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Model-driven development (MDD) is methodology of software construction emerging recently to counter the drawbacks of classic approaches. Apart from the well-known UML, SEAM is another MDD approach increasingly attracting attention due to its capability of regarding the whole system as a single view, thus enabling consistency maintaining during the design development. Especially, the final diagram...
Service-oriented architecture provides a solution for building information systems with reusability, flexibility, and extensibility. In SOA, new services can be developed by using existing services. BPEL is considered as the main means for composing services. In service composition, a composite service may be built from element services which belong to different administrative domains. Therefore,...
Standard supervised learning approaches have been widely applied on the text classification problem. These standard approaches exploit only the local content of the document. However, the additional information in the relationship between the items can be used to improve the overall accuracy of the classification process. To make use of this information, the authors propose a statistical model to...
The GIS applications require the attributes of semantic, space and time data. Spatial data describe the shape, size, location. Temporal data record the time of creation, loss of the space object and history of the changes are stored in the database. The modeling stage is very important first step to build a database of space-time in a GIS application. There have been many models of the authors have...
In statistical phrase-based machine translation, the step of phrase learning heavily relies on word alignments. This paper provides a systematic comparison of applying various statistical alignment models for statistical English-Vietnamese phrase-based machine translation. We will also invest a heuristic method for elevating the translation quality of using higher word-alignment models by improving...
Time series motifs are frequently occurring but unknown sequences in a time series database or subsequences of a longer time series. Discovering time series motifs is a crucial task in time series data mining. Among a dozen algorithms have been proposed for discovering time series motifs, the most popular algorithm is Random Projection. This algorithm can find motifs in linear time. However, it still...
Mutation testing is a fault-based technique widely used for testing software. Particularly, it allows the effectiveness of a set of test data to be evaluated in terms of the ability to reveal faults. Nowadays, many industrial complex systems are more and more developed. Such systems require more testing activities to ensure a good quality. Simulink is one of the most popular tools to develop this...
Text Summarization is the process of identifying and extracting the most vital information in a document. It has been seen as an effective method for dealing with increasing amount of information on the Internet nowadays. In this paper, we present an application of Genetic Programming to the problem of Automatic Text Summarization. Genetic Programming was used to evolve the function that ranks the...
Although with different purposes, both Domain Ontology and Formal Concept Analysis (FCA) are models used to present modeling concepts. FCA uses a lattice in mathematics to present concepts based on objects and attributes, whereas domain Ontology also presents concepts and is used in various areas, e.g., biology, information retrieval, information extraction, etc. In this article we propose a method...
In this paper, we design a prototype with hybrid software-enabled detection engine on the basis of an evolving block-based neural network (BBNN), and integrate it with a Field Programmable Gate Arrays (FPGA) board to enable a real-time host-based intrusion detection system (IDS). The established prototype can feed sequence of system calls obtained from a server directly into the BBNN based IDS. The...
In this article, we propose a method of object identification in the state of fuzzy object-oriented database schema based on different notions of fuzzy object functional dependencies. Here, fuzzy object functional dependencies allow to express constraints on attributes of arbitrary object types including the types themselves. Moreover, the different forms of object identification are also introduced...
Image segmentation is an important problems in the field of image processing. In this paper, we propose a hybrid approach of image segmentation, combining MeanShift, an image segmentation method, and Saliency Maps, a regions-of-interest detection method. Our proposed method uses low-level features of color image, such as luminance, color and spatial. The results from experiments showed that our proposed...
Advertising has appeared in almost all areas of life. The large number of advertisements, especially in real estate domain, has raised a need for an effective way to search and find useful information for users. In this paper, we propose a rule-based approach to build an Information Extraction system for Vietnamese online real estate advertisements. Experimental results shows that our approach is...
The paper introduces some basic characteristics of Ka Tu language, from that we built the machine translation system from Ka Tu language into Vietnamese in a restrict context for translating the weather forecast bulletins, supporting the communication of Ka Tu language of Vietnamese voice emission. The system was tested at the Quang Nam Radio and Television station. The initial Results are Positive...
The emergence of service-oriented architecture (SOA) enables business functionalities to be invoked over a remote network, and thus requires specific modelling methods to develop service-oriented solutions. In this paper, we focus on precise service modelling and provide two approaches, one based on a standard widespread not formal notation (SoaML), and the other based on a formal notation (CASL4SOA)...
Problems related to brown plant hopper outbreaks management in the Mekong Delta-Vietnam are complex and need aggregating information across administrative scales. Brown plant hopper density and environmental indicators are main factors that support stakeholders have suitable decision making. Due to detail levels of information are different from field scale to region scale, upscaling information is...
Genotype data provide crucial information to understand effects of genetic variation to human health. Current microarray technologies are able to generate raw genotype data from thousands of samples across million of SNP sites. These raw data are processed by computational methods, called genotype caller, to obtain genotypes. Genotype calls of different callers might not be consistent due to noise...
Summary form only given, as follows. Traditionally, the focus of specification mechanism has been on improving its ability to cover a wider range of problems more accurately, while the effectiveness of verification is left to the underlying theorem provers. Our work attempts a novel approach, where the focus is on designing good specification mechanisms to achieve better expressivity (the specification...
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