Feature models are the de facto standard for modelling variabilities and commonalities. Concrete models in different domains exist;however, many are in private or sparse repositories or belong to discontinued projects...
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The problem of the rational use of energy resources remains constantly relevant and requires the search for new approaches. One of them is power control. In AC circuits, the authors see the most promising method of ph...
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In the article, a new method of building a forecast model using a fuzzy approach for charter air transportation time series with intra-series multiplicative changes is proposed. The method is based on the use of corre...
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ISBN:
(数字)9798350353099
ISBN:
(纸本)9798350353105
In the article, a new method of building a forecast model using a fuzzy approach for charter air transportation time series with intra-series multiplicative changes is proposed. The method is based on the use of correlation functions in the calculation of forecast values based on statistical indicators of intra-row changes. In regular air transportation, the changes in the time series of statistical indicators are stable. On charter flights, these changes are unstable. This is due to the strong random effects of external factors (a sudden increase in demand for flights, economic changes, etc.) on the formation of charter flights. For this reason, the application of models based on trend changes does not give good enough results when building forecast models for charter flights. Therefore, to solve the problem, we propose to build a forecast model using a fuzzy approach, using the randomness of the intra-series changes of the statistical indicators of this type of air transportation. The researched method was checked based on the actual data of the time series of charter flights, and the results were obtained within acceptable limits.
Process modeling can play a central role in problem-based software development education with regard to qualifying students for the design and implementation of software applications for their specific needs without p...
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Process modeling can play a central role in problem-based software development education with regard to qualifying students for the design and implementation of software applications for their specific needs without putting the focus on the technical part of coding. eXtreme Model Driven Design (XMDD) is a paradigm that focuses on the What (solving problems), rather than on the How (the technical skills of writing code). In this way it renders application design and implementation less daunting, thus accessible and more appealing to people that are either less technically skilled, or simply not interested at all in learning usual programming. In this paper we report on our experiences with the use of the jABC process modeling framework for teaching service-based software development in an XMDD fashion to students of different fields and on different levels of education.
The paper focuses on the role of version redundancy, which increases with the expansion of critical applications and the tightening of their functional safety requirements. International standards governing these requ...
ISBN:
(数字)9781728199573
ISBN:
(纸本)9781728199580
The paper focuses on the role of version redundancy, which increases with the expansion of critical applications and the tightening of their functional safety requirements. International standards governing these requirements have already fixed the importance of version redundancy to counter common cause failures in safety-related systems. The problem of hidden faults inherent in these systems is equally acute, undermining confidence in the fault tolerance of circuit solutions important for functional safety. We suggest that this problem be seen as a growth problem where the system rises to the level of diversification in modes of operation by dividing them into normal and emergency and checkability circuits, but components continue to be stamped at a lower level of replication. Then the solution to the problem is to raise the components to the level of the system by developing their version redundancy. We demonstrate this development for FPGA components with LUT-oriented architecture and offer a method to improve the FPGA-ready project by natural version redundancy of its program code. The method generates a set of program code versions and selects versions that improve the checkability of circuits with respect to constant faults and the trustworthiness of results, respectively, in normal and emergency mode to reduce a set of hidden faults. The method is illustrated by an iterative array multiplier implemented in an FPGA project. Versions are generated, evaluated, and selected using the program developed for this.
This paper describes a part of the development of an adaptive autonomous machine that is able to move in an unknown world extract knowledge out of the perceived data, has the possibility to reason, and finally has the...
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We consider approaches for causal semantics of Petri nets, explicitly representing dependencies between transition occurrences. For one-safe nets or condition/event-systems, the notion of process as defined by Carl Ad...
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This paper describes a part of the development of an adaptive autonomous machine that is able to move in an unknown world extract knowledge out of the perceived data, has the possibility to reason, and finally has the...
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This paper describes a part of the development of an adaptive autonomous machine that is able to move in an unknown world extract knowledge out of the perceived data, has the possibility to reason, and finally has the capability to exchange experiences and knowledge with other agents. The agent is not pre-programmed by its designer but was given simple rules of life, i.e. what is good and what is bad. By evaluating its sensor inputs these rules of life were transformed into a rule based reactive system. Simulations of the system showed that the agent is able to learn by its own experience. By representing the learned knowledge in an appropriate way, the acquired knowledge could be judged on its effectiveness and also this knowledge could be shared with other, less experienced agents.
Within the field of Requirements Engineering (RE), the increasing significance of Explainable Artificial Intelligence (XAI) in aligning AI-supported systems with user needs, societal expectations, and regulatory stand...
Within the field of Requirements Engineering (RE), the increasing significance of Explainable Artificial Intelligence (XAI) in aligning AI-supported systems with user needs, societal expectations, and regulatory standards has garnered recognition. In general, explainability has emerged as an important non-functional requirement that impacts system quality. However, the supposed trade-off between explainability and performance challenges the presumed positive influence of explainability. If meeting the requirement of explainability entails a reduction in system performance, then careful consideration must be given to which of these quality aspects takes precedence and how to compromise between them. In this paper, we critically examine the alleged trade-off. We argue that it is best approached in a nuanced way that incorporates resource availability, domain characteristics, and considerations of risk. By providing a foundation for future research and best practices, this work aims to advance the field of RE for AI.
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