J. Prinosil, Petr Kriz, K. Říha, M. Dutta, Ashish Issac
{"title":"Facial image de-identification using active appearance model","authors":"J. Prinosil, Petr Kriz, K. Říha, M. Dutta, Ashish Issac","doi":"10.1109/ICETCCT.2017.8280304","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280304","url":null,"abstract":"Nowadays, the task of preservation of personal data present in public audio-visual records becomes more important. This paper describes an image processing method for de-identification of visual personal data based on a facial image. There are many primitive methods with high robustness but image quality of de-identified data is usually very poor. The advantages of this proposed method include especially very good results in quality preservation of the original image data and the possibility of a partial image reconstruction from de-identified data. The main objective has been achieved by using Active Appearance Model algorithm tested on a created database with the overall success rate of automatic recognition tool around 0.8 %. The de-identified image data look also authentic and it is possible to determine the expression or gender of the de-identified person.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"394 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126745746","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}
N. Tiwari, S. Chaturvedi, Ashutosh Kumar Singh, R. S. Singh
{"title":"Mathematical modeling and simulation study PV module used in SUN tracking system","authors":"N. Tiwari, S. Chaturvedi, Ashutosh Kumar Singh, R. S. Singh","doi":"10.1109/ICETCCT.2017.8280319","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280319","url":null,"abstract":"This paper Presents the mathematical model and simulation results of PV cells used in real time developed sun tracking system. Simulation results explained the effect of various parameters on the solar cell characteristics. Which will be helpful for solar power plant designers. Effect of series and parallel resistance in practical cells also presented here. Simulation results are explained for maximum power point will be helpful for the researchers. In this mathematical analysis, the effect of irradiance and temperature on solar cell characteristics shows how the IV curve deviated from its original characteristics. In the simulation results, comparative study of Tracking and Static SPV system also presented.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121087996","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}
A. Bhattacharya, Mohan Mishra, Anushikha Singh, M. Dutta
{"title":"Machine learning based portable device for detection of cardiac abnormality","authors":"A. Bhattacharya, Mohan Mishra, Anushikha Singh, M. Dutta","doi":"10.1109/ICETCCT.2017.8280307","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280307","url":null,"abstract":"Heart auscultation is a useful method for diagnosis of cardiac diseases using conventional stethoscope. This paper proposes a convenient, efficient and non-invasive device for automatic detection of cardiac abnormalities. The conventional method takes time and involves medical professionals for detection. Diagnosis of cardiac diseases using automatic diagnosis of heart sounds will be very useful in primary health care (PHC) centers where professional help is unavailable. The proposed work presents a machine learning based portable device for real time diagnosis and classification of cardiac diseases using heart sound. The proposed device is a battery operated and standalone device and uses a low cost 1.2 GHz quad core processor and a digital medical instrument to record and listen the heart sound which indicates that the proposed device is efficient and a low cost device making it suitable for applications in real time.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132111477","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":"Data collection maximization of EH-WSN using mobile sink","authors":"Nishtha Joshi, Parul Kansal","doi":"10.1109/ICETCCT.2017.8280294","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280294","url":null,"abstract":"In this paper a novel approach of data collection using mobile sink is considered for energy harvesting wireless sensor network. Data collection through mobile sink conserves the fast depletion of energy so energy hole problem can be reduced by using this. Sensor are powered by energy renewable resources and depleted along a path. Whenever we design a network, time varying characteristics of EH poses a great challenge. So in this paper we formulate a network that deals with multi-rate transmission and parallel transmission-time scheduling. So for real distributive network where each sensor has different transmission power, an independent component gauss seidel algorithm (ICGS) is devised for the optimal path selection and data selection. In addition a special case is also considered where each sensor has same transmission power. We finally conduct extensive experiments by simulation in MATLAB, to evaluate the performance of the algorithm.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125279648","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 analysis of different structures of photovoltaic cell based on organic materials","authors":"K. Kukreti, A. Rathod, S. Negi, Vivek Chamoli","doi":"10.1109/ICETCCT.2017.8280321","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280321","url":null,"abstract":"This research paper is an effort to present an introduction information organic Photovoltaic cells profundity (Organic Photovoltaic cells) OPVs. Consequently, this paper discusses different organic photovoltaic cells as far as material, structures, and other impacting factors. Besides the study of organic Photovoltaic cells is incorporated into terms of (current density) JSC, (fill factor) FF, (short-circuit current) ISC, (open-circuit voltage) VOC and (efficiency) η. This also tells us about the distinctive sorts of (organic photovoltaic cells) OPV, Besides this, Photovoltaic cell examination is done utilizing Atlas simulator as it is a 2D numerical device simulator where effect for variation in thickness of various organic Photovoltaic cells on execution factor is performed.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"455 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125793878","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}