Aswanth A, M. E., Rajendran K, Sanjay Krishnan E M, S. Duttagupta
{"title":"Meeting Delay guarantee in Telemedicine service using SDN framework","authors":"Aswanth A, M. E., Rajendran K, Sanjay Krishnan E M, S. Duttagupta","doi":"10.1109/R10-HTC53172.2021.9641695","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641695","url":null,"abstract":"Many real-time systems require end-to-end delay guarantee. After coronavirus (Covid 19) infection spread throughout the world, adoption of telemedicine service has become extremely important. Effective telemedicine may involve providing services having different delay and bandwidth requirements. The traditional network protocols are not suitable for providing Quality of Service (QoS) as the Internet operates in best-effort mode. We explore a solution based on Software Defined Networking (SDN) to offer services varying in end-to-end delay and bandwidth requirements. We leverage programmability and centralized view of SDN network and propose a strategy where different telemedicine services may follow routes based on the available bandwidth on links and total delay along a path from the source to destination. Our simulation results show that the strategy is able to scale to a large number of requests and a large percentage of flows is able to meet the delay requirements.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115260724","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":"Extracting Vehicular Mobility Dynamics from Taxi Fleet Trajectories","authors":"K. Obias, E. Magsino","doi":"10.1109/R10-HTC53172.2021.9641652","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641652","url":null,"abstract":"Understanding the movements, characteristics, and behaviors of passengers and vehicles in vehicular networks can be achieved by extracting the dynamics from available mobility traces of taxis plying the roads of an urban city. In this study, we mine cars and motorcycles trajectories from a developing country and observe if there are differences in their behaviors and movements as public transports. In particular, we extract the social and operational dynamics from the vehicular trips and will be used to investigate how vehicles and passengers move from its origin location to its desired destination point. Furthermore, these social and operational features can be used to improve road regulations and policies and develop new public transportation routes. Extracted data from cars and motorcycles trips reveal a similarity in their mobility pattern dynamics characteristics in terms of origin-hotspot combination, travel distance efficiency, and vehicular interactions.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122078733","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":"Evaluation of Interactive Modalities Using Preference Factor Analysis for Wheelchair Users","authors":"K. S. Priyanayana, A. Jayasekara, R. Gopura","doi":"10.1109/R10-HTC53172.2021.9641549","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641549","url":null,"abstract":"Losing the ability to move is one of the major issues that weaken the independent living ability of elderly/disabled people. To solve this issue, mobility assistive devices such as Intelligent Wheelchairs (IW) are being developed. In terms of the interactive modality, there are two main modality systems used in intelligent wheelchairs namely unimodal systems and multimodal systems. To justify the need for multimodal interactive capabilities over the unimodal interactive capabilities for an intelligent wheelchair, a proper human study should be conducted before developing the wheelchair. Studies that can be referenced in the existing literature have failed to compare the two interactive modalities using user preferential factors such as social factors, personal or individual factors, and technical factors. Technical performance analyses that have been conducted either excluded user perspective or excluded the interactive modality performance. Therefore, the purpose of this paper is to provide a detailed analysis of a study that would comprehensively analyze not only the personal, social or cultural factors, also technical factors that would affect the final preferential outcome of the interactive modality system for a prospective wheelchair. This analysis is conducted from the user's perspective and further validates the performance of the interactive modality in a wheelchair user context through technical performance analysis. Also, this paper analyses the user preferential factors different age groups and social groups prioritize in selecting an interactive modality.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129612926","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. Chakrabarti, Niket Narayan, Asha Joy Jacob, D. Maji
{"title":"Filter Paper based Micromixer using Wax Crayon as Channel Barriers","authors":"A. Chakrabarti, Niket Narayan, Asha Joy Jacob, D. Maji","doi":"10.1109/R10-HTC53172.2021.9641690","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641690","url":null,"abstract":"Miniaturized devices that utilize the fluidic properties of analytes at the microscopic scale, popularly known as microfluidic devices, have significant advantages over systems of a larger scale. Analysis of samples can be done using much lower sample, reagent and chemical volumes. Further, the portable nature as well as low power requirement of these devices makes them appropriate for point of care testing or infield testing. Paper has shown great potential for similar analytical devices due to its widespread availability, low costs and flexibility. Present article is an attempt to fabricate low-cost paper-based microfluidic mixers using different channel barrier materials and validating efficacy of a cost-effective crayon wax as barrier over low graded filter papers. Results showed that crayon wax coated filter papers proved to be highly effective in confining several fluids available in common household items using a low graded economical filter paper. Further, micromixers were also developed and successfully demonstrated proving an efficacy of the above technique in realizing low-cost point-of-care analytical device for household purposes.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114685945","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}
S. Sakib, N. Yasmin, Ihtyaz Kader Tasawar, A. Aziz, Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan
{"title":"Performance Analysis of Machine Learning Approaches in Diabetes Prediction","authors":"S. Sakib, N. Yasmin, Ihtyaz Kader Tasawar, A. Aziz, Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan","doi":"10.1109/R10-HTC53172.2021.9641737","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641737","url":null,"abstract":"Diabetes is a major chronic syndrome caused by a series of metabolic abnormalities in which blood glucose levels are abnormally high for an indeterminate amount of time. It influences various organs in the human body, resulting in a variety of complex diseases such as stroke, renal disease, pulmonary embolism, eyesight, and so on. Diabetes Disorders (DD) are presently one of the healthcare top causes of mortality. Predictive analytics in the health care system is a huge obstacle, but if accurate early prediction is achieved, the potential risk and degree of diabetes may be significantly decreased. Machine learning (ML) techniques are now used to analyze medical datasets at an earlier stage of life in keeping people safe. In this research, we utilized several ML approaches notably Logistic Regression, Decision Tree (DT), XGBoost, Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Random Forest (RF) on PIMA Indian Diabetes Dataset in order to monitor and evaluate their performances in diabetes prediction. The performance of the various ML algorithms employed in this research suggests which algorithm is most suitable in diabetes prediction. It is observed that among all the models XGBoost had outperformed the other ML techniques with an accuracy of 80.73% while SVM was the second-best performing model with a classification accuracy of 80.21%. Thus, employing ML techniques, this study aims to assist doctors as well as clinicians in the early detection of diabetes.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131450465","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":"Classification of Organic and Solid Waste Using Deep Convolutional Neural Networks","authors":"Rushnan Faria, Fahmida Ahmed, Annesha Das, Ashim Dey","doi":"10.1109/R10-HTC53172.2021.9641560","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641560","url":null,"abstract":"The total amount of waste is increasing all around the world day-by-day especially in urban areas. The increasing amount of unprocessed waste is very dangerous to mankind as it creates severe pollution in the environment. Most of this wastage is recyclable. For recycling, the waste needs to be separated at first, as different types of waste require different recycling techniques. But unfortunately, categorizing waste manually is very costly and time-consuming. So, in this work, a method is proposed to automatically classify waste into four categories. For this, a dataset named OrgalidWaste is prepared by collecting images from four other waste datasets. The prepared dataset contains around 5600 images with four classes including one organic waste class and three solid waste classes (glass, metal, and plastic). On this dataset, several CNN architectures including 3-layer CNN, VGG16, VGG19, Inception-V3, and ResNet50 have been implemented for training. Among them, VGG16 outperforms other models with 88.42% accuracy. It is believed that this work will be greatly beneficial in the waste management sector.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131017956","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}
Prashobh Karunakaran, M. S. Osman, Prashanth Karunakaran, S. Karunakaran, Arjun Karunakaran, C. Sabang, S. Thomas, Andy Edwin
{"title":"Prototype Archimedes Screw Microhydro on a River without Head","authors":"Prashobh Karunakaran, M. S. Osman, Prashanth Karunakaran, S. Karunakaran, Arjun Karunakaran, C. Sabang, S. Thomas, Andy Edwin","doi":"10.1109/R10-HTC53172.2021.9641086","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641086","url":null,"abstract":"Archimedes screw turbine (AST) is the optimum energy source for rural non-grid connected villages of Sarawak because it is located between 1–5° north of the equator and therefore has among the highest rainfall volume of earth. There is also a long mountain range between Sarawak and Indonesia. This provides flow and head required for hydroelectricity production. This research focuses on a village named Long Luyang which only has a fast flowing river without head. Therefore a prototype AST system was developed to iron out all the nuances of hydroelectric production at that site. Despite the interest in AST these days, there is a research gap as most hydroelectricity research is done for high flow and high head regions found near mountains which are not conducive for human settlements due to the high energy needed to live under the constant influence of gravity. Currently in Sarawak, villages where the grid cannot reach are supplied with solar PV. But the high cloud cover, high heat of the equator plus the empirical fact that villagers tend not to manage the battery banks well renders most of these systems a failure beyond two years.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130428903","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":"Sentiment analysis on covid-19 vaccine using Twitter data: A NLP approach","authors":"Kainat Khan, Sachin Yadav","doi":"10.1109/R10-HTC53172.2021.9641515","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641515","url":null,"abstract":"Sentiment analysis is the process of mining the perception of people towards a service, product, policy or imminent issue from textual data. In this project, tweets relevant to Covid-19 Vaccine are extracted utilizing the Tweepy library. Next, tweet texts are converted into usable form in order to do sentiment analysis. After this, SentiWordNet lexicon is used to label the sentiment of the tweets. Stop words removal, Lemmatizing, stemming operations are also applied on the COVID-19 Vaccine tweets text data. Count Vectorizer and Tfidf Vectorizer are applied for mathematical conversion of the preprocessed text. Then, nine classification techniques namely - Multinomial-NB, Bernoulli-NB, Logistic-Regression, Ridge Classifier, Passive-Aggressive-Classifier, Perceptron, Random Forest classifier, AdaBoostClassifier and Linear SVM are applied on the dataset obtained for sentiment classification and results are obtained in terms of accuracy. The best cross validation test score obtained is 0.785 with Logistic Regression Classifier and TfidfVectorizer.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129211938","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}
Mrinalkanti Roy, Dasari N. S. Romit, Vaishnav Chunduru, Rajeevlochana G. Chittawadigi, S. Saha
{"title":"Interactive Image Projective Desktop and Screen Using Hand Tracking by Leap Motion","authors":"Mrinalkanti Roy, Dasari N. S. Romit, Vaishnav Chunduru, Rajeevlochana G. Chittawadigi, S. Saha","doi":"10.1109/R10-HTC53172.2021.9641627","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641627","url":null,"abstract":"Interactive display units have been used extensively in mobile phones and digital tablets. Their usage on a larger screen is still limited due to the higher costs. An alternative method is to use a projector to display on flat surfaces and use sensors to determine the interaction with the surface by the end-user. One such attempt was SAKSHAR IDVT (Interactive Desktop Varnamala Trainer), reported elsewhere, which used a laser range finder to detect a human touching a flat surface on which educational games were projected. The authors have replaced the expensive laser range finder with an inexpensive Leap Motion device in SAKSHAR and found it to be suitable for converting any non-touch display screen as a touch-based display. The calibration steps, the methodology and the results of the new SAKSHAR system have been reported in this paper. Also, a regular television (LCD) connected as a display unit from a computer is integrated with the Leap Motion device to make it an interactive screen using the hand tracking of the end-user. The methodology and the results of the survey conducted on a set of users on the usability of both systems are reported in this paper, which suggests their acceptance as interactive and intuitive devices.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126419126","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}
Sravan Kumar, S. Sai, A. Shanmukha, K. Jayachandra, P. P. Reddy, Ganesh R Narayanan, V. Ajith
{"title":"Water Scarcity: A Technical Assessment for Improved Resource Utilization in a Rural Indian Village","authors":"Sravan Kumar, S. Sai, A. Shanmukha, K. Jayachandra, P. P. Reddy, Ganesh R Narayanan, V. Ajith","doi":"10.1109/R10-HTC53172.2021.9641699","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641699","url":null,"abstract":"Global water scarcity is one of the most challenging problems agriculture is facing. A 2012 World Bank report on India Groundwater identified India as the highest consumer of groundwater in the world, spurred by its availability and subsidized cost. India faces the dilemma of regulating the insatiable demand for groundwater, while replenishing its sources. Extensive surveys of a village in the southern India State of Andhra Pradesh, revealed that water scarcity is causing hunger, affecting human health and ensuing in poverty. This paper is a report on studies of the community's water usage patterns and its grim ground groundwater situation. We use Participatory Rural Appraisal and Human Centered Design methods to understand and analyze the challenges faced by the people. Based on these studies, we propose an IoT (Internet of Things) based groundwater and water distribution monitoring system, an IoT based weather station, aquifer recharge and atmospheric water generation solutions. Our study proposes a holistic method towards mitigating the problem.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116272100","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}