Current Issue : January - March Volume : 2016 Issue Number : 1 Articles : 5 Articles
The purpose of developing e-Government is to make public administrations more efficient and transparent and to allow citizens\nto more comfortably and effectively access information. Such benefits are even more important to people with a physical disability,\nallowing them to reduce waiting times in procedures and travel. However, it is not in widespread use among this group, as they not\nonly harbor the same fears as other citizens, but alsomust cope with the barriers inherent to their disability. This research proposes\na solution to help persons with disabilities access e-Government services. This work, in cooperation with the Spanish Federation\nof Spinal-Cord Injury Victims and the Severely Disabled, includes the development of a portal specially oriented towards people\nwith disabilities to help them locate and access services offered by Spanish administrations. Use of the portal relies on digital\nauthentication of users based on X.509, which are found in identity cards of Spanish citizens. However, an analysis of their use\nreveals that this feature constitutes a significant barrier to accessibility. This paper proposes a more accessible solution using a USB\ncryptographic token that can conceal from users all complexity entailed in access to certificate-based applications, while assuring\nthe required security....
In modern motoring, many factors are considered to realize driving convenience and achieving\nsafety at a reasonable cost. A drive towards effective management of traffic and parking space allocation\nin urban centres using intelligent software applications is currently being developed and\ndeployed as GPS enabled service to consumers in automobiles or smartphone applications for\nconvenience, safety and economic benefits. Building a fuzzy logic inference for such applications\nmay have numerous approaches such as algorithms in Pascal or C-languages and of course using\nan effective fuzzy logic toolbox. Referring to a case report based on IrisNet project analysis, in this\npaper Matlab fuzzy logic toolbox is used in developing an inference for managing traffic flow and\nparking allocation with generalized feature that is open for modification. Being that modifications\ncan be done within any or all among the tool�s universe of discourse, increment in the number of\nmembership functions and changing input and output variables etc, the work here is limited\nwithin changes at input and output variables and bases of universe of discourse. The process implications\nis shown as plotted by the toolbox in surface and rule views, implying that the inference\nis flexibly open for modifications to suit area of application within reasonable time frame no matter\nhow complex. The travel time to the parking space being an output variable in the current inference\nis recommended to be substituted with distance to parking space as the former is believed\nto affect driving habits among motorist, whom may require the inference to as well cover other\nimportant locations such as nearest or cheapest gas station, hotels, hospitals etc....
As computation schemes evolve and many new tools become available to programmers to enhance the performance of their\napplications, many programmers started to look towards highly parallel platforms such as Graphical Processing Unit (GPU).\nOffloading computations that can take advantage of the architecture of the GPU is a technique that has proven fruitful in\nrecent years. This technology enhances the speed and responsiveness of applications. Also, as a side effect, it reduces the power\nrequirements for those applications and therefore extends portable devices battery life and helps computing clusters to run more\npower efficiently. Many performance analysis tools such as LTTng, strace and SystemTap already allow Central Processing Unit\n(CPU) tracing and help programmers to use CPU resources more efficiently. On the GPU side, different tools such as Nvidia�s\nNsight, AMD�s CodeXL, and third party TAU and VampirTrace allow tracing Application Programming Interface (API) calls and\nOpenCL kernel execution. These tools are useful but are completely separate, and none of them allow a unified CPU-GPU tracing\nexperience. We propose an extension to the existing scalable and highly efficient LTTng tracing platform to allow unified tracing\nof GPU along with CPU�s full tracing capabilities....
Efficient allocation of human resources to the development tasks comprising a software project is a key challenge in software project\nmanagement. To address this critical issue, a systematic human resource evaluation and selection approach can be proven helpful. In\nthis paper, a fuzzy linguistic approach is introduced to evaluate the suitability of candidate human resources (software developers)\nconsidering their technical skills (i.e., provided skills) and the technical skills required to perform a software development task (i.e.,\ntask-related skills). The proposed approach is based on qualitative evaluations which are derived in the form of fuzzy linguistic\n2-tuples from a group of decision makers (project managers). The approach applies a group/similarity degree-based aggregation\ntechnique to obtain an objective aggregation of the ratings of task-related skills and provided skills. To further analyse the suitability\nof each candidate developer, possible skill relationships are considered, which reflect the contribution of provided skills to the\ncapability of learning other skills. The applicability of the approach is demonstrated and discussed through an exemplar case study\nscenario....
Technical debt (TD) is an emergent area that has stimulated academic concern.Managers must have information about debt in order\nto balance time-to-market advantages and issues of TD. In addition, managers must have information about TD to plan payments.\nDevelopment tasks such as designing, coding, and testing generate different sorts of TD, each one with specific information.\nMoreover, literature review pointed out a gap in identifying and accurately cataloging technical debt. It is possible to find tools\nthat can identify technical debt, but there is not a described solution that supports cataloging all types of debt. This paper presents\nan approach to create an integrated catalog of technical debts from different software development tasks. The approach allows\ntabulating and managing TD properties in order to support managers in the decision process. It also allows managers to track\nTD.The approach is implemented by TD-Tracker tool, which can integrate different TD identification tools and import identified\ndebts. We present integrations between TD-Tracker and two external tools, used to identify potential technical debts. As part of\nthe approach, we describe how to map the relationship between TD-Tracker and the external tools. We also show how to manage\nexternal information within TD-Tracker....
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