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Personality tests are most commonly objective type, where the users rate their behaviour. Instead of providing a single forced choice, they can be provided with more options. A person may not be in general capable to judge his/her behaviour very precisely and categorize it into a single category. Since it is self rating there is a lot of uncertain and indeterminate feelings involved. The results of...
Based on Fuzzy Theory, this paper proposes an exposure path algorithm for a point and for a path in sensor networks. The fuzzy information exposure path of a point is defined as the function of the distance between sensors and objects. Within a fixed distance, the less the distance is, the higher the exposure. The fuzzy information exposure for a path is the average fuzzy information exposure of all...
In this paper, an observer-based fault detection approach for a class of nonlinear systems is presented, which can be modeled by Takagi-Sugeno (TS) fuzzy models. We propose a sliding mode fuzzy observer that deals with bounded uncertainties in the plant and allows fault estimation based on an equivalent output error injection approach. Furthermore an adaption scheme based on pattern recognition algorithms...
Autonomous navigation in cross-country environments presents many new challenges including obstacle perception for Unmanned Ground Vehicle. This paper proposes new method that is suitable for distributing Basic Probability Assignment (BPA), based on which D-S theory of evidence is employed to integrate sensors information and recognize the obstacle. Firstly, select the experiment formula, then by...
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.
This paper deals with the filtering problem for discrete-time fuzzy stochastic systems with sensor nonlinearities. There exist time-varying parameter uncertainties and random noise depending on state and external-disturbance. The characteristic of nonlinear sensor is handled by a decomposition method. By means of the parallel distributed compensation technique, the design method of the robust H_ filter...
In many applications data values are inherently uncertain. This includes moving-objects, sensors and biological databases here has been recent interest in the development of database management systems that can handle uncertain data. Some proposals for such systems include attribute values that are uncertain. In particular, an attribute value can be modeled as a range of possible values, associated...
As the first step in the basic cognitive cycle, spectrum sensing is a vital part of cognitive radio to become reliant and swift. And due to excellent detection performance, cooperative spectrum sensing has been applied more and more frequently. However, in cooperative spectrum sensing, the detection results of the secondary users (SUs) have a great degree of uncertainty. In this paper, in order to...
In the whole working cycle of cognitive radio (CR), the primary job is to sense wireless communication environment of secondary users (SUs), therefore, spectrum sensing is the foundation and prerequisite for the application of CR. In order to get excellent detection performance, cooperative spectrum sensing has been applied widely. However, in cooperative spectrum sensing process, the detection results...
In this paper, we investigate the problem of agent-based centralized fuzzy Kalman filters observing an uncertain physical process with parametric uncertainties. An agent-based sensor network is a distributed system which consists of sensors with limited computational capabilities. In our agent-based sensor network we consider sensor agents and a moderator agent. Any of these sensor agents have limited...
This paper investigates the use of fuzzy logic as a tool to fuse sensed and communicated data from multiple pursuers in a pursuit problem, to improve the individual pursuer's target tracking. An intuitive approach enables the development of a fuzzy inference system (FIS) to fuse pursuers' sensed and communicated information. To show that the FIS aids the pursuers in a pursuit, a simulation models...
This paper presents a novel approach to employing the fuzzy fusion to fault detection and localization for parts of electronic embedded systems. Elaborated method considers the characteristic of diagnostic object to establish system structure of fuzzy fusion diagnosis, realize the feature level data fusion algorithm based on fuzzy integral, establish the fuzzy phenomenon subset and subjection degree...
This paper presents a method of multi-sensor data fusion based on neuron network and reasoning (Dempster-Shafer evidence reasoning). The method can use D-Spsilas evidence to deal with the inaccuracy and fuzzy information. And also it can give full play to self-study of neural net, self-adapting and fault tolerant ability. In this way it has doughty robustness to uncertain information and improve the...
Aiming at limitations of the current fault diagnosis of the software-intensive equipment (SIE), this paper presents a method of fault diagnosis for software-intensive equipment based on information fusion technology. The multi-resource fusion diagnosis structure and the fusion arithmetic are detailed in this paper. The method establishes system structure of fault diagnosis, realizes the feature level...
This paper presents a method of integration and implementation of transmitting video and audio data from multiple Internet protocol (IP) surveillance cameras in a wireless sensor network to a centralized management unit (central node) using real time streaming protocol (RTSP). The wireless network is based on ldquostarrdquo topology by using the IEEE 802.11 series of standards in wireless local area...
In an assistive environment (AE), where dependant users are living together, predicting future user activity is a challenging task and in the same time useful to anticipate critical situation and provide on time assistance. The present paper analyzes prerequisites for user-centred prediction of future activities and presents an algorithm for autonomous context aware user activity prediction, based...
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