IoT Control Research Articles

Neural Network based Active Cooling System with IoT Monitoring and Control for LCPV Silicon Solar Cells

Neural Network based Active Cooling System with IoT Monitoring and Control for LCPV Silicon Solar Cells

Design and Implementation of an IoT Control and Monitoring System for the Optimization of Shrimp Pools using LoRa Technology

Design and Implementation of an IoT Control and Monitoring System for the Optimization of Shrimp Pools using LoRa Technology

Retraction Note: Complex IoT Control System Modeling from Perspectives of Environment Perception and Information Security

Retraction Note: Complex IoT Control System Modeling from Perspectives of Environment Perception and Information Security

A flexible continuous-wave quantum cryptography scheme with zero-trust security for Internet of Things

As quantum computing techniques develop rapidly, the security of classical communication, which is usually based on public key encryption algorithm, is under great threat. Therefore, a key establishment method with physics base is demanding, especially for Internet of Things devices, where energy and computational power is quite limited. In this article, we present a flexible continuous-wave quantum cryptography scheme for Internet of Things systems. In this configuration, the IoT controller contains a narrow linewidth laser as a real local oscillator. Thus, it is capable of working as either a host or a client in quantum key distribution with remote servers, and efficiently generating quantum random numbers for quantum key distribution, as well as one time pad communication with deployed sensors. The security of the scheme is analyzed under the assumption of collective attacks in the asymptotic regime, and feasibility is theoretically verified with typical channel and commercial device parameters.

A novel conductive sensor-based test method to measure longitudinal wicking of fabrics

This paper reports the development of novel vertical wicking instrument which is specially designed to measure the wicking behavior of textile fabrics precisely. The instrument is designed using T-shaped test frame fabricated with tribo-electric fibre glass and electrical conductivity sensors. The developed electrical conductive sensors are capable to measure the time taken for the vertical wicking of water through inter-fibre capillaries with respect to height. The wet fabric allows the electrical current flow between two conductive points of sensor and enables the IoT controller circuit to monitor the time taken for wicking. To improve the accuracy of measuring the wicking behavior, tribo-electric fibre glass is used. The tribo electric fibre glass has electrostatic charges on its surface and induces static cling effect. Static cling is the tendency of light objects such as fabrics to stick (cling) to other objects owing to static electricity. The static cling effect attracts the fabric test sample to make it in contact with conductivity sensor array. The wicking process is carried out without causing obstruction to the movement of water through inter-fibre capillaries. The accuracy of the measured data obtained from the novel instrument is compared with the data of manual standard test procedure (R2> 0.97). The comparison shows that the developed instrument produces more reliable results.

뇌병변장애인의 AI 스피커 명령어 요구조사

Background and Objective: The purpose of this study was to investigate the adequacy and content validity of the categories of AI speaker commands applicable to the development of the AAC system. In order to meet our objectives, a Delphi survey was conducted for parents of individuals with brain lesion and nonverbal communication disorders. Method: Eleven parents of children with brain lesion disorder participated in the study. Two rounds of a Delphi Survey was conducted in eight categories of AI speaker commands: Music, media, daily life, schedule, search, transportation, home IoT control, and game. Mean, stability, agreement, convergence, and content validity were analyzed. Results: It was found that the demand for AI speaker commands required for home IoT control was high, and the selection of AI speaker commands in the music, daily life, schedule, search, transportation, home IoT control, and game categories were validated. Conclusion: This study explored the demands of AI speaker commands necessary for the daily life of people with brain lesion. These commands can be used in AAC device development for AAC users. It can also be used as basic data to increase the usability of the AI s peaker.

Implementation of PID controller for liquid level system using mGWO and integration of IoT application

Industrial automation is a multi-disciplinary study field that is constantly evolving. This research proposes IoT-based real-time liquid level monitoring and control in a single tank system. A PID controller with parameters sets using a novel modified Grey Wolf Optimization (mGWO) algorithm is used to manage the liquid level. The PID controller was then built on the ESP32 microcontroller module, and an android-based application was created utilizing the Blynk platform for IoT plant monitoring and control. The mGWO algorithm is used in MATLAB to optimize the Kp, Ki, and Kd values of PID controller parameters. The Arduino IDE is used to create the microcontroller programing as well as the interface for the Android application to the ESP32 microcontroller module. The results reveal that a single tank liquid level control system based on mGWO outperforms Ziegler–Nichols and SIMC tuning approaches. Furthermore, the adoption of an IoT application-based user interface boosts the plant’s control and monitoring flexibility.

Corrigendum: Day-Ahead Economic Dispatch of AC/DC Hybrid Distribution Network Based on Cell-Distributed Management Mode

Wei Wei, Tonglin Hao, Tao XuKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, China* Correspondence: taoxu2011@tju.edu.cnKeywords: AC/DC hybrid distribution network, cell-distributed management mode, alternating direction method of multipliers, data-driven distributionally robust optimization, day-ahead economic dispatchCorrigendum on: Wei W, Hao T and Xu T (2022) Day-Ahead Economic Dispatch of AC/DC Hybrid Distribution Network Based on Cell-Distributed Management Mode. Front. Energy Res. 10:832243. doi: 10.3389/fenrg.2022.832243Incorrect Funder NameThere is an error in the Funding statement. The correct Name for the Funder is **National Key Research and Development Program of China**. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.The correct funding:This paper is supported by the National Key Research and Development Program of China( 2020YFB2104500): Research and application demonstration project of the urban integrated energy system with intelligent IoT control technology.

IOT IMPLEMENTATION FOR CALCULATING POWER CONSUMPTION BASED ON ANDROID

Electrical power consumption monitoring, mainly at business properties in urban areas that have one line power supply distribution at many area rent, had the problem of the bill electric consumption on the tenant. The places like dormitories, food court, futsal field, pets day care etc. had problems, where the node had more electrical consumption operationally, so we implemented IoT monitoring and control at electrical device and electrical consumption report. The method to implement this system is using IoT protocol communication and firebase cloud data as a third party database application that is accessed by an android mobile phone. The systems of our research is infrastructure IoT mobile communication that can be controlled and adjusted by firebase cloud and can activate the device by MCU microcontroller ESP wifi that Based to monitor and record activity that had controlled by mobile phone. All data activity has to be processed and saved to the firebase data cloud, so the system depends on internet communication and an active firebase server. So the result of our research is to report activity and bill of electrical consumption every node that had rented.

Development of Ankle-Foot Orthosis with the Integration of IoT Controller

— Immobilisation in bed for an extended period can cause the patient to experience complications such as muscle atrophy and muscle shortness. Ankle foot orthosis, AFO application can assist the bedridden patient in keeping their calf muscle active. However, the existing AFO used for the bedridden patient is fixed. In contrast, another AFO is only used for assisting the patient to walk. Thus, this project aims to design a customized adjustable AFO for the bedridden patient, analyze the strength of the AFO with different parameters, and fabricate using 3D printing technology to integrate remote control. The project begins with the problem identification, concept generation and selection, preliminary design using CAD software, conducting finite element analysis (FEA) by identifying the effect of using different materials, different thicknesses, and different load applies. Finally, the fabrication of AFO used 3D printing technology with PLA materials, and the integration of remote control was installed. Keywords— Bedridden; Bed-resting; Ankle foot orthosis; 3D printing; IoT controller

Autonomic management of group communication for Internet of Things applications

SummaryDense Internet of Things (DIoT) is fazed by message loss, congestion, and energy consumption, due to a large number of connected devices. One of the main challenges in DIoT environments is to achieve self‐adaptable communication without human intervention, where the system is able to dynamically manage its own settings to mitigate common problems. Seeking to promote self‐adaptability in DIoT, this paper presents the Autonomic management of GRoup communication for intErnEt of thiNgs applications (AGREEN). It is an autonomous solution for IoT platforms that configures the communication settings to ensure the dynamic control of IoT devices considering a comprehensive set of aspects, such as traffic loss, sensing relevance, amount of energy harvested, and the number of monitoring nodes with renewable and non‐renewable energy. Extensive evaluation results show that AGREEN is able to autonomously change the number of nodes in the monitoring group and to improve system performance in terms of message loss, energy consumption, and communication interval compared to standard protocols designed for IoT.

Research on Arduino Control System Design of Tencent QQ Software

Tencent’s related products occupy the first place in the domestic social software market. This paper explores the Internet of things control method by using Tencent QQ (hereinafter referred to as QQ) application, with the purpose of realizing an IOT system controlled by social chat software. The research finds that: taking user QQ as the instruction sending end, cqhttp as the message transmission center, through the information processing program, instruction judgment program, DSL parsing engine, command transmission program and execution program, and finally through Arduino control electronic components to make relevant actions. A social software IOT control system with simple control mode, flexible design, fast expansion, fast response, good fault tolerance and high security is realized. The implementation of the system can be used as a reference for relevant fans to realize the IOT control system with various IM software.

Network Traffic Prediction Incorporating Prior Knowledge for an Intelligent Network.

Network traffic prediction is an important tool for the management and control of IoT, and timely and accurate traffic prediction models play a crucial role in improving the IoT service quality. The degree of burstiness in intelligent network traffic is high, which creates problems for prediction. To address the problem faced by traditional statistical models, which cannot effectively extract traffic features when dealing with inadequate sample data, in addition to the poor interpretability of deep models, this paper proposes a prediction model (fusion prior knowledge network) that incorporates prior knowledge into the neural network training process. The model takes the self-similarity of network traffic as a priori knowledge, incorporates it into the gating mechanism of the long short-term memory neural network, and combines a one-dimensional convolutional neural network with an attention mechanism to extract the temporal features of the traffic sequence. The experiments show that the model can better recover the characteristics of the original data. Compared with the traditional prediction model, the proposed model can better describe the trend of network traffic. In addition, the model produces an interpretable prediction result with an absolute correction factor of 76.4%, which is at least 10% better than the traditional statistical model.

Economic Impact of Temperature Control during Food Transportation-A COVID-19 Perspective.

Temperature fluctuation and abuse in the food cold chain (FCC) is becoming an increasingly crucial factor in the process of food production and for the logistic business, especially in COVID-19 pandemic. The quality of perishable food products depends largely on accurate transport and maintenance temperature. The evidence for temperature-related food waste and loss is extensive. The research problem is thus: how to decrease and control food losses caused by temperature abuse in the FCC and restrictions due to the COVID-19 pandemic. The primary objective is to propose a framework for real-time temperature measurement protocols supported by passive RFID, IoT and Statistical Process Control (SPC) charts. This method allows not only the signaling of temperature abuse alerts but, in addition to hitherto methods, investigation and mitigation of the causes of process instability of individual FCC links in the future. The secondary objective is to delineate the necessary data sources and ways of their collection and utilization in order to decrease food losses and waste via process stabilization of temperature in transport and storage. As contribution to current literature and practice, we offer an in-depth analysis of threats in the FCC in food transport and storage infrastructure and a solution supplemented by SPC charts and tested in controlled experiments that is practicable from economic and technical standpoints.

Sensitivity Analysis for Vulnerability Mitigation in Hybrid Networks

The development of cyber-assured systems is a challenging task, particularly due to the cost and complexities associated with the modern hybrid networks architectures, as well as the recent advancements in cloud computing. For this reason, the early detection of vulnerabilities and threat strategies are vital for minimising the risks for enterprise networks configured with a variety of node types, which are called hybrid networks. Existing vulnerability assessment techniques are unable to exhaustively analyse all vulnerabilities in modern dynamic IT networks, which utilise a wide range of IoT and industrial control devices (ICS). This could lead to having a less optimal risk evaluation. In this paper, we present a novel framework to analyse the mitigation strategies for a variety of nodes, including traditional IT systems and their dependability on IoT devices, as well as industrial control systems. The framework adopts avoid, reduce, and manage as its core principles in characterising mitigation strategies. Our results confirmed the effectiveness of our mitigation strategy framework, which took node types, their criticality, and the network topology into account. Our results showed that our proposed framework was highly effective at reducing the risks in dynamic and resource constraint environments, in contrast to the existing techniques in the literature.

Implementation of Installation Two-way DC-DC Converter with IoT Control and Monitoring

Renewable energy generation, such as solar energy, produces electrical energy with fluctuating voltages. Light intensity is one of the causes of this fluctuating voltage. The resulting voltage is directly proportional to the intensity of the light. It is necessary to implement a converter system to increase efficiency in the solar panel system. The converter with an insert buck-boost topology is designed to regulate the direction of power in and out of the battery. Setting the direction of the flow of power is considered important in order to increase the efficiency of the solar panel system. This research focuses on the design and implementation of the Online Insertion TwoWay DC-DC Converter. The converter functions to connect the storage media and the DC Bus and smoothes the output current with a phase shift of the PWM signal by 180°. The phase shift feature is set using the ATMEGA328P minimum system. In addition to functioning as a buck (charging) and boost (discharging) battery, there is also an online monitoring function. The online monitoring feature is designed to display the DC Bus voltage value and battery voltage, while the online controlling feature allows users to manually change the converter mode from buck to boost or vice versa. The test results show that the Insertion Bidirectional DC-DC Converter can produce a stable voltage according to the given duty cycle. The average efficiency is 88% for buck mode and 92% for boost mode. In the blynk application, it can display the DC Bus voltage and battery voltage and the user can change the converter mode manually.

Cyber-physical system for intelligent control of infrared heating

Cyber-physical systems are widely used in energy systems, industry, and the economy. This type of systems allows intelligent resource management of systems of this class, in order to optimize pre-selected processes. This study presents a cyber-physical system for smart infrared heating control. The system is based on the following technologies: Lora, IoT, and fuzzy control. The structure of the cyber system is presented in details. Then the functionality of the developed system is presented and its advantages and application in production, industry, and economy are shown. The results of the study show that the developed cyber-physical system reduces electricity consumption and provides optimal working conditions. The system also allows expansion and application for multiple rooms, thanks to its architecture and applied technologies.

Tracking of the battery materials of electric vehicles in the mining industry via a blockchain

In the time of Industry 4.0, with the requirements for reducing CO2 in the atmosphere and realizing a circular economy in all aspects of life, the implementation of electric vehicles and IoT control systems was observed. The advantages and positive effects of implementing electric vehicles in the mining industry are discussed in the article. To achieve a circular economy and meet the criteria for sustainable development, a conceptual model is proposed for tracking the quantities of useful raw materials used in power batteries, as one of the main components of electric vehicles. To implement reliable and unambiguous communication among the various participants, blockchain technology is used.

Prototype Monitoring of IoT-based Laboratory Firefighting System

The problem in this study is the absence of automatic firefighters that helps performance on 24-hour safeguards so that it is very susceptible to a short circuit or electrical relations that lead to fires that cause enormous losses both material and immaterial. This research uses the prototype method. The results showed that the planning of making hardware and software regarding planning fire extinguishers using the Arduino Uno board and a fire sensor or flame sensor and a gas sensor or MQ2 Sensor as a foundation where the hardware can be input on the Arduino IDE software and connected to WiFi ESP2866 as a IoT controller and control the room in 24 hours because this tool has a buzzer so that if there is a fire and smoke detected can turn on the sensor and the arm arises, the warning will be a fire hazard.

스마트 야드의 모니터링과 제어를 위한 IoT 시스템 구축

With the development of ICT, IoT systems are being introduced in many industrial fields including smart factories. However, in the shipyard workshop, the introduction of the IoT system is still relatively inadequate. In this paper, we describe the experience of introducing IoT monitoring and control systems in ship launching workshops. First, it shows how IoT technology has been used for efficient and safe management of joint launching dock. This includes worker safety and manpower management, monitoring the use of resources in the workplace, and monitoring the status of the floating dock. Second, technical issues required for the implementation of the above issues will be described in detail. The implementation of efficient wireless communication, such as recognition of entry and exit of a worker using a Bluetooth beacon, and multiple communication between a plurality of Bluetooth or LoRa, and its operation algorithm are dealt with. As described above, through the introduction of IoT technology, it has been demonstrated that improvement in safe and efficient operation of the shipbuilding field is possible.