Analytical modeling of driver response in crash avoidance maneuvering. Volume III: a trim model and computer program for determining ground vehicle steady state operating conditions and quasilinear stability coefficients. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Analytical modeling of driver response in crash avoidance maneuvering. Volume IV: user's guide for linear analysis, nonlinear simulation, part task simulation. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Driver-vehicle effectiveness model. Volume I: final report.

National Highway Traffic Safety Administration, Washington, D.C.

Evaluation and correlation of driver/vehicle data. Volume I: summary report.

National Highway Traffic Safety Administration, Washington, D.C.

Evaluation and correlation of driver/vehicle data. Volume III: literature survey.

National Highway Traffic Safety Administration, Washington, D.C.

Accident avoidance skill training. Final report.

National Highway Traffic Safety Administration, Office of Driver and Pedestrian Research, Washington, D.C.

Multi-Agent Security System based on Neural Network Model of User's Behavior

It is proposed an agent approach for creation of intelligent intrusion detection system. The system allows detecting known type of attacks and anomalies in user activity and computer system behavior. The system includes different types of intelligent agents. The most important one is user agent based on neural network model of user behavior. Proposed approach is verified by experiments in real Intranet of Institute of Physics and Technologies of National Technical University of Ukraine "Kiev Polytechnic Institute”.

The Conception of Creation of Integrated Development Environment for Computer Training Systems

The various questions of creation of integrated development environment for computer training systems are considered in the given paper. The information technologies that can be used for creation of the integrated development environment are described. The different didactic aspects of realization of such systems are analyzed. The ways to improve the efficiency and quality of learning process with computer training systems for distance education are pointed.

Neural network based off-line handwritten text recognition system

This dissertation introduces a new system for handwritten text recognition based on an improved neural network design. Most of the existing neural networks treat mean square error function as the standard error function. The system as proposed in this dissertation utilizes the mean quartic error function, where the third and fourth derivatives are non-zero. Consequently, many improvements on the training methods were achieved. The training results are carefully assessed before and after the update. To evaluate the performance of a training system, there are three essential factors to be considered, and they are from high to low importance priority: (1) error rate on testing set, (2) processing time needed to recognize a segmented character and (3) the total training time and subsequently the total testing time. It is observed that bounded training methods accelerate the training process, while semi-third order training methods, next-minimal training methods, and preprocessing operations reduce the error rate on the testing set. Empirical observations suggest that two combinations of training methods are needed for different case character recognition. Since character segmentation is required for word and sentence recognition, this dissertation provides also an effective rule-based segmentation method, which is different from the conventional adaptive segmentation methods. Dictionary-based correction is utilized to correct mistakes resulting from the recognition and segmentation phases. The integration of the segmentation methods with the handwritten character recognition algorithm yielded an accuracy of 92% for lower case characters and 97% for upper case characters. In the testing phase, the database consists of 20,000 handwritten characters, with 10,000 for each case. The testing phase on the recognition 10,000 handwritten characters required 8.5 seconds in processing time.

Maurer, Markus: Skill Formation Regimes in South Asia, A Comparative Study on the Path-Dependent Development of Technical and Vocational Education and Training for the Garment Industry (Komparatistische Bibliothek; Bd. 21). Frankfurt am Main: Peter Lang 2011 [Rezension]

Rezension von: Maurer, Markus: Skill Formation Regimes in South Asia, A Comparative Study on the Path-Dependent Development of Technical and Vocational Education and Training for the Garment Industry (Komparatistische Bibliothek; Bd. 21), Frankfurt am Main: Peter Lang 2011 (449 S.; ISBN Skill Formation Regi)

Developmental TVET rhetoric in-action: the White Paper for post-school education and training in South Africa

This paper explores the extent to which latest developments in the Technical and Vocational Education and Training System in South Africa respond to key principles espoused for a developmental, democratic and inclusionary ideal. The White Paper for post school education and training approved by Cabinet in November, 2013 is referred to by the Minister as the “definitive statement of the governments vision for the post school system” and as such represents a crucial strategy document intended to chart the TVET direction to 2030. Using key theoretical constructs from development theory, this paper provides an assessment of the TVET strategy contained is the paper and explores the extent to which it does respond to the agenda defined by the promise. It is argued that the challenges outlined are not yet able to provide the blueprint for a TVET transformative vision. It is concluded that while the development rhetoric contained in the paper is plausible, the creative tinkering of the system is unlikely to lead to the radical revisioning necessary for a truly transformative TVET system. The underlying assumptions regarding purpose, impact and outcome will need to be carefully reconsidered if the system is to be responsive to the promises of the democratic developmental ideal to which the government is committed. (DIPF/Orig.)

Training patterns of German companies in India, China, Japan and the USA: What really works?

The transfer of vocational education and training (VET) systems is currently the subject of lively international debate, but there has so far been very little documentation of the process or analysis of how such transfers are achieved in practical terms. This paper therefore considers the potential for transferring Germany’s ‘dual’ vocational training system to German subsidiaries abroad, specifically in China, India, Japan and the USA. Using the EPRG typology as a theoretical framework, the paper systematises the range of training strategies deployed by German subsidiaries. It analyses the findings of interviews with training officers and Directors of Human Resources in more than 40 German subsidiaries abroad. These interviews show clearly that local factors in the host country exert such a strong influence that it is not possible completely to transfer the German VET system to another country. What is more likely is that an accommodation is reached with local VET structures, local labour market conditions and other socio-cultural features. The findings suggest that policy borrowing in the area of VET is likely to be only partial and will be strongly influenced by the national characteristics of the host country. (DIPF/Orig.)

Remo : cargas concentradas de força e sua relação com a alteração de diferentes indicadores funcionais

Universidade Estadual de Campinas . Faculdade de Educação Física

Basquetebol

Universidade Estadual de Campinas. Faculdade de Educação Física

Asymmetric page split generalized index search trees for formal concept analysis

Formal Concept Analysis is an unsupervised machine learning technique that has successfully been applied to document organisation by considering documents as objects and keywords as attributes. The basic algorithms of Formal Concept Analysis then allow an intelligent information retrieval system to cluster documents according to keyword views. This paper investigates the scalability of this idea. In particular we present the results of applying spatial data structures to large datasets in formal concept analysis. Our experiments are motivated by the application of the Formal Concept Analysis idea of a virtual filesystem [11,17,15]. In particular the libferris [1] Semantic File System. This paper presents customizations to an RD-Tree Generalized Index Search Tree based index structure to better support the application of Formal Concept Analysis to large data sources.