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The Usefulness of a Simulated Environment in Ethnographic Research for Gaming and HCI 模拟环境在游戏和人机交互人种学研究中的作用
Pub Date : 2014-09-16 DOI: 10.1037/e527382013-009
N. Z. Abidin, Robert Wellington
Ethnography is now a widely used research method in information systems and gaming. It is one of the most in-depth research methods that can capture people’s feelings, behavior and opinions by the researcher getting immersed in the study. The main aspect of the research method is gathering the data by being in the ‘field’, gaining a deep insight by participating and observing the culture being studied. The authors have replaced the ‘field’ with simulated environments, and although this would tend to infer a less rich or truthful ethnographic study (from a purist’s perspective), they reflect on the usefulness in the context of two ongoing research studies. A Simulated Gaming Environment is proving to offer a suitably ‘real’ experience for the first author’s research, and a driving simulator is the only option for the second.
民族志是一种广泛应用于信息系统和游戏领域的研究方法。它是一种最深入的研究方法,可以捕捉到人们的感受,行为和意见的研究人员沉浸在研究中。研究方法的主要方面是通过“实地”收集数据,通过参与和观察所研究的文化获得深刻的见解。作者已经用模拟环境取代了“场”,尽管这可能会推断出一个不那么丰富或真实的人种学研究(从纯粹主义者的角度来看),但他们反映了两项正在进行的研究的有用性。模拟游戏环境为第一作者的研究提供了合适的“真实”体验,而驾驶模拟器是第二作者的唯一选择。
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引用次数: 3
Developing a neighborhood-scale wireless notification prototype 开发一个社区规模的无线通知原型
Pub Date : 2014-09-13 DOI: 10.5176/2010-2283_1.2.63
M. Venkatesh, Bahram Attaie
We outline an innovative approach to the development of a prototype of a neighborhood notification system (NNS). The NNS application residing on smart phones will use software defined radio and cognitive radio components to interface with radio frequency transceivers. Mesh networking is proposed for emergency notification and disaster response coordination using NNS. Our focus has been on the IEEE 802.15.4 and the very recent IEEE 802.15.5 mesh networking standard for low data rate connectivity among low power nodes (or nodes whose power consumption needs to be low). The innovation stems from bringing together different hardware and software components – some of which, like our Software Defined Radio (SDR) platform, are themselves still evolving and others, like the meshing platform, are very new – to propose an adaptive, reconfigurable, infrastructure-less ad hoc wireless solution to emergency communications in the unlicensed ISM RF band.
我们概述了一种创新的方法来开发一个邻里通知系统(NNS)的原型。智能手机上的NNS应用程序将使用软件定义无线电和认知无线电组件与射频收发器进行接口。提出了利用神经网络进行应急通知和灾害响应协调的Mesh网络。我们的重点是IEEE 802.15.4和最近的IEEE 802.15.5网状网络标准,用于低功耗节点(或需要低功耗的节点)之间的低数据速率连接。创新源于将不同的硬件和软件组件(其中一些,如我们的软件定义无线电(SDR)平台,本身仍在发展中,而其他的,如网格平台,是非常新的)结合在一起,提出一种自适应的、可重构的、无基础设施的自组织无线解决方案,用于未经许可的ISM RF频段的紧急通信。
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引用次数: 0
The ICT Induced Business Reconfiguration from Evolution to Revolution (A Case Study of Public Sector Banks in Sri Lanka) 信息通信技术诱导的业务重构:从进化到革命(以斯里兰卡公共部门银行为例)
Pub Date : 2014-09-13 DOI: 10.5176/2010-2283_1.2.51
P. Selvarajan
This paper explores the recent revolutionary levels of Business Reconfiguration in the Public Sector Banks in Sri Lanka through a Case Study exploratory analysis. This study has compared the five levels of Business Reconfiguration introduced by Venkatraman (1991) with the Sri Lankan Public Sector Banks. Findings show that rather than evolutionary levels, these banks have achieved the revolutionary levels of business Reconfiguration within a short period of time and it is believed that they will achieve the optimum capability of level five in near future.
本文通过案例研究探索性分析,探讨了斯里兰卡公共部门银行业务重构的最新革命性水平。本研究将Venkatraman(1991)提出的五个层次的业务重构与斯里兰卡公共部门银行进行了比较。研究结果表明,这些银行在短时间内达到了革命性的业务重构水平,而不是进化水平,相信它们将在不久的将来达到第五级的最佳能力。
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引用次数: 1
Securing End-to-End Wireless Mesh Networks Ticket-Based Authentication. 保护端到端无线网状网络基于票证的认证。
Pub Date : 2014-09-13 DOI: 10.5176/2010-2283_1.2.64
Rushdi A. Hamamreh, Anas M. Melhem
Hybrid wireless mesh network (WMN) consists of two types of nodes: Mesh Routers which are relatively static and energy-rich devices, and Mesh Clients which are relatively dynamic and power constrained devices. In this paper we present a new model for WMN end-to-end security which divide authentication process into two phases: Mesh Access Point phase which based on asymmetric cryptography and Mesh Client phase which based on a server-side certificate such as EAP-TTLS and PEAP.
混合无线网状网络(WMN)由两种类型的节点组成:相对静态且能量丰富的mesh router和相对动态且功率受限的mesh client。本文提出了一种新的WMN端到端安全模型,该模型将认证过程分为两个阶段:基于非对称加密的Mesh Access Point阶段和基于服务器端证书(如EAP-TTLS和PEAP)的Mesh Client阶段。
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引用次数: 0
Applying GPUs for Smith-Waterman Sequence Alignment Acceleration 应用gpu实现Smith-Waterman序列对齐加速
Pub Date : 2014-09-13 DOI: 10.5176/2010-2283_1.2.56
Phong H. Pham, N. Duong, N. M. Ta, Cuong Q.Tran, D. Nguyen, T. Nguyen, H. D. Le
The Smith-Waterman algorithm is a common local sequence alignment method which gives a high accuracy. However, it needs a high capacity of computation and a large amount of storage memory, so implementations based on common computing systems are impractical. Here, we present our implementation of the Smith-Waterman algorithm on a cluster including graphics cards (GPU cluster) – swGPUCluster. The algorithm implementation is tested on a cluster of two nodes: a node is equipped with two dual graphics cards NVIDIA GeForce GTX 295, the other node includes a dual graphics cards NVIDIA GeForce 295 and a Tesla C1060 card. Depending on the length of query sequences, the swGPUCluster performance increases from 37.33 GCUPS to 46.71 GCUPS. This result demonstrates the great computing power of GPUs and their high applicability in the bioinformatics field.
Smith-Waterman算法是一种常用的局部序列比对方法,具有较高的精度。然而,它需要高计算能力和大量的存储内存,因此基于普通计算系统的实现是不切实际的。在这里,我们展示了Smith-Waterman算法在一个包含显卡(GPU集群)的集群上的实现——swGPUCluster。算法实现在两个节点的集群上进行测试:一个节点配备了两个NVIDIA GeForce GTX 295双显卡,另一个节点包括一个NVIDIA GeForce 295双显卡和一个Tesla C1060卡。根据查询序列的长度,swgucluster的性能从37.33 GCUPS增加到46.71 GCUPS。这一结果证明了gpu的强大计算能力及其在生物信息学领域的高适用性。
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引用次数: 4
A Knowledge Management Approach: Business Intelligence in an Intranet Data Warehouse 知识管理方法:内部网数据仓库中的商业智能
Pub Date : 2014-09-13 DOI: 10.5176/2010-2283_1.2.59
Lisa Soon, C. Fraser
For contemporary businesses to stay viable, business intelligence is mission critical. Although the importance of business intelligence is recognised, there is limited research on what information contributes to business intelligence and how business intelligence is sought for use in an organisational intranet. This research discusses how business intelligence is sought, captured and used having tapped into an intranet data warehouse as a knowledge management approach. It adopts qualitative case study method using interviews and observation techniques. A case study was conducted to examine how an Intranet system was designed, how business intelligence was captured, and how it aided strategic planning and decision making in business operation. The respondents explained how structured business intelligence data was categorised and disseminated to users and how the used information empowered staff in their work performance. The intranet design successfully retains staff knowledge within the organisation. It was also successful in drawing all internal resources together, capturing resources from external sources, and forming a common repository of organisational assets for use through organisational work procedures within the intranet.
现代企业要想生存,商业智能是关键任务。虽然人们认识到商业智能的重要性,但对于哪些信息有助于商业智能以及如何在组织内部网中寻求商业智能的使用,研究却很有限。本研究讨论了利用内部网数据仓库作为知识管理方法,如何寻找、捕获和使用商业智能。本研究采用定性案例研究方法,运用访谈和观察技巧。进行了一个案例研究,以检查如何设计内部网系统,如何捕获商业智能,以及它如何帮助业务操作中的战略规划和决策制定。受访者解释了结构化商业智能数据是如何分类和分发给用户的,以及所使用的信息如何增强员工的工作绩效。内部网的设计成功地将员工的知识保留在组织内部。它还成功地将所有内部资源汇集在一起,从外部资源获取资源,并形成一个组织资产的公共存储库,以便通过内部网内的组织工作程序使用。
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引用次数: 1
Rotation independent hierarchical representation for Open and Closed Curves and its Applications 开闭曲线的旋转无关分层表示及其应用
Pub Date : 2014-09-04 DOI: 10.5176/2010-2283_1.2.38
Vineetha Bettaiah, Thejaswi Raya, H. Ranganath, Siddharth Shivapuja
The algorithm used for the segmentation of an image, and scheme used for the representation of the segmentation result are mostly selected based on the final image analysis or interpretation objective. The boundary based image segmentation and representation system developed by Nabors segments and stores the result as a graph-tree hierarchical structure that is capable of supporting diverse applications. This paper shows that Nabors’ hierarchical representation of curves is not invariant to rotation, and proposes an enhanced representation which retains its structure and remains invariant under rotation. The curve matching algorithm which matches two curves based on their hierarchical representation makes it easy to determine if a curve is a section of a larger curve. The potential of the representation is illustrated by developing image registration and image stitching methods based on the new representation.
用于图像分割的算法和用于分割结果表示的方案大多是基于最终的图像分析或解释目标来选择的。Nabors开发的基于边界的图像分割和表示系统将结果分割并存储为能够支持多种应用的图树层次结构。本文证明了曲线的Nabors分层表示不受旋转的影响,并提出了一种增强表示,使其在旋转下保持结构不变。曲线匹配算法根据两条曲线的层次表示进行匹配,可以很容易地确定一条曲线是否是一条更大曲线的一部分。通过开发基于新表示的图像配准和图像拼接方法,说明了该表示的潜力。
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引用次数: 0
Application Virtualization for Teaching Hospitals in Nigeria 尼日利亚教学医院的应用虚拟化
Pub Date : 2014-09-04 DOI: 10.5176/2010-2283_1.2.37
Desmennu Senanu Rita, I. Nicholas
Information technology has improved operations management globally. The health sector has benefited from this revolution through the introduction of eHealth solutions. The cost-effective utilization of Information Technology and flexibility in adapting and adopting organizational changes has posed some challenges to health institutions in developing countries. In the case of Nigeria, the implementation of the National Health Policy entails the delivery of a full-packaged health care system; this package includes health education, maternal, newborn and child healthcare, nutrition and immunization. All these, require record keeping and data storage. The management of massive data storage and its availability on-demand has been sources of concern to health institutions in the country. This has brought about a slow rate in hospital-tohospital collaboration, insecure information exchange between and across institutions and lack of proper accountability in the health sector amongst other challenges. In this paper we propose a Cloud computing infrastructure which will adopt application virtualization to address the challenges in health care delivery in the country. This is an emerging technology that will provide eHealth solutions as services to tenants; a process known as Software-as-a- Service (SaaS). The infrastructure should deliver a single application through the browser to thousands of clients or stakeholders using scalable multitenant architecture. This will help to minimize cost, manage healthcare resources effectively, and help with the realization of the Millennium Development Goals (MDGs) on healthcare.
信息技术改善了全球的运营管理。通过引入电子医疗解决方案,卫生部门从这场革命中受益。具有成本效益地利用信息技术以及在适应和采用组织变革方面的灵活性给发展中国家的卫生机构带来了一些挑战。就尼日利亚而言,国家卫生政策的实施需要提供完整的一揽子卫生保健系统;这一揽子计划包括保健教育、孕产妇、新生儿和儿童保健、营养和免疫。所有这些都需要记录和数据存储。大规模数据存储的管理及其按需可用性一直是该国卫生机构关注的问题。这导致医院与医院之间的合作速度缓慢,机构之间和机构之间的信息交换不安全,卫生部门缺乏适当的问责制以及其他挑战。在本文中,我们提出了一种云计算基础设施,该基础设施将采用应用虚拟化来解决该国医疗保健服务中的挑战。这是一项新兴技术,将为租户提供电子健康解决方案作为服务;一个被称为软件即服务(SaaS)的过程。基础设施应该通过浏览器将单个应用程序交付给使用可伸缩多租户体系结构的数千个客户机或涉众。这将有助于最大限度地降低成本,有效地管理医疗资源,并有助于实现关于医疗保健的千年发展目标。
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引用次数: 1
GPUMemSort: A High Performance Graphics Co-processors Sorting Algorithm for Large Scale In-Memory Data GPUMemSort:一种用于大规模内存数据的高性能图形协处理器排序算法
Pub Date : 2014-09-04 DOI: 10.5176/2010-2283_1.2.34
Yin Ye, Zhihui Du, David A. Bader, Quan Yang, Weiwei Huo
In this paper, we present a GPU-based sorting algorithm, GPUMemSort, which achieves high performance in sorting large-scale in-memory data by take advantage of GPU processors. It consists of two algorithms: an in-core algorithm, which is responsible for sorting data in GPU global memory efficiently, and an out-of-core algorithm, which is responsible for dividing large-scale data into multiple chunks that fit GPU global memory. GPUMemSort is implemented based on NVIDIA’s CUDA framework and some critical and detailed optimization methods are also presented. The tests of different algorithms have been run on multiple data sets. The experimental results show that our in-core sorting can outperform other comparison-based algorithms and GPUMemSort is highly effective in sorting large-scale inmemory data.
在本文中,我们提出了一种基于GPU的排序算法GPUMemSort,该算法利用GPU处理器实现了对内存中大规模数据的高效排序。它由两种算法组成:一种是核心算法,负责有效地对GPU全局内存中的数据进行排序,另一种是核心算法,负责将大规模数据划分为适合GPU全局内存的多个块。GPUMemSort是基于NVIDIA的CUDA框架实现的,并给出了一些关键和详细的优化方法。不同算法的测试已经在多个数据集上运行。实验结果表明,GPUMemSort算法的性能优于其他基于比较的算法,在大规模内存数据排序中具有很高的效率。
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引用次数: 19
Efficient Fractal Image Coding using Fast Fourier Transform 快速傅里叶变换的高效分形图像编码
Pub Date : 2014-09-04 DOI: 10.5176/2010-2283_1.2.36
S. B. Dhok, R. Deshmukh, A. Keskar
The fractal coding is a novel technique for image compression. Though the technique has many attractive features, the large encoding time makes it unsuitable for real time applications. In this paper, an efficient algorithm for fractal encoding which operates on entire domain image instead of overlapping domain blocks is presented.The algorithm drastically reduces the encoding time as compared to classical full search method. The reduction in encoding time is mainly due to use of modified crosscorrelation based similarity measure. The implemented algorithm employs exhaustive search of domain blocks and their isometry transformations to investigate their similarity with every range block. The application of Fast Fourier Transform in similarity measure calculation speeds up the encoding process. The proposed eight isometry transformations of a domain block exploit the properties of Discrete Fourier Transform to minimize the number of Fast Fourier Transform calculations. The experimental studies on the proposed algorithm demonstrate that the encoding time is reduced drastically with average speedup factor of 538 with respect to the classical full search method with comparable values of Peak Signal To Noise Ratio.
分形编码是一种新的图像压缩技术。虽然该技术有许多吸引人的特点,但由于编码时间长,不适合实时应用。本文提出了一种有效的分形编码算法,该算法对整个图像进行分形编码,而不是对重叠的区域块进行分形编码。与传统的全搜索方法相比,该算法大大缩短了编码时间。编码时间的减少主要是由于使用了改进的基于互相关的相似性度量。实现的算法采用穷举搜索域块及其等距变换来研究域块与每个距离块的相似度。快速傅里叶变换在相似测度计算中的应用加快了编码过程。提出的域块的8个等距变换利用离散傅里叶变换的性质,以尽量减少快速傅里叶变换的计算次数。实验研究表明,与峰值信噪比相当的经典全搜索方法相比,该算法的编码时间大大缩短,平均加速系数为538。
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引用次数: 8
期刊
GSTF international journal on computing
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