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The structural feature extraction from regular-shaped rigid objects is continuously studied. Some rules based on prior knowledge are proposed to improve the effects of the same subject(1). First, some rules are introduced for recovery of the missing true features. Then, some rules for distinguishment between true features and pseudo features are proposed, which is suggested be executed in a recursive...
This paper presents a sensor fusion method based on the combination of adaptive unscented Kalman filter (UKF) and Fuzzy Logic Adaptive System (FLAS) for the ultra-tightly coupled GPS/INS integrated navigation. The UKF employs a set of sigma points by deterministic sampling, such that the linearization process is not necessary, and therefore the error caused by linearization as in the traditional extended...
A new data stream outlier detection algorithm SODRNN is proposed based on reverse nearest neighbors. We deal with the sliding window model, where outlier queries are performed in order to detect anomalies in the current window. The update of insertion or deletion only needs one scan of the current window, which improves efficiency. The capability of queries at arbitrary time on the whole current window...
With the increasing complexity of the project, how to coordinate the interests of project stakeholders has become a practical problem urgent to be solved, fair and reasonable interests coordination mechanism plays an important role for the success of the project. Therefore, the project's risk-sharing and benefit distribution among stakeholders is studied in this article, and we hope it could provide...
A multi-objective 0-1 integer programming model is established in order to solve the complex problem of cast batch planning for steelmaking and continuous casting which is considered as vehicle routing problem. To solve the complex multi-constrained, multi-objective cast batch planning model for steelmaking and continuous casting, a method is proposed which combines rules with ant colony algorithm...
In modern computer games, a NPC (non-player character) can make choices. In the previous researches, a NPC can have the certain knowledge in a game world; this will reduce the believability of perception for a NPC. A decision model based on Bayesian network and fuzzy logic for a NPC is set up in this paper; a NPC can partially know domain knowledge. A behavior animation of a virtual dog by the model...
Computational intelligence that utilizes adaptive fuzzy cerebellar model articulation controller (FCMAC) to aircraft automatic landing system is proposed in this paper. The proposed intelligent scheme uses CMAC and type-2 fuzzy system. Current flight control law is adopted in the controller design. Lyapunov stability theory is applied to obtain adaptive learning rule and to guarantee stability of...
A real-time emotion assessment method based on physiological signals was proposed. Firstly, electrocardiography, skin temperature and galvanic skin response were selected as physiological signals. Physiological indicators were considered model inputs, to guarantee the method real-time assessment, simplified support vector machines (SVM) was used to infer affective states. The experimental results...
For purposes of matching human resources to tasks, a manager might be interested, at first, in evaluating the different candidates according to the specific required criteria of the tasks. Those evaluations are considered as a good a priori definition of a selection problem variables. In the framework of the paper, we intend to provide a decision making tool to the manager for solving the multi-criteria...
The structural feature extraction from regular-shaped rigid objects is studied. First, some specific measures for facilitating the conventional Randomized Hough Transform (abbr. RHT) in our application are introduced. Then, a gradient direction constraint RHT is proposed for improving the poor performance of the conventional RHT that too much false response happens in noisy real images. The basic...
This study presents an recurrent functional neural fuzzy controller (RFNFC) for dynamic system control. The proposed RFNFC model has feedback connections added in the membership function layer that can used to memorize past information. A hardware-in-the loop (HIL) control technique is developed and applied to the designed RFNFC. The proposed RFNFC is used in the practical applications - the planetary...
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