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The constraint condition affects the attack, but this impact is not considered by the existing decision algorithm. In order to make the decision algorithm more consistent with the actual situation, this paper gave an optimal attack decision method based on the correlation between vulnerability and constraint conditions. The method first establishes the attack logic graph according the attack template,...
An important aspect of research on integrating wind farms is the analysis of short circuit current contribution to the power grid. In this paper, the fault related features of doubly fed induction generators (DFIGs) are modeled using low voltage ride through (LVRT) test data sets. The dynamic behavior of DFIGs after fault occurrence is represented by a typical curve that is obtained using a curve...
The growing number of tutoring agencies in Kampung Inggris Pare results in the growing number of the students, whereas the applicants still review the agencies they are interested in manually. This prolongs the process of choosing the right agency. Unfortunately, it is possible that the agency they have chosen later turns out not suitable for them. Therefore, a support system for selecting the right...
Image segmentation is an important step in the domain of image processing in which we segment the image into several parts which carry certain type of information for the user. Image segmentation is very difficult step in the processing of the image which aims at extracting the information from image. Clustering is used to segment the image. Clustering algorithms are part of data mining algorithm...
It is an important measure for China to implement the strategy of major functional area (MFA) to promote the optimization and upgrading of the industry and the development of regional integration. In order to study spatial correlation structure between optimization development zone and key development zone, the paper chooses Beijing-Tianjin-Hebei Metropolitan Region (BTHMR) and Ha-Chang City Group...
This paper puts forward a testability modeling method for analog circuit fault prediction. It firstly gets the grey correlation entropy of each test point in the analog circuit. Then it treats each grey correlation entropy as a correlation coefficient to form the dependency matrix of testability. After that, according to the dependency matrix we get, the paper uses the method of PSO (Particle Swarm...
Absorption chillers are the devices that required low grade thermal energy for instance waste heat of plant or renewable energy resources such as geothermal, solar etc. As absorption systems operate over lower coefficient of performance (COP) ranges therefore it is necessary to optimize the performance of these system. In this work, second law analysis and optimization of double effect series flow...
In this paper, an evolutionary algorithm is applied to tackle Intelligent Curriculum Sequencing issue. The purpose is to align educational technology, for instance, curriculum sequence to: students' characteristics and subject-matter coherence. The algorithm considers both technical and pedagogical point of view. Results show that the proposed Evolutionary Computation Search Algorithm could find optimal...
Inspired by recent progress in parallel and distributed optimization, we propose parallel least-squares policy iteration (parallel LSPI) in this paper. LSPI is a policy iteration method to find an optimal policy for MDPs. As solving MDPs with large state space is challenging and time demanding, we propose a parallel variant of LSPI which is capable of leveraging multiple computational resources. Preliminary...
We propose a masking method to protect agents' privacy for distributed optimization. In the proposed method, Agents add some signals to the own original state to conceal private information. To obtain the correct solution of the optimization problem, they exchange the added signals and subtract the received signals from the own state. Finally, we apply it to a microgrid and show that the supply-demand...
In this paper, we model an essential feature of underwater mine hunting with the aim of suggesting improvements to existing search tactics. We derive the effect of correlation between multiple sonar images of an underwater mine target - where a correlator represents the relation between images of the same target. For example, with duplicate images of the same target the correlator shows the absence...
In this paper, we propose a technique for improving the feature extraction and classification stages in EEG-based Brain-Computer Interface (BCI) Systems. The problem can be formulated as Linear Matrix Inequalities (LMIs) and, therefore, be solved through robust computational tools. The idea is to represent the EEG signals using a sinusoidal signal basis in a given frequency range, and introducing...
This paper aims to investigate the effect of distance metrics on the fitness landscape for model-based leakage localization and its impact on the performance of the differential evolution optimization algorithm applied to a theoretical water distribution network from literature.
The efficiency of optimization sets of filters for given set of waveforms for extraction of signals from interfering radar reflections are considered. The optimization is provided under additional constraints on range resolving performance and signal-to-noise ratio losses with different limitations on the memory and the width of the pass-band of the filter. Optimizing filters for given waveforms are...
The aim of this paper is to propose optimization techniques for source stirred reverberation chambers. In particular, the stirring function is accomplished by 62 monopole antennas distributed on the chamber walls, and subsequently fed two at a time for a total of 1891 combinations. At first it is shown how an irregular placement of the antenna increases the chamber performances. Subsequently, an optimization...
Tone mapping operators (TMO) have recently raised interest for their capability to handle illumination changes. However, these TMOs are optimized with respect to perception rather than image analysis tasks like key point detection. Moreover, no work has been done to analyze the factors affecting the optimization of TMOs for such tasks. In this paper, we investigate the influence of two factors-Correlation...
With the rapid development of IT and logistics, importance of the warehouse has been growing. It is generally believed today that shorten the working time in the Warehouse is viewed as an important issue. The solution of the issue is changing product placement in the warehouse. This study proposes the dynamic product placement method. We examine that experimental results is effective.
In weakly supervised object detection, conventional methods treat object location in each image as a latent variable and use non-convex optimization to solve the latent variable. However, as the optimization objective is image-level instead of sample-level, the learning procedure tends to choose object parts as false positive samples. Furthermore, when multiple classes of objects appear in the same...
Classical dictionary learning algorithms that rely on a single source of information have been successfully used for classification tasks. Additionally, the exploitation of multiple sources has shown to be advantageous in challenging real-world situations. We propose a new framework to exploit robust modality fusion in classification in order to achieve better classification performance than single...
Estimation of salient regions in an input video is an active area of research due to its wide applications. In this paper, we propose a novel algorithm to estimate the eye gaze movement in a video using motion, color and structural cues with minimum outliers. The algorithm is generalized to capture salient information for the videos taken under different camera motions. The entire algorithm is parallelizable...
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