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Trust quantification is an important issue of dynamic trust management. Trust is fuzzy and dynamic, if exact math tools are used to calculate trust, there is information missing in the calculation. In this paper, we use fuzzy comprehensive evaluation method to quantify trust and propose a trust quantification algorithm. Simulation results show that the trust quantification algorithm can effectively...
Accurate land use/cover (LUC) classification data derived from remotely sensed data are very important for land use planning and environment sustainable development. Traditionally, statistical classifiers are often used to generate these data, but these classifiers rely on assumptions that may limit their utilities for many datasets. Conversely, artificial neural network (ANN) and decision tree (DT)...
An important aspect of any automatic planner is the language in which the user expresses problem instances. A rich language is an advantage for the user, whereas a simple language is an advantage for the programmer who must write a program to solve all planning problems expressible in the language. Considering the temporal planning language PDDL 2.1 as a low-level language, we show how to automatically...
Spectrum sensing is one of key enabling techniques to advanced radio technologies such as cognitive radios and ALOHA. This paper presents a novel non-cooperative spectrum sensing approach that can achieve a good trade-off between latency, reliability and computational complexity. Our major idea is to exploit the first-order cyclostationarity of the primary user's signal to reduce the noise-uncertainty...
In this paper the linear beamforming design of a point to point relay system having multiple antennas at the transmitter, the relay and the receive side is addressed. The Channel State Information (CSI) is assumed to be perfectly known for the link from the source to the relay station. However, it is assumed that CSI from the relay station to the destination is imperfectly known. This uncertainty...
Spectrum sensing is a critical step in cognitive radio to learn the radio environment. Despite its long history, in recent years spectrum sensing has attracted substantial interests from the cognitive radio community as well as other areas. Although there have been many methods, most of them need some idealistic assumptions and are hardly applicable in real cognitive radio practice. In this paper,...
Allpass transformed filter banks provide a nonuniform frequency resolution and can be used in mobile speech processing systems, e.g., cellular phones or digital hearing aids. The nominal design of such an allpass transformed analysis-synthesis filter bank (AS FB) with near perfect reconstruction (NPR) is achieved by numerical optimization of finite-impulse response (FIR) equalizers in each subchannel...
We propose a scheme for maintaining the requested SIR of each user under uncertainty of system parameters in the power control of interference limited wireless networks. In doing so, we keep the outage probability of users below their predefined threshold with minimal power consumption. To reduce the complexity, we apply the notion of chance constraint robust optimization to the outage probability...
The rising energy independence and environmental concerns are key drivers in the growing popularity of plug-in hybrid cars (PHEVs). Studies indicate that for 90% of the Americans who use their cars to get to work every day, the daily commute distance is less than 50 km - or 30 miles - and, on the average, the commuter car remains parked is about 22 hours per day. All the PHEVs have in common the batteries,...
In this paper, we propose to analyse the practical task of dealing with uncertainty for security management by Transmission System Operators in the context of day-ahead planning and intraday operation. We propose a general but very abstract formalization of this task in the form of a three-stage decision making problem under uncertainties in the min-max framework, where the three stages of decision...
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...
The method of representing the uncertain information in the ordinary XML document is investigated, so the probabilistic XML document framework is established to represent uncertain information and the probabilistic DTD document as the schema is drawn out. The definition of probabilistic XML document tree is given that atom probabilistic XML element is the basic information unit. The node probability...
In this expository paper we discuss some applications of paraconsistent annotated logics. They have the capability of manipulating concepts like fuzziness, inconsistency, and paracompleteness in a non-trivial manner. Such systems are new and they were discovered recently at the end of last century.
Object tracking is a challenging problem due to the presence of noise, occlusion, clutter and dynamic change in the scene other than the motion of object of interest. A variety of tracking algorithms has been proposed and implemented to overcome these difficulties, but there are still some problems need to be covered. This paper proposed an algorithm to track the moving objects employing a color-based...
As an important nature of subjective trust, uncertainty should be preserved and exhibited in trust definition, representation and inference. In view of the problems in existing mechanisms based on random mathematics and fuzzy set theory, this paper designs a trust inference mechanism based on cloud model theory. We define trust and trust level in form of cloud. Then we propose new measure for formalized...
Adaptive stepping sliding mode control strategy for the overload control of anti-ship missiles using Lyapunov's stability theory is proposed. In the first few steps, we assume there exists a virtual actuator, the virtual actuator concept can make the desired value can be easily traced, in the last step, a sliding mode controller is applied to guarantee the robustness of the system. At the same time,...
Developing highly interpretable commonly presents significant challenges to decision support system. In previous research work, partial information had provided poor result in the problem of learning classifiers. The behavior of some learning algorithm may only be explored by uncertainty analyses. We propose a novel information extraction by utilizing fuzzy measure in active learning to focus on the...
The uncertainties of grid nodes security are main hurdle to make the job scheduling secure, reliable and fault-tolerant. The fixed fault-tolerant strategy in jobs scheduling may utilize excessive resources. In this paper, the job scheduling decides which kinds of fault-tolerance strategy will be applied to each individual job for more reliable computation and shorter makespan. And we discuss the fuzziness...
As communication and network technology has advanced into all areas of human life, large-scale failures of such infrastructures can have a drastic impact on its users, the economy and society in general. Significant attention has been paid to study and improve the dependability of such systems, intending to augment their resilience against challenges. This paper presents a computational approach for...
The paper focuses on emergent systems, i.e., complex systems for which it is impossible to foresee the overall system's behavior from the composition/interaction of the single functions/services performed by its components. The lack of knowledge on some aspects of the system, which is the source of the emergence, is an unavoidable aspect that should be explicitly taken into account in all the phases...
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