2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)最新文献_第3页

Data analysis of the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) Open Data Japan with an adjustment of confounding factors 日本国家健康保险索赔和特定健康检查数据库(NDB)日本开放数据数据库的数据分析，并对混杂因素进行调整

2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2021-12-08 DOI: 10.1109/CSDE53843.2021.9718381

K. Ishii, Takuya Nishio, Yuta Itoigawa, Seigo Sakaki, R. Sakagami, Y. Shoji, Y. Fukumoto

引用次数: 0

Real world objects augmentation in virtual 3D environment RealSense SDK, Deep Learning and Game Engine 真实世界的物体增强在虚拟3D环境RealSense SDK，深度学习和游戏引擎

2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2021-12-08 DOI: 10.1109/CSDE53843.2021.9718388

Shadman Shahriar Hasan Arko, Md Tamjid Hossain, Shakib Mahmud Dipto, Samiul Islam Shad, Md. Ashraful Alam

引用次数: 0

Enhancing Performance of IR Ship Detection with Baseline AI Models over a new Benchmark 基于基线AI模型在新基准上增强红外舰船检测性能

2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2021-12-08 DOI: 10.1109/CSDE53843.2021.9718483

Abraar Raza Samar, Adeel Mumtaz

{"title":"Enhancing Performance of IR Ship Detection with Baseline AI Models over a new Benchmark","authors":"Abraar Raza Samar, Adeel Mumtaz","doi":"10.1109/CSDE53843.2021.9718483","DOIUrl":"https://doi.org/10.1109/CSDE53843.2021.9718483","url":null,"abstract":"Classical vision applications mainly extract features from IR ship images using saliency or region based segmentation algorithms. However due to the complex scenes having intensity in-homogeneity, sea clutter and noise, success of these algorithms is limited. In order to bridge this gap, in this paper we focused on automatic IR ship detection and semantic segmentation problem with the perspective of deep learning based algorithms. At first we have enhanced the previously published IRShips1 dataset to IRShips2 by increasing 18 scenes to newly labeled 178 diverse set of scenes. Then for the ship semantic segmentation task we have trained a UNet architecture with a ResNet based backbone. We have used transfer learning and data augmentation to overcome the limitations of small size of dataset. Experimental results show significant improvement in both efficiency (FPS) and accuracy (IoU and F-Score) as compared to the existing GBVS based algorithm on both IRShips1 and IRShips2 datasets. Finally we have also labeled our dataset for bounding box based detection and showed benchmark results (mAP) of two state of the art object detectors i.e.yoloV4 and yoloV5. We hope that our new IRShips2 dataset along with results of proposed baseline AI models will serve a useful benchmark for the research community.","PeriodicalId":166950,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114315349","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

Covid-19 Unified Information System for Fiji 斐济Covid-19统一信息系统

2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2021-12-08 DOI: 10.1109/CSDE53843.2021.9718488

Jashnil Kumar, Neeraj Anand Sharma

引用次数: 0

A DMAIC approach to investigate the green lean six sigma tools for improving environmental performance DMAIC方法研究绿色精益六西格玛工具改善环境绩效

2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2021-12-08 DOI: 10.1109/CSDE53843.2021.9718462

Amna Farrukh, Sanjay Mathrani, Aymen Sajjad

引用次数: 5

A Design of Self-Assisted Patient Control Technique for Early Rehabilitation Interventions to Prevent the Reduced elbow Joint ROM of COVID-19 Patients 预防COVID-19患者肘关节屈伸症早期康复干预的患者自控技术设计

2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2021-12-08 DOI: 10.1109/CSDE53843.2021.9718473

Syed Mehmood Ali

{"title":"A Design of Self-Assisted Patient Control Technique for Early Rehabilitation Interventions to Prevent the Reduced elbow Joint ROM of COVID-19 Patients","authors":"Syed Mehmood Ali","doi":"10.1109/CSDE53843.2021.9718473","DOIUrl":"https://doi.org/10.1109/CSDE53843.2021.9718473","url":null,"abstract":"The novel coronavirus, SARS-CoV-2 pandemic has posed new challenges for physiotherapist due to unprecedented acute care patients’ surge. It contributed to minimize physical activity, especially reducing the elbow range of motion (ROM). Early rehabilitation and physiotherapy are recommended to combat the adverse effects of extended immobility. However, the increased patient-physiotherapist interaction increased risks of disease transmission. There emerges a need to minimize this interaction and disease transmission probability. This study aims to speed-up the return to regular ROM of COVID-19 patients by developing a self-assisted device for successful elbow therapy. The proposed device referred as ‘self-assisted’, reflects the idea of active and passive patient intervention and early rehabilitation. The device is designed and programmed to characterize the patients into three levels, depending on their ROM vulnerability: level 1 below 50°, level 2 50°-100° and level 3 above 100°. To examine the efficacy and accuracy of SAPT-COVID-19, eight volunteers with varying ages were selected, who were home-bound due to prolong COVID-19 pandemic and compromised their functional ROM. SAPT-COVID-19 substantially strengthened the elbow ROM for the volunteers and hit the maximum functional ROM over 14-days exercise session, resulting in approximately 10° improvement in elbow ROM. The degree of efficiency of active and passive exercise has also been widely examined. SAPT-COVID-19 is supposed to prevent elbow ROM deterioration and reduce hospitalization, with therapeutic and economic gain and minimized the physiotherapist-patient interactions.","PeriodicalId":166950,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125582250","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

Suitable Crop Suggesting System Based on N.P.K. Values Using Machine Learning Models 使用机器学习模型的基于N.P.K.值的合适作物建议系统

2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2021-12-08 DOI: 10.1109/CSDE53843.2021.9718374

Shakib Mahmud Dipto, Asif Iftekher, Tomal Ghosh, Md. Tanzim Reza, Md. Ashraful Alam

{"title":"Suitable Crop Suggesting System Based on N.P.K. Values Using Machine Learning Models","authors":"Shakib Mahmud Dipto, Asif Iftekher, Tomal Ghosh, Md. Tanzim Reza, Md. Ashraful Alam","doi":"10.1109/CSDE53843.2021.9718374","DOIUrl":"https://doi.org/10.1109/CSDE53843.2021.9718374","url":null,"abstract":"Bangladesh is a country having an area of 1, 47,570 square kilometers in which a significant part is agricultural lands. As an agricultural country, we are mostly dependent on a cultivation which is dependent on the soil type. There are 3 most important nutrients in any soil, it’s known as the primary macronutrients: Nitrogen (N), Phosphorus (P), and Potassium (K). Each of the primary nutrients is very essential in plant nutrition, serving a critical role in the growth and reproduction of the plant. We propose and demonstrate Crop Suggesting System based on N.P.K. values by using machine learning which will determine the best crop to grow in a particular soil based on some major criteria. This model will play a vital role in our agricultural sectors to fulfill the needs of our country by reaching the highest level of efficiency and ensure the best use of our arable lands. We have used four different machine learning algorithms named SVM, Adaboost, Random Forest and Logistic Regression and achieved a maximum of 98% accuracy using SVM.","PeriodicalId":166950,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126281418","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

[Copyright notice] (版权)

2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2021-12-08 DOI: 10.1109/csde53843.2021.9718395

引用次数: 0

Decentralized elastic electricity demand scheduling 分散弹性电力需求调度

2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2021-12-08 DOI: 10.1109/CSDE53843.2021.9718482

B. M. Vasquez, L. Andrew, Julián García

引用次数: 0

Learning Computer Modules Using Multimedia and Social Media Platform in a Developing Country 在一个发展中国家使用多媒体和社会媒体平台学习计算机模块

2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2021-12-08 DOI: 10.1109/CSDE53843.2021.9718434

Monesh Sami, Neeraj Anand Sharma

{"title":"Learning Computer Modules Using Multimedia and Social Media Platform in a Developing Country","authors":"Monesh Sami, Neeraj Anand Sharma","doi":"10.1109/CSDE53843.2021.9718434","DOIUrl":"https://doi.org/10.1109/CSDE53843.2021.9718434","url":null,"abstract":"Learning in today’s era is not the same as 20 years ago. The 21st century has been exposed with various innovative gadgets for years which interest people, especially teenagers. Educators constantly introduce newer learning methods among students to enhance learning and teaching in this modern age of digital learning. In recent years, numerous innovative teaching methods has been introduced in schools to improve the quality of education. Multimedia culture has an everlasting impact on human emotions and behavior, which is part of their daily lives in communication, business, education or entertainment. This research paper will investigate the different forms of innovative learning and teaching used in education sectors and will propose a system solution based on the literature review study, survey and focus group findings and experiment results conducted at Fiji National University. The proposed system will be developed using Asp.net and SQL server as the database. This paper will also guide the development of the proposed solution from scratch, where the function, non-functional, application architecture and use case are presented. Furthermore, the findings indicated that the proposed system was able to improve students learning compared to the current method of learning. At the same time, it increased student’s motivation to learn and enjoy using various multimedia components of podcasts, videos, and games, which was embedded into a social media-like platform.","PeriodicalId":166950,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121356513","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