Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
In this paper, Multi-Microgrids (MMG) are considered as future smart distribution grids, in which small scale energy resources (SSER) are main power generation units with small scales. Optimal operation of microgrids in defined intervals is carried out to achieve economic conditions in distribution systems. The defined operating problem is optimized using a heuristic algorithm considering uncertainties...
The paper aims to present an improved methodology of safety assessment with system simulation. In this paper, the Monte Carlo simulation and uncertainty analysis will be applied to the research of FMECA which is the basis of safety assessment. The improved methodology will overcome the shortages of traditional method. At the same time, the idea of the method will provide a comprehensive safety analysis...
This work aims to scrutinise a proprietary dataset containing major accidents occurred in high-technology facilities, in order to disclose relevant features and indicate a path to the recognition of the genesis of human errors. The application of a tailored Hierarchical Agglomerative Clustering method will provide means to understand data and identify key similarities among accidents and significant...
Offshore pipelines are used to transport oil and gas in different areas of the world. The economic importance of offshore pipelines has increased in recent years with the development of oil and gas transportation systems. Hydrocarbons are transported in the pipelines at high temperature and pressure in order to facilitate the flow of oil and to prevent its “solidification”. However, these high temperatures...
Physical Unclonable Functions (PUFs) can be seen as the fingerprint of a device. PUFs are ideal objects for device authentication due to its uniqueness. In this paper, PUF based authentication is studied from an information theoretical perspective considering compound sources, which models uncertainty in the PUF knowledge and some attack classes. It is shown, that authentication is robust against...
When designing a day-ahead scheduling strategy, virtual power plant (VPP) faces various uncertain factors, including price uncertainty, forecasting error of renewables, load fluctuation, etc. In order to obtain the optimal tradeoff between economy and reliability, this paper presents a chance constrained programming (CCP) approach to the scheduling problem, where reserve requirement is satisfied with...
Uncertain graphs have been widely used to represent graph data with inherent uncertainty in structures. Reliability search is a fundamental problem in uncertain graph analytics. This paper studies a new problem, the top-k reliability search problem on uncertain graphs, that is, finding k vertices v with the highest reliabilities of connections from a source vertex s to v. Note that the existing algorithm...
Uncertainty modeling of renewable Distributed Generations (DGs) has significant impact on optimal design of microgrids. Although the conventional Monte-Carlo (MC) simulation is the most accurate method for the uncertainty modeling it is a time consuming approach. In this paper, a new approach based on MC simulation is proposed for uncertainty modeling. The proposed method has a high precision in spite...
The concepts of Z-number and Z-valuation were introduced by Zadeh in 2011. Z-number is an ordered pair (A, B) while a Z-valuation is an ordered triple (X, A, B) that indicates it is equal to the assignment statement variable X is (A, B). In this paper, with the consideration of thinking uncertainty, the second component B of Z-number towards the first component A of Z-number is regarded as the uncertain...
Every problem that can be described by a set of variables and a set of constraints among those variables can easily be cast as a Constraint Satisfaction Problem (CSP). In spite of its simplicity, the standard CSP has proven unsuited for modeling ill-defined decision problems, especially, under uncertain circumstances. In such situation, uncertainty evokes the need for softness. Moreover, when the...
In spite of the advances in today's technologies, most disasters are hard to predict and prevent. Disaster management to reduce damages and losses is particularly important. Computations to predict the effect of an impending or prevailing disaster, i.e. urgent computing, can support civil protection services to make informed decisions that can improve the efficiency of mitigation activities and reduce...
Many websites presently provide the facility for users to rate items quality based on user opinion. These ratings are used later to produce item reputation scores. The majority of websites apply the mean method to aggregate user ratings. This method is very simple and is not considered as an accurate aggregator. Many methods have been proposed to make aggregators produce more accurate reputation scores...
On-line social networks mostly allow individuals to extend friend requests to all forms of possible connections including those related to official purposes, interests, family relations, friendships, and acquaintances. One requires to mine relevant connections in order to make reliable and meaningful interpretations following network analysis. Most networks lack weight assignments that mark the strength...
Sensors and information sources can produce conflicting evidence for various reasons, including errors and deception. When conflicting evidence is received, some sources produce more accurate evidence than others with regard to the ground truth. The reliability of sources can be expressed by assigning a level of trust to each source. In this situation, multiple fusion strategies can be applied: one...
The overall goal of the research presented in this paper is to design an intelligent system to aid geologists in processing complex rock characteristics for interpreting eruption patterns, and thereby to aid eruption forecasting for volcanic chains and fields. The objective of this paper is to introduce a belief-based partially supervised classification method designed to deal with high uncertainty...
Object detection in modalities such as synthetic aperture sonar (SAS) is affected by the difficulty of acquiring a large number of training samples. If object classes not present in the training dataset are detected during testing, they can be mis-classified as one of the training classes. This increases overall false alarm rate and affects operator reliability and trust in the detection algorithm...
We previously proposed an approach and a framework for high level information fusion that we extended in order to manage uncertain information. The fusion algorithm is graph-based and generic and can be parametrized in order to provide different fusion operations. In this paper, we use uncertain graph-based fusion in order to discover social knowledge from a network of information. We aim at discovering...
Intelligence operations in highly dynamic and constrained networked environments require a prudent strategies to query information sources. We consider the performance of this process based on metrics relating to quality of information: accuracy, timeliness, completeness and reliability. These metrics are identified in military doctrine as requirements that promote mission success. Further, it is...
Interactions between humans and machines are often placed in a multi-layered network involving the multidimensional trust in communication, information, and socio-cognitive layers. In this complex environment, how to filter and fuse heterogeneous data is critical for effective decision making. In this work, we propose an ontology-based framework for information fusion, as a support system for human...
This paper focuses on the supplier selection problem and the subsequent order allocation, extending an approach originally proposed by some of the authors for supplier ranking under uncertainty. The novel method integrates the cross-efficiency Data Envelopment Analysis and the fuzzy set theory to obtain a ranking of suppliers under nondeterministic evaluation criteria. Subsequently, a fuzzy integer...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.