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Design and Implementation of Full Adder Circuit Based on Memristor

Design and Implementation of Full Adder Circuit Based on Mem...

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international conference on Wireless Communications, Networking and Applications, WCNA 2021

作者： Tang, Ning Wang, Lei Xia, Tian Wu, Weidong NARI Group Corporation / State Grid Electric Power Research Institute Nanjing211106 China Nanjing University of Aeronautics and Astronautics Nanjing210000 China North Information Control Institute Group Co. Ltd. Nanjing211153 China

ISBN: (纸本)9789811924552

In order to break through the traditional von Neumann architecture of computing and memory cell separation and speed up the computing speed, it is necessary to realize in memory computing, and memristor is an excellent carrier to realize in memory computing. Then, the development, principle, characteristics and application prospect of memristor are briefly introduced, and the characteristic curve of memristor is obtained by simulating the model of memristor. The principle and characteristics of memristor are explained more intuitively. Then, based on the memory resistor, the simple logic circuit design principle is described. The logic structure can be realized by using the memory resistor as the calculation element and adding a CMOS inverter, so as to realize the simple logic circuit. The paper designs the simple logic circuit including gate, gate, or gate by spice software, and simulates the circuit of gate, gate, gate, or gate. Then, based on the above logic gate, the circuit design of adder is carried out, the circuit diagram and design scheme are given, and the simple description and SPICE simulation are given. The design scheme is reviewed and summarized, its advantages and disadvantages are analyzed, and the optimization and improvement scheme is proposed. © 2022, The Author(s).

关键词： Memristors

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Integration and refinement of electrical power acquisition and marketing based on the Internet of Things

Integration and refinement of Electrical power acquisition a...

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Emerging Research in Computational science (ICERCS), international conference on

作者： Ragheed Hussam Mohammed Ayad Alkhafaji Sura Rahim Alatba Kadum Mohammed Hussain Ajeel Allami Mustafa Al-Tahee Medical Instruments Engineering Techniques Al-Farahidi University Baghdad Iraq Department of Medical Devices Engineering Technologies National University of Science and Technology Dhi Qar Nasiriyah Iraq Computer Technologies Engineering Al-Turath University College Baghdad Iraq Department of Computer Engineering Technologies Al-Kitab University Kirkuk Iraq

In this age of rapid economic expansion and pervasive intelligence, intelligence collection regarding a country's energy grid is encouraged. The article proposes a system for gathering IoT device energy consumption data. Through investigating Power IoT and its connection to the Smart Grid, a data gathering system has three parts: smart metering, concentrators, and data management systems. The paper explains how the authors streamlined business processes by integrating the control terminal with the technical architecture and IT technologies underlying a cutting-edge cloud-based customer electrical power acquisition (EPA) construction. electrical power acquisition and marketing based on the Internet of Things (EPAM-IoT) proposes a method to alleviate the major data center's processing, storage, and handling of massive amounts of data by leveraging the Internet of Things (IoT). By optimizing the local processing of information and timely data management, this architecture can assist in lightening the data transfer burden over the channel. The proposed approach takes into account multiple factors while determining performance. IoT application energy efficiency can be improved using the GA method. The outcomes were achieved via the C++ programming methodology. The simulations show that the proposed EPAM-IoT system, which consists of an IoT module, a cloud computing model, and improved learning performance, outperforms the state-of-the-art methods.

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Robust PID tuning of AVR system based on Indirect Design Approach-2

Robust PID tuning of AVR system based on Indirect Design App...

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international conference on System science and engineering (ICSSE)

作者： Mohd Ashraf Ahmad Mohd Zaidi Mohd Tumari Mohd Riduwan Ghazali Mohd Helmi Suid Julakha Jahan Jui Centre for Advanced Industrial Technology University Malaysia Pahang Al-Sultan Abdullah Pekan Malaysia Faculty of Electrical and Electronics Engineering Technology Universiti Teknikal Malaysia Melaka Malaysia Faculty of Electrical and Electronics Engineering Technology University Malaysia Pahang Al-Sultan Abdullah Pekan Malaysia

The automatic Voltage Regulator (AVR) has been developed with the automated purpose of maintaining voltage stability for synchronous generators. This structure is often controlled by installation of the Proportional-Integral-Derivative (PID) controller. Contemporary heuristic approaches further inspired scholastic pursuits which advocate numerous innovative PID-based optimization techniques. Nevertheless, offsetting of such benefits and precision on disproportionate theoretical outcome by existence of modelling errors and uncertainties has necessitated continuous effort in tuning the PID controller. Considering possible jeopardizing of operational effectiveness and consistency through manualized optimization of controller’s parameters, the current study essentially secured the effectiveness of a PID-controlled AVR system through online tuning. The adopted indirect design technique emphasized exclusive optimization of frequency shift constant of a formerly optimized PID controller as employed within an AVR structure. Enhancement of control efficacy and operation is achievable through revised parameters in the earlier PID controller from an updated frequency shifted constant. Compatibility of the introduced optimization mechanism was contrasted against parameters of the formerly optimized PID controller on the account of maximum sensitivity, gain and phase margins. Conducted simulations demonstrate substantial enhancement in performance of AVR structure with PID con-troller through parametric refining of the introduced mechanism.

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Adaptive System for Human Scenario Forecasting in Intelligent Homes

Adaptive System for Human Scenario Forecasting in Intelligen...

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Communication, computing and Energy Efficient Technologies (I3CEET), international conference on

作者： P. Kalyani K. V. Prashanth R. Manivannan Raksha Puthran Shruti Jalapur Dhananjaya Babu K AI&ML Department Sree Venkateswara College of Engineering Nellore Andhra Pradesh India Department of Electronics & Communication Engineering Koneru Lakshmaiah Education Foundation Hyderabad Telangana India Department of Computer Science and Engineering School of Computing Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology(Deemed to be University) Chennai India Department of MCA NMAM Institute of Technology NITTE (Deemed to be University) Udupi India Department of Computer Science and Engineering Christ University Bangalore India Department of Electrical and Electronics Engineering Annamacharya University Rajampet Andhra Pradesh India

ISBN: (数字)9798331541583

ISBN: (纸本)9798331541590

Due to the rise in energy usage in recent years, there has been a worldwide push to reduce energy use, particularly in the housing sector. When the concept of a "smart house" first emerged, it brought together automation and control via communication network technologies, as well as warmth from many heat source mechanisms and the terminology "process controllers" stated earlier. The Internet of Things, or IoT, is a multibillion dollar industry that shows how overlapping technologies span industries. It does this by utilizing the internet as an objective standard for sharing information that IoT services manage, supervise, or *** home automation systems, big data, and machine learning, together with the Internet of Things, to increase energy efficiency is another exciting topic. This article introduces HEMS-IoT, a comprehensive energy management system designed for the modern home. It leverages big data and machine learning to provide security and convenience in a comprehensive, eco-efficient setting. Weka API and the J48 neural network technology were used to extract user behavior and energy consumption trends. This approach was used to categorize loads depending on *** Mahout with Rule-based language (RuleML) in a smart house for user comfort and security This is because these technologies are able to predict what consumers would require for energy action and supply it during this consultation because to the aggregation of user preferences. XtraPrinting As they demonstrated how they would monitor the instance, the article offers an experimental way for monitoring intelligent buildings for comfort and safety with the least amount of energy use. Therefore, their approach, which explains the demonstration success rate, is responsible for the test’s high performance.

关键词： Industries Energy consumption Machine learning Big Data Energy efficiency Safety Behavioral sciences Internet of Things Security Monitoring

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Recent Technological Advances in Solar Photovoltaic System and Its Applications in Building Integrated Photovoltaic System

Recent Technological Advances in Solar Photovoltaic System a...

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international conference on Sustainable Technology and Advanced computing in electrical engineering, ICSTACE 2021

作者： Islam, Noorul Nat, Aslam Khan, Rashid Ahmed Department of Electrical Engineering ZH College of Engineering and Technology Aligarh Muslim University Aligarh202002 India Department of Computer Control and Management Engineering Sapienza University of Rome Rome00185 Italy Department of Electrical Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan

ISBN: (纸本)9789811943638

Energy has become an integral part of our life. The fossil fuel present in the environment is very much limited. On the other hand, fossil fuel emits harmful gases such as carbon dioxide, Chlorofluorocarbon (CFC), carbon monoxide, and others which harmed flora and fauna. Therefore, the concern for renewable energy application has become more vital due to the depletion of fossil fuels, rising global warming, and increased consumption of energy. Renewable energy aims to reduce pollution levels, enhancing the local economy and community sustainability. Solar energy is the most promising alternative energy source since it has various advantages over other renewable energy sources. The sun is an unquenchable source of energy capable of addressing all energy requirements of humankind. The solar energy concept has been around for a long time, and technological advancements will make it endure for a longer period. The PV-Effect is a mechanism that can produce an electric current when sunlight strikes the limiting layer of semiconductor materials. A photovoltaic (PV) system is a semiconductor device that produces electricity when exposed to luminosity. A PV module is made up of several solar cells that are coupled in parallel and series. This paper provides an extensive study of advancements in energy extraction techniques from a solar panel, analysing solar PV systems under diverse circumstances. PV technology is hastily evolving compared to alternative renewables, consequently leading to the Building Integrated Photovoltaics (BIPV) systems playing a significant role in the generation of electrical energy. BIPV system is a preferred choice as a building integrated solar energy storage system. It has been categorised into three subparts: Grid-connected BIPV system, BIPV system with a solar battery, and PV-Trombe wall. The BIPV mechanism simultaneously acts as a material for the envelope of the building and power extraction from. © 2022, The Author(s), under exclusive license

关键词： Fossil fuels

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A Comparative Study for Predicting Burned Areas of a Forest Fire Using Soft computing Techniques 2nd

A Comparative Study for Predicting Burned Areas of a Forest ...

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2nd international conference on Data science, Machine Learning and Applications, ICDSMLA 2020

作者： Al-Shourbaji, Ibrahim Alhameed, Mohammed Katrawi, Anwer Jeribi, Fathe Alim, Sophia Department of Computer and Network Engineering Computer Science and Information Technology College Jazan University Jazan82822-6649 Saudi Arabia Department of Computer Science Computer Science and Information Technology College Jazan University Jazan82822-6649 Saudi Arabia Faculty Member Academic Development Deanship Jazan University Jazan82822-6649 Saudi Arabia Department of Information Technology and Security Computer Science and Information Technology College Jazan University Jazan82822-6649 Saudi Arabia Independent Researcher Bradford United Kingdom

ISBN: (纸本)9789811636899

Forest fires is an important environmental disasters that have many consequences in our life. As a result, early forecasting and rapid action of fires are needed to control such a phenomenon and saving lives. In this paper, Montesinho Natural Park (MNP) dataset is used to determine the burned areas of a forest fire, three prediction techniques were analyzed;namely Classification and Regression Tree (CART), Multivariate Adaptive Regression Splines (MARS) and Artificial Neural Network (ANN). These algorithms are implemented to specify the technique that would provide best prediction results. The performance of these algorithms was assessed based on three statistical measures, the Mean Absolute Error (MAE), the Mean Squared Error (MSE) and the Root Mean Squared Error (RMSE). From the Statistical measures, it is inferred that MARS algorithm provides the best results in term of performance compared with other methods. The obtained results confirm that MARS improves the forecasting accuracy and has the capability to forecast forest fires effectively with a comparable computational cost. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Forecasting

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Intelligent Inspection Car in Factory Equipment Environment

Intelligent Inspection Car in Factory Equipment Environment

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electrical, Automation and Computer engineering (ICEACE), international conference on

作者： Mingyue Li Jianrong Li Yangde Lin Danyang Yin Jinning Zhang Jingyi Xie Jiaqi Cheng Tianjin University of Science and Technology Tianjin China

With the rapid development of industrial automation technology, the demand for intelligent detection systems is rising. Intelligent inspection system is widely used in the design, production, maintenance and other stages of all kinds of products, but also used in the factory production environment, workshop staff dangerous behavior monitoring and other fields, to improve product performance and productivity, reduce production costs and the entire production cycle cost plays an important role. For different working environments, the team has developed and designed three series of intelligent inspection cars, namely automatic inspection car, manual inspection car and small anti-accident car, to provide a full range of monitoring and management service functions for industrial production enterprises, logistics enterprises, medical institutions, government agencies and educational institutions. The car will be designed based on software such as YOLO and SSD algorithm, and equipped with various sensor hardware. With the help of jeston nano 4GB development board, Internet of Things technology and deep learning object detection algorithm, the car will automatically operate or carry out intelligent detection of road conditions and factory machine operation status through user handle or computer control. The abnormal situation will be alerted and recorded, and transmitted back to the computer in real time to achieve remote monitoring of road conditions, the use of factory machinery and equipment and the status.

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Intelligent Power control Models for the IOT Wearable Devices in BAN Networks

Intelligent Power Control Models for the IOT Wearable Device...

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Intelligent and Innovative Technologies in computing, electrical and Electronics (IITCEE), international conference

作者： Arul P M. Meenakumari Saravanan. L Revathi N S Jayaprakash Subbiah Murugan Department of Electronics and Communications Engineering R.M.D Engineering College Chennai Tamil Nadu India Department of Electronics And Communications Engineering Sri Ranganathar Institute of Engineering and Technology Coimbatore Tamil Nadu India Department of Electronics and Communication Engineering Rajalakshmi Institute of Technology Chennai Tamil Nadu India Department of Electronics and Communication Engineering Panimalar Institute of Technology Chennai Tamil Nadu India School of Electrical and Electronics Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India Research & Development Division Vee Eee Technologies Solution Pvt Ltd Chennai Tamil Nadu India

The Internet of Things (IoT) is another useful perspective that brings questions from different disciplines together over the Internet. As more wearable technologies become available on the market, teleworking in Wearable Wireless Body Area Networks (WBAN) is becoming more widespread for Internet of Things-related medical applications. This article proposes a solar-powered wearable touch sensor based on a complete social network (SPWT) and Wi-Fi transmission that connects to a WBAN. Different focal points of the sensor network can be assigned to different points in the frame to determine a person's core temperature and heart rate and understand falls. Software for mobile phones and smartphones that displays sensor data and alerts of falls has also been developed. This software includes a web interface. To increase the service life of the central part of the wearable sensor, the pressure in the middle part mainly uses a full-strength flexible solar-oriented sensor with the result based on superior technology like Maximum power point tracking (MPPT). Preliminary results show that the average element of the wearable sensor performs well, although limited by a fully controlled daylight-based power source. The button-less 24-hour movement is incubated with an initial effect. The proposed local energy storage-based photovoltaic device suggests that WBAN-based long-term continuous medical surveillance is possible because the situation is away from home for a short time per day.

关键词： Wireless communication Maximum power point trackers Temperature sensors Heart rate Wireless sensor networks Body area networks Software

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Deep Reinforcement Learning for IoT-Based Smart Traffic Management Systems

Deep Reinforcement Learning for IoT-Based Smart Traffic Mana...

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international conference on Contemporary computing and Informatics (IC3I)

作者： Vipashi Kansal Ammar Hameed Shnain A. Deepak Aditya Rana Manjunatha Krishna Kant Dixit K. Varada Rajkumar Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Department of computers Techniques engineering College of technical engineering The Islamic university Najaf Iraq Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu Independent Researcher Uttar Pradesh India Department of Mechanical Engineering New Horizon College of Engineering Bangalore Department of Electrical Engineering GLA University Mathura India Department of CSE-AI&ML MLR Institute of Technology Hyderabad Telangana

ISBN: (数字)9798350350067

ISBN: (纸本)9798350350074

The increasing complexity of urban traffic networks demands more intelligent and adaptive solutions for traffic management. This paper presents a novel approach utilizing Deep Reinforcement Learning (DRL) in conjunction with Internet of Things (IoT) technology to develop a smart traffic management system aimed at optimizing traffic flow in real-time. IoT devices, including sensors, cameras, and connected vehicles, provide comprehensive, high-resolution traffic data, which is processed by a DRL-based algorithm to dynamically control traffic signals and manage congestion. The proposed system continuously learns from evolving traffic patterns, adapting its decision-making to optimize key metrics such as vehicle throughput, travel time, and energy consumption. Compared to traditional traffic management systems, the DRL-based approach exhibits superior performance in handling dynamic traffic environments, reducing bottlenecks, and minimizing delays. Extensive simulations demonstrate that the integration of DRL with IoT enhances the system’s ability to manage complex, real-world traffic scenarios more efficiently. This research contributes to the growing body of work in smart city development, offering an innovative framework for the deployment of intelligent traffic management systems. The study highlights the potential of DRL and IoT technologies to transform traffic management, promoting sustainable urban mobility and improving overall traffic efficiency..

关键词： Measurement Smart cities Scalability Traffic control Deep reinforcement learning Throughput Real-time systems Internet of Things Fuels Vehicle dynamics

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Predictive Voltage control for Direct Matrix Converter fed System without Load Side Modeling 6

Predictive Voltage Control for Direct Matrix Converter fed S...

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6th IEEE international conference on computing, Communication and Automation, ICCCA 2021

作者： Qazi, Sohaib Mir, Tabish Nazir Bhat, Abdul Hamid Singh, Bhim Tricoli, Pietro Mathematics and Computer Science University of Twente Faculty of Electrical Engineering Enschede Netherlands Birmingham Centre for Railway Research and Education University of Birmingham Edgbaston United Kingdom National Institute of Technology Department of Electrical Engineering Jammu and Kashmir Srinagar India Indian Institute of Technology Delhi Department of Electrical Engineering New Delhi India

ISBN: (纸本)9781665414739

Predictive control techniques have substantially alleviated the complexity of controlling direct matrix converters. However, inaccurate knowledge of the system model parameters can lead to poor converter performance especially when the source or load side parameters are susceptible to variation. This paper presents a method to address these issues in the form of a predictive voltage control strategy that enables usage of the converter for generic applications, wherein the nature of load is unknown and a mismatch in source side model is corrected using an appropriate reference current generation scheme. Moreover, due to lack of intermediate energy storage elements in a matrix converter, any disturbance occurring on the supply side is reflected at the load side terminals. The performance of the system is investigated under such conditions to validate robustness of the proposed method. Further, the simultaneous control of the input and output stages is carried out while controlling the switching frequency in the system and a strategic cost function formulation is adopted to optimally control multiple objectives. Simulation results to illustrate the effectiveness of the paper are presented in detail. © 2021 IEEE.

关键词： Matrix converters

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