Use Of Internet Of Things Technologies Research Articles

Digital Monitoring and its Effects on Organizational Performance

In every successful organization, the critical factors of time, cost, and quality preservation are paramount. Effectively managing and controlling these factors necessitates the implementation of strategic measures. Specifically, the reduction of wastage emerges as a key approach to conserving time, cost, and quality. Achieving this goal hinges on the optimal utilization of organizational resources, which entails precise planning, allocation, monitoring, and control. While various methods for planning and resource tracking exist across organizations, this study focuses on strategies employed within the manufacturing industry. These strategies have demonstrated greater efficiency compared to traditional methods. Moreover, the study proposes the integration of Internet of Things (IoT) technology to address this challenge effectively. The research recommends the use of IoT technology as a comprehensive solution. Prior studies have often utilized the JIT method solely for resource utilization or TPM method solely for resource management. In contrast, this research advocates for the individual application of these methods to plan each resource meticulously. Specifically, the JIT method is proposed for material utilization, the TPM method for equipment utilization, and the Kaizen method for labor allocation. Furthermore, it emphasizes the integration of IoT with these lean methods. While some researchers have explored IoT, they have not fully integrated it with lean methods and techniques. The synergy of lean production methods and IoT technology offers an ideal opportunity for optimizing the utilization of organizational resources. Through these techniques, organizational resources can be efficiently planned and allocated to the production process. IoT provides valuable tools such as sensors, which can be installed at various resources, facilitating real-time data transmission to managers. This enables remote monitoring from office settings and timely data acquisition, thus addressing the challenge of optimal organizational resource utilization effectively.

Centralised Transcutaneous Monitoring using IOT

Abstract: The centralized transcutaneous monitoring using internet of things (IoT) is a cutting-edge healthcare approach that makes use of IoT technology's promise to revolutionize remote patient monitoring. The goal of this work is to enable healthcare professionals to remotely access and monitor crucial patient data to provide fast and accurate diagnoses. The proposed work creates a framework for collecting patient data from transcutaneous monitoring devices by seamlessly integrating IoT devices equipped with WiFi modules. then, this data is sent to the Azure IoT Hub, a cloud-based platform that enables safe, privacy management and storage. According to the Agile methodology, the project progresses through numerous significant phases. These include upgrading the operating system from Windows Embedded Compact (WEC7) to the more modern WEC13, integrating WiFi through Node MCU, establishing a secure data transmission channel between IoT devices and Azure IoT Hub, creating a user-centric web portal using Angular JS, and working actively with the marketing department to match the project with the changing requirements of the healthcare industry. These efforts culminate in an online portal that provides real-time patient data to healthcare providers. This interface provides a wide range of features, such as data visualizations, detailed graphs, and device-specific insights. The initiative redefines the boundaries of patient monitoring and diagnostics, serving as a symbol of the synergy between cutting-edge technology and medical care. The data can be viewed anytime and anywhere by the doctors

Use of Internet-of-Things for Sustainable Art Businesses: Action Research on Smart Omni-Channel Service

Performance and exhibition venues are well-suited for implementing business models that leverage Internet-of-Things (IoT) concepts to integrate both online and offline information. The use of IoT technologies has led to the emergence of omni-channel services, providing customers with information from both online and offline channels. However, there is a lack of field research on the practical implications of IoT concepts in art exhibitions. An action research methodology is required to address this gap, and one potential solution is to implement an IoT-based omni-channel service that integrates online and offline channels to enhance service quality and provide a seamless customer experience. Near Field Communication (NFC), iBeacon, and Internet buttons can be used in an art gallery to achieve these objectives. This study utilized action research methods to examine the impact of customers’ technology interactions in an art gallery setting. The findings indicate that the inclusion of a physical interactive element has a positive effect on IoT use.

Smart Parking System using ESP8266 Wi-Fi Module

This paper examines the issues with conventional parking lots. Additionally, it covers the effects and inconveniences brought on by the inefficiency of conventional parking places. The authors of this work propose and develop a smart parking system that makes use of IoT technology and enables users to locate open parking spaces in a certain location. Additionally, it prevents unnecessary movement through already crowded parking lots. The authors of this study introduce a revolutionary parking system with an IoT over WiFi module. The authors propose a mobile-based Internet of Things (IoT) solution to the problem. ESP8266, SG90 servo motor, and IR sensors are important parts. Users may quickly search for neighboring parking lots and view real-time availability in each parking lot with the aid of the solution. Through the app, they may even reserve the desired parking space before heading to the lot. Through the mobile application, the user may also make the payment. Additionally, the administrator may offer a free parking spot.

Monitoring the pH and temperature of IoT-based fish farming using Arduino

The Internet of Things (IoT) based intelligent Fish farming refers to the integration of various IoT devices and sensors into traditional fish farming practices to monitor and optimize various aspects of the fish farming environment such as water temperature, pH levels, oxygen levels, and feed schedules. This can help to improve the overall health and wellbeing of the fish, reduce waste, and increase productivity and efficiency. IoT devices can also be used to track the growth and health of individual fish, allowing farmers to make data-driven decisions about when to harvest or move fish to different tanks. The use of IoT technology can also help to detect potential health issues or environmental problems early on, allowing farmers to take preventative measures to minimize the impact on their fish. Overall, smart fish farming using IoT has the potential to revolutionize the way fish are farmed, making the process more sustainable, efficient, and profitable. The project focuses on an IoT-enabled smart fish farming system. In order to deal with them, the system is coupled with an irrigation system. Indonesia’s weather is erratic. This system's microcontroller is an Arduino ESP32. The temperature sensor DSb18B20 and the soil moisture sensor DF Robot are used to regulate the environment. Both a computer and a smartphone are used to display the results.

IoT Frequency Band Canalization in Indonesia as a Recomendation For Preparation Machine-to-Machine Communication in The 5G Era

The development of cellular technology in Indonesia is accompanied by the widespread use of cellular com-munication in various aspects, one of which is its use in machine-to-machine(M2M) communication and con-necting to the Internet, often called the Internet of Things (IoT). 5G Enables large in-text connections with ex-tremely low power consumption and costs, which will drive the development of IoT technology and enable "everything connectivity." because the use of IoT is starting to grow and helping humans in all aspects, it is possible to change its name to the Internet of Everything (IoE). However, the absence of special regulations regarding the use of the IoT frequency spectrum in Indonesia allows for interference or other disturbances if there is massive use of IoT technology in the future. This research was conducted by studying primary and secondary data to provide rec-ommendations related to special frequency band canalization for IoT in Indonesia. The author classifies fre-quency canalization for IoT into 2 classes, namely class A (for short-distance transmission) in the 433 MHz spectrum and class B (for long-distance transmission) in the 915 MHz spectrum. We also hope that the Indone-sian government decides to serve a new unlicensed spectrum frequency band in the range of 915-921 MHz. This is a good step towards global harmonization of unlicensed spectrum that can grow LPWAN-based IoT.

Smart Micro Grid Architecture for Realtime Monitoring of Solar Photovoltaic Based on Internet of Things

The use of PV solar energy as an alternative renewable energy source has increased worldwide. The smart grid monitoring system is applied on a micro scale for the fulfilment of household electricity needs or Smart Home Micro Grid (SHMG) using Artificial Intelligent (AI) and Internet of Things (IoT) approaches. Problems in solar PV systems include uncertainty and non-linearity which have an impact on the increasingly complex structure of the energy data generated and accelerate control and decision making. The forecasting process carried out using the AI approach is indispensable for the utilization of PV systems, especially for distributed residential PV that is operated and maintained independently. Furthermore, the use of IoT technology is also important to accelerate information processing and improve performance in the monitoring system. The purpose of this research is to develop a solar PV monitoring system framework at SHMG to optimize the performance of the electricity supply sourced from solar PV basen on IoT.

“Home alone” no more: How does the internet of things (IoT) enhance travellers' subjective well-being

Although extensive research has recognized the importance of both IoT technologies and human well-being, the impact of Internet of Things (IoT) technologies on travellers' subjective well-being (SWB) in the information technology literature remains limited. This study aims to explore the factors and extent to which IoT technologies affect travellers' SWB during short-term trips. To this end, an integrated model was developed. The proposed model was empirically evaluated using survey data collected from a sample of 1028 British and 970 Chinese short-term travellers. A multigroup analysis has been conducted using Structural Equations Modelling (SEM) with Amos 26.0 software. The results reveal TTF has a positive indirect effect on consumers' SWB via perceived benefits in both groups and a positive direct impact in the case of the British group. However, no significant relationship was observed between TTF and travellers' SWB in the case of the Chinese group. Theoretically, this study first empirically explores and advances our knowledge of how the SWB of short-term travellers is affected by the use of IoT technologies across countries. From a practical viewpoint, this study may guide marketers toward a better understanding of how to use IoT technologies to enhance their consumers' subjective well-being in different countries.

Design and implementation of a framework for blockchain based security using IoT

The Internet of Things (IoT) has altered the world in the last few years due to its capacity to impact almost every part of life. However, IoT raises concerns about data security and privacy because it collects data from devices via the cloud, increasing its vulnerability to hacking. IoT security is a serious issue that has delayed its widespread adoption. Several security and privacy solutions have been proposed for IoT contexts that meet prevalent security criteria such as authentication, integrity, and secrecy. However, due to resource restrictions and heterogeneous IoT devices, present solutions are unable to address the security requirements of the approaching large-scale IoT paradigm. Blockchain, well known for bitcoin and Ethereum, provides an intriguing approach for IoT security. The IoT and blockchain technologies may be combined and significant improvements in distributed systems have been made as a result of the widespread use of IoT technology. A novel framework with a unique design was proposed to improve security in bitcoin transaction by combining blockchain and SHA-256 hash algorithm. Additionally, the performance of proposed framework is compared with the state-of-the-art algorithms like MD5 and SHA1 in term of encryption time, power consumption, latency, speed and security. It is observed that the proposed framework takes 12 ms lesser latency than MD5 and consumes 2.7Wh lesser power consumption than SHA1 and provides better security than both the techniques.

Design and Implementation of Automated Law Enforcement using the Internet of Things (IoT)

Due to a lack of legal enforcement, numerous vehicle accidents occur every year throughout the world. An effective vehicle tracking system is developed, tested, and classified in order to identify the speed of any vehicle in any street at any time and from any location (highways, crowded or secondary roads). The suggested system makes use of IoT technology, which is a relatively new development that has already made significant contributions to scientific research as well as offers many wonderful conveniences in daily life. The in-vehicle device utilizes GPS and GSM/GPRS, two of the most commonly used tracking technologies. The device is integrated into a moving object (vehicle) that is automatically tracked and observed in real-time. Through the OBD interface, the Raspberry Pi microcontroller periodically reads the vehicle speed. The Raspberry Pi microcontroller is equipped with GPS and GSM/GPRS modules to track the location of the vehicle. and, when the speed limit is exceeded, sends the coordinates and speed to the central station over the internet. The data pertaining to each vehicle is kept in a database at the central station. Based on the data gathered from the in-vehicle gadget, the driver who exceeded the speed limit will immediately receive a fine through the central station. The proposed system will help in reducing the likelihood of driver fraudulence and has demonstrated its efficiency and accuracy to reduce excessive speed and traffic accidents, leading to the daily saving of many lives. The system has been successfully built and effectively tested at a lower cost than traditional systems that rely on the use of cameras on each road.

IoT solutions for smart farming: A comprehensive review on the current trends, challenges and future prospects for sustainable agricultureIoT solutions for smart farming: A comprehensive review on the current trends, challenges and future prospects for sustainable agriculture

Agriculture is the most resource-intensive human activity. The goal to reduce agricultural input while producing more has been a primary driver of agricultural technology advancement since its inception. With recent advancements in supporting technologies, the usage of Internet-of-things (IoT) has become a trend in farming practice for agriculture management that use information technology to ensure that soil and plants receive their requirements for optimum health and productivity. It could be significant to summarize the trends and challenges of the application of IoT-based solutions in precision agriculture, more specifically smart crop production. Thus, the current review sought to give a complete overview of the use of IoT technology in smart farming. By surveying recent high-quality publications, IoT-based solutions applied to smart farming, with four basic layers, including data collection (perception), data transmission (transport), data processing, and application layers were summarized. The use of IoT solutions allows for resolving several issues in smart farming, such as the optimization of input resources, saving irrigation water, reducing the amount of fertilizer and pesticides, and optimizing energy resources. Accordingly, we discussed some notes about sensors, microcontroller systems, communication methods, and cloud platforms. In particular, a list of low-cost sensors and several typical single-board computers was provided. The IoT communication was discussed to get insight into the essential considerations. Since then, several key points have been noted for further directions of the application of IoT-based solutions for smart farming. Taken together, our mini-review could provide solid information for further construction and development of smart models of farming.

Technology Application in Smart Farming Agriculture: A Survey

In the current state of increasing technology, many new technologies are being introduced and developed by users in various branches of the field including in the cultivation and agriculture sectors, the increase demand for harvested products leading to the need to increase production to meet demand by farmers has prompted the use of technologies in land preparation before the start of planting, crop care, monitoring of crops, and preparation before harvesting. Technology is combined with agriculture to ensure increased yields while reducing dependence on labour. Internet of Things (IoT) is widely used in agriculture because it has the effect of reducing manpower which will reduce mistakes by human error. Farmers nowadays are moving towards autonomous farming as well as smart farming. IoT technology combined with agriculture can provide beneficial effects on crop processes as well as crop yields. This paper describes and discusses the technologies that are suitable to be used in agriculture. This paper also studies the use of IoT technology in farming.

An IoT-based resource utilization framework using data fusion for smart environments

Nowadays, many communities are emerging towards smart environments, requiring the communication and collaboration of diverse Internet-of-Things (IoT) devices. A smart environment exploits the use of IoT technology to share and process data among such devices for a better living. However, this comes with additional costs, such as the exponential growth of IoT devices, the heterogeneity of IoT use cases, and the new complex features encountered by IoT data, which complicate their processing and analysis using the traditional techniques. This causes a dramatic performance degradation of the used processing resources, which directly affects the overall efficiency and performance of IoT-based systems. Although different studies have presented resource utilization approaches for IoT systems, but they were not evaluated from different resource utilization perspectives. Besides, no efforts have been directed to investigate their effectiveness to process the unprecedented IoT data features that inevitably impact the accuracy and efficiency of resource utilization. In this paper, the Triple Phases Resource Utilized Data Fusion (TPRUDF) framework is proposed as the first IoT-based cost-aware resource utilization using data fusion. It exclusively considers different IoT data features by employing three phases of data fusion: (1) data in – data out, (2) data in – feature out, and (3) feature in – decision out. TPRUDF fuses the raw IoT data by maintaining the complex IoT data features, independent of the IoT domain or the computing model, using the spatiotemporal data fusion (STDF) IoT-based data fusion approach. TPRUDF then fuses the uncorrelated data features via the Principal Component Analysis. Finally, it employs two different resource utilization techniques: (1) Genetic Algorithms and (2) Particle Swarm Optimization, fusing their results using the voting logic fusion technique. A public edge-computing simulator is used to evaluate TPRUDF via three real-world smart cities datasets. The experimental results of the proposed TPRUDF framework indicate that it: (1) achieves an average accuracy level of resource utilization equal to 91%, (2) increases the resource utilization throughput by an average of 40% and eventually minimizes the processing delay, (3) boosts the resource utilization availability by 60%, and (4) decreases the energy consumption by 35%.

Smart agricultural remote monitoring system for better soil health using IoT

Technology has played an increasingly important role in all aspects of our lives, farming, which is heavily influenced by various environmental factors, has necessitated the development of new methods to improve crop yield. The existing GSM-based Automated Irrigation system is not as effective and has some drawbacks, so the proposed method aims to develop a more effective Smart Irrigation system. With the help of various sensor configurations, users have addressed the use of IoT technology to assist farmers in detecting significant environmental conditions such as temperature, humidity, soil moisture, and water level. A water pump controls the flow of water by opening and closing the flow when a signal is sent through the Arduino controller. Drop by drop, water is delivered to the plant's roots by a rain gun, and when the moisture level returns to normal, the sensor detects it and sends a signal to the controller, which shuts down the water pump. Smart Farming using the Internet of Things (IoT) and Wireless Sensor Networks (WSNs) with their high sensor systems and output results are possibilities to enable more accurate, network, durable Smart Agricultural systems for better Soil health using IoT.

Route Optimization of Agricultural Product Distribution Based on Agricultural Iot and Neural Network from the Perspective of Fabric Blockchain

With the fast growth of AI and Internet of Things (IoT) technology, many agricultural product sales businesses and logistics sectors have started to concentrate on agricultural product distribution information operations. The requirements for the delivery service time are very high due to the features of perishable and highly easy dehydration of fresh agricultural goods. To preserve the freshness and quality of agricultural goods, the logistics and distribution process must be completed as rapidly as possible via appropriate low temperature control and the use of IoT technology. IoT technology will surely bring about the intelligent operation in the circulation of agricultural products. With the decentralized management of the Fabric blockchain, the investment and maintenance costs of the agricultural IoT will be reduced, which will help to improve the intelligence and scale of the agricultural IoT. Aiming at the specific problems, the path optimization problem in the process of agricultural product distribution is brought out. This paper completes the following work: (1) the traditional agricultural product distribution process is roughly described, and the shortcomings and problems of the traditional mode are explored and studied. On this basis, the agricultural product circulation mode under the IoT and neural network technology is introduced. (2) The TSP problem is defined, then some algorithms commonly used to solve the TSP problem are introduced, and then the theory and method of the SOM neural network and the basic principle of the ORC_SOM algorithm are introduced in detail. (3) Through a large number of experiments, the results prove the validity of the algorithm in this paper and the rationality of the theory.

Nesnelerin İnternetinde Karar Ağacı Tabanlı Saldırı Tespit Yöntemi

Developments in computer and network technologies have also positively affected internet technology. With the development of the Internet, the concept of IoT (Internet of Things) has been invented. Nowadays, IoT devices provide convenience in many areas, and the positive effects of IoT-based systems increase people's quality of life. People want to remotely monitor and manage smart cities, smart homes, and other platforms. However, IoT systems have many vulnerabilities and thus have become the target of attackers. Detecting such attacks and preventing security vulnerabilities will further increase the rate of use of IoT technology. In this work, an intelligent intrusion detection system (IDS) for IoT devices has been suggested. The presented intelligent IDS for IoT devices have been developed on a big attack dataset and this dataset contains 3,668,443 observations. In prior works which used this dataset, researchers worked on a binary classification problem (attacked and normal). However, this research aims to classify the attack types, hence, nine categories have been used. In order to propose a prompt responded IDS model, a fast classifier which is a decision tree (DT) has been employed. Our proposal attained 97.43% classification accuracy on this dataset using 10-fold cross-validation. This accuracy rate frankly demonstrates the classification ability of our proposed IDS model for IoT devices.

Smart agricultural remote monitoring system for better soil health using IoT

Technology has played an increasingly important role in all aspects of our lives, farming, which is heavily influenced by various environmental factors, has necessitated the development of new methods to improve crop yield. The existing GSM-based Automated Irrigation system is not as effective and has some drawbacks, so the proposed method aims to develop a more effective Smart Irrigation system. With the help of various sensor configurations, users have addressed the use of IoT technology to assist farmers in detecting significant environmental conditions such as temperature, humidity, soil moisture, and water level. A water pump controls the flow of water by opening and closing the flow when a signal is sent through the Arduino controller. Drop by drop, water is delivered to the plant's roots by a rain gun, and when the moisture level returns to normal, the sensor detects it and sends a signal to the controller, which shuts down the water pump. Smart Farming using the Internet of Things (IoT) and Wireless Sensor Networks (WSNs) with their high sensor systems and output results are possibilities to enable more accurate, network, durable Smart Agricultural systems for better Soil health using IoT.

A Conceptual Model Proposal to Assess the Effectiveness of IoT in Sustainability Orientation in Manufacturing Industry: An Environmental and Social Focus

The scientific literature reveals that there is a gap oriented towards empirical study of the relationship between the Internet of Things (IoT) and sustainability in manufacturing industries. This paper aims to fill this gap by proposing a new conceptual model (CM) for evaluating the effectiveness of IoT technologies in relation to their orientation towards socio-environmental sustainability and the circular economy approach. The research methodology for developing the CM follows the PRISMA protocol, and the data are obtained from the Web of Science (WoS) and Elsevier Scopus databases, focusing on the relationship between IoT and sustainable manufacturing. The PRISMA methodology results in six articles whose statements contribute to the development of the CM. The statements are identified, categorized and organized from the selected articles and divided into dimensions, namely: IoT technology and environmental and social context. The CM incorporates these dimensions and their constructs and indicators to support the assessment of the effectiveness of IoT technologies in relation to socio-environmental sustainability and the circular economy approach. The result of this study is a CM whose objective is to guide organizations in the use of IoT technologies applied to the production and supply chain, in order to create advances in the field of sustainability and the circular economy. The CM will be validated and applied in a manufacturing industry in the next publication. The paper contributes to management practices as it explores the knowledge of performance measurement and evaluation in the context of IoT, sustainability and the circular economy approach.

Towards IoT-based sustainable digital communities

Seeking continuous development, a modern community must also be able to adapt to future possible challenges using constrained or limited resources. As a revolutionary communication paradigm, the Internet of Things (IoT) empowers the cutting-edge and emerging applications which enable manifold new intelligent services towards a smart community. The sophisticated ecosystem of a digital community is made feasible by the IoT infrastructure, which also provides community control with access to a wealth of actual data. In addition, IoT platforms empower the ubiquitous computing ability, providing more potentials to the actuators in perception layer in the IoT architecture. With more and more population in the urban areas, sustainability issues have become a key factor to consider in the development of a digital community. We give a modern survey in this study on the most recent developments in IoT for sustainable digital communities. After carefully examining the most recent literature, we specifically highlight the various smart digital community application scenarios, such as smart buildings, energy management, green transportation, trash management, etc. We also look into a number of major issues facing the use of IoT technology in digital communities. Furthermore, we discuss potential future applications and future research areas for IoT, the critical component of sustainable digital communities.

Internet of Things Technology: Balancing privacy concerns with convenience

The diversification of the use of Internet of Things (IoT) technology attracts a variety of consumers. Based on this social change, we examine the effect of IoT usage on users’ media privacy concerns, focusing on the use of wearable devices while considering cloud service usage. The data were derived from the Korea Media Panel Survey collected from 2018 to 2020 in South Korea. We extracted a final sample of 690 participants using the propensity score matching (PSM) method and applied logistic regression to analyze the data. We reveal the different perceptions of media privacy concerns between IoT service users and non-users. We found that greater use of wearable devices results in greater concern about media privacy. On the contrary, the concern is lower when cloud services are used. We propose that the use of physical IoT technology leads to an increase in anxiety about the risk of personal data leakage, whereas the use of non-physical IoT does not have a significant effect. Currently, the usage of IoT devices and services is on the rise, so this anxiety can also be expected to increase. We discuss the risks of privacy and data breaches and the need for countermeasures to balance the use of IoT technology.