Application Of Internet Of Things Technology Research Articles

Identification and prioritization of connected vehicle technologies for sustainable development in Iran

The Internet of Things (IoT) is a new generation of technologies that not only improves efficiency and productivity but also fosters development across various industries. Given rapid population growth and its negative effects on society and the environment, the application of IoT technologies may be regarded as an opportunity to mitigate those negative impacts and increase sustainability. Among various innovations in wireless communication technologies, connected vehicle technologies (CVT) have received increased attention in recent years. However, there is a dearth of studies on CVT and their influences on the sustainability of transportation systems. Therefore, the identification of the most important applications of CVT in the context of sustainable development can provide useful insights for managers and policy-makers to improve the efficiency of transportation systems. To this end, 18 sustainability indicators in transportation systems are identified based on the literature review. The fuzzy DEMATEL-based analytical network process DANP is used to assess interrelationships among sustainability indicators and to determine the importance of each indicator. Then, fuzzy VIKOR is used to rank the CVT applications that would improve sustainability in transportation systems. The findings show that loss reduction, decision support systems, welfare applications, tourism, and entertainment have higher priorities than other applications of CVT in transportation. Finally, we discuss future research directions and managerial implementations of CVT for moving toward sustainable cities.

Enabling Intelligent Recovery of Critical Materials from Li-Ion Battery through Direct Recycling Process with Internet-of-Things.

The rapid market expansion of Li-ion batteries (LIBs) leads to concerns over the appropriate disposal of hazardous battery waste and the sustainability in the supply of critical materials for LIB production. Technologies and strategies to extend the life of LIBs and reuse the materials have long been sought. Direct recycling is a more effective recycling approach than existing ones with respect to cost, energy consumption, and emissions. This approach has become increasingly more feasible due to digitalization and the adoption of the Internet-of-Things (IoT). To address the question of how IoT could enhance direct recycling of LIBs, we first highlight the importance of direct recycling in tackling the challenges in the supply chain of LIB and discuss the characteristics and application of IoT technologies, which could enhance direct recycling. Finally, we share our perspective on a paradigm where IoT could be integrated into the direct recycling process of LIBs to enhance the efficiency, intelligence, and effectiveness of the recycling process.

Ionizing Radiation Monitoring Technology at the Verge of Internet of Things.

As nuclear technology evolves, and continues to be used in various fields since its discovery less than a century ago, radiation safety has become a major concern to humans and the environment. Radiation monitoring plays a significant role in preventive radiological nuclear detection in nuclear facilities, hospitals, or in any activities associated with radioactive materials by acting as a tool to measure the risk of being exposed to radiation while reaping its benefit. Apart from in occupational settings, radiation monitoring is required in emergency responses to radiation incidents as well as outdoor radiation zones. Several radiation sensors have been developed, ranging from as simple as a Geiger-Muller counter to bulkier radiation systems such as the High Purity Germanium detector, with different functionality for use in different settings, but the inability to provide real-time data makes radiation monitoring activities less effective. The deployment of manned vehicles equipped with these radiation sensors reduces the scope of radiation monitoring operations significantly, but the safety of radiation monitoring operators is still compromised. Recently, the Internet of Things (IoT) technology has been introduced to the world and offered solutions to these limitations. This review elucidates a systematic understanding of the fundamental usage of the Internet of Drones for radiation monitoring purposes. The extension of essential functional blocks in IoT can be expanded across radiation monitoring industries, presenting several emerging research opportunities and challenges. This article offers a comprehensive review of the evolutionary application of IoT technology in nuclear and radiation monitoring. Finally, the security of the nuclear industry is discussed.

A Certificateless Authenticated Key Agreement Scheme for the Power IoT

Power Internet of Things (IoT) is the application of IoT technology in the field of power grid, which can better control all kinds of power equipment, power personnel and operating environment. However, access to mass terminals brings higher requirements for terminal authentication and key management for the power IoT. And the traditional public key infrastructure (PKI) and identity-based public key cryptography (IB-PKC) exist the problems of certificate management and key escrow. Therefore, the paper proposes a novel authenticated key agreement scheme based on the certificateless public key cryptography (CL-PKC) mechanism. In addition, the proposed scheme is proven with the improved extended Canetti-Krawczyk (eCK) security model. Finally, the implementation of the authenticated key agreement protocol is given based on the actual application requirement of the power IoT, and the analysis and comparison of the simulation demonstrates that the proposed scheme has higher efficiency and would be suitable for the power IoT.

Faster-Than-Nyquist 400 G Implementation Using 126-GBaud QPSK-OFDM With 88-GSa/s Undersampling

In this study, we demonstrated generation and transmission of 114 Gbaud and 126 Gbaud faster-than-Nyquist (FTN) discrete Fourier transform-spread (DFT-spread) quadrature phase shift keying orthogonal frequency division multiplexing (QPSK-OFDM) with 88-Gsa/s sampling rate digital-to-analog converters (DACs) experimentally. It is the first time to realize 400G FTN DFT-spread QPSK-OFDM signal per optical carrier for metro and regional applications, which will be a solution for network operators to address the issue of increasing bandwidth derived from the rapid popularization of mobile Internet and the wide application of IoT (Internet of Things technology). Delay-and-add filter (DAF) is adopted to realize frequency shaping at the transmitter to keep higher portions of energy of signal at low frequencies, which makes the OFDM much more robust to strong filtering effect. After pre-equalization, bit error rate (BER) performance of 114 GBaud and 126 GBaud FTN DFT-spread QPSK-OFDM has been significantly improved, and maximum-likelihood sequence estimation (MLSE) shows a better effect than binary decoding in the aspect of against the inter symbol interference (ISI) introduced by spectrum compression. The effective bit rate of dual polarization 126 Gbaud FTN DFT-spread QPSK-OFDM which is generated with 88 GSa/s sampling rate is 410.08 Gb/s, to the exclusion of all overhead including TSs, cyclic prefix (CP), and 20% forward error correction (FEC) coding. We successfully transmit 8 × 400 Gbit/s FTN DFT-spread QPSK-OFDM signal generated from 88 Gsa/s sampling rate DAC over 420 km single mode fiber (SMF) with the BER under 2.4 × 10−2.

Prospects of IoT technology

Introduction. Internet of Things (IoT) is one of the promising innovative technologies. Every year more and more people are involved in the use of smart things. At the same time, a relatively small number of papers are devoted to the study of the social value of technology and the experience of human interaction with this technology. It is important to study the features and prospects of the technology, to analyze the attitude and willingness of people to use it. Materials and Methods. We have conducted an Internet survey, in which special attention is paid to the place of IoT in the life of modern people, their attitude to the concept of devices. The obtained data is processed and systematized. Results. The analysis of the survey results allowed us to draw conclusions regarding the attitude and willingness of young people to apply this technology. In the course of the study, the IoT concept was defined, the conditions required for the existence and functioning of the technology were described, the advantages of IoT technology were generalized, information technologies interacting with this technology were specified, the tasks that require solutions for the successful and effective implementation of IoT into Russian reality were listed. Discussion and Conclusions. The Internet of Things is a technology that, with a consistent and systematic solution to a number of problems, can become a significant factor in the development of both individual spheres of life and activity, and the country as a whole. At the same time, it is important to study and consider the social impact of technology dissemination. This will increase trust in the IoT and eliminate negative impacts. The survey shows that young people tend to use smart things more widely. It is necessary to expand the range of smart things, to more confidently introduce the basics of practical application of IoT technology into educational programs, to discuss issues, ways to solve the tasks and pilot projects related to this technology widely in the media. This will enable to train not only people who are practically interested in IoT, but also qualified personnel who are able to solve problems in a new way.

Improved LSTM-Based Abnormal Stream Data Detection and Correction System for Internet of Things

The Internet of Things (IoT) is the integration of all information and Internet technology in the information age, which can realize the collection and transmission of intelligent information. A large number of sensors are producing and collecting data involving various industries every day. The amount of stream data generated is huge, and a large number of abnormal data are also generated in the process. Due to the demands of business and life quality improvement, the application of IoT technology to real-time monitoring and correction of massive stream data, especially the correction of abnormal data, is a very valuable research direction, and also the key to ensure the credibility and fidelity of IoT data. This article proposes a recurrent neural network model based on long- and short-term memory network (LSTM) and LSTM+. LSTM+ model not only reduces the regression error compared with the traditional LSTM model, but also can detect abnormal data collected by IoT terminal nodes, and can correct the abnormal data in real time, so as to ensure that the network prediction can have good stability and robustness.

Evaluation of a LoRa Mesh Network for Smart Metering in Rural Locations

Accompanying the advancement on the Internet of Things (IoT), the concept of remote monitoring and control using IoT devices is becoming popular. Digital smart meters hold many advantages over traditional analog meters, and smart metering is one of application of IoT technology. It supports the conventional power system in adopting modern concepts like smart grids, block-chains, automation, etc. due to their remote load monitoring and control capabilities. However, in many applications, the traditional analog meters still are preferred over digital smart meters due to the high deployment and operating costs, and the unreliability of the smart meters. The primary reasons behind these issues are a lack of a reliable and affordable communication system, which can be addressed by the deployment of a dedicated network formed with a Low Power Wide Area (LPWA) platform like wireless radio standards (i.e., LoRa devices). This paper discusses LoRa technology and its implementation to solve the problems associated with smart metering, especially considering the rural energy system. A simulation-based study has been done to analyse the LoRa technology’s applicability in different architecture for smart metering purposes and to identify a cost-effective and reliable way to implement smart metering, especially in a rural microgrid (MG).

ARTYCUL: A Privacy-Preserving ML-Driven Framework to Determine the Popularity of a Cultural Exhibit on Display.

We present ARTYCUL (ARTifact popularitY for CULtural heritage), a machine learning(ML)-based framework that graphically represents the footfall around an artifact on display at a museum or a heritage site. The driving factor of this framework was the fact that the presence of security cameras has become universal, including at sites of cultural heritage. ARTYCUL used the video streams of closed-circuit televisions (CCTV) cameras installed in such premises to detect human figures, and their coordinates with respect to the camera frames were used to visualize the density of visitors around the specific display items. Such a framework that can display the popularity of artifacts would aid the curators towards a more optimal organization. Moreover, it could also help to gauge if a certain display item were neglected due to incorrect placement. While items of similar interest can be placed in vicinity of each other, an online recommendation system may also use the reputation of an artifact to catch the eye of the visitors. Artificial intelligence-based solutions are well suited for analysis of internet of things (IoT) traffic due to the inherent veracity and volatile nature of the transmissions. The work done for the development of ARTYCUL provided a deeper insight into the avenues for applications of IoT technology to the cultural heritage domain, and suitability of ML to process real-time data at a fast pace. While we also observed common issues that hinder the utilization of IoT in the cultural domain, the proposed framework was designed keeping in mind the same obstacles and a preference for backward compatibility.

Internet of Diagnostic Things: Emerging Horizon towards Precision and Digital Health Care

Digital revolution and advancement of information technologies, smart phone industry, multi-omic technologies, availability with 5G networks and emergence of big data era has greatly impacted on diagnostic, biomedical and e-healthcare sectors. Intelligent sensors, wearable, digital imaging, smart phone based diagnostic and connected networking provides smart approach and platform towards precision diagnostics. Recently, Internet of Things (IoT) have shown remarkable impact on diverge sectors such as digital imaging, smart sensing, digital diagnostic, digital biotech, telemedicine, precision farming, lab-on phone, smart home, smart city planning, smart retails and Research and Development (R&D) automation etc. Application of IoT technology in diagnostic and healthcare opens a way for personalization in the medical care depending on individual needs, additionally giving option for well-organized way for remote healthcare and management. This review focuses on theoretical, technological, advanced aspects of digital diagnostic utilizing IoT technology. Furthermore, we have also highlighted the opportunities and challenges for IoT in exploring the futuristic scope and innovation in diagnostic application. IoT based diagnostic, sensing and imaging devices provides unprecedented precision, automation in the diagnostic and thereby could significantly improve the biomedical and e-healthcare area.

A Healthcare System for Internet of Things (IoT) Application: Machine Learning Based Approach

Internet of things (IoT) has become an interesting topic in the field of technological research. It is basically interconnecting of devices with each other over the internet. Beside its general use in terms of autonomous cars and smart homes, but some of the best applications of IoT technology in fields of health care monitoring is worth mentioning. The main purpose of this research work is to provide comport services for patients. It can be used to promote basic nursing care by improving the quality of care and patient safety from patient home environment. Rural area of a country lacks behind the proper patient monitoring system. So, remote monitoring and prescribing by sharing medical information in an authenticated manner is very effective for betterment of medical facilities in rural area. We have proposed a healthcare system which can analyze ECG report using supervise machine learning techniques. Analyzing report can be stored in cloud platform which can be further used to prescribe by the experienced medical practitioner. For performance evaluation, ECG data is analyzed using six supervised machine learning algorithms. Data sets are divided into two groups: 75 percent data for training the model and rest 25 percent data for testing. To avoid any kind of anomalies or repetitions, cross validation and random train-test split was used to obtain the result as accurate as possible.

Захист бухгалтерських даних в умовах використання Інтернету речей: проблеми і перспективи діджиталізації обліку

Today, the development of accounting as an enterprise information system directly depends on the level of development of technological innovations that are used to collect and process accounting data. The purpose of the article is to analyze the features of the influence of the Internet of Things (IoT) use on the functioning of the accounting system and to find ways to protect accounting data in such conditions. The urgency of the problem of protection of accounting data security in the conditions of implementation of IoT-technologies in enterprises activity has been grounded. The essence of IoT and the reasons for its use in the activities of enterprises have been disclosed. The advantages of IoT implementation in accounting information systems of enterprises have been analyzed. The peculiarities of the development of accounting information systems based on the use of IoT have been analyzed. Prospects for the impact of IoT on the development of audit procedures have been identified. The main directions of application of IoT technologies in accounting and audit have been allocated (to improve accounting procedures; to improve the work of the accounting service; to improve the audit process). Problems of accounting data protection in the context of each of the selected directions have been disclosed. The main reservations of IoT implementation in accounting information systems from the point of view of accounting data security have been analyzed. The main ways to improve the accounting system and procedures for controlling the formation of accounting data as a result of the implementation of IoT have been disclosed. Authors' attention is focused on the need to improve the security of accounting data when collecting and transferring them using IoT-tools because if all elements of the information system are not properly protected from unauthorized interference, instead of benefit, they will harm, providing cybercriminals with a loophole to undermine information security.

Prototype Sistem Monitoring Infus Berbasis IoT (Internet of Things)

The development of increasingly sophisticated medical science and technology has an impact on the development of science and technology in the field of medical-devices. One of the existing equipment and is often used in hospitals, one of which is an IV. Currently in the world of health, infusion is still controlled manually. Because it takes time if the nurse has to go back and forth throughout the patient room. Not only is it time consuming, but there will be risks if it is too late to treat a patient whose infusion has run out. Technology needs to be used to minimize risks in the medical world, one of which is the application of IoT technology. This study aims to make it easier for nurses to control infusion conditions in real time using the concept of IoT ( the Internet of Things). The method used is the Waterfall method. This research uses hardware consisting of Load Cell with the HX711 module as a weight sensor, NodeMCU V3 as a processor, and Thingspeak Web server as the interface with the user. The results of the measurement of the tool made have an error of 0.25 Gram, sending data to the Thingspeak.com Server requires a good connection for maximum results.

Using priority queuing for congestion control in IoT‐based technologies for IoT applications

SummaryThe Internet of Things (IoT) connect millions of devices in diverse areas such as smart cities, e‐health, transportation and defense to meet a wide range of human needs. To provide these services, a large amount of data needs to be transmitted to the IoT network servers. However, the IoT networks suffer from limited resources such as buffer size, node processing capabilities, and server capacities adversely affecting throughputs, latency, and energy consumption. Additionally, the ensuing heavy network traffic due to large amount of data transmitted results in congestion which degrades IoT network performance. Therefore, innovative congestion control techniques, e.g., queue management approach needs to be developed to overcome congestion problems in IoT networks. In this paper, a novel priority queuing technique (Npqt++) is developed to control congestion in IoT networks. The Npqt++ implements a preemptive/nonpreemptive discipline with a discretion rule to classify network traffic based on their real‐time requirement into priority groups. If the discretion rule for low priority packets is satisfied, high priority packets are pushed to the front of the queue; otherwise, they wait in the queue. Our approach significantly outperforms existing techniques in terms of throughput, delay, and energy consumption.

A Review of the Applications of the Internet of Things (IoT) for Agricultural Automation

The Internet of Things (IoT) is a network of devices for communicating machine to machine (M2M) based on wired and wireless Internet. IoT in agriculture is a revolutionary technology that can be applied to agricultural production year-round. The aim of this study is to summarize cases of IoT being applied to agricultural automation in the agricultural sector and to discuss the limitations and prospects for expanding the application of IoT technology in Korea. The application of IoT in agriculture was classified and analyzed based on previous data, and the sensors and communication technologies used were compared. Based on the analysis results, the limitations of and prospects for IoT in agriculture were discussed. IoT was widely used in agriculture, such as management systems, monitoring systems, control systems, and unmanned machinery. In addition, the various wireless communication technologies used in agriculture, such as Wi-Fi, long-range wide area network (LoRaWAN), mobile communication (e.g., 2G, 3G, and 4G), ZigBee, and Bluetooth, were also used in IoT-based agriculture. With the development of various communication technologies, such as 5G, it is expected that faster and broader IoT technologies will be applied to various agricultural processes in the future. IoT-based agriculture equipped with a communication system suitable for each agricultural environment can contribute to agricultural automation by increasing crop quality and production and reducing labor.

Agricultural Internet of Things Technology Application and Innovation Development Strategy

Agricultural Internet of Things Technology Application and Innovation Development Strategy

Research on the Application of Computer Internet of Things in Intelligent Logistics Management

The logistics industry has been ubiquitous in people’s production and life, and hundreds of millions of people are enjoying the achievements brought by the logistics industry. The modern logistics era has come. However, China’s logistics management mode has not kept pace with The Times well, but has shown a great lag, which makes it more difficult to promote the better development. It is hoped that the application analysis of Computer Internet of Things in this paper can provide reference for the construction of intelligent logistics management. The Computer Internet of Things technology application in logistics industry, forming logistics information, make people’s life in a more convenient, more wisdom, more intelligent direction.

Simulation of Internet of Things Water Management for Efficient Rice Irrigation in Rwanda

The central role of water access for agriculture is a clear challenge anywhere in the world and particularly in areas with significant seasonal variation in rainfall such as in Eastern and Central Africa. The combination of modern sensor technologies, the Internet, and advanced irrigation equipment combined in an Internet of Things (IoT) approach allow a relatively precise control of agricultural irrigation and creating the opportunity for high efficiency of water use for agricultural demands. This IoT approach can thereby increase the resilience of agricultural systems in the face of complex demands for water use. Most previous works on agricultural IoT systems are in the context of countries with higher levels of economic development. However, in Rwanda, with a low level of economic development, the advantages of efficient water use from the application of IoT technology requires overcoming constraints such as lack of irrigation control for individual farmers, lack of access to equipment, and low reliability of power and Internet access. In this work, we describe an approach for adapting previous studies to the Rwandan context for rice (Oryza sativa) farming with irrigation. The proposed low cost system would automatically provide irrigation control according to seasonal and daily irrigational needs when the system sensors and communications are operating correctly. In cases of system component failure, the system switches to an alternative prediction mode and messages farmers with information about the faults and realistic irrigation options until the failure is corrected. We use simulations to demonstrate, for the Muvumba Rice Irrigation Project in Northeast Rwanda, how the system would respond to growth stage, effective rainfall, and evapotranspiration for both correct operation and failure scenarios.

IoT Technology Applications-Based Smart Cities: Research Analysis

The development of technologies enables the application of the Internet of Things (IoT) in urban environments, creating smart cities. Hence, the optimal management of data generated in the interconnection of electronic sensors in real time improves the quality of life. The objective of this study is to analyze global research on smart cities based on IoT technology applications. For this, bibliometric techniques were applied to 1232 documents on this topic, corresponding to the period 2011–2019, to obtain findings on scientific activity and the main thematic areas. Scientific production has increased annually, so that the last triennium has accumulated 83.23% of the publications. The most outstanding thematic areas were Computer Science and Engineering. Seven lines have been identified in the development of research on smart cities based on IoT applications. In addition, the study has detected seven new future research directions. The growing trend at the global level of scientific production shows the interest in developing aspects of smart cities based on IoT applications. This study contributes to the academic, scientific, and institutional discussion to improve decision making based on the available information.

Real time auxiliary data mining method for wireless communication mechanism optimization based on Internet of things system

The combination of Internet of things (IoT) system and satellite wireless communication technology is the main means of the application of IoT technology. Due to the limitation of the objective conditions of wireless communication technology, there are many problems in its application. So it is imperative to optimize its communication mechanism. This paper analyzes the characteristics and key technologies of wireless communication according to the IoT. Proposed a data mining algorithm based on multi tree, optimized the wireless communication mechanism based on the IoT in real time. And the data mining algorithm is verified by building a system and experimental verification. The results show that the data mining algorithm has good performance. Among the similar data mining algorithms, it is better to optimize the wireless communication mechanism based on the IoT, and has certain practicability and reference.