Using Internet Of Things Research Articles

Intention to Use Internet of Things Among Future Accountants: Analysis Using the Technology Acceptance Model

The study explores factors influencing future accountants' intention to use the Internet of Things (IoT) in accounting by employing the Technology Acceptance Model (TAM). Key factors such as perceived ease of use, perceived usefulness, and attitude were examined using an online survey targeted to final-semester students at a public university’s Accounting Department. While 337 participants were targeted, only 121 took part. The primary objective of the survey is to access these students' perceptions of the various factors that influence the integration of IoT into accounting practices. The data was analysed using statistical techniques include correlation analysis and regression to test multiple hypotheses about the relationships between factors. The study was able to provide insights into how IoT adoption among future accountants can help transform the accounting industry. It also enhances understanding on the challenges and opportunities in integrating IoT into accounting practices. Key findings indicate that perceived usefulness has a significant and positive relationship with behavioural intention among future accountants, suggesting that they are more inclined to adopt IoT if they perceive it as useful. However, perceived ease of use and attitude do not have statistically significant impact on behavioural intention. The findings can help educational institutions and technology providers better prepare accountants for an evolving job market.

A blockchain-enabled decentralized access control scheme using multi-authority attribute-based encryption for edge-assisted Internet of Things

More edge users opt to use Internet of Things (IoT) devices to collect their data (e.g., health data, social data, e-governance data, etc.), which are stored in central cloud service providers (CSPs). However, this compromises data privacy and creates issues with collusion attacks. Current ciphertext-policy attribute-based encryption (CP-ABE) schemes with and without blockchain have only partially addressed these issues. Ongoing challenges remain to be resolved, including large-universe attribute management, secret key verification, and malicious attribute authorities (AAs) tracking. Therefore, we propose a decentralized access control scheme (namely BLUMA-CPABE) integrating blockchain with multi-authority ciphertext-policy attribute-based encryption (MA-CP-ABE). The scheme not only supports large-universe, policy hiding, and AAs tracking, but it also utilizes on- and off-chain mechanisms to alleviate the computation burden of the blockchain. In addition, we develop a verifiable key distribution approach in which AAs are configured as blockchain consensus nodes capable of issuing, signing, validating, and disseminating secret keys as transactions on-chain. It guarantees the keys’ security and reliability. To incentivize authorities to control newly added attributes proactively for large-universe, we enhance the Proof-of-Authority (called PoA＋) consensus mechanism in multi-authority scenarios. It allows authorities to take turns proposing and confirming new blocks based on three contribution indicators: attribute management contribution, data decryption contribution, and block validation gain. The proposed scheme is proven statically secure while resisting collusion attacks. The experimental results demonstrate the feasibility and efficiency of our scheme.

IoT Based on Industry Power Status Monitoring and Alert Systems using RaspberryPI and Thingsboard

Real-time power status monitoring and alerting is a crucial component of companies such as Internet Service Providers (ISP). These kinds of solutions are desired in order to avoid accidents that result in loss of life, loss of financial data, and damage to devices. Additionally, it helps to take the appropriate intervention if necessary. Due to the sensitivity of this problem, businesses, and organizations such as the World Meteorological Organization (WMO) have been using a variety of strategies and AI technologies for disaster management. To overcome the limitation of these methods, industries like Microsoft Azure are trying to use Internet of Things (IoT) based solutions because it is light, flexible, and lower operating cost. In this research, we propose the Thingsboard, an IoT based open-source platform, along with raspberry-Pi for collecting and monitoring the voltage and current related data from the different sites and managing alerting systems based on their status. This system has been successfully implemented for ISP companies.

Energy-Efficient IoT-Based Light Control System in Smart Indoor Agriculture.

Indoor agriculture is emerging as a promising approach for increasing the efficiency and sustainability of agri-food production processes. It is currently evolving from a small-scale horticultural practice to a large-scale industry as a response to the increasing demand. This led to the appearance of plant factories where agri-food production is automated and continuous and the plant environment is fully controlled. While plant factories improve the productivity and sustainability of the process, they suffer from high energy consumption and the difficulty of providing the ideal environment for plants. As a small step to address these limitations, in this article we propose to use internet of things (IoT) technologies and automatic control algorithms to construct an energy-efficient remote control architecture for grow lights monitoring in indoor farming. The proposed architecture consists of using a master-slave device configuration in which the slave devices are used to control the local light conditions in growth chambers while the master device is used to monitor the plant factory through wireless communication with the slave devices. The devices all together make a 6LoWPAN network in which the RPL protocol is used to manage data transfer. This allows for the precise and centralized control of the growth conditions and the real-time monitoring of plants. The proposed control architecture can be associated with a decision support system to improve yields and quality at low costs. The developed method is evaluated in emulation software (Contiki-NG v4.7),its scalability to the case of large-scale production facilities is tested, and the obtained results are presented and discussed. The proposed approach is promising in dealing with control, cost, and scalability issues and can contribute to making smart indoor agriculture more effective and sustainable.

An online virtual laboratory model based on the Internet of Things for use in the field of renewable energy

The field of engineering has always relied on experimentation as a pillar to deepen students' knowledge. During the period of the Corona pandemic, the importance of remote laboratories emerged as universities closed their doors due to this pandemic. From here came the idea of the research, which is the design and implementation of a prototype remote laboratory suitable for conducting practical experiments based on Internet of Things (IoT) technique. The proposed remote laboratory is based on a client-server model; where the server side represents the laboratory side, and the client side represents users, which are divided into three user types: administrators, lecturers, and students. The proposed experiments are based on the Effects of various environmental parameters on PV-module power and efficiency. Students can access it in a secure way through an interface that is provided as a web page, and all that users need to perform the experiment is a web browser, internet connection, username and password. The low-cost Hardware part involves the Microcontroller, the solar cell, and the sensors that are required for data acquisition from the overall experiment environment, in addition to actuators to control the environmental parameters. The hardware part is designed to be controlled by software, which has been created in several programming languages (Python, HTML, JavaScript, MySQL, and LabVIEW). Finally, a Web camera was connected to the server to provide a live video stream to monitor the device's status to give the student the feeling that he is close to the real laboratory. Finally, the proposed system supported with automatic assessment mechanism to evaluate the student's performance during the conduction of the experiment and thus to reduce the effort of the supervisor of the laboratory.

An efficient mechanism using IoT and wireless communication for smart farming

IoT sensors are able to aggregate data regarding their agriculture field in real time have given rise to the concept of smart farming. The agricultural sector is of great importance to fulfill food resources need of the country. Most industries, including “smart agriculture,” have been completely redone in light of new internet-of-things (IoT) technologies that brought in new quantitative approaches. Such revolutionary changes are upending traditional agricultural practices and presenting new opportunities in the face of a variety of challenges. Agricultural applications involving wireless sensors and IoT devices are analyzed in detail. For agriculture-specific use, such as soil grounding, harvest position, irrigation, bug & insect discovery, a list of available sensors is provided. In this article, we proposed a WSN framework based on the Internet of Things for use in smart agriculture, with different design levels to choose from. The first step is having sensors on the farm which are capable of collecting relevant data and determining the appropriate cluster heads. In addition, the signal strength on the communication link is calculated by means of the signal to noise ratio (SNR) in order to attain reliable and competent information diffusion over long distances. Second, the recurrence of the linear congruential generator is used to ensure the security of information spread as of agricultural sensors to base stations (BS) by means of the linear congruential producer. Comparing the proposed framework to other solutions, the simulation results showed that it significantly improved communiqué routine by standard of 16.3 percent in system throughput, 36.3 percent in packet drop ratio, 12.4 percent in network latency, 18 percent in energy consumption, and 19 percent in routing overheads.

Application of Internet of Things to Ensure Improved Performance within the Internal Supply Chain Unit of an Organization

With the rapidly changing business world, technology adapted for doing business has also undergone rapid transformation leading to use Internet of Things as an advanced technological innovation required to connect production units to internet devices for smooth production and operation, with enhanced ICT systems and infrastructure. Internet of Things is considered to be an advanced information and communication technology, whose applicability is highly needed to ensure smart performance of organizations in Indonesia. Indonesia, being a developing country, adapting to new ways of doing things, including the use of IoT takes time, hence affecting studies regarding the use of IoT in business units, such as the internal supply chain sector. Thus, there is no much studies from a localized perspective, measuring the importance and using IoT as well as supply chain performance of the country. The present paper applied an organizational capacity theory to establish the Internet of Things impact on varying dimensions of Supply Chain, which included supply chain integration process, organizational performance of supply chain and the capacity to the influence production. The research applied a survey of cross-section on several companies within the Greater Jakarta area as the research approach. Data was obtained from over 161 companies from across Jakarta. Finally, the data was analyzed with the help of the structural equation modelling (SEM-AMOS) for the development of an empirical structural model.

Internet of Things (IoT) enabled smart queuing model to support massive safe crowd at Ka’aba

One of the important rituals that Muslims do on their pilgrimage to Makkah, which is called Tawaf in Arabic, is a walk around the Ka'aba seven times. The space around the Ka'aba is limited and it is usually crowded. Pilgrims arrive at unpredictable intervals to perform the Tawaf and quickly join the crowd, which increases the population. Congestion and high density are issues that arise during the Tawaf as a result of time and space constraints. Furthermore, short proximity among pilgrims owing to the crowd during prayers, Tawaf, congregation, stay in hotels, creates a perfect environment for transmission of infectious diseases. Therefore, changes in the crowd movement pattern and smart scheduling can not only reduce the transmission of infectious diseases, but safety from being stressed and injuries which is caused due to fellow pilgrims push into each other. This problem specifically affects older people and female pilgrims. This study proposes a smart queue at various entry points to reduce the waiting time in the system as a function of the number of multiple entry/exit loops, social distancing, and arrival rates of pilgrims. The study also proposes to use Internet of Things (IoT), and Radio Frequency Identification (RFID) technologies to monitor the crowd at exit/entry points that will help in capacity estimation and planning. Furthermore, the study recommends redesigning the entry and exit mechanisms for smart queues to minimize congestion and alleviate the associated problems while maintaining pilgrimage rituals. We evaluated the achievements of our proposed model by simulating historical data. The simulation results indicate that the average completion time for circumambulation is significantly reduced.

IoTracker: A probabilistic event tracking approach for data-intensive IoT Smart Applications

Smart Applications for cities, industry, farming and healthcare use Internet of Things (IoT) approaches to improve the general quality. A dependency on smart applications implies that any misbehavior may impact our society with varying criticality levels, from simple inconveniences to life-threatening dangers. One critical challenge in this area is to overcome the side effects caused by data loss due to failures in software, hardware, and communication systems, which may also affect data logging systems. Event traceability and auditing may be impaired when an application makes automated decisions and the operating log is incomplete. In an environment where many events happen automatically, an audit system must understand, validate, and find the root causes of eventual failures. This paper presents a probabilistic approach to track sequences of events even in the face of logging data loss using Bayesian networks. The results of the performance analysis with three smart application scenarios show that this approach is valid to track events in the face of incomplete data. Also, scenarios modeled with Bayesian subnets highlight a decreasing complexity due to this divide and conquer strategy that reduces the number of elements involved. Consequently, the results improve and also reveal the potential for further advancement.

Implementation and Analysis of an IoT-Based Home Automation Framework

The pervasive advancement in the field of an autonomous system is significantly influenced by the concept of integrating a large number of devices. The use Internet of Things (IoT) has increased day by day for making connected devices over the internet. Besides, mobile sensing devices operated by IoT including smartphones, tablets, digital cameras, sensors, etc. are providing access to a large variety of data and services based on human interaction. In this paper, the implementation and analysis of an IoT-based home automation framework using NodeMCU through the MQTT protocol are described. This helps the users to monitor and control home appliances from remote places by using a mobile application over the internet.

Intelligent Monitoring System of Residential Environment Based on Cloud Computing and Internet of Things

With the development of society and the improvement of living standards, people pay more and more attention to their own living environment and life safety, and more people are gradually paying attention to the impact of the quality of the living environment on their health and work efficiency, and to meet this demand of people, it is necessary to effectively monitor and control the living environment. Based on this, this article applies cloud computing and Internet of things technologies that have developed rapidly in recent years, and proposes to design a residential environment intelligent monitoring system based on cloud computing and Internet of things, and use Internet of things and sensor technologies to achieve target connection and communication. It then uses distributed computing, a cloud computing technology, to implement integrated, standardized management of this system for truly intelligent monitoring. In this article, we first gathered a large amount of information through literature search methods, systematically introduced cloud computing and Internet of Things technologies, and introduced two applications in environmental intelligent monitoring. Next, we propose a design experiment of a residential environment intelligent monitoring system based on cloud computing and the Internet of Things, and propose an overall concept of system design, system hardware and software design requirements, and device selection and comfort evaluation. And living environment data integration is introduced in detail. We then tested the performance of the system in a specific application of the system in a real residential environment, using data parameters collected at different points in time as experimental data. Finally, it is concluded that the fuzzy close fusion algorithm used in the experiment can obtain data parameter values that are in good agreement with the real values, and the error range is controlled within 0–0.01; the indoor environment comfort is judged by 1 as the standard. $PMV>1$ indicates that the comfort level is excellent, and in the test experiment, each parameter value at 5 time points is all > 1, indicating that the indoor environment comfort level detected by the system is excellent.

Control and Monitor of IoT Devices using EOG and Voice Commands

This paper aims to deploy a machine to control and monitor home devices, and to assist people who suffer from spinal cord injuries to control devices, such injuries cause people to lose their ability to use their body movements, normal people may use voice commands as well. The prototype used electrooculography (EOG) system [1, 2, 3]. The patients who suffer from spinal cord injuries may use this system to control household appliances and use the voice system to control home devices. This prototype use internet of things (IoT) technology through Wi-Fi and Arduino microcontroller to capture eye muscle movement signals, that are taken from patients, or voice signals to compare them with pre-recorded voice commands. Many tests have been made to assure correctness and speed using different environment parameters and conditions. The error rate was 2.5% for EOG and 1% for voice commands in the best cases. The idea could be developed further, smartphones and mobile data can be used for controlling and monitoring homes remotely.

Growing Trends in Indian Farming using Internet of Things (IoT)

India is a land of different weather conditions and versatile soils. Every year Indian farmers are facing problem of sudden rain in their areas without any correct weather forecast which leads to damage of the already grown crops. The second major problem pertaining to Indian farmers is the lack of sufficient knowledge about their soil. The soil forecasting of how the soil structure is changing day by day due to different weather condition and other external factors, and which crop will be optimally suited to be grown in such soil are some of the problems common to the farmers. This paper makes an attempt to assess and propose model solution along with developing a prototype of device using IoT for use by farmers in Indian agriculture practice. The solution proposed will have a centralized data server to analyze the data and report to the farmer the precautionary steps to be taken in advance for safety of the crops. The solution proposed have eco-friendly energy management through solar plant and wind energy which makes IoT device more portable and low cost, along with making it implementable in Indian rural sectors.

Prototyping Non-holonomic Hovercraft for Path Planning and Obstacle Avoidance

— By definition, autonomous control systems are thesystems that sense the physical quantities from their environmentand may execute any dirty, difficult, dull and dangerous taskwithout any intervention. These systems are mostly used in thetransportation of large packages from one place to anotherautonomously by selecting the shortest path, accurate speed andobstacle avoidance. This paper describes the development offuzzy based PID control algorithm to tackle the dynamicconstraints of localization for proposed non-holonomichovercraft. Furthermore, in order to monitor the hovercraft thatwhether it is hovering in a familiar or strange environment;paper suggests the incorporation of digital image processingtechnique which will regularly correlate, the images beingcaptured by the prototype. Moreover, paper methodology alsoprovides the deployment way along with the interfacingtechniques of some configurable sensors, which will share theinformation related to the surroundings of hovercraft usinginternet of things (IoT).

PRIVACY ISSUES IN SMART HOME DEVICES USING INTERNET OF THINGS – A SURVEY.

08Oct 2018 PRIVACY ISSUES IN SMART HOME DEVICES USING INTERNET OF THINGS A SURVEY. D. Usha and M. Bobby. Assistant Professor,Department of Computer Science, Mother Teresa Women?s University, Kodaikanal. Research Scholar, Department of Computer Science, Sri Adi Chunchanagiri Women?s College,Cumbum.

Real-Time Monitoring of Driver’s Biometrics to Prevent Multi-Vehicle Chain Collisions Caused by Impending Medical Emergencies

Smart healthcare systems are essentially going to become an inevitable part of our day to day activities. Sophisticated health monitoring devices will be used to provide a safer and less accident-prone society. Their use in active accident mitigation and management will extend, in the coming years, to not only our home atmosphere but will also include manufacturing, transportation, work-place and agricultural milieu. As a matter of fact, real time healthcare monitors have been introduced in some high-end, expensive luxury cars such as Mercedes-Benz and Tesla. The design proposed is a low-cost and affordable, continuous healthcare monitoring system which aims to extend the use Internet of Things (IoT) to vehicular systems. It is designed to detect anomalies in the driver’s health conditions and take preventive actions to prevent road accidents. These actions include steadily reducing the vehicle’s speed and ultimately stopping it. Simultaneously, an alarm or warning is relayed to the nearby vehicles of the impending emergency that has occurred, thus cautioning them of a possible accident. An emergency message is spontaneously relayed to the concerned medical personnel and to the emergency contacts–relatives of the driver.

Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study).

ABSTRACTModification of lifestyle habits, including diet and physical activity, is essential for the prevention and control of type 2 diabetes mellitus (T2DM) in elderly patients. However, individualized treatment is more critical for the elderly than for general patients. This study aimed to determine lifestyle interventions that resulted in lowering hemoglobin A1c (HbA1c) in Japanese pre- and early diabetic elderly subjects. The BEST-LIFE trial is an ongoing, open-label, 6-month, randomized (1:1) parallel group trial. Subjects with HbA1c of ≥5.6%—randomly assigned to the intervention or control group —use wearable monitoring devices loaded with Internet of things (IoT) systems that aids them with self-management and obtaining monthly remote health guidance from a public health nurse. The primary outcome is changes in HbA1c after a 6-month intervention relative to the baseline values. The secondary outcome is the change of behavior modification stages. The background, rationale, and study design of this trial are also presented. One hundred forty-five subjects have already been enrolled in this lifestyle intervention program, which will end in 2019. The BEST-LIFE trial will provide new evidence regarding the effectiveness and safety of our program on lowering HbA1c in elderly subjects with T2DM. It will also investigate whether information communication technology tools and monitoring devices loaded with IoT can support health care in elderly subjects. The trial registration number is UMIN-CTR: UMIN 000023356.

COMPREHENSIVE STUDY ON VARIOUS APPLICATIONS USING INTERNET OF THINGS (IOT) FOR SMART CITY.

29Nov 2017 COMPREHENSIVE STUDY ON VARIOUS APPLICATIONS USING INTERNET OF THINGS (IOT) FOR SMART CITY. Nairuti Sheth , Hiteshri Yagnik , M. T. Savaliya and Manan Shah. Student, L.J. Institute of Engineering and Technology, Ahmedabad, Gujarat, Gujarat Technological University, Gujarat, India. Student, Gujarat Technological University, Gujarat, India. Head of Department of Computer Engineering, Vishwakarma Government Engineering College, Ahmedabad, Gujarat, India. Scientist, CEGE, Faculty, School of Petroleum Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India.

Fostering Innovations in Pervasive Applications through Teaching and Learning of STEMSEL Microchip Technology

This Paper describes the new Paradigm in the Teaching & Learning of Embedded & Microcontroller programming and Application Development. The Authors use the STEMSEL Microchip Programming methodology to teach the Application Development for Pervasive Computing Environments. In the recent years the development of Applications in Ubiquitous environments with the use Internet of Things has triggered a massive research challenges and intensive programming needs. This paper explains the use of a new Integrated Development Environment using simple Graphical Drag & Drop based tool to program such applications. This is applied to develop applications using Bluetooth , WIFI etc for various pervasive computing needs. This Integrated Development Environment is very useful to Teach & Learn such technologies in a simple and quick way.

Guest Editorial Special Section on Internet-of-Things for Smart Cities and Urban Informatics

The papers in this special section focus on the Internet of Things for use in smart cities and urban informatics. CITIES around the world are currently under quick transition toward a low-carbon environment, high quality of living, and resource-efficient economy. Smart systems are crucial components for building sustainable cities and aggregating comprehensive urban informatics. Internet-of-Things (IoT) is an emerging technology evolved from the convergence of wireless technologies, embedded systems, and the Internet. Extensive research on IoT is taking place on sensing and automatic control, network infrastructure and communication, and big data analytics. This facilitates a multidisciplinary approach for developing integrated solutions and creating novel applications to build a sustainable society. Combinations of IoT with autonomous systems, machine intelligence, sensor and actuator networks provide smart functions in wide application domains, including environmental monitoring, smart transportation, industrial production, and security surveillance. This special section on Internet-of-Things for smart cities and urban informatics is focused on the development, adoption, and application of IoT technology to improve the efficiency of cities and enhance urban services in society. It covers topics including smart transportation, smart buildings, data transmission and analytics, system designs, and experiments of IoT for smart cities.