Use Of Internet Of Things Technologies Research Articles

Enhancing Sustainability: Exploring IoT Integration in Renewable Energy Infrastructure

The management and utilization of sustainable resources have undergone a significant transformation as a result of the integration of Internet of Things (IoT) technology into the renewable energy sector. IoT has simplified the optimization of renewable energy sources, including solar, wind, and hydropower, by leveraging sensor technology, data analytics, and connectivity. This optimization has resulted in major advances in energy production efficiency, equipment maintenance procedures, and the smooth integration of renewable energy into established power grids. Operators can optimize energy output while reducing waste by adjusting operations in real time through continuous monitoring and analysis of data gathered from IoT-enabled sensors. Moreover, by predicting and fixing possible problems before they arise, predictive maintenance algorithms significantly contribute to increased equipment reliability by lowering downtime and operating expenses. Furthermore, IoT systems allow for dynamic modifications to energy flow, guaranteeing the stability and dependability of the integration of renewable energy sources into the current power networks. This research investigates the use of IoT technology in the renewable energy sector in detail, exploring its several uses and assessing how it affects industry standards, sustainability goals, and the overall energy environment.

Real-Time Telerobotic Manipulator Control Using Hand Gestures

Control of Objects from a remote distance became an important factor for mankind about decades ago. Since then there has been a tremendous amount of improvements in the field of remote control. Once the “Internet of Things(IoT)” had been introduced, remote control technology across various applications has also opted for this method of data transmission from device to device over the internet. Through this work, a new way of controlling a robotic arm that can mimic/repeat human hand gestures and operate in a remote location through the use of IoT technology is proposed. The robotic arm design involves generative designing for weight reduction over a five end-effector model for cost and weight reduction purposes, also for the cause of hand gesture recognition a Neural Network has been trained and implemented behind an application that has been completely programmed in python. As compared to traditional methods of controlling a robotic arm the proposed method provides better cost efficiency, data transmission, data collection, and accessibility due to the abundant availability of computers, and adaptability towards the growing technology.

Investigating popular topics for the integration of the internet of things in physical education: A content analysis in higher education

Background Problems: Advanced technologies, such as the Internet of Things (IoT), have played an increasingly important role in the development of physical education in higher education. Research Objectives: This study aims to conduct a content analysis of the use of IoT technology in physical education in higher education. Methods: Scopus and Web of Science databases were used to collect and analyse data for this study, with a total of 178 articles obtained, consisting of 104 articles (Scopus) and 74 articles (Web of Science). The final data used for this study consisted of 20 articles, as it only targeted the top five topics related to the internet of things (IoT) in physical education after being analysed using ScientoPy. Findings and Results: The analysis identified five main topics related to the application of the internet of things in physical education in higher education, including cloud, artificial intelligence, deep learning, big data, and virtual reality. The implications of these findings for the development of physical education in higher education are discussed in this study, emphasizing the importance of IoT technology integration in creating a more adaptive and responsive learning environment. Conclusion: The contributions of this research include providing deeper insights into how IoT technologies can be applied in physical education in higher education, as well as highlighting the potential to improve the effectiveness of learning and teaching in this area. The conclusions of this study emphasises the importance of continuing to develop innovations in the application of IoT technology in physical education in higher education in order to achieve a more efficient and competitive learning environment.

Leveraging IoT for Enhanced National Security : A Comprehensive Review

In an era marked by rapid technological advancement and evolving security threats, the integration of Internet of Things (IoT) technologies has emerged as a pivotal strategy for bolstering national security efforts. The integration of Internet of Things (IoT) technologies into national security frameworks offers unprecedented opportunities for enhancing situational awareness, proactive threat detection, and effective response mechanisms. By deploying IoT devices such as sensors, cameras, and drones across various sectors including border control, critical infrastructure protection, and emergency management, governments can achieve real-time monitoring and data-driven decision-making capabilities. This paper gives a comprehensive review of the use of IoT technologies in national security, including real-time surveillance, border control and critical infrastructure protection. It examines the challenges and propose strategies, including the development of robust regulatory frameworks.

Internet of Things (IoT) and cyber security in the control of electrical energy systems: A review

This article provides an assessment of the use of Internet of Things (IoT) technology in the control of electrical energy power systems and its cybersecurity risks. Electrical energy systems are complex and critical infrastructures today, and effective management and control of these systems are of great importance. The use of IoT technology in electrical energy systems allows these systems to become more efficient, flexible, and intelligent. However, the use of this technology also brings various cyber security risks. While this article examines the applications of IoT in power systems, it also focuses on how these systems can be protected against cybersecurity vulnerabilities.

Implementation of IoT-Based Smart Tourism Destination Tools as Tourism Leisure 5.0

Due to its ability to create commercial opportunities that local communities can manage, tourism is a well-known industry with significant development potential. Information technology has had significant advancements in its application within the tourism industry, and its implementation is now commencing in Indonesia. The use of IoT technology in the tourism industry necessitates a series of sequential stages, culminating in the establishment of a comprehensive information platform that facilitates the monitoring and administration of tourism activities. Utilizing IoT technology to construct a tourist platform helps expedite the process of integrating information and infrastructure while effectively leveraging smart technology in the tourism sector. The research methodology employed is a hybrid approach. The data outputs are processed and evaluated using a strategy that caters to the interests of the community and parties involved in the collaborative development of smart tourism, both qualitatively and quantitatively. The analysis stage uses the theory of visual perception as a way to understand what the desired implementation of IoT-based smart tourism looks like. This is shown in the selection stage. Meanwhile, this investigation concluded with a technological readiness level of five. The research was conducted without any prior investigation that aligned with the themes, tools, and objects employed by the researchers, representing the current state of the art. Furthermore, the research team comprises specialists in the domain of information systems, including two members who possess expertise in information systems and languages. This ensures a comprehensive grasp of the tools utilized in model development, collaboration, and the potential for technological advancement. In addition to the desired outcome, this is an Internet of Things (IoT)-based intelligent tourism system that may be utilized as a tool in many tourist destinations across Indonesia.

Automation Watering System Berbasis IoT Cerdas pada Bawang Merah

In the current era of rapid technological development, smart irrigation systems are increasingly needed in cultivating crops, including shallots. This system was built to increase plant productivity by using smart irrigation to anticipate climate changes that occur. Through the use of IoT technology and expert systems, this system can provide effective solutions in optimizing the growth and quality of shallots. This Automation Watering System uses a microcontroller as the brain of the system which is connected to various sensors and actuators. The microcontroller takes data from sensors and sends it to the server via a WiFi network or other wireless protocol. The server then analyzes the data using an expert system that has been programmed with expert knowledge in the field of shallot cultivation. This Automation Watering System is able to optimize water use. and avoid excess or lack of watering. The results showed that with the integration of the Internet of Things (IoT) and expert systems, this system can provide smart solutions in shallot cultivation, ensure optimal growth, and produce better harvest results.

Blockchain-enabled collaborative anomaly detection for IoT security

Protection of the Internet of Things (IoT) has become a significant concern due to the widespread use of IoT technologies. Conventional Intrusion Detection Systems (IDS) have challenges when used in IoT networks because of resource restrictions and complexities. Blockchain Technology (BCT) has significantly altered organizations' financial behavior and effectiveness in recent years. Data security and system stability are crucial concerns that must be tackled in blockchain systems. The study suggests a mechanism called Deep Blockchain-Enabled Collaborative Anomaly Detection (DBC-CAD) for security-focused distributed Anomaly Detection (AD) and privacy-focused BC with smart contracts in IoT networks. A Modified - Long Short-Term Memory (M-LSTM) based Deep Learning (DL) algorithm with a multi-variable optimization approach has been used for the AD approach. The multi-variable optimization technique has been used to set the hyperparameters. The Ethereum framework creates privacy-focused BC and smart contract techniques that safeguard decentralized AD engines. The proposed M-LSTM model has the highest detection rate of 99.1%. The findings show the effectiveness of the proposed systems in identifying assaults on IoT networks.

AN ULTRA-WIDEBAND PATCH ANTENNA FOR FUTURE INTERNET OF THINGS APPLICATIONS

The Internet of Things (IoT) era is driving up demand for wireless connectivity, changing the tech sector. The creation of a compact, inexpensive, and effective antenna is crucial for supporting IoT devices. In this study, a hybrid strategy (HS)-based dense rectangular patch antenna for future Internet of Things applications (IoT) is demonstrated. A slotted patch and a partial ground with defected ground structure (DGS) are combined to create HS, leading to in a small antenna with a large impedance bandwidth, good impedance matching, increased radiation efficiency, and high gain. The antenna is designed on an FR4_epoxy substrate with a compact size of 30 × 20 × 0.8 mm3, a dielectric constant of 4.4, a thickness of 0.8 mm, a loss tangent of 0.02 and fed by a 50 Ω microstrip feed line. It is analyzed and simulated at the operating frequency of 5.2 GHz for ultra-wideband (UWB) (3.1–10.6 GHz) applications using high-frequency structure simulator (HFSS) software. The simulation results reveal that the antenna offers a broad bandwidth of 19.9 GHz (3.10 GHz to 23 GHz), a gain of 7.97 dB with an efficiency of 0.9651 (96.51%). The radiation pattern is bidirectional in both the E-plane and H-plane. Hence, the proposed antenna is very promising for future IoT applications due to its compact size and wide bandwidth characteristics. It also enhances connectivity and performance, lowers interference, opens up new applications, and encourages the widespread use of IoT technology, ultimately leading to the development of a more sophisticated and connected society.

Task offloading and trajectory control techniques in unmanned aerial vehicles with Internet of Things – An exhaustive review

Objectives: This article reviews and provides an exhaustive examination of task offloading and trajectory control techniques in unmanned aerial vehicles (UAVs) integrated with Internet of Things (IoT), highlighting their significance and impact on the UAV ecosystem. The paper begins by introducing the fundamental concepts of UAVs, IoT, and their integration, emphasizing the potential benefits and challenges of this union. Subsequently, it delves into an extensive exploration of task offloading, a critical aspect that optimizes UAV operations by distributing tasks between the UAV and edge/cloud computing resources. Various task offloading strategies, including computation offloading, data offloading, and control offloading, is discussed in detail, elucidating their role in optimizing resource utilization, energy efficiency, and real-time decision-making in UAVs.Methods: The review comprehensively covers trajectory control techniques, which are essential for ensuring UAVs can navigate through dynamic environments safely and efficiently. This study outlines the use of IoT technologies, such as GPS, sensors, and communication networks, to enable precise trajectory planning, obstacle avoidance, and adaptive path adjustments. It also discusses the integration of machine learning and AI algorithms for autonomous UAV navigation, taking into account environmental factors, mission objectives, and real-time data from IoT sources. The paper further discusses the challenges and potential security concerns associated with IoT integration in UAVs, as well as the emerging trends and future prospects of this dynamic field. It emphasizes the need for standardized protocols and robust cybersecurity measures to ensure the reliability and safety of UAV-IoT systems.Findings: This exhaustive review offers a comprehensive understanding of the synergistic relationship between UAVs and IoT, shedding light on the task offloading and trajectory control techniques that empower these autonomous aerial vehicles. By leveraging IoT technologies, UAVs are poised to continue transforming industries and driving innovation in ways previously unimaginable, making this interdisciplinary field an area of great promise and significance.

A Hybrid Architectural Model for Monitoring Production Performance in the Plastic Injection Molding Process

Monitoring production systems is a key element for identifying waste and production efficiency, and for this purpose, the calculation of the Key Performance Indicator (KPI) Overall Equipment Effectiveness (OEE) is validly recognized in the scientific literature. The collection and analysis of the cause of the interruption of the plants is particularly useful in this sense. The use of Internet of Things (IoT) technology in order to automate data collection for the purpose of calculating the OEE and the causes of interruption is effective. Furthermore, the existing literature lacks research studies that aim to improve the data quality of important process data that cannot be collected automatically. This study proposes the use of IoT technologies to request targeted and intelligent information inputs from the operators directly involved in the process, improving the completeness and accuracy of the information through the real-time and smart combination of manual and automated data. The Business Process Model and Notation (BPMN) methodology was used to analyze and redesign the collection data process and define the architectural model with a deep knowledge of the specific process. The proposed architecture, designed for application to a plastic injection molding production line, comprises several elements: the telemetry of the injection molding machine, an intervention request system, an intervention tracking system, and a human–system interface. Furthermore, a dashboard was developed using the Power BI software, 2.122.746.0 version, to analyze the information collected. Reducing the randomness of manual data makes it possible to direct production efficiency efforts more effectively, helping to reduce waste and production costs. Reducing production costs appears to be strongly linked to reducing environmental impacts, and future studies will be able to quantify the benefits obtained from the solution in terms of environmental impact.

RANCANGAN PROJECT BASED E-LEARNING BERBASIS INTERNET OF THINGS UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KREATIF MAHASISWA

This research aims to improve the creative thinking abilities of Tribhuwana Tunggadewi University students through the use of an Internet of Things (IoT) based e-learning project design. The research subjects consisted of 60 students divided into experimental class (30 students) and control class (30 students). The research method used was a control class and an experimental class with pretest and posttest administration in both classes. The data collected is quantitative and qualitative data which is analyzed using descriptive and inferential statistical techniques. The research results showed that there was a significant difference between the creative thinking abilities of students in the experimental and control classes after being given treatment. The experimental class that used an IoT-based project-based e-learning design showed a more significant increase in creative thinking abilities compared to the control class. This shows that the use of IoT-based project based e-learning designs is effective in improving students' creative thinking abilities. Discussion of research results shows that the use of IoT-based project based e-learning designs can improve students' creative thinking abilities through more interactive, collaborative, and contextual learning. In addition, the use of IoT technology can facilitate student-centered learning activities and provide a more personalized and enjoyable learning experience. In conclusion, the use of an IoT-based project based e-learning design can be an innovative and effective alternative learning method in improving students' creative thinking abilities. This research contributes to the development of learning model that is oriented towards creative thinking skills and the use of technology in education.

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.