2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)最新文献_第6页

A State of Art Approaches on Deep Learning Models in Healthcare: An Application Perspective 医疗保健领域深度学习模型的最新进展:应用视角

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862730

K. Yazhini, D. Loganathan

引用次数: 8

Sorted Round Robin Algorithm 排序轮循算法

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862609

R. Srujana, Y. Mohana Roopa, M. Datta Sai Krishna Mohan

引用次数: 3

Impacts of PCA on Face Recognition System 主成分分析对人脸识别系统的影响

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862624

S. Bai, D. Latha

引用次数: 1

A Novel Approach for Clickbait Detection 标题党检测的新方法

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862781

Sarjak Chawda, Aditi Patil, Abhishek Singh, Ashwini M. Save

引用次数: 11

Development Of A Scalable Coding For The Encryption Of Images Using Block Truncation Code 基于块截断码的可扩展图像加密编码的发展

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862525

P.Jeya Bright, G. Vishnuvarthanan

{"title":"Development Of A Scalable Coding For The Encryption Of Images Using Block Truncation Code","authors":"P.Jeya Bright, G. Vishnuvarthanan","doi":"10.1109/ICOEI.2019.8862525","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862525","url":null,"abstract":"In today's technology, especially in Lossy Compression image reconstruction which is identical to the original image transmitted is highly unattainable, protection of digital data between buyer and seller especially from intruders and hackers which requires encryption and also to save space and increase speedy transmission which requires image compression has arisen as an important factor of research. This paper proposes a most efficient way of encrypting, compressing and recovering the original image at the receiver side with high PSNR value. The input image is encrypted by using the pseudo random number and compressed using Block Truncation Coding(BTC). The images are transmitted more securely using pseudo random number, which acts as a secret key and it is shared between sender and receiver. The original gray level pixel value is compressed using Block Truncation Coding(BTC). The encrypted image is obtained by adding compressed BTC pixel value with pseudo random number value and then transmitted. At the receiver side, the decryption process is done to recover the compressed pixel value and original image is reconstructed using BTC.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127255401","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: 6

Design and Advancement of Firefighting Robot using Direction Control Model 基于方向控制模型的消防机器人设计与改进

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862516

S. Teja, L. Sujihelen

引用次数: 1

Area Efficient VLSI Architecture for Reversible Radix-2 FFT Algorithm using Folding Technique and Reversible Gate 基于折叠技术和可逆门的可逆基数-2 FFT算法的面积高效VLSI结构

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862628

Veenal Lalwani, Soheb Munir

引用次数: 2

Smart Mirror using Raspberry Pi as a Security and Vigilance System 智能镜子使用树莓派作为安全和警戒系统

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862537

Raju A. Nadaf, Vasudha M. Bonal

{"title":"Smart Mirror using Raspberry Pi as a Security and Vigilance System","authors":"Raju A. Nadaf, Vasudha M. Bonal","doi":"10.1109/ICOEI.2019.8862537","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862537","url":null,"abstract":"The present generation devices are built with smart capabilities. The intelligence is embedded in them to act wise in deployed environment. Mirrors are basically used in home for the purpose of grooming up or getting ready for the day. The same mirrors can be made to behave Smart to provide Security and Vigilance in deployed environment. Smart mirror is a system that not only works as a normal mirror but also provides Security against intrusion inside the home. The proposed system is designed using Raspberry Pi, Camera, Raspberry Pi compatible touch screen and microphone as hardware components and Python for programming. The proposed system can accept 3 modes of input commands namely Voice, Touch and Mobile commands. The Smart mirror can be used as a security system against the Intrusion in home. The Yolo Technique with OpenCV for object detection is used for detection of Intrusion of Human. The Yolo (You Only Look Once) is a Machine Learning concept for the detection of objects. The Yolo is an optimized technique as it looks image only once as compared to other image processing techniques, hence work faster. The Video is converted to frames and the frames are given as input to the Raspberry Pi. The Python programming is used along-with the Yolo technique with OpenCV to detect objects. As soon as the intrusion is confirmed, the administrator of the Smart Mirror will be sent an alert E-mail along-with the photo of an intruder and the details are stored in the storage device. The voice and Touch screen commands can be used whenever an administrator/owner is in front of the mirror. The mobile based controls can be used when the administrator/owner of the mirror is away from the mirror. The basic theme of the proposed model is that, to make use of household devices for providing security.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114230375","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: 10

An Object Tracking Algorithm Based on Motion-Tuned Continuous Wavelet Transform 一种基于运动调谐连续小波变换的目标跟踪算法

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862614

S. Sajikumar, A. Anilkumar

引用次数: 0

Smart Disaster Management and Prevention using Reinforcement Learning in IoT Environment 在物联网环境中使用强化学习的智能灾害管理和预防

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862602

Yogesh S Lonkar, Abhinav Bhagat, Sd Aasif Sd Manjur

{"title":"Smart Disaster Management and Prevention using Reinforcement Learning in IoT Environment","authors":"Yogesh S Lonkar, Abhinav Bhagat, Sd Aasif Sd Manjur","doi":"10.1109/ICOEI.2019.8862602","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862602","url":null,"abstract":"At starting of the Internet of Things (IoT), it is passing around a world, in which diverse kinds of different objects are there connected to the Internet. It contains the use of smart phones, sensors, cameras, and other devices to make over the actions of people and things into data and link it to the Internet. With its capability to model the real world in digital form and accomplish scrutiny and replication in cyberspace, the IoT is able to reveal new value at an unparalleled rate and deliver it as response to the real world. This is set to convey main changes that will lengthen to the structure of industry in addition to the infrastructure of society itself. Therefore although the occurrence of the IoT contributes rise to new value, it besides means the occurrence of new threats. The proposed work covenant with disaster management as well as prevention to manufacturing industry using IoT. System first investigates the threat scenario during general execution of work, and finds the critical situations. The system processes learning approach for identifying such critical situations and execute the output appliances. System utilized multiple input along with output sensor for experiment. The Q-Learning approach has used for updating the policy which can provide the best result with high accuracy.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133630294","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: 6