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The internet resources are very rich, and the traditional search engines can accelerate the speed of network information retrieval. But the bilingual translation comparison pages' information in intemet are not fully used. So the combine of personalized search engine and the bilingual auxiliary translation become an important research subject at present. In this paper, basing on the large-scale network-based...
Construction of underground natural gas storage is a large, complex, with multi-objective nature of the projects. Vague Sets Based on Underground Gas Storage solution design are optimized. Examples show that it is convenient and feasible. Proposed single-value data into the data of the formula Vague, Vague sets introduce new similarity measures between the new formula, these two types of formula as...
Aiming at the shortages of the existing data-mining model for forecasting the industry security, a classification model based on rough sets and BP neural network (BPNN) is put forward in this paper. First, the theory of rough set is applied to pick up and reduce the index attributes. Then, the training samples are sent to the BPNN to train and learn. After that, the sorts of the coal industry security...
Knowledge discovery is a rapidly expanding technique in business applications. One of the most important problems in it is the process to discover continuously knowledge in evolving business domain. According to the notion of active mining, a continuous knowledge discovery process is developed for inducing the local first-order rules and global evolutional rules, to trace dynamic evolution patterns...
Similarity-Search based index structure is an important topic in many application areas, such as content-based multimedia information retrieval, data mining, cluster analysis, etc. In order to improve query performance in high-dimensional vector spaces, lots of index structures have been proposed. However, many well-known index structures encounter “dimensional curse” while the dimension of feature...
Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to "certain?? data, the data in the uncertain database are not exact points, which, instead, often reside within a region. In this paper, we study the ranked queries over uncertain data. In fact, ranked queries have been studied extensively in traditional...
Broadcasting is one of the most important operations in the wireless network for disseminating information throughout the entire network. Flooding is a simple mechanism to realize broadcasting, but it has high redundancy of retransmissions, leading to low transmission efficiency. Many broadcast protocols have been proposed for pursuing optimized transmission efficiency for wireless networks hypothetically...
Web services are self-describing, platform independent applications that can be accessed over the Internet. Web services enable us to dynamically find, bind and consume the needed functionality. Semantic Web services are being developed with the vision of automating this process and to facilitate interoperable machine to machine interaction with no/minimal human intervention. Semantic descriptions...
An iterative source-channel decoding scheme which exploits the source residual redundancies on symbol-basis is proposed. We first derive a modified BCJR algorithm based on the sectionalized code trellis for symbol decoding of the convolutional codes. This is used in conjunction with a softbit source decoder that computes the interpolative a posteriori probabilities of quantizer indexes. Simulation...
This paper describes GAHWM, a new evolutionary algorithm that integrates genetic algorithm paradigm with an inverted index model to mine the content of HTML documents for effective Web document retrieval. This method is superior in terms of recall and precision over various real life datasets.
In the last years, the area of Multicriteria Decision Analysis (MCDA) has brought about new methods to cope with classification problems, among which those based on the concept of prototypes. These refer to specific alternatives (samples) of the training dataset that are good representatives of the groups they fit in. In this paper, experiments are conducted over two prototype selection (PS) techniques...
Entities of the real world require partition into groups based on even feature of each entity. Clusters are analyzed to make the groups homologous and well separated. Many algorithms have been developed to tackle clustering problems and are very much needed in our application area of gene expression profile analysis in bioinformatics. It is often difficult to group the data in the real world clearly...
This work presents an empirical property-based model to describe Web-based vulnerability. We define a web application using a new descriptive model with pre-condition, behavior, entity and communication property sets. The vulnerable property relationship graph (VPRG) defines a vulnerability as vulnerable properties in application with relations to other properties in cause- and consequence-relationships...
One of the major objectives of Advanced Traffic Management Systems (ATMS) is to reduce traffic congestion in urban environments by improving the efficiency of utilization of existing infrastructures. Many creative and efficient technologies have been developed over the years. Although, commuters especially drivers take a critical part in containing traffic congestion problems, they are playing a passive...
A study was carried out to investigate customer satisfaction level towards the public transportation services provided by Consortium Express Bus Company. 200 respondents consisting of 65 men and 135 women participated in the study survey. The survey was conducted in three bus stations in Kuala Lumpur and Selangor areas, namely Pudu Bus Station, Kajang Bus Station, and Putra Bus Station. Importance-Performance...
Under voltage load shedding (UVLS) has been successfully deployed in many systems throughout the world to protect local systems from voltage collapse. This is particularly true if the system conditions and the contingencies leading to voltage instabilities are of low probability, but would result in serious consequences. However, the locations and how much load to shed requires expert knowledge and...
In content-based image retrieval, it is helpful to add a pre-classification module to classify a query image into attentive class or non-attentive class. Based on the pre-classification result, a suitable retrieval strategy is adopted for the query image presented. In this paper, we proposed a Multi-Layer Perceptron (MLP) classifier with the features extracted from saliency map to classify both the...
Data De-duplication has become a commodity component in data-intensive storage systems. But compared with other traditional storage paradigms, de-duplication system achieves elimination of data duplications or redundancies at the cost of bringing several additional layers or function components into the I/O path, and these additional components are either CPU-intensive or I/O intensive, largely hindering...
This paper proposes the prediction method for stock exchange of Thailand index (SET index). The proposed method was adapted from adding more important factors to the prediction function. This research takes into account both external and internal factors to forecast the SET index. The external factors are the historical movement of the world's major stock exchange market indices such as Dow Jones,...
Many structured Peer-to-Peer-Systems (P2P) have been developed over the past years. However, most of them rely on hash-functions and thus put major restrictions on applications being implemented on top of them. In this paper we present a very detailed description of Papnet, a hash-free P2P overlay-network that supports range-queries and realizes an infinite alphanumeric address space that can be used...
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