2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)最新文献

Compromised Node Detection in MIMO with Increased Security 提高安全性的MIMO中受损节点检测

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-29 DOI: 10.1109/ICECA.2018.8474882

V. Thanikaiselvan, Paras Mani Seth, K. Nirmal

引用次数: 0

Development of Telecardiology Monitor using Internet of Things 物联网心电监护仪的研制

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-29 DOI: 10.1109/ICECA.2018.8474624

L. Priya, S. Aarthi, S. M. Preethi, P. E. Jothi, R. Aruna, M. Anitha

引用次数: 0

Internet-of-Things Based Smart Local Bus Transport Management System 基于物联网的智能本地公交运输管理系统

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-29 DOI: 10.1109/ICECA.2018.8474728

V. Pawar, Nilesh P. Bhosale

{"title":"Internet-of-Things Based Smart Local Bus Transport Management System","authors":"V. Pawar, Nilesh P. Bhosale","doi":"10.1109/ICECA.2018.8474728","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474728","url":null,"abstract":"The Internet of Things (IoT) is a state of art paradigm that makes any electronic apparatus as part of the Internet atmosphere. IoT is about mounting sensors (RFID, IR etc.) for everything, furthermore, interfacing them to web through protocols for data exchange and communications, to attain smart recognition, location tracking, supervising and controlling. In current work, we invented a novel IoT based framework to develop Smart Local Bus Transportation System (SLBTS). The proposed system comprises of electronic device that is located in the moving public vehicle which provides real time data, a cloud server that absorbs this data, application software installed at bus depot and a mobile application for commuters travelling in buses. The devices gather substantial amount of information like number of passengers travelling, vehicle speed, fuel level, engine temperature and being connected to internet the collected information is synched up with cloud server to convert it into some useful data. Passengers in turn can check the status of bus on mobile app by entering bus number. The current work, realizes the full potential of IoT, also discourses its several challenges and advances the conceptual solutions to tackle them.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125771545","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

Secure Complaint bot using Onion Routing Algorithm Concealing identities to increase effectiveness of complain bot 利用洋葱路由算法隐藏身份，提高投诉机器人的有效性

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-29 DOI: 10.1109/ICECA.2018.8474839

Abhishek Naik, Apurva Saksena, Kumaresan Mudliar, Ayesha Kazi, Prerna Sukhija, R. Pawar

引用次数: 6

Feature Extraction By Using Deep Learning: A Survey 基于深度学习的特征提取:综述

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-29 DOI: 10.1109/ICECA.2018.8474912

Suresh Dara, Priyanka Tumma

引用次数: 84

ROI Segmentation for Feature Extraction from Human Fingernail 基于ROI分割的人体指甲特征提取

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-29 DOI: 10.1109/ICECA.2018.8474572

Sneha N. Gauns Dessai, Sangam Borkar

引用次数: 0

Analysis of Various Levels of Air Gap Eccentricity Faults In Switched Reluctance Motor 开关磁阻电机不同程度气隙偏心故障分析

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-29 DOI: 10.1109/ICECA.2018.8474790

A. V. Reddy, B. M. Kumar

引用次数: 0

Joint Angle Measurement Using MEMs Based Inertial Sensors for Biped Robot 基于MEMs惯性传感器的双足机器人关节角测量

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-29 DOI: 10.1109/ICECA.2018.8474917

Rahul Ravichandran, Akshay Kumar, R. Kumar

{"title":"Joint Angle Measurement Using MEMs Based Inertial Sensors for Biped Robot","authors":"Rahul Ravichandran, Akshay Kumar, R. Kumar","doi":"10.1109/ICECA.2018.8474917","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474917","url":null,"abstract":"The implementation and efficacy of closed loop systems in machines with moving limbs/parts is largely dependent upon the feedback systems that measure the extent of motion - linear or rotational. This paper proposes a novel technique for measurement of joint angles and thus rotational motion for links pivoted at a powered/non-powered joint, using low-cost inertial sensors. The paper proposes the substitution of noisy, inefficient and poor resolution mechanical sensors like optical or pulse encoders with tri-axial accelerometers and tri-axial gyroscope fused in low-cost Inertial Measurement Units(IMUs). This technique is used to measure the angles between the various joints of a bipedal robot and estimate its complete orientation in three dimensional space. The crux of this paper is utilizing the extended capabilities of the inertial sensors in joint angle estimation for closed loop operation of a twelve-Degree Of Freedom(DOF) lower body biped robot with potential implementation on stable bent knee walking on flat surfaces. All the joints of the biped are revolute and facilitate rotation of various limbs like thigh, shin and foot, analogous to a human leg. All links have IMUs mounted on them for the proposed task.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125851718","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

Diagnosis of skin diseases using Convolutional Neural Networks 使用卷积神经网络诊断皮肤病

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-29 DOI: 10.1109/ICECA.2018.8474593

Jainesh Rathod, Vishal Wazhmode, Aniruddh Sodha, Praseniit Bhavathankar

{"title":"Diagnosis of skin diseases using Convolutional Neural Networks","authors":"Jainesh Rathod, Vishal Wazhmode, Aniruddh Sodha, Praseniit Bhavathankar","doi":"10.1109/ICECA.2018.8474593","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474593","url":null,"abstract":"Dermatology is one of the most unpredictable and difficult terrains to diagnose due its complexity. In the field of dermatology, many a times extensive tests are to be carried out so as to decide upon the skin condition the patient may be facing. The time may vary from practitioner to practitioner. This is also based on the experience of that person too. So, there is a need of a system which can diagnose the skin diseases without any of these constraints. We propose an automated image based system for recognition of skin diseases using machine learning classification. This system will utilize computational technique to analyze, process, and relegate the image data predicated on various features of the images. Skin images are filtered to remove unwanted noise and also process it for enhancement of the image. Feature extraction using complex techniques such as Convolutional Neural Network (CNN), classify the image based on the algorithm of softmax classifier and obtain the diagnosis report as an output. This system will give more accuracy and will generate results faster than the traditional method, making this application an efficient and dependable system for dermatological disease detection. Furthermore, this can also be used as a reliable real time teaching tool for medical students in the dermatology stream.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129109971","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: 66

A Novel Framework for Real and Fake Smile Detection from Videos 一种新的视频真假微笑检测框架

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-29 DOI: 10.1109/ICECA.2018.8474594

Neelesh Bhakt, Pankaj Joshi, Piyush Dhyani

{"title":"A Novel Framework for Real and Fake Smile Detection from Videos","authors":"Neelesh Bhakt, Pankaj Joshi, Piyush Dhyani","doi":"10.1109/ICECA.2018.8474594","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474594","url":null,"abstract":"Smile is and has always been an evident parameter for judging one's state of mind. An indicator of emotions, a smile can be categorized into two types. Some are real, originating from an exhilarated atmosphere, while some are fake. Hence, it becomes utterly difficult to differentiate between the two smiles. This research work is based on capturing the movement of zygomatic major and obicularis oculli which plays a vital role in detecting whether a smile is fake or real. The appearance of wrinkles on the cheeks, corner of the mouth, indicate the contraction of the zygomatic major muscle, whereas the eye elongation indicates the obicularis oculli contraction. We have primarily worked on Videos in which the main emphasis is on the images of facial parts such as lips, eyes and cheeks area to distinguish between real and fake smile. The requisite portion of frames of training data videos are extracted and GIST is applied to it which is further trained by SVM. For test videos, the nature of frames for each video is predicted and based on the majority of real or fake frames in a video, it is classified into fake or real. Results show that the best accuracy in detecting true and fake smiles is close to 76.66%, while in reality, human true-fake-smile recognition ability is much lower. Thus, our work assures efficient output which could be used as a tool for the analysis of smiles in the psychological area and this research work can be further extended to detect fake and real expressions.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130794847","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