2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)最新文献_第7页

Machine Learning based prototype for Customer Segmentation using RFM 基于机器学习的RFM客户细分原型

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157319

V. Asha, Binju Saju, Singh Navnit Dhirendra, Yuvraj Kaswan, Prajwal G C, S. Sreeja

{"title":"Machine Learning based prototype for Customer Segmentation using RFM","authors":"V. Asha, Binju Saju, Singh Navnit Dhirendra, Yuvraj Kaswan, Prajwal G C, S. Sreeja","doi":"10.1109/ICEEICT56924.2023.10157319","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157319","url":null,"abstract":"One way to hike consumer satisfies the services of the company provides is through an use of the customer relationship management (CRM) system. It can be difficult to determine the proper info what customer requires from data in your CRM system. Businesses can use data mining processes to segment and retrieve important customer information. Basis of consumer's RFM (Recency, Frequency, and Monetary) score, we can classify the customer segmentation. The RFM model has been utilised as the foundation for client segmentation in a number of research. However, the approaches suggested in earlier research are extremely particular to particular businesses, the score of RFM range employed as likewise more arbitrary. Additionally, is organizations grow, problems arise with RFM scoring. Measurements of RFM scores require periodic corrections, and current techniques make these corrections difficult. Determine a correct RFM score range, this study provided a unique technique that used a combination of K-Means and the Davies-Bouldin Index (DBI), circumventing the shortcomings of previous methods. As the amount of data rises, the suggested technique makes it easier to calculate RMF ratings. This is based on research conducted in the telecom industry. The K-Means method used in this study also produced the correct RFM score range which is depended on the ideal K values of the K-Means algorithm. The proposed solution only depends on each customer's RFM value from the corresponding data, so it can be used in different industries.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115187085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ensemble Deep Learning Classifier for Optimal Detection of Melanoma Cancer 基于集成深度学习分类器的黑色素瘤癌最优检测

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157099

M. Maheswari, A. Aloysius, P. Purusothaman

引用次数: 0

An Electromyography Based Intelligent System for Classification of Sitting and Standing Posture 基于肌电图的坐姿与站立姿势智能分类系统

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157086

S. Bhatlawande, Dhawal Khapre, Akshay Khare, S. Shilaskar

引用次数: 1

Design of PUF Based Chaotic Random Number Generator 基于PUF的混沌随机数发生器设计

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157913

Uday Kiran Anchana, Manisha Mogireddy, Ekshith Kadavergu, Sangeeta Singh

引用次数: 0

A Four-Port Novel Inset-Fed, Rectangular MIMO-Antenna Designed for 2.40 GHz Bluetooth & Wi-Fi Applications 专为2.40 GHz蓝牙和Wi-Fi应用而设计的新型四端口嵌入式馈电矩形mimo天线

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10156908

Vaishali Kikan, Anusha Dagar, Shreya Singh, Shweta Singh, Nishika Chandra Deo, Ashwni Kumar, Manish Sharma

{"title":"A Four-Port Novel Inset-Fed, Rectangular MIMO-Antenna Designed for 2.40 GHz Bluetooth & Wi-Fi Applications","authors":"Vaishali Kikan, Anusha Dagar, Shreya Singh, Shweta Singh, Nishika Chandra Deo, Ashwni Kumar, Manish Sharma","doi":"10.1109/ICEEICT56924.2023.10156908","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10156908","url":null,"abstract":"The research work presents a microwave access 4-port multiple input multiple (MIMO) output antenna designed on a FR4 epoxy substrate in this article. A single element design radiating electromagnetic energy is simulated and presented with the narrow bandwidth from 2.36-2.425GHz on $60times 60$ mm2 substrate. The proposed antenna releasing EM wave provides the refection coefficient of −22.447dB at 2.4GHz and peak S22 reaches up to −27.1261dB. It is evident that the given antenna resonates at 2.4 GHz frequency band with acceptable reflection coefficient, bandwidth, and gain, which supports Bluetooth and Wi-Fi technology. The proposed design is then converted to the MIMO structure for mobile users, which offers good real and imaginary impedance of 50 ohm and 0 ohm respectively. The proposed antenna offers a peak gain of 2.63 dBi and radiation efficiency of more than 90% in communication technologies. The MIMO antenna exhibits good diversity performance, with to diversity gain ($text{DG}_{2.4} > 9.999text{dB}$), Envelope Correlation Coefficient $(text{ECC}_{2.4} < 1.12times 10^{-7})$, Total Active Reflection Coefficient $(text{TARC}_{2.4} < -6text{dB}), text{CCL}2.4 < 0.30mathrm{b}/mathrm{s}/text{Hz}$ and $text{MEG}_{mathrm{a}}-text{MEG}_{mathrm{b}}approx 0dB$.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127181496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Speed Control Of Brushless DC Motor Using Hybrid ANFIS-FOPID Controller 基于anfiss - fopid混合控制器的无刷直流电动机速度控制

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10156982

Bhaskara Naga Siresha, N. Swathi, R. Kiranmayi, K. Nagabhushanam

{"title":"Speed Control Of Brushless DC Motor Using Hybrid ANFIS-FOPID Controller","authors":"Bhaskara Naga Siresha, N. Swathi, R. Kiranmayi, K. Nagabhushanam","doi":"10.1109/ICEEICT56924.2023.10156982","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10156982","url":null,"abstract":"Brushless DC motor (BLDC) is a type of synchronous motor, gaining high popularity in various industries due to having high efficiency, dynamic response and long operating life. Closed loop control strategies were established for industrial drive applications, and PI, PID, FOPID, and FUZZY controllers were utilized in conjunction with power electronic converters. This paper presents controlling of speed and torque of BLDC motor using hybrid techniques. With the help of FOPID & Fuzzy controller, motor's reference current and inverter DC Bus voltage can be varied respectively. For tuning parameters of FOPID controller, a Modified Harmonic Search (HS) algorithm is employed. Hybrid Fuzzy-FOPID controller is used and implemented in simulink platform. BLDC motor is tested under three different operating conditions such as No-Load, Variable load, variable speed. Simulation results show that Fuzzy-FOPID controller gives greater steady-state error, rated starting torque and ripples throughout the speed profile. To overcome this drawback Hybrid ANFIS-FOPID controller with HS algorithm will be implemented and developed in MATLAB/Simulink platform and evaluates its performance under three different operating conditions. Simulation results show that proposed ANFIS-FOPID controller reduces steady-state error and ripples.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126591041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigations on Machine Learning Models for Mental Health Analysis and Prediction 心理健康分析与预测的机器学习模型研究

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157385

Ajith Sankar R, S. Juliet

引用次数: 0

Sea Lion Optimized Eight Shaped Split Ring Resonator 海狮优化八形裂环谐振器

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157324

Robin George, T. A. Jones Mary

引用次数: 0

On-Body and SAR analysis of a Polyester Textile antenna for Wearable Applications 可穿戴聚酯织物天线的体上及SAR分析

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10157163

S. Salma, H. Khan, B. Madhav, B. Sathwik, S. S. D. Praveen Koushik, P. Arun Harsha Vardhan

{"title":"On-Body and SAR analysis of a Polyester Textile antenna for Wearable Applications","authors":"S. Salma, H. Khan, B. Madhav, B. Sathwik, S. S. D. Praveen Koushik, P. Arun Harsha Vardhan","doi":"10.1109/ICEEICT56924.2023.10157163","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157163","url":null,"abstract":"An polyester substrate textile antenna is proposed for wearable body applications at 4.6 and 5.8 GHz frequencies. The antenna has the required compact design for wearable applications. The X-mass tree-shaped patch, supported by the staircase structure, aids the antenna in operating at treble bands. The antenna's polyester has hydrophobic properties, and the conductive ground patch layers were portrayed by means of the conductive adhesive copper film. A prototype was developed with the polyester material as the substrate, and the total footprints of the antenna are 30x20 mm2. This model was meant for wearable applications, so it was intensively tested in many horizontal and vertical bending positions. Thus the conformability of the antenna was validated. The specific absorption rate (SAR) analysis was also done on a three-level human phantom prototype; comprising muscle, fat and skin. The dual wearable application frequencies of 4.6 and 5.8 GHz applications are validated. The results from the SAR analysis conclude that the antenna is safe to use on the human body with a max SAR of 0.762 and 0.698 w/kg for 1 gram of tissue. The compact design with conformability and safe SAR thresholds aid the antenna for wearable body application.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126321044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

American Sign Language Letter Recognition from Images Using CNN 使用CNN从图像中识别美国手语字母

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2023-04-05 DOI: 10.1109/ICEEICT56924.2023.10156922

Neeraj Singla

{"title":"American Sign Language Letter Recognition from Images Using CNN","authors":"Neeraj Singla","doi":"10.1109/ICEEICT56924.2023.10156922","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10156922","url":null,"abstract":"American Sign Language (ASL) is a complex and diverse language used by millions of individuals with hearing impairments or disabilities. Accurate and efficient recognition of ASL letters from images is crucial for effective communication and accessibility.[1] However, this is a difficult task due to different hand shapes, orientations, and lighting conditions.In this study, we present a deep learning-based approach for accurately recognizing ASL characters from images. We trained three convolutional neural network (CNN) models, namely VGG16, InceptionV3, and MobileNetV2, on a large dataset of ASL letter images. These models were chosen because they have shown impressive performance in image classification tasks in various contexts. After training, we evaluated the models on a test set of ASL letter images, achieving classification accuracies of 90.7%, 95.7%, and 98% for VGG16, InceptionV3, and MobileNetV2 respectively.Our research provides significant contributions to the field of computer vision, particularly in the recognition of ASL letters from images. Our findings highlight the potential of deep learning-based research development for improving communication technology and accessibility for individuals with hearing impairments, by providing accurate and efficient recognition of ASL letters from images.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"155 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116515404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0