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2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)最新文献

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Application of the Artifical Neural Network in Predicting the Direction of Stock Market Index 人工神经网络在股票市场指数走向预测中的应用
M. Qiu, Li Cheng, Song Yu
In the business sector, it has always been a difficult task to predict the exact daily price of the stock market index, hence, there is a great deal of research being conducted regarding the prediction of the direction of stock price index movement. Many factors such as political events, general economic conditions, and traders' expectations may have an influence on the stock market index. There are numerous research studies that use indicators to forecast the direction of the stock market index. In this study, we applied two types of input variables to predict the direction of the daily stock market index. The main contribution of this study is the ability to predict the direction of the next day's price of the Japanese stock market index by using an optimized artificial neural network (ANN) model. To improve the prediction accuracy of the trend of the stock market index in the future, we optimize the ANN model using genetic algorithms (GA). We demonstrate and verify the predictability of stock price direction by using the hybrid GA-ANN model and then compare the performance with prior studies. Empirical results show that the Type 2 input variables can generate a higher forecast accuracy and that it is possible to enhance the performance of the optimized ANN model.
在商业领域,准确预测股票市场指数的每日价格一直是一项困难的任务,因此,对股票价格指数运动方向的预测进行了大量的研究。许多因素,如政治事件、总体经济状况和交易者的预期都可能对股票市场指数产生影响。利用指标预测股市指数走向的研究有很多。在本研究中,我们使用两种类型的输入变量来预测每日股市指数的方向。本研究的主要贡献是利用优化的人工神经网络(ANN)模型预测日本股市指数次日价格走向的能力。为了提高未来股市指数趋势的预测精度,我们采用遗传算法对人工神经网络模型进行优化。本文利用GA-ANN混合模型验证了股价走势的可预测性,并与前人的研究结果进行了比较。实证结果表明,二类输入变量可以产生更高的预测精度,优化后的人工神经网络模型的性能有可能得到提高。
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引用次数: 28
Intelligent Tutoring System for Learning Digital Systems on MOOC Environments 面向MOOC环境下数字化系统学习的智能辅导系统
David Bañeres, Joaquín Saiz
The number of Massive Open Online Courses (MOOCs) has increased exponentially in the last years in all areas of knowledge. Some of these courses require that the learner has to acquire practical skills. This is a challenge for a MOOC since scalable new methodologies and tools have to be developed to teach and assess these skills. This paper presents an intelligent tutoring system (ITS) adapted for a MOOC to learn digital systems design. Learning this skill has several difficulties mostly for novice learners in the area of Computer Science or Electronic Engineering specialties. The problem aggravates on virtual environments without face-to-face interaction with the instructor. ITSs are suitable for MOOC environments since they promote the self-learning process and they improve the support to personalized feedback.
大规模在线开放课程(MOOCs)的数量在过去几年里在所有知识领域都呈指数级增长。其中一些课程要求学习者必须掌握实用技能。这对MOOC来说是一个挑战,因为必须开发可扩展的新方法和工具来教授和评估这些技能。提出了一种适用于MOOC数字化系统设计学习的智能辅导系统。对于计算机科学或电子工程专业的新手来说,学习这种技能有几个困难。在没有与教师面对面交流的虚拟环境中,问题会加剧。ITSs适合于MOOC环境,因为它促进了自我学习过程,并改善了对个性化反馈的支持。
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引用次数: 11
BUSSOLA: A Cloud Collaborative Platform of Oriented Services to Passengers BUSSOLA:面向乘客服务的云协同平台
L. Mossucca, Klodiana Goga, Gianluca Spoto, Thomas Bolognesi, G. Caragnano
BUS Services Mobilizing Living Lab, namely BUSSOLA, focuses on means of transport for people to make a living lab on the move upon which to design, implement and test innovative services that uses and feeds platform SmartDataNet. In particular, thanks to several sensors and devices, the system pays attention on three main macro-areas: air quality monitoring, passengers monitoring and safety on board the vehicles. A distributed and modular architecture has been adopted, to communicate and manage heterogeneous information. The solution is based on cloud technology for a better flexibility and scalability system and an easier adaptation at future requirements in term of computational resource and storage. It allows to experiment and adopt paradigms typical of the world of the Internet of Things and the Internet of Services, it made available by the platform SmartDataNet starting from the processing of big data and open-data.
巴士服务动员生活实验室,即BUSSOLA,专注于人们的交通工具,使生活实验室在移动中设计,实施和测试使用平台SmartDataNet的创新服务。特别是,由于几个传感器和设备,该系统关注三个主要的宏观领域:空气质量监测、乘客监测和车辆安全。采用分布式模块化体系结构,实现异构信息的通信和管理。该解决方案基于云技术,以获得更好的灵活性和可扩展性系统,并更容易适应未来在计算资源和存储方面的需求。它允许实验和采用物联网和服务互联网世界的典型范例,它由SmartDataNet平台从大数据和开放数据的处理开始。
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引用次数: 1
A Model for Migration of Virtual Machines to Reduce Electric Energy Consumption 一种减少电能消耗的虚拟机迁移模型
Dilawaer Duolikun, Ryoma Watanabe, T. Enokido, M. Takizawa
We have to reduce the electric energy consumed by servers in a cluster in order to realize eco-society. Types of algorithms for a request process to select an energy-efficient server in a cluster of servers are proposed in our previous studies. Furthermore, algorithms for energy-efficiently migrating a process on a host server to a more energy-efficient guest server is discussed. Virtual machines are now widely used to support applications with virtual computation service in cloud computing systems. Here, a virtual machine can migrate to a guest server, e.g. which is less loaded. By migrating a virtual machine, application processes performed on the virtual machine can also migrate from a host server to another guest server. In this paper, we newly propose an energy-aware migration algorithm of virtual machines (EAMV). Here, processes on a virtual machine can migrate to a guest server which consumes smaller electric energy and can be energy-efficiently performed in a cluster. We evaluate the EAMV algorithm compared with non-migration algorithms in terms of the total electric energy consumption and execution time of processes. We show the electric energy consumption and average execution time can be reduced in the EAMV algorithm.
为了实现生态社会,我们必须减少集群中服务器消耗的电能。在以往的研究中,提出了请求进程在服务器集群中选择节能服务器的算法类型。此外,还讨论了将主机服务器上的进程节能地迁移到更节能的客户机服务器的算法。在云计算系统中,虚拟机被广泛用于支持具有虚拟计算服务的应用程序。在这里,虚拟机可以迁移到客户机服务器,例如,客户机服务器的负载更少。通过迁移虚拟机,在虚拟机上执行的应用程序进程也可以从一台主机服务器迁移到另一台客户机服务器。本文提出了一种能量感知的虚拟机迁移算法(EAMV)。在这里,虚拟机上的进程可以迁移到客户机服务器,客户机服务器消耗更少的电能,并且可以在集群中高效地执行。我们将EAMV算法与非迁移算法在总电能消耗和进程执行时间方面进行了比较。我们证明了EAMV算法可以减少电能消耗和平均执行时间。
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引用次数: 12
Practice of Programming Education Using Scratch and NanoBoardAG for High School Students 高中学生使用Scratch和NanoBoardAG编程教育的实践
Kazuaki Yoshihara, Kenzi Watanabe
We have had practice of programming education using Scratch, which is a visual programming environment, and NanoBoardAG, which is a microcomputer board with multiple sensors. After students learned the basics of programming and how to treat values that sensors measured, they produced original games while giving ideas each other. Finally, they published completed games.
我们用Scratch(一种可视化编程环境)和NanoBoardAG(一种带有多个传感器的微型计算机板)进行了编程教育实践。在学生们学习了编程的基础知识以及如何处理传感器测量的值之后,他们便能够在互相提供想法的同时创造出原创游戏。最后,他们发行了完整的游戏。
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引用次数: 4
DrbCF: A Differentiated Ratio-Based Approach to Job Scheduling in Cloud Federation DrbCF:一种基于差异化比率的云联合作业调度方法
Phuong Nguyen, N. Thoai
The utilization and flexibility of using resource embrace each organization builds its own private cloud. Cloud Federation is a recent paradigm that helps deal with both physical resources under-utilization and resource limitation in their local infrastructure. Due to the management separation, we are interested in self-sufficiency approach in discovering and matchmaking to establish the federation with other clouds. We leverage event-based design helps communicate over sites to enable negotiate scheduling between among providers. We propose decentralized broker supporting differentiated ratio-base job scheduling (DrbCF) to manage send/receive workload. Our evaluation shows the ability to accept new small capacity member and improve overall federation throughput with the differentiated rate approximately 14-16%. DrbCF is a useful tool supporting the differentiated capacity sites as well as the dynamic of interconnect structure under cloud circumstance.
利用资源的利用率和灵活性包括每个组织构建自己的私有云。Cloud Federation是最近的一个范例,它可以帮助处理本地基础设施中物理资源利用率不足和资源限制的问题。由于管理分离,我们对自给自足的方式感兴趣,在发现和配对中建立与其他云的联盟。我们利用基于事件的设计帮助在站点上进行通信,以便在提供者之间协商调度。我们提出分散式代理支持基于差别化比率的作业调度(DrbCF)来管理发送/接收工作负载。我们的评估显示,能够接受新的小容量成员,并以大约14-16%的差异率提高总体联邦吞吐量。DrbCF是一种支持云环境下不同容量站点和互联结构动态的有用工具。
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引用次数: 1
Design of an Omnidirectional Wheelchair for Playing Tennis 全向网球轮椅的设计
Keita Matsuo, L. Barolli
In our precious work, we presented the design and implementation of a omnidirectional wheelchair. The wheelchair with good performance for the aged and disabled is attracting attention from the society. Also, the wheelchair can provide the user with many benefits, such as maintaining mobility, continuing or broadening community and social activities, conserving strength and energy, and enhancing quality of life. The wheelchair body must be compact enough and should be able to make different movements in order to have many applications. In this paper, we present the design of an omnidirectional wheelchair for playing tennis. Finally, we discuss some implementation and application issues.
在我们宝贵的工作中,我们提出了一个全向轮椅的设计和实现。具有良好性能的老年人和残疾人轮椅正受到社会的关注。此外,轮椅可以为使用者提供许多好处,例如保持行动能力,继续或扩大社区和社会活动,保存力量和能量,提高生活质量。轮椅的身体必须足够紧凑,应该能够做出不同的运动,以便有许多应用。本文介绍了一种全向网球轮椅的设计。最后,我们讨论了一些实现和应用问题。
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引用次数: 1
DEAC: Depth and Energy Aware Cooperative Routing Protocol for Underwater Wireless Sensor Networks 水下无线传感器网络的深度和能量感知协同路由协议
Khayyam Pervaiz, Abdul Wahid, M. Sajid, Malik Khizar, Z. Khan, U. Qasim, N. Javaid
In Underwater Wireless Sensor Networks (UWSNs), reliability is one of the major concerns for large number of applications. The underwater environment is very harsh and noisy. Fading is common and unavoidable, therefore achieving reliable data transfer requires innovative routing solutions. This paper presents a energy efficient cooperative routing with varying Depth threshold (Dth) called Depth and Energy Aware Cooperative Routing Protocol for UWSNs (DEAC). DEAC utilizes the broadcast nature of sensor nodes by performing cooperative routing. Optimised value of Dth is selected for a source node and varied according to the number of alive neighbors of that source node. Potential destination node is selected from outside of Dth and a potential relay node is selected from inside. Destination and relay are selected on the basis of depth, residual energy and link quality between sensor nodes. Source node forwards a data packet to destination node from two ways, directly from source node to destination node and via relay to destination node. At destination, two data packets received from source node and relay node are combined using Maximum Ratio Combining Technique (MRC). Simulation results show that DEAC achieves better performance over some existing depth based routing protocols in terms of throughput, packet Acceptance ratio, packet drop and energy consumption.
在水下无线传感器网络(UWSNs)中,可靠性是大量应用的主要问题之一。水下环境非常恶劣和嘈杂。衰落是常见的和不可避免的,因此实现可靠的数据传输需要创新的路由解决方案。本文提出了一种具有不同深度阈值(Dth)的高效节能协同路由,称为深度和能量感知uwsn协同路由协议(DEAC)。DEAC通过执行协同路由来利用传感器节点的广播特性。为源节点选择最优的Dth值,并根据该源节点的存活邻居数量变化。从Dth外部选择潜在目的节点,从内部选择潜在中继节点。根据传感器节点之间的深度、剩余能量和链路质量选择目的地和中继。源节点通过两种方式将数据包转发到目的节点,一种是直接从源节点转发到目的节点,另一种是通过中继转发到目的节点。在目的端,使用最大比率合并技术(MRC)对源节点和中继节点接收到的两个数据包进行合并。仿真结果表明,与现有的基于深度的路由协议相比,DEAC在吞吐量、包接受率、丢包率和能耗方面都取得了更好的性能。
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引用次数: 21
Experimental Verification of Docker-Based Distributed Cloud Applications for Secured Mobile VoIP 基于docker的安全移动VoIP分布式云应用实验验证
Byung-Rae Cha, Sun Park, JongWon Kim
Cloud computing paradigm has been driving the cloud-leveraged refactoring of existing ICT services including VoIP. In this paper, we design and prototype secured mobile VoIP services with open-source Asterisk PBX software by employing Docker lightweight virtualization for mobile devices. We also experimentally verify the quality of secured voice and the associated communication delay over distributed global connectivity environment.
云计算范式一直在推动现有ICT服务(包括VoIP)的云杠杆重构。本文采用Docker轻量级虚拟化技术,利用开源的Asterisk PBX软件设计并原型化了安全的移动VoIP服务。我们还通过实验验证了分布式全局连接环境下安全语音的质量和相关的通信延迟。
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引用次数: 0
Tourism Local Community System Using LOD 基于LOD的旅游地方社区系统
T. Wakahara, Toshitaka Maki, Kazuki Takahashi, A. Yamaguchi, Shinichiro Kimoto, Akinori Takagi, Yu Ichifuji, N. Sonehara
This paper presents a new tourism local community system based on the LOD (Linked Open Data). In this study, the tourism-related data are converted into the RDF (Resource Description Framework) data and stored as LOD database in the local community system. N-triple data are generated by parsing the texts and connected to other related terms. Therefore, the relationship could be realized close to the ontology. The prototype system is constructed and the validity of the proposed system is confirmed by the experiments.
提出了一种基于链接开放数据(LOD)的旅游地方社区系统。本研究将旅游相关数据转换为RDF (Resource Description Framework)数据,并以LOD数据库的形式存储在当地社区系统中。通过解析文本生成n -三重数据,并连接到其他相关术语。因此,可以实现接近本体的关系。构建了原型系统,并通过实验验证了系统的有效性。
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引用次数: 2
期刊
2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)
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