Image segmentation is process of partitioning a digital image into multiple sets ofpixels called *** this paper,the technique of image segmentation used focused on color image since the output of pattern must be in **...
详细信息
Image segmentation is process of partitioning a digital image into multiple sets ofpixels called *** this paper,the technique of image segmentation used focused on color image since the output of pattern must be in *** present the implementation of block segmentation as a technique to convert a color image into cross stitch *** segmentation is used by considering the characteristic of cross stitch pattern itself.
作者:
Alberto BosioGiorgio Di NataleLanguages
Informatics Systems and Software Engineering Department Faculty of Computer Science Université Montpelher II Montpellier France
High-density components and process scaling lead more and more to the occurrence of new class of dynamic faults, especially in Static Random Access Memories (SRAMs), thus requiring more and more sophisticated test alg...
详细信息
High-density components and process scaling lead more and more to the occurrence of new class of dynamic faults, especially in Static Random Access Memories (SRAMs), thus requiring more and more sophisticated test algorithms. Among the different types of algorithms proposed for testing SRAMs, March Tests have proven to be the most performing due to their low complexity, their simplicity and regular structure. Several March Tests for dynamic faults have been published, with different fault coverage. In this paper we propose March BDN, an extended version of the March AB. We will prove that it is able to increase the fault coverage in order to target latest dynamic faults. We show that the proposed March BDN has the highest known fault coverage compared to March Tests with the same complexity.
Increasingly drug discovery is turning to in-silico methods to find potential enzyme or protein-protein inhibitors. The quantitative structure-activity relationship (QSAR) is commonly used to find potential inhibitors...
详细信息
Increasingly drug discovery is turning to in-silico methods to find potential enzyme or protein-protein inhibitors. The quantitative structure-activity relationship (QSAR) is commonly used to find potential inhibitors in the search for new drugs. In this paper we propose to use a radial basis function (RBF) network to determine the QSAR of aldose reductase inhibitors (ARIs). We find that the RBF network shows promising results of predicting the bioactivities of the ARIs.
Different types of sensors are used to control and monitor complex systems in many applications, where the environmental parameters, e.g., temperature, humidity, etc., undergo large variations. In such conditions, the...
详细信息
Different types of sensors are used to control and monitor complex systems in many applications, where the environmental parameters, e.g., temperature, humidity, etc., undergo large variations. In such conditions, the sensor's output may be erroneous and the system being controlled may malfunction. The need of intelligent sensors arise in such situations. These sensors should be capable of compensating for the adverse effects of the environmental conditions on the sensor output and linearization of sensor response, in order to provide correct readout. In this paper, we propose a novel computationally efficient Legendre functional-link artificial neural network (L-FLANN) to develop a smart sensor that can compensate for the adverse effects of the environmental conditions. By taking two types of environmental models and a pressure sensor, we have shown with extensive computer simulations that the proposed smart sensor is computationally efficient with respect to a multi-layer perceptron (MLP)-based sensor model and capable of satisfactory linearization of sensor output. This smart sensor produces only plusmn0.5% full-scale error between the actual and estimated output for the two selected environmental models under a temperature variation of -50 to 200degC.
This paper presents a method of ontology-based sentiment classification to classify and analyse online product reviews of consumers. We implement and experiment with a support vector machines text classification appro...
详细信息
This paper presents a method of ontology-based sentiment classification to classify and analyse online product reviews of consumers. We implement and experiment with a support vector machines text classification approach based on a lexical variable ontology. After testing, it could be demonstrated that the proposed method can provide more effectiveness for sentiment classification based on text content.
In this paper, we present the result of our study on the application of artificial neural networks (ANNs) for adaptive channel equalization in a digital communication system using 4-quadrature amplitude modulation (QA...
详细信息
In this paper, we present the result of our study on the application of artificial neural networks (ANNs) for adaptive channel equalization in a digital communication system using 4-quadrature amplitude modulation (QAM) signal constellation. We propose a novel single-layer Legendre functional-link ANN (L-FLANN) by using Legendre polynomials to expand the input space into a higher dimension. A performance comparison was carried out with extensive computer simulations between different ANN-based equalizers, such as, radial basis function (RBF), Chebyshev neural network (ChNN) and the proposed L-FLANN along with a linear least mean square (LMS) finite impulse response (FIR) adaptive filter-based equalizer. The performance indicators include the mean square error (MSE), bit error rate (BER), and computational complexities of the different architectures as well as the eye patterns of the various equalizers. It is shown that the L-FLANN exhibited excellent results in terms of the MSE, BER and the computational complexity of the networks.
This paper presents the development of Pet Shop Management System (PSMS) for Klinik Veterinar & Surgeri Jawhari. PSMS able to manage the pet information such to produce the pet birth certificate and the pet vaccin...
详细信息
This paper presents the development of Pet Shop Management System (PSMS) for Klinik Veterinar & Surgeri Jawhari. PSMS able to manage the pet information such to produce the pet birth certificate and the pet vaccine schedule. In addition, this system provides automatically calculation service payment and generates the payment receipt. By developing this system, the management of pet shop performs in systematic through its function requirements. The users of PSMS are the manager and the staff of the Klinik Veterinar & Surgeri Jawhari. This system was developed using Visual Basic language (VB) language and Microsoft Access as the database platform.
In this paper, we have studied a common Web service composition problem, the syntactic matching problem, where the output parameters of a Web service can be used as the input parameters of another Web service. Many au...
详细信息
In this paper, we have studied a common Web service composition problem, the syntactic matching problem, where the output parameters of a Web service can be used as the input parameters of another Web service. Many automatic Web service composition algorithms based on AI planning techniques have been proposed. However, most of them do not scale well when the number of Web services increases, or may miss finding a solution even if one exists. The planning graph, another AI planning technique, provides a unique search space. We have found that when we model the Web service composition problem as a planning graph, it actually provides a trivial solution to the problem. Instead of following the usual way to find a solution by a backward search, we put our efforts into removing the redundant Web services contained in the planning graph. Our approach can find a solution in polynomial time, but with possible redundant Web services. We have tested our algorithms on the data set used in ICEBEpsila05 and compared our results with existing methods.
Super-peer P2P systems strike a balance between searching efficiency in centralized P2P systems and the autonomy, load balancing and robustness provided by pure P2P systems. A super-peer is a node in a super-peer P2P ...
详细信息
Super-peer P2P systems strike a balance between searching efficiency in centralized P2P systems and the autonomy, load balancing and robustness provided by pure P2P systems. A super-peer is a node in a super-peer P2P system that maintains the central index for the information shared by a set of peers within the same cluster. The central index handles the searching request on behalf of the connecting set of peers and also passes on the request to neighboring super-peers in order to access additional indices and peers. In this paper, we study the behavior of query answering in super-peer P2P systems with the aim of understanding the issues and tradeoffs in designing a scalable super-peer system. We focus on where to post queries in order to retrieve the result and investigate the implications for three different architectures: caching queries at the peer; caching only at the super-peer; and an ordinary P2P system without any caching facilities. We are adopting the existing equation on measuring the network cost for query answering in super-peer systems. In addition, we are adapting the same equation for super-peer system with caching facilities while answering their queries. Using these equations, the cost of query processing for these architectures is compared. The paper discusses the tradeoffs between architectures with respect to caching, highlights the effect of key parameter values on system performance, and ends by considering whether certain knowledge domains are more appropriate for particular architectures.
This chapter presents our solution to the CoCoME assignment that is based on the SOFA 2.0 (software Appliances) hierarchical component model. The solution involves (i) modeling architecture in SOFA meta-model, (ii) sp...
详细信息
暂无评论