Brazil is one of the developing countries comprise the acronym BRICS, which has a high potential to represent the production and consumption accounts for 50% of global GDP. Distribution and chains fashion chains are dynamic and show good numbers of growth in Brazil. The distribution of products in Brazilian territory needs complex studies because much expensive this job, for its continental dimensions. The solutions are not unique, and the decisions needs to be made based on effective means to generate good results. This paper presents a case study of the Spanish fashion company that intends to distribute its products in Brazil. The study is done using simulations, in which possibilities are presented for the lowest cost in relation to best delivery time of the product, depending how the necessity of the company is at the moment of the exportation, from the air and road modes. Analyze there are several possible combinations of results depending on the business need for the moment. With the simulation tool is possible to construct various scenarios and pick from them. In this study, the conclusion is adopted from logistics decisions based on costs and simulation tools can be successful team when it comes to distribution of fashion with the management being treated as a supply chain.

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Edge detection is the most important step in image segmentation and analysis. Statistical distributions are commonly used in this field. In this paper we present a comparative analysis between Beta, Log-Normal and Gamma distributions in terms of accuracy, complexity and computational performance. It was found that Log-Normal was best in terms of accuracy however more complex. Beta and gamma distributions were similar in both accuracy and performance for they both deal with asymmetric data. Anew Convolution from these distribution which benefits from there advantages and avoids there shortcomings is proposed and tested.

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This paper discusses the use of tags for enriching business processes with various details obtained at design- and run-time. In ad- dition to anchoring tags to tasks that constitute a business process, tags are connected to each other through specific data dependencies that in fact, already connect tasks to each other. These dependencies include prerequisite, parallel prerequisite, and parallel. Types of tags proposed during enrichment are social, resource, location, and tempo- ral. Business process engineers and end-users (executors) fill out the tags with the necessary details and ensure that these details are for- warded from one tag to another, when appropriate. The objective is to help reduce time and efforts put into completing the remaining tags. At design time relations between tags include unidirectional-transfer-of- final-details, unidirectional-transfer-of-partial-details, and bidirectional- transfer-of-partial-details. At run-time relations between tags include strong-trigger, weak-trigger, and meet-in-the-middle trigger. A running scenario along with a demo system are also discussed in this paper. Keywords. Business process, data dependency, tag, task.

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A major share of software project investment is assigned to activities concerning the detection and removal of defects. Software project managers tend to apply the most efficient QA techniques to assure low defect density within their software project. However, the criteria of selecting a QA technique based on its efficiency is not always safe and cost effective. Software defects vary in their severity in terms of the magnitude of their negative impact on both the testing process and the whole project. Some defects would make intense implications if it passed to the operational use as it belongs to significant functional components of the software. The consideration of potential risk with some defects types should be taken into account when selecting a QA technique to avoid future failure. In this paper, we build on previous work of software quality optimization by proposing a model whereby QA decisions are normalized by the risk associated with their defects detection and removal activities.

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Designing of reliable and cost-effective industrial wind power plant is a prerequisite for the effective use of wind power as an alternative resource. The design of a wind power plant includes the determination of type, number and layout of wind turbines for given site area. Preliminary assessment of design project will decrease the possibility of costly errors at practical realization of the project.
A Web-based tool for preliminary assessment of wind power plant design project is described. An original algorithm with two branches ("iterative" and "intelligent") is at the core of this application. The proposed tool can be used to simulate and evaluate different wind power plant design projects by preliminary estimation of energy output and associated costs. The applicability of the described tool is demonstrated by real data for wind turbines and parameters of the wind site.

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