2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)最新文献_第8页

Design of an Early Warning Intelligent Model for Enterprise Industrial and Commercial Crisis based on Multi-Dimensional Computing Data Outlier Analysis 基于多维计算数据离群分析的企业工商危机预警智能模型设计

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951977

Tongwei Ling

引用次数: 0

An AI Tool for Emergency Medical Assistance system 一种紧急医疗救助系统的人工智能工具

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951990

P. Vinayagam, A. Hameem Irfana, K. Sireesha, N. Tabassum Fathima, K. Tanuja

{"title":"An AI Tool for Emergency Medical Assistance system","authors":"P. Vinayagam, A. Hameem Irfana, K. Sireesha, N. Tabassum Fathima, K. Tanuja","doi":"10.1109/ICOSEC54921.2022.9951990","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951990","url":null,"abstract":"This research work attempts to check the medical condition of human beings by incorporating a smart medical assistance center in public places such as pharmacies, shopping centers, transportation route stations, interstate highways, and areas, where clinical stores are limited. The major advantage of the proposed type of medical assistance model is that the people would be able to recognize their current health condition. Based on these findings, the developed machine recommends the medicine to the user’s registered mobile number. Today, with the increased availability of internet and other connectivity resources, people are frequently facing side effects without consulting with a Medical Practitioner. They basically self-medicate themselves, which either has no effect on the body or has too many consequences on the body causing early/unpredictable death(s). The main challenge or disadvantage of self-mediation is that even after the recovery, the individuals begin using that medication for the rest of their lives or the continuous unknown side effects can lead to unexpected health issues. To address this issue, this research study works on a Proof-of-concept approach, which will assist in proposing a useful medical assistance.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115700837","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

Identification of Malignant Attributes in Breast Ultrasound using a Fully Convolutional Deep Learning Network and Semantic Segmentation 基于全卷积深度学习网络和语义分割的乳腺超声恶性属性识别

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952130

S. Ahila, M. Geetha, S. Ramesh, C. Senthilkumar, N. P

{"title":"Identification of Malignant Attributes in Breast Ultrasound using a Fully Convolutional Deep Learning Network and Semantic Segmentation","authors":"S. Ahila, M. Geetha, S. Ramesh, C. Senthilkumar, N. P","doi":"10.1109/ICOSEC54921.2022.9952130","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952130","url":null,"abstract":"Breast ultrasonography is a non-radiation imaging technology that is used to detect and categorize breast malignancies. Individuals have a minimal prevalence of adverse symptoms to it, and it is simple to incorporate therapeutic procedures. The proposed study has used a fully convolutional deep learning network to extract features from breast ultrasound images in order to identify different characteristics of breast imaging and data system terminology. This in turn simplify the procedure of categorizing tumors as benign or malignant. Using the BI-RADS vocabulary, 378 breast ultrasound images are analyzed and from that seven potentially cancerous characteristics are discovered. The mean accuracy and mean IU for the feature extraction are 32.82% and 28.88% respectively. Both the area under the curve and the normalized interconnection over union were observed to be higher than the results obtained by the equivalent feature extraction connections such as SegNet and U-Net by using the same range of data. The area under ROC curve has been 89.47% as well as the graded interconnection placed above a white confederation was 85.35%. By utilizing the ultrasonography to screen for breast cancer, the proposed research study suggests that it would be beneficial to make use of a deep learning network in conjunction with the BI-RADS terminology as a substantial supplementary diagnostic tool.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114308577","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

The Commonalities in Social Engineering Attacks through E-Commerce Shopping Platforms & Online Gaming Programs 通过电子商务购物平台和在线游戏程序进行社会工程攻击的共性

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951970

Jasiel Garcia, Paul Oburu, Shajina Anand

{"title":"The Commonalities in Social Engineering Attacks through E-Commerce Shopping Platforms & Online Gaming Programs","authors":"Jasiel Garcia, Paul Oburu, Shajina Anand","doi":"10.1109/ICOSEC54921.2022.9951970","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951970","url":null,"abstract":"After the pandemic, the usage of internet and remote working is on the rise, and the malicious users have also increased. Many users are getting affected by social engineering attacks every day. Social engineering is the practice of gathering personal information from individuals by deceiving them. There are multiple ways in which malicious users can perform social engineering attacks, with approaches like phishing, baiting, pretexting, etc. The gamut of social engineering attacks spreads across anything online i.e., it could be a shopping website, online gaming network, enterprise mailing platform, etc. How to take preventive action against such attacks is very important. In this paper, two user groups are considered - online gamers and shoppers, and their vulnerability to such attacks. The social interactions and psychological factors of online gamers which make them vulnerable to social engineering threats are reviewed. This paper covers extensive secondary research and analysis, on the different types of social engineering attacks and the psychological factors making an individual vulnerable to such social engineering attacks. Few studies have analyzed the behaviors and relationships of gamers and their online interactions as well. This work also examines different preventive action tools that malicious attackers typically use. This study provides a framework for different types of social engineering attacks on online gamers, psychological and behavioral patterns that make them vulnerable, and what preventive actions/tools can be leveraged.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115323193","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

Environmental Sensor Network Construction and Real-Time Monitoring System for Rural Environmental Pollution Control 面向农村环境污染治理的环境传感器网络建设与实时监测系统

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952030

Li Zhou

引用次数: 1

Energy Efficient High Performance Adder/Subtractor Circuits 高效节能的高性能加/减电路

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952136

G. Ramesh, P. Manikandan, P. Naveen, M. Saravanan, S. R. Ashok Kumar, C. Swedheetha

引用次数: 1

Satellite Image Dehazing Using Fast Iterative Domain Gaussian Guided Image Filtering 基于快速迭代域高斯制导图像滤波的卫星图像去雾

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951947

N. U. Kumar, Nakka Shivakumar, S. Bachu

{"title":"Satellite Image Dehazing Using Fast Iterative Domain Gaussian Guided Image Filtering","authors":"N. U. Kumar, Nakka Shivakumar, S. Bachu","doi":"10.1109/ICOSEC54921.2022.9951947","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951947","url":null,"abstract":"In general, satellite images are foggy due to factors such as noise, snow, thin cloud, dust, and so on, resulting in image contrast reduction. Dehazing is described as the elimination of noise or ambient contaminants from a image in order to improve image quality. However, most state-of-the-art technologies failed to completely eliminate atmospheric influences and noise from satellite images. To address this issue, this study focuses on the creation of a grey world optimization method for the correct estimate of satellite atmospheric light. The study also creates a unique technique for estimating and refining dark channel prior-based transmission maps at the pixel and patch levels. As a consequence, every pixel-based patch contains information about how satellite atmospheric effects were addressed. The fast iterative domain gaussian guided image filtering (FID-GGIF) method was created to provide output that is smooth with dehazing properties. According to the simulation results, the suggested study beats cutting-edge approaches in terms of both quantitative and qualitative results","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126151685","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

Adversary Distributed Time Series Routing Protocol for Improving the Performance of Linkage Data Collection in WSN 提高WSN中联动数据采集性能的敌对分布式时间序列路由协议

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952155

J. Abinesh, M. Prakash

{"title":"Adversary Distributed Time Series Routing Protocol for Improving the Performance of Linkage Data Collection in WSN","authors":"J. Abinesh, M. Prakash","doi":"10.1109/ICOSEC54921.2022.9952155","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952155","url":null,"abstract":"A Wireless Sensor Network (WSN) is a network of devices that transfer all the data collected from the monitoring area via a wireless connection. Data is transmitted over multiple nodes, and the portal connects the nodes to other networks. The sensor collects the data and relays it to the receiver in a single-hop or multi-hop path. WSN with mobile receivers can help prevent hotspot issues and extend the network’s life. Sink nodes can have an important impact on network performance. As the energy capacity of each sensor is low, it is important to improve the receiver location routing. Nonetheless, the mobile sink node cannot change the routing optimally due to less energy and transmission speed constraints. Efficient data transmission is the main problem in Wireless Sensor Networks (WSNs). Due to poor data transmission, the packet delivery ratio, throughput, and network lifetime are minimized, and the packet drop ratio performance is increased. To address these issues, an Adversary Distributed Time Series Routing Protocol (ADTSR) is proposed for efficient data transfer. The proposed algorithm first analyses the node’s current location and then investigates the sink and relay nodes for data transfer. The proposed algorithm efficiently improves performance parameters, namely Packet delivery ratio, throughput, and network lifetime and then minimizes the packet drop ratio than previous methods.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129749855","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

Application of Hybrid Parallel Cloud Architecture in Java+Oracle Implementation of Enterprise Management Innovation 混合并行云架构在Java+Oracle中的应用实现企业管理创新

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952058

Wei Song

引用次数: 0

Design and Java Implementation of Intelligent Platform for English Training based on Intelligent Test Data Generation Algorithm 基于智能测试数据生成算法的智能英语培训平台的设计与Java实现

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951882

Fenghua Tang

引用次数: 0