2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)最新文献

Ref-CAMLA: A Reference Architecture for Context Aware Mobile Learning Applications Ref-CAMLA:上下文感知移动学习应用的参考架构

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411575

B. Kumar, B. Sharma, E. Nakagawa

引用次数: 0

Autism Spectrum Disorder Detection in Toddlers for Early Diagnosis Using Machine Learning 使用机器学习检测幼儿自闭症谱系障碍的早期诊断

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411531

S. Islam, Tahmina Akter, S. Zakir, Shareea Sabreen, Muhammad Iqbal Hossain

{"title":"Autism Spectrum Disorder Detection in Toddlers for Early Diagnosis Using Machine Learning","authors":"S. Islam, Tahmina Akter, S. Zakir, Shareea Sabreen, Muhammad Iqbal Hossain","doi":"10.1109/CSDE50874.2020.9411531","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411531","url":null,"abstract":"Autism spectrum disorder (ASD) is a disorder where patients are unable to express and interact. Recently it is an issue to be concerned that one in 59 children has identified as an autism spectrum disorder patient. ASDs start from childhood but symptoms can be detected in adulthood. That is why these children are not being able to have proper treatment at an early age and that causes more complexity in their health. Research shows that a diagnosis of autism at an earlier age can be more reliable and stable. Therefore, our study aims to estimate ASD (autism spectrum disorder) at a sooner possible time and increase more accuracy than the previous research and reduce medical costs. In our thesis paper, we want to predict and distinguish between autistic and non-autistic children by using a machine learning approach. Firstly, we have gathered data from the surveillance side as much as possible. We also set some particular questions and try to find maximum accurate answers to all questions. Furthermore, supervised learning algorithms are applied to diagnosis whether children meet the symptoms for ASD. Among all applied algorithms KNN and Random Forest shows maximum accuracy and speed to diagnosis. Above all, our final goal is to create an online tool that can provide machine learning-based analysis to a user to detect autism at an early age precisely.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127523789","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: 4

A Robust Airflow Envelope Tracking and Digitization Approach for Automatic Detection of Apnea and Hypopnea Events 用于呼吸暂停和低呼吸事件自动检测的鲁棒气流包络跟踪和数字化方法

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411558

M. B. Uddin, C. Chow, S. Ling, Steven W. Su

{"title":"A Robust Airflow Envelope Tracking and Digitization Approach for Automatic Detection of Apnea and Hypopnea Events","authors":"M. B. Uddin, C. Chow, S. Ling, Steven W. Su","doi":"10.1109/CSDE50874.2020.9411558","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411558","url":null,"abstract":"Sleep apnea hypopnea syndrome (SAHS) is a common sleep disorder that can significantly decrease the quality of life. Apnea hypopnea index, the number of apnea and hypopnea events per hour of sleep, is defined for the severity of SAHS. An automatic and accurate detection of apnea and hypopnea events can overcome the limitations of manual diagnosis of SAHS. This study explored the design of a novel automated algorithm to detect apnea and hypopnea events. From polysomnography records of the Sleep Heart Health Study, the airflow and pulse oximetry signals of 30 subjects were extracted. According to the updated American Academy of Sleep Medicine scoring manual, apnea and hypopnea events were scored by an experienced sleep physiologist. The peak signal excursion was precisely determined from the airflow envelope. An apnea event was detected by the precise determination of its pre-event baseline. A hypopnea event was detected when both the airflow reduction and oxygen desaturation were satisfied. Accordingly, the automated algorithm detected 5122 events (2215 apneas and 2907 hypopneas), against the manual scoring of 5021 events (2235 apneas and 2786 hypopneas). Strong correlations between scoring and detection of apnea, hypopnea, and combined events were achieved. The overall agreement between the scoring and detection of apnea, hypopnea, and combined events were respectively 99.1%, 95.7%, and 98.0%. This automatic algorithm is applicable to any portable sleep monitoring device for the accurate detection of apnea and hypopnea events.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125183509","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

A Novel Approach using Deep Neural Network Vessel Segmentation & Retinal Disease Detection 一种基于深度神经网络血管分割和视网膜疾病检测的新方法

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411629

N. Kaur, G. Chetty, Lavneet Singh

{"title":"A Novel Approach using Deep Neural Network Vessel Segmentation & Retinal Disease Detection","authors":"N. Kaur, G. Chetty, Lavneet Singh","doi":"10.1109/CSDE50874.2020.9411629","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411629","url":null,"abstract":"Machine Learning has sparked tremendous interest in medical healthcare over past 3 years at multiple level of abstraction to process large amount of structured data like 3dimensional medical scans and imaging and non-structured data like healthcare prescriptions and notes with less manual interventions. In ophthalmology, machine learning framework has the amazing potential to fasten screening programs with higher accuracies by providing instantaneous feedback and early diagnostics to increase patient compliance and improved health care.Machine Learning has similarly been applied to ocular imaging, using Optical Coherence Tomography (OCT) to detect retinal diseases like diabetic retinopathy, glaucoma, age-related macular degeneration, and retinopathy of prematurity. To reduce manual interventions and faster early diagnostics, machine learning coupled with deep learning will be a potential long-term solution to screen and monitor patients within primary eye care settings. In this study, we proposed a novel 2D Gabor Wavelets using Gradient Boosting trees approach for retinal vessel segmentation and detection of retinal diseases with higher accuracies in Optical Coherence Tomography (OCT) scans which can be extended further in real time environment at clinical settings at different pathologies.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116046704","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

Examination of the optimum regional point system by Gift & Circulation Model 用礼品流通模型检验最优区域积分系统

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411385

Shiozu Yurika, Tanaka Mizuki, Shioya Ryo, Shimohara Katsunorie

引用次数: 0

Quality for Sustainability: SPC Analysis of Photovoltaic Modules Flash Test 可持续性的质量:光伏组件闪蒸试验的SPC分析

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411574

R. Al-Aomar, Mohamed Al-Shehhi

{"title":"Quality for Sustainability: SPC Analysis of Photovoltaic Modules Flash Test","authors":"R. Al-Aomar, Mohamed Al-Shehhi","doi":"10.1109/CSDE50874.2020.9411574","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411574","url":null,"abstract":"This paper addresses the link between quality and sustainability in engineering systems and illustrates the role of quality tools in sustaining a high-level performance. It focuses on the application of Statistical Process Control (SPC) as a quality method at a PV (Photovoltaic) power plant that is set to generate the electricity from solar panels. In terms of performance, the PV plant has to meet certain contractual requirements including the level of delivered energy during the commissioning. Such level is highly impacted by the quality of the PV modules in terms of the solar energy generated from each module (based on the result of a flash test). The aim is to test the performance of two different PV technologies (i.e., thin film and crystalline silicon panels) that are supplied to the project from two different manufacturers during installation. To this end, SPC samples are drawn from the flash test results of the 39000 module supplied to the PV project. Results are analyzed and SPC control charts are developed to identify the special causes of process variability, explore variation patterns, and take remedial actions to ensure process stability. Results showed that even if the manufacturer supplied PV modules that are within the customer specification, it is not repress that the manufacturing process is statistically in control. SPC control charts have revealed multiple special causes in the process due to high variability in the power generated from the tested modules. These causes were carefully investigated and turned into opportunities for process improvement and stability. The study has highlighted the statistical challenges of the PV manufacturing process, as adopting SPC analyses will help manufacturer/suppliers to reduce the waste and improve the overall sustainability of the PV power plant.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114412767","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

Visualizing Relationality as Assets toward Communities Vitalization 视关系为社区活力的资产

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411641

Mizuki Tanaka, Ryo Shioya, Katsuhiko Yonezaki, Yurika Shiozu, I. Tanev, K. Shimohara

引用次数: 0

Transfer Learning from Pneumonia to COVID-19 将学习从肺炎转移到COVID-19

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411550

Hongen Lu, Sandini Anuradha Hewakankanamge, Yuan Miao

引用次数: 2

Strategic Creation and Placement of Landmarks for Robot Navigation in a Partially-known Environment 局部已知环境中机器人导航地标的策略创建与放置

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411583

Avinesh Prasad, B. Sharma, S. Kumar

{"title":"Strategic Creation and Placement of Landmarks for Robot Navigation in a Partially-known Environment","authors":"Avinesh Prasad, B. Sharma, S. Kumar","doi":"10.1109/CSDE50874.2020.9411583","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411583","url":null,"abstract":"Navigation of autonomous robots in uncharted or uncertain, and constrained or hazardous environment is a common problem but integrated with multiple challenges. This paper considers a subsection of such an environment and essays a feasible yet innovative solution for accurate parking and obstacle avoidance of a car-like mobile robot. The new method is based on strategic creation and positioning of landmarks in a bounded workspace that will aid or guide the robot to safely navigate the workspace and finally park correctly inside of the designated parking bay. By autonomously controlling its translational velocity and the steering angle, the car-like robot navigates from one (newly fixed) landmark to another (newly fixed) and finally converges to a target with a pre-defined posture. Attaining accurate posture is very important in real-life situations which involve tasks such as loading or off-loading and deliveries in constrained spaces. The paper establishes practical posture stability of the system. The computer simulations verify the effectiveness of the proposed method and the proposed control inputs.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125971714","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: 10

Barriers for an Integrated Lean and ISO 14001 Implementation for Sustaining Environmental Performance in the Manufacturing Industry 制造业持续环境绩效整合精益与ISO 14001实施的障碍

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411384

Aqeel Ahmed, Sanjay Mathrani, N. Jayamaha

{"title":"Barriers for an Integrated Lean and ISO 14001 Implementation for Sustaining Environmental Performance in the Manufacturing Industry","authors":"Aqeel Ahmed, Sanjay Mathrani, N. Jayamaha","doi":"10.1109/CSDE50874.2020.9411384","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411384","url":null,"abstract":"The manufacturing industry is facing ever increasing adverse challenges of operational waste generation, environmental issues and inefficient utilization of raw material in the last few decades. These environmental and operational challenges can be minimized by adopting new management strategies and streamlining processes in the manufacturing facilities. An integrated lean and ISO 14001 implementation as an innovative approach can be employed for achieving operational performance, a healthier environment and business profits in manufacturing firms. Literature on a combined lean and ISO 14001 implementation is limited, and no research has investigated the barriers which hinder the implementation of these strategies as a holistic approach. This paper explores the potential barriers for deploying an integrated lean and ISO 14001 approach for optimizing the manufacturing processes and improving environmental performance. Twenty barriers are identified in areas of management approach, cultural and external aspects, technical aspects and financial resources which if overcome, can lead to the successful implementation of a combined lean and ISO 14001 strategy in manufacturing firms.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121906446","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