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low up to room temperature (–190 °C ≤ T ≤ 25 °C or even higher) are very important for the analysis of possible conduction mechanisms in such composites [5 - 13] . However, such models are not recommended for designers and users of electronic circuits because of their complexity [14] . The mathematical models, worked out on the basis of measurements, are a good solution to this situation. Therefore, the aim of this paper was to elaborate two-dimensional mathematical (behavioral) modeling method for thick-film resistors working in low-temperature and at DC or low

Several behavioral models of current active elements for experimental purposes are introduced in this paper. These models are based on commercially available devices. They are suitable for experimental tests of current- and mixed-mode filters, oscillators, and other circuits (employing current-mode active elements) frequently used in analog signal processing without necessity of onchip fabrication of proper active element. Several methods of electronic control of intrinsic resistance in the proposed behavioral models are discussed. All predictions and theoretical assumptions are supported by simulations and experiments. This contribution helps to find a cheaper and more effective way to preliminary laboratory tests without expensive on-chip fabrication of special active elements.

Abstract

Powder mixtures compaction behavior can be quantitatively expressed by densification equations that describe the relationship between densities - applied pressure during the compaction stages, using correction factors. The modelling of one phase (metal/ceramic) powders or two-phase metal-ceramic powder composites was studied by many researchers, using the most commonly compression equations (Balshin, Heckel, Cooper and Eaton, Kawakita and Lüdde) or relative new ones (Panelli - Ambrózio Filho, Castagnet-Falcão- Leal Neto, Ge Rong-de, Parilák and Dudrová, Gerdemann and Jablonski. Also, for a better understanding of the consolidation process by compressing powder blends and for better prediction of compaction behavior, it's necessary the modeling and simulation of the powder pressing process by computer numerical simulation. In this paper are presented the effect of ceramic particles additions in metallic matrix on the compressibility of composites made by P/M route, taking into account (a) the some of above mentioned powder compression equations and also (b) the compaction behavior modeling through finite element method (FEM) and discrete element modeling (DEM) or combined finite/ discrete element (FE/DE) method.

Summary

The association between adolescent drinking and drinking of significant others is well known but underlying mechanisms are still not well understood. The purpose of the study was to investigate the association between social drinking in adolescents and drinking patterns of their significant others. We conducted a survey using a self-completed questionnaire on alcohol drinking habits. Of 903 students (aged 15-19), 279 (30.9%) were found to be abstainers (NDA) and 455 (50.39%) – social drinkers (SDA). These two groups were compared statistically about drinking patterns of their significant others. It was found that SDA were more likely to have fathers (OR=0.26; 95%CI=0.19-0.37), mothers (OR=0.26; 95%CI=0.19-0.37), friends (OR=0.26; 95%CI=0.19-0.37) and lovers (OR=0.26; 95%CI=0.19-0.37) that drank socially than NDA, but there were no significant differences in regular drinking of their fathers, friends and lovers. Only SDA mothers were more likely to drink regularly (OR=0.26; 95%CI=0.19-0.37). SDA were also more likely to receive alcohol offers from all their significant others, except from lovers. Social drinking in adolescence seems to be strongly socially motivated by drinking modeling and social pressure. The SDA mothers’ regular drinking is hard to explain in terms of social learning and social control theory and needs an alternative explanation.

Implementation of the developed behavioural model 10.2478/9788395771347-006 of BSG in Synopsys/Saber simulator 59 6 IMPLEMENTATION OF THE DEVELOPED BEHAVIOURAL MODEL OF BSG IN SYNOPSYS/SABER SIMULATOR 6.1 INTRODUCTION One essential requirement for a simulation environment of AEPS consisting of many nonlinear components is high computing efficiency. A key technique for achieving this goal is using an advanced network solver such as Synopsys/Saber and the modelling lan- guage MAST [16,114]. The Synopsys/Saber simulation environment – originally developed

A Virtual A/D Converter Testbench for Educational Purpose — Development and Results

This paper deals with a new concept of virtual testing engine for analogue-to-digital converters (ADCs). The whole system consists of program procedures to extract the most important ADC errors expressed in terms of integral and differential non-linearity (INL and DNL). The developed testbench is especially suitable for educational purpose because of modular conception of the system. The proposed testing engine is implemented in Maple™, bringing an ideal possibility to make a complex system for the simulations of ADC at the virtual level as well as at the circuit level. The system is a part of a complex environment using the Servo-loop and the Histogram method, combining their features so as to obtain high level of versatility. However, in this paper we concentrate only on the results from the Servo-loop method. The Servo-loop solution proposed here employs an effective search algorithm and improves convergence properties resulting in a significant reduction of the simulation time.

Abstract

The concept of the method based on the behavioural approach as the method minimizing hazardous behaviours of employees has been discussed in this article. The main focus has been laid upon one of the largest economic sectors, i.e. is the construction industry. Thereby, risks arising from an improper behaviour of construction workers, and also a factor contributing to it, have been described here. The influence of employee’s age and day time have been analysed in terms of accident rates. The attention was also paid to alcohol consumed by workers during and after their work and to the influence that it has on dangerous behaviours. Different ways of approaches to the worker to improve safety and hygiene at work, as well as the manner in which the approach to employee should change depending on the situation, have been presented too.

Summary

Parental alcohol drinking is associated with an increased risk of alcohol consumption in adolescents and social drinking is often the first step to regular alcohol consumption. The purpose of the study was to investigate the association between social drinking in adolescence and parental alcohol consumption. We conducted a survey, using a self-completed questionnaire about alcohol drinking habits. Of 903 students (aged 15-19), 279 (30.9%) were found to be abstainers (NDA) and 455 (50.39%) were social drinkers (SDA). These two groups were statistically compared for drinking patterns of their parents. It was found that SDA are fourfold less likely than NDA to have two alcohol abstaining parents (OR=0.26, 95%CI =0.19-0.37) and fourfold more likely to have two alcohol drinking parents (OR=3.89, 95%CI =2.77-5.45). There were no significant differences between SDA and NDA regarding probability to have one abstaining and one socially drinking parent, and SDA were less likely to have one abstaining and one regularly drinking parent (OR=0.54, 0.37-0.8). The social learning theory explains well adolescent drinking patterns when there is no contradiction in parental modeling. It seems, however, that the presence of contradicting patterns of parental alcohol drinking needs another explanation. Since contradicting parental modeling prevents adolescents from social drinking, it could be considered in health prevention intervention.

Abstract

Leadership and organizational citizenship behavior (OCB) stayed at pinnacle in the arena of organizational behavior research since decades and has attained significant consideration of scholars pursuing to define multifaceted dynamics of leadership and their influence on follower’s behavior at work. The voluntary behavior of Organizational citizenship improves organizational effectiveness, and it goes beyond formal job duties. This study attempts to explore the association amongst transformational leadership and organizational citizenship behavior of teachers in public sector higher education institutions in Pakistan. Study of organizational citizenship behavior in educational organizations and academicians is of high value that definitely requires attention. This study examines the direct and indirect influence of transformational leadership through exploring the mediating role of emotional intelligence. The model was tested by employing structural equation modelling technique on survey responses collected from academicians. Results from 220 responses indicated that relationship between transformational leadership and Organizational Citizenship Behavior is statistically significant where Emotional Intelligence plays an important role as a mediator. The results support and add to the positive effects of transformational leadership style interconnected with extra role behavior at work making it more meaningful. The findings make a significant contribution to leadership and organizational behavior literature in higher education sector and propose that organizations should implement practices that help in enhancing the level of organizational citizenship behavior in organizations.

Abstract

The ability to analyse the traffic and urban mobility pattern with the help of video analytics, which occur in massive volumes of surveillance video will lead us to provide a knowledge based for the urban planners and policy makers to come up with better construction planning. This will soothe the needs of urban commuters and thereby saving unnecessary spillage of money on the construction projects. In this research project, we present an artificial intelligence framework for transport video analytic; which autonomously models behavioural patterns of commuters and flow of traffic, wherein it taxonomically classifies essential patterns based on geometrical feature points of interest to facilitate reality mining. This behavioural pattern of commuter and traffic flow can later be queried and fetched through the newly mathematically programmed ontological data warehousing module, where such reality mined contextual data could be used for sharing essential data.