Proceedings of the 2021 3rd Asia Pacific Information Technology Conference最新文献

Automatic Data-Driven Agriculture System for Hydroponic Farming 水培农业自动数据驱动农业系统

Proceedings of the 2021 3rd Asia Pacific Information Technology Conference Pub Date : 2021-01-15 DOI: 10.1145/3449365.3449367

K. Mya, M. Sein, T. Nyunt, Yung-Wey Chong, Rer. Nat. Zainal

引用次数: 3

Video Surveillance System for Helmet Recognition Based on SSD Target Detection Algorithm 基于SSD目标检测算法的视频监控头盔识别系统

Proceedings of the 2021 3rd Asia Pacific Information Technology Conference Pub Date : 2021-01-15 DOI: 10.1145/3449365.3449376

Shilong Ma, Huan Zhao, Jian Wang, Chao Yang

引用次数: 0

Research on Key Technologies of Software Configuration Management in Development of Large-scale Software System 大型软件系统开发中软件组态管理关键技术研究

Proceedings of the 2021 3rd Asia Pacific Information Technology Conference Pub Date : 2021-01-15 DOI: 10.1145/3449365.3449374

Wenjun Ji

引用次数: 0

A Novel Feature Selection Approach based on Binary Particle Swarm Optimization and Ensemble Learning for Heterogeneous Defect Prediction 基于二元粒子群优化和集成学习的异质缺陷预测特征选择方法

Proceedings of the 2021 3rd Asia Pacific Information Technology Conference Pub Date : 2021-01-15 DOI: 10.1145/3449365.3449384

R. Malhotra, Anmol Budhiraja, Abhinav Singh, Ishani Ghoshal

{"title":"A Novel Feature Selection Approach based on Binary Particle Swarm Optimization and Ensemble Learning for Heterogeneous Defect Prediction","authors":"R. Malhotra, Anmol Budhiraja, Abhinav Singh, Ishani Ghoshal","doi":"10.1145/3449365.3449384","DOIUrl":"https://doi.org/10.1145/3449365.3449384","url":null,"abstract":"Software defect prediction is an integral part of the software development process. Defect prediction helps focus on the grey areas beforehand, thus saving the considerable amount of money that is otherwise wasted in finding and fixing the faults once the software is already in production. One of the popular areas of defect prediction in recent years is Heterogeneous Defect Prediction, which predicts defects in a target project using a source project with different metrics. Through our paper, we provide a novel feature selection based approach, En-BPSO, based on binary particle swarm optimization, coupled with majority voting ensemble classifier based fitness function for heterogeneous defect prediction. The datasets we are using are MORPH and SOFTLAB. The results show that the En-BPSO method provides the highest Friedman mean rank amongst all the feature selection methods used for comparison. En-BPSO technique also helps us dynamically determine the optimal number of features to build an accurate heterogeneous defect prediction model.","PeriodicalId":188200,"journal":{"name":"Proceedings of the 2021 3rd Asia Pacific Information Technology Conference","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128444389","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

Application and Research Of Mapping Function Method In Radar Target Positioning System 映射函数法在雷达目标定位系统中的应用与研究

Proceedings of the 2021 3rd Asia Pacific Information Technology Conference Pub Date : 2021-01-15 DOI: 10.1145/3449365.3449385

Shiwei Guo, Mingshan Yang, Huiyan Zhou, Xiaoyan Du

{"title":"Application and Research Of Mapping Function Method In Radar Target Positioning System","authors":"Shiwei Guo, Mingshan Yang, Huiyan Zhou, Xiaoyan Du","doi":"10.1145/3449365.3449385","DOIUrl":"https://doi.org/10.1145/3449365.3449385","url":null,"abstract":"In the radar positioning system, the unevenness of the atmospheric medium causes the deflection of the electromagnetic wave in the propagation process, which reduces the positioning accuracy of the radar, so it is necessary to correct the atmospheric refraction error for the radar's positioning requirement of fast positioning and high precision. Based on the method of correcting atmospheric refraction error by mapping function, the target's distance is regarded as the product of mapping function and altitude, and the application of mapping function in radar target positioning system is studied in order to reduce the complexity of positioning method and the dependence on atmospheric parameters, and an inversion method is used to study the change trends of mapping function's coefficients with altitude. Using the radar positioning environment established by Hopfield model, and taking the calculation result of raying tracing method as the radar observation data, the method's accuracy is studied. The results show that the mapping function method has research and application value in locating high elevation targets, and the accuracy of the positioning method is determined by the altitude and elevation angle of target. At a certain altitude, the closer the target is, the larger the elevation angle is, the smaller the positioning error is and the better the positioning effect is.","PeriodicalId":188200,"journal":{"name":"Proceedings of the 2021 3rd Asia Pacific Information Technology Conference","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131753715","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

Detection of humans in drone images for search and rescue operations 在无人机图像中检测人类，用于搜救行动

Proceedings of the 2021 3rd Asia Pacific Information Technology Conference Pub Date : 2021-01-15 DOI: 10.1145/3449365.3449377

Nayee Muddin Khan Dousai, S. Lončarić

{"title":"Detection of humans in drone images for search and rescue operations","authors":"Nayee Muddin Khan Dousai, S. Lončarić","doi":"10.1145/3449365.3449377","DOIUrl":"https://doi.org/10.1145/3449365.3449377","url":null,"abstract":"Object detection has solved many problems in different applications like monitoring security, search and rescue operations, semantic segmentation, autonomous driving and so on. Despite this huge success rate in normal ground captured images, it is still a challenging task to detect humans or any other objects from the UAV(Unmanned Aerial Vehicle) captured images due to a few challenges like pose and scale variations, weather conditions, artefacts like people wearing hats, varying attitude and camouflaged environment. In this paper, we propose a novel approach for the detection of humans in aerial images, for search and rescue operations. This method explains how to train the existing high-resolution aerial database of HERIDAL. The EfficientDET deep neural network is trained using a newly generated database to solve the human detection problem. To the best of our knowledge, the proposed method has achieved the best accuracy of 93.29% mAP compared to all existing methods. The proposed method has been compared to the system used by Croatian Mountain search and rescue (SAR) teams (IPSAR) and also with the state-of-art proposed HERIDAL database paper which is based on extracting the salient features, which has slightly worse result compared to the results of this paper.","PeriodicalId":188200,"journal":{"name":"Proceedings of the 2021 3rd Asia Pacific Information Technology Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133623873","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

Hospital Volunteer Management Process Digitalization Through Service Design: Design Decision and Implementation 通过服务设计实现医院志愿者管理流程数字化:设计决策与实施

Proceedings of the 2021 3rd Asia Pacific Information Technology Conference Pub Date : 2021-01-15 DOI: 10.1145/3449365.3449373

Taweesin Wongpinkaew, Sipat Triukose, Sirin Nitinawarat, K. Piromsopa

引用次数: 0

A Simulation for Forecasting Compute Resource Usage 一种预测计算资源使用的仿真方法

Proceedings of the 2021 3rd Asia Pacific Information Technology Conference Pub Date : 2021-01-15 DOI: 10.1145/3449365.3449370

Saurabh Adhikari, C. Plewnia, C. Netramai, H. Lichter

{"title":"A Simulation for Forecasting Compute Resource Usage","authors":"Saurabh Adhikari, C. Plewnia, C. Netramai, H. Lichter","doi":"10.1145/3449365.3449370","DOIUrl":"https://doi.org/10.1145/3449365.3449370","url":null,"abstract":"The usage of compute resources by data processing jobs may change over time, requiring careful resource planning when an organization operates these resources itself in an on-premise private cloud. Ideally, the currently available resources always match the need of jobs executed on them. This way the resources would neither be overutilized, which is usually undesirable as the jobs might take longer, nor underutilized, which causes unnecessary costs for unused resources. When an organization decides to extend its private cloud resources, it can still take months until the servers are bought, delivered, and installed. Thus, the resources have to be planned carefully in advance. Estimating the future resource needs is difficult and influenced by many factors. In our experience, creating the estimate is often a manual process supported by self-designed spreadsheets; these spreadsheets are maintained by a single person from time to time and might even be replaced completely if someone else assumes that person's responsibility. However, this approach does not lead to transparent and verifiable forecasts that enable collaboration and learning from past decisions. This paper addresses the problem of generating a transparent and verifiable compute resource usage forecast by proposing a simulation approach. It requires a user to model an estimate of the future workload development of the data processing jobs as well as the current compute resource setup. The simulation can then be run to identify possible future resource bottlenecks. This can be repeated for different scenarios, including situations of failing resources as well as the addition of resources to compensate for bottlenecks and failures. We further provide a first qualitative case study of this approach that demonstrates its potential.","PeriodicalId":188200,"journal":{"name":"Proceedings of the 2021 3rd Asia Pacific Information Technology Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121624103","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

Web Mining in e-Procurement: A Case Study in Indonesia 电子采购中的网络挖掘:以印尼为例

Proceedings of the 2021 3rd Asia Pacific Information Technology Conference Pub Date : 2021-01-15 DOI: 10.1145/3449365.3449382

Julius Dimas Trisaktyo Nugroho, Rahmad Mahendra, I. Budi

引用次数: 0

Sequence Analysis and Generation of Filipino Ethnic Textile Patterns using Finite Automata 菲律宾民族纺织品图案序列分析及有限自动机生成

Proceedings of the 2021 3rd Asia Pacific Information Technology Conference Pub Date : 2021-01-15 DOI: 10.1145/3449365.3449386

M. Devaraj, I. Recto, Ryan Clarian

引用次数: 0