2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)最新文献_第10页

Eloquent object relational mapping models for biodiversity information system 生物多样性信息系统的雄辩对象关系映射模型

2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) Pub Date : 2017-08-01 DOI: 10.1109/CAIPT.2017.8320662

E. Budiman, Muh Jamil, U. Hairah, H. Jati, Rosmasari

{"title":"Eloquent object relational mapping models for biodiversity information system","authors":"E. Budiman, Muh Jamil, U. Hairah, H. Jati, Rosmasari","doi":"10.1109/CAIPT.2017.8320662","DOIUrl":"https://doi.org/10.1109/CAIPT.2017.8320662","url":null,"abstract":"Enterprise-scale applications are developed with an object-oriented approach, meanwhile, the widely used database management system now is a relational database, the mismatch between relational database and application development of the object-oriented concept is a problem between object-oriented environment with environment Relational Database Management System (mismatch impedances). This paper discusses the implementation of Eloquent Object Relational Mapping (ORM) for developing of Biodiversity Information System (BIS) and Model View Controller (MVC), which focuses on mapping the relations medicinal, wood, and tree object in the form of associations; One to One relationship, One to Many, Many to Many, Polymorphic Relations, Many Through Many, Many to Many Polymorphic Relations. The results of the implementation explain that the six concepts of association owned by Eloquent ORM can facilitate complex data relationships such as BIS by simplifying complex code writing to relate between tables by relating the class model so that it can be a solution to deal with complex data cases such as BIS. Eloquent ORM can mediate between the application layer and the database environment by transforming data from the relational database environment into object form and vice versa.","PeriodicalId":351075,"journal":{"name":"2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114659422","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: 20

Issues and concerns: Record management in cloud services 问题和关注点:云服务中的记录管理

2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) Pub Date : 2017-08-01 DOI: 10.1109/CAIPT.2017.8320745

Youngkon Lee, Ukhyun Lee

引用次数: 0

Establishing decision support system for determination healthy menu based in multi criteria and interatice approach 建立基于多准则和交互方法的健康菜单决策支持系统

2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) Pub Date : 2017-08-01 DOI: 10.1109/CAIPT.2017.8320703

Paramitha Nerisafitra, Pratiwi Hariyani Putri

引用次数: 0

Migration scheme based machine learning for QoS in cloud computing: Survey and research challenges 云计算中基于机器学习的QoS迁移方案:调查和研究挑战

2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) Pub Date : 2017-08-01 DOI: 10.1109/CAIPT.2017.8320748

A.-Young Son, E. Huh, Sang-Ho Na, Pillwoo Lee

引用次数: 0

Chimera — Simple language agnostic framework for stand alone and distributed computing Chimera -独立和分布式计算的简单语言无关框架

2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) Pub Date : 2017-08-01 DOI: 10.1109/CAIPT.2017.8320654

Go Frendi Gunawan, Mukhlis Amien, J. Palandi

{"title":"Chimera — Simple language agnostic framework for stand alone and distributed computing","authors":"Go Frendi Gunawan, Mukhlis Amien, J. Palandi","doi":"10.1109/CAIPT.2017.8320654","DOIUrl":"https://doi.org/10.1109/CAIPT.2017.8320654","url":null,"abstract":"Component-Based Software Engineering (CBSE) is a branch of software engineering that emphasizes the separation of concerns with respect to the wide-ranging functionality available throughout a given software system. The main advantage of CBSE is separation of components. A single component only focus on a single task or a related collection of tasks which allowing software developer to reuse the component for other use-cases. By using this approach, software developers can focus on single components rather than dealing with complex monolithic source code. Several approaches have already been developed in order to achieve ideal CBSE. The earliest implementation was UNIX pipe and redirect, while the newer approach including CORBA, XML-RPC, and REST. Unfortunately those approaches are either too complex or lack of features. Therefore, a simple language-agnostic framework, so called Chimera, was developed in this research. Chimera was built on top of Node.js. This framework allows developer to build pipe flow in a chain (a YAML formatted file) as well as defining global variables. Compared to UNIX named and unnamed pipe, this format is easier and more flexible. On the other hand, unlike XML-RPC, REST, and CORBA, Chimera is much simpler. HTTP protocol is only required for distributed computing scenario. Nor it require the components to be aware that they works on top of the framework.","PeriodicalId":351075,"journal":{"name":"2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132024932","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

Analysis on characteristics of vehicle and parking lot as a datacenter 车辆与停车场作为数据中心的特点分析

2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) Pub Date : 2017-08-01 DOI: 10.1109/CAIPT.2017.8320719

Taesik Kim, Hong Min, Jisu Park, Jaeuk Lee, Jinman Jung

引用次数: 7

Trending topic prediction by optimizing K-nearest neighbor algorithm 基于优化k近邻算法的趋势话题预测

2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) Pub Date : 2017-08-01 DOI: 10.1109/CAIPT.2017.8320711

S. Syarif, Anwar, Dewiani

{"title":"Trending topic prediction by optimizing K-nearest neighbor algorithm","authors":"S. Syarif, Anwar, Dewiani","doi":"10.1109/CAIPT.2017.8320711","DOIUrl":"https://doi.org/10.1109/CAIPT.2017.8320711","url":null,"abstract":"Quick and accurate decision-making has currently been a modern governmental characteristic, since the development of information and communication technologies also grow very rapidly. One way to support the quick and accurate decision-making is predicting the trending topic. The research aimed at assisting the government of Makassar City to predict the trending topic which would happen by analyzing the historical stack in the data mining. The method used was K-Nearest Neighbor (KNN), in which prediction on the trending topic was determined based on the membership distance of a class. The research was conducted based on the news and conversation taken from the online and social media related to Makassar City Government with 393.667 raw data, in which the preprocessing was then carried out to determine the trending and non-trending conversations, producing 2007 trained and tested data. The system performance analysis technique applied was confusion matrix with calculation of percentages of the accuracy, precision, and recall. The result showed that using K-Nearest Neighbor (KNN), the accuracy of 81,13% is obtained.","PeriodicalId":351075,"journal":{"name":"2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123701668","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: 7