Internet Of Things Based System Research Articles

MODELING OF IOT-BASED ADDITIVE MANUFACTURING MACHINE’S DIGITAL TWIN FOR ERROR DETECTION

Additive Manufacturing technology is one of the technologies that is changing the manufacturing industry. It has revealed some advantages over traditional manufacturing methods with this technology. With the advancement of information technologies, new approaches focusing on cost and improvement have begun to be adopted in the manufacturing industry. One such method is digital twin technology. A digital twin is frequently referred to as a digital replication of a physical system. Digital twins provide data and models to support the operation of design and manufacturing processes, as well as troubleshooting, diagnostics, and problem-solving. Various sensors are required to monitor the status of physical systems and transfer data to digital systems. Some of these Internet of Things-compatible sensors are already in production machines, but others can be added later. In the study, an Internet of Things-based system was proposed for the creation of digital twins using a virtual environment, and a digital twin simulation was created in order to bring the benefits of digitalization to production systems. The digital twin is modeled in the Matlab Simulink environment to perform binary classification to detect abnormal physical conditions that have the potential to disrupt the operation of the additive manufacturing machine and affect the quality of the manufacturing part. By generating a digital twin from real machine data, the proposed system will be able to detect errors.

Exigency for the Control and Upgradation of Indoor Air Quality—Forefront Advancements Using Nanomaterials

Due to increasing health and environmental issues, indoor air quality (IAQ) has garnered much research attention with regard to incorporating advanced clean air technologies. Various physicochemical air treatments have been used to monitor, control, and manage air contaminants, such as monitoring devices (gas sensors and internet of things-based systems), filtration (mechanical and electrical), adsorption, UV disinfection, UV photocatalysts, a non-thermal plasma approach, air conditioning systems, and green technologies (green plants and algae). This article reviews presently viable technologies for cleaning indoor air and enhancing IAQ. However, regarding the integration of each technology, there are certain limitations to these methods, including the types of pollutants released. As a result, advanced nanomaterials have been applied to monitoring sensors, filtration and adsorption media, and UV photocatalysts to improve IAQ values. The most important nanomaterials used in this regard include polymeric nanofibrous membranes, nanoporous nanomaterials, nanocomposite hydrogels, polymer/nanocarbon nanocomposite, polymer/metal oxide nanocomposite, polymeric nanohybrids, etc. Accordingly, through the use of nanotechnology, optimal solutions linking IAQ regulation techniques to novel nanomaterials can be achieved to attain safe IAQ levels.

On Data-Driven Self-Calibration for IoT-Based Gas Concentration Monitoring Systems

In this article, data-driven self-calibration algorithms for the Internet of Things-based gas concentration monitoring systems embedded with low-cost gas sensors are designed. The measurement errors are assumed to be caused by imperfect compensation for the variation of sensor component behavior. Specifically, the calibration procedure for the nondispersive infrared <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$CO_{2}$ </tex-math></inline-formula> sensors is developed, for which the temperature dependency is the most dominant drift source. For a single sensor, the hidden Markov model is used to characterize the statistical relationship between different quantities introduced by the physical model that builds on the Beer–Lambert law. For the calibration in the Internet of Things-based system, sensors first transmit their belief functions of the true gas concentration level to the cloud. Then, the cloud fusion center computes a fused belief function according to certain rules. This belief function is then used as reference for calibrating the sensors. To deal with the case where belief functions highly conflict with each other, a Wasserstein distance-based weighted average belief function fusion approach is first proposed as a networked calibration algorithm. To achieve more long-term stable calibration results, the networked calibration problem is further formulated as a partially observed Markov decision process (MDP) problem, and the calibration strategies are derived in a sequential manner. Correspondingly, the deep <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula> -network approach is applied as a computationally efficient method to solve the proposed MDP problem. The performance of practical designs of the proposed self-calibration algorithms is finally illustrated in numerical experiments utilizing real data.

Sistem Keamanan Helm Berbasis Internet of Things dengan Fitur Pelacakan Menggunakan Android

Helmet theft is a problem that is of concern to the public. Information Technology provides may resolve any problems, like Internet of Things-based system that can detect helmet theft and track the location of the helmet if it's stolen. This system is designed using a microcontroller device, namely Arduino which is attached to the helmet and motorbike with the help of the SIM800L v2, GPS Neo-6m, buzzer, and Bluetooth HC-05 which is connected to the master slave as an indicator of the safety of the helmet. The hardware on the helmet is connected to Firebase Realtime Database server so it can be connected with the user's Android application to monitor the state and location of the helmet. Android application displays maps to determine the position of the helmet, and can display notifications when the helmet is being stolen. The conclusion is this system can detect helmet theft with a maximum distance from the master and slave bluetooth connections of 10 meters, and the average data transmission from hardware to Firebase is 1,1 seconds, and can monitor status of the helmet and track the position of the helmet through the Android application with Android Jelly Bean (v4.3) operating system.&#x0D;

CONCEPTION AND APPLICATION OF DEPENDABLE INTERNET OF THINGS BASED SYSTEMS

Context. The problem is in the design, development, maintenance and commisioning of interoperable dependable systems using on the Internet of Things based on von Neumann paradigm of “building reliable systems from unreliable components” for dependable service-oriented systems and infrastructures.Objective. The goals of the paper are in the development of concepts and principles and assessment technologies for creation and maintenance of complex critical systems based on Internet of Things (IoT) as well as implementation of research in various domains.Method. In the paper the concept of development of dependable systems on the basis of the Internet of things is described. The multisectoral analysis of methods and models of reliability and cybersecurity (dependability) evaluation of information and control systems of critical applications using the Internet of things has been performed for different domains: power, healthcare, industrial, etc. The analysis has shown that some software failures and malfunctions, cyberattacks and consequences of influence of attacks are identical for all domains, but there are specific features for each domain, which are necessary to consider at working out of methodology of maintenance of denepdability of reliability of systems of critical applications using the Internet of things.Results. The developed conception, methods, tools and technologies for the creation and implementation of dependable information &amp; control systems for critical applications based on the Internet of Things.Conclusions. The paper proposes a conception that includes a set of scientific and applied tasks for the development of methods, tools and technologies for the creation and implementation of dependable information &amp; analytical and information &amp; control systems for critical applications based on the Internet of Things. The prospects for further research may include the detailing of the developed models, methods and technologies to ensure the dependability of complex information &amp; control systems for critical applications based on the Internet of Things.

Knowledge-based edge computing framework based on CoAP and HTTP for enabling heterogeneous connectivity

Over the last decades, Internet of Things-based applications have become increasingly popular among many researchers and companies in developing a comfortable and safe lifestyle for people. Currently, many Internet of Things-based systems are providing extensive benefits to our daily lifestyle, although low power, failure in connectivity, and lack of computing knowledge are major challenges within heterogeneous devices. As the number of Internet-connected devices exponentially increases, the effectiveness of cloud computing is reaching its limits in terms of scalability and accessibility. The concept of edge computing allows the overload of the cloud to be reduced and provides remarkable advantages for Internet of Things systems. This paper proposes the design and implementation of a knowledge-based edge computing framework for enabling heterogeneous connectivity in Internet of Things networks. EdgeX is used as the edge computing platform, while Hypertext Transfer and Constrained Application Protocols are utilized as communication protocols for the proposed framework. Several experiments have been carried out in order to evaluate the effectiveness of the proposed design and implementation.

A Systematic Review on Software Architectures for IoT Systems and Future Direction to the Adoption of Microservices Architecture

The Internet of Things-based systems and software allow computations anywhere at any time by interconnecting individuals, networks, services, computers and artefacts that allow autonomous systems to form digitized communities. As the blueprint for software-intensive applications, and software architecture that precise the complexity of a network’s planning, development, and changing phases to effectively and efficiently build complex IoT-driven applications. In any case, there exists no comprehensive analysis in the state of the research on the adoption of MSA for IoT systems. This study effort is needed to explore architectural concepts and practices for designing and developing IoT software to excel state-of-the-art for IoTs along with suggestions and recommendations for IoT software to the adoption of MSA to fulfil the identified gaps. A systematic analysis was coordinated, covering up the literature on existing IoT solutions by studying 140 qualitatively selected articles performed between 2005 and Jan 2020. One hundred forty articles were comprised in this SLR. The findings of this study demonstrated different research topics including software architectural styles, patterns, and models to build IoT software. This research presents cloud-based computing environments, autonomous, software-defined networking, and responsive applications, and IoT-driven agent-based systems, (1) thirteen MSA architectural and design patterns for IoTs and classification of patterns, (2) classification of software architectures for IoTs into nine main categories and their sub-categories, (3) twenty-three most investigated IoT challenges, and (4) mapping of IoT challenges with software architectural solutions. The study revealed the innovative work on IoT software architecture and trends that help in the creation and dynamic adaptation of IoT software for reusability, automation and human decision-making. The outputs of this SLR are useful in revealing many recommendations to the software industry, software engineering community, and computer sciences community with over the past 15 years of research into the adoption of MSA. This study reflects a distilled awareness of architectural practices and principles to assist researchers and practitioners in promoting information sharing software architectural roles and responsibilities for the Internet of Things software.

Real-Time and Remote Health Monitoring Internet of Things-based Systems: Digital Therapeutics, Wearable and Implantable Medical Devices, and Body Sensor Networks

Real-Time and Remote Health Monitoring Internet of Things-based Systems: Digital Therapeutics, Wearable and Implantable Medical Devices, and Body Sensor Networks

A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network.

Wireless sensor networks (WSNs) provide noteworthy benefits over traditional approaches for several applications, including smart homes, healthcare, environmental monitoring, and homeland security. WSNs are integrated with the Internet Protocol (IP) to develop the Internet of Things (IoT) for connecting everyday life objects to the internet. Hence, major challenges of WSNs include: (i) how to efficiently utilize small size and low-power nodes to implement security during data transmission among several sensor nodes; (ii) how to resolve security issues associated with the harsh and complex environmental conditions during data transmission over a long coverage range. In this study, a secure IoT-based smart home automation system was developed. To facilitate energy-efficient data encryption, a method namely Triangle Based Security Algorithm (TBSA) based on efficient key generation mechanism was proposed. The proposed TBSA in integration of the low power Wi-Fi were included in WSNs with the Internet to develop a novel IoT-based smart home which could provide secure data transmission among several associated sensor nodes in the network over a long converge range. The developed IoT based system has outstanding performance by fulfilling all the necessary security requirements. The experimental results showed that the proposed TBSA algorithm consumed less energy in comparison with some existing methods.

Enhancing Safety in Water Transport System Based on Internet of Things for Developing Countries

Accidents in inland waterways in developing countries are a regular phenomenon throughout the year causing deaths, injuries, monetary loss, and a significant amount of missing people. In consequence, a lot of families are losing their dear ones leading to much misery. The above context demands an intelligent, safe, and reliable water transport system for the developing countries. The concept of Intelligent Transport System (ITS) can be applied to develop such system; however, there are issues with ITS and Internet of Things (IoT) unlocks a new way of developing it. This paper proposes a model to transform the water transport system into an intelligent system based on IoT. IPv6 based machine-to-machine (M2M) protocol, 3G telecommunication technology, and IEEE 802.15.4 network standard play a significant role in this proposed IoT based system.