جستجوی مقالات مرتبط با کلیدواژه « اینترنت اشیا » در نشریات گروه « صنایع »

Content retrieval and knowledge management services In IoT applications, user-aware applications always contain different information and require a lot of resources to meet user demand, and this requires a high cost to implement content retrieval and management monitoring services. Is knowledge. This article presents a way to monitor knowledge management as well as to store and retrieve user information in the Internet of Things. Using the proposed method, users can transfer their data to IoT storage servers with more security than similar methods without knowing how and where to store it. The purpose of this article is to create a user-centric system for security monitoring of knowledge management in IoT applications that can be easily used. In this regard, reducing the cost of resource allocation and knowledge management by intelligently reducing the amount of data received and the use of appropriate factors to increase the quality of IoT applications have been addressed.

One of the valuable technologies that promises optimal solutions to many problems in the field of health care, etc., is the Internet of Things. Increasing the use of this technology in smart cities requires improving the IT infrastructure for the security and privacy of users. This has led to the use of blockchain technology alongside the Internet of Things. One of the applications of blockchain is its use in e-health, which is used to create a secure framework for managing patient records and to use its financial transactions to pay for services. The purpose of this article is to use one of the unique features of blockchain called micropayment to facilitate patient-related matters in e-health. This paper provides a framework for micropayments to pay for sensors and applications used to discuss patient health care in smart cities. The framework is designed to reduce the transaction fees of IoT users. It also reduces data processing, reduces the need for separate payment channels for each entity, and ultimately reduces payment time.

As environmental policies are highlighted in the green supply chain, it plays an essential role in improving the supply chain capabilities. On the other hand, considering the development of technology and the Internet of Things intelligence and their potentials in goal achievement, it is important to investigate and study their applications in this field. This study aims to identify the most important criteria in selecting a green supplier and investigate the impact of the Internet of Things (IoT) on this selection. To achieve these objectives, the fuzzy cognitive map (FCM) method is used to identify the effective weights of each criterion and introduce the most effective criterion by examining the centrality. The fuzzy hierarchical analysis (FAHP) is used to investigate the role of IoT in the green supply chain. The results indicate that air pollution control is the most important criterion for evaluating the suppliers and also has the greatest impact on IoT.

Today, protecting data privacy is considered as the most important challenge in the Internet of Things networks. These networks contain important data which is transmitted among the nodes. For this reason, it is very important to pay attention to the concern of data privacy in the Internet of Things. Studies show that the lack of a complete, efficient and standard model has caused many security flaws in these networks. By using the Internet limitations, this study discusses how to create a target function to protect data privacy in the Internet of Things. The proposed approach aims to find an optimal path with high competence. This method has been implemented in MATLAB software and the results of experiments show that although the Artificial Immune System (AIS) algorithm has no certain solution for optimization problems, it finds a near optimal answer. In addition, the response time of AIS algorithm is lower compared with the examined algorithms. According to the convergence diagrams, the AIS algorithm has good convergence.

The Internet of Things (IoT) is a system of computers, computing machines, digital and mechanical devices, humans and animals, each with an independent code and as a distinct device, in the network and a significant share of information exchange and behavior and the relationship between them is done without direct human intervention and supervision. Businesses are no exception and try to use the IoT to make business smarter. The supply chain is one of the most vital parts of the business cycle and its smartening creates a dramatic change in the optimization of business processes. However, since this technology is based on the Internet and the use of the Internet can always be associated with different risks, so recognizing the cyber risks that can be faced by businesses in the face of these technologies is always significant IoT-based supply chain cyber to be identified and analyzed. In order to rank these risks, nonlinear mathematical modeling method has been used. The results show that privacy in interaction with suppliers as well as customers is the most important and effective measures should be taken to address these risks.

In a network economy, the competitive strength of a business depends not only on its own merits, but also on its ability to interact with its environment. The emergence of multidimensional platforms, value creation networks, related complexities, and weaknesses in business models in this field have attracted the attention of researchers to the concept of business ecosystem. In this study, with the aim of examining business ecosystem design models, first the literature and concept of business ecosystem, and then the various types of its design are introduced. Finally, the design principles of business ecosystem are extracted and used in the design of the emerging ones. The present study is descriptive type, and in order to gather the information we have used the experts’ views in addition to library studies. The final output of the emerging business environment design research project, including native search engine, cloud computing, internet of things, and big data will be comprehensive in the near future, based on information provided by stakeholders / actors with related services, communications between actors and their role in creating value flows.