جستجوی مقالات مرتبط با کلیدواژه « internet » در نشریات گروه « عمران »

Smart transport is an indispensable necessity in today's smart cities. In this thesis, six scenarios were implemented based on intelligent transportation. In the first scenario, the speed control process was implemented. In the second and third scenarios, the process of traffic planning was even and odd. In the fourth scenario, the vehicle relief system was implemented. In the fifth scenario, an emergency relief system was implemented. In the sixth scenario, the message was executed at the time of the car theft.The message delivery process has been fully implemented in the smart city area so that all vehicles in the smart transport process receive the message. Only send the message to fixed target nodes and send it to the cars passing by. The first challenge of this thesis is the selection of these target constant nodes, which is implemented using the fuzzy ranked idealized programming algorithm. After solving the first challenge due to the communication board problem in the car network, the challenge of routing the message from the access point to the fixed node is raised. The solution to this challenge is computed using the Dijkstra algorithm and compared with the eTGMD algorithm in terms of message delivery rate, delivery delay, number of packets used, and number of fixed target nodes. The results of the proposed algorithm show a good and optimal improvement over the eTGMD algorithm.

Information sharing through semantic Web services is the new essential paradigm in the 21st century. The standard web provides a suitable platform to put different data in a simple and understandable manner. Although the standard web is successful in gathering، retrieval and accessing to this information is difficult. One of the main sources of such problems is due to contradictory in different contexts and definitions. Ontology is expected to play an important role in this context. Ontology provides a representation of concepts of the real word، as greed by a community of people. It serves as semantic reference to solve interoperability problem. Surely football is one of the interesting team sports nowadays. It is very noteworthy from different economic، social and even political viewpoints. Ontology can be used to form a knowledge representation about football and provides a shared vocabulary in its related internet sites. Within the framework of this paper the set of concepts within football domain and the relationships between those concepts are presented. It is used to describe the entities within the sites of football. The effort was done to share many structural similarities، regardless of the language in which they are expressed by describing individuals، classes or concepts، attributes، and relations. As space and spatial data meet football in different ways، spatial ontology has become the cornerstone of our ontology.

Road crashes cause more than 20 thousand fatalities each year in Iran. Human factors consisting of driving styles and skills have been recognized as important contribiuting factors in most traffic crashes. Focous on driving behavior has been the subject of many researches. Driver Behavior Questionnaire (DBQ) in this regard is a relatively new, important and widely used instrument, devised to identify the components of the structure of aberrant driving behaviors. Surveys based on DBQ, urges respondents to self-report the frequency of aberrant driving behaviors during a specific period of time. Investigation of driving styles is estimated to be the subject of more than 170 researches since DBQ was first by Reason et al in the 90’s. Since then, many researchers have employed the original DBQ or a modified version, either to explore behavioral components (exploratory approach) or to confirm a given setting based on authors’ theories or observations, in group(s) under the study (confirmatory approach). Lack of exploratory analysis and spatial dispersion of respondents in the previous domestic researches, motivated the authors of this paper to conduct a new survey to investigate aberrant driving behaviors among Iranian drivers applying exploratory approach. The original DBQ was modified, validated and dispersed between Iranian drivers through an internet-based survey. Recent increase in the number of internet users in Iran, more interactions between respondants and the questionnaires, the power of self-administration, massive reductions in cost and time over interviewer-administered surveys, building a database, were among factors yielding hope that the sample would be comprehensive enough to comprise different groups of drivers. Using social networks and email services, the proposed questionnaire was exposed to internet users and a sample of 213 drivers (165 males and 48 females) from 40 cities inside and outside Iran, filled out the 37-item DBQ. Principal Component Analysis (PCA), with Varimax Rotation implied, a five-factor structure: “Push and Speed Violations”, “Disregarding the Regulations”, “Lack of Concentration while driving”, “Aggressive Violation” and “Lapses and Error” for Iranian drivers. These components account for 42.2 percent of the total variance. It is worth noting that the distinction between different kinds of violation and lapses and error support the fact that this new structure is consistent with the previous studies. Moreover, using cell phone while driving (both sending texts and talking), aggressive violations and push and speed violations are the most frequent aberrant driving behaviors. Compared to the other countries, drivers in Iran reported more violations than drivers in industrialized countries and fewer violations than Asian drivers. Results also show that unlike industrialized countries, Iranian drivers reported more aggressive violations than ordinary violations.