هوش مصنوعی

Open Access Article

1 - An optimised hybrid method for ambulance dispatch based on complex networks and Artificial Intelligence
Zainabolhoda Heshmati Mehdi Teimouri mehdi zarkeshzade Hadi Zare

Nowadays, monitoring people’s health and helping those in need of medical attention is one of the most important responsibilities of governments. Emergency Medical Services (EMS) are therefore setup to provide timely care to victims of sudden and life-threatening injuri More

Nowadays, monitoring people’s health and helping those in need of medical attention is one of the most important responsibilities of governments. Emergency Medical Services (EMS) are therefore setup to provide timely care to victims of sudden and life-threatening injuries or emergencies in order to prevent needless mortality or long-term morbidity. Providing rapid EMS with minimum response time will help improve survival rates. However, factors such as limited ambulance resources, large coverage area and high call-rates have caused delays in EMS, which have lead to lower survival rates. In this research the problem of ambulance dispatching with regards to lowering the response time is discussed. Response time is the most important factor in evaluating the performance of various EMS, which is directly proportional to mortality and survival rates. The most common method to reduce response time in ambulance dispatching is to choose the nearest available ambulance unit, i.e. the nearest neighbor (NN). Other methods use call-priority, first-in first-out (FIFO), preparedness and hybrid algorithms. One of the latest methods used in ambulance dispatching is based on complex networks. This method will apply a higher priority to the call that is more centrally located with respect to other calls. A hybrid algorithm has been proposed in this research which exceed the previous methods in terms of response time reduction.The proposed hybrid approach is based on complex network analysis and a search algorithm, which relies on the important parameters of dispatch, yet presents fewer constraints and overcomes some of the difficulties of the previous methods. In addition, prioritizing emergency calls is also considered. To evaluate these proposed algorithms, a combination of various parameters and operating environments has been simulated. The results of the simulations show improvements in response time reduction compared to previous methods. Manuscript profile

Open Access Article

2 - Beautiful and Meaningful Iranian Names Production by Genetic Algorithm using Artificial Neural Network-Based Fitness Function
Amir Shahab Shahmiri bahare zamani saeed shiry

Beautiful and Meaningful Iranian Names Production by Genetic Algorithm using Artificial Neural Network-Based Fitness Function

Beautiful and Meaningful Iranian Names Production by Genetic Algorithm using Artificial Neural Network-Based Fitness Function Manuscript profile

Open Access Article

3 - Providing an optimal method for dispatching an ambulance based on complex networks and artificial intelligence
مهدی زرکش زاده Zainabolhoda Heshmati Hadi Zare Mehdi Teimouri

The goal of emergency medical services is to reduce deaths and complications caused by diseases and injuries. Rapid dispatch of emergency services and reduced response time lead to increased survival rates. Response time is one of the important criteria for measuring th More

The goal of emergency medical services is to reduce deaths and complications caused by diseases and injuries. Rapid dispatch of emergency services and reduced response time lead to increased survival rates. Response time is one of the important criteria for measuring the efficiency of emergency medical services. The usual method of sending ambulances is to send the nearest available unit, which pays attention to efficiency in the short term. One of the methods that has been recently mentioned in the field of ambulance dispatch is based on the analysis of complex networks. The purpose of this method is to send an ambulance to a call that is more central than other calls, which leads to better efficiency in the long run. Other methods in dispatching an ambulance are based on finding the best suitable route for service cars, and the time complexity of these methods is very high. In this article, using a hybrid approach and applying centrality criteria from complex network analysis and search methods based on artificial intelligence, an optimal and innovative method is presented to reduce the response time of emergency services. In addition, in the proposed method, the emergency priority of calls is also considered, which is an important variable in decisions. The proposed method has less limitations than the previous methods and the extensive simulation results confirm the significant improvement of this method compared to the previous methods such as the centrality method and the nearest neighbor method. Manuscript profile

Open Access Article

4 - Clustering Iranian Gas Industry Managers and Ranking Their Competencies via the EFQM Excellence Model-based Evaluation with an Artificial Intelligence Approach
Ali reza Zamanian Majid Jahangirfard Farshad Hajalian

10.52547/istd.31542.8.31.51

This study attempted to lay the ground for linking human resources data based on the results of the organizational excellence model for about 51 parent and subsidiary companies of the National Iranian Gas Company using artificial intelligence (AI) and machine learning m More

This study attempted to lay the ground for linking human resources data based on the results of the organizational excellence model for about 51 parent and subsidiary companies of the National Iranian Gas Company using artificial intelligence (AI) and machine learning methods. The goal was to present a model for clustering chief organizational managers based on the companies’ evaluation using the European Foundation for Quality Management (EFQM)-based excellence model. The unique characteristic of this method is that it is formed based on the actual performance and output of successful organizations, headed by successful managers and leaders. Accordingly, a performance-based excellence model can be achieved in the future. The outcomes of model evaluation for 2017, 2018, and 2019 for 51 companies affiliated with the National Iranian Gas Company were first clustered. Clustering was performed for 3776 pieces of data via AI-based methods, and coding was done in Python. This applied study aimed to design and develop a novel method for discovering the experts and scientifically classifying the organization’s human resources based on credible data. It also aimed to integrate novel scientific domains of AI, including clustering, to pave the ground for human resources research. In the applied dimension, the results were used in organizational planning and decision-making to generate a tool whereby the future managerial performance of the organization and staff can be predicted based on appropriate human resources data. Finally, a ranking is presented based on the competency gap by using Fisher discriminant ratio (FDR). Manuscript profile

Open Access Article

5 - Introducing robotic process automation as the connection point of Internet of everything with artificial intelligence projects
Seyed Omid Azarkasb Seyed Hossein Khasteh

10.61186/jstpi.34055.19.76.42

Robotic process automation is an emerging technology, which can be used to automate repetitive tasks with large but low volume. Automation space consists of providers of construction, operation and transfer contracts, consulting, business process automation and cloud ro More

Robotic process automation is an emerging technology, which can be used to automate repetitive tasks with large but low volume. Automation space consists of providers of construction, operation and transfer contracts, consulting, business process automation and cloud robotics process automation and markets. Automation refers to the use of technology to perform various tasks with minimal human intervention, so that the automation of the robotic process, intelligent process and various operations of the artificial intelligence business are its main components. In the meantime, the Internet of Things is one of the most up-to-date technologies in the new age of information and communication, which has a concept very close to the Internet of Things. The Internet of Things is a term used to describe physical objects around the world using their digital communication, while the Internet is all about data sets, considering people and processes. The reason for paying attention to the automation of the robotic process is the continuous expansion of the artificial intelligence market due to the widespread use of this technology in most important fields, especially in the components of the Internet. To make the most of robotic process automation, multiple discrete automations as well as artificial intelligence technologies can be used. With this approach, the robotic automation process can be considered as the connection point of everything Internet to software artificial intelligence projects. Therefore, robotic process automation, which aims to improve business processes, is proposed as an Internet connection point for everything with artificial intelligence projects. Manuscript profile

Open Access Article

6 - Designing a core competency model for Iranian gas industry managers based on the results of EFQM by artificial intelligence method
Ali reza Zamanian Majid Jahangirfard Farshad Haj alian

The success of organizations in achieving strategic goals is highly dependent on how the managers of that organization perform, and this success is more directly related to the selection and appointment of competent and knowledgeable managers at the top of the organizat More

The success of organizations in achieving strategic goals is highly dependent on how the managers of that organization perform, and this success is more directly related to the selection and appointment of competent and knowledgeable managers at the top of the organizational pyramid. Competency-based management is a strong approach to developing and maintaining the organization's human capital in the long run, and competency models are a useful tool for identifying and developing the knowledge, skills and abilities needed by managers. In general, competency is a set of knowledge, skills, attitudes, abilities, interests and personality traits that enable employees to perform job-related activities effectively and perform job performance as expected or beyond expectations. Do." In accordance with the competencies defined in the evaluation center of the managers of the National Iranian Gas Company and according to the nature of trainable competencies, three categories of communication competencies, managerial and leadership competencies, cognitive and one category of untrained personality competencies have been defined. In this article, we have tried to achieve a set of core competencies in the field of competencies of gas industry managers, which has been achieved based on the performance of managers in organizational excellence. These core competencies are the beacon of the organization in achieving strategic goals and can be purposefully effective in the shortest time and with the least cost in the development process of the managers of the organization. Manuscript profile

Open Access Article

7 - Examining the role of influencing factors on value co-creation through technologies equipped with artificial intelligence and knowledge management in the tourism industry
Mohammad bashokouh Iman Ghasemi hamedani

10.61186/jstpi.40640.19.75.42

In the 21st century, the growth of new technologies, especially in tourism, is inevitable. The development of information and communication technology has also caused significant changes in tourism behavior. The current research is devoted to the analysis of the effecti More

In the 21st century, the growth of new technologies, especially in tourism, is inevitable. The development of information and communication technology has also caused significant changes in tourism behavior. The current research is devoted to the analysis of the effective factors on value co-creation through technologies equipped with artificial intelligence and knowledge management in the tourism industry. This research is descriptive-correlation type. The statistical population of the research consists of employees and experts of the tourism industry, and 190 sample members were randomly selected. Data were analyzed using spss software and partial least squares method and Smart PLS software. were analyzed. Customer-based factors with a coefficient of 0.364 on the effectiveness of value co-creation, technology equipped with artificial intelligence with a coefficient of 0.802 on customer-based factors and with a coefficient of 1.097 on the effectiveness of value co-creation, and finally knowledge management with a coefficient of 0.540 The effectiveness of value co-creation has a significant impact. And customer-based factors with a coefficient of 0.292 were able to mediate the relationship between technology equipped with artificial intelligence and the effectiveness of value co-creation. Examining the results of this research showed that the significant effect of customer-based factors, technologies equipped with artificial intelligence and knowledge management on the effectiveness of value co-creation was confirmed. And customer-based factors were able to mediate the relationship between AI-enabled technologies and value co-creation effectiveness. Finally, technologies equipped with artificial intelligence were able to mediate the relationship between customer-based factors and the effectiveness of value co-creation. Manuscript profile

Open Access Article

8 - The fourth industrial revolution and its human dangers in quasi-modern authoritarian political systems
Seyyed MohammadReza Mottaghi hasan khosravi Bijan Abdolkarimi Bijan Abbasi

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Feasibility of Adjusting Human Rights Risks Affected by the Fourth Industrial Revolution in Political Structures Based on Pseudo-Modern Authoritarianism   Seyyed Mohammad Reza Mottaghi<a style="mso-footnote-id: ftn1;" title="" href="#_ftn1" name="_ftnref1">*</a>   Hassan Khosravi<a style="mso-footnote-id: ftn2;" title="" href="#_ftn2" name="_ftnref2">**</a>    Bijan Abdolkarimi<a style="mso-footnote-id: ftn3;" title="" href="#_ftn3" name="_ftnref3">***</a>   Bijan Abbasi<a style="mso-footnote-id: ftn4;" title="" href="#_ftn4" name="_ftnref4">****</a>   <a name="_Hlk160321101"></a>The Fourth Industrial Revolution represents a transformative wave in the industry with the potential to impact various facets of human existence, promising widespread individual and societal prosperity. However, it also presents a significant risk, particularly for governments not firmly rooted in democratic principles, who may be tempted to assert control over their citizens due to the expanded capabilities afforded by this revolution. Such a scenario, if realized, threatens the emergence of new dictatorships and erodes the individuality of citizens. This article, employing an analytical-descriptive approach, seeks to explore the multifaceted human rights crises precipitated by these conditions. It endeavors to address the question: How can individual freedoms and human and citizenship rights be safeguarded against governmental encroachment in this era? Based on the results of this research, due to the expansion of capabilities arising from the Fourth Industrial Revolution, the potential for government abuse is increasing more than ever, inviting all political structures towards authoritarianism. Consequently, to prevent this situation and safeguard the rights and freedoms of citizens, the current governance models need to be re-evaluated, emphasizing on aspects of enhancing freedoms. These changes should aim to reduce the intrusion of governments into personal spheres as much as possible, moving towards absolute neutrality.   Keyword: The fourth industrial revolution, authoritarianism, cyber dictatorship, pseudo-modern government and artificial intelligence.   <div style="mso-element: footnote-list;"> <hr align="left" size="1" width="33%" /> <div id="ftn1" style="mso-element: footnote;"> <a style="mso-footnote-id: ftn1;" title="" href="#_ftnref1" name="_ftn1">* PhD of </a>Public law, North Tehran Branch, Islamic Azad University, Tehran, Iran. mohammadreza.mottaghi@iranian.ac.ir </div> <div id="ftn2" style="mso-element: footnote;"> <a style="mso-footnote-id: ftn2;" title="" href="#_ftnref2" name="_ftn2">** </a>Corresponding Author: Associate Professor, Department of Public Law, Payam Noor University, Tehran, Iran. h.khosravi@rey.tpnu.ac.ir </div> <div id="ftn3" style="mso-element: footnote;"> <a style="mso-footnote-id: ftn3;" title="" href="#_ftnref3" name="_ftn3">*** Associate Professor, Departme</a>nt of Philosophy, North Tehran Branch, Islamic Azad University, Tehran, Iran. abdolkarimi12@gmail.com </div> <div id="ftn4" style="mso-element: footnote;"> <a style="mso-footnote-id: ftn4;" title="" href="#_ftnref4" name="_ftn4">****</a> Associate Professor, Department of Public Law, University of Tehran, Iran. Bizhan_abbasy@yahoo.com </div> </div>   Manuscript profile

Open Access Article

9 - The extent of the effects of Covid-19 on the global patterns of digital transformation
seyed omid azarkasb Seyed Hossein Khasteh

Although the corona crisis is a health phenomenon and a disease, over time it has become a super phenomenon that has involved other parts of society. In the current situation, all countries are dealing with this crisis in different ways and trying to control this crisis More

Although the corona crisis is a health phenomenon and a disease, over time it has become a super phenomenon that has involved other parts of society. In the current situation, all countries are dealing with this crisis in different ways and trying to control this crisis with less damage. As a result, community management has been placed in a strategic situation and a great managerial experiment. With the covid-19 pandemic, there have been global changes in the profitability of startups. The stock market crashed and there was recession and unemployment all over the world. In general, startups in digital markets performed better than traditional industries. Some time later, the digital economy began to adapt according to its original nature, business models changed and digital methods became more powerful than what was predicted, and technological solutions to overcome the challenges of Covid-19 were gradually applied in all industries. Hence, regardless of the current situation, measures related to Covid-19 have the potential to change the market again. The digital world's global response to Covid-19 is now taking place in the three areas of detection, diagnosis and prevention, and treatment, and digital companies' performance in risk and data analytics, health and wellness, crisis management, and education, in response to The Covid-19 pandemic has become more severe. Therefore, for the future, experts are both waiting for risk and looking for opportunities Manuscript profile

Open Access Article

10 - Etiology of Robot Crimes: With Emphasis on Rational Choice Theory
mahboub afrasiab kamran shirzad

Nowadays, artificial intelligence has become increasingly important as a technological advancement. Different applications of artificial intelligence in different realms, while being the source of services for humans, but the emergence of robotic crimes has posed challe More

Nowadays, artificial intelligence has become increasingly important as a technological advancement. Different applications of artificial intelligence in different realms, while being the source of services for humans, but the emergence of robotic crimes has posed challenges for humans. Therefore, the main issue in this area is the intervention of robots in criminal behavior. Regarding the crimes of the first generation of robots / non-intelligent robots, it should be said that robots have no role in committing a crime and are only a tool in the hands of the programmer. However, the generation of intelligent robots are active and rational social actors who move beyond the will of the programmer and seek to make moral decisions. The study, which seeks to analyze the crimes of robots in the light of rational choice theory, concludes that intelligent robots are among the white-collar criminals among criminals who pay the most attention to cost-benefit analyzes. In addition, the first generation of robots lack the ability to measure the benefits and costs of crime Manuscript profile

Open Access Article

11 - Platform for manufacturing and intelligent production of polymers: genome engineering of polymer materials
Zeinab Sadat Hosseini

High-performance polymer materials are the foundation of high-level technology development and advanced manufacturing. Recently, polymeric material genome engineering (PMGE) has been proposed as a basic platform for the intelligent production of polymeric materials. Po More

High-performance polymer materials are the foundation of high-level technology development and advanced manufacturing. Recently, polymeric material genome engineering (PMGE) has been proposed as a basic platform for the intelligent production of polymeric materials. Polymeric Material Genome Engineering (PMGE) is an emerging field that combines the principles of the Materials Genome Initiative with polymer science to accelerate the discovery and development of new polymeric materials. The concept of PMGE is to create a comprehensive database of polymer properties obtained from both computational and experimental methods. This database can then be used to train machine learning models that can predict the properties of new polymers. However, the development of PMGE is still in its infancy and many issues remain to be addressed. Overall, PMGE represents a significant step towards the intelligent manufacturing of polymeric materials, with the potential to revolutionize the field by enabling faster and more efficient development of new materials. In this review are presented the fundamental concepts of PMGE and a summary of recent research and achievements, then are investigated the most important challenges and the future prospects. Specifically, this study focuses on the property prediction approaches, including of the proxy approach and the machine learning, and discusses the potential applications of PMGE, i.e. the advanced composites, the polymer materials used in the communication systems, and electrical integrated circuit manufacturing. Manuscript profile

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