2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)最新文献

{"title":"Network lifetime aware anchor selection for energy harvesting wireless sensor networks","authors":"A. Amin, A. Rouf, Nusrat Mehajabin, M. Razzaque","doi":"10.1109/R10-HTC.2017.8289024","DOIUrl":"https://doi.org/10.1109/R10-HTC.2017.8289024","url":null,"abstract":"Advances in renewable energy harvesting technologies have initiated great possibilities in wireless sensor networks with energy harvesting nodes. Network lifetime now depends not only on the residual energy of the nodes but also on their energy harvesting rates. Mobility of data sink has added a new dimension to data collection techniques as well. This paper focuses on lifetime maximization of EHWSNs using an anchor selection algorithm which is regulated by an energy harvesting-aware weighted average function. The algorithm yields a set of EH-sensor nodes as anchors and a mobile data collector collects data from these anchors. The results of experiments show that our anchor selection algorithm out performs traditional lifetime maximization algorithms.","PeriodicalId":411099,"journal":{"name":"2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116679010","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":"Combined approach of tokenization and mining to secure and optimize big data in cloud storage","authors":"Shanto Roy, Ahmedur Rahman Shovon, Md. Whaiduzzaman","doi":"10.1109/R10-HTC.2017.8288912","DOIUrl":"https://doi.org/10.1109/R10-HTC.2017.8288912","url":null,"abstract":"The era of technology is now shifting towards the Cloud Computing and today's computation tends to be provisioned as a service rather than a product. Recently Cloud Computing has become more portable and flexible in such way so that we call it having a super computer in our pockets. Despite the potential application of cloud computing, data security is still questionable in privacy issue due to insider threats and data breaches. After the internet of things (IoT) emerges, in Big data arena both data security and storage optimization at the same time has been a crying need. In this paper, we propose an enhanced framework of security model including tokenization with a view to eradicating the privacy issue of sensor data and ensuring storage optimization. Tokenization provides a wider range of security by protecting data from malicious insider threats or data breaches in cloud. Our proposed tokenization process optimizes cloud storage instances as well with a little prior mining in order to convert large data sets into small ones.","PeriodicalId":411099,"journal":{"name":"2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"303 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114588289","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":"Fractal feature based early breast abnormality prediction","authors":"Anindita Roy, Usha Rani Gogoi, Dipak Hrishi Das, M. Bhowmik","doi":"10.1109/R10-HTC.2017.8288896","DOIUrl":"https://doi.org/10.1109/R10-HTC.2017.8288896","url":null,"abstract":"Breast cancer is associated with high mortality rates in women of both developing and under developed countries. Moreover, due to the poor medical facilities and lack of awareness, this mortality rate is higher in rural areas than that of the urban areas. Hence, to reduce this high mortality rate, the early detection of the breast diseases before the onset of the cancerous mass is very crucial. Among various breast imaging modalities, X-ray Mammography stands out to be the gold standard modality for Breast cancer detection. But vulnerability of women below 40 years towards radioactive exposure of X-ray mammography necessitates the concerned research community to explore avenues devoid of radioactive hazard as well as preferably non-invasive. Infrared Thermography (IRT) meeting such important requirements can be used as an adjunctive tool in breast abnormality detection of women of all age groups. Besides, due to its portability and cost effective nature, it can be used as a routine checkup tool for patients in remote areas and thus, can point out the subjects who requires urgent medical attention. To validate the predictability of both mammography and thermography in breast cancer detection, this paper develops a suspicious region based breast abnormality detection system. The paper investigates the efficacy of fractal features over the most widely used texture features in anomalous region based breast abnormality prediction from both mammograms and thermograms. We focus on fractal features in discriminating the abnormal and severe abnormal breast images from the normal and mild abnormal breast images by observing the difference in fractal dimension and lacunarity values. We investigated that the combination of fractal dimension and lacunarity features gives prediction accuracy of 95.94% on the mini-MIAS mammogram dataset of 128 images and 86.11% on a newly created DBT-TU-JU breast thermogram dataset of 36 abnormal images as compared to 79.31% and 78.94% using texture features, respectively. The experimental results reveal that the fractal features are more efficient in disease affected region based breast abnormality prediction from both mammograms and thermograms.","PeriodicalId":411099,"journal":{"name":"2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132047309","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 of diffraction properties of micro-lens array (MLA) engraved optical fibers for biomedical applications","authors":"Rabita Hasan, Md. Shamim Ahsan","doi":"10.1109/R10-HTC.2017.8288955","DOIUrl":"https://doi.org/10.1109/R10-HTC.2017.8288955","url":null,"abstract":"To control the diffraction properties of light using micro-structure optical fiber having internal structures are well known modern techniques that are employed for diverse applications of human life. If front part of the optical fiber is changed with Concave shape, it will act like a lens and light will be diffracted from the micro-lenses. Light coming out from these micro-lenses will interfere and different interference pattern are expected to be formed at the surface plane of any object. Using this phenomenon, we design micro-lens array (MLA) engraved optical fibers. The work presented in this paper provides a design concept and simulation results of Concave micro-lens array engraved optical fibers. The circular shape micro-lenses are considered for micro-structuring the optical fiber tip position. Light beam profile and light intensity are analyzed at various location after the end of fiber tip. The simulation results of this paper show that the MLA engraved optical fibers will be able to provide improved light output with intense light beam profile.","PeriodicalId":411099,"journal":{"name":"2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134353171","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":"Technology-based public policy interventions to enhance access to health care support: A study in the context of rural bangladesh","authors":"M. Afzal, L. Daniel Cravens","doi":"10.1109/R10-HTC.2017.8288938","DOIUrl":"https://doi.org/10.1109/R10-HTC.2017.8288938","url":null,"abstract":"Bangladesh is one of the most populous countries in the world and the current population is 165.06 million. Almost more than half of the total population does not have proper access to proper healthcare support due to the shortage of the appropriate number of healthcare facilities and registered doctors. The latest research analysis and study conducted by WHO states that now there's only 3 doctors and 3 nurses per 1000 people in Bangladesh. Further comprehensive research indicates that there are certain rural and remote locations in Bangladesh where there are no available hospitals and/or registered doctors to provide required health care facilities. Thus, against this backdrop, there is an it is urgent need to understand whether and how the government could utilizes IT tools such as mobile apps to facilitate access to health care support. This exploratory research study thoroughly focuses on the various problematic areas in rural health care facilities available to the rural population of Bangladesh, and proposes an alternative and sustainable approach to overcome such gap in medical services for this underserved population.","PeriodicalId":411099,"journal":{"name":"2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134492308","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":"EEG based biometrics using emotional stimulation data","authors":"Raihan Khalil, A. Arasteh, A. K. Sarkar","doi":"10.1109/R10-HTC.2017.8288949","DOIUrl":"https://doi.org/10.1109/R10-HTC.2017.8288949","url":null,"abstract":"EEG based biometrics using linear Support Vector Machine (SVM) is proposed in this paper. Human identification using electroencephalographic signal was done in this research. Reliability of most of the biometrics systems is not up to the mark because of the possibility of being faked or duplicated. Here, the brain signatures were used as a possible biometric identifier. A Database for Emotion Analysis using Physiological Signals containing 40 trials from each participant was used. International 10–20 system of EEG electrode placement was employed and data from Cz electrode was taken for this research. Some researches showed nice performance with few subjects. Here, 20 subjects were used from the dataset for the system. With this, the system gives 77% mean precision and at the same time 100% detection accuracy.","PeriodicalId":411099,"journal":{"name":"2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116667239","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":"Beamwidth reduction of binomial array for 5G communications","authors":"A. Baki","doi":"10.1109/R10-HTC.2017.8288905","DOIUrl":"https://doi.org/10.1109/R10-HTC.2017.8288905","url":null,"abstract":"The world will witness the use of 5G wireless technologies by 2020. Wireless systems with higher power efficiency and lower interference level is required to increase the bit rate, and communication range. Millimeter wave systems require miniaturized array antenna with higher directivity, narrower spatial zone and reduced interferences. It is impractical to use enough space for antenna placement in some applications. For example antenna systems in air-borne and vehicular radars cannot use enough space due to design limitations. This paper describes a power efficient method of beamforming algorithm by using a novel concept of Fractional-Powered Binomial Array (FPBA). Main Beamwidth of FPBA is much narrower, which is power efficient, than that of popular Binomial array. Beamwidth and Side lobe levels of FPBA is controllable through a single parameter. Binomial array suffers from ‘non-linearity of amplifier problems’ at mmW systems. These problems can be minimized through FPBA algorithm.","PeriodicalId":411099,"journal":{"name":"2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"7 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125860218","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":"Influence of differential features in focal and non-focal EEG signal classification","authors":"O. K. Fasil, R. Rajesh, T. M. Thasleema","doi":"10.1109/R10-HTC.2017.8289042","DOIUrl":"https://doi.org/10.1109/R10-HTC.2017.8289042","url":null,"abstract":"Electroencephalogram (EEG) is the best bio-medical modality to capture the brain functions because of its abundant availability at low cost. The recent development of methods for feature extraction and classification has led to the improved understanding of the brain functions, better diagnosis and treatment of brain disorders. This paper focuses on the influences of differential features in focal and non-focal EEG epilepsy classification. Experimental results depicts that the capability of differential features in classification of epileptic EEG signals is promising.","PeriodicalId":411099,"journal":{"name":"2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123421043","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":"R3Arm: Gesture controlled robotic arm for remote rescue operation","authors":"P. Sarker, F. Abedin, Farshina Nazrul Shimim","doi":"10.1109/R10-HTC.2017.8288991","DOIUrl":"https://doi.org/10.1109/R10-HTC.2017.8288991","url":null,"abstract":"In this paper, a low-cost gesture-controlled robotic arm system, namely R3Arm (Remote Rescue Robotic arm) is developed for the remote rescue operation. It offers remote manipulation with ease of portability. The robot can be deployed to places where no humans can go and has the ability to become part of massive rescue operations. It also offers live video feed of its operation and can save human life stuck in difficult situations if built with the proper structure which certifies the advantage of its modular body. The robot's arms are equipped with claws and possess three degrees of freedom which helps to grab and move a wide variety of things. Extensive testing has been carried out with the developed robot and a satisfactory performance is obtained in terms of gesture response, communication range and dynamic video feedback at different conditions.","PeriodicalId":411099,"journal":{"name":"2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121688940","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":"Analytical modeling and performance analysis for symmetric double gate stack-oxide junctionless field effect transistor in subthreshold region","authors":"Raisa Fabiha, C. Saha, M. Islam","doi":"10.1109/R10-HTC.2017.8288963","DOIUrl":"https://doi.org/10.1109/R10-HTC.2017.8288963","url":null,"abstract":"In this paper, we propose a two-dimensional analytical model of single material symmetric Double Gate Stack-Oxide Junctionless Field Effect Transistor (DGS-JLFET) for subthreshold region. This model has been investigated and expected to improve subthreshold characteristics and minimize short channel effects. The characteristics of DGS-JLFET are compared with those of the single material symmetric Double Gate Junctionless Field Effect Transistor (DG-JLFET). Our proposed DGS-JLFET exhibits higher Ion/Ioff ratio, less subthreshold swing (SS) and less drain induced barrier lowering (DIBL) when compared to DG-JLFET.","PeriodicalId":411099,"journal":{"name":"2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125877741","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}