46,205 research outputs found

    New Valences for the Financial-Accounting System

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    A new approach to a company’s information systems is needed, if we take into consideration the globalization process of the economy, the intensified competition, the impose of new qualitative demands or the adjustment to new accounting standards. The former accountant is about to be replaced by the „professional employee with accounting information”, who knows very well how to use the domain technologies. The need for clear, correct and significant information has become a must for all the departments of a company and, definitely, this is especially the case for the financial-accounting department, i.e. when we have to come up with solutions for the profitability of the company.financial accounting system, intelligent technology, multiagent systems, mining technology

    JWalk: a tool for lazy, systematic testing of java classes by design introspection and user interaction

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    Popular software testing tools, such as JUnit, allow frequent retesting of modified code; yet the manually created test scripts are often seriously incomplete. A unit-testing tool called JWalk has therefore been developed to address the need for systematic unit testing within the context of agile methods. The tool operates directly on the compiled code for Java classes and uses a new lazy method for inducing the changing design of a class on the fly. This is achieved partly through introspection, using Java’s reflection capability, and partly through interaction with the user, constructing and saving test oracles on the fly. Predictive rules reduce the number of oracle values that must be confirmed by the tester. Without human intervention, JWalk performs bounded exhaustive exploration of the class’s method protocols and may be directed to explore the space of algebraic constructions, or the intended design state-space of the tested class. With some human interaction, JWalk performs up to the equivalent of fully automated state-based testing, from a specification that was acquired incrementally

    Addendum to Informatics for Health 2017: Advancing both science and practice

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    This article presents presentation and poster abstracts that were mistakenly omitted from the original publication

    Regulation of transmission expansion in Argentina Part II: Developments since the Fourth Line

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    Argentina’s 1992 transmission expansion policy was subsequently modified by, for example, including provision for transmission companies and proposing quality and substation expansions. There have been several such expansions, and no lack of investment in quality and reliability of supply. In 1999, reflecting a decision to give greater weight to political considerations, a Federal Transmission Plan was introduced to build lines designated by the federal and provincial governments. The original reform led to less investment in major transmission lines but more intensive use of existing lines. Competition to construct expansions developed, leading to lower construction costs. Thus the Argentine transmission expansion mechanism was a considerable success in terms of meeting the requirements of users efficiently. This experience suggests that involving users in the regulation of monopoly networks is feasible, and the scope for it may be greater than generally appreciated. However, the reconciliation of economic and political considerations needs further consideration.Argentina, electricity, transmission, regulation

    Entropy-based feature extraction for electromagnetic discharges classification in high-voltage power generation

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    This work exploits four entropy measures known as Sample, Permutation, Weighted Permutation, and Dispersion Entropy to extract relevant information from Electromagnetic Interference (EMI) discharge signals that are useful in fault diagnosis of High-Voltage (HV) equipment. Multi-class classification algorithms are used to classify or distinguish between various discharge sources such as Partial Discharges (PD), Exciter, Arcing, micro Sparking and Random Noise. The signals were measured and recorded on different sites followed by EMI expert’s data analysis in order to identify and label the discharge source type contained within the signal. The classification was performed both within each site and across all sites. The system performs well for both cases with extremely high classification accuracy within site. This work demonstrates the ability to extract relevant entropy-based features from EMI discharge sources from time-resolved signals requiring minimal computation making the system ideal for a potential application to online condition monitoring based on EMI
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