2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)最新文献_第7页

Pricing model for revenue generation using Recurrent Neural Network for Cloud service provider 云服务提供商使用递归神经网络生成收益的定价模型

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862567

Meetu Kandpal, Kalyani Patel

引用次数: 1

Design and Implementing Brain Tumor Detection Using Machine Learning Approach 利用机器学习方法设计和实现脑肿瘤检测

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862553

G. Hemanth, M. Janardhan, L. Sujihelen

{"title":"Design and Implementing Brain Tumor Detection Using Machine Learning Approach","authors":"G. Hemanth, M. Janardhan, L. Sujihelen","doi":"10.1109/ICOEI.2019.8862553","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862553","url":null,"abstract":"Nowadays, brain tumor detection has turned upas a general causality in the realm of health care. Brain tumor can be denoted as a malformed mass of tissue wherein the cells multiply abruptly and ceaselessly, that is there is no control over the growth of the cells. The process of Image segmentation is adopted for extracting abnormal tumor region within the brain. In the MRI (magnetic resonance image), segmentation of brain tissue holds very significant in order to identify the presence of outlines concerning the brain tumor. There is abundance of hidden information in stored in the Health care sector. With appropriate use of accurate data mining classification techniques, early prediction of any disease can be effectively performed. In the medical field, the techniques of ML (machine learning) and Data mining holds a significant stand. Majority of which is adopted effectively. The research examines list of risk factors that are being traced out in brain tumor surveillance systems. Also the method proposed assures to be highly efficient and precise for brain tumor detection, classification and segmentation. To achieve this precise automatic or semi-automatic methods are needed. The research proposes an automatic segmentation method that relies upon CNN (Convolution Neural Networks), determining small 3 × 3 kernels. By incorporating this single technique, segmentation and classification is accomplished. CNN (a ML technique) from NN (Neural Networks)wherein it has layer based for results classification. Various levels involved in the proposed mechanisms are: 1. Data collection, 2. Pre-processing, 3. Average filtering, 4. segmentation, 5. feature extraction, 6. CNN via classification and identification. By utilizing the DM (data mining) techniques, significant relations and patterns from the data can be extracted. The techniques of ML (machine learning) and Data mining are being effectively employed for brain tumor detection and prevention at an early stage.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"24 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":"133085114","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: 60

Patch Antenna for ISM Band Application 适用于ISM波段的贴片天线

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862700

Shambhavi S. Salelkar, Palhavi Kerkar

引用次数: 1

Design and Performance Comparison of Metamaterial Superstrate Antenna for DSRC Applications DSRC超材料天线的设计与性能比较

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862655

R. Kingsta, K. Seyatha

{"title":"Design and Performance Comparison of Metamaterial Superstrate Antenna for DSRC Applications","authors":"R. Kingsta, K. Seyatha","doi":"10.1109/ICOEI.2019.8862655","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862655","url":null,"abstract":"The modern wireless communication system requires high performance antenna. To meet this objective, this paper presents the design of Metamaterial Superstrate Antenna mainly used for Dedicated Short Range Communication (DSRC) Applications. This antenna consists of an array of rectangular patches which are connected using microstrip line and fed by a 50 ohm microstrip line. The “I” shaped unit cell slots of different sizes are located above the metamaterial superstrate structure. The enhancement in the gain and directivity of the metamaterial antenna is the prime objective of this work. In order to achieve higher gain and directivity, metamaterial superstrate antenna is designed and optimized using Genetic Algorithm and Pattern Search Algorithm. The proposed antenna is designed and fabricated using the commercially available FR4 material. The gain and directivity obtained before optimization are 8.13 dB and 8.08 dB. In order to further improve the gain and directivity of the antenna, various techniques are incorporated to optimize the parameters such as length and width of the ground plane and length of the patch and the results are compared in terms of gain, directivity, return loss and run time required to find the optimal value. The optimized gain and directivity of the Metamaterial Superstrate Antenna using Pattern Search Optimization method are 9.9386 dB and 9.9350 dB at the operating frequency of 5.9 GHz with the return loss of -21.5133 dB.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"275 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":"134305314","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

Study the Fundamental Conpect of Traffic Management System Analysis Methodology Victimization Using Image Development Processing 研究了基于图像发展处理的交通管理系统受害分析方法的基本概念

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862762

Sanket Chandrakant Mungale, M. Sankar, D. Mudgal

引用次数: 0

Energy Consumption Analysis And Load Management For Smart Home 智能家居能耗分析与负荷管理

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862734

Aswathi Balachandran, Ramalakshmi, Venkatesan, M. Lakshmi, K. Jahnavi, V. Jothi

引用次数: 0

Low-Cost Robotic Arm for differently abled using Voice Recognition 低成本的机械臂，为不同的残疾人使用语音识别

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862757

N. Andrews, Sherin Jacob, Steffi Thomas, S. Sukumar, Reni K. K Cherian

{"title":"Low-Cost Robotic Arm for differently abled using Voice Recognition","authors":"N. Andrews, Sherin Jacob, Steffi Thomas, S. Sukumar, Reni K. K Cherian","doi":"10.1109/ICOEI.2019.8862757","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862757","url":null,"abstract":"Vast number of control researches and numerous control applications were displayed amid the most recent years, focused on control of robotic arms. A robotic arm is a kind of mechanical arm, ordinarily programmable, which have similar abilities to a human arm. Building a mechanical arm is certainly not another idea, yet in the meantime, the structure and the determination can fluctuate from various plans. We developed a working prototype of a voice-controlled robotic arm for physically differently abled people. The main aim of the project is to develop a low-cost robot hand that is light and strong. Robotics is an interesting area of research in the field of Engineering. Our project is a voice-controlled robot which does some predefined actions based on the commands we give. We are giving the input speech through the Android phone. The Android operating system widely used in mobile phones, digital cameras are user-friendly and can be controlled by everyone. The Android phone and robotic arm are associated with Bluetooth module. The hand movements are done using circuitry of servo motors which placed and aligned at specific rotations and positions. The movement control is done by a microcontroller. The controller receives a voice command from the smartphone and the nature of the grab will be depending on the voice commands received.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"9 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":"132141627","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

Computer Aided System For Early Detection Of Nuclear Cataract Using Circle Hough Transform 利用圆霍夫变换早期检测核性白内障的计算机辅助系统

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862595

A. Jagadale, S. S. Sonavane, D.V. Jadav

{"title":"Computer Aided System For Early Detection Of Nuclear Cataract Using Circle Hough Transform","authors":"A. Jagadale, S. S. Sonavane, D.V. Jadav","doi":"10.1109/ICOEI.2019.8862595","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862595","url":null,"abstract":"Survey done by world health organization for probing causes of blindness indicates that cataract is major cause of blindness. Even age related cataract is most commonly observed, it is serious cause to think because of its appearance in minors and children for both eyes. Detecting cataract at earlier stage is challenge as it has less affecting vision. The three most general types of cataract are nuclear cataract, cortical cataract and post subcapsular cataract. Slit lamp observation with lens opacity classification system (LOCS-III) is used for detection and medical diagnosis by ophthalmologists. Lens replacement surgery is most common treatment suggested on cataract for correcting vision. Literature survey indicates towards the success and correctness of computer added detection and grading is function of correctness of lens localization from cataract eye image. The work presented in this paper uses slit lamp images from ophthalmologist at eye hospital with computer aided image processing to detect cataract at earlier stage. The challenge of detection of cataract at earlier stage is attended in steps like lens detection, lens segmentation, feature extraction and categorization. The overall accuracy is enhanced by use of Hough circle detection transform for lens detection and support vector machine for categorization. The detection and categorization is performed using statistical feature extraction with prior trained support vector machine.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"41 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":"132272246","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: 9

An Efficient Helmet Detection for MVD using Deep learning 基于深度学习的MVD头盔检测方法

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862543

C. Rohith, Shilpa A Nair, Parvathi S. Nair, S. Alphonsa, Nithin Prince John

引用次数: 26

Health Record Management through Blockchain Technology 通过区块链技术进行健康记录管理

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862594

V. Harshini, Shreevani Danai, H R Usha, Manjunath R. Kounte

{"title":"Health Record Management through Blockchain Technology","authors":"V. Harshini, Shreevani Danai, H R Usha, Manjunath R. Kounte","doi":"10.1109/ICOEI.2019.8862594","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862594","url":null,"abstract":"The world is moving towards progress, to achieve the desired progress, the world should have a healthy population and health records are the projections of an individual's health over time. The centralised approach of maintaining the health records lead to data breaches. According to 2017 Ponemon Cost of Data Breach Study, the cost of the data breach for healthcare organizations estimated to be $380 per record. According to 2016 Breach Barometer Report, 27,314,647 patient records were affected. So we moved towards institution-driven approach of record maintenance, which didn't make much difference with the previously existing one. Since the patient have no control over the data, the chances of data being misused is high. So we need a patient-centered approach which is completely decentralised, which can identify data thefts, prevent data manipulation, and patient has the right in access control. Blockchain Technology serves as a best solution to address all the problems and fulfill the needs. Blockchain being a decentralised and distributed ledger it can also impact on billing, record sharing, medical research, identify thefts and financial data crimes in days to come. Implementation of smart contracts in health care can simplify things even better. Where invoking, record creation and validation will be done on Blockchain. This paper highlights on the patient-driven model of record maintenance using Blockchain technology where smart contracts can be incorporated in future days making it more potential in data exchange. Finding its huge scope, hoping that more researches will be carried out and practically implemented.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"69 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":"116237961","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: 23