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A Wearable Multipurpose Toxic Gas-Monitoring Device for Industrial applications 19

A Wearable Multipurpose Toxic Gas-Monitoring Device for Indu...

引用

ieee 19th International conference on Body Sensor Networks (ieee BSN)

作者： Tahir, Muhammad Nabeel Falana, David Daniel, Kamsiyochukwu O. Arevalo, David Guanipatin, Jose Hassan, Umer Rutgers State Univ Dept Elect Engn Piscataway NJ 08901 USA

ISBN: (纸本)9798350338416

A constant threat of exposure to toxic industrial gases poses a critical concern for the safety of industrial workers. The existing commercially available gas sensing and monitoring platforms are limited in their abilities to monitor the potential leakages over a wide area and range of toxic gases. The latest advancements in technology have given birth to wearable sensing platforms that can be employed to monitor various physiological and environmental parameters. The use of these wearable devices has been constantly explored for monitoring and detection of toxic gases in the surrounding environment of a user. Unlike, traditional platforms wearable devices provide flexible, portable, and efficient solutions to the problems faced by workers in industries like mining and oil and gas. Current state-of-the-art wearable toxic gas monitoring solutions target a specific type of toxic gas and provide either an expensive or an uncomfortable device for the industrial worker. Also, these devices fail to provide useful information regarding the current health of the user. In this study, a multipurpose toxic gas sensing device has been presented along with the features of physiological signal measurement of the industrial worker. To broaden the scope of the device multiple metal oxide-based gas sensors were integrated and a custom-designed graphical user interface was designed to provide control and safety notifications to the user. Finally, a wireless connection to a custom-designed mobile application lets users analyze and report the data collected from the developed platform. Following the set of features introduced in the device, it can be used in any industrial setting as personal protective equipment to ensure the safety of the workers.

关键词： Toxic gases metal oxide sensors temperature and humidity wireless wearable

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Key Technologies and applications for Intelligent control of Power 5G Virtual Private Network 10

Key Technologies and Applications for Intelligent Control of...

引用

10th ieee Joint International Information technology and Artificial Intelligence conference, ITAIC 2022

作者： Guo, Xuerang Yin, Jun Li, Yaping Zhang, Zhijun Xie, Peng Li, Yue State Grid Xinjiang Electric Power Research Institute Information and Communication Technology Center Urumqi China Electric Power Control Center State Grid Xinjiang Electric Power Company Urumqi China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

With the continuous promotion of 5G technology application in the electric power industry, how to realize the viewable, manageable and controllable power 5G virtual private network becomes an urgent problem to be solved. This paper starts from the self-management demand of the electric power industry for the operator's 5G power virtual private network, conducts a comprehensive research and analysis in key technologies and platform design, and proposes the construction architecture and functional modules of the power 5G virtual private network management platform, which helps to enhance the efficient management of the power 5G virtual private network and also helps to improve the digital level of the enterprise. © 2022 ieee.

关键词： Power control

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ANFIS MPPT Assisted PV Fed DC-DC Switched Z Source Converter for Microgrid applications 7

ANFIS MPPT Assisted PV Fed DC-DC Switched Z Source Converter...

引用

7th International conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Karthika Preethy, V.P. Tharwin Kumar, R. Radhika, P. Nagarajan, Ananthan Mohamed Faizal, A.A. Sasikumar, M. Amrita College of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu Nagercoil India Puducherry Technological University Department of Electrical and Electronics Engineering Puducherry India Mallareddy Engineering College for Women Department of Electrical and Electronics Engineering Hyderabad India Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala Engineering College Department of Electrical and Electronics Engineering Chennai India V v College of Engineering Engineering Faculty Department of Electrical and Electronics Engineering Tamil Nadu India C. Abdul Hakeem College of Engineering & Technology Department of Electrical and Electronics Engineering India

ISBN: (纸本)9798350372816

Photovoltaic (PV) modules are crucial components of contemporary distribution networks, but they have historically been employed primarily to provide profitable, clean, and green energy. An Adaptive Neuro Fuzzy Inference System (ANFIS) is described in this study as a technique for MPP prediction using information on solar interaction and ambient temperature. The proposed technique has the benefits of a quick reaction, overall harmonic distortion discount, more effective utilization of PV units, and straightforward ANFIS algorithm training. An innovative type of large step up DC to DC converter is produced by combining the switched-capacitor cells by a conventional Z-source impedance network. The recommended converter delivers a great voltage gain lacking the limited accountability sequence and does not necessitate an enormous quantity of modules while decreasing a voltage heaviness on the diodes and the control switch to fewer than partial the productivity power. The performance and application of the recommended converter are established by the simulation and experimental findings. The comparison of the controllers shows the superior MPPT effectiveness of ANFIS as 92.3%. © 2024 ieee.

关键词： Fuzzy inference

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Design and Realization of Fractional-order VM Biquad Filter using CFOA

Design and Realization of Fractional-order VM Biquad Filter ...

引用

2023 International conference on Computer, Electronics and Electrical Engineering and their applications, IC2E3 2023

作者： Deshamukhya, Sukanya Mishra, Shalabh Kumar Aggarwal, Bhawna Netaji Subhas University of Technology Department of Ece Delhi India Bharati Vidyapeeth's College of Engineering Delhi India

ISBN: (纸本)9798350338003

This paper presents the active realization of a voltage mode fractional-order biquad filter which is capable of generating inverting low-pass, non-inverting band-pass along with a high-pass response. This filter has been realized using 3 current feedback operational amplifiers, 4 resistors and two fractional-capacitors of order α. The transfer function of the system is derived for all three responses. The stability of the suggested circuit is analyzed by employing the pole-zero plot in W-plane. The proposed circuit offers the independent frequency control feature by varying the order α. The average power consumption is calculated to be 0.22mW. The proposed circuit is simulated for various values of α using MATLAB and the transistor level simulation is carried out in LTSpice software using 180nm CMOS technology. © 2023 ieee.

关键词： Operational amplifiers

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Energy-Efficient and QoS Assurance Link Adaptation Scheme for Wireless Body Area Networks 32

Energy-Efficient and QoS Assurance Link Adaptation Scheme fo...

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32nd International Telecommunication Networks and applications conference (ITNAC)

作者： Chen, Da-Ren Liang, Nai-Xin Natl Taichung Univ Sci & Technol Dept Informat Management Taichung Taiwan

ISBN: (纸本)9781665471039

Due to limited power supply and long-life service requirements for wireless sensor nodes, energy and time-efficient methods are critical to in the wireless body area networks (WBAN). Link adaptation (LA) technique, in which modulation and coding are applied to change per channel conditions to maximize link throughput are widely investigated in the field of mobile communications. On the basis of LA and transmit power control (TPC) techniques, we propose a model-based calibration scheme to maintain a transmit power threshold table WBAN which satisfies the target quality of service (QoS) while minimizing transmission power of sensor nodes. Rather than existing methods that compare the SNR threshold with instantaneous channel SNR, we contrast the target bit error rate (BER) with instantaneous received BER, and calibrate the path loss and shadowing model, and receiver sensitivity. The proposed method lower bounds the transmit power given a pair of prescribed data rate and BER for a set of feasible combinations of modulation and coding schemes (MCSs). The performance evaluation show that the proposed method outperforms previous link adaptation methods in execution overheads and energy efficiency.

关键词： link adaptation wireless body area networks transmit power control

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Automated Neural Network Design using Genetic Algorithms 24

Automated Neural Network Design using Genetic Algorithms

引用

24th International conference on control Systems and Computer Science, CSCS 2023

作者： Catruna, Andy-Eduard Iancu, David-Traian University Politehnica of Bucharest Faculty of Automatic Control and Computers Bucharest Romania

ISBN: (纸本)9798350313390

With their ability to analyse and learn from complex data, neural networks have emerged as an ubiquitous machine learning tool with applications in many industries. Despite the success of neural networks in various tasks, obtaining the optimal structure for a specific problem is both time-consuming and difficult because of the large number of hyperparameters that need to be properly selected. To address this issue, this work proposes an approach for automating the design of neural networks through the use of genetic algorithms (GAs). More specifically, the proposed GA-based technique aims to find the optimal Convolutional Neural Network (CNN) architecture and learning-related hyperparameters for the problem of image classification. The approach is evaluated on the MNIST dataset, a widely used benchmark for image classification tasks, on which our top performing architecture obtains an accuracy of 99.35%. These results demonstrate the effectiveness of the proposed approach in terms of finding architectures that outperform those designed by human experts and are competitive with state-of-the-art models. The evaluation results are accompanied by a comprehensive analysis of the evolution of hyperparameters within generations and the changes in network architecture over time, providing insights into how the GA explores the search space. The proposed approach is a step forward in the direction of automating the process of neural network design and its results indicate that it can be a valuable tool for researchers. © 2023 ieee.

关键词： Genetic algorithms

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Research on Topology and control of Independent controllable Phase Separation Hybrid Distribution Transformers 7

Research on Topology and Control of Independent Controllable...

引用

7th International conference on Power and Energy applications, ICPEA 2024

作者： Guo, Jiacheng Yuan, Chang Zhu, Baichuan Zhang, Ruiye North China Electric Power University Beijing China

ISBN: (纸本)9798350356113

The Hybrid Distribution Transformer (HDT) combines the main winding of a power frequency transformer used for voltage conversion with a power electronic converter. HDT can utilize the controllable capacity of the converter to achieve other functions while performing voltage conversion. One of the main functions of HDT is to solve the power quality problems of loads. The current power quality issues in the distribution system are reflected in the fact that the three phases are not completely identical. Therefore, the phase independent and controllable power quality management method is more suitable for the current distribution system. The phase separated independent controllable hybrid distribution transformer (SHDT) proposed in this article uses three single-phase converters to solve the power quality problems of each phase separately. Considering the different solutions to voltage and current issues, the mode switching switches are adopted to change the series parallel connection relationship of the converter, achieving two types of compensation functions while independently controlling the phase separation. Based on theoretical analysis, the function of phase independent compensation and the effect of mode switching were verified in the simulation platform. © 2024 ieee.

关键词： Distribution transformers

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Fault detection and fault-tolerant operation of a seven-level inverter

Fault detection and fault-tolerant operation of a seven-leve...

引用

2023 International conference on Power, Instrumentation, Energy and control, PIECON 2023

作者： Naqvi, Aquib Mehdi Tripathi, Pushkar Singh, S.P. Institute of Engineering and Technology Electrical Engineering Department Lucknow India Rajkiye Engineering College Electrical Engineering Department Ambedkaragar India

ISBN: (纸本)9798350399769

applications of multilevel inverters (MLIs) are increasing extensively. Despite many advantages of MLIs, poor reliability of MLIs is a major concern as MLIs consist of a large number of semiconductor switches. Fault-tolerant topologies provide the solution to this problem. In this paper, a fault detection and identification method is presented for a sevenlevel fault-tolerant inverter. This fault detection method is based on monitoring the total harmonic distortion (THD) in output voltage and average voltage of one cycle. After identification of the faulty switch, the switching sequence and switching angles are to be adjusted. The method of fault detection and identification is verified by simulation results. © 2023 ieee.

关键词： Fault detection

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Automatic Vehicle License Plate Recognition Using Lightweight Deep Learning Approach 6

Automatic Vehicle License Plate Recognition Using Lightweigh...

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6th Iraqi International conference on Engineering technology and its applications, IICETA 2023

作者： Abdulkhaleq, Ali Hussein Altaher, Ammar Wisam. Saad, Aymen Al-Jawahry, Hassan M. Al-Awsat Technical University Technical College of Management Al-Furat Department of Information Technology Najaf Iraq The Islamic University Faculty of Engineering Najaf Iraq

ISBN: (纸本)9798350303339

Intelligent transportation systems rely heavily on automatic vehicle license plate recognition (AVLPR). This system is required for traffic control, electronic toll collection, and access to parking lots. Due to the complexity and structure of license plate design for each country, especially in Arabic countries, license plate recognition is one of the most difficult recognition problems. Using image processing and deep learning (DL) techniques, the proposed AVLPR system is applied to new Iraqi license plates (LPs). We proposed a Lightweight Convolution Neural Network (LWCNN) in this study. It has four convolutional blocks, each with a batch of Max-pooling and Dropout layers, as well as a Flatten layer and two Dense layers. This architecture is simple, fast, and dependable, with promising classification accuracy that could propel the field forward. The proposed algorithm achieved 98% detection accuracy for the standard new PLs style and 85% training accuracy for digits dataset. © 2023 ieee.

关键词： License plates (automobile)

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Machine Learning-based Anomaly Detection in IOT Sensing Devices for Optimal Security 2

Machine Learning-based Anomaly Detection in IOT Sensing Devi...

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2nd International conference on Data Science and Information System, ICDSIS 2024

作者： Karthiga, S. Ravisankar, P. Vijayarajeswari, R. Pushpa, N. Vino, T. Dobhal, Dinesh Srm Institute Of Science And Technology Department Of Computer Science And Applications Chennai Ramapuram India Simats Saveetha College Of Liberal Arts And Sciences Department Of Commerce General Chennai Thandalam India Sona College Of Technology Department Of Information Technology Tamilnadu Salem India R P Sarathy Institute Of Technology Department Of Artificial Intelligence And Data Science Tamil Nadu Salem India Sathyabama Institute Of Science And Technology Department Of Ece Tamil Nadu Chennai India Graphic Era Deemed To Be University Uttarakhand Dehradun India

ISBN: (纸本)9798350381665

The Internet of Things (IoT) is well-known as a new detecting paradigm for interacting with the real world in Industry 4.0. With IoT, major security concern arises in data communication between remote location and the data server. Data obtained from the different sensor devices have to be transmitted securely. Implementing Machine Learning algorithms increases the security as well as the efficiency of the IoT devices. In this research work, MQTT protocol is implemented for data transmission services in Internet of Things enabled devices. The research utilized historical information from a smart manufacturing plant's tracking sensor, control devices, and IoT cameras. The findings of this research work 5rimproved plant efficacy and security, resulting in quicker and more efficient reactions to uncommon incidents. Outcomes indicate a considerable influence on intelligent manufacturing plant effectiveness and security. Advanced detection of anomalies led to quicker and more efficient reactions to odd events, reducing significant occurrences and enhancing safety. Moreover, technique improvement and IoT infrastructure enhanced productivity by minimizing downtime and maximizing resource use. The suggested study compares machine learning-based protection measures to past studies on IoT protection and identifying anomalies in industrial settings, demonstrating their usefulness. Researchers saw a rise of 14% in the detection of anomalies and a 2% drop in false positives after training machine learning models. © 2024 ieee.

关键词： Internet of things

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