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检索条件"任意字段=2023 3rd International Conference on Electrical Engineering and Computer Technology, ICEECT 2023"

共 11232 条记录，以下是221-230 订阅

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An Efficient Technique of Predicting Toxicity on Music Lyrics Machine Learning 3

An Efficient Technique of Predicting Toxicity on Music Lyric...

引用

3rd international conference on electrical, computer and Communication engineering, ECCE 2023

作者： Bin Noor, Nahiyan Ahmed, Ishraq University of Arkansas at Little Rock Information Science 72204 United States Chittagong University of Engineering & Technology Electrical and Electronic Engineering Bangladesh

ISBN: (纸本)9798350345360

It is widely accepted that music is humanity's universal language since it can spread happiness and excitement throughout people's lives. Music is a form of art that is highly regarded worldwide. There are many ways that music lyrics affect our daily lives. In the music industry, it is crucial to prevent the reproduction of songs whose lyrics are toxic or unsuitable for children. Our mood might be impacted by listening to particularly toxic or non-toxic music. The listener's experience might be enhanced if the recommendation method eliminates toxicity. In this study, we use machine learning (ML) algorithms to classify lyrics from various musical genres and performers as toxic or non-toxic. Utilizing the Detoxify model, the toxicity score was generated and labelled the songs as toxic and non-toxic based on the scores. The study demonstrates that the configuration using the lyric data set along with TF-IDF vectorization and Ensemble of Logistic Regression, Support Vector Machine and Decision Tree as an algorithm surpasses all other designs with 94% accuracy. This classification will help the authority and policymakers of music industries to categorize the song based on the label and mention in the song description which is not appropriate for the children and set guidelines to prevent toxicity via songs. © 2023 IEEE.

关键词： Music

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Research and Analysis of Eddy Current Testing technology 3

Research and Analysis of Eddy Current Testing Technology

引用

3rd international conference on Energy, Power and electrical engineering, EPEE 2023

作者： Li, Deqing Zhao, Lina School of Traffic and Electrical Engineering Dalian Institute of Science and Technology Lvshun Liaoning Dalian116052 China

ISBN: (纸本)9798350318180

Eddy current nondestructive testing is a field of considerable concern at present. As a newly emerging subject field, it has great vitality. On how to improve the level of detection field, this design applies MATLAB simulation software to realize the scientific operation and visual output of the mathematical expression of probe impedance when the detection probe is located above the double-layer conductive structure. So as to analyze the relationship between the electrical conductivity, magnetic permeability, thickness and coil impedance of the tested material. And the model can be used to study how to remove the interference caused by lift-off, edge and related factors to eddy current detection. The impedance model of cylindrical hollow coil is selected. It is the fundamental purpose of this design to get the detection value accurately and quickly so as to reconstruct the defects and cracks. © 2023 IEEE.

关键词： control system detection probe eddy current detection impedance MATLAB

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Automated Brain Tumor Detection Using Soft Computing-Based Segmentation Technique 3

Automated Brain Tumor Detection Using Soft Computing-Based S...

引用

3rd international conference on Computing and Information technology, ICCIT 2023

作者： Zubair, Muhammad Umair, Muhammad Owais, Muhammad University of Central Punjab Faculty of Information Technology & Computer Science Lahore Pakistan Khalifa University Kucars C2PS Dept of Electrical Engineering & Computer Science United Arab Emirates

ISBN: (纸本)9798350321487

Development and growth of abnormal cells within the brain results in brain tumor. In this study, a novel segmentation methodology is proposed for the segmentation of tumor. The proposed model consists of two phases. In the first phase, the brain CT image from the medical database is pre-processed to remove artifacts and noise. For Image segmentation, a Hierarchical Self Organizing Map (HSOM) is used that provides promising segmentation results. The conformist Self Organizing Map (SOM), which was used to categorize the picture row by row, is extended by the HSOM. Thus, the HSOM with vector quantization speeds up calculation at this lowest level of the weight vector, where there are more tumor pixels. The proposed automated system is tested on Kaggle (online available) database and achieves an accuracy of 98.94%. © 2023 IEEE.

关键词： Self organizing maps

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A Geohash-Based Location-Aware Computing Resource Sharing System 3

A Geohash-Based Location-Aware Computing Resource Sharing Sy...

引用

3rd international conference on Electronic Information engineering and computer Communication, EIECC 2023

作者： Zhang, Dalei Huang, Xiaojun College of Communication and Information Engineering Xi'An University of Science and Technology Xi'an China

ISBN: (纸本)9798350359961

This article presents an innovative Geohash-based system for location-aware computing resource sharing, focused on AIOT. The system utilizes Geohash code, embedding device information, IP addresses, port numbers, and computing resources. Through broadcast interactions, devices exchange geographic and resource data, facilitating rapid access to nearby computing resources for distributed processing and enhanced efficiency. © 2023 IEEE.

关键词： AIOT computing resource sharing Edge intelligence Geohash Location awareness

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A Statistical Investigation of Spatial Consistency and Human Blockage Consideration based mmWave Channel Modeling for 5G Back-Haul Networks 3

A Statistical Investigation of Spatial Consistency and Human...

引用

3rd international conference on electrical, computer and Communication engineering, ECCE 2023

作者： Imrose, Md. Rahat Hassan, Md. Tarek Hassen, Md. Rajibul Mowla, Md. Munjure Dept. of Electronics & Telecommunication Engineering Rajshahi6204 Bangladesh

ISBN: (纸本)9798350345360

Due to its broad (10-300 GHz) spectrum and potential for widespread use in 5G applications, millimeter wave (mmWave) technology is proposed as an alternative to optical fiber for backhaul. However, human blockage as well as rapid channel fluctuation caused by user movement are two of the biggest obstacles to mmWave communication implementation in the network. Spatial consistency is one of the most crucial factors for achieving smooth channel fluctuations and contributing in the design of channel estimation and beam tracking. This paper investigates a clear understanding of how human blockage and spatial consistency affect the reliability of 5G mmWave backhauling in real-life scenarios for an urban macrocell (UMa) of busy airport areas. An extensive simulation on mmWave backhauling considering 28 GHz and 60 GHz mmWave has been carried out which will significantly affect the channel modeling of next-generation complex communication networks. © 2023 IEEE.

关键词： Millimeter waves

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Two Axis Feedback System for Radiosonde Antenna Tracker Controller 3

Two Axis Feedback System for Radiosonde Antenna Tracker Cont...

引用

3rd international conference on Electronic and electrical engineering and Intelligent System, ICE3IS 2023

作者： Dwi Oktaviani, Rara Okta Wiyagi, Rama Ardiyanto, Yudhi International Technology and Innovation Management International College Khon Kaen University Khon Kaen Thailand Universitas Muhammadiyah Yogyakarta Department of Electrical Engineering Yogyakarta Indonesia

ISBN: (纸本)9798350327762

Radiosonde tracking during active probing in the atmosphere is essential to ensure that ground stations receive complete information from the radiosondes. This study proposes a feedback system for the closed loop control method of dual axis tracking antennas. The feedback system aims to provide information on the azimuth and elevation angle of the directional antenna so that the antenna can follow the direction of the radiosonde position accurately. The feedback element used to detect the elevation angle is an absolute rotary encoder while the digital compass sensor detects the azimuth angle. The result showed that the highest percentage of error measurement of elevation angle was 0.6% with an average error of 0.2 % with a resolution of 1.41°. Meanwhile, the azimuth angle revealed 0.83% as the highest percentage of error with an average -0.139% after calibration with a resolution of 1°. © 2023 IEEE.

关键词： Errors

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COMSOL-Based Modeling and Simulation of ISFET pH Sensor Using Si02Sensing Film 3

COMSOL-Based Modeling and Simulation of ISFET pH Sensor Usin...

引用

3rd international conference on electrical, computer and Communication engineering, ECCE 2023

作者： Hossain, Salvir Rahman, Md Tawabur Khulna University of Engineering & Technology Department of Electrical and Electronic Engineering Khulna Bangladesh

ISBN: (纸本)9798350345360

The measurement of pH is an important routine practice in many chemical and biomedical applications. This work reports an Ion Sensitive Field Effect Transistors (ISFET) based pH sensor. The two-dimensional modeling of the sensor is performed in the COMSOL Multiphysics® v. 6.0 platform using its semiconductor module, electrostatics module, and transport of diluted species module. The binding of ions in Si02 results in induced charge carriers in the conducting channel of ISFET, which is controlled by the applied gate voltage for determining ion concentration. Here, the pH of water as the bulk electrolyte is measured by attaining the required gate voltage to achieve a certain drain current in ISFET. The sensor shows excellent sensitivities of 48.7 mV/pH and 41.3 mV/pH with linear detection ranges of pH 1-7 and 8-13, respectively. The excellent sensitivity and wide linear detection range can be attributed to the high concentration of surface sites in the Si02 sensing film and improved disassociation constants in the presence of the gate oxide in contact with the electrolyte. Finally, this sensor demonstrates its potential for real applications. © 2023 IEEE.

关键词： pH sensors

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Investigating the Potential of Machine Learning for Enhancing Real-Time Data Analysis 3

Investigating the Potential of Machine Learning for Enhancin...

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3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Singh, Khushboo Mahalakshmi, V. Chavhan, Pranali G. Garg, Prateek Sahoo, Girija Shankar Sukumar, R. Vivekananda Global University Department of Computer Science & Engineering Jaipur India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electrical and Electronics Engineering Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Chitkara University Institute of Engineering and Technology Chitkara University Centre of Interdisciplinary Research in Business and Technology Punjab India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Department of Electronics and Communication Engineering Karnataka Ramnagar562112 India

ISBN: (纸本)9798350319125

This abstract discusses the capability of system learning to serve as a device for real-time facts evaluation and its ability to decorate the accuracy of the resulting insights. Specifically, it examines the advantages of computerized function engineering and the way system gaining knowledge of primarily based tools may be leveraged to offer businesses with actionable data insights extra efficaciously than conventional strategies. It additionally looks at a few rising technologies, inclusive of deep neural networks, and their capability to push the limits of information analysis in real-time, and also discusses how improvements in allotted computing can similarly supplement the impact of gadget studying gear. Eventually, this summary additionally affords some demanding situations associated with actual-time evaluation of massive volumes of facts, and some advised answers. © 2023 IEEE.

关键词： Deep neural networks

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A Survey on Neural and Non-Neural Network Based Approaches to Classify Images and Signals 3

A Survey on Neural and Non-Neural Network Based Approaches t...

引用

3rd international conference on electrical, computer and Communication engineering, ECCE 2023

作者： Noor, Nahiyan Bin Das, Opy University of Arkansas Information Science Little Rock72204 United States Chittagong University of Engineering & Technology Electrical and Electronic Engineering Bangladesh

ISBN: (纸本)9798350345360

The classification of signals and images using machine learning and artificial intelligence is a rapidly growing field with various applications across various industries. It is used in diverse areas of life, from medical science to security and transportation to entertainment. The ability to classify and analyze signals and images using ML and AI techniques allows for improved automation, decision-making, and predictions in many fields. This research examines the classification of signals and images using various neural and non-neural network-based algorithms. The focus is on the application of Convolutional Neural Networks (CNN) on image and signal datasets, specifically in the medical field. The classification of EEG signals is used to identify epileptic seizure disease, while food image datasets are used to classify seven different categories of food. Additionally, five pre-trained CNN models were applied to the food dataset using transfer learning techniques, with the VGG19 model achieving the highest accuracy of 94%. The classification of EEG signals using a publicly available dataset resulted in an accuracy of 98%. This study highlights the potential of machine learning in the analysis and classification of medical images and signals and the ability of CNNs to classify such data effectively. © 2023 IEEE.

关键词： Image classification

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A Design of Orthogonal Switchable Feed Networks Integrated Microstrip Antenna for Six Polarization States 3

A Design of Orthogonal Switchable Feed Networks Integrated M...

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3rd international conference on electrical, computer and Communication engineering, ECCE 2023

作者： Rahman, Muhammad Asad Rahman, Md. Naimur Hossain, Md. Azad Chittagong University of Engineering and Technology Faculty of Electrical and Computer Engineering Bangladesh

ISBN: (纸本)9798350345360

In this paper, an aperture-coupled microstrip antenna with polarization reconfigurability in the sub-6 GHz range is proposed. The proposed antenna can excite horizontal and vertical linear polarization (LP), +45°and -45°LP, right-hand and left-hand circular polarization (CP). To attain polarization reconfigurability, a square shaped patch antenna is excited by either single or dual-feeding mode with two orthogonal aperture-coupled switchable feed networks where each network has either a quadrature length shifter or a 180° phase shifter. Single port is used to excite horizontal and vertical LP. On the other side, switchable dual port excitation can produce +45°LP, -45°LP, RHCP, and LHCP. Basically, 180° phase shifter helps to achieve ±45° LP and quadrature length shifter is used to excite dual-CP sense. For wireless applications, the suggested antenna is more appealing due to its low cross-polarization level and good isolation in each polarization state. The proposed antenna has 10-dB impedance bandwidth (BW) of 1.17% for LP, 0.72% for LHCP, and 0.60% for RHCP. Moreover, 3-dB axial ratio (AR) BW is more than 2.50% for both CP senses. Better isolation characteristic ( © 2023 IEEE.

关键词： Polarization

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