internet of things

Energy management based on the Internet of Things is an intelligent method to control energy consumption and production. Energy can be managed intelligently and optimally using sensors, smart devices, and communication networks. The current research aims to extract effective indicators of energy management based on the Internet of Things. This research extracted five main indicators (criteria) and twenty-two sub-criteria from previous studies. While DIMTEL and TOPSIS methods cannot resolve the ambiguity of the verbal evaluations made by the decision-makers, triangular fuzzy numbers were used in all these techniques. To analyze the research data, the indicators were ranked based on the effectiveness of each of them, and the type of relationship between the factors was investigated using the fuzzy Dimetal method. Based on this,, energy cost, has won first place in energy management based on the Internet of Things. The criterion of social benefits, won second place, and the criterion of protocols and standards, won third place.

The most important effects of the Internet of Things in healthcare include the ability to exchange information reduce hospitalization costs, and healthcare costs. The primary challenges of the Internet of Things in healthcare are security and privacy, with image transmission being particularly crucial in the areas of communication and security. The primary objective of this paper is to design a suitable channel for transmitting medical data based on chaotic synchronization that utilizes fuzzy modeling.

This paper presents a new method for transmitting medical images to preserve patient information by synchronizing two fractional-order convolutional neural networks based on polynomial fuzzy modeling. Using chaotic signals as a carrier for medical images and employing a suitable fuzzy controller for synchronization at the receiver enhances the level of security and significantly reduces the likelihood of detection. In this scheme, a suitable fuzzy controller is designed to establish the stability of the closed-loop system. Then, considering the synchronization scheme based on the polynomial fuzzy model and its error detection, a chaotic masking method is proposed to encrypt images related to patients.

Simulations have been performed on color and black-and-white medical images. Encrypted and recovered images have been obtained using this scheme. The simulation and accuracy of the proposed method's results have been investigated using MATLAB software. To evaluate the performance of the proposed method, various criteria, including image histogram, signal-to-noise ratio, correlation, and information entropy, were assessed. The results demonstrate the effectiveness of the proposed method in image encryption.

 This paper presents a new method for transmitting medical images to preserve patient information by synchronizing two fractional-order multi-convolutional systems based on polynomial fuzzy modeling. Using chaotic signals as a carrier for medical images and employing a suitable fuzzy controller for synchronization at the receiver enhances the level of security and significantly reduces the likelihood of detection. In this project, a suitable fuzzy controller is designed to establish the stability of the closed-loop system. Then, considering the multi-state synchronization scheme based on the polynomial fuzzy model and its error detection, a chaotic masking method is proposed to encrypt images related to patients.

The use of IoT in the banking industry leads to the provision of various banking products and services to customers. New digital innovations, including the Internet of Things, have also created a competitive market for banks, and banks need to adapt their practices accordingly. Therefore, in the present study, value creation with IoT technology was investigated in Sepah Bank. For this purpose, the statistical population of this research includes 130 employees of all departments of the information technology department of Sepah Bank. Using Morgan table, the number of statistical samples of this research was 86 people. For inferential analysis of data obtained from standard questionnaires, based on Balaji & Roy research (2017), the correlation method based on structural equation modeling with partial least squares approach and SPSS and SmartPLS software were used. The results of the study showed that the perceived excellent performance had a positive and significant effect on the shared value creation and the intention to continue receiving services from the Internet of Things, as well as the perceived aesthetic demand on the perceived value creation and excellent performance of The Internet of Things and the intention to continue receiving services and the intention to verbally advertise has had a positive and significant effect, as well as the intention to continue receiving services has a positive effect on the intention to verbally advertise customers, but perceived ease of use and perceived existence do not have a positive effect on perceived shared value creation.

The use of IoT in the banking industry leads to the provision of various banking products and services to customers. New digital innovations, including the Internet of Things, have also created a competitive market for banks, and banks need to adapt their practices accordingly. Therefore, in the present study, value creation with IoT technology was investigated in Sepah Bank. For this purpose, the statistical population of this research includes 130 employees of all departments of the information technology department of Sepah Bank. Using Morgan table, the number of statistical samples of this research was 86 people. For inferential analysis of data obtained from standard questionnaires, based on Balaji & Roy research (2017), the correlation method based on structural equation modeling with partial least squares approach and SPSS and SmartPLS software were used. The results of the study showed that the perceived excellent performance had a positive and significant effect on the shared value creation and the intention to continue receiving services from the Internet of Things, as well as the perceived aesthetic demand on the perceived value creation and excellent performance of The Internet of Things and the intention to continue receiving services and the intention to verbally advertise has had a positive and significant effect, as well as the intention to continue receiving services has a positive effect on the intention to verbally advertise customers, but perceived ease of use and perceived existence do not have a positive effect on perceived shared value creation.

The current research aims to design the framework of the digital transformation strategy of the road freight transportation industry, focusing on Internet of Things technology and data analytics, and uses the research method of design science. This research is fundamental-applied in terms of data type, mixed in exploratory type; According to the time of data collection, it was cross-sectional and according to the method of data collection or the nature and method of the research, it was a survey. Data collection in the qualitative part was done with semi-structured interviews with 20 experts from universities and the road freight transportation industry of Iran who were selected using the purposive sampling method and the principle of saturation. A researcher-made questionnaire was used to collect data in quantitative part and the opinions of 170 employees of this industry who were selected using Cochran's formula and stratified sampling method were obtained. Data analysis was done in the qualitative part with Delphi technique, literature review and coding. In the quantitative part, inferential statistics, one-sample t-test, structural equation modeling, and SPSS and smartPLS software were used. The fifth step of the design science method was done by testing the designed strategy framework in a company in the relevant industry. The results showed that the digital transformation strategy includes two managerial and operational strategies. Also, the consequences, influencing factors, mechanisms, facilitators and obstacles were presented in this framework. Based on the results, among the components of the framework, management strategies need to be further strengthened.

The purpose of this study is to investigate industry 4.0 advancement in various application areas of Iranian industry using Internet of Things -based achievements and technologies. In this research, 112 articles were studied by searching for specialized keywords related to the topic and using valid research sources. In the following, 88 abstracts of articles related to Internet of Things applications were reviewed. In the review we finally made up the 32 title of our article on the subject literature. According to the subject literature, various applications of iot were extracted and categorized in a table; Then, by forming a target group of experts and designing a paired comparative questionnaire for the AHP method and using Expert Choice software, the results showed that according to infrastructure criteria, financial support, senior management support, training training, firmware availability., Communication Security, Expertise and Desire for Innovation, Intelligent Manufacturing Including Automotive Industry, Intelligent Industrial Control and Manufacturing, Supply Chain Management and Support, Smart Networks, Intelligent Logistics, Intelligent Manufacturing Services and Processes, etc. Industry 4.0 with Internet of Things technology. There is also a low level of environmental and recycling usability that requires senior managers to support Internet of Things technology transfer strategies, the use of Internet of Things specialists, and the financial support of upstream managers to leverage the Internet of Things -compliant infrastructure. This area will pave the way for industry 4.0.

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.

Given that tourism is one of the most important industries in the present era, the use of modern technologies to meet the needs of growth and development of this industry seems inevitable. On the other hand, today, in order to increase economic growth and job creation, countries are looking for appropriate investments in their tourism. The Internet of Things is a modern and Smart technology that has led to the transformation and development of this industry by entering tourism. Many countries have moved towards using this modern and smart technology in their cities and tourism destinations and have been able to get good results from it, considering the investments they have made in this field. In this regard, the present study has been conducted with the aim of research on the use of IoT technology to smarten tourism attractions and destinations in the country. In this article, based on a review study and thematic analysis of research related to the Internet of Things in tourism and smart tourism destinations, as well as interviews with experts in the field of tourism and the Internet of Things, the most important applications of this smart technology in tourism achievements that help to make tourism attractions and destinations smarter. The findings can lead to the awareness of tourism activists who are familiar with this modern and Smart technology, as well as provide the necessary background to create the appropriate infrastructure for the implementation of this technology in tourism, as well as the program. Provide long-term and suitable investments to achieve this.

Internet of Things (IoT) as an emerging technology in the field of Information and Communication Technology is the next revolution related to the Internet application. IoT focuses on the communication of things such as sensors, drivers, devices, etc., with the potential to collect data and control or communicate remotely rather than focusing on the communication of people. Applying intelligence solutions and new technologies of IoT in agriculture can pave the way to a new paradigm of farming called “Smart Agriculture” by making fundamental change in all aspects of current practices. IoT-based Smart Agriculture can improve agricultural productivity with more food production through the optimal utilization of the resources, minimizing environmental impacts, reducing the costs, and increasing the incomes with linking to the business market that facilitates sustainable agricultural development. IoT-based data is a collection of large data called “Big Data” that cannot be processed and managed by traditional databases and conventional management tools. IoT and Big Data technologies are interconnected and it can be predicted that the future of optimal agriculture in the world would not be possible to meet the food demand and sustainability of production without these technologies and Smart Agriculture. This article introduces IoT and Big Data technologies, as well as their relationship from the vision of Smart Agriculture. Moreover, the article aims to assist in the decision-making of the strategy from the pre-production stage to the business marketing in the country by assessing Hype Cycle and trends of the technologies. Some of the big IoT data applications in the Smart Agriculture cycle are also introduced.

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.