微分几何编码识别物体的形状

为更好地识别目标形状,编码方法需要对目标的刚体变换具有不变性,同时最大限度保持目标的原有信息。鉴于刚体平面曲线作变换时其曲率的不变性,提出了基于轮廓曲率提取的目标边界编码方法,并对此方法实施了离散化处理。提出了基于改进的KMP算法（D.K.Knuth,V.R.Pratt和J．H．Morris）的曲线匹配方法,并对目标轮廓的重建作了描述。实验证明,利用微分几何的思想描述目标边界,提取方法简单,存储量小,其编码针对目标刚体变换具有不变性,为识别提供了较大的方便。     

Morris水迷宫视频中目标识别与轨迹跟踪的研究与实现①

对Morris水迷宫视频中大鼠的运动轨迹进行跟踪是研究实验室大鼠空间学习和记忆能力的必要环节。为了有效且准确地对Morris水迷宫视频中大鼠的运动轨迹进行跟踪,设计了一个基于模板匹配和轨迹预测的Morris水迷宫视频分析系统,该系统能自动配置到任何大小的Morris水迷宫。通过简单的鼠标操作来快速准确地定位水迷宫和逃逸平台的位置;采用基于最大类间方差算法来把大鼠从水迷宫中分割出来;设计了基于模板匹配和轨迹预测的小区域搜索算法来跟踪迷宫中的大鼠。实验结果表明,该系统性能可靠,能有效地对水迷宫中的大鼠进行识别和跟踪并计算出各种水迷宫运动参数。     

THERE AND THERE

A modification of the cage of the Hagelin (M-209) cipher machine is shown to make the modified cipher secure against the Morris Known Plaintext Attack.     

莫里斯与包豪斯设计教育

本文是对于英国工艺美术运动倡导人之一威廉·莫里斯的思想与包豪斯教育体制之间关系的研究。以及莫里斯思想和包豪斯教育体制对于现代设计教育体制的关系探讨。     

基于Morris方法的仿真试验设计工具研究

现代仿真试验设计面临着试验影响因素数目众多以及因素之间关系复杂的问题,为了简化最终的试验设计,需要对众多试验涉及的因素进行辨识.全局分析比局部分析更能反映参数取值以及参数之间的关系对结果的影响,通过比较目前最常用的全局灵敏度分析方法的优劣,最终选择Morris方法来进行参数辨识的试验设计.由于Morris方法针对非线性问题有某些局限性,根据需求创造性地对Morris方法进行了改进.为了保证试验能够跨平台进行,利用MFC与可扩展标记语言（XML）实现Morris方法,完成试验设计工具,为仿真试验设计提供一种适用性较强的工具.     

A sensitivity analysis method for driving the Artificial Bee Colony algorithm's search process

In this paper, we improve D. Karaboga's Artificial Bee Colony (ABC) optimization algorithm, by using the sensitivity analysis method described by Morris. Many improvements of the ABC algorithm have been made, with effective results. In this paper, we propose a new approach of random selection in neighborhood search. As the algorithm is running, we apply a sensitivity analysis method, Morris’ OAT (One-At-Time) method, to orientate the random choice selection of a dimension to shift. Morris’ method detects which dimensions have a high influence on the objective function result and promotes the search following these dimensions. The result of this analysis drives the ABC algorithm towards significant dimensions of the search space to improve the discovery of the global optimum. We also demonstrate that this method is fruitful for more recent improvements of ABC algorithm, such as GABC, MeABC and qABC.     

SOLVING NINE MEN'S MORRIS

The game of Nine Men's Morris is a draw. We obtained this result using a combination of endgame databases (10¹⁰ states) and search. Our improved algorithm for computing endgame databases allowed the game to be solved on a personal computer. Other games have been solved using knowledge-based methods to dramatically prune the search tree. Nine Men's Morris does not seem to profit from such methods, making it the first nontrivial game solved in which almost the entire state space has to be considered.     

Merry christma: an early network worm

A computer worm disguised as a benign holiday greeting spread rapidly via email and clogged up networks worldwide. The story is all too common today, but this happened to corporate and university mainframes in 1987, in the infancy of the computer virus problem, even before the famous Internet, or Morris, worm. This article reviews 1987's relevant global networking environment, the way the Christma worm spread, the events surrounding its worldwide propagation, and the surprising effect it had once it got inside IBM.     

An application of an associative learning model to a Morris pool with a single landmark

A simplified model that studies stimuli representation and the set of algorithms that let us analyze associative learning in some particular cases with predetermined values of the salience of the stimuli is presented. We simulate an experiment where rats were trained in a Morris pool to find a hidden platform in the presence of a single landmark. The results obtained agree with a previous study where it was found that the control acquired by a single landmark is different depending on its relative distance from the hidden platform. In this paper, some simplified equations of the associative learning model have been used.     

Two Projects for Understanding the Mind: A Response to Morris and Richardson

We respond to Morris and Richardson's (1995) claim that Pickering and Chater's (1995) arguments about the lack of a relation between cognitive science and folk psychology are flawed. We note that possible controversies about the appropriate uses for the two terms do not affect our arguments. We then address their claim that computational explanation of knowledge-rich processes has proved possible in the domains of problem solving, scientific discovery, and reasoning. We argue that, in all cases, computational explanation is only possible for aspects of those processes that do not make reference to general knowledge. We conclude that consideration of the issues raised by Morris and Richardson reinforces our original claim that there are two fundamentally distinct projects for understanding the mind, one based on justification, and the other on computational explanation, and that these apply to non-overlapping aspects of mental life.     

The Morris worm: a fifteen-year perspective

The Morris worm was the first worm to hit the Internet and caused a disruption never seen before. In the 15 years since its appearance, have we learned our lessons ab out computer security?.     

Using a Bayesian framework and global sensitivity analysis to identify strengths and weaknesses of two process-based models differing in representation of autotrophic respiration

Process-based models are powerful tools for sustainable and adaptive forest management. Bayesian statistics and global sensitivity analysis allow to reduce uncertainties in parameters and outputs, and they provide better insight of model behaviour. In this work two versions of a process-based model that differed in the autotrophic respiration modelling were analysed. The original version (3PGN) was based on a constant ratio between net and gross primary production, while in a new version (3PGN¹) the autotrophic respiration was modelled as a function of temperature and biomass. A Bayesian framework, and a global sensitivity analysis (Morris method) were used to reduce parametric uncertainty, to highlight strengths and weaknesses of the models and to evaluate their performances. The Bayesian approach allowed also to identify the weaknesses and strengths of the dataset used for the analyses. The Morris method in combination with the Bayesian framework helped to identify key parameters and gave a deeper understanding of model behaviour. Both model versions reliably predicted average stand diameter at breast height, average stand height, stand volume and stem biomass. On the contrary, the models were not able to accurately predict net ecosystem production. Bayesian model comparison showed that 3PGN¹, with the new autotrophic respiration model, has a higher conditional probability of being correct than the original 3PGN model.     

Empirical Bayes estimators of the random intercept in multilevel analysis: Performance of the classical, Morris and Rao version

For a linear multilevel model with 2 levels, with equal numbers of level-1 units per level-2 unit and a random intercept only, different empirical Bayes estimators of the random intercept are examined. Studied are the classical empirical Bayes estimator, the Morris version of the empirical Bayes estimator and Rao's estimator. It is unclear which of these estimators performs best in terms of Bayes risk. Of these three, the Rao estimator is optimal in case the covariance matrix of random coefficients may be negative definite. However, in the multilevel model this matrix is restricted to be positive semi-definite. The Morris version, replaces the weights of the empirical Bayes estimator by unbiased estimates. This correction, however, is based on known level-1 variances, which in many empirical settings are unknown. A fourth estimator is proposed, a variant of Rao's estimator which restricts the estimated covariance matrix of random coefficients to be positive semi-definite. Since there are no closed-form expressions for estimators involved in the empirical Bayes estimators (except for the Rao estimator), Monte Carlo simulations are done to evaluate the performance of these different empirical Bayes estimators. Only for small sample sizes there are clear differences between these estimators. As a consequence, for larger sample sizes the formula for the Bayes risk of the Rao estimator can be used to calculate the Bayes risk for the other estimators proposed.     

THE TYPEX CRYPTOGRAPH

An extension of the Morris Known Plaintext Attack is shown to permit complete cryptanalysis of a generalized Hagelin (M-209) cipher machine implemented electronically. We then suggest modifications of the encrypting algorithm to defeat the attack.     

Consequence Verification of Flowcharts

A common basis is presented, for Floyd's method of inductive assertions and for the subgoal induction method of Morris and Wegbreit. This basis is provided by consequence verification, a method for verifying logic programs. We connect flowcharts with logic programs by giving a recursive definition of the set of all computations of a flowchart. This definition can be given in two ways: the recursion can run forward or backward. Both definitions can be expressed in logic, resulting in a logic program which is then subjected to consequence verification. Verification of the forward logic program is shown to be essentially Floyd's method; verification of the backward program corresponds similarly to subgoal induction.     

Global sensitivity analysis in wastewater applications: A comprehensive comparison of different methods

Three global sensitivity analysis (GSA) methods are applied and compared to assess the most relevant processes occurring in wastewater treatment systems. In particular, the Standardised Regression Coefficients, Morris Screening and Extended-FAST methods are applied to a complex integrated membrane bioreactor (MBR) model considering 21 model outputs and 79 model factors. The three methods are applied with numerical settings as suggested in literature. The main objective considered is to classify important factors (factors prioritisation) as well as non-influential factors (factors fixing). The performance is assessed by comparing the most reliable method (Extended-FAST), by means of proposed criteria, with the two other methods. In particular, similarity to results obtained from Extended-FAST is assessed for sensitivity indices, for the ranking of sensitivity indices, for the classification into important/non-influential factors and for the method's ability to detect interaction among factors and to provide results in a reasonable time.It was found that the computationally less expensive SRC method was applied outside its range of applicability (R²) = (0.3–0.6) < 0.7. Still, the SRC produced a ranking of important factors similar to Extended-FAST. For some variables significant interactions among the factors were revealed by computing the total effect indices S_Ti using Extended-FAST. This means that to obtain reliable variance decomposition and to detect and quantify interactions among the factors, the use of the Extended-FAST is recommended. Regarding the comparison between Morris screening and Extended-FAST a poor agreement was found. In particular, the Morris screening overestimated the number of both important and non-influential factors compared to Extended-FAST for the analysed case study.     

试论手工艺精神的矛盾性——从莫里斯解析

现代设计面向机器生产,却由手工艺精神塑造,这是莫里斯昭示的悖论。设计,作为一个工业时代的概念,起于造物批判,归于造物崇拜,由手工艺精神的矛盾决定。本文对此进行了分析。     

论威廉·莫里斯的书籍设计风格——唤醒完美图书设计的革命

英国工艺美术运动的发起人——威廉·莫里斯,在其生命的最后六年时间里,将全部的热情投入到书籍设计中,提出了"完美图书"的构想,创造了许多被以后设计家广泛运用的编排构图方式,对现代书籍设计的发展,产生了重要的影响。     

Rainfall-runoff modeling,parameter estimation and sensitivity analysis in a semiarid catchment

We present a study on the Hydro-Informatic Modelling System (HIMS) rainfall-runoff model for a semiarid region. The model includes nine parameters in need of calibration. A master-slave swarms, shuffling evolution algorithm based on self-adaptive dynamic particle swarm optimization (MSSE-SDPSO) is proposed to derive model parameters. In comparison with SCE-UA, PSO, MSSE-PSO and MSSE-SPSO algorithms, MSSE-SDPSO has faster convergence and more stable performance. The model is used to simulate discharge in the Luanhe River basin, a semiarid region. Compared with the SimHyd and SMAR models, HIMS model has the highest Nash-Sutcliffe efficiencies (NSE) and smallest relative errors (RE) of volumetric fitness for the periods of calibration and verification. In addition, the studies indicate that the HIMS model with all-gauge data improves runoff prediction compared with single-gauge data. A distributed HIMS model performs better than a lumped one. Finally, the Morris method is used to analyze model parameters sensitivity for the objective functions NSE and RE.