2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)最新文献_第7页

FRCNN based Deep Learning for Identification and Classification of Alopecia Areata 基于FRCNN的斑秃深度学习识别与分类

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179804

C. Saraswathi, B. Pushpa

{"title":"FRCNN based Deep Learning for Identification and Classification of Alopecia Areata","authors":"C. Saraswathi, B. Pushpa","doi":"10.1109/ICECCT56650.2023.10179804","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179804","url":null,"abstract":"Most patients suffer from scalp hair issues like dermatitis, baldness, and so on as an outcome of unhealthy lifestyles, hormonal imbalance, and so on. The most common type of alopecia is alopecia areata (AA), which is typically detected and diagnosed using medical image processing models. However, they are unreliable for striking or intersecting hairs and are directly influenced by design variables. Deep Learning (DL) in imaging data was thus used to detect and diagnose AA. Similarly, various DL models recognized and diagnosed various scalp hair conditions. Likewise, various scalp hair conditions were recognized and diagnosed by the various DL models. Hence, this paper proposes a Faster Residual Convolutional Neural Network (FRCNN) model to recognize AA and scalp conditions together for many individuals with different kinds of baldness. The main goal of the FRCNN is to use a Region-Of-Interest (ROI) projection layer to enhance the recognition accuracy of AA and scalp hair symptoms. In this FRCNN model, the given scalp and AA images are initially fed to the ROI projection layer and deep convolutional layer to extract feature maps, which are aggregated by the ROI pooling to get the final feature vector representation. Then, the obtained feature vector is passed to the Fully Connected (FC) layer accompanied by the softmax classifier to recognize the various conditions of AA. Finally, the test results show that the FRCNN on hair and scalp image databases achieves an accuracy of 84.3% compared to the other models.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128883315","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

Implementation of a Dual-Chamber Pacemaker for Low-Power Applications 用于低功耗应用的双腔起搏器的实现

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179677

Pavankumar Bikki, Yenduri Dhiraj, R.V.S Nivas Kumar

{"title":"Implementation of a Dual-Chamber Pacemaker for Low-Power Applications","authors":"Pavankumar Bikki, Yenduri Dhiraj, R.V.S Nivas Kumar","doi":"10.1109/ICECCT56650.2023.10179677","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179677","url":null,"abstract":"In this paper, a Dual Chamber Cardiac Pacemaker is implemented for various heartbeat ranges with the least amount of delay. For diseases like arrhythmia that are life-threatening, pacemakers are required. Maintaining the appropriate heart rate requires a minimum delay between sensing and pacing. The heart of the pacemaker, the timing control unit, the logic unit, and the sensing amplifier make up the pulse generator. The timing control unit and the logic unit make the decision to pace the heart based on the output of a sensing amplifier, thus achieving the demand pacing need. In addition, the VVI, DDD, and rate-responsive approaches of the pacemaker were designed using the VHDL structural approach, considering the pacemaker's timing cycles. The demand pacemaker functions in line with the heart rate of the arrhythmia-afflicted patient, and its range may vary between patients. For the proposed work, a beats-per-minute (bpm) range of 30 to 70 has been chosen. The outcome demonstrates that the proposed work is superior regarding latency, computational complexity, and cost.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121266911","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

Vedic Divider: A Novel Design for Deconvolution Algorithm based on Vedic Math 吠陀除法:一种基于吠陀数学的反卷积算法设计

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179813

K. Arun, P. Kalyani, Shaik Fouziya Samreen, Shereen

{"title":"Vedic Divider: A Novel Design for Deconvolution Algorithm based on Vedic Math","authors":"K. Arun, P. Kalyani, Shaik Fouziya Samreen, Shereen","doi":"10.1109/ICECCT56650.2023.10179813","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179813","url":null,"abstract":"Convolution and deconvolution are commonly employed in digital signal processing. Binary division is used in the field of digital image processing for image restoration, red-eye removal, and blur reduction via deconvolution operations. Long sequences must commonly undergo convolution and deconvolution comparable to DSP in many applications. The essential prerequisite for speed in any application is an increase in the speed of its fundamental building block. Both convolution and deconvolution have a central component known as a multiplier or divider. It is the most important component of the system, yet it is also the slowest and most time-consuming. Many approaches for increasing the multiplier and divider's speed have been explored, but the Vedic multiplier and divider are currently the focus of interest. Because it operates more swiftly and with less energy. In this work, the convolution and deconvolution modules are accelerated using Vedic multiplier and divider. Xilinx ISE 14.7 can be used to accomplish this division algorithm's operation. The suggested design is contrasted with current FPGA topologies, including the non-restoring division Algorithm and other Vedic Dividers (Paravartya Sutra, Nikhilam Sutra).","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116408572","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

Improvement in Synchronous Motor Speed Control System Using MPC Technique 用MPC技术改进同步电机调速系统

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179829

S. Sunori, M. Manu, P. Juneja

引用次数: 0

Designing a reliable and cost-effective Internet of Medical Things (IoMT) topology to minimize the maintenance and deployment cost 设计可靠且具有成本效益的医疗物联网(IoMT)拓扑，以最大限度地降低维护和部署成本

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179776

C. Raghavendra Rao, Grandhi Prasuna, Hari Kishan Chapala, N. Jeebaratnam, Durgaprasad Navulla, Ashish Verma

{"title":"Designing a reliable and cost-effective Internet of Medical Things (IoMT) topology to minimize the maintenance and deployment cost","authors":"C. Raghavendra Rao, Grandhi Prasuna, Hari Kishan Chapala, N. Jeebaratnam, Durgaprasad Navulla, Ashish Verma","doi":"10.1109/ICECCT56650.2023.10179776","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179776","url":null,"abstract":"The Internet of Things (IoT) can now be used to automate healthcare facilities and make patient data available for use at any time and from any location via the Internet. Healthcare-related data is now shared and accessed via the host-based Internet paradigm. Latency, mobility, and security issues are all exacerbated by its location-dependent nature. For the present host-based Internet paradigm, which is already in place, NDN has been promoted as the next Internet paradigm. The new species, unfortunately, lacks a stable healthcare system. A lightweight certificate less (CLC) signature is used to build an NDN-IoMT framework in this paper. We employ the Hyper elliptic Curve Cryptosystem (HCC) since it is cheaper than the Elliptic Curve Cryptosystem, which provides higher security with a smaller key (ECC). In addition, we use AVISPA to verify the proposed scheme's safety. In order to determine the most cost-effective solution, we look at existing certificate less signature methods. Results reveal that our proposed method utilizes very little network resources. Finally, we put the architecture into action on NDN-IoMT.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132282655","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

Static Voltage Stabilizer Using Modified SPWM Technique Controlled AC Chopper 基于改进SPWM技术控制交流斩波器的静态稳压器

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179794

Sagar Sanjay Rochwani, Siddharthsingh K. Chauhan, P. N. Tekwani

引用次数: 0

Possibilities of Edge Repetition using Double Mean Labeling 使用双均值标记的边缘重复的可能性

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179740

Nandhini M, M. V, V. Balaji

引用次数: 0

Artificial Neural Networks Model for Predicting the Strength of FRP-Contained Concrete frp混凝土强度预测的人工神经网络模型

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179684

Merrisha John

{"title":"Artificial Neural Networks Model for Predicting the Strength of FRP-Contained Concrete","authors":"Merrisha John","doi":"10.1109/ICECCT56650.2023.10179684","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179684","url":null,"abstract":"Numerous studies have demonstrated that FRP (Fibre-reinforced Polymer) can significantly increase the strength of concrete columns. Numerous mathematical equations and manual methods are available for predicting the strength of concrete columns composed of FRP, all of which are time-consuming tasks. This present study develops a novel computerized method for determining the axial strain and axial strength of FRP (Fibre-reinforced Polymer)-confined concrete columns utilizing real-time experimental data and artificial neural networks (ANNs). In order to increase prediction accuracy, an ANN model is trained and evaluated using experimental data collected in real-time. Additionally, advanced pre-processing techniques are applied in this study to minimize noise and enhance the prediction accuracy of the suggested ANN model. To demonstrate the efficacy of this proposed strategy, this model is trained and verified using the data set. The experimental outcomes from training and validation have been compared to recent methods. It is evident from the comparison results that the proposed method has reduced MAE, RSME and regression values.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131842540","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

Machine Learning Enabled Traffic Sign Detection System 机器学习交通标志检测系统

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179845

K. Rajaram, M. N. V. Kumar, C. Nageswari, S. Rajan, C. M. Rubesh

{"title":"Machine Learning Enabled Traffic Sign Detection System","authors":"K. Rajaram, M. N. V. Kumar, C. Nageswari, S. Rajan, C. M. Rubesh","doi":"10.1109/ICECCT56650.2023.10179845","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179845","url":null,"abstract":"The Traffic Sign Detection system is a component of an advanced driver assist system that notifies and prompts the driver regarding traffic signals and boards in front. An well organized concurrent signal detection and warning structure are presented to assist better with the existing Intelligent Transport System (ITS) and to improve the safety systems for the identification of regulatory indicators. On-board cameras record real-time video and are associated with a computing device for further processing. The process includes image framing which is blurred and distorted with Gaussian noise because of the movement of the vehicle and ambient disturbances. Hence the input image is enhanced using the median filter and nonlinear Lucy-Richardson for deconvolution. This algorithm is best suited for implementation due to its efficiency in providing an optimal and effective graded output of the processed image. Colour segmentation is performed using Y CbCr colour spacing following shape filtering algorithms using template matching. Then, using processed colour-corrected samples, the required sign is extracted as colour and shape from processed photos, allowing the sign to be distinguished from its foreground and background. The role of the classification module is to find the category of noticed traffic indications captured utilizing Multilayer Perceptron neural systems. Compared to other available systems, the proposed system outshines in every aspect treated to obtain the optimum output. The proposed method is one of the major applications of machine learning which uses Lucy-Richardson and the colour segmenting process. The developed system is implemented efficiently and results close to proximity are obtained.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134137742","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

A Delay Compensation Approach for IoT-Enabled Networks with Different Control Strategies 基于不同控制策略的物联网网络延迟补偿方法

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2023-02-22 DOI: 10.1109/ICECCT56650.2023.10179610

Padmaja Mishra, Rajesh Kumar Patjoshi, A. Yadav

{"title":"A Delay Compensation Approach for IoT-Enabled Networks with Different Control Strategies","authors":"Padmaja Mishra, Rajesh Kumar Patjoshi, A. Yadav","doi":"10.1109/ICECCT56650.2023.10179610","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179610","url":null,"abstract":"The Internet of things (IoT) becomes a new era for the imminent industry to provide an intelligent environment to control systems in real-time. Considerably, for accomplishing the delay analysis in the IoT system, it is necessary to consider the appropriate control system for the precise identification of IoT terminals and the efficient regulation of their access to the network. Therefore, the study considers about different control strategies such as PID (proportional integral derivative) $2^{text{nd}}$ process of Ziegler's Nichols, and PID Pole placement technique for finding the critical delay values under an IoT network environment. The control system is designed by considering different network constraints. Based on the network constraints and the controllers, a significant model is designed for calculating the maximum delay concerning sensor and controller along with controller and things. The controllers are premeditated using the transfer function of the particular plant i.e thing. The planned method designed here is to come across the value of delay via different design techniques using a PID controller. Finally, simulation results confirm the effectiveness of the proposed controller under MATLAB/Simulink environment.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133249182","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