2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)最新文献_第2页

A Covid-19 Safety Web Application to Monitor Social Distancing and Mask Detection 监测社交距离和口罩检测的Covid-19安全Web应用程序

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641671

S. Subhash, K. Sneha, A. Ullas, Deepthi Raj

引用次数: 1

Segmentation of Temporomandibular Condyle in MR images using Marker-Controlled Watershed and Random Walks 基于标记控制分水岭和随机漫步的颞下颌髁MR图像分割

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641714

P. Prabhu, Karunakar A. Kotegar, N. Mariyappa, H. Anitha, G. Bhargava, J. Saini, Sanjib Sinha

引用次数: 1

An Elegant Experimental Setup for Accurate Presentation of Dichoptic Stimuli 一个精确呈现二元刺激的优雅实验装置

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641648

Jerrin Thomas Panachakel, A. G. Ramakrishnan, Kanishka Sharma

{"title":"An Elegant Experimental Setup for Accurate Presentation of Dichoptic Stimuli","authors":"Jerrin Thomas Panachakel, A. G. Ramakrishnan, Kanishka Sharma","doi":"10.1109/R10-HTC53172.2021.9641648","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641648","url":null,"abstract":"We present an end-to-end system for dichoptic stimuli presentation and response capture. The lower bound for the inter-stimulus interval of the proposed system is approximately 17 ms. The efficiency of the proposed system is demonstrated using a match-to-sample (MTS) paradigm for measuring the reaction time of 29 males aged between 18 and 22 years and 29 females aged between 19 and 22 years in matching three unique hues, namely red, blue, and green. Using VR glasses ensures that the perception of the colours determined by the three attributes of hue, brightness, and saturation is precisely controlled across trials and subjects, independent of the ambient lighting. It is observed that males have around 16% shorter reaction time than females (p <0.001). Understanding sex differences in the time taken to match colours helps in a more accurate interpretation of results in studies on sex differences in cognition that use colours. It also helps better understand the disease process of neurological disorders affecting visual perception that manifest differently in males and females. The Android code for the entire system is available as open-source code.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"94 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":"130355556","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: 0

Optimization of Microgrid System for Community Electrification by using HOMER Pro 基于HOMER Pro的社区电气化微电网系统优化

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641615

M. Islam, Jannatul Mawa Akanto, Mohammad Zeyad, S. Ahmed

{"title":"Optimization of Microgrid System for Community Electrification by using HOMER Pro","authors":"M. Islam, Jannatul Mawa Akanto, Mohammad Zeyad, S. Ahmed","doi":"10.1109/R10-HTC53172.2021.9641615","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641615","url":null,"abstract":"A microgrid included multiple energy sources such as a diesel generator, photovoltaic system (PV), wind turbines (WTs), and so on. The key reason for the growth of hybrid energy technology or microgrid is the reliability, abundance of renewable energy (RE) and it can use the resources in an efficient manner. This research aims to incorporate a stand-alone community microgrid in Cumilla, Bangladesh to deliver electricity to a residential community and determine the optimum solution to satisfy total demand. The load profile is considered in this study for a residential community situated in Cumilla. Moreover, three case studies are taken into account to analyze the optimum result. The simulation analysis is executed in the optimization software that is the Hybrid Optimization Model for Multiple Energy Resources (HOMER pro). Several types of analysis are conducted such as NPV, COE, emission, energy production, and operating cost. The simulation results reveal that case 3 (solar, wind and diesel generator) is the optimum solution as it has the lowest NPV, COE, and operating cost.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"9 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":"114431830","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: 9

Cover Page 封面页

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641734

Journal

引用次数: 0

Evaluating the Role of Energy in a Poorly Developed Rural Village: How Technology can Support Energy Services for Enhanced Quality of Life 评估能源在欠发达农村的作用:技术如何支持能源服务以提高生活质量

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641723

Tadi Mownika, Sneha Ramesh, Amritha Narayanan, Adithya Ashok Nair, V. D. Gokul, LM. Frey, R. Mohan

{"title":"Evaluating the Role of Energy in a Poorly Developed Rural Village: How Technology can Support Energy Services for Enhanced Quality of Life","authors":"Tadi Mownika, Sneha Ramesh, Amritha Narayanan, Adithya Ashok Nair, V. D. Gokul, LM. Frey, R. Mohan","doi":"10.1109/R10-HTC53172.2021.9641723","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641723","url":null,"abstract":"Energy plays a significant role in elevating the lives of people all around the world. The prime purpose of this study was to investigate and assess the availability and quality of energy sources in their role in support of services imperative for stability in quality of life, health, livelihood, and education. We have focused our study on a small, impoverished village in Bihar, India. The study was conducted through semi-structured interviews with households, observational studies, meetings with government leaders, group meetings with Self Help Groups, and collecting quantitative data (income, number of appliances). Even though the power lines are available, the distribution point transformer has malfunctioned. Thus, the villagers did not have a proper power supply. They did not have many electrical appliances as well. All the villagers still depend on conventional lighting sources such as kerosene lanterns due to the lack of continuous power supply and biomass fuels, such as dung cakes, crop residue, and firewood for cooking, which negatively affect their lives. In addition, these fuels are causing health problems for the villagers. Using advanced technologies, it was determined that a modernized smokeless Chulha or smokeless stove could be designed that performs better than earlier models, which can be of meager cost. It also can reduce the use of biomass fuels. Furthermore, solar energy is a bottomless source of sustainable electricity, besides its limitless source of light and heat. These are demonstrated in the paper. Such interventions augment the quality of life and health of villagers in underdeveloped, impoverished communities.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"355 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":"121325086","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: 3

Sentiment Analysis in Indian Sub-continent During COVID-19 Second Wave using Twitter Data 利用Twitter数据分析2019冠状病毒病第二次浪潮期间印度次大陆的情绪

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641559

Meghana Bl, Sanskriti Midha, V. R. Murthy Oruganti

引用次数: 0

Real-Time Slip Detection using Tactile Information 基于触觉信息的实时滑动检测

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641576

Nabasmita Phukan, N. M. Kakoty, Manoj Sharma

引用次数: 1

Factors behind higher COVID-19 recovery and lower fatality rates in India - need for a focused study 印度COVID-19康复率高、死亡率低背后的因素——需要进行重点研究

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641736

A. Ramakrishnan, Kanishka Sharma

{"title":"Factors behind higher COVID-19 recovery and lower fatality rates in India - need for a focused study","authors":"A. Ramakrishnan, Kanishka Sharma","doi":"10.1109/R10-HTC53172.2021.9641736","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641736","url":null,"abstract":"It is an undisputed fact that the COVID-19 recovery rate of 97.6% and the death per million of 314 in India (as of 28 Aug 2021) are significantly better than the corresponding values in the USA, UK, France, Italy, Spain, and most of Europe, which have much better health infrastructure. Even though the population of the USA is only one-fourth that of India, the number of lives lost in the USA due to COVID is unfortunately 1.5 times that of India. Similarly, the population of Brazil is marginally lower than that of the state of Uttar Pradesh in India, but the fatalities in Brazil are 32.2% higher than that of the whole of India. Clearly, this necessitates a detailed scientific study on the causative factors behind these striking differences. It is time to study what factors cause recovery with minimal medical intervention and what lifestyle and other factors are correlated to serious complications, leading to belated recovery and sometimes death. Obesity, excessive consumption of alcohol, soft drinks, ultra-processed meat, processed food, and maida-sugar baked items may have a role to play in the health scenario in USA. On the other hand, the use of turmeric, black pepper, ginger, lemon, etc. in daily cooking and the enormous increase in awareness and the consequent consumption of Indian gooseberry, Tulasi, different decoctions (Kashaya) and the practice of various immune-boosting and breathing exercises and yogasanas might have had a role in the Indian medical scenario. A detailed study involving a sizable number of cases of recovery and death in India, Brazil, the USA, and some European countries will throw light on the causative factors behind the significant differences. The results shall provide crucial learning for managing future waves and pandemics.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"67 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":"127389721","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: 0

Vision-based Postharvest Analysis of Musa Acuminata Using Feature-based Machine Learning and Deep Transfer Networks 基于特征的机器学习和深度转移网络的木沙采后视觉分析

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641575

Christan Hail R. Mendigoria, Heinrick L. Aquino, Ronnie S. Concepcion, Oliver John Y. Alajas, E. Dadios, E. Sybingco

{"title":"Vision-based Postharvest Analysis of Musa Acuminata Using Feature-based Machine Learning and Deep Transfer Networks","authors":"Christan Hail R. Mendigoria, Heinrick L. Aquino, Ronnie S. Concepcion, Oliver John Y. Alajas, E. Dadios, E. Sybingco","doi":"10.1109/R10-HTC53172.2021.9641575","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641575","url":null,"abstract":"Traditional practice of classifying postharvest crops creates variability in quality assessment due to human-related limitations including individual disparities in visual recognition. As a solution, computer vision approach was adapted. This study aims to classify the native banana fruit to South and Southern Asia (Musa acuminata) using the image-based deep transfer networks of ResNet101, MobileNetV2, and InceptionV3, and machine learning algorithms, including classification tree (CTree), Naïve Bayes algorithm (NB), k-nearest neighbors (KNN) and support vector machine (SVM). A total of 1,164 images, derived from 194 banana tier subjects with different orientations were utilized. Color channel thresholding in CIELab(L*a*b*) color space was applied to extract the spectral (RGB, HSV, YCbCr, L*a*b*), textural (correlation, contrast, entropy, homogeneity, energy) and morphological (total area) features. These 18-feature vectors were further simplified into two most significant features (S and V) using combined neighborhood component analysis and principal component analysis (hybrid NCA-PCA). The length of the top middle finger of the banana tier was added to the features. The classification tree (CTree), regardless of feature set, was validated to have the best performance, with accuracy of 91.28% and inference time of 19.34seconds. In addition, NB, KNN and SVM models provided acceptable performance with 89.72%, 89.30%, and 89.36% accuracies, respectively. However, the deep transfer networks did not provide acceptable classification results (with ResNet101 having the highest accuracy of 50.01% among the networks used). Lastly, the proposed machine learning models served as a feasible approach in the postharvest classification of Musa acuminata.","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":"130507282","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: 8