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This paper focuses on the problem of seabed survey mission with multiple target points distributed in large scale area. To complete the survey with AUVs in minimum cost, a two-step procedure using greed strategy is presented. In the first step, the locations of so-called anchor points are found by executing k-means algorithm iteratively. In the second step, an ant-cycle system is used to find out...
Supply chain management aims at delivering goods in the shortest time at the lowest possible price while ensuring the best possible quality and is now vital to the success of the online retail business. Executing effective warehouse site selection has been one of the key challenges in the development of a successful supply chain system. While some effective strategies for warehouse site selection...
Local community detection (or local clustering) is of fundamental importance in large network analysis. Random walk based methods have been routinely used in this task. Most existing random walk methods are based on the single-walker model. However, without any guidance, a single-walker may not be adequate to effectively capture the local cluster. In this paper, we study a multi-walker chain (MWC)...
Greenhouse climate is difficult to model as a complex nonlinear system. The solution to the problem of describing the relation between inputs and outputs is using T-S fuzzy modeling which could transform a nonlinear system into several linear systems. During the transition, c-means clustering is used to cluster the variable of inputs and outputs. The result of clustering determines the compose of...
The biological signals collected by the multi-electrode array are contaminated by heavy noise signals. How to quickly classify the original action potential from the measured noisy signals accurately is the basis of researches in the field of neuroscience. In this paper, we analyze the characteristics and shortcomings of Wave-clus sorting algorithm, and present a novel sorting algorithm to solve the...
The role of machine vision detection technology as the core component in the surface mount technology devices (SMDs) cannot be denied. Single in-line package chip is an important type in IC chips and its leads forms varies a lot. This paper proposes an efficient method to soft measure single in-line package chips position and orientation. Chip image is taken by the industrial camera in the form of...
We consider the problem of efficiently learning mixtures of a large number of spherical Gaussians, when the components of the mixture are well separated. In the most basic form of this problem, we are given samples from a uniform mixture of k standard spherical Gaussians with means mu_1,...,mu_k in R^d, and the goal is to estimate the means up to accuracy δ using poly(k,d, 1/δ)...
In the context of Visualization, Multidimensional Projection techniques are employed to show similarity relations among instances of a multidimensional dataset. Distinct projection techniques use different approaches to perform the dimensionality reduction and, consequently, different metrics are employed to assess projection quality according to similarity and structures preservation. Usually, quality...
With wafer fabs running at near full capacity, it is a constant challenge to maintain high yields. Many different products are fabricated by the same equipment. So the sudden change in product yield, a yield excursion, can have a significant impact to many different products. Therefore, it is critical to detect an excursion as early as possible and fix the cause in order to minimize the impact. This...
This paper investigates an efficient modal method for reducing weak transmission stability boundaries and identifying voltage control areas. This method divides the power system network into regions to eventually reduce the control candidates for each controller and minimize the interaction between each voltage control area. To determine the optimized number of areas, proper selection of threshold...
When studies in literature are examined, it is seen that different approaches have been used to solve facility layout problems. The relationship between departments in layout is always important. In this study, data mining technique is used for analyzing relations among departments and then association rules are obtained. Determining closeness relationships between the departments in facility are...
A technique and algorithms for early detection of the started attack and subsequent blocking of malicious traffic are proposed. The primary separation of mixed traffic into trustworthy and malicious traffic was carried out using cluster analysis. Classification of newly arrived requests was done using different classifiers with the help of received training samples and developed success criteria.
The capacitated vehicle routing problem (CVRP) is one of the most challenging problems in the optimization of distribution. Most approaches can solve case studies involving less than 100 nodes to optimality, but time-consuming. To overcome the limitation, this paper presents a novel two-phase heuristic approach for the capacitated vehicle routing problem. Phase I aims to identifying sets of cost-effective...
An accurate detection of spectrum opportunities is a key factor in governing the efficient spectrum usage in a cognitive radio (CR) system. Energy detection based spectrum sensing has been widely used due to its ease of implementation with lower computational complexity; however, its robustness and performance are highly affected by the noise uncertainty. In the present work, a real time hardware...
Dealing with high dimensional data is a challenging and computationally complex task in the data pre-processing phase of text clustering. Conventionally, union and intersection approaches have been used to combine results of different feature selection methods to optimize relevant feature space for document collection. Union method selects all features from considered sub-models, whereas, intersection...
A new color image segmentation of noisy images based on spatial information with the Generalized Dirichlet mixture model is presented. The methodology uses Markov Random Field distribution with a novel factor that is induced in mixture model. The model is learned using Expectation Maximization (EM) algorithm based on Newton-Raphson approach. The obtained results using real images are more encouraging...
This article presents a proposal of solution for the problem of optimal task allocation and scheduling for computing cluster with multiple nodes. The above issue is considered as Two-Dimensional Packing Problem. We present the two level algorithm where Tabu Search is used to minimize relatively low accuracy of greedy packing strategy. The paper contains the results of computational experiments on...
The paper presents combined clustering RBF neural network as a tool to develop the model of the SRM. Combined clustering algorithm is presented here to determine node number of hidden layer and center of RBF neural network. First, the subtractive clustering algorithm is used to find the initial clustering center. FCM(Fuzzy c-means) clustering algorithm is used for further adjustment and effectiveness...
The presence of outliers, noise, corrupt pieces of data and great quantity of samples in a multispectral image, makes the segmentation analysis work tedious. The fuzzy clustering approach, specially, is susceptible to inhomogeneity of characteristics. Furthermore, many algorithms such us FCM, PFCM, FCC, FWCM and modification aim to solve these problems by integrating spacial information. This process...
Several problems are rised in order to enhance the effectiveness of communication in online discussion. The similarity and repetition of comments in terms of questions in the sentences or text meanings as well as triggers the emerging of miscommunication amongst participants in a forum discussion are investigated. Moreover, some comments seems are ignored or not been touched by other participants...
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