2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)最新文献

An Indirect Method to Estimate Sweet Lime Weight through Machine Learning Algorithm 一种利用机器学习算法间接估计甜石灰重量的方法

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-00038

V. Phate, R. Malmathanraj, P. Palanisamy

{"title":"An Indirect Method to Estimate Sweet Lime Weight through Machine Learning Algorithm","authors":"V. Phate, R. Malmathanraj, P. Palanisamy","doi":"10.1109/ICCMC48092.2020.ICCMC-00038","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-00038","url":null,"abstract":"A fast and indirect method of weighing the sweet lime fruit developed based on the computer vision coupled with machine learning algorithm is investigated in this research work. The developed computer vision system (CVS) has been used to analyze the sweet lime image database. The images have been processed using the developed algorithm to extract seven geometrical attributes. The support vector machine regression (SVMR) modelling technique has been utilized to develop the model for estimating the weight of fruit samples under consideration. Eight different SVMR models have been developed in two SVM type for different kernel type. Relevant statistical analysis and comparison of the developed model is also presented. Finally, the type 2 SVMR model with RBF kernel has been recommended as the model with best performance during training ($R^{2}=$ 0.9867, RMSE = 5.26) and testing ($R^{2} =$ 0.9866, RMSE = 6.435) too. Thus, the presented work provides an indirect way for measuring sweet lime fruit size to estimate its weight. This will be helpful in the design and development of most of the post-harvest equipment.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115387983","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: 2

A Review on Feature Extraction Techniques for Sentiment Classification 面向情感分类的特征提取技术综述

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000126

K. Kalaivani, S. Uma, C. Kanimozhiselvi

引用次数: 7

Fraud Detection and Prevention by using Big Data Analytics 利用大数据分析进行欺诈检测和预防

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-00050

Bineet Kumar Jha, G. Sivasankari, K. Venugopal

引用次数: 12

The Enforcement of Context Aware System Security Protocols with the Aid of Multi Factor Authentication 借助多因素认证实现上下文感知系统安全协议

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000138

S. Jose, P. Nayana, N. S. Nair

引用次数: 0

Arduino based Hardware Implementation of Automatic Side Stand for Motor Bike 基于Arduino的摩托车自动侧支架硬件实现

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000116

J. J. Mathavan, K. G. L. Dinakara, P. G. S. G. Premathilaka, H. M. T. D. Herath

引用次数: 1

An Insight into the Relevance of Word Ordering for Text Data Analysis 对文本数据分析中词序相关性的洞察

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-00040

R. Menon, R. Akhil dev, Sreehari G Bhattathiri

引用次数: 1

State of Charge based Control Strategy for Battery Energy Storage System in DC Microgrid 基于充电状态的直流微电网电池储能系统控制策略

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-00081

Dipali Kataruka, S. Behera

{"title":"State of Charge based Control Strategy for Battery Energy Storage System in DC Microgrid","authors":"Dipali Kataruka, S. Behera","doi":"10.1109/ICCMC48092.2020.ICCMC-00081","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-00081","url":null,"abstract":"In order to achieve proper bus voltage and desired power-sharing and charging/ discharging of Battery Energy Storage System (BESS) in consideration with the state of charge (SOC) of the battery, the control design is proposed. The design is mainly proposed for the bidirectional converter of BESS in a DC Microgrid (MG). The proposed controller employs the locally obtained measurements of battery voltage as a state in control design, thereby keeps aside the use of high bandwidth communication. On sudden failure of the grid, it must be compensated by other sources in the MG and continuous supply to the load is a must. Thus the reliability of the system is achieved by operating the MG employing mode switching in between three modes: power regulation mode (PRM), constant voltage (CV) mode and voltage regulation mode (VRM) implementing control scheme of BESS. Transient performance validation is done by simulating different system disturbances such as accidental grid isolation and uncertain loading conditions taking into account the line parameters in the transmission line. To show the proof of the proposed concept of the control strategy, simulation results are provided.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122583194","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

Using the Keras Model for Accurate and Rapid Gender Identification through Detection of Facial Features 利用Keras模型通过检测面部特征进行准确快速的性别识别

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000106

A. Vani, R. N. Raajan, D. Haretha Winmalar., R. Sudharsan

{"title":"Using the Keras Model for Accurate and Rapid Gender Identification through Detection of Facial Features","authors":"A. Vani, R. N. Raajan, D. Haretha Winmalar., R. Sudharsan","doi":"10.1109/ICCMC48092.2020.ICCMC-000106","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000106","url":null,"abstract":"As the need for person-aligned, effective, and ethical structures emerges, automatic identification of gender is gaining interest in the era of machine-man interactions. Most of the systems for gender detection were analysed using textual or audiovisual sources. Far too many suggested different approaches for automatic identification of gender using the characteristics acquired from people’s bodies and/or behaviours. But the accuracy has always been a question or a drawback in automated gender detection. In the proposed research work, First, the faces and the facial features which includes eyes, mouth, and nose are detected using Haar Cascade based on Viola-Jones face detection algorithm. Before, the gender detection, the noise is reduced by applying adaptive filters, thereby increasing the accuracy. The obtained facial features are given as the input or test data to the neural network. The neural network is designed to obtain the features and acts as a classifier to detect the genders. Simply, the feature extraction and gender detection is performed using the open source neural network called keras.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122668706","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

VLSI Implementation of Turbo Coder for LTE using Verilog HDL 基于Verilog HDL的LTE Turbo编码器VLSI实现

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-00051

Akshaya V, Sreehari K N, Anu Chalil

引用次数: 3

HVDC based Power Loss Reduction and Estimation of Power Transmission 基于HVDC的输电损耗降低与估计

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000180

P. Sharma, A. Kori

引用次数: 0