2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)最新文献_第7页

Non-Linear Controller Based 3– ϕ Shunt Active Filter for Improvement of Power Quality in Non-Linear Load 基于3 - φ并联有源滤波器的非线性控制器改善非线性负载的电能质量

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099957

G. Satish, R. K., D. B, J. K., S. Chaudhary, Neha Singh

引用次数: 0

An Innovation Development of Document Management and Security Model for Commercial Database Handling Systems 商业数据库处理系统文档管理与安全模型的创新发展

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099732

Rajat Singh, Pallavi Gildhiyal

引用次数: 0

The Task based Human Resource Control and Management Model using AI based Deep Learning Model 基于人工智能的深度学习模型的任务型人力资源控制与管理模型

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099558

Sunil Gildhiyal, Rajendra Prasad

{"title":"The Task based Human Resource Control and Management Model using AI based Deep Learning Model","authors":"Sunil Gildhiyal, Rajendra Prasad","doi":"10.1109/ICICACS57338.2023.10099558","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099558","url":null,"abstract":"Human resource, material and money together make a business. Human resource plays a huge role in making a business rise or fall. Good people make good companies. Large companies have large portfolios for monitoring and improving human resources. Today, HR officers hold the most important responsibilities in their respective organizations. The importance of human resources in today's world of intellectual work is increasing day by day. In this paper, a task based human resource control and management model has proposed using AI based deep learning model. Human resource management is a task that is required in all organizations that can perform all kinds of tasks. There are jobs for HR department in all the organizations irrespective of whether they are government organizations or private organizations. Therefore, it is very important for you, the youth, to acquire the education to work in the HR sector and develop the skills for that. That is, when every employee in the organization develops, the entire organization moves towards massive development. Although every organization wants to achieve this level, this human resource development has to face some challenges.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115439486","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: 1

An Improved Hierarchal Agglomerative Grouping Process and Bi-Objective Fusion Optimization Process for Optimum Source Detection 一种改进的层次聚集分组过程和双目标融合优化过程用于最优源检测

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099663

D. Srinivas, J. N, T. Raghavendra Gupta, G. Shivakanth, N. Samanvita

{"title":"An Improved Hierarchal Agglomerative Grouping Process and Bi-Objective Fusion Optimization Process for Optimum Source Detection","authors":"D. Srinivas, J. N, T. Raghavendra Gupta, G. Shivakanth, N. Samanvita","doi":"10.1109/ICICACS57338.2023.10099663","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099663","url":null,"abstract":"Computing in the cloud refers to a model that offers inexpensive, scalable computing resources like CPU, storage, and network bandwidth. Allows users to access a shared pool of resources via the internet on an as-needed, pay-per-use basis. In order to organize tools, this chapter suggests using the Hierarchical Agglomerative clustering algorithm. The time spent searching through a pool of available resources can be minimized by categorizing them. Thanks to the categorization of resources, the one needed to fulfill a request can be found and assigned in a flash. The following outline is used for this section. The paper explains the rationale behind the proposed approach and details the resource discovery method that underpins it. Describes and evaluates the proposed system's performance by utilizing a hybrid of the artificial bee colony (ABC) algorithm and the cuckoo search (CS) algorithm to allocate resources to requests. There are many issues with efficient resource allocation that cannot be solved using current methods. The existing research work identified and tackled the problem of optimizing the parameters (make span, execution time, deadline, execution cost, etc.) using optimization algorithms. However, most existing algorithms require more time to allocate resources because of the vast number of resources available in the cloud. The process also depends on the efficiency of the underlying optimization algorithm.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123212280","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

Total Factor Productivity of Logistics Industry Based on DEA-Malmquist Index Model 基于DEA-Malmquist指数模型的物流业全要素生产率研究

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10100126

Ya-Zhe Huang, P. Yang

引用次数: 0

Design of Whole Life Cycle Protection Framework for Financial Consumer Information 金融消费者信息全生命周期保护框架设计

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099862

Jinting Zhao

引用次数: 0

Improving The Hiding Capacity of Image Steganography with Stego-Analysis 用隐写分析提高图像隐写的隐藏能力

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10100146

Padmaja Grandhe, A. Reddy, Kavyasri Chillapalli, Kavya Koppera, Manasa Thambabathula, L. P. Reddy Surasani

{"title":"Improving The Hiding Capacity of Image Steganography with Stego-Analysis","authors":"Padmaja Grandhe, A. Reddy, Kavyasri Chillapalli, Kavya Koppera, Manasa Thambabathula, L. P. Reddy Surasani","doi":"10.1109/ICICACS57338.2023.10100146","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10100146","url":null,"abstract":"Communicating online without fearing third-party interventions is becoming a challenge in the modern world. Especially the sectors like the military, and government organizations or private companies sharing sensitive information. They invest a lot of effort and cost into obtaining the advancement of safe communication techniques. Image processing encryption techniques using various algorithms promote security over communication channels and using different analysis methods make the tool stand out in providing security to the information. In today's world, there are various steganographic mechanisms that convert the secret message into stego medium and send it across various communication channels. Using algorithms like Blind Hide promotes the security of the message along with using multiple analysis methods that will further improve the tool in giving out information of encoded accuracy, size of stego of the secret message. The aim is to generate a tool that will give out a benchmark value of how precisely the message is stored in the cover file. Using Stego and bulk analysis the information about the presence of the stego medium in the message can be known to the user. All these analysis methods make the tool more enhanced and secure.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121930021","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: 1

Research on Comprehensive Benefit Evaluation of Electricity Substitution Based on the Combined Weights Method and Matter Element Extension Model 基于组合权重法和物元可拓模型的电力替代综合效益评价研究

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099641

Jun Oiu, Y. Zhong, Kailiang Ge, Leijie He, Tao Zeng, Weniie Ma

引用次数: 0

Fake News Detection Using Neural Network 基于神经网络的假新闻检测

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10100208

Ushashree P, A. Naik, Siddarth Gurav, Ankit Kumar, Chethan S R, Madhumala B S

引用次数: 1

U-Net based Segmentation and Transfer Learning Based-Classification for Diabetic-Retinopathy Diagnosis 基于U-Net分割和迁移学习的糖尿病视网膜病变诊断分类

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099813

B. Parameshachari, B. Nalini, H. M. LeenaShruthi, Padmavathi Diggi

{"title":"U-Net based Segmentation and Transfer Learning Based-Classification for Diabetic-Retinopathy Diagnosis","authors":"B. Parameshachari, B. Nalini, H. M. LeenaShruthi, Padmavathi Diggi","doi":"10.1109/ICICACS57338.2023.10099813","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099813","url":null,"abstract":"Diabetic retinopathy (DR) diagnostic automation using AI is becoming more common. Diseases affecting the blood vessels in the retina, such as those produced by diabetes, are a primary cause of sightlessness and visual impairment worldwide. As a result, early screening and treatment of DR would benefit substantially from automated DR detection systems, preventing visual loss caused by DR. Over the last several years, many methods for identifying anomalies in retinal pictures have been presented by researchers. Traditional automated approaches for detecting diabetic retinopathy relied on manually extracted features from retinal pictures and a classifier for final classification. Diabetic retinopathy may be detected and classified in fundus pictures with the help of a deep learning approach suggested in this study. In this method, the network makes a prediction depending on the quality of the dataset it was trained on. In the first stage, OD (eye) and BV (blood vessel) segmentation are performed using separate U-Net models. The second stage involves applying transfer learning to the deep learning models in order to fine-tune them for improved performance in both the training and validation phases. We use partial data augmentation methods to evenly expand our training dataset. Compared to the sum of the separate models, the suggested weighted classifier performs the best. Additionally, the model is evaluated using the open-access dataset, which consists of 3662 pictures. The APTOS 2019 dataset served as the basis for the five groups. The suggested technique significantly recovers the presentation of DR detection for fundus pictures as assessed by a number of different metrics and compared to current methods to DR identification.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122648887","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