2018 International Conference on Orange Technologies (ICOT)最新文献

Gamified SCRUM Design in Software Development Projects 软件开发项目中的游戏化SCRUM设计

2018 International Conference on Orange Technologies (ICOT) Pub Date : 2018-10-01 DOI: 10.1109/ICOT.2018.8705897

Sherly Hermanto, E. Kaburuan, Nilo Legowo

引用次数: 4

Evaluation of Consumer-Grade SSD as a Primary Storage for Small-Scale Desktop Virtualization on VMware Environment 消费级SSD作为VMware环境下小规模桌面虚拟化主存的评估

2018 International Conference on Orange Technologies (ICOT) Pub Date : 2018-10-01 DOI: 10.1109/ICOT.2018.8705816

Marcel

{"title":"Evaluation of Consumer-Grade SSD as a Primary Storage for Small-Scale Desktop Virtualization on VMware Environment","authors":"Marcel","doi":"10.1109/ICOT.2018.8705816","DOIUrl":"https://doi.org/10.1109/ICOT.2018.8705816","url":null,"abstract":"Storage performance was main challenging factor of user experience that define the success factor of desktop virtualization initiative. Some solution was introduced to cope with primary storage requirement for performance, but most of it were require significant investment and introduce some complexity. Consumer-grade SATA SSD on the other hand were getting lower in price and more reliable, this paper intended to analyze how consumer-grade SATA SSD can be used as a primary storage solution for desktop virtualization in small-scale environment, with computer laboratory in University ABC as initial case study to deploy the scenario in production environment. To observe how the consumer-grade SATA SSD can perform, this paper conducted 3 categories of scenario: HDD-SAS 7.2k, SSD-SAS and SATA-SSD, using RAID10 and HBA (JBOD) mode configuration. Experimental test conducted within the scope of this paper showed that consumer-grade SSD-SATA can be used as a primary storage for small-scale desktop virtualization solution. While the price of SSD-SATA within the case of this paper was only about 10,4% higher when compared with HDD-SAS 7.2k solution, SSD-SATA (RAID10) also had significant performance improvement when compared with HDD-SAS 7.2k (RAID10), about 19,67 times higher in bandwidth and IO; and only 0,049 times in latency (95,07% lower latency time). While in HBA-mode, SSD-SATA also gave significant improvement compared with HDD-SAS 7.2k (RAID10), about 18,03 times bigger for bandwidth; and about 0,055 times for latency time (94,45% lower latency time).","PeriodicalId":402234,"journal":{"name":"2018 International Conference on Orange Technologies (ICOT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123773729","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

Design and Implementation of Sentence Similarity Matching and Multimedia Feedback for Intelligent Pharmacy on Zenbo Robot Zenbo机器人智能药房句子相似度匹配与多媒体反馈的设计与实现

2018 International Conference on Orange Technologies (ICOT) Pub Date : 2018-10-01 DOI: 10.1109/ICOT.2018.8705793

Che-Wen Chen, Bo-Rui Chen, Shih-Pang Tseng, Jhing-Fa Wang

引用次数: 1

Run for Fun: Shape Body and Knowledge through Playing 为乐趣而跑:通过玩耍塑造身体和知识

2018 International Conference on Orange Technologies (ICOT) Pub Date : 2018-10-01 DOI: 10.1109/ICOT.2018.8705836

Tsai-Yun Mou, Zong-Xian Yin, Chia-Pin Kao, Horng-Horng Lin

引用次数: 0

Implementation SCRUM Method in Warehouse Receipt System Development 在仓单系统开发中实施SCRUM方法

2018 International Conference on Orange Technologies (ICOT) Pub Date : 2018-10-01 DOI: 10.1109/ICOT.2018.8705877

Suwarni, Bayu Nugroho Indriyanto, E. Kaburuan, Parwito, Eko Darwiyanto, J. W. Simatupang

{"title":"Implementation SCRUM Method in Warehouse Receipt System Development","authors":"Suwarni, Bayu Nugroho Indriyanto, E. Kaburuan, Parwito, Eko Darwiyanto, J. W. Simatupang","doi":"10.1109/ICOT.2018.8705877","DOIUrl":"https://doi.org/10.1109/ICOT.2018.8705877","url":null,"abstract":"The Warehouse Receipt System (WRS) is an innovation from the Ministry of Trade, WRS aims to overcome problems during the main harvest season. The main problem when the harvest season arrives is the decline in commodity prices due to a large number of goods available. This problem is undoubtedly detrimental to farmers and traders. Therefore the Ministry of Trade introduced this Warehouse Receipt System. One of the Warehouse Receipt Systems is located in Grobogan District having its address at Wirosari District, Grobogan Regency. WRS Grobogan Regency was inaugurated at the end of 2015. All activities related to data management are still manual yet computerized. Based on these problems, a Management Information System in the Warehouse Receipt System in Grobogan Regency is needed. With this system, starting from the process of submission of goods, data collection, pricing, issuance of receipts, until reporting becomes computerized. This study uses the Scrum methodology. At the end of the study, User Acceptance Testing was conducted. Test results show 100% value. The test results indicate the system user needs can be met.","PeriodicalId":402234,"journal":{"name":"2018 International Conference on Orange Technologies (ICOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121403319","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

Design and Implementation of Cloud Service and APP for Drug-Drug Interaction 药物-药物交互云服务和APP的设计与实现

2018 International Conference on Orange Technologies (ICOT) Pub Date : 2018-10-01 DOI: 10.1109/ICOT.2018.8705906

Li-Chai Chen, Jui-Le Chen, Shih-Pang Tseng

{"title":"Design and Implementation of Cloud Service and APP for Drug-Drug Interaction","authors":"Li-Chai Chen, Jui-Le Chen, Shih-Pang Tseng","doi":"10.1109/ICOT.2018.8705906","DOIUrl":"https://doi.org/10.1109/ICOT.2018.8705906","url":null,"abstract":"Adverse Drug Reaction, also known as ADR, is a serious problem that should be avoid when using drugs. ADR might worsen the patient condition or to the extent where patients need to be hospitalized. This results in increasing medical expenses. One of the major reasons causing ADR is drug interaction. Patients with multiple chronic diseases under multiple treatments are the potential group of people at risk to develop drug-drug interactions. In addition, it is extremely difficult for doctors to prescribe medications when they cannot get access to the information of all the drugs and possible drug interactions when patients are under cross-disciplinary or even cross-hospital treatments. Hence, how to decrease the incidence rate of ADR is an important issue. In this study, we have established a cloud database of drug-drug interactions including common danger information and helpful suggestions. On the front page of our cloud database, users can simply enter the key words such as the drug generic name or its drug international classification code at the search box to access the information they need. Doctors and pharmacists can also use this database enquiry system on a daily basis to find out whether if their patients have any drug interactions problems. This can ultimately improve the overall drug safety for patients. Furthermore, our system comes with a mobile application (APP) version letting users to access our database instantly and conveniently.","PeriodicalId":402234,"journal":{"name":"2018 International Conference on Orange Technologies (ICOT)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115633061","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

Knowledge and Prevention of Repetitive Strain Injury Among Computer Users 计算机使用者重复性劳损的知识与预防

2018 International Conference on Orange Technologies (ICOT) Pub Date : 2018-10-01 DOI: 10.1109/ICOT.2018.8705901

Rianto, Arief Hermawan, P. Santosa

引用次数: 1

NUS-HLT Spoken Lyrics and Singing (SLS) Corpus NUS-HLT口语歌词和歌唱(SLS)语料库

2018 International Conference on Orange Technologies (ICOT) Pub Date : 2018-10-01 DOI: 10.1109/ICOT.2018.8705851

Xiaoxue Gao, Berrak Sisman, Rohan Kumar Das, K. Vijayan

引用次数: 8

A stock forecasting method based on combination of SDAE and BP 基于SDAE和BP相结合的股票预测方法

2018 International Conference on Orange Technologies (ICOT) Pub Date : 2018-10-01 DOI: 10.1109/ICOT.2018.8705891

Zheng Li, Xin Dang

{"title":"A stock forecasting method based on combination of SDAE and BP","authors":"Zheng Li, Xin Dang","doi":"10.1109/ICOT.2018.8705891","DOIUrl":"https://doi.org/10.1109/ICOT.2018.8705891","url":null,"abstract":"The neural network, as a non-linear system with large-scale parallel distributed processing, has been widely used in the field of prediction. This paper proposes a stock forecasting method based on the combination of Stacked Denoising AutoEncoders (SDAE) and Back Propagation Neural Network (BPNN). Using more than 4100 historical data of Sinopec Group from 2001/8/8 to 2018/8/16 for Seventeen years, then process the data and select six features of them for training and prediction. The experiment first uses SDAE for training in the pre-training stage to obtain the weights. Then the trained weights of SDAE are assigned to the Back Propagation Neural Network (BPNN) for fine-tuning to optimize the entire network structure. Then optimize the network parameters for further step and chose the best optimal hyperparameter combination. Finally, the prediction is performed on the test set, the Mean Absolute Error (MAE), Error Variance (EV), and Absolute Maximum Error (AME) between the predicted value and the actual value are used as evaluation performance evaluation criteria. The results show that this neural network model can achieve high precision, and provides an effective method for predicting the stock market artificial neural network with many influencing factors and unclear mechanism.","PeriodicalId":402234,"journal":{"name":"2018 International Conference on Orange Technologies (ICOT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134037875","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

Business Intelligence for Analyzing Department Unit Performance in eProcurement System 电子采购系统中部门单位绩效分析的商业智能

2018 International Conference on Orange Technologies (ICOT) Pub Date : 2018-10-01 DOI: 10.1109/ICOT.2018.8705817

Suwarni, S. M. Isa, Karona Cahya Susena, Eko Cahyo Nugroho, A. S. Girsang, Davy Yeria Gunarso

引用次数: 3