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

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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
E. Budiman, Muh Jamil, U. Hairah, H. Jati, Rosmasari
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.
企业规模应用的开发采用面向对象的方法,同时,目前广泛使用的数据库管理系统是关系数据库,关系数据库与面向对象概念的应用开发不匹配是面向对象环境与环境关系数据库管理系统不匹配的问题(失配阻抗)。本文讨论了在生物多样性信息系统(BIS)和模型视图控制器(MVC)开发中使用雄辩对象关系映射(Eloquent Object Relational Mapping, ORM)的实现方法,重点以关联的形式对药用、木材和树木对象之间的关系进行映射;一对一关系,一对多,多对多,多态关系,多对多,多对多多态关系。实现的结果表明,Eloquent ORM拥有的6个关联概念可以简化复杂的代码编写,通过关联类模型来关联表之间的关系,从而促进复杂的数据关系(如BIS),因此它可以成为处理复杂数据情况(如BIS)的解决方案。Eloquent ORM可以通过将数据从关系数据库环境转换为对象形式(反之亦然),在应用层和数据库环境之间进行中介。
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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
Youngkon Lee, Ukhyun Lee
Recently, lots of companies are increasingly applying cloud services to electronic records management. The cloud services can dramatically lower the cost of archiving and managing electronic records and provides a foundation for resilient management of electronic records management, depending on the circumstances of the enterprise. However, due to the nature of service provided by third parties in the cloud, conflicting the nature of electronic records and the intrinsic risks inherent in the cloud, many companies are reluctant to apply the cloud to their electronic records management right away. In this paper, we analyze the risk factors of the electronic records in the cloud services and discuss some alternative models to solve them.
最近,许多公司越来越多地将云服务应用于电子记录管理。云服务可以显著降低归档和管理电子记录的成本,并根据企业的具体情况为电子记录管理的弹性管理提供基础。然而,由于第三方在云中提供的服务的性质,与电子记录的性质和云固有的内在风险相冲突,许多公司不愿意立即将云应用于其电子记录管理。本文分析了云服务中电子记录的风险因素,并讨论了解决这些风险的备选模型。
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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
Paramitha Nerisafitra, Pratiwi Hariyani Putri
This paper proposed combination of Iconix Process and Technique For Others Reference by Similarity to Ideal Solution (TOPSIS) an application method to create a healthy menu meeting the nutritional needs of the family. Iconix Process was used as an approach in application development. While TOPSIS method was used as a tool in providing some healthy alternative menu's with input criteria that was the usual allocation menu, the type of menu materials, the desired portion, and the number of menu combinations. The combination of the two methods produced an application that was able to provide an alternative solution in determining a healthy diet and nutritional needs.
本文提出将Iconix工艺与TOPSIS (Similarity to Ideal Solution)技术相结合的应用方法,打造满足家庭营养需求的健康菜单。Iconix进程被用作应用程序开发的一种方法。TOPSIS方法作为一种工具,用于提供一些健康的替代菜单,输入标准是通常的分配菜单、菜单材料的类型、所需的分量和菜单组合的数量。这两种方法的结合产生了一种应用程序,能够为确定健康饮食和营养需求提供另一种解决方案。
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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
A.-Young Son, E. Huh, Sang-Ho Na, Pillwoo Lee
VM migration has become a hot topic in the Cloud Dater Centers (CDCs). Numerous VM migration schemes are proposed for QoS aimed to improve various metrics affecting the CDCs. Also, it combines a Machine learning approach with modeling and predicting in CDC. Migration scheme through prediction based metric can greatly improve the physical machines resource utilization. Also, effective VM migration scheme can reduce the power consumption and time of the data centers. Thus, it needs to consider metrics which may impact the migration performance and energy efficiency. In this paper, we summarize and classify previous approaches of migration in CDCs. Furthermore, we conclude with a discussion of research problems in this area. In the future work, we will study on live migration mechanism to improve the live migration performance and energy efficiency in the variety of CDCs.
虚拟机迁移已经成为云数据中心的一个热门话题。针对QoS提出了许多VM迁移方案,旨在改进影响cdc的各种度量。此外,它将机器学习方法与CDC中的建模和预测相结合。基于预测度量的迁移方案可以大大提高物理机的资源利用率。有效的虚拟机迁移方案可以降低数据中心的功耗和时间。因此,它需要考虑可能影响迁移性能和能源效率的指标。在本文中,我们总结和分类疾病预防控制中心以前的迁移方法。最后,对该领域的研究问题进行了讨论。在未来的工作中,我们将研究热迁移机制,以提高各种疾病预防控制中心的热迁移性能和能效。
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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
Go Frendi Gunawan, Mukhlis Amien, J. Palandi
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.
基于组件的软件工程(CBSE)是软件工程的一个分支,它强调在给定的软件系统中,对广泛可用的功能进行关注点分离。CBSE的主要优点是组件的分离。单个组件只关注单个任务或相关的任务集合,这允许软件开发人员在其他用例中重用组件。通过使用这种方法,软件开发人员可以专注于单个组件,而不是处理复杂的整体源代码。为了实现理想的CBSE,已经开发了几种方法。最早的实现是UNIX管道和重定向,而更新的方法包括CORBA、XML-RPC和REST。不幸的是,这些方法要么太复杂,要么缺乏功能。因此,在这项研究中开发了一个简单的语言不可知论框架,即嵌合体。Chimera是基于Node.js构建的。该框架允许开发人员在链(YAML格式的文件)中构建管道流以及定义全局变量。与UNIX的命名和未命名管道相比,这种格式更简单、更灵活。另一方面,与XML-RPC、REST和CORBA不同,Chimera要简单得多。HTTP协议仅在分布式计算场景下使用。它也不需要组件知道它们是在框架之上工作的。
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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
Taesik Kim, Hong Min, Jisu Park, Jaeuk Lee, Jinman Jung
This Recently, vehicular cloud computing has been studied to take advantage of vehicular resources such as computing, storage and network in order to utilize them as a data center. In this paper, we analyze the parking lots as a datacenter and classify its types based on the properties required in the vehicular clouds. Through the case analysis of various parking lots, we study the dynamic environmental parameters that can affect the vehicle cloud performance. In the emerging trends of the electric vehicle, this results can be used as a preliminary analysis tool for vehicular cloud computing.
近年来,人们对车载云计算进行了研究,利用车载计算、存储和网络等资源,将其作为数据中心加以利用。本文将停车场作为数据中心进行分析,并根据车辆云所需的属性对其进行分类。通过对各类停车场的案例分析,研究了影响车辆云性能的动态环境参数。在电动汽车的新兴趋势中,这一结果可以作为车载云计算的初步分析工具。
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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
S. Syarif, Anwar, Dewiani
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.
快速和准确的决策目前已成为现代政府的特点,因为信息和通信技术的发展也非常迅速。预测热门话题是支持快速准确决策的一种方法。本研究旨在通过分析数据挖掘中的历史堆栈,协助望加锡市政府预测即将发生的趋势话题。使用的方法是k -最近邻(KNN),其中根据类的隶属距离确定趋势主题的预测。本研究基于与望加锡市政府相关的网络和社交媒体上的新闻和对话,使用393.667个原始数据进行预处理,确定趋势和非趋势对话,产生2007年训练和测试的数据。应用的系统性能分析技术是混淆矩阵,计算准确率、精密度和召回率的百分比。结果表明,使用k -最近邻(KNN)方法可以获得81.13%的准确率。
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引用次数: 7
期刊
2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)
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