2017 International Conference on Computing Methodologies and Communication (ICCMC)最新文献

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Behaviour analysis of SVM based spam filtering using various parameter values and accuracy comparison 基于支持向量机的垃圾邮件过滤行为分析及准确率比较
2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282698
Shashank Mishra, D. Malathi
{"title":"Behaviour analysis of SVM based spam filtering using various parameter values and accuracy comparison","authors":"Shashank Mishra, D. Malathi","doi":"10.1109/ICCMC.2017.8282698","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282698","url":null,"abstract":"The Increase use of emails generated a need of spam filter. Machine learning algorithm forms a potential method to classify email at a very successful rate. In this paper we will use SVM classifier to classify emails and also note behavior of training and test accuracy with change in parameter C. Informally, the C parameter is a positive value that controls the penalty for misclassified training examples. Description Of algorithm is presented with comparison graph of different values of C to come to a conclusion about high bias and variance.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128329977","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
Classification based data mining algorithms to predict slow, average and fast learners in educational system using WEKA 基于分类的数据挖掘算法在教育系统中使用WEKA预测慢速、平均和快速学习者
2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282735
Vrushali Mhetre, M. Nagar
{"title":"Classification based data mining algorithms to predict slow, average and fast learners in educational system using WEKA","authors":"Vrushali Mhetre, M. Nagar","doi":"10.1109/ICCMC.2017.8282735","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282735","url":null,"abstract":"Education Data Mining plays an important role on predicting student's academic performance. This paper focuses on identifying slow, average and fast learners among students and displaying it by predictive data mining model using classification based algorithms. Student Details have been referred from Sardar Patel Institute of Technology College MCA Department and prediction of learners is done by applying Naïve Bayes, J48, ZeroR and Random Tree using WEKA as an Open Source Tool. Further a comparison is made among these four classifiers to predict the accuracy and find the best performing classification among all.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133058032","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: 34
Genomic analysis - reading DNA sequence and plotting sequence and condon 基因组分析。读取DNA序列并绘制序列和序列
2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282534
Smita Chopde, U. S. Pushpa
{"title":"Genomic analysis - reading DNA sequence and plotting sequence and condon","authors":"Smita Chopde, U. S. Pushpa","doi":"10.1109/ICCMC.2017.8282534","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282534","url":null,"abstract":"Recent development in genomics technologies has revolutionized providing new opportunities for study of biological systems. Modern sequence data sets are large diverse fragmented which presents new challenges for analysis and interpretation. The rapidly increasing volume of data produced by new sequencing technology provide new opportunity for understanding human vertebrate genetics. This paper will give the information of reading the sequence form the NCBI data bank with help of command line in suitable software and give the idea of plotting the sequence for the further analysis of the sequence for finding the aliment in the structure for the further research work to be carried out.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122699172","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
Implementation of machine learning algorithm for character recognition on GPU 基于GPU的字符识别机器学习算法的实现
2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282734
M. Mayekar, Mrs. Sonia Kuwelkar
{"title":"Implementation of machine learning algorithm for character recognition on GPU","authors":"M. Mayekar, Mrs. Sonia Kuwelkar","doi":"10.1109/ICCMC.2017.8282734","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282734","url":null,"abstract":"In today's world, with the advancement in the technology, everything is become digitized. This has led to converting all the important documents in digital format. It is at this point where OCR(Optical Character Recognition) plays a very important role. Lots of researchers have been working tirelessly to improve the accuracy of the recognition rate. There have been a lot of improvement in searching various methods that gives a very high accuracy where the recognition is concerned. Taking in to consideration the nature of this application, compute speed is one of the most important factor hat should be improved. So this increase in speed can be achieved by making use of the computer parallel processing power. The GPU(Graphic Processing Unit) is known for its parallel computing capability which helps in increasing the computation speed. In this paper we are going to implement knn (k-nearest neighbour) algorithm on GPU using CUDA(Compute Unified Device Architecture) language that will help in increasing the recognition accuracy and increase the speed of recognising Devanagari characters.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122144727","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
A comparitive study of land classification using remotely sensed data 基于遥感数据的土地分类比较研究
2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282720
Keerti Kulkarni, P. Vijaya
{"title":"A comparitive study of land classification using remotely sensed data","authors":"Keerti Kulkarni, P. Vijaya","doi":"10.1109/ICCMC.2017.8282720","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282720","url":null,"abstract":"Land classification is the process of surveying countryside characteristics such as land form, soils and ecosystem. They may be aimed firstly at assessing the agricultural or the forestry potential, or secondly they may be a simple categorisation and mapping of specific characteristics. The land classification imparts knowledge about land use and land cover has become increasingly important as the country plans to overcome the problems of haphazard, unplanned development, decreasing environmental quality, loss of good agricultural lands, destruction of cultivation lands, important water catchments, and wildlife habitat. There are many types of land classification algorithms available in remote sensing method such as Minimum Distance, Maximum Likelihood, Support vector machines, k-NN and Multi-Label Classification (MLC). A comparative analysis of land cover for all classifiers was done based on three factors 1) overall classification 2) accuracy 3) performance in the heterogeneous area. The survey concludes that the Multi-Label method classifier will produce better results.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"33 4 Suppl 91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124416559","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: 3
Enhancement of transient stability in fourteen bus system using interline power flow controller 采用线间潮流控制器增强十四母线系统暂态稳定性
2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282653
M. Reddy, Bishnu Prasad Muni, A. Sarma
{"title":"Enhancement of transient stability in fourteen bus system using interline power flow controller","authors":"M. Reddy, Bishnu Prasad Muni, A. Sarma","doi":"10.1109/ICCMC.2017.8282653","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282653","url":null,"abstract":"IPFC is a good FACTS controller to reduce imbalance in parallel lines. Transient Instability is a problem faced by the power suppliers in electric power system. Interline Power Flow Controller (IPFC) can be used to solve the problem. This work has proposed multi level IPFC for power quality improvement of multibus system. The objective of this work is to reduce rotor angle derivation during fault using IPFC system. Simulation studies are conducted on nine bus and fourteen-bus systems. The studies indicate improvement in the stability in terms rotor angle derivation. The simulation results indicate that rotor angle deviation with IPFC is much less than that of multibus system without IPFC.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117186619","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
Modelling and analysis of flexray protocol in VHDL flexray协议在VHDL中的建模与分析
2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282688
Vinay B. Bhasale, Nitesh B. Guinde
{"title":"Modelling and analysis of flexray protocol in VHDL","authors":"Vinay B. Bhasale, Nitesh B. Guinde","doi":"10.1109/ICCMC.2017.8282688","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282688","url":null,"abstract":"In an automotive industry, more complex functions are integrated to vehicles, this brings about the requirement for more quicker and dependable in-vehicle systems. These functions are controlled and monitored by different Electronic Control Units (ECU). Time-triggered protocols like Flexray have been making progress as the standard high-speed reliable communication in the automotive industry, marking a shift away from the event-triggered system access used in Controller Area Networks (CAN). Flexray offers superior flexibility, reliability and a high-speed communications protocol. It was devised by automotive manufacturers and semiconductor vendors. Flexray delivers fault tolerant communication and time triggered bus between various electronic devices for automotive applications. Flexray is protocol designed to provide large cluster of data to be exchanged in real time and with great dependability between ECUs, sensors and actuators. This work deals with Modelling and analysis of flexray protocol in VHDL language. Xilinx and Modelsim simulation tools are used to analyze the results. Further, FPGA can be utilized to attain the reconfigurable parallel design so that in automotive communication this system gets higher reliability and speed.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117250739","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
Implementation of PFSCL razor flipflop PFSCL剃刀触发器的实现
2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282627
R. Agrawal, N. Pandey, K. Gupta
{"title":"Implementation of PFSCL razor flipflop","authors":"R. Agrawal, N. Pandey, K. Gupta","doi":"10.1109/ICCMC.2017.8282627","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282627","url":null,"abstract":"In this paper, a Razor flipflop is implemented using three different methods based on Positive Feedback Source Coupled Logic (PFSCL); universal gates, triple-tail cell and tristate buffer. The performance of the proposed methods is differentiated on the basis of power consumption, propagation delay, area and power-delay product. It has been concluded that the architecture based on triple-tail cell performed better in terms of power consumption by 66.67% while tristate buffer based architecture outperformed the other methods in terms of propagation delay by 60.23%. The tristate buffer based architecture also requires the least overhead area among the three proposed methods. The propagation delays of the three methods have been observed at various frequencies. While the propagation delay of universal gates based method increases with increasing frequency, the propagation delay of the other two methods do not vary with changing frequencies. This makes the triple-tail cell based and tristate buffer based method suitable for operation at high frequencies. The results have been verified through SPICE simulations using 0.18 micrometer CMOS technology parameters.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126125556","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: 3
Matching circuit design of 3D stacked circuit based on ball bumping technology 基于球碰撞技术的三维堆叠电路匹配电路设计
2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282538
Yin-hua Yao, Tong-xiu Fan
{"title":"Matching circuit design of 3D stacked circuit based on ball bumping technology","authors":"Yin-hua Yao, Tong-xiu Fan","doi":"10.1109/ICCMC.2017.8282538","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282538","url":null,"abstract":"This paper elaborates the matching design of 3D board-stacked transmission circuit between up and down layers using ball bumping technology. The S parameters of transmission circuit at DC-20GHz derived from HFSS simulation are applied to the matching circuit design in ADS (Advanced Design System) Software. Thereafter, the obtained model of transmission circuit with matching circuit is created and simulated in HFSS. In addition, the effect of bumping technological parameters, including ball radius, horizontal shifts of ball center, and space between two boards, on S11 and S22, are discussed. Finally, grounded balls instead of metal cavity are adopted to shield the circuit.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122359618","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
Face recognition using PCA and geometric approach 基于PCA和几何方法的人脸识别
2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-01 DOI: 10.1109/ICCMC.2017.8282529
N. Tummala, P. C. Sekhar
{"title":"Face recognition using PCA and geometric approach","authors":"N. Tummala, P. C. Sekhar","doi":"10.1109/ICCMC.2017.8282529","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282529","url":null,"abstract":"This paper presents a framework for the face recognition problem. In recent times face recognition had been paid ample attention from researchers but still remained confronting in real time applications due to the presence of noise. A wide range of face recognition techniques have been presented in the past few years which majorly fall under feature based or holistic based approaches. In our paper we use some ailments of geometric based approach which maps different fiducial points in the face and compares them, for effective recognition of faces and respective data retrieval. We use the principal component analysis algorithm in fusion with geometric approach for face recognition purpose. This paper demonstrates the power of our approach by using different experiments and vividly concentrates on the best similarity and proximity possible coupled with highest recognition rate.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122754256","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
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