2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)最新文献_第8页

Automatic number plate recognition system for vehicle identification 自动车牌识别系统，用于车辆识别

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2017-12-01 DOI: 10.1109/ICEECCOT.2017.8284543

P. Patil, C. Kanagasabapathi, S. Yellampalli

{"title":"Automatic number plate recognition system for vehicle identification","authors":"P. Patil, C. Kanagasabapathi, S. Yellampalli","doi":"10.1109/ICEECCOT.2017.8284543","DOIUrl":"https://doi.org/10.1109/ICEECCOT.2017.8284543","url":null,"abstract":"The proposed system will be designed as for the automatic vehicle identification for the security purpose. The number plate of the vehicle is identified by image identification technology. This system can be implemented for the security checking in the area of the parliament and defence military area and also used in the toll plaza, parking fee collection etc. The images of the vehicles will be captured by cameras and those captured images will be processed by MAT LAB. Here the MaTLAB is used for the image identification and vehicle number extraction. The system contains embedded section for the automatic control of the gate and communication purpose. A LCD screen will be provided at the entry of the gate to gives the instruction to the driver and whether he is permitted to this area or not and the message will be passed to security cabin. The communication between MATLAB and microcontroller is done by using Zigbee. We can also extend to get the information of the vehicle owner, by incorporating the RTO database. The embedded section is programmed by using embedded c.","PeriodicalId":439156,"journal":{"name":"2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127670027","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: 14

Edge preserving image enhancement using median absolute deviation and iterative median absolute deviation 基于中值绝对偏差和迭代中值绝对偏差的图像边缘保持增强

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2017-12-01 DOI: 10.1109/ICEECCOT.2017.8284668

Shivaprasad, C. D’souza, P. Vinay

{"title":"Edge preserving image enhancement using median absolute deviation and iterative median absolute deviation","authors":"Shivaprasad, C. D’souza, P. Vinay","doi":"10.1109/ICEECCOT.2017.8284668","DOIUrl":"https://doi.org/10.1109/ICEECCOT.2017.8284668","url":null,"abstract":"The aim of image enhancement is to produce a processed image which is more suitable than the original image for specific application. Application can be edge detection, boundary detection, image fusion, segmentation etc. In this paper different types of image enhancement algorithms in spatial domain are presented for gray scale images. Quantitative analysis like AMBE, MSE and PSNR for the different enhancement algorithms are evaluated. Algorithms like Linear contrast stretching, Fuzzy based image enhancement, and Local mean local standard deviation are discussed and compared. During result analysis, it has been observed that some algorithms do give considerably highly distinct values of PSNR, MSE and AMBE (parameters) for different images. To stabilize these parameters, a new enhancement scheme Median Absolute Deviation (MAD) is proposed, which will take care of these issues. By experimental analysis It has been observed that proposed method gives better AMBE (should be less) and PSNR (should be high) values compared with other algorithms, also these values are not highly distinct for different images. Also elapsed time taken by different algorithms to achieve desired application is recorded. MAD based image enhancement is faster also provides best values of MSE, PSNR and AMBE when applied on a database consisting of 400 images.","PeriodicalId":439156,"journal":{"name":"2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126406739","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

Characterization of Gilbert cell mixer for ultrawide band applications and noise parameters 超宽带应用吉尔伯特混频器的特性和噪声参数

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2017-12-01 DOI: 10.1109/ICEECCOT.2017.8284621

Kamalakar Pallela, Umadevi Gurram, Suryanarayan Palleboina

引用次数: 0

Advancements and recent trends in emotion recognition using facial image analysis and machine learning models 使用面部图像分析和机器学习模型的情绪识别的进展和最新趋势

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2017-12-01 DOI: 10.1109/ICEECCOT.2017.8284512

Tuhin Kundu, C. Saravanan

{"title":"Advancements and recent trends in emotion recognition using facial image analysis and machine learning models","authors":"Tuhin Kundu, C. Saravanan","doi":"10.1109/ICEECCOT.2017.8284512","DOIUrl":"https://doi.org/10.1109/ICEECCOT.2017.8284512","url":null,"abstract":"As the demand for systems with human computer interaction grows, automated systems with human gesture and emotion recognition capabilities are the need of the hour. Emotions are understood by textual, vocal, and verbal expression data. Facial imagery also provides a constructive option to interpret and analyse human emotional issues. This paper describes the recent advancements in methods and techniques used to gauge the five primary emotions or moods frequently captured on images containing the human face: surprise, happiness, disgust, normality, drowsiness, through automated machinery. Looking at the recent developments in facial expression recognition techniques, the focus is on artificial neural networks and Support Vector Machine (SVM) in emotion classification. The technique first analyses the information conveyed by the facial regions of the eye and mouth into a merged new image and using it as an input to a feed forward neural network trained by back propagation. The second method showcases the use of Oriented Fast and Rotated (ORB) on a single frame of imagery to extract texture information, and the classification is completed using SVM. The special case of drowsiness detection systems using facial imagery by pattern classification, as automated drowsiness detection promises to play a revolutionary role in preventing road fatalities due to lethargic symptoms in drivers is also discussed.","PeriodicalId":439156,"journal":{"name":"2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"355 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124480010","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: 25

Analysis of space vector intonation system 空间矢量语调系统分析

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2017-12-01 DOI: 10.1109/ICEECCOT.2017.8284547

G. Shobha, G. S. Gamya, T. Yuvaraja

引用次数: 1

Design and performance analysis of modified unsigned braun and signed Baugh-Wooley multiplier 改进无符号braun和有符号Baugh-Wooley乘法器的设计与性能分析

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2017-12-01 DOI: 10.1109/ICEECCOT.2017.8284612

V. B. Biradar, P. Vishwas, C. Chetan, B. S. Premananda

引用次数: 15

FPGA based hardware implementation of hybrid cryptographic algorithm for encryption and decryption 基于FPGA的混合密码算法的加解密硬件实现

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2017-12-01 DOI: 10.1109/ICEECCOT.2017.8284540

Vikrant Shende, Meghana Kulkarni

引用次数: 4

A novel IoT based framework for blood glucose examination 一种新的基于物联网的血糖检测框架

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2017-12-01 DOI: 10.1109/ICEECCOT.2017.8284666

G. Bhat, Nayana G. Bhat

{"title":"A novel IoT based framework for blood glucose examination","authors":"G. Bhat, Nayana G. Bhat","doi":"10.1109/ICEECCOT.2017.8284666","DOIUrl":"https://doi.org/10.1109/ICEECCOT.2017.8284666","url":null,"abstract":"Glucose checking is a fundamental piece of diabetes administration, and the support of physiological blood glucose fixation is the main route for a diabetic to evade perilous diabetic confusions. There have been constant advances in the field of glucose observing amid the most recent four decades, which have prompted the improvement of exceedingly developed blood glucose meters, non-obtrusive glucose monitoring (NGM) gadgets and continuous glucose monitoring systems (CGMS). Our thought comprises in understanding a keen framework to help a diabetic patient through the day by day life, in a nonobtrusive manner. The embraced strategy utilizes IR spectroscopy to decide the blood glucose level in an individual. A part based insightful versatile care framework with a Wi-Fi module, gives ready administration in unending consideration condition (Android Application). The sections in our framework incorporate patients, doctors, relatives and medicinal services suppliers. Each of the sections in framework communicate to a man who uses a cell phone, for example, a cell phone to speak with the server setup in the care focus to such an extent that he or she can go around without confinements. The framework is produced for home utilization of patients that should be continually or intermittently observed. In any basic condition, the required eating routine arrangement and area of adjacent healing centers are given. This guarantees brisk support of the patients and we can without much of a stretch spare many lives.","PeriodicalId":439156,"journal":{"name":"2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131504805","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: 8

Prediction of temperature using linear regression 用线性回归预测温度

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2017-12-01 DOI: 10.1109/ICEECCOT.2017.8284588

Sindhu P. Menon, Ramith Bharadwaj, Pooja Shetty, P. Sanu, S. Nagendra

引用次数: 8

Modified topology-hiding multipath routing (M-THMR) protocol: Solution to the topology exposure problem in MANET 改进的拓扑隐藏多路径路由(M-THMR)协议:解决MANET中拓扑暴露问题

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2017-12-01 DOI: 10.1109/ICEECCOT.2017.8284529

A. Phalke, J. Lagad

{"title":"Modified topology-hiding multipath routing (M-THMR) protocol: Solution to the topology exposure problem in MANET","authors":"A. Phalke, J. Lagad","doi":"10.1109/ICEECCOT.2017.8284529","DOIUrl":"https://doi.org/10.1109/ICEECCOT.2017.8284529","url":null,"abstract":"In the past few years MANETs had widespread usage in different applications. However, in-spite of having many advantages, they are prone to some serious security issues one of which being the topology exposure problem. Though there exist several Ad-hoc routing protocols that deal with some security issues in the MANETs, they hardly deal with the topology exposure problem, which makes them vulnerable to attack. Due to scarce resources MANETs tends to be difficult to be secured from malicious users. While underlining the necessity of hiding the topology of MANET when designing routing protocols, this paper presents ‘Modified Topology-Hiding Multipath Routing protocol’ (M-THMR) to address the security challenges in MANET, specifically those related to the topology exposure problem. M-THMR implements mechanisms for hiding the network topology, searching the nodes and avoiding unreliable routes. The paper analyses the general types of attacks on the MANET and shows the relationship between these attacks and the issue of topology exposure. Based on the performance evaluation, it is proposed that the M-THMR possess better capability of finding routes and nonetheless it does not degrade the performance of the network in the absence of attack. Moreover, in an adverse scenario, M-THMR is able to tackle an attack at the cost of very low overhead and short routing convergent time.","PeriodicalId":439156,"journal":{"name":"2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123728791","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