2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)最新文献

{"title":"Use of genetic algorithms for classification of datasets","authors":"Shanabog C S Nandish, U. Ashwinkumar","doi":"10.1109/RTEICT.2017.8256952","DOIUrl":"https://doi.org/10.1109/RTEICT.2017.8256952","url":null,"abstract":"The number one cause of death in world is cardio vascular diseases (CVD). Millions of people died due to cardio vascular diseases than by any other causes. World Health Organization published statistics in 2012 — according to which around 17.5 million people lost their lives from cardiovascular disease in 2012, which is 31% of all global deaths. Among these recorded statistics of death, 7.4 million people dies due to coronary heart disease and around 6.7 million people dies from stroke [1]. Evidences show that the people who died due to cardiovascular diseases are from low or middle-income countries like India, Nepal, some of the South African countries, and very few European countries. When we analyze these statistics based on the age of people, among the 16 million people who died before they reach 70, the reason behind those deaths were non-communicable diseases. Around 82% percent of deaths due to cardio vascular diseases are from low or middle-income countries. World Health Organization has published in India's Country Health Profile that heart disease was the leading cause of death, killing1215.4 thousand people in 2012. Heart disease contributes to 28% of deaths in India annually. Recent surveys and statistics from India reveal that approximately 30 million people who are suffering from heart diseases and around two lakh surgeries are being done each year. These statistics show how badly India has been affected by heart diseases. Most of the cardio vascular diseases can be well avoided or prevented by adoption of healthy lifestyle — like quitting tobacco and all variants of tobacco products, avoiding unhealthy diet and obesity, involving in physical activity or exercises and quitting consumption of alcohol. Government is striving hard to create awareness among the countrymen to quit tobacco and alcohol — which contribute majorly for heart disease by adopting various mass media advertisements like playing the mandatory cautionary warning messages in all movie theaters, by mandating the manufacturers to print the stationary warnings on all tobacco and alcoholic goods packages. But still India has a long way to spread complete awareness among its population. People who have symptoms of cardiovascular diseases (which in turn based on the risk factors of cardiovascular diseases like consumption of tobacco and alcohol) require an early detection and mitigation of the risks by medication and counseling to avoid future disasters. Hence early detection of cardiovascular disease is gaining major importance in recent days [1].","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133288975","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}

{"title":"Minimization of the torque ripples of 8/6 switched reluctance motor with PI controller","authors":"Megha Chaple, S. Bodkhe","doi":"10.1109/RTEICT.2017.8256971","DOIUrl":"https://doi.org/10.1109/RTEICT.2017.8256971","url":null,"abstract":"This paper designed speed controller (PI) and fed to switched reluctance motor (SRM) with two converter topologies i.e. asymmetric bridge converter and R-dump converter for minimizing the torque ripples using MATLAB/SIMULINK software package. The SRM speed is compared with reference speed and speed error signal is processed through PI controller and limiter to generate current command. Simulation results shown for two converter topologies. Simulation results shows that for low speed (closed loop) controlled SRM with PI controller consists of minimum torque ripples than those obtained for uncontrolled (open loop) SRM drive.","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133331298","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}

{"title":"An efficient machine translation model for Dravidian language","authors":"Chandramma, Piyush Kumar Pareek, K. Swathi, Puneet Shetteppanavar","doi":"10.1109/RTEICT.2017.8256970","DOIUrl":"https://doi.org/10.1109/RTEICT.2017.8256970","url":null,"abstract":"In a multilingual diversity country like India, language translation plays a significant factor in the area of text processing application such as information extraction, machine learning, natural language understanding, information retrieval and machine translation. Thereexists many challenges and issues in translation between languages, especially the Dravidian language, such as ambiguities, lexical divergence, syntactic, lexical mismatches and semantic issues, etc. The n — gram language model (LM) performs very well machine translation. However the existing approach is not efficient for generating n — gram from large bi-lingual parallel corpora. Most existing approaches are limited to monolingual to minimize redundant n — gram. To overcome this, this work presents an efficient machine translation model using machine learning techniques. No prior work has considered machine translation of Kannada and Telugu. The experimentis conducted on Wikipedia dataset show significant performance in term of accuracy and computation complexity of alignment considering different threshold.","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132718565","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}

{"title":"Navigation system using WLAN","authors":"Keerthipati Thulasiram Varma","doi":"10.1109/RTEICT.2017.8256559","DOIUrl":"https://doi.org/10.1109/RTEICT.2017.8256559","url":null,"abstract":"This paper presents an architecture for navigation, based on wireless local area network which helps in reduce usage of internet data. The network system consists of multiple interlinked routers which positioned in different points in the application site and they are used to represent the device location which are connected to it. The paper demonstrates the method of locating the position of the device and the backend experimental results show the big picture how to identify the device IP address and store in database using Python as programing language and Python Django Rest as a framework the proposed architecture can flexible modify according to the application locations for, e.g., Airports, Universities and Smart cities.","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126583927","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}

{"title":"Dry electrodes for bio-potential measurement in wearable systems","authors":"M. Srinivasa, P. S. Pandian","doi":"10.1109/RTEICT.2017.8256600","DOIUrl":"https://doi.org/10.1109/RTEICT.2017.8256600","url":null,"abstract":"Recent advanced technology in the field of Low power VLSI design, wireless communication and mobile based systems has shown significant scope towards the development of an alternate method of measuring biopotential signals using dry electrodes as the sensors. These electrodes can be used for long duration monitoirng of physiological signals. The conventional gel based wet Ag/AgCl electrodes are being used universally in all clinical applications for the measurement of biopotential signals like ECG, EEG, and EMG etc. The wet electrodes give excellent signal output, but they have the drawback that, they cannot be used for long duration monitoring as the gel dry out over a period of time, also the gels cause rashes and irritation to the skin when used for longer durations. The recording of ECG signals on subjects with lots of hair in the regions where electrodes are to be placed is difficult due to loss of contact between electrode and skin surface. The paper proposes a wearable physiological monitoring system that uses a novel dry electrode suitable for long duration monitoring of ECG signals. Three types of dry electrodes viz. textile electrodes, needle array electrode and a Silver coated surface electrodes were fabricated and tested for acquisition of ECG signals. The dry electrodes are fabricated as Active Electrodes thereby enabling better signal quality. The recording from the dry electrodes are compared to that of the wet electrodes and the recordings are compared and discussed.","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128818923","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}

{"title":"In-loop filter for H.264/AVC","authors":"G. Poornima, S. Kumar, S. Ramachandran","doi":"10.1109/RTEICT.2017.8256992","DOIUrl":"https://doi.org/10.1109/RTEICT.2017.8256992","url":null,"abstract":"In H.264/AVC, block — based transformation, quantization, scaling, inverse scaling and inverse transformation are applied for the reconstruction of future reference frame in the encoder to diminish spatial and also temporal redundancies. With block-based coding technique, at block boundaries discontinuities are created which are known as blocking Distortions. These are predominant at block boundaries and this affects image during the reconstruction process and is one the most infuriating blocking distortion in video and image compressions. These blocking Distortions deteriorate the image or video quality. To overcome this problem, and to recover the frame of image or video, quite a few algorithms have available. In this paper we proposed and implemented In-Loop filtering algorithm to smoothen the Distortions of compressed image. The performance of the reconstructed image after the in-loop filtering is measured by the conventional parameters such as prediction gain and Peak Signal to Noise Ratio.","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131320493","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}

{"title":"Malicious web content detection using machine leaning","authors":"Anand Desai, J. Jatakia, Rohit Naik, Nataasha Raul","doi":"10.1109/RTEICT.2017.8256834","DOIUrl":"https://doi.org/10.1109/RTEICT.2017.8256834","url":null,"abstract":"Naive users using a browser have no idea about the back-end of the page. The users might be tricked into giving away their credentials or downloading malicious data. Our aim is to create an extension for Chrome which will act as middleware between the users and the malicious websites, and mitigate the risk of users succumbing to such websites. Further, all harmful content cannot be exhaustively collected as even that is bound to continuous development. To counter this we are using machine learning-to train the tool and categorize the new content it sees every time into the particular categories so that corresponding action can be taken.","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115367454","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}

{"title":"Comparative study of methods to determine fractal dimension","authors":"Juil J. Zode, P. Choudhari, M. Uparkar","doi":"10.1109/RTEICT.2017.8256635","DOIUrl":"https://doi.org/10.1109/RTEICT.2017.8256635","url":null,"abstract":"The paper focuses on detection of branch retinal vein occlusion as it is the most common type of occlusion seen leading to sudden vision loss. A novel method of Fractal Analysis is used for analysis of this disorder. This paper focuses on comparative study of methods to determine fractal dimension. The methods used are mass-radius method and box counting method. The implementation work using mass-radius and box counting method is also discussed along with the algorithm used. The algorithm of mass-radius and box counting method is applied on both normal as well as occluded retinal vessels and the results are obtained for the same.","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124417949","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}

{"title":"Analysis and verification of key performance parameters of cellular network on CEMoD portal","authors":"Chennabassamma, R. Sumathi","doi":"10.1109/RTEICT.2017.8256969","DOIUrl":"https://doi.org/10.1109/RTEICT.2017.8256969","url":null,"abstract":"There is a considerable gap between a Communication Service Provider's (CSP) expectation of delivered customer services (experience) and the genuine encounter of the end clients. To guarantee that client desires are met, it is essential to carry out network parameters improvement. The network parameters improvement is achieved using Key Performance Indicator (KPIs) and Key Quality Indicators (KQIs). Quality of Service (QoS) gives the complete network functioning record based on both KQIs and KPIs. A wide range of evaluation are conducted using the KPI and KQI to progress mobile network services. The work consists of KPI/KQI analysis and verification of distinct test case scenarios. Real time data of mobile network is collected and given to the Hadoop database which will form the test data. The java codes are written to obtain the KPI/KQI values. The KPI/KQI values calculated are validated against the values reported on Customer Experience Management on Demand (CEMoD) product to verify the integrity of the product. Evaluation of these KPI/KQIs for their applicability in the telecom industry and effect on CSPs has been studied. The study is carried out at Nokia Solutions and Networks. The paper is based on the mobile network data and the method of KPI/KQI evaluation adopted by the Nokia Solutions and Networks.","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124427857","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}

{"title":"Simulation of optimized load balancing and user job scheduling using CloudSim","authors":"Venkateshwarlu Velde, B. Rama","doi":"10.1109/RTEICT.2017.8256824","DOIUrl":"https://doi.org/10.1109/RTEICT.2017.8256824","url":null,"abstract":"Right from the invention of World Wide Web (WWW) by Tim Berners Lee, Internet became a platform that has highest impact on people of all walks of life. In fact the world is shrinking and became a small village and virtual platform without which individuals and businesses cannot be assumed now. Of later based on Internet a new technology known as cloud computing came into existence. Cloud computing is a new model of computing which helps haring pool of resources in pay per use fashion. The services it bestows include software, platform and infrastructure. Cloud data centres play a vital role in providing storage service to users. The huge computing resources provided by cloud service providers are to be utilized optimally in order to provide sustainable services to users. However, it is a challenging problem to be addressed. Load balancing is one of the techniques employed to optimize resource allocation and ensure high availability and performance of cloud computing. In this project cloud partitioning approach is extended for effective load balancing and resource optimization. Besides the ideal refresh period which determines changes in the state of partitions of data centre for optimized resource utilization. CloudSim is the simulation framework used to build a prototype application for demonstrating the proof of concept. Our results showed that the proposed solution improves performance, throughput and utilization of cloud resources.","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114369768","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}