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Silchar Subsection Conference (SILCON), IEEE

作者： Satyam Singh Vedant Hambire Dipshikha Hazari Harsh Yadav Dept. of Mechanical Engineering National Institute of Technology Agartala India Dept. of Electrical Engineering National Institute of Technology Agartala India

ISBN: (数字)9798331540821

ISBN: (纸本)9798331540838

The study presents the design and analysis of an unmanned aerial vehicle (UAV) specifically engineered for efficient water payload transport with a capacity of 4 liters. The study encompasses a comprehensive approach, including the conceptual design, structural integrity assessment, and aerodynamic analysis of the proposed design of the UAV. The key aspects such as weight optimization, stability, and control systems are examined to ensure optimal performance and safety. The efficiency and effectiveness of the proposed UAV in real-world scenarios are assessed through comprehensive calculations and analyses. The findings highlight the UAV's potential applications in emergency response, agriculture, and remote area supply chains, offering a sustainable and innovative solution for water transportation challenges.

关键词： Solid modeling Propellers Supply chains Prototypes Propulsion Autonomous aerial vehicles Aerodynamics Optimization Payloads Testing

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Integrated Guidelines for Enterprise Economic Security Enhancement Amid Digital Transformation 3

Integrated Guidelines for Enterprise Economic Security Enhan...

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3rd International Conference on Creative Communication and Innovative technology, ICCIT 2024

作者： Apriani, Desy Apriliasari, Dwi Maharani, Aditya Hidayat, Farhan Julianingsih, Dwi Fahrudin, Rifqi University of Raharja Dept. of Information Systems Tangerang Indonesia Pandawan Sejahtera Indonesia Dept. of Information Systems Tangerang Indonesia Bina Bangsa University Dept. of Information Technology Serang Indonesia Bosindo Dept. of Informatics Engineering Tangerang Indonesia Aptisi Dept. of Retail Management West Jakarta Indonesia Catur Insan Cendekia University Dept. of Information Systems Cirebon Indonesia

ISBN: (纸本)9798350367492

As enterprises undergo rapid digital transformation, securing economic stability amidst evolving threats becomes increasingly complex. This paper introduces a set of integrated guidelines designed to enhance enterprise economic security in this dynamic environment. We systematically explore the interplay between digital advancements and economic security challenges, such as cyber threats, data breaches, and compliance issues. Our approach integrates advanced technological solutions with strategic organizational practices and comprehensive policy frameworks. By evaluating current security paradigms and proposing a holistic security model, we offer a roadmap for enterprises to safeguard their economic interests effectively. The guidelines are validated through real-world case studies and simulations, illustrating their practicality and efficacy in fortifying economic security. This research provides a valuable framework for enterprises aiming to balance digital innovation with robust economic protection. © 2024 IEEE.

关键词： Marketing

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Transfer Learning-based Human Motion Capture and Classification system using Multiple Low-cost IMU and Flex Pressure Sensors

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Transactions of the Korean Institute of Electrical Engineers 2023年第11期72卷 1434-1440页

作者： Bae, Munkyu Kim, Guntae Park, Yi-Hyeong Kang, Chang Mook Dept. of Electrical Engineering Incheon National University Korea Republic of Dept. of Embedded System Engineering Incheon National University Korea Republic of

In this paper, we present a transfer learning-based human motion capture and classification system using multiple IMU and flex sensors without camera. The proposed system consists of 6 low-cost IMUs and 12 flex pressure sensors. For the human motion classification, the signals of multiple IMUs were reconstructed into images using wavelet transform. The transformed image is designed to be used as an input to the convolution neural network. The network was designed using Inception V3-based transfer learning. For motion capture without using a camera, the presented system was constructed through a combination of IMUs (MPU6050) and flex pressure sensors (thin film pressure sensors) rather than multiple IMUs. The proposed method showed 86.67% accuracy and 0.869 points of f1-score. The proposed system is expected to be applicable to a healthcare system that can provide exercise coaching without cameras, and without space restrictions. Copyright © The Korean Institute of Electrical Engineers.

关键词： Pressure sensors

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Review of: Deep Learning (DL) for Beamforming Array (BFA) Antenna

Review of: Deep Learning (DL) for Beamforming Array (BFA) An...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Ali A. Naji Thamer M. Jamel Hassan F. Khazaal dept. of Electrical Engineering University of Was it Wasit Iraq dept. of communications engineering University of Technology Baghdad Iraq

ISBN: (数字)9798350374131

ISBN: (纸本)9798350374148

In the realm of wireless communication, smart antennas are widely employed to augment system capacity, mitigate interference, and function with little complexity. The utilization of deep learning algorithms is of paramount importance in the reduction of computational complexity inside smart antenna systems. Beamforming techniques are employed by these algorithms to enhance signal transmission and reception by increasing signal power in desired directions and decreasing it in undesired directions. There are several directional antenna array techniques that utilize deep learning alaorithms in order to enhance performance. This work investigates the utilization of deep learning in the field of wireless communications, with a specific emphasis on beamforming techniques employed in smart antenna system design.

关键词： Deep learning Wireless communication Array signal processing Training data Interference Data models Arrays

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Thumbs-Up: A Sanction Probe Software using Machine Learning 6

Thumbs-Up: A Sanction Probe Software using Machine Learning

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6th International Conference on Electronics, Communication and Aerospace technology, ICECA 2022

作者： Velmurugan, N. Christika, S. Govarthini, V. Kayalvizhi, S. Saveetha Engineering College Chennai India Dept. of Information Technology Saveetha Engineering College Chennai India

ISBN: (纸本)9781665482714

A Sanction Probe program proposed in this paper is primarily concerned with the uncertainty that arises while checking the hosteller's authorization to depart. A program that uses image processing has been developed to automatically check a student's permission as they walk through the college's entrance. In a hostel that has many students, it is difficult to maintain a manual outing record. Students intend to go on an outing or to their native during festivals/ government holidays. The developed Sanction Probe software is a gadget that checks a student's authorization before they leave the dormitory. Hostel guests are required to submit their authorization in an online form through the Thumbs-up website to the hostel's website under their username. When a hosteller walks through the entry, their accounts will be verified to determine whether they have an authorization, and a sound will alert if not. Machine learning is used to create the software by training sample inputs and training the model for image recognition. © 2022 IEEE.

关键词： Students

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Zero-Shot Sentiment Analysis Exploring BART Models 8

Zero-Shot Sentiment Analysis Exploring BART Models

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8th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science, BCD 2023

作者： Kyritsis, Konstantinos Perikos, Isidoros Paraskevas, Michael University of Peloponnese Computer Technology Institute and Press "diophantus" Electrical and Computer Engineering Dept. Patras Greece University of Patras Computer Engineering and Informatics Department Patras Greece

ISBN: (纸本)9798350373615

The BART model is an advanced adaptation of transformers introduced by Facebook. It has incorporated elements from both BERT and GPT transformers, enabling significant advancements in language understanding and general speech processing. Utilizing both encoder and decoder components, BART proves versatile for various tasks, including translation, text completion, automatic sentence generation, entity recognition, sentiment analysis, and more. In this study, we focus on the study of pretrained models, BART and a modified version called distilbart, in the context of Zero-Shot Text Classification. In the experimental study we dive into the Zero-Shot technique applied to various pretrained Transformers. Our analysis demonstrates that, depending on the Model we utilize, we can achieve F1 scores of up to 88%, showcasing the model's effectiveness in discerning classes for this Sentiment Analysis problem using the Zero-Shot Text Classification technique. © 2023 IEEE.

关键词： Sentiment analysis

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Transformer-less Driving Circuit for Semiconductor Opening Switch Using Transient Voltage Suppressor Diodes 10

Transformer-less Driving Circuit for Semiconductor Opening S...

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10th Euro-Asian Pulsed Power Conference, 25th International Conference on High-Power Particle Beams and 20th International Symposium on Electromagnetic Launch technology, EAPPC-BEAMS-EML 2024

作者： Hassan, Mahmoud S. Abounemra, A. M. Elelimy Huiskamp, T. Safwat, Ibrahim M. Ahmed, Hesham N. Military Technical College Electronic Engineering Dept. Cairo Egypt Eindhoven University of Technology Electrical Energy Systems Group Eindhoven Netherlands Military Technical College Electrical Power and Energy Dept. Cairo Egypt

ISBN: (纸本)9789038661353

Solid-state pulsed power generators based on custom fabricated semiconductor opening switches (SOS) produce high-voltage pulses with extremely fast rise times and short durations. It has been demonstrated that off-The-shelf diodes can be operated in the SOS mode by utilizing excitation circuits based on either a bulky saturating pulse transformer or dual DC power supplies. In this paper, a novel alternative, transformer-less, compact, single DC supply driving circuit is presented to drive off-The-shelf diodes into the SOS mode of operation. The proposed circuit consists of a high-pulsed current MOSFET switch, air-core inductors and capacitor. The circuit is used to drive Transient Voltage Suppressor (TVS) diodes into the SOS mode of operation. As proof of concept, a prototype has been implemented with 22 TVS diodes arranged in two parallel symmetric branches. The obtained results demonstrate that the circuit successfully delivers high-voltage output pulses more than 5.8/4.3kV across a 270Ω/50Ω load with a 6.4ns/6.3ns rise time and FWHM pulse duration of 19.2ns/18.4ns respectively, when excited with approximately 38 mJ source energy. Based on the obtained results, the door is open for future use of off-The-shelf diodes as opening switches in a wide range of solid-state-based pulsed power systems. © 2024 Eindhoven University of technology.

关键词： PIN diodes

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Water Quality Prediction using Classification techniques on XGBoost, KNeighbors, SVC, Random Forest, AdaBoost, and GaussianNB Classifier

Water Quality Prediction using Classification techniques on ...

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2023 IEEE Global Conference on Information Technologies and Communications, GCITC 2023

作者： Gill, Kanwarpartap Singh Tuteja, Gaurav Anand, Vatsala Gupta, Rupesh Hsiung, Pao-Ann Chitkara University Institute of Engineering and Technology Chitkara University Punjab India National Chung Cheng University Dept. of Computer Science and Information Engineering Chiayi County Taiwan

ISBN: (纸本)9798350308167

A key environmental problem that is extensively researched for academic purposes is water contamination. To understand the origins, impacts, and potential solutions to water contamination, researchers look into a variety of issues. Environmental science, chemistry, biology, engineering, and policy are essential for study of water pollution. Classifiers as proposed help create early warning systems for probable pollution events by categorising water quality based on previous and current data. These systems aid in prompt reactions to occurrences of pollution prevention or mitigation. It is essential to tackling one of the most urgent issues affecting the wellbeing of ecosystems and human communities. By training models to predict the degree of pollution or the category of pollutants based on input characteristics, machine learning classifiers can classify water contamination. This study focuses on XGBoost, KNeighbour, SVC, Random Forest, Adaboost, and GaussianNB classifiers' various classification methodologies for predicting water quality. The XGBoost classifier, which may be used for future study, emerges as the best classifier out of all of these. © 2023 IEEE.

关键词： Artificial Intelligence Classification Data Science Deep Learning Machine Learning ROC Curve Water Pollution

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Analysis of Lightning Shielding Effect by Overhead Ground Wire of Catenary system on the High-Speed Railway

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Transactions of the Korean Institute of Electrical Engineers 2023年第11期72卷 1520-1525页

作者： Chang, Sang-Hoon Dept. of Railroad Electrical System Engineering Woosong University Korea Republic of

This paper is verified the lightning shielding effect of overhead ground wire(OHGW) on high-speed railway catenary systems. The simulation results show that OHGW can effectively shield lightning current, resulting in a significant reduction in leakage current and improved lightning protection performance. The simulation was conducted using EMTP-ATP, which are widely used to analyze transient phenomena in power systems. The ground resistivity was assumed to be 1,000 [Ω·m]. The lightning shock withstand voltage of the catenary insulator was set to 250 [kV] and 380 [kV]. The lightning current was varied from 1 to 30 [kA]. As a result, when OHGW is installed in a bridge section where there is a risk of lightning, the minimum flashover current increases from 8 [kV] to 10 [kV] when the catenary insulator is 250 [kV]. At 380 [kV], the minimum flashover current increases from 14 [kV] to 17 [kV]. The results of this study suggest that OHGW is an effective way to improve the lightning protection performance of high-speed railway catenary systems. Copyright © The Korean Institute of Electrical Engineers.

关键词： Flashover

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Processing landslide hazard prediction using satellite image segmentation 3

Processing landslide hazard prediction using satellite image...

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3rd International Conference on Geographic Information and Remote Sensing technology, GIRST 2024

作者： Chiu, Chenyuan Hsu, Sung-Chi Huang, Yishuo Zhang, Nan Peng, Chen Labib Ul Islam, Syed School of Civil Engineering Jiaying University Guangdong Meizhou514015 China Dept. of Construction Engineering Chaoyang Univ. of Technology 168 Jifong East Rd. Wufong Taichung41349 Taiwan School of Engineering University of Birmingham Edgbaston BirminghamB15 2TT United Kingdom Dept. of Civil Engineering University of Birmingham Edgbaston BirminghamB15 2TT United Kingdom

ISBN: (纸本)9781510689077

Remote sensing technology has become one of the indispensable techniques for the investigation of geologic disasters at home and abroad. However, the interpretation of bare ground classification by satellite multispectral images is often interfered by atmospheric clouds in mountainous areas, shadows on the mountains, and the phenomenon of Speckle Signals, which seriously affects the correctness of the interpretation images, and is prone to errors such as misjudgment or omission. In this study, the SPOT 5 satellite images of the study area were segmented by applying the Multiphase Level Set Framework using MATLAB computation. The results show that the problem of the speckle signals can be eliminated efficiently and quickly, and the complex terrain and features can be segmented into simple objects, which can solve the problem of the spatial recognition rate without being affected by the resolution of the image itself, and improve the image accuracy. This can solve the problem of spatial recognition without being affected by the resolution of the image itself, and improve the accuracy of satellite image interpretation, which can be used as a possible landslide trend. © 2025 SPIE.

关键词： Landslides

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