2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)最新文献_第8页

Hardware Implementation of a High Step up DC-DC Converter Using Photovoltiac System 基于光伏系统的高升压DC-DC变换器硬件实现

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819863

Karale Nayan Ramesh, Pawar mrugnayni vinayak, S. Pawar

引用次数: 0

Optimization of surveillance cost of a neighborhood using soft computing techniques 基于软计算技术的小区监控成本优化

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819715

Hari Mohan Pandey, A. Agarwal, Vineet Pratik

引用次数: 0

PWM Based Charge Controller For Renewable Energy Applications Using SEPIC Converter 基于PWM的SEPIC转换器可再生能源充电控制器

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819755

Bhakti B. Baliwant, Ankita R. Gothane, V. Waghmare

引用次数: 5

Comparison of SVM an/kNN classifiers for palm movements using sEMG signals with different features 基于不同特征表面肌电信号的手掌运动SVM和/kNN分类器的比较

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819727

Ankita Bhusari, N. Gupta, Tanaya Kambli, S. Kulkami

{"title":"Comparison of SVM an/kNN classifiers for palm movements using sEMG signals with different features","authors":"Ankita Bhusari, N. Gupta, Tanaya Kambli, S. Kulkami","doi":"10.1109/ICCMC.2019.8819727","DOIUrl":"https://doi.org/10.1109/ICCMC.2019.8819727","url":null,"abstract":"The human-machine interface plays a major role in the development of the prosthetic arm which acts as an immediate rehabilitation for the amputee. Electromyogram (EMG) signals which are signals acquired from muscles require high accuracy in detection, preprocessing, feature extraction and classification which is a challenging task. The main focus of this paper is on how to improve the accuracy by using low cost electrodes so that the overall prosthesis cost can be lowered. Two different classification techniques, Support Vector Machine (SVM) and k- Nearest Neighbor (kNN) are employed and the results are compared to determine which method gives better accuracy. In this paper, classification and analysis is done on surface Electromyogram (sEMG) signals acquired from muscle sensor v3 and datasets available online. The movements to be classified are cylindrical, spherical and lateral. For analysis of the signals , four level wavelet decomposition was used and features such as Standard Deviation (SD),Waveform Length (WL) and Root Mean Square (RMS) were extracted and compared.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121576038","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: 5

Power Optimization Algorithm for Heterogeneous WSN using Multiple Attributes 多属性异构WSN的功率优化算法

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819705

Kumkum Dubey, Adarsh Kumar Yadav, P. Kumar, P. Shekhar, Prince Rajpoot, Shobhit Kumar

引用次数: 4

Arduino microcontroller based Cashline Security System based on vein recognition Using Dactylography Technology 基于Arduino单片机的基于指纹识别技术的现金线安全系统

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819780

M. Rubini, M. Kavisarathi, R. Kaviya, B. P. Kiruba Shankarr, A. Pavithra, R. Praveen

{"title":"Arduino microcontroller based Cashline Security System based on vein recognition Using Dactylography Technology","authors":"M. Rubini, M. Kavisarathi, R. Kaviya, B. P. Kiruba Shankarr, A. Pavithra, R. Praveen","doi":"10.1109/ICCMC.2019.8819780","DOIUrl":"https://doi.org/10.1109/ICCMC.2019.8819780","url":null,"abstract":"In recent times, Cashline Systems are highly used for most of the bank transactions. Cashline system security is becoming more and more important in all aspects. On other hand the ATM frauds such as Duplicating ATM cards and card skimming were increased. To overcome such frauds dactylography technology is used in the proposed system. The advantage of the dactylography technology results on an entirely card free transaction. Even for the identical twins, the finger vein pattern is matchless. The width of the vein may be changed due to temperature changes or blood pressure but the centre line become stable. Then the extracted line will be used for the future identification purpose. The cashline system is to increase authenticity, confidentiality as well as user trust towards ATM transaction. After the analyzation of finger vein of the authenticated person, the next step is followed by means of the analyzed one’s finger vein matching with the recorded vein pattern of the related banks database. Then high security level GSM module will generate an OTP and sends it to the authorized users mobile then followed by entering the OTP to the ATM machine, the verification is done and then further transaction process is followed.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125419791","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

Machine learning based review on Development and Classification of Question-Answering Systems 基于机器学习的问答系统发展与分类综述

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819667

Sayli Uttarwar, Simran Gambani, Tej Thakkar, Nikahat Mulla

引用次数: 0

A Novel Approach for Blind CFO Estimation in OFDM Systems OFDM系统中盲CFO估计的新方法

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819802

Shivkanya Vishnu Doke, K. Sujatha

引用次数: 0

Single Channel Electromyography Controlled Wheelchair Implemented in Virtual Instrumentation 虚拟仪器实现的单通道肌电控制轮椅

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819793

Aadesh Guru Bhakt Dandamudi, Dhage Navaneet Rao, Vijay Padmakar Aravilli, S. R.

{"title":"Single Channel Electromyography Controlled Wheelchair Implemented in Virtual Instrumentation","authors":"Aadesh Guru Bhakt Dandamudi, Dhage Navaneet Rao, Vijay Padmakar Aravilli, S. R.","doi":"10.1109/ICCMC.2019.8819793","DOIUrl":"https://doi.org/10.1109/ICCMC.2019.8819793","url":null,"abstract":"The electrical signals that are emerging from our body enables us to connect to countless applications in the field of Human-machine interface and rehabilitation. In this paper, a low-cost human-machine interface (HMI) is implemented which could be of great help for people who have lost their voluntary movements while retaining the cognitive capacity. Hence the only way to assist them is by recording the bio-signals generated from the body and use them to control special medical assisting equipment. Here, a prototype of a wheelchair has been developed using LABVIEW and an Arduino microcontroller that can be actuated by the muscle signals (EMG). The processed signal from the Myoware EMG sensor is given as input to the microcontroller, which depending on the type of signal generated, decides which direction to move on. An attempt has also been made to detect stationary and non-stationary obstacles in the path using an ultrasonic transducer enabled with a smart collision avoidance algorithm, which has been fixed on the wheelchair. Additionally, an anti-theft mode, emergency braking with gyroscope control and a GPS tracking facility has also been incorporated. This single channel EMG controlled wheelchair can also be used to assist and help people affected by partial paralysis or even Quadriplegia with slight modifications.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126166802","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: 4

Line Following Robot Using Image Processing 基于图像处理的线路跟踪机器人

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819826

J. Sarwade, Sagar Shetty, Aman Bhavsar, Mahesh Mergu, Ajay Talekar

引用次数: 5