Learning articulated motion structures with Bayesian Networks

This paper presents a general methodology for learning articulated motions that, despite having non-linear correlations, are cyclical and have a defined pattern of behavior Using conventional algorithms to extract features from images, a Bayesian classifier is applied to cluster and classify features of the moving object. Clusters are then associated in different frames and structure learning algorithms for Bayesian networks are used to recover the structure of the motion. This framework is applied to the human gait analysis and tracking but applications include any coordinated movement such as multi-robots behavior analysis.

Conformational Spread in the Flagellar Motor Switch: A Model Study

The reliable response to weak biological signals requires that they be amplified with fidelity. In E. coli, the flagellar motors that control swimming can switch direction in response to very small changes in the concentration of the signaling protein CheY-P, but how this works is not well understood. A recently proposed allosteric model based on cooperative conformational spread in a ring of identical protomers seems promising as it is able to qualitatively reproduce switching, locked state behavior and Hill coefficient values measured for the rotary motor. In this paper we undertook a comprehensive simulation study to analyze the behavior of this model in detail and made predictions on three experimentally observable quantities: switch time distribution, locked state interval distribution, Hill coefficient of the switch response. We parameterized the model using experimental measurements, finding excellent agreement with published data on motor behavior. Analysis of the simulated switching dynamics revealed a mechanism for chemotactic ultrasensitivity, in which cooperativity is indispensable for realizing both coherent switching and effective amplification. These results showed how cells can combine elements of analog and digital control to produce switches that are simultaneously sensitive and reliable. © 2012 Ma et al.

Optimal Data Distributions in Machine Learning

In the first part of the thesis we explore three fundamental questions that arise naturally when we conceive a machine learning scenario where the training and test distributions can differ. Contrary to conventional wisdom, we show that in fact mismatched training and test distribution can yield better out-of-sample performance. This optimal performance can be obtained by training with the dual distribution. This optimal training distribution depends on the test distribution set by the problem, but not on the target function that we want to learn. We show how to obtain this distribution in both discrete and continuous input spaces, as well as how to approximate it in a practical scenario. Benefits of using this distribution are exemplified in both synthetic and real data sets.

In order to apply the dual distribution in the supervised learning scenario where the training data set is fixed, it is necessary to use weights to make the sample appear as if it came from the dual distribution. We explore the negative effect that weighting a sample can have. The theoretical decomposition of the use of weights regarding its effect on the out-of-sample error is easy to understand but not actionable in practice, as the quantities involved cannot be computed. Hence, we propose the Targeted Weighting algorithm that determines if, for a given set of weights, the out-of-sample performance will improve or not in a practical setting. This is necessary as the setting assumes there are no labeled points distributed according to the test distribution, only unlabeled samples.

Finally, we propose a new class of matching algorithms that can be used to match the training set to a desired distribution, such as the dual distribution (or the test distribution). These algorithms can be applied to very large datasets, and we show how they lead to improved performance in a large real dataset such as the Netflix dataset. Their computational complexity is the main reason for their advantage over previous algorithms proposed in the covariate shift literature.

In the second part of the thesis we apply Machine Learning to the problem of behavior recognition. We develop a specific behavior classifier to study fly aggression, and we develop a system that allows analyzing behavior in videos of animals, with minimal supervision. The system, which we call CUBA (Caltech Unsupervised Behavior Analysis), allows detecting movemes, actions, and stories from time series describing the position of animals in videos. The method summarizes the data, as well as it provides biologists with a mathematical tool to test new hypotheses. Other benefits of CUBA include finding classifiers for specific behaviors without the need for annotation, as well as providing means to discriminate groups of animals, for example, according to their genetic line.

Comportamento de uma área de resíduos de bauxita durante a operação de enchimento.

A técnica de deposição de resíduos de processamento de bauxita prevê uma operação inicial de lançamento de resíduos, por via úmida, no interior de reservatórios artificiais. Nesta fase de deposição, os resíduos são lançados em forma de polpa, sofrendo processos de sedimentação e adensamento por peso próprio. A vida útil dos reservatórios depende fundamentalmente do comportamento geotécnico do resíduo, cujas propriedades variam ao longo do tempo e da profundidade. A presente dissertação tem como objetivo a análise do comportamento de uma área de resíduos de bauxita durante a operação de enchimento do reservatório. Para tanto, foi utilizado o programa Plaxis, que executa análises tensão-deformação pelo método dos elementos finitos. Os parâmetros geotécnicos do resíduo foram definidos com base em ensaios de adensamento e piezocone, executados em amostras representativas da polpa de resíduos. Para calibração do modelo, a batimetria executada no reservatório foi confrontada com as cotas de enchimento previstas numericamente. Finalmente, a distribuição dos parâmetros geotécnicos (peso específico, índice de vazios, permeabilidade) com a profundidade prevista numericamente foi confrontada com os valores medidos no campo, ao final da etapa de enchimento. O conhecimento da variação dos parâmetros geotécnicos com a profundidade ao final do enchimento é importante para avaliar o comportamento do reservatório na etapa de operação de alteamento, e para a estimativa do ganho de vida útil do reservatório. Os resultados permitiram avaliar o funcionamento da drenagem de fundo, a distribuição complexa dos excessos de poropressão ao final do enchimento, os perfis dos índices físicos com a profundidade e o ganho de vida útil. As análises mostraram que o programa foi capaz de reproduzir os processos simultâneos de sedimentação e adensamento por peso próprio, em análises de enchimento de reservatórios de resíduos.

Asymmetrical low-voltage ride through of brushless doubly fed induction generators for the wind power generation

Compared with the Doubly fed induction generators (DFIG), the brushless doubly fed induction generator (BDFIG) has a commercial potential for wind power generation due to its lower cost and higher reliability. In the most recent grid codes, wind generators are required to be capable of riding through low voltage faults. As a result of the negative sequence, induction generators response differently in asymmetrical voltage dips compared with the symmetrical dip. This paper gave a full behavior analysis of the BDFIG under different types of the asymmetrical fault and proposed a novel control strategy for the BDFIG to ride through asymmetrical low voltage dips without any extra hardware such as crowbars. The proposed control strategies are experimentally verified by a 250-kW BDFIG. © 2012 IEEE.

基于模糊行为分析的移动自组网入侵检测

移动自组网络是一种不需要基础设施的网络．在这种网络中，移动节点是自组织的，并且需要互相提供网络路由服务．自组网络非常容易受到攻击，特别是内部攻击．提出了一个基于模糊行为分析的入侵检测方案，以检测网络内部的路由攻击．利用邻接节点监测，通过分析节点路由行为与路由规范的偏差，发现恶意行为．在数据分析的过程中引入了模糊路由行为分析的方法，大大降低了误报率．仿真实验表明，该方案能有效地检测出路由入侵行为，而将误报率控制在一个较低的水平．

地震力对高架桥梁上轨道车辆的动态分析与安全性研究

The stability and derailment behavior analysis of railway vehicle system has been discussed by many papers in the past. In stability, give first place to consider hunting behavior of vehicle, therefore most of papers was only consider lateral and yaw motion, but vertical motion is the important factor in derailment behavior, and it will be quite effect in stability. We will probe the running stability and derailment behavior of railway vehicle moving on the viaduct in this paper. In this paper, we use Nadal’s formula to get the derailment quotient. In this paper, the railway vehicle is considered to be three subsystems, carbody, bogie and wheelset. There are secondary suspension systems between carbody and bogies, and primary suspension systems connecting bogies and wheelsets. A vehicle with vertical, lateral, roll, and yaw directions motion is considered to derive the mathematical equations. A vehicle with three-dimensional model has 16 degrees of freedom is used to develop the equations of train motion. In this study, results show that the track shift force and derailment factor increase with an increase of ground acceleration. But for the track shift force and derailment factor, the effects of track irregularities and train speed are very small. Key words: earthquake, railway vehicle, viaduct, derailment factor.

个体人格类型与气味偏好的关系

So far the studies on personality are based on indirect way due to the complexity and limitation. Present research attempt to find another route to approach personality through olfaction. The framework of present research is on account of a modern personality theory model produced by the British psychologist Eysenck. The aim of present research is to prove a correlation between olfaction and personality because sensation and perception of the olfaction on special part of brain closely related to emotional arousal. This research was carefully designed and performed by both psychological questionnaire and olfaction examination. The results indicated some good correlation between smell sense and personal character, which can by applied into personality and behavior analysis.

Skuteczność metod stosowanej analizy zachowania (SAZ) w rehabilitacji dzieci z autyzmem

Wydział Studiów Edukacyjnych: Zakład Pedagogiki Specjalnej

Habit reversal training as a treatment for refractory OCD - A case study

Nearly 4 million American men and women from all geographic, ethnic, or economic backgrounds are diagnosed with obsessive-compulsive disorder (OCD). While a combination of cognitive behaviour therapy (CBT) and psycho-pharmaca seems successful for 50% to 60% of patients, for intractable cases the typical recommendation is more medication or more CBT, however there is little evidence that the intensified treatment regimen is successful. In this paper, habit reversal training, including awareness training, competing/other response training, self-monitoring, social support, and generalisation, was implemented with a long-term treatment-refractory OCD patient. Treatment gains and long-term maintenance indicate the potential of habit reversal procedures with these patients.

Video games in the classrooms: implications of a disruptive innovation to develop the Multiple Intelligences

The present study aims to identify the framework of personal, organizational and technical variables that contribute to the viability and successful of innovative educational practices with video games within the school context to enhance the multiple intelligences. For this purpose, advantage was taken on the information previously collected through a questionnaire about the views, thoughts and experiences of a group of teachers of childhood and primary education (N=25) who voluntarily participated in a blended training activity from Center of Teachers (CEFIRE) of Valencia, around a community of practice aimed at promoting and advising projects for implementing educational video games in the classroom. The mixed methodology adopted has allowed the following: a) describe the relationship between their degree of development and daily use made of ICT in the classroom, their level of familiarity with video games,  their previous experience to integrate them for educational purposes..., and their participation in projects that focus on game-based learning; b) conduct content analysis of the opinions and thoughts expressed in a forum for teachers on innovation on and methodological strategies adopted reflected in a virtual board; and c) develop a SWOT analysis: Strengths, Weaknesses, Opportunities and Threats inherent in the implementation of experience with video games in the classroom. Among the conclusions, it is highlighted that, even though most did not have specific training or enough technological resources and the planning and implementation of innovation required them a great investment of time, their personal interest, the support given by members of the online community of practice, helped to encourage their activity, along with receptivity, positive attitude and high motivation of students with the experience. These aspects have been crucial to promote successful innovative practices with video games.

El uso de la musicoterapia para la mejora de la comunicación de niños con Trastorno del Espectro Autista en Aulas Abiertas Especializadas

Los beneficios que aporta la musicoterapia en alumnos con Trastorno del Espectro Autista, han sido demostrados profusamente por los distintos autores, si bien carecemos de literatura suficiente sobre su utilización en las Aulas Abiertas Especializadas en colegios ordinarios (Aulas TEA). En este sentido, el objetivo del trabajo, ha consistido en analizar qué mejoras aporta la musicoterapia al desarrollo de la comunicación en los alumnos con Trastorno del Espectro Autista dentro de las Aulas Abiertas de los CEIPs de Castilla-La Mancha y la Comunidad Autónoma de Madrid. Para ello, se ha realizado una amplia revisión documental de fuentes de referencia y se ha entrevistado a los docentes responsables de las Aulas Abiertas Especializadas que utilizan actividades de musicoterapia como recurso en el aula. Se concluye el artículo manifestando, en primer lugar, la escasa integración de la musicoterapia en las aulas TEA (menos del 20% de los centros). En aquellas aulas que sí se programa con actividades de musicoterapia, los beneficios que ésta aporta se ven reflejados en un incremento claro de la intención comunicativa en los alumnos. Además, a la hora de planificar las actividades se tiene muy en cuenta conocer las preferencias y la historia musical del niño. No obstante, existen factores que impiden el aprovechamiento total de las posibilidades terapéuticas de la musicoterapia debido, especialmente a: a) una escasa formación del profesorado y b) un espacio inadecuado para poner en práctica una sesión de musicoterapia.

Science for sale in a free market economy: But at what price? ABA and the treatment of autism in Europe.

Educating the public accurately about Applied Behavior Analysis (ABA) is an important undertaking, not least because misconceptions and myths about ABA abound. In this paper we argue that, unfortunately, the efforts of many dedicated professionals and parents to disseminate accurate information about the benefits of ABA for children diagnosed with autism spectrum disorder (ASD) are damaged by a few behavior analysts whose focus seems to be more on monetary gains than social responsibility. We cite examples of the resulting harm to the public image of behavior analysis from a number of European countries. We conclude by calling upon fellow scientists to unite in their opposition to unscrupulous abuses of free market forces for short-term monetary gains that damage the dissemination of the science of behavior analysis and thereby ultimately disadvantage those who should benefit primarily from our science, i.e., some of the most vulnerable citizens of society.

ABA-Based Programs for Children Diagnosed With Autism Spectrum Disorder: Parental and Professional Experiences at School and at Home

Having a child diagnosed with Autism Spectrum Disorder (ASD) poses a range of challenges to families, many of which can be addressed through appropriate intervention. A study of parental (n = 95) and professional (n = 67) experiences was carried out in relation to two settings: (a) schools that provided intensive interventions based on the science of Applied Behavior Analysis (ABA), and (b) non-intensive ABA-based home programs. Results show that parents whose children attend ABA-based schools were generally more satisfied with their child's educational provision, monitoring procedures, and level of staff training, than parents who were not offered ABA-based education in schools. © 2012 Copyright Taylor and Francis Group, LLC.