Mostafa Nejad Taheri; Mohammad Taghi Taghavifard; Abbas Toloei Eshlaghy
Hossein Hajipourfard; Behzad Soltani; Abbas Tolouei Eshlaghi; Seyyed Habibollah Tabatabaeian
Abstract
IntroductionIn recent decades, a large number of information technology-based businesses have risen to the top of the world's top companies list. Until the early years of the third millennium AD, large companies and owners of oil wells and mineral resources, along with industrial production complexes ...
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IntroductionIn recent decades, a large number of information technology-based businesses have risen to the top of the world's top companies list. Until the early years of the third millennium AD, large companies and owners of oil wells and mineral resources, along with industrial production complexes that are several decades and several hundred years old, have been the flagships of the list of the largest and most successful companies in the world, but this dominance has been challenged by IT-based start-ups during the last two decades. According to the report of the Economist magazine, between the years 2006 and 2016, the top of the list of the world's top companies was suddenly empty of companies active in the fields of energy and production, and their places were filled by information technology young companies. These changes are clear examples of the transition of the world economy from resource-oriented to data-oriented.According to international reports, the value of the production of information technology businesses from the total production of the world’s economy has increased by 29% in the period of 5 years, between 2015 and 2020, reaching 24 trillion and 615 billion dollars, and the share of the digital economy has reached 25% of the total world economy. In other words, the digital economy has swallowed two and a half percent of the share of the traditional economy in 5 years. (UNCTAD, 2019)These facts show the need to pay attention to the position of businesses based on information technology.Theoretical LiteratureIT-based businessesBusinesses that convey their value proposition to customers through various information technology tools, and the main components of their business model are based on information technology, are called information technology-based businesses.Digital EconomyThere are three defined levels in the definition of digital economy. Its limited definition as the main core of the digital economy includes specialized products in the field of information and communication technology, including hardware production, software development, and the provision of Internet and telecommunication services. In the second level, in addition to the central core, it also includes the added value resulting from digital platforms and services. The third level of definition, referred to in the literature as the digitized economy, includes the added value resulting from the use of information technology in all industries.MethodologyThe present research is based on a model that is the product of a qualitative study. The mentioned model became the basis for designing the research questionnaire. After evaluating the validity of the content, the designed questionnaire was sent to a community consisting of three different groups of industry activists, and the received data was analyzed using the Structural Equations Method.ResultsAfter conducting the tests and making the corrections, the final research model was confirmed, consisting of 5 main categories and 22 subcategories or indicators. The main categories counted include 1) organizational factors, 2) environmental factors, 3) policy factors, 4) economic results, and 5) non-economic results.Internal characteristics refer to the factors that a business must focus on for success. In other words, if the following factors are present in a business, the chance of being successful in the market are much higher than that in businesses that did not pay attention to these factors. In other words, this group of factors refers to the internal coordinates of businesses prone to growth and development. These factors include the right project team, business model, specialized human resources, access to financial resources, innovation, and effective marketing.The second group of factors affecting the development of businesses under research are environmental factors. These factors include five categories of sanctions, inappropriate laws, weak information technology infrastructure, economic stagnation of the country, and problems of the information technology innovation system.The third category of factors explained in this research is the role of the government in the development of such businesses in the country. These factors have focused on how the government intervenes in this matter in such a way as to facilitate and accelerate the growth of these businesses. Although these factors are also relevant for businesses in different sectors, the examples of these policies in IT businesses and how the government supports them are different.ConclusionBased on the results of this research, policy factors in this model are an exogenous and independent variable that plays a key role in the development of this category of businesses. This issue confirms the necessity of the government's presence and adoption of policies to support the development of these businesses.
Mohammad Baradaran; Abbas Tolouei Ashlaghi; Mohammad Al i Afshar Kazemi; Mohammad Reza Motadel
Abstract
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 ...
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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. An access point is called an access point whose task is to send a message. Given that the number of messages sent to the network decreases, there are two advantages to the low cost of sending messages as well as full coverage. So instead of sending the message directly to each car individually, the messages are sent to the roadside equipment and then sent to the vehicles passing the road through the roadside equipment. This roadside equipment is called fixed nodes. Certainly, sending messages to all these fixed nodes is not optimal and has two major drawbacks. The first disadvantage is that a car may cross several fixed target nodes and receive all of these fixed target nodes of the message. Also the second problem is that the number of messages received creates terrible statistics and imposes a computational overhead. So the solution to this problem is to select some of these fixed nodes as the target constant node. 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.
Leily Ghomashchi; Mohammad Reza Motadel; Abbas Toloee ashlaghi
Abstract
Due to the lack of direct communication between teacher and learner in the e-learning environment, learners in this environment need education with good support and personal redemption. Using this research, you can have new technology in e-learning on the emotions and moods of learners. The statistical ...
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Due to the lack of direct communication between teacher and learner in the e-learning environment, learners in this environment need education with good support and personal redemption. Using this research, you can have new technology in e-learning on the emotions and moods of learners. The statistical population of Farzanegan 7 high school math students is 75 people. In order to find 5 different types of learners' emotions, students are divided into 5 groups of 15, each of which is specifically exposed to different conditions. You have to experience happiness, anger, fear, frustration and hatred, and their face information is posted through the webcam. Your videos are recorded and the learners' emotions are measured and detected in different situations according to the neural network's deep learning algorithms by the Face Reader incremental software system. There has been a research method of designing a fuzzy expert system and a fuzzy inference system. And makes learners discover. And reject. Created within ranges. This change indicates that it increases the feeling and increases the negative feeling. Keywords: Internet of Things, e-learning, learners' emotions.
