Introduction of new standards that impose the use of labels and identification by radio frequency in supply management area has promoted a necessity to research alternatives to solve this question. The different solut...
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ISBN:
(纸本)1601320914
Introduction of new standards that impose the use of labels and identification by radio frequency in supply management area has promoted a necessity to research alternatives to solve this question. The different solutions proposed from the software point of view to incorporate the RFID ubiquitous information have been characterized by two extreme positions: of a side the solutions ad-hoc for every specific system, and by another one the solutions based on software packages that give generic support to the established standards. In this article we present our development: DEPCAS (Data EPC Acquisition System) based in the architecture for control systems (SCADAs) applied to the collection of RFID information. An application of DEPCAS is the resolution of heterogeneous situations of items tracking like for example, the luggage tracking, the sport events with massive participation management, the track of goods or merchandising, etc.
This paper investigates two-stage offshoring as experienced by the Irish sites of two large global companies, headquartered in the United States, with significant software development operations. As part of these comp...
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This paper investigates two-stage offshoring as experienced by the Irish sites of two large global companies, headquartered in the United States, with significant software development operations. As part of these companies, the Irish sites act as a bridge in their offshoring arrangements: While the U.S. sites offshore work to Ireland, the Irish sites offshore work further to India and, hence, have experience of being both customer and vendor in two-stage offshore sourcing relationships. Using a framework derived from relational exchange theory (RET), we conducted multiple case study research to investigate and develop an initial theoretical model of the implementation of this two-stage offshoring bridge model. Our study shows that while both companies act as bridges in two-stage offshoring arrangements, their approaches differ in relation to (1) team integration, (2) organizational level implementation, and (3) site hierarchy. Although, there are opportunities afforded by the bridge model at present, the extent to which these opportunities will be viable into the future is open to question. As revealed in our study, temporal location seems to favor a bridge location such as Ireland, certainly with United States-Asian partners. However, location alone will not be enough to maintain position in future two-stage offshoring arrangements. Furthermore, our research supports the view that offshoring tends to progress through a staged sequence of progressively lower cost destinations. Such a development suggests that two-stage offshoring, as described in this paper, will eventually become what we would term multistage offshoring.
The present work extends a previously developed continuous integration system to support platform dependent builds and to reduce turnaround time by incorporating distributed computing capabilities. The two objectives ...
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Visual comprehension is the characteristic that deals with how efficiently and effectively users are able to grasp the underlying design intent along with the interactions to explore the visually represented informati...
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It is becoming increasingly important to be able to adapt an application's behavior at run time in response to changing requirements and environmental conditions. Adaptive programs are typically difficult to speci...
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This paper investigates the applicability of Gaussian Processes (GP) classification for recognition of articulated and deformable human motions from image sequences. Using Tensor Subspace Analysis (TSA), space-time hu...
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Decision tree classification is one of the most practical and effective methods which is used in inductive learning. Many different approaches, which are usually used for decision making and prediction, have been inve...
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ISBN:
(纸本)9781424429141
Decision tree classification is one of the most practical and effective methods which is used in inductive learning. Many different approaches, which are usually used for decision making and prediction, have been invented to construct decision tree classifiers. These approaches try to optimize parameters such as accuracy, speed of classification, size of constructed trees, learning speed, and the amount of used memory. There is a trade off between these parameters. That is to say that optimization of one may cause obstruction in the other, hence all existing approaches try to establish equilibrium. In this study, considering the effect of the whole data set on class assigning of any data, we propose a new approach to construct not perfectly accurate, but less complex trees in a short time, using small amount of memory. To achieve this purpose, a multi-step process has been used. We trace the training data set twice in any step, from the beginning to the end and vice versa, to extract the class pattern for attribute selection. Using the selected attribute, we make new branches in the tree. After making branches, the selected attribute and some records of training data set are deleted at the end of any step. This process continues alternatively in several steps for remaining data and attributes until the tree is completely constructed. In order to have an optimized tree the parameters which we use in this algorithm are optimized using genetic algorithms. In order to compare this new approach with previous ones we used some known data sets which have been used in different researches. This approach has been compared with others based on the classification accuracy and also the decision tree size. Experimental results show that it is efficient to use this approach particularly in cases of massive data sets, memory restrictions or short learning time.
A number of factors and elements influence the introduction and long-term use of Information systems (IS) in organisations. Studies in long-term technology use indicate that influences that support users' decision...
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Recent advances in microarray technology allow scientists to measure expression levels of thousands of genes simultaneously in human tissue samples. This technology has been increasingly used in cancer research becaus...
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This paper introduces a combination of models and proofs for optimal power management via Dynamic Frequency Scaling and Dynamic Voltage Scaling. The approach is suitable for systems on a chip or microcontrollers where...
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