2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)最新文献_第5页

Contactless IoT Doorbell for Covid-safe Household 用于新冠病毒安全家庭的非接触式物联网门铃

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641565

Simran Dadhich, Pritsam Dabre, Ruben Dabreo, Prachi Raut

引用次数: 2

Brain-Computer Interfacing: A method to detect pain signals in the brain of a patient under operation 脑机接口:一种检测手术病人大脑疼痛信号的方法

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641628

Rabbi Sudheer Zacharias, A. S. Prasad, DS Sai Rohith, G. N, M. Jayaram

{"title":"Brain-Computer Interfacing: A method to detect pain signals in the brain of a patient under operation","authors":"Rabbi Sudheer Zacharias, A. S. Prasad, DS Sai Rohith, G. N, M. Jayaram","doi":"10.1109/R10-HTC53172.2021.9641628","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641628","url":null,"abstract":"This is a study of the brain waves of a subject when he or she goes through any medical procedures. When a person undergoes any operation or surgical intervention for his health the surgeon will provide A paralyzing agent and a numbing agent which serves the purpose of paralyzing the specific body part where the operation is to be done so that the patient does not move his/her body during the operation, and the numbing agent is given at that specific region where the operation is to take place. Sometimes the paralyzing agent might work, and the numbing agent might not work. In this case, the patient needs to undergo the operation with experiencing the pain but will not be able to convey his pain as subject is paralyzed. So, the EEG (electro-encephalograph) device is fitted to the head of the patient immediately after both the agents are given to the patient before the commencement of the operation. Based on the study of the signals coming from the patient's brain we try to understand whether the patient is going through any pain or not. The captured signals are amplified to a range where calculations can be performed. From the known information about the pain signal, the remaining signals are filtered out using a narrow bandpass Butterworth filter of second order and this output is sent to a triggering circuit. This pain signal represents a logic high in the circuit which can be used to obtain the required output.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"124 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":"123160722","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

Modern Way of Learning Using Augmented Reality (AR) 使用增强现实(AR)的现代学习方式

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641639

Amareshwar Karatagi, B. R., Manjula R. Bharamagoudra, Yash Modi, Palem Niharika, Chinnareddy Geetha sai

{"title":"Modern Way of Learning Using Augmented Reality (AR)","authors":"Amareshwar Karatagi, B. R., Manjula R. Bharamagoudra, Yash Modi, Palem Niharika, Chinnareddy Geetha sai","doi":"10.1109/R10-HTC53172.2021.9641639","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641639","url":null,"abstract":"The main objective for developing this project is to build a platform for children that enables learning in a very efficient way. It encourages a next level of education that is free, creative and convenient. Introduction of virtual learning to the primary schools can provide a joyful learning experience to the students. The project is built using Augmented Reality technology. This technique involves 3D learning that aids the learning process and has a greater impact on the children's learning, as they are more likely to remember the facts and lessons learned. It helps children identify and organize visual information and learn skills easily. It's simply because visuals hold more appeal than plain text to those curious and intuitive young minds. Understanding and grasping concepts in their curriculum is made simple and fun with this technique of learning. The software technology used to build this application is unity3D (software) and Vuforia web portal (to create a database) as a prerequisite. Some image targets are set so that the camera can recognize the images and display a 3d model based on it. It can be done by adding some 3D assets in required fields and it is altered accordingly. After setting all these we will be able to extract an apk file from the scene created in software which can be installed in Android or iOS mobile devices or tabs. The user will be able to operate it just by scanning the specific image targets. This project is implemented at school level which can benefit in various ways. It helps to spark kids' interest in subjects. This approach promotes active learning and can encourage kids to use their creativity for their own pleasure. As they get older, the creative skills they developed in the process can be used to solve every day or even global problems. This project has a wider scope and can further be implemented in various other fields.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"81 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":"123000811","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

Impact of Pedal Powered Vehicles on Average Traffic Speed in Dhaka City: A Cross-sectional Study Based on Road Class and Timestamp 脚踏动力车辆对达卡市平均交通速度的影响:基于道路类别和时间戳的横断面研究

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641636

J. Mahmud, Khan Md Hasib, S. Sakib, Md. Imran Hossain Showrov

{"title":"Impact of Pedal Powered Vehicles on Average Traffic Speed in Dhaka City: A Cross-sectional Study Based on Road Class and Timestamp","authors":"J. Mahmud, Khan Md Hasib, S. Sakib, Md. Imran Hossain Showrov","doi":"10.1109/R10-HTC53172.2021.9641636","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641636","url":null,"abstract":"Traffic congestion has become one of the burning issues in Dhaka, the capital city of Bangladesh. Despite being a megacity, the lack of adequate road space, uncontrolled vehicles, and dense population have left Dhaka stranded. Rickshaw, a three-wheeled pedal-powered slow vehicle, famous to the city dwellers, can be found running on most Dhaka city roads. So, rickshaw plays an indispensable role in estimating the average traffic speed of Dhaka city. This paper studies traffic patterns of Dhaka city intensively and calculates the average traffic speed of the town considering two significant aspects- 1) three road classes (primary, secondary and tertiary), and 2) four timestamps in a day (midnight, morning, afternoon and night). The timestamps are chosen so that it can reflect the condition of traffic intensity in Dhaka city based on the urbanites' quotidian activities. This paper estimates the average traffic speed on those three different road classes for each of the four different timestamps using 1,56,630 records traced from 25 different road segments for 15 days. The paper also estimates the rickshaw free roads' average speed and the non-rickshaw open roads to be 20 km/h and 11 km/h, respectively. Although the infrastructures are not the same for all streets, the findings in this paper possess an excellent estimation for the individual road and the whole city.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"179 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":"122543649","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

Identification of Philippine Maize Variety Using Convolutional Neural Network with Kernel Morphological Phenes Characterization 基于卷积神经网络的菲律宾玉米品种籽粒形态特征鉴定

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641688

Ronnie S. Concepcion, Jonnel D. Alejandrino, Maria Gemel B. Palconit, Ivan Lamboloto, E. Dadios, Bernardo Duarte, Sandy C. Lauguico

{"title":"Identification of Philippine Maize Variety Using Convolutional Neural Network with Kernel Morphological Phenes Characterization","authors":"Ronnie S. Concepcion, Jonnel D. Alejandrino, Maria Gemel B. Palconit, Ivan Lamboloto, E. Dadios, Bernardo Duarte, Sandy C. Lauguico","doi":"10.1109/R10-HTC53172.2021.9641688","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641688","url":null,"abstract":"Maize variety significantly increased due to hybridization and the characteristics of individual seed overlap causing the non-uniformity problem in agricultural production. Non-destructive optical techniques already exist but some have high operation requirements. This study developed a nondestructive RGB imaging model for classifying Philippine maize varieties, namely IPB VAR 6, NSIC CN 282, and PSB CN 97–92, using a 17-layer convolutional neural network (CNN) with 7.040858x106 extracted parameters. CIELab thresholding was performed to extract the morphological phenes (roundness, compactness, solidity, shape factors) that were also used as input predictors in feature-based predictive machine learning modeling. The developed CNN model outperformed the optimized decision tree, Naïve Bayes, linear discriminant analysis, k-nearest neighbors, and MobileNetV2 models based on the accuracy (96.667%), sensitivity (96.667%), and specificity (96.970%) in discriminating 300 kernels provided by the Philippine Bureau of Plant Industry. Based on the morphological phenotyping, the IPB VAR 6 has the most prominent shape factors 1 and 2 which are based on major and minor axis lengths of the kernel. NSIC CN 282 is the roundest, most compact, and has significant shape factors 3 and 4, while PSB CN 97–92 has the highest average solidity value. This developed approach has a great advantage for in situ classification and phenotyping without requiring performing laboratory procedures and shelling out huge expenses for the technology.","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":"129045754","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: 2

Image Analysis of Ventriculomegaly and White Matter Deterioration in Alzheimer's disease 阿尔茨海默病脑室肿大和白质恶化的影像学分析

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641701

Akhila Madhu, Jhinuk Chatterjee

引用次数: 0

Smart Water Distribution with Disaster Management 智能配水与灾害管理

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641519

Asif L. Jamadar, Shubham R. Bharamgonda, Vikas R. Kesarwani, Omkar S. Randive, Kishor D. Kadam, Rohan G. Kharbude

引用次数: 0

Low-Cost Portable Emergency Mechanical Ventilator Proposed for Covid-19 Patients 新型冠状病毒肺炎患者的低成本便携式紧急机械呼吸机

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641670

Vishal V Kurup, K. Rahul, Rahul G Kartha, Elna T Thampi, Gylson Thomas, P. J. Ajish

引用次数: 0

Landmine Detection Using A Mobile Robot 利用移动机器人探测地雷

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641540

V. Prakash, Pramod Sreedharan

{"title":"Landmine Detection Using A Mobile Robot","authors":"V. Prakash, Pramod Sreedharan","doi":"10.1109/R10-HTC53172.2021.9641540","DOIUrl":"https://doi.org/10.1109/R10-HTC53172.2021.9641540","url":null,"abstract":"Given the scale and damage to human lives both physical and economic, landmine detection and inspection have been an important domain for human aid response. This process has led to the invention and development of various safe and effective methods for landmine detection, marking, and cleanup. But most often the tools used are expensive, costly to operate, and require skilled technicians. For a very long time, a large part of this process was carried by human personnel. These methods and very conventional and place humans and human life at risk. Operating with such conventional methods requires extensive training and caution. To minimize human interaction modern methods use mobile robots to detects the buried landmines. The mobile robot is equipped with different types of sensors for landmine detection and autonomous navigation. The paper presents the design and implementation of a simulated mobile robot that detects the buried landmines on the battlefield to reduce human intervention. The mobile robot has various sensors for obstacle avoidance and mine detection. The simulation and visualization are carried out in ROS Gazebo and RViz.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"100 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":"127347207","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: 1

Tomato Plant Leaf Disease Detection using CNN 利用CNN进行番茄叶片病害检测

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2021-09-30 DOI: 10.1109/R10-HTC53172.2021.9641655

R. Kodali, Princy Gudala

引用次数: 4