94,754 research outputs found
Measuring and analyzing German and Spanish customer satisfaction of using the iPhone 4S Mobile Cloud service
Full text linkThis paper presents the customer satisfaction analysis for measuring popularity in the Mobile Cloud, which is an emerging area in the Cloud and Big Data Computing. Organizational Sustainability Modeling (OSM) is the proposed method used in this research. The twelve-month of German and Spanish consumer data are used for the analysis to investigate the return and risk status associated with the ratings of customer satisfaction in the iPhone 4S Mobile Cloud services. Results show that there is a decline in the satisfaction ratings in Germany and Spain due to economic downturn and competitions in the market, which support our hypothesis. Key outputs have been explained and they confirm that all analysis and interpretations fulfill the criteria for OSM. The use of statistical and visualization method proposed by OSM can expose unexploited data and allows the stakeholders to understand the status of return and risk of their Cloud strategies easier than the use of other data analysis
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Experiments and Investigations for the Personal High Performance Computing (PHPC) built on top of the 64-bit processing and clustering systems
Full text linkThe motivation and objective for this paper is to demonstrate “Personal High Performance Computing (PHPC)”, which requires only a smaller number of computers, resources and space in the secure wireless home networking (WHN) environment. The PHPC is based on a cluster of the 64-bit AMD machines, which can achieve the following: (a) reducing CPU time by 10% - 50% for a single task; (b) minimizing the memory and hard-disk workload by 50%; (c) running 64-bit software applications successfully; (d) receiving up to 60% better performance in multi-tasking performance; (e) executing fast, robust and accurate calculations, visualization and server-side applications on 32-bit and 64-bit Windows and Linux; (f) ensuring a secure working environment (g) storing a massive amount of data (12 TB, or 12,000 GB) for database and server applications; and (h) successfully integrating with other emerging technologies such as LAN/wireless networks and entertainment systems
Web Service Testing and Usability for Mobile Learning
No full textBased on the summary of recent renowned publications, Mobile Learning (ML) has become an emerging technology, as well as a new technique that can enhance the quality of learning. Due to the increasing importance of ML, the investigation of such impacts on the e-Science community is amongst the hot topics, which also relate to part of these research areas: Grid Infrastructure, Wireless Communication, Virtual Research Organization and Semantic Web. The above examples contribute to the demonstrations of how Mobile Learning can be applied into e-Science applications, including usability. However, there are few papers addressing testing and quality engineering issues – the core component for software engineering. Therefore, the major purpose of this paper is to present how Web Service Testing for Mobile Learning can be carried out, in addition to re-investigating the influences of the usability issue with both quantitative and qualitative research methods. Out of many mobile technologies available, the Pocket PC and Tablet PC have been chosen as the equipment; and the OMII Web Service, the 64-bit .NET e-portal and the GPS-PDA are the software tools to be used for Web Service testing
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
An Introductory Approach to Risk Visualization as a Service
Full text linkThis paper introduces the Risk Visualization as a Service (RVaaS) and presents the motivation, rationale, methodology, Cloud APIs used, operations and examples of using RVaaS. Risks can be calculated within seconds and presented in the form of Visualization to ensure that unexploited areas are ex-posed. RVaaS operates in two phases. The first phase includes the risk modeling in Black Scholes Model (BSM), creating 3D Visualization and Analysis. The second phase consists of calculating key derivatives such as Delta and Theta for financial modeling. Risks presented in visualization allow the potential investors and stakeholders to keep track of the status of risk with regard to time, prices and volatility. Our approach can improve accuracy and performance. Results in experiments show that RVaaS can perform up to 500,000 simulations and complete all simulations within 24 seconds for time steps of up to 50. We also introduce financial stock market analysis (FSMA) that can fully blend with RVaaS and demonstrate two examples that can help investors make better decision based on the pricing and market volatility information. RVaaS provides a structured way to deploy low cost, high quality risk assessment and support real-time calculations
Control and Filtering for Discrete Linear Repetitive Processes with H infty and ell 2--ell infty Performance
No full textRepetitive processes are characterized by a series of sweeps, termed passes, through a set of dynamics defined over a finite duration known as the pass length. On each pass an output, termed the pass profile, is produced which acts as a forcing function on, and hence contributes to, the dynamics of the next pass profile. This can lead to oscillations which increase in amplitude in the pass to pass direction and cannot be controlled by standard control laws. Here we give new results on the design of physically based control laws for the sub-class of so-called discrete linear repetitive processes which arise in applications areas such as iterative learning control. The main contribution is to show how control law design can be undertaken within the framework of a general robust filtering problem with guaranteed levels of performance. In particular, we develop algorithms for the design of an H? and dynamic output feedback controller and filter which guarantees that the resulting controlled (filtering error) process, respectively, is stable along the pass and has prescribed disturbance attenuation performance as measured by and – norms
The role and effectiveness of e-learning: key issues in an industrial context
No full textThis paper identifies the current role and effectiveness of e-learning and its key issues in an industrial context. The first objective is to identify the role of e-learning, particularly in staff training and executive education, where e-learning (online, computer-based or videoconferencing learning) has made significant impacts and contributions to several organisations such as the Royal Bank of Scotland, Cisco and Cap Gemini Earnst Young. With e-learning, staff training and executive education provides more benefits and better efficiency than traditional means. The second objective of this research is to understand the effectiveness of e-learning. This can be classified into two key issues: (1) methods of e-learning implementations; and (2) factors influencing effective and ineffective e-learning implementations. One learning point from (1) is that centralized e-learning implementations may prevail for big organizations. How-ever, more organizations adopt decentralized e-learning implementations due to various reasons, which will be discussed in this paper. From the research results, a proposed way is to retain the decentralized way. The second learning point is about interactive learning (IL), the combination of both e-learning and face-to-face learning. IL has been making contributions to several organizations, including the increase in motivation, learning interests and also efficiency. The popular issues about IL are (a) how to minimize the disadvantages of IL and (b) the degree of interactivity for maximizing learning efficiency. One learning point from (2) is to analyze the factors influencing effective and ineffective implementations, which reflect the different focuses between industrialists and academics. In terms of effective e-learning implementations, factors identified by both groups can map to particular cases in industry. In contrast, factors causing ineffective implementations rely more on primary source data. In order to find out these factors and analyze the rationale behind, case studies and interviews were used as research methodology that matched the objective of the research
- …
