to the ways in which actors see and interpret their reality–a sort of territorial hermeneutics–but this is diffi-cult to use in tackling broad sets of cases with a view to determining if there are regularities in the relationship between territorially based contexts and economic development processes. This contrasts to the majority of institutionalist research in economics,sociology and political science,which are more oriented to discovering large-scale regularities in the relationship between institutions and economic develop-ment.As a result,the findings of geographers about how institutions are constituted,how they function,and how they are territorially pat-terned,have not been appreciated in wider social science debates about comparative patterns of economic growth.The‘institutional turn’in economics offers a real opportunity for economic geographers to contribute to the debates as well as to benefit from the contributions of other disciplines.To realize this potential,economic geography needs to take greater account of the substantial progress that has been made in linking institutions to eco-nomic growth within other disciplines–includ-ing economics,sociology and political science –in two ways.First,geographers could improve their identification of the micro-economic path-ways through which geographically mediated relationships and interdependencies impact eco-nomic performance of territories.Second,they could better systematize their findings–through the use of larger-scale sampling(quantitative or qualitative)grounded in a generalizable frame-work,and hence have something to say about to what extent,and what kind of,wider regulari-ties in institutional performance may exist.We propose a framework for researching the institutional foundations of economic develop-ment which we believe can bridge the work of geographers with that of economists and other disciplines.This framework is based on the con-cepts of‘community’and‘society’,which repre-sent the fundamental levels at which institutions have been captured in social science debates for over a century.In what follows,therefore,we review the findings of some of the social sciences about how institutions at the level of community and society shape micro-economic behaviour, and so determine broader patterns of economic growth.We observe how geographical research contributes to these debates and how it could engage them more explicitly.II Community and society as institutional formsThe most basic versions of neoclassical econom-ics have no need for institutions,instead assuming that utility maximizing individuals satisfying individual preferences result in efficient and socially optimal outcomes.However,most econ-omists now accept that in the real world there are some serious barriers to such outcomes:imper-fect information opens up the possibility of moral hazards;imperfect property rights create extern-alities and allocation problems;and imperfect reversibility and sunk costs can create enforce-ment and commitment problems.Hence,‘humanly devised constraints’(North,1990:3) are necessary to establish the ground rules and structure interaction between preference-satisficing individuals.Or,putting it less instru-mentally–as no doubt these constraints exist even in the absence of a recognized need for them–‘stabilized forms of social relations’(Bathelt,2005)structure economic action and are therein structured recursively.Since the60Progress in Human Geography35(1)origins of European sociology more than a cen-tury ago,the concepts of‘community’and‘soci-ety’have been used to describe the fundamental levels at which individual behaviour is mediated by institutions.Durkheim’s(1947[1893])soli-darite´me´chanique and solidarite´organique and To¨nnies’(1957[1887])Gemeinschaft and Gesellschaft used this framework to assess changing forms of governance in the age of indus-trialization.From Weber(1968[1921])onward, most social sciences research focused on explain-ing the dynamics of structuring anonymous social relations(ie,societal institutions),punctuated by frequent concerns by social theorists about the ‘loss of community’,the risks of alienation and excessive individualism of modern capitalist society(cf.Polanyi,1944;Bell,1976)or,using related concepts,on the link between the‘system world’and the‘life world’(Habermas,1987).From these classical origins,both community and society have been at the centre of vibrant lit-eratures in recent years.Starting from the late 1980s and intensifying since the turn of the cen-tury,the notion that community is not necessa-rily a brake on social progress,but potentially an integral driver of it,has re-emerged across a wide range of academic and policy disciplines. This has been seen in the communitarian litera-ture of Etzioni(1995,1996),and in the concepts of‘social capital’(cf.Coleman,1988;Putnam, 1993;Fukuyama,1995)and‘civil society’(Douglass and Friedman,1998).It has also been implicit in much of the‘new economic geogra-phy’,which has focused on the role of networks, firms,communities of practice,and meso-level formal and informal associationalism to explain local agglomeration and territorialized competitive advantage(cf.Storper,1997).The importance of societal institutions such as mar-ket rules,property rights and formal govern-ment structures has also been‘rediscovered’, particularly within the fields of economics and political economy.This has been led by the work of the New Institutional Economics(NIE) school(cf.North,1990,1992,2005;Greif,1997;Williamson,2000),along with studies of ‘comparative economics’and‘varieties of institutions’(cf.Rodrik,1999;Djankov et al., 2003;Rodrik et al.,2004;Acemoglu et al., 2004;Acemoglu and Johnson,2006b).‘Community’is used,variously,to refer to diverse forms of associational life ranging from primordial groupings of people around ascribed traits and shared cultures to acquired practices or chosen common interests.In the contemporary literature,communities often,but not always, refer to direct or indirect interpersonal ties between people,including‘bonds’and‘net-works’.These bonds may be formal or informal, but they are always excludable–ie,they are not open to all individuals,at least not without some pecuniary,temporal,cognitive or emotional munities represent meso or intermedi-ate levels of association.They operate as institu-tions by shaping the actions of individual agents in several ways:by structuring preferences, by mediating interpersonal exchange,and by serving as a basis for collective action.2‘Society’is used,for the most part,to refer to formal institutions operating over wider spatio-temporal scales.The emphasis is on‘rules’that structure large-scale,relatively anonymous and transparent relationships between people.‘Markets’,‘laws’,‘constitutional design’and the‘state bureaucracy’are among the most com-monly recognized societal institutions.North (1990)notes that it is not simply the rules that matter,but also their enforcement characteris-tics,hence the emphasis in much of the institu-tionalist economics literature on governance. Society is generally considered to operate at a higher spatial scale than that of community; there is often an implicit assumption that com-munities are more‘local’than societies.As we shall see,there are problems with this assump-tion that open up important questions for geogra-phical research.Like To¨nnies,Durkheim and other early writ-ers on the subject,much of the modern literature on community maintains a focus on socialFarole et al.61cohesion(cf.Jacobs,1961;Fukuyama,1995; Etzioni,1996).Similarly,much of the literature on society is engaged primarily with understand-ing the political processes through which social choice is revealed(cf.Steinmo,2001;Djankov et al.,2003;Acemoglu and Johnson,2006a). However,community and society also have powerful impacts–both direct and indirect–on the economy.3Two types of direct effect can be understood through the framework of a basic growth function.First,institutions influence the efficiency of economic exchange,thus affecting returns to capital and labour.They do this because community and society structure pro-cesses of search for resources.In the language of economics,they affect the cost of finding resources,the probability of finding them,and the social access to certain resources.Moreover, they affect the cost of transactions to secure resources,notably through the degree of trust between agents(Fafchamps,2006).Second, these institutions impact the rate of technological progress,because innovation is particularly dependent on searching,finding and securing complex batches of appropriately matched resources(people,knowledge,technology). Finally,community and society shape political processes,notably those that have to do with societal problem-solving and the distribution of the fruits of economic growth.Such pro-cesses,and especially the formation of different types of coalitions,in turn have recursive effects on the confidence people have in eco-nomic processes,and their willingness to par-ticipate in entrepreneurship,investment and further innovation.In other words,broad and deep socio-economic outcomes emerge from the ways in which community and society affect micro-economic behaviours and exchange processes. In what follows,we explain how the group-level dynamics of communities and the institu-tions of society structure the preferences and behaviours of individual economic agents.The actions of these institutionally structured agents,magnified through social interaction effects (Glaeser and Scheinkman,2001),influence aggregate development outcomes,and concur-rently such actions shape the ongoing evolution of these same institutions(Bathelt and Gluckler, 2003).III How contextually mediated institutions shape micro-economic actionCommunity and society structure the incentives and expectations of individual economic agents, but they do so in different ways.Crucially, both reduce uncertainty about the likely beha-viour of others,and in doing so,facilitate commitments and hence make possible invest-ment and interdependence,the latter of which is the basis for specialization and coordination, whether through organization or exchange. Community does this largely through interperso-nal trust;society,in contrast,enables coopera-tion through the relative transparency of rules and confidence in their enforcement.In this sec-tion,we review how community and society shape growth,first through their impact on the level of economic exchange and the transactions costs of that exchange;then by the way in which they influence the rate of technological change; and finally by their indirect effects through socio-political channels.All three are of intense interest to human geography:the extent of specialization and exchange in an economy is directly reflected in the type and level of territorial economic specia-lization and trade between places;technological change affects almost all dimensions of a terri-tory’s development;and the socio-political structure of a place directly affects its pathway of economic and social development,and in par-ticular the local channels for absorbing and shap-ing change.These topics have been the focus of much geographical literature,notably through reflections on the state and the geography of its ongoing restructuring(Brenner,2004)and on62Progress in Human Geography35(1)how territorially bounded political processes affect economic development(Jones,2001).In this,geographers have remained broadly inspired by the vision of Polanyi–that the advent of the market generates an ongoing‘great transformation’–on the one hand,and with interpersonal networks and micro-level pro-cesses on the other.However,they have engaged relatively little with the more recent social sci-ence emphasis on the primacy of institutions–and notably those of what we are labelling‘soci-ety’–in shaping economic and social processes, including the development of the market.41Micro-economic exchangeAny economy is built around the twinned pro-cesses of production and exchange.Product markets,production systems,labour markets, financial markets,and processes of coordination within firms and other organizations all involve exchange(of various kinds–eg,money for effort,money for a product,or information for a collaboration).This is thus the foundation of the relational and coordinative dimension of any economy,and geographers have been particu-larly active in documenting this at specific terri-torial levels.The first step in any economic exchange is the mutual selection of agents with whom to engage, or the processes of search,screening and selec-tion.Interpersonal networks,the physical core of communities,facilitate information flows about possible cooperative agents,lowering the costs of search.But search is only the starting point.Once an exchange partner is identified,one must determine whether she or he is credible and capable.In short,can s/he be trusted?The notion of trust is a cornerstone of social capital research(Putnam,1993,2000;Fukuyama, 1995;Portes,1998;Hardin,2002;Uslaner, 2002).Geographers have described in rich detail how socially and territorially embedded rela-tionships facilitate the trust that underpins economic exchange(Hudson,1999;Hess, 2004).Embedded relationships have been shown to lower the cost of financing in both for-mal credit markets(Uzzi,1997)and informal markets(Udry,1994;Murphy,2003).While trust based on encapsulated interest (Hardin,2002)is non-problematic in simple exchange processes,communities become partic-ularly important to overcome free rider problems and facilitate coordination in more complex exchange environments(Rothstein,2000).Communities also support the efficiency of cooperative exchange by providing low-cost incentives for individuals to comply with obliga-tions.Reputation and norms have been shown through game theory to offer an alternative to legal systems as a contract enforcement mechan-ism(Greif,1997);and insofar as they rely on effective information mechanisms to monitor compliance and sustain norms,they are only pos-sible within the context of communities.Indeed their effectiveness is context-specific even within communities.Some authors suggest that the use of norms is more effective in tight,‘bonding’(North,1990)or highly particularized commu-nities where information is more readily available and the imposition of sanctions can be more cost-effectively carried out(Levi,1988;Ostrom, 1990).In contrast,where communities are larger, less stable and less spatially concentrated social sanctions may be less effective(Stiglitz,2002) and norms more difficult to maintain.As the scope of exchange becomes wider and/ or its subject more complex,uncertainty arises over the capacities,capabilities and performance of exchange partners,intensified by the intro-duction of principal-agent dilemmas.In this con-text,society-level institutions lower search costs and can reduce the gap between private and social returns in exchange,fostering a more effi-cient allocation of resources across society(Ben-nedsen et al.,2005).But exactly how do societal institutions do this?Nannestad and Svendsen(2005)outline three main mechanisms through which societalFarole et al.63institutions facilitate trust in exchange.First, they provide avenues for redress where one party proves untrustworthy.Second,they reduce incentives to cheat by lowering the profitability of deceit–ie,by using the probability of enforcement to shift the risk/reward profile of cheating.Finally,they set standards of honest behaviour,which may be internalized as societal norms over time.Thus,the existence of standard ‘rules of engagement’backed by a stable and robust rule of law reduces uncertainty by facili-tating the mutual trustworthiness of individual economic agents.This area of research is the setting for substan-tial debate on the relative influence of commu-nity-and society-level institutions.A number of studies have looked at the role of interperso-nal networks and community associationalism on trust(cf.Stolle,1998;Whiteley,1999; Uslaner,1999;Bjornskov,2006),several of which have come to opposite conclusions.Simi-larly,studies on the link between networks,trust and economic growth(cf.Knack and Keefer, 1997;Zak and Knack,2001;Beugelsdijk and van Schaik,2005)fail to reach a consensus. While economists have shown clearly that society-level institutions such as property rights and the rule of law are associated with economic outcomes(cf.Vijayaraghavan and Ward,2001; Acemoglu and Johnson,2006b;Rodrik et al., 2004),they have yet to trace the causal mechan-isms through processes of micro-economic exchange.Moreover,this field of research is beset by endogeneity issues–do good institu-tions result in higher growth or does economic growth result in better institutions?Human geography could contribute a great deal to this debate through its ability to compare development experiences at different territorial scales;to determine whether markets or societal institutions are real causes or just aggregates of causes(including community-level institutions) at other territorial scales;and to introduce spatial interaction and social reflexivity into discussions of causality.Indeed,geographers have already made significant contributions to research in this area,although most of it has focused on community-level institutions.The emphasis on industrial districts in geography during the 1990s probed the role of local(formal and infor-mal)networks in reducing interfirm transaction costs and creating agglomerations(Becattini, 1990;Uzzi,1997).Others have looked at the role of interpersonal and interfirm networks on local industry clusters(Pinch and Henry,1999; Sturgeon,2003),FDI(Coe et al.,2004;Glu¨ckler, 2006)and entrepreneurship(Saxenian,2002). Geographers have also developed complex spa-tial and network-based analyses of trust(Ettlin-ger,2003;Murphy,2006)and analysed how networks,trust and reputation shape processes of agglomeration(Glu¨ckler and Armbruster, 2003;Glu¨ckler,2007).There has been a vigorous debate between thosewho believe that such forces are important bases of economic performance and those who do not,and those who believe that spa-tial proximity in them is important versus those who believe that long-distance relationships pro-vide a functional equivalent in economic coordi-nation.The problem is that that debate has been stuck for a number of years.Progress will only be made toward resolving it if we can aggregate upward by comparing many cases and linking short-and medium-term performance of economies to long-term developmental out-comes.Geographical concepts such as untraded interdependencies and relational assets thus have the potential to add valuable insights into pro-cesses of economic adaptation,path dependence and cumulative causation.Moreover,concen-tratedattentionto issuesof scale inhumangeogra-phy research could be crucial to understanding the potential and limits of society-level institutions to shape efficient exchange,as opposed to commu-nities and smaller-scale processes.2Knowledge and technical progressSince Romer(1986)endogenized technology, technological progress has come to the fore of64Progress in Human Geography35(1)the analysis of long-term economic growth(cf. Lucas,1988;de Long and Summers,1994).As Aghion and Howitt(2006)argue as an economy gets closer to the Schumpeterian technology frontier,innovation becomes the most important immediate determinant of the speed of growth. Community-and society-level institutions play a relevant role in the genesis and adoption of innovation and,thus,in understanding how these institutional domains shape innovation and growth,a challenge for which geographers are well equipped.A number of authors(cf.Aldrich and Zimmer,1986;Cooke and Morgan,1998;Saxe-nian,2002;Djankov et al.,2006)have unpacked the role of social networks in circulating infor-mation,from searching for technical partners, employees and finance to facilitating collabora-tion,to gathering critical information on mar-kets.In addition to networks,trust is seen as critical to facilitate the exchange of confidential information by reducing the risk of abusive use of the information by one party(Dakhli and de Clercq,2004).But what kinds of networks are best for these purposes?The literature makes a distinc-tion between‘weak ties’and‘strong ties’(Granovetter,1983;Grabher,1993),where the former involve little direct interpersonal knowl-edge and connections with few criss-crossing levels between people,while the latter involves strong traditional,multilevel bonds.Some geo-graphers,such as Grabher and Ibert(2006), argue that innovation networks need to be of the weak-tie variety in order to take advantage of‘structural holes’–ie,places in larger struc-tures that are not fully occupied by rules,people or relations and hence represent opportunities for change(Burt,1995).In the theory of entre-preneurialism,agents who do so are capable of linking‘previously unconnected’resources and filling gaps in the market supply structure (Schumpeter,1926).Research on innovation networks suggests that such actors on the periph-ery of communities may be more disposed to carry out radical innovation(Chubin,1976; Granovetter,1983).A number of studies by geo-graphers spatialize this notion,stressing the role of extra-local linkages for knowledge creation (cf.Grabher,2002;Scott,2002;Boschma, 2005).In the literature on innovation,weak-tie networks are seen to rely in part on trust for the transmission of tacit knowledge(Gertler,2003). On the one hand,several studies suggest that the cohesion of strong-tie networks facilitates the exploitation of knowledge and drives innovation (Larson,1992;Uzzi,1997).Not only do group norms underpin trust relationships,but they impact innovation by structuring individual and organizational behaviour.Bonding communities are seen to restrict the freedom of ideas and actions that lead to innovation by sanctioning non-conformity with established norms(Rogers, 1995;Reuf,2002).On the other hand,there has been much attention paid to innovation-potentiating norms within high-technology orga-nizations(Lundvall,1992;Cooke and Morgan, 1998).In this rich and varied debate,geographers are especially attuned to the possible differences in geographical scale between weak-and strong-tie networks,and between communities of affi-nity,interest and practice.Cooke and Morgan (1998),for example,argue that the regional scale is essential to the efficiency of interfirm rela-tions,formal governance institutions and the ‘collective social order’when it comes to innova-tion.Other geographers have shifted away from a focus of territorialized knowledge spillovers to explore how relational proximity shapes learning across different geographical scales,for example through communities of practice(Amin and Cohendet,2000).Grabher and Ibert(2006), Bathelt et al.(2004)and Boschma(2005)extend this point,arguing that practices of knowledge are shaped by different types of networks operat-ing at different spatial scales.In contrast,Storper and Venables(2004)put forward a formal model of how face-to-face contact is an element of the institution of contracting which is necessary toFarole et al.65。
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功能语言学理论框架下的中美《宪法》语篇对比分析及文化阐释
功能语言学理论框架下的中美《宪法》语篇对比分析及文化阐释一、本文概述Overview of this article本文旨在通过功能语言学的理论框架,对中美两国的《宪法》语篇进行深入对比分析,并尝试从文化的角度对其中的差异进行阐释。
功能语言学作为一种重视语言在社会交际中实际功能的语言学理论,为我们提供了一个全新的视角来理解和分析法律文本的深层结构和意义。
通过对比中美《宪法》的语言表达、篇章结构和语用功能,我们可以揭示出两国在政治体制、社会价值观和文化传统等方面的异同,进而深化对两国法律文化的理解。
This article aims to conduct an in-depth comparative analysis of the constitutional texts of China and the United States through the theoretical framework of functional linguistics, and attempt to explain the differences from a cultural perspective. Functional linguistics, as a linguistic theory that emphasizes the practical function of language in social communication, provides us with a new perspective tounderstand and analyze the deep structure and meaning of legal texts. By comparing the language expression, discourse structure, and pragmatic functions of the constitutions of China and the United States, we can reveal the similarities and differences in political systems, social values, and cultural traditions between the two countries, thereby deepening our understanding of their legal cultures.具体而言,本文将首先介绍功能语言学的基本理论及其在法律文本分析中的应用。
社会心理学英语
社会心理学英语Social psychology is a branch of psychology that focuses on how individuals' thoughts, feelings, and behaviors are influenced by the presence of others. It examines various social phenomena such as conformity, obedience, persuasion, and group dynamics. This field of study provides valuable insights into human behavior and helps us understand social interactions better. In this article, we will explore some key concepts and theories in social psychology.One fundamental concept in social psychology is conformity, which refers to the tendency of individuals to adjust their thoughts, feelings, and behaviors to align with the norms of a group. Conformity can be driven by informational social influence, where individuals conform because they believe that the group possesses valuable information. It can also be driven by normative social influence, where individuals conform to gain acceptance and avoid rejection from the group.Another important concept is obedience, which involves compliance with the commands or orders of an authority figure. The classic study conducted by Stanley Milgram demonstrated the power of obedience. Participants were instructed to administer electric shocks to a confederate, who pretended to be in pain. Despite the confederate's pleas to stop, many participants continued to administer shocks because they were told to do so by the experimenter. This study highlights the influence of authority on individuals' behavior.Persuasion is another key area of study in social psychology. It involves the process of changing an individual's attitudes, beliefs, or behaviors through communication. Persuasion can be achieved through various strategies, such as the use of credible sources, appealing to emotions, and presenting strong arguments. Understanding the principles of persuasion can help individuals become more effective communicators and resist manipulative tactics.Group dynamics is another fascinating area of study in social psychology. It examines how individuals behave in groups and how group processes influenceindividual behavior. One well-known phenomenon in group dynamics is the bystander effect, which refers to the tendency of individuals to be less likely to help someone in need when others are present. This diffusion of responsibility occurs because individuals assume that someone else will take action.In addition to these concepts, social psychology also explores topics such as prejudice, stereotypes, and discrimination. Prejudice refers to negative attitudes or beliefs towards individuals based on their membership in a particular group. Stereotypes are generalized beliefs about the characteristics of a group, while discrimination involves unfair treatment of individuals based on their group membership. Understanding these phenomena is crucial for promoting equality and reducing social biases.In conclusion, social psychology provides valuable insights into how individuals' thoughts, feelings, and behaviors are influenced by the presence of others. Concepts such as conformity, obedience, persuasion, and group dynamics help us understand social interactions better. By studying social psychology, we can gain a deeper understanding of human behavior and contribute to creating a more inclusive and harmonious society.。
[概念理解]泛化,专门化和继承
[概念理解]泛化,专门化和继承Generalization, Specialization, and InheritanceTerms such as superclass, subclass, or inheritance come to mind when thinking about the object-oriented approach. These concepts are very important when dealing with object-oriented programming languages such as Java, Smalltalk, or C++. For modeling classes that illustrate technical concepts they are secondary. The reason for this is that modeling relevant objects or ideas from the real world gives little opportunity for using inheritance (compare the class diagram of our case study). Nevertheless, we would like to further introduce these terms at this point in Figure 4.26: 此句不知道讲啥了?谁来告诉我啊?当使⽤OO⽅法的时候,会⾃然⽽然的联想到超类(祖先),亚类(分⽀),和继承 , ⼦类的概念。
这写概念在OO编程语⾔中很重要。
Figure 4.26 Notation of generalizationGeneralization is the process of extracting shared characteristics from two or more classes, and combining them into a generalized superclass. Shared characteristics can be attributes, associations, or methods.泛化就是吸取两个或多个类的共同点,把它们组合成⼀个泛华的超类。
“4E+S”:认知科学的一场新革命?
“4E+S”:认知科学的一场新革命?【英文标题】"4E+S"A New Revolution in the Cognitive Science?【作者简介】李建会,于小晶,北京师范大学价值与文化研究中心、哲学与社会学学院。
一、引言近年来,许多科学家和哲学家都认为,在认知科学领域发生了一场新的认知革命。
这一革命就是“4E+S”理论模型的兴起。
其中,“4E”指的是体化(embodied)认知、嵌入(embedded)认知、生成(enacted)认知和延展(extended)认知理论;“S”指的是情境(situated)认知理论。
与认知科学传统的计算表征理论不同,一批新的认知科学家和哲学家开始主张认知是体化的、嵌入的、生成的、延展的和情境的。
“4E+S”认知起初是由不同的认知科学家和哲学家独立倡导的,但随着这些模型讨论的增多,2007年在美国佛罗里达大学召开的一次认知科学会议上,“4E”第一次作为统一的主题被展开讨论。
也正是在这次会议上,美国蒂芬大学的美籍华人卢找律教授提出,应当在“4E”纲领的基础上再加上一个“S”,他认为近年来正在形成的认知革命综合起来就是“4E+S”。
①“4E+S”认知在认知科学的当代讨论中具有非常大的影响。
如20世纪末21世纪初,国外学界出版和发表了许多关于“4E”和“S”的著作和文章,其中,有影响力的著作有:瓦雷拉(F.Varela))、汤普森(E.Thompson)和罗施(E.Rosch)的《体化认知》(1991年),克拉克(A.Clark)和查尔莫斯(D.Chalmers)的《延展心灵》(1998年),拉考夫(koff)和约翰逊(M.Johnson)的《肉身中的哲学》(1999年),诺伊(A.Noe)的《知觉中的行动》(2004年),亚当斯(F.Adams)和艾泽瓦(K.Aizawa)的《认知的界限》(2008年),罗兰兹(M.Rowlands)的《心灵的新科学》(2010年),夏皮罗(L.Shapiro)的《体化认知》(2011年)等。
未来本体论方向可能性探讨
未来本体论方向可能性探讨摘要:本体论一直是人类哲学思考的关键问题,甚至起到一定的起点作用,其他的哲学思考也很难回避这个问题,从亚里士多德形而上学的核心到蒯因的本体论承诺学说,人类的本体论经历了一系列的发展和建构。
曾经在近现代许多哲学家因为“旧哲学”的弊端开始排斥本体论,但经过了一段发展和交流,本体论又被带回到视野内了。
毫无疑问,在今天本体论的意义又被重新构建了起来,对本体论的思考不再被认为是对人类智力的浪费了。
本文将分析人类本体论的大致发展阶段,尝试构建出大致的趋势,并借此对未来的形而上学方向可能性进行预见分析。
由于以希腊哲学为始的西方哲学与现代哲学的历史纵向脉络更紧密,所以本文主要以西方哲学为对象。
一经院哲学前的本体论特点从本体论范畴出发,在这里把从出现系统哲学到经院哲学前的这段时间称之为“实体本体时代”。
古希腊早期的自然哲学已经表现出整个古希腊哲学本体论的特点了,作为人类哲学最早的起始地之一,其本体论的思考总体上有很重的朴素唯物论色彩。
不过我们要明白在大部分的古希腊时期里,比起后世思考的“唯物”当时各派的本体论思想的前提往往是与实存挂钩。
存在,实在和本体三者在今天也是非常容易发生歧义的概念,在古希腊这三个概念甚至没有明确区分。
在希腊的主要时期中并没有较明确的类似“exist,being和on”的使用。
古希腊语作为屈折语普遍使用的是einai的各种语态变换。
这就表明在古希腊这三个概念的分离构建至少是不普遍的,所以古希腊哲学本体论在总体上是依附于人类本能物质观念的,也就是实体感,比如亚里士多德形而上学的核心就是实体论。
哪怕是精神和晚期的灵魂(如普罗提诺的灵魂)也只不过是非形下的实体。
但是历史性的类,基本不可能是完满统一的。
生产力和社会分工的进一步发展,虽然自然哲学和其世界本源的设想模式仍然在主要地位,但是如赫拉克利特的“逻各斯”,皮罗主义,灵魂学说等等思想都有下个时代的特征,动摇和改变着人们的本体论。
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Leandro C. Rˆ ego Statistics Department Federal University of Pernambuco Recife-PE, Brazil e-mail: leandro@de.ufpe.br
1 INTRODUCTION
Game theory has proved to be a useful tool in the modeling and analysis of many phenomena involving interaction between multiple agents. However, standard models used in game theory implicitly assume that agents are perfect reasoners and have common knowledge of all significant aspects of the game. There are many situations where these assumptionn large games, agents may not be aware of the other players in the game or all the moves a player can make. Recently, we [Halpern and Rˆ ego 2006] proposed a way of modeling such games. A key feature of this approach is the use of an augmented game, which represents what players are aware of at each node of an extensive form representation of a game. Since the game is no longer assumed to be common knowledge, each augmented game represents the game a player considers possible in some situation and describes how he believes each other player’s awareness level changes over time, where intuitively the awareness level of a player is the set of histories of the game that the player is aware of.
Figure 1: A simple game.
brium of this game has A playing downA and B playing acrossB . Since player A chooses downA , player B never gets the chance to move so whatever he does he will get the same payoff of 1. However, if player B is rational and ever gets to move, he will not choose move acrossB since it gives a lower payoff for him than choosing move downB . There have been a number of variants of Nash equilibrium proposed in the literature, such as perfect equilibrium [Selten 1975], proper equilibrium [Myerson 1978], sequential equilibrium [Kreps and Wilson 1982], and rationalizability [Bernheim 1984; Pearce 1984], to name just a few. Each of these solution concepts involves some notion of best response. Our framework allows for straightforward generalizations of all these solution concepts. As in our treatment of Nash equilibrium, if Γ1 = Γ2 , we treat player i who considers the true game to be Γ1 to be a different agent from the version of player i who considers Γ2 to be the true game. Each version of player i best responds (in the sense appropriate for that solution concept) given his view of the game. In standard games, it has been shown that, in each game, there is a strategy profile satisfying that solution concept. Showing that an analogous result holds in games with awareness can be nontrivial. Instead of going through the process of generalizing every solution concept, we focus here on sequential equilibrium since (a) it is one of the best-known solution concepts for extensive games, (b) the proof that a generalized sequential equilibrium exists suggests an interesting generalization of sequential equilibrium for standard games, and (c) the techniques used to prove its existence in games with awareness may generalize to other solution concepts. We also provide some insight into the notion of generalized Nash equilibrium by proving that, in a precise sense, it is closely related to the notion of rationalizability when we restrict the analysis to games in normal form and no unawareness is involved (although the underlying game is no longer common knowledge among the players). Roughly speaking, a normal form game can be thought as a one-shot extensive game where no player knows the move the others made before they make their own move. Intuitively, in standard games, a strategy is rationalizable for a player if it is a best response to some reasonable beliefs he might have about the strategies being played by other players, and a strategy is part of a Nash equilibrium if it is a best response to the strategies actually played by the other players. Since, in games with awareness, the game is not common knowledge, a local strategy for player i in Γ+ is part of a generalized Nash equilibrium if it is a best response to the strategies played by the opponents of player i in the games player i believes his opponents consider to be the actual one while moving in Γ+ . Note that the line between rationalizabilty and generalized Nash equilibrium is not sharp. In fact, we are essentially able to prove that a strategy is rationalizable in a standard game Γ iff it is part of generalized