فهرست مطالب abbas toloui ashlaghi

Introduction :

Driving behavior refers to a set of actions and reactions that are relatively stable, visible, measured, and predicted by humans in the field of traffic and the use of transportation systems, which are caused by external stimuli, either software or hardware, on how they and other road users move. It affects and can have positive or negative effects on the flow of traffic. In this research, attention has been turned from a linear view of the problem to a non-linear and multifactorial view. This research seeks to investigate driving behavior using simulation based on the dynamic system approach. The main goal of the article is to present a practical model resulting from the design of driving behavior in Tehran city in interaction with road and technology elements.

In order to achieve this goal, while studying the literature and background of the subject and reviewing the available documents and data, the most important driving behavior variables were collected and based on this, the dynamic hypotheses of the model were identified and selected. In the following, cause and effect diagrams and accumulation-flow diagrams were drawn and mathematical functions related to the relationship of model variables were extracted. In this research, the opinions of experts in different executive departments were used in the form of semi-open interviews. The main part of the required data has been collected and analyzed from the existing data banks in the traffic related units of Tehran. At the end, after testing the dynamic model using Vansim software, different scenarios were proposed to apply the model. The results of the selected scenarios show improvement in variables related to driving behavior in the short term and its reduction in the long term.

The results of the implementation of the dynamic model created for two sets of scenarios, one set has two scenarios (including the variables of economic growth and productivity) and the second set has three scenarios (including the variables of investment speed in technology, depreciation speed technology and the speed of technology growth), determined and showed that the greatest impact on the growth rate of automobile technology is affected by the increase in investment in this field; The effectiveness of preventive technology depends more than any variable on the speed of technology development, and in the matter of accidents, although all the changes in the mentioned situations are important and lead to a reduction in accidents, other analyzes showed that this reduction will decrease over time. And its changes will be close to zero (it will not be equal to zero, but it is close to it) and it is necessary to compensate for this by using other variables such as police authority.

The results obtained can be expressed as follows: First, the promotion of order, which can be considered as a function of attention to safety and the promotion of public culture, and can be achieved as a result of the increase in national income per capita, is an effective factor on reducing accidents; Secondly, the promotion of preventive technologies will play a significant role in increasing driving safety and thus reducing accidents, and thirdly, increasing the capacity of roads cannot play an effective role in reducing the rate of accidents and sometimes it will have the opposite result.Based on this and relying on the introduced model and the findings derived from its implementation, it can be suggested that the more the investment in automobile technology increases, the more products will improve, its effectiveness and growth. Also, the speed of growth of automobile technology can further strengthen the preventive role of technology. It seems that even if the country has a significant growth in its income, it will not be possible to solve the traffic problem through the development of urban infrastructure.

Technology transfer is an important element of the relationship between construction companies, especially in the international construction industry, and in construction, it is a source of creativity that enables the design and construction of the company with new technologies. The process of technology transfer is based on value and Product protection. Technology transfer (technology transfer) has become increasingly important since the formulation of the International Code of Practice for Technology Transfer by UNCTAD in 1985 and has become a preferred platform for bridging the gap between developed and developing countries. At the same time, International Joint Ventures (IJVs) have been proposed as a tool to change the perception that contractors in developing countries can position themselves to receive technology from their developed counterparts. So far, technology transfer has been studied through a variety of theoretical lenses. However, predominantly, the perspectives used have assumed a linear process, viewing technology as merely a destination and effectively ignoring the multiple interactions in technology transfer. A counterargument has been proposed to observe technology transfer, which is a process of social-technical interactions that relies on learning. With the presented results, it raises the importance of studying technology transfer as a system of socio-technical interactions on a construction project in order to understand how learning plays a role in this process.

Competency management and development are vital tools to increase competition in organizations and the goal of the competency-based approach is to "determine the competencies needed by top people in key positions across the organization, efforts to close competency gaps through effective selection and training and ensuring that good performance is recognized and rewarded." Now, considering the increasing role of state banks as the most important financial and economic institution in the construction of the country, the present study seeks to provide an intellectual capital model with a competency approach of managers in state banks and intends to enumerate the dimensions of the main and important competencies of the managers of state- banks to help senior executives of state banks identify the right people, with the advent of the information technology revolution, the global economic paradigm changed dramatically after the 1990s. In today's economy, knowledge, as the most important asset, has replaced financial and physical capital. Intellectual assets are non-competitive assets. Unlike physical assets that can only be used to do a particular task at a particular time, intellectual assets can be used simultaneously for several specific purposes. This ability is one of the most important criteria for the superiority of intellectual assets over physical assets.This research seeks to provide an intellectual capital model with a competency approach of managers in state banks. Based on the findings, intellectual capital can be influenced by the factors of customer capital, social capital, structural and human capital, knowledge capital, foreign capital, domestic capital, spiritual capital, technical capital and communication capital. The components and indicators related to each of the mentioned dimensions have been discussed separately in the previous pages. Based on in-depth semi-structured interviews with experts, it can be concluded that: human capital, structural capital and social capital as the first to third priorities are the dimensions of the intellectual capital model of state-owned banks with the competency approach of managers.

The purpose of this paper is to propose a novel intelligent model for AIDS/HIV data based on expert system and using it for developing an intelligent medical consulting system for AIDS/HIV.

In this descriptive research, 752 frequently asked questions (FAQs) about AIDS/HIV are gathered from numerous websites about this disease. To perform the data mining and extracting the intelligent model, the 6 stages of Crisp method has been completed for FAQs. The 6 stages include: Business understanding, data understanding, data preparation, modelling, evaluation and deployment. C5.0 Tree classification algorithm is used for modelling. Also, rational unified process (RUP) is used to develop the web‑based medical consulting software. Stages of RUP are as follows: Inception, elaboration, construction and transition. The intelligent developed model has been used in the infrastructure of the software and based on client’s inquiry and keywords related FAQs are displayed to the client, according to the rank. FAQs’ ranks are gradually determined considering clients reading it. Based on displayed FAQs, test and entertainment links are also displayed.

The accuracy of the AIDS/HIV intelligent web‑based medical consulting system is estimated to be 78.76%.

AIDS/HIV medical consulting systems have been developed using intelligent infrastructure. Being equipped with an intelligent model, providing consulting services on systematic textual data and providing side services based on client’s activities causes the implemented system to be unique. The research has been approved by Iranian Ministry of Health and Medical Education for being practical.