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This paper proposes a robust automatic clustering algorithm based on the Hausdorff distance, called the self-updating clustering algorithm, for interval-valued data. This algorithm can simulate the self-clustering process. At the end of the clustering process, interval-valued data belonging to the same cluster converge to the same position, which represents the cluster's center. The numerical results...
Capital planning of a distribution electric power utility aims to improve the reliability of energy delivery to its customers. It is critical to prioritize capital investments on problematic feeders in a distribution network. SAIDI is one of the most commonly used key performance indicators of a utility. An optimal capital investment strategy should seek to maximize the intrinsic reliability of feeders...
Distributed Generation (DG) plays an important role in improving the overall performance of a power system. However suitable DG placement techniques should be decided apriori for proper utilization of DG resources. This paper aims to find out a suitable method from available competing methods for proper placement of a DG unit in a smaller and a medium size multi-bus system. Also it aims to assess...
Design of Fractional Order PID controller (FOPID) for speed regulation of DC motor is presented in this paper. In comparison with conventional PID, FOPID is more flexible and trustworthy to control higher order systems. The FOPID exhibits the Iso-damping property to enhance the robustness of closed loop response of the system against gain variations. According to parameters adjustment problems of...
In this paper a novel differential particle swarm optimization (DPSO) algorithm is proposed. The proposed algorithm includes an additional term in the velocity equation of the classical particle swarm optimization (PSO) algorithm. The additional term in DPSO is the experience of a particle selected randomly from the swarm for a target particle. The difference of the selected and the target particle...
Projective distortion remains an open problem for image stitching. This paper proposed a novel weight-based shape-optimizing warping framework, which combines a projective transformation and a similarity transformation so as to reduce the projective distortion. This method aligned images with the projective transformation, and optimized images' shape under the constraint condition of similarity transformation...
The fundamental idea of this work is to synthesize reactive controllers such that closed-loop execution trajectories of the system satisfies desired specifications that ensure correct system behaviors, while optimizing a desired performance criteria. We define the correctness of a system's behavior according to the system's relation to the environment, for example, the output trajectories of the system...
Identifying reliable information from the information ocean is a natural talent of human being, which can be hardly formalized by machines. In this paper, we show how to measure the uncertainty of each sample in terms of their similarity. For applications under complex uncertainty, it is desirable that we provide a systematic way for users to identify what are reliable information. In our approach,...
Manifold distances are very effective tools for visual object recognition. However, most of the traditional manifold distances between images are based on the pixel-level comparison and thus easily affected by image rotations and translations. In this paper, we propose a new manifold distance to model the dissimilarities between visual objects based on the Complex Wavelet Structural Similarity (CW-SSIM)...
This paper addresses the problem of robust decoding of 3D video over hybrid broadcast networks, using Multiple Description Coding (MDC). Despite the fact that MDC allows decoding of any description even when the others are lost in the multipath network, the resulting coarsely decoded depth maps produce unacceptable distortion in synthesised views. This is particularly harmful in the case of intra-coded...
The shares are considered as a fundamental part of the equity market, as their values change over time as a result of offer and demand, and the effect of market volatility. This volatility makes the trading of shares on a stock exchange is an extremely difficult task. That is why in this article develops and analyzes a system for automatic trading shares, which incorporates a series of progressive...
A robust target recognition method proposed based on recurrence plot and recurrence quantification analysis (RQA) to generate robust features against noise, target velocity and aspect angle from micro-Doppler (m-D) signatures. The proposed method is tested on simulated data of three different targets using multiclass support vector machine (MSVM) and classification rate of about 95 % is achieved....
The objective of this work is to propose a novel methodology for the finger knuckle print recognition, which is essentially a digital photo of the finger-knuckle region. We have employed very simple concepts of visual computing such as a filter based on the Sobel operator for finding edges and a simple noise reduction algorithm. These operations are exceptionally fast and produce binary images, which...
The supplier selection and order allocation decisions are very difficult and complex decisions for the supply function manager. Integrated they both decisions are important for the efficiency of supply chains. In this paper, we propose an integrated method for solving supplier selection and order allocation problem. We proposed a modified TOPSIS named Meaningful Mixed Data TOPSIS analysis (MMD-TOPSIS)...
The data recorded in industry for rotating machine health monitoring are often a large number and unlabelled. It is impractical to label these data manually. Traditionally unsupervised algorithms have been applied to address this challenge. In the situation where relevant features are included or when the features are not selected properly, it could lead to poorly-separated clusters and deteriorate...
In this paper, we propose a feature representation that achieves translation, rotation, and scale invariant simultaneously. We first proposed a novel component, called Block Based Integral Image, to search the densest region of feature points. This aims to find the center of potential object in the image. Then, with the improved object center, we apply Spatial Pyramid Ring (SPR) by to handle translation...
In the cooperative data exchange problem, a set of clients share a lossless broadcast channel. Each client initially has a subset of packets in the ground set X, and wishes to learn all packets in X. The clients exchange their packets with each other by broadcasting coded or uncoded packets. In this paper, we consider a generalization of this problem for the settings in which an unknown (but of a...
Object extraction from complex scene of image is important for computer vision and pattern recognition. Fully automatic object extraction without human intervention is very tedious. Therefore, good solution of object extraction from complex scene is obtain by interactively. In this paper an interactive topological model based object extraction are proposed, which is based on two main important properties...
Due to the recent financial crisis, several systemic risk measures have been proposed in the literature for quantifying financial system wide distress. In this note we propose an aggregated Index for financial systemic risk measurement based on EOF and ICA analyses on the several systemic risk measures released in the recent literature. We use this index to further identify the states of the market...
The application of Complex Networks have significantly advanced in the last decade and brought about valuable insights to properties of real world systems by evaluating their structure, topology and construction. Similarly here an electric power network is considered as a complex network where its buses are the nodes and edges are the links of a complex network graph respectively. Power grid Vulnerability...
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