The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
As urban road intersections are prone to traffic congestion and traffic accidents, monitoring the crossing of vehicles and predicting the state is needed to reduce traffic congestion, regulate driver behavior and prevent accidents. Background subtraction and mean shift tracking are used to track vehicles. The whole monitoring process is as following. Firstly, secondary selected strategy is used to...
For the vague nature of trust and reputation, the traditional reputation modelings used the classic probability or fuzzy sets to describe and measure the degree of trust. The theoretic foundation of these models is subject logic or fuzzy logic. But in some practical applications, the usage of simple probability model led trust's subjectivity and uncertainty to randomness. For the fuzzy logic, the...
Urban pipelines carrying natural gas develop rapidly and they have spread over every corner of cities. The pipeline medium of methane is flammable and explosive, its release may bring harm to people and property in the vicinity. Risk analysis for pipelines is very important to reduce such losses. In this paper, risk evaluation technologies and methods of qualitative, semi-quantitative and quantitative...
The growing environmental concerns and increasing electricity prices have led to wider implementation of demand-side activities and created a new class of consumers, called demand response resources (DRRs). The DRRs actively participate in the electricity markets as buyers of electricity and sellers of load curtailment services. The demand profile modifications resulting from the DRR curtailments...
As a fundamental and critical component of music information retrieval (MIR) systems, automatically classifying music by genre is a challenging problem. The traditional approaches which solely depending on low-level audio features may not be able to obtain satisfactory results. In recent years, the social tags have emerged as an important way to provide information about resources on the web. So,...
PC-SVM is a new developed support vector machine classifier with probabilistic constrains which presence of samples probability in each class is determined based on a distribution function. The presence of noise causes incorrect calculation of support vectors thereupon margin can not be maximized. In the Pc-SVM, constraints boundaries and constraints occurrence have probability density functions which...
The network information system based on multi-level security strategy (MLSS) is adopted by many organizations, as it reflects features of mandatory access control. Meanwhile, the network has also attracted a growing number of Trojan horses' attacks. Considering the relationship between defend ability and security levels, the paper discusses that the Trojan horses' attacks have a dependency on data...
In this paper, we present a novel multiple-model probability hypothesis density (MMPHD) filter for multiple maneuvering targets tracking. In the proposed MMPHD filter, the multiple models are composed of two models, namely a constant velocity (CV) model and a ??current?? statistical (CS) model, and the PHD is approximated by a set of weighted random samples propagated over time using sequential Monte...
This paper presents an approach by considering fuzzy parameters in simulation model to obtain fuzzy throughputs in manufacturing systems. The basic subject of simulation is the probabilistic approach to describing real world uncertainty. However, in many cases we do not have information that would be precise enough to build the corresponding probabilistic model or there are some human factors that...
The device failure must be taken into account in the nano-scale design. This paper presents the probabilistic logic model to model the probabilistic behavior of a nanoscale adder. The analysis shows that the device probability distribution highly depends on the system structures and other performance parameters.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.