2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)最新文献

Energy Consumption Minimization in Cognitive Radio Mobile Ad-Hoc Networks using Enriched Ad-hoc On-demand Distance Vector Protocol 基于增强自组织按需距离矢量协议的认知无线移动自组织网络能量消耗最小化

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9752899

J. Ramkumar, C. Kumuthini, B. Narasimhan, S. Boopalan

{"title":"Energy Consumption Minimization in Cognitive Radio Mobile Ad-Hoc Networks using Enriched Ad-hoc On-demand Distance Vector Protocol","authors":"J. Ramkumar, C. Kumuthini, B. Narasimhan, S. Boopalan","doi":"10.1109/ICACTA54488.2022.9752899","DOIUrl":"https://doi.org/10.1109/ICACTA54488.2022.9752899","url":null,"abstract":"Ad-hoc networks with poor routing affects the complete network and it leads to enhanced delay in delivering the packets to destination and consumption of energy in an exhaustive manner. Significant task of CR-MANET is to find a better route which consumes less delay and energy. This paper proposes an enriched version of ad-hoc on-demand distance vector (EAODV) routing protocol to meet the challenges faced in CR-MANET. EAODV involves four different phases which are route request method, updating the routing table, route request on demand and route lifetime. These four phases help EAODV to avoid congestion and discover better route to destination. EAODV is intended to locate the best alternative route in a short period of time amid route failure by dynamically selecting the optimal route. Before sending the packets, EAODV evaluates the selected routes using the residual energy of nodes in the path. If it is not satisfied, then next best route is selected. Efficiency of EAODV is demonstrated by a comprehensive simulation and it got resulted in better outcomes in terms of minimizing delay and energy consumption.","PeriodicalId":345370,"journal":{"name":"2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122500689","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: 17

Enhanced Framework for Semantic Segmentation of Agricultural Products 改进的农产品语义分割框架

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9753597

Ishani Mishra, S. L., Umadevi, D. M, N. Prasanna, Manisha Prem

引用次数: 0

Multispectral Satellite Image Segmentation Using Improved Bat Algorithm 基于改进Bat算法的多光谱卫星图像分割

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9753341

M. Sujaritha, M. Kavitha, S. Shunmugapriya, R. S. Vikram, C. Somasundaram, R. Yogeshwaran

{"title":"Multispectral Satellite Image Segmentation Using Improved Bat Algorithm","authors":"M. Sujaritha, M. Kavitha, S. Shunmugapriya, R. S. Vikram, C. Somasundaram, R. Yogeshwaran","doi":"10.1109/ICACTA54488.2022.9753341","DOIUrl":"https://doi.org/10.1109/ICACTA54488.2022.9753341","url":null,"abstract":"This paper is mainly intended to use Bat Algorithm (BA) – based clustering approach for classifying multispectral satellite images. This clustering algorithm provides the partitions that are both bound and self-determined. But the drawbacks of traditional K-means algorithm are: i) it converges easily to a local optimum and ii) identifying the number of optimal clusters is a challenging task. The researchers have tried to unravel these issues by initializing the cluster centers from a priori information. In this paper, we have tried to solve the issues of traditional k-means algorithm by applying the bat algorithm on it. The proposed modified bat algorithm is used to segment the satellite images and extract the useful information from it. In the proposed algorithm, clusters with minimum inter-cluster distance and lesser than the given threshold are identified and merged. This process is repeated till all the inter-cluster distances are greater than the given threshold. The enhancement in the performance of the proposed improved bat algorithm is evident in the experimental results.","PeriodicalId":345370,"journal":{"name":"2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131127266","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

Deep Classification of Fundus Images Using Semi Supervised GAN 基于半监督GAN的眼底图像深度分类

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9752893

C. Gobinath, M. P. Gopinath

引用次数: 0

A Detailed Approach on Vehicle Accident Recognition and Remote Alarm Device 车辆事故识别与远程报警装置的详细研究

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9753270

R. Paulraj, S. B. V., G. V. Vardhan, K. S. Pradeep, K. Hemanth, G. B. Reddy

{"title":"A Detailed Approach on Vehicle Accident Recognition and Remote Alarm Device","authors":"R. Paulraj, S. B. V., G. V. Vardhan, K. S. Pradeep, K. Hemanth, G. B. Reddy","doi":"10.1109/ICACTA54488.2022.9753270","DOIUrl":"https://doi.org/10.1109/ICACTA54488.2022.9753270","url":null,"abstract":"Our lives has become simpler with Quick gradual addition of innovation and framework. Approach of innovation has additionally risen traffic dangers and street Mishap occur over and over which causes gigantic death toll and property due to the helpless crisis offices. As of late, astute transportation frameworks ITS have arisen as a productive method of further developing understanding of transportation frameworks and improving travel wellbeing. Mishap location frameworks are one of the best ITS apparatuses. The Mishap distinguished framework is based on Global Positioning System GPS and Global System for Mobile correspondence GSM can be achieved with one or few sensors, the framework can accumulate data and directions of Mishap spot then, at that point, send this information to salvages administrations focus over an organization interface in most brief time, it addressed as an occurrence making a difference framework. In this paper, we have proposed a clever framework that made out of a GPS collector, Vibration sensor, GSM Modem and incorporated with Vehicular AD-Hoc Network VANET. The utilization of VANET by improved Ad hoc On-Demand Distance Vector convention AODV helps these administrations in tracking down the ideal course to the crisis message. The utilization of GSM, GPS, and VANET innovations permits the framework to follow vehicle and gives the most moment.","PeriodicalId":345370,"journal":{"name":"2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115546751","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: 3

Secure and Efficient Modified Dynamic Partition Routing Algorithm for Mobile Ad Hoc Networks 移动Ad Hoc网络安全高效的改进动态分区路由算法

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9753553

V. Ramya, N. Kousika, P. Rajasekaran, Vijeyakaveri. V, J. Jaganpradeep

引用次数: 0

A Standalone Application for Effective Education 有效教育的独立应用程序

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9752978

K. P., Theophila Vaiz R, P. S, Roshan Ram R

{"title":"A Standalone Application for Effective Education","authors":"K. P., Theophila Vaiz R, P. S, Roshan Ram R","doi":"10.1109/ICACTA54488.2022.9752978","DOIUrl":"https://doi.org/10.1109/ICACTA54488.2022.9752978","url":null,"abstract":"The idea of this paper is to propose a solution to the challenges that students and instructors in the institution are experiencing as a result of this epidemic. Discovering and manipulating new ideas and concepts of online education is evolving at a rapid pace as the world develops with new technologies. To establish a vibrant, educational and supportive alumni network Student companion is developed. Student companion is an online classroom tool where students may communicate with one another, see presentations and engage with the resources in the tool. The student companion tool makes it simple for students and instructors to connect both within and outside the classroom. Student companion helps to establish courses, distribute assignments, interact and remain organized while saving paper and time. Student companion tool ensures that alumni are treated as important stakeholders by involving them in activities such as video conferencing to clear doubts, various study materials based on industrial needs, seminars, webinars for placements, higher education, mentorship for their projects and hackathons. The desired learning and mentorship take place not just in the classroom, but also outside of it, because students can access Student companion tool online from anywhere and at any time.","PeriodicalId":345370,"journal":{"name":"2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)","volume":"148 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120871404","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

About the Accuracy and Relevance of Deep Learning in a Challenging MRI-Image Classification Problem 关于深度学习在一个具有挑战性的mri图像分类问题中的准确性和相关性

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9753357

M. Hannula

{"title":"About the Accuracy and Relevance of Deep Learning in a Challenging MRI-Image Classification Problem","authors":"M. Hannula","doi":"10.1109/ICACTA54488.2022.9753357","DOIUrl":"https://doi.org/10.1109/ICACTA54488.2022.9753357","url":null,"abstract":"In this study a challenging binary classification was done with a large (>100GB, hundreds of subjects in total) annotated MRI-dataset in public a competition between over thousand teams with their proposals for the problem. For the classification an advanced deep neural network consisting of tailored structural elements having capabilities for detecting small abstract level features from the image data was developed and tested. The resulted ROC was 0,74 in the test data ($mathrm{N}=87$) and 0,55 in the extended test data phase; the results were among other proposals (>1000 solutions) in the top 5-25%, correspondingly. The relevance and accuracy of the solution was discussed including a specific finding about interesting differences in the classification performance between the data from different types of MRI-scans, being in line with other independent research findings. This may indicate the results of the deep neural network provide some additional value about the presence of MGMT. However, in general level the topic is still open and requires further studies to achieve a better understanding.","PeriodicalId":345370,"journal":{"name":"2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128371827","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

Inter-Vehicle Communication with Improved Security 提高安全性的车辆间通信

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9753195

Babu M, R. R., N. V, Mohanambikai A, Monikadevi A, L. S

引用次数: 1

Analysis of Parameterless Particle Swarm Algorithm for Traveling Salesman Problem 旅行商问题的无参数粒子群算法分析

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9753618

C. Bagavathi, S. Padmapriya, H. Mangalam

引用次数: 0