2019 International Conference on Intelligent Computing and Control Systems (ICCS)最新文献

Sentiment Analysis of Yelp Reviews by Machine Learning 基于机器学习的Yelp评论情感分析

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065812

H. S., Ramathmika Ramathmika

引用次数: 15

A Comparative Study of Epileptic Seizure Detection Framework using SVM and ELM 基于SVM和ELM的癫痫发作检测框架的比较研究

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065458

B. Shabarinath, K. Challagulla, Majety Ramsankar Visodhan

{"title":"A Comparative Study of Epileptic Seizure Detection Framework using SVM and ELM","authors":"B. Shabarinath, K. Challagulla, Majety Ramsankar Visodhan","doi":"10.1109/ICCS45141.2019.9065458","DOIUrl":"https://doi.org/10.1109/ICCS45141.2019.9065458","url":null,"abstract":"Poverty and lack of health awareness are major reasons for illnesses, particularly neurology-related problems in India. Epilepsy is one such problem that affects the brain by causing seizures termed as epileptic seizures. People in rural areas believe epileptic attacks to be results of influence of black magic and resorted to unscientific practices for treatment. Repeated occurrence of seizures could lead to death. The early detection and treatment would cure 70 percent of the cases. The study of the epileptic activity can be done using EEG recordings of the brain. Although many software packages offers complete tool set for complex EEG analysis which is not as candid compared to brain-imaging techniques user need to choose appropriate framework suitable for their application scenario. In this paper we propose four different combination of feature extraction and classification techniques for detecting epileptic seizures and this study aims to compare the results in context of accuracy. The combination of discrete wavelet transform for feature extraction and early learning machine algorithm for classifications generates 90.1% accuracy in classifying epileptic seizures. Also this framework reduces computation time by selection of proper EEG channel data by preprocessing which helps to develop an expert system which emulates the decision making of a human expert.","PeriodicalId":433980,"journal":{"name":"2019 International Conference on Intelligent Computing and Control Systems (ICCS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117115180","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

Internet Traffic Detection using Naïve Bayes and K-Nearest Neighbors (KNN) algorithm 基于Naïve贝叶斯和k近邻(KNN)算法的互联网流量检测

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065655

M. Dixit, R. Sharma, Saniya Shaikh, Krutika Muley

{"title":"Internet Traffic Detection using Naïve Bayes and K-Nearest Neighbors (KNN) algorithm","authors":"M. Dixit, R. Sharma, Saniya Shaikh, Krutika Muley","doi":"10.1109/ICCS45141.2019.9065655","DOIUrl":"https://doi.org/10.1109/ICCS45141.2019.9065655","url":null,"abstract":"Growth of internet has led to rise in number of users and its usage. Despite its advantages, exponential rise in internet usage has resulted in excess data flow over the system flooding the internet. To maintain quality of service and speed of internet along with ensuring data security as well as preventing data misuse, analysis of the internet data becomes essential. Analysis of the dataflow involves characterizing it into different types. This can be done by inspecting the packets either on basis of port numbers, payload information or statistical features. This paper aims to discuss the analysis of internet traffic using statistical features such as interpacket arrival time, time to live and number of packets helping us prevent invasion of packet information. This helps us protect user’s privacy. To automate the process of categorizing internet traffic, machine learning based supervised classification techniques namely Naive Bayes and K Nearest Neighbors are implemented. Experiments to obtain highest accuracy in classifying internet traffic on basis of transaction protocol were performed. The dataset used is UNSW-NB. The results show that classification using K-Nearest Neighbors algorithm gives accuracy of 85% whereas maximum accuracy achieved using Naïve Bayes algorithm is 54%.","PeriodicalId":433980,"journal":{"name":"2019 International Conference on Intelligent Computing and Control Systems (ICCS)","volume":"48 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120887195","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: 10

A PSO Based PIDF Controller for Multiarea Multisource System Incorporating Dish Stirling Solar System 结合碟形斯特林太阳能系统的多区域多源系统的PSO pid控制器

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065804

Anshuman Panda, Animesh Das, S. S. Pati, Saroj Kumar Mishra

引用次数: 3

Energy Efficient Routing HART Protocol in Soil Nutrition Analysis for Agriculture 农业土壤营养分析中的节能路由HART协议

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065827

Ayushi Singh, Abhishek Mishra, M. Ahmed

引用次数: 0

Comprehensive study of Multi heuristic image segmentation techniques 多启发式图像分割技术的综合研究

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065826

Gurbakash Phonsa, R. Ruchi

引用次数: 0

Design and Verification of DDR SDRAM Memory Controller Using SystemVerilog For Higher Coverage 基于SystemVerilog的DDR SDRAM内存控制器的设计与验证

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065407

P. M P, S. Panda

{"title":"Design and Verification of DDR SDRAM Memory Controller Using SystemVerilog For Higher Coverage","authors":"P. M P, S. Panda","doi":"10.1109/ICCS45141.2019.9065407","DOIUrl":"https://doi.org/10.1109/ICCS45141.2019.9065407","url":null,"abstract":"In present electronic systems, DDR SDRAM (Double Data Rate Synchronous Dynamic Random-AccessMemory) is an next level advanced version of regular SDRAM, and it was developed with advanced key features such as effective use of memory bandwidth and its capability to transact data on both edges of clock cycles. DDR SDRAM is widely used in computer applications like laptops, DSP processing systems and networking. Cost and speed are the two important factors in designing memories like DDR SDRAM which will meet the standards in the field of DSP applications. Because of its high speed, burst access and pipeline feature DDR SDRAM becomes more popular. The main basic operations of DDR SDRAM memory controller are very much common to that of SDR (Single Data Rate) SDRAM memory controller and they differ only in their circuit design. DDR simply use sophisticated circuit techniques to achieve high speed in order to perform a greater number of operations per clock cycles. DDR SDRAM uses double data rate architecture wherein DDR SDRAM (also known DDR1) means transaction of data on both the rising and falling edge of the clock cycles. The DDR SDRAM controller makes many lowlevel tasks invisible to the user like refresh, initialization and timings. DDR SDRAM also designed with objective of using proper commands like Read/Write accesses, proper active and pre-charge command etc. In this work a DDR SDRAM controller is designed using Verilog HDL and Verification is carried out using SystemVerilog by Questasim Tool. Functional coverage of 100% is achieved by applying randomized test cases.","PeriodicalId":433980,"journal":{"name":"2019 International Conference on Intelligent Computing and Control Systems (ICCS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126799830","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 of sEMG Signals for Controlling of a Prosthetic foot using SVM and KNN 基于SVM和KNN的假肢足表面肌电信号分类

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065394

Chitra Prasad, V. K. Balakandan, Pranav Moorthy V, Sreeja Kochuvila

引用次数: 2

Comparison between five classification techniques for classifying emotions in human speech 五种语言情感分类技术的比较

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065620

B. Pathak, Deepti R. Patil, Shweta More, Nikita R. Mhetre

引用次数: 3

Land Use Prediction on Satillite images using Deep Neural Nets 基于深度神经网络的卫星影像土地利用预测

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI: 10.1109/ICCS45141.2019.9065698

Saket Kumar Ojha, Kasiviswanath Challa, Madhu Kiran Vemuri, Naga Sri Vardhan Yarlagadda, B. P. Phaneendra Kumar

引用次数: 1