2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)最新文献_第4页

Deep Neural Network-Based Gender Identification for Surveillance Restroom Restriction System 基于深度神经网络的监控厕所限制系统性别识别

2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC) Pub Date : 2022-12-07 DOI: 10.1109/ICETECC56662.2022.10068932

Julie Ann B. Susa, Jo Ann D. Doculan, Jovencio V. Merin, Jeddie M. Zarate, Meriam L. Tria, R. S. Evangelista, Michelle C. Reyes

引用次数: 0

Impact of Adopting Robots as Teachers: A Review Study 采用机器人教师的影响:一项回顾研究

2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC) Pub Date : 2022-12-07 DOI: 10.1109/ICETECC56662.2022.10069714

Muhammad Ali, Sehrish Munawar Cheema, Nasir Ayub, Ammerha Naz, Zaheer Aslam

{"title":"Impact of Adopting Robots as Teachers: A Review Study","authors":"Muhammad Ali, Sehrish Munawar Cheema, Nasir Ayub, Ammerha Naz, Zaheer Aslam","doi":"10.1109/ICETECC56662.2022.10069714","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069714","url":null,"abstract":"Robotic technologies have opened up hundreds of new limitless perspectives for educational reform. We have conducted research to study the impact and outcomes of Robotic teaching in systematic studies, experimental studies, and surveys. The conclusions of this study reveal that educational robots have an impact on children, teachers, and students. We looked into how robots affect children’s behavior, learning outcomes, perceptions, and human interactions. The learning efficacy of educational Robot teachers is determined by a variety of factors, including learning outcome, student behavior and mood during class sessions, student reaction, and student involvement during workshops/class participation/quizzes/Q&A sessions. The majority of the research articles we chose were experimental studies, and they all met their objectives, which included teaching mathematical problems, unit conversion problems, teaching English/secondary language, developing analytical, and computational skills, behavior, and attitude development, critical thinking, and improving communication skills.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116968446","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

Technological, Financial and Ecological Analysis of Photovoltaic Power System using RETScreen® : A Case in Khuzdar, Pakistan RETScreen®光伏发电系统的技术、财务和生态分析:以巴基斯坦库兹达尔为例

2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC) Pub Date : 2022-12-07 DOI: 10.1109/ICETECC56662.2022.10069314

Umar Alvi, Ijaz Ahmed, Alveena Alvi, Babar Ashfaq, S. Mukhtar, Paghunda Roheela Ali

{"title":"Technological, Financial and Ecological Analysis of Photovoltaic Power System using RETScreen® : A Case in Khuzdar, Pakistan","authors":"Umar Alvi, Ijaz Ahmed, Alveena Alvi, Babar Ashfaq, S. Mukhtar, Paghunda Roheela Ali","doi":"10.1109/ICETECC56662.2022.10069314","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069314","url":null,"abstract":"Green energy projects can benefit greatly from using RETScreen as a preliminary estimate for financial analysis and technology assessment. Energy shortages and climate change are wreaking havoc in Pakistan at the present time. In this study, we examine green energy sources to meet the country’s energy needs while keeping environmental concerns in mind. The NASA climate information is used to conduct a comprehensive technical, economical, and environmental analysis of the intended green plant. In addition, the statistical indications demonstrate that the project is feasible in terms of cost-emission-savings. It is anticipated that this strategy will make it easier to start new renewable energy projects in developing countries that are having difficulty developing renewable energy projects. The study will also encourage the investor and corporate sector to join national grid from a business perspective. Furthermore, the scheme will also assist government institutions in reducing their reliance on fuel based plants, so bolstering the state economy and provide clean and cost effective energy.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116277011","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

Detecting Appropriate and Inappropriate COVID-19 Face Mask Wear in Controlled Environments Using Transfer Learning-Based Convolutional Neural Network 基于迁移学习的卷积神经网络在受控环境中检测合适和不合适的COVID-19口罩佩戴

2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC) Pub Date : 2022-12-07 DOI: 10.1109/ICETECC56662.2022.10069777

Rhowel M. Dellosa, Dennis C. Malunao, Jo Ann D. Doculan, R. R. Maaliw, Jeddie M. Zarate, R. S. Evangelista, Ma. Cecilia G. Adefuin

{"title":"Detecting Appropriate and Inappropriate COVID-19 Face Mask Wear in Controlled Environments Using Transfer Learning-Based Convolutional Neural Network","authors":"Rhowel M. Dellosa, Dennis C. Malunao, Jo Ann D. Doculan, R. R. Maaliw, Jeddie M. Zarate, R. S. Evangelista, Ma. Cecilia G. Adefuin","doi":"10.1109/ICETECC56662.2022.10069777","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069777","url":null,"abstract":"The most recent epidemic of coronavirus disease (COVID-19) was brought on by a coronavirus subsequently found. The general population was still required to wear surgical face masks, sometimes known as medical masks, to safeguard against the coronavirus disease and monkeypox disease as well brought on by COVID-19 and monkeypox virus. In the majority of regulated conditions, it might be challenging to see if someone is wearing their mask properly. The researchers imply a COVID-19 detection of correct and improper wearing of surgical face masks in regulated areas as a way to help with the ongoing development of identification of facemask wearing to limit the spread of the virus. Models generated using deep learning to identify persons’ proper wearing of masks were used. The model with the lowest performance in this study’s model evaluation, Model 3, has an mAP of 0.0777. With an mAP of 0.9668 (96.68%) and 3.31 training loss, the model produced the best results in model 42. The said model obtained the highest mAP, which was used for testing and inferencing as a result. This study showed promising results and might be used to reliably identify appropriate mask wear in public by using proper detection of facemask technology.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120823453","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

Identification of Philippine Therapeutic Leave using Deep Learning 使用深度学习识别菲律宾治疗假

2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC) Pub Date : 2022-12-07 DOI: 10.1109/ICETECC56662.2022.10068880

Julie Ann B. Susa, Rhowel M. Dellosa, Jo Ann D. Doculan, Roldan D. Jallorina, R. S. Evangelista, Godofredo S. Zapanta, Jennalyn N. Mindoro

{"title":"Identification of Philippine Therapeutic Leave using Deep Learning","authors":"Julie Ann B. Susa, Rhowel M. Dellosa, Jo Ann D. Doculan, Roldan D. Jallorina, R. S. Evangelista, Godofredo S. Zapanta, Jennalyn N. Mindoro","doi":"10.1109/ICETECC56662.2022.10068880","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10068880","url":null,"abstract":"Despite the advancements in many chemical medications used to treat diseases, medicinal plants have also been very effective in doing so. The global use of herbal products is increasing due to the growing contribution of science and technology to its ethical and scientific growth. In the Philippines, medicinal plants or herbs are popular in treating illness. Although the traditional identification method is effective and requires the expertise of skilled practitioners, it is time-consuming and prone to mistakes. Studies identifying the therapeutic use of naturally occurring plant chemicals have now been publicly disclosed that automatically detect the species of medicinal plants and leaves using machine vision and deep learning. This led to the first phase of this work, which used the readily available Philippine medicinal plants to identify the leaves automatically. With transfer learning using YOLOv3, this study seeks to identify Philippine medicinal plants in real-time. Only segmented leaves of Basella alba (alugbati), Mentha (mint), Moringa oleifera (malungay), Nerium oleander (adelfa), and Psidium guajava (bayabas) are used in the identification of medicinal leaves. The identification of the images utilized an inference approach in the real-time application based on the extracted features using YOLOv3. The result of the test performed illustrates an optimal outcome in the detection of different medicinal leaves. The optimal model performance results to mAP 98.63%. The test summary demonstrates a high detection accuracy and produces results at a fast speed. Thus, various model inferences using input images, live feed, and video inputs exemplify the model’s effectiveness in detecting the inputs medical leaves classes.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122741759","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

Adaptive Swarm Intelligence-Based Optimization Approach for Smart Grids Power Dispatch 基于自适应群智能的智能电网电力调度优化方法

2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC) Pub Date : 2022-12-07 DOI: 10.1109/ICETECC56662.2022.10069682

Umar Alvi, Ijaz Ahmed, Syed Rizwan Hasan, Babar Ashfaq, Muhammad Raza, Sana Mukhtar

{"title":"Adaptive Swarm Intelligence-Based Optimization Approach for Smart Grids Power Dispatch","authors":"Umar Alvi, Ijaz Ahmed, Syed Rizwan Hasan, Babar Ashfaq, Muhammad Raza, Sana Mukhtar","doi":"10.1109/ICETECC56662.2022.10069682","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069682","url":null,"abstract":"Approximately 70–90 percent of today’s energy usage is derived from fossil fuels. Due to global warming and countless air pollutants, the atmosphere is polluted, compelling us to use new computer paradigms for efficient dispatching of smart energy grids. In order to solve the difficult nonlinear, non-convex, and constrained confined EEDs, a new whale optimization algorithm (WOA) is devised for the minimization of total cost and emission. The proposed method takes into account the social behaviour of humpback whales, with an emphasis on the nature of suggested meta-heuristic optimization algorithms. The proposed optimization paradigm generated data demonstrating AWSOA superiority to other advanced approaches. To ensure the efficacy of the proposed method, we compare it to other approaches and consider a number of technological constraints; the findings demonstrate that our approach is both cost-effective and accurate. In addition, the research assists electric energy firms in controlling emissions as required by emission regulatory agencies and saving the annual operational cost of thermal plants.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130211010","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

Lungs Fluid Accumulation Detection Using Microwave Imaging Technique 利用微波成像技术检测肺部积液

2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC) Pub Date : 2022-12-07 DOI: 10.1109/ICETECC56662.2022.10068922

M. Azlan, B. Muneer, B. S. Chowdhry

引用次数: 0

CROPBot: Customized Rigid Organic Plantation Robot CROPBot:定制的刚性有机种植机器人

2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC) Pub Date : 2022-12-07 DOI: 10.1109/ICETECC56662.2022.10069200

Aaron Alcantara, G. Magwili

{"title":"CROPBot: Customized Rigid Organic Plantation Robot","authors":"Aaron Alcantara, G. Magwili","doi":"10.1109/ICETECC56662.2022.10069200","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069200","url":null,"abstract":"Philippines continues its plan for becoming industrialized country, despite that fact, it is still an agricultural country for most of its population lives in rural areas and rely on farming to support their needs and it still contributes to the gross domestic product of the country. Agricultural sector contributes 9.28% of the total GDP as of 2018. Though that sector contributes only close to 10%, its employment comprises to 24.3% of the total labor work force in the country. There are some pressing concerns in agricultural sector, obvious reduction of its essential elements -farmers and resources. There is a reduction of employment rate of farmers for the past years from 12, 030 in 2008 and dropped to 10,001 during 2018. Other concern are problems on resources-land, capital, machinery, seedlings, and the method used in farming. Farmlands degraded due to excessive use of inorganic compound for weeding and as fertilizer and other thing is the soil compaction due to use of heavy farm equipment. Significance of this study is it will offer land farming method more effective and provide a conservative approach to environment. The prototype will serve as an aid to farmers not to reduce them, in fact, with machine, some uncultivated land can be converted to plantation easier thus will result in an increase of farm land area. The prototype was fully custom built having its mechanical parts ease of replacements. Based on the results, the prototype can do the farming tasks even on the compacted soil that has not been used for years for planting though the researcher recommends some design enhancement and modification to attain more precision in farming.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114014515","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

Multi-Active Multi-Datacenter Distributed Database Architecture Design based-on Secondary Development Zookeeper 基于二次开发Zookeeper的多活动多数据中心分布式数据库架构设计

2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC) Pub Date : 2022-12-07 DOI: 10.1109/ICETECC56662.2022.10069506

Zhengyi Yang, Leonard L. Alejandro, Charlene I. Vergara, R. R. Maaliw, A. Alon, R. S. Evangelista, Reden Paul Layug Rivera, Ronnel Cabral Delos Santos

引用次数: 0

Age-Based Ranking of YouTube Videos for Improved Parental Controls in Smart TV Environment 基于年龄的YouTube视频排名，以改善智能电视环境下的家长控制

2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC) Pub Date : 2022-12-07 DOI: 10.1109/ICETECC56662.2022.10069109

I. Alam, Azhar R Uddin, Shah Khusro

{"title":"Age-Based Ranking of YouTube Videos for Improved Parental Controls in Smart TV Environment","authors":"I. Alam, Azhar R Uddin, Shah Khusro","doi":"10.1109/ICETECC56662.2022.10069109","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069109","url":null,"abstract":"YouTube is a popular social media networking site that contains billions of videos. Many YouTube videos target children of different ages with offensive, inappropriate, violent, etc. Numerous one-size-fits-all countermeasures and research work have been deployed and suggested. However, these solutions are ineffective in accurately detecting inappropriate content for a diverse audience of different needs and requirements. In this research work, instead of one-size-fits-all, we consider a mutable age-based context, where different Age-Groups (AG) have different choices and needs. A novel and real-time approach have been proposed to prevent and allow the audience of varying AG towards the diverse content of YouTube, specifically in a smart TV-watching scenario. The proposed system analyses the running video through its metadata for teenagers, children, and adults. In parallel with data, the proposed model captures the viewers in real-time, detects their age, and checks the displayed video against the detected AG for appropriateness. The same system responds to parental consent and overrides its stop/play policies according to the direct input provided by parents/guardians with a diverse psychological setup, developed by their beliefs, religion, and cultural sensitivities. The proposed solution leverages Random Forest Classifier–a supervised text classification approach with 80% accuracy and Convolutional Neural Network for age determination using the Caffe model.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120964621","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