With the startup of the Golden Agriculture Project, the step of being-information of agriculture is becoming rapid. And the transformation and share of data is indispensable to the being-information of agriculture. Ho...
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With the startup of the Golden Agriculture Project, the step of being-information of agriculture is becoming rapid. And the transformation and share of data is indispensable to the being-information of agriculture. How to implement data combination, data transformation and data receiving applications are the important means to complete the information share safely and enhance the efficiency. The paper starts with searching of methods to implement data interchange, and introduce some of the methods, points of the techniques, etc. Basing on this, the paper also introduces the detail requirement analyses, system design and detail implementation of the system. According to the requirement and trait of the project, a data interchange system is researched and completed. And a data interchange model based on message-oriented middleware (MOM) is presented in this paper, which builds a middleware between the province and the ministry taking part in data interchange. The system has traits as follows: 1. keeping the data safe and credible while it is transformed. 2. having excellent transplantable and applied capability. 3. doesn't need intervention of workman in the process of data interchange. 4. applying the data interchange between databases of different structure. 5. being simple to be developed and applied. MOM TongLink/Q offers interfaces for application development, and it completes the data transformation through the internet. The integration adapters developed do the data management, which are developed based on the Frame for Applications Integration TongIntegrator. This method offers a new approach to resolve the question of data interchange. Now the system has been successfully applied in the data interchange project of Ministry of Agriculture.
information granulation and entropy theory are two main approaches to research uncertainty of an information system, which have been widely applied in many practical issues. In this paper, the characterizations and re...
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information granulation and entropy theory are two main approaches to research uncertainty of an information system, which have been widely applied in many practical issues. In this paper, the characterizations and representations of information granules under various binary relations are investigated in information systems, an axiom definition of information granulation is presented, and some existing definitions of information granulation become its special forms. Entropy theory in information systems is further developed and the granulation monotonicity of each of them is proved. Moreover, the complement relationship between information granulation and entropy is established. This investigation unifies the results of measures for uncertainties in complete information systems and incomplete information systems.
One key point in atmospheric and environmental research today is forecasting of air quality because the health is impacted by the pollutants existing in urban air. Support vector machine (SVM) has been used in air qua...
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One key point in atmospheric and environmental research today is forecasting of air quality because the health is impacted by the pollutants existing in urban air. Support vector machine (SVM) has been used in air quality prediction as a new learning method developed in recent years. The selection of kernel function is one of important branches in SVM researches. This paper presents a new kernel function based on time correlation for time series data, which incorporates the cyclical feature of time series into SVM. Simulation experiments demonstrate the presented kernel function can help to improve the fitting effect and obtain better generalization performance of SVR.
Question classification is an important step in a question answering system, the accuracy rate of question classification has great impact to a question answering system's following module. This paper proposed a q...
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The K-Nearest Neighbor (KNN) algorithm for text categorization is applied to CET4 essays. In this paper, each essay is represented by the Vector Space Model (VSM). After removing the stop words, we chose the words, ph...
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As a new branch of data mining and knowledge discovery, the research of biomedical text mining has a rapid progress currently. Biomedical named entity recognition is a basic technique in the biomedical knowledge disco...
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As a new branch of data mining and knowledge discovery, the research of biomedical text mining has a rapid progress currently. Biomedical named entity recognition is a basic technique in the biomedical knowledge discovery and its performance has direct effects on further discovery and processing in biomedical texts. In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Four individual classifiers, Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maximum Entropy are combined through three different strategies. We demonstrate the effectiveness of the strategies and compare their performances with standalone classifier system. The experiments are carried on JNLPBA2004 corpus with an F-sore of 77.57%. Experimental results show that the proposed method, stacking ensemble strategy, can yield promising performances.
This paper presents a novel 3D interactive system for simulation and visualization of the human jaw motion. Based on the visual tracking technique, teeth plaster cast and marker cards is used for manipulating virtual ...
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This paper presents an experiment of audio-visual voice command recognition from small vocabulary in simulated noisy conditions. Electric and electronics devices should be controlled by these voice commands mainly in ...
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The vehicle routing problem with simultaneous delivery and pickup (VRPSDP) is studied under capacity constraint and maximum distance constraint;and the mixed integer programming model is built. To deal with the fluctu...
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The vehicle routing problem with simultaneous delivery and pickup (VRPSDP) is studied under capacity constraint and maximum distance constraint;and the mixed integer programming model is built. To deal with the fluctuation in vehicle load, we propose an ant colony system (ACS) approach by combining the pheromone updating strategy of rank-based version of the ant system (ASRank) with the MAX-MIN ant system (MMAS). A heuristic factor based on the residual loading capacity is also designed to improve the vehicle loading rate. Additionally, a local search strategy of node-exchange is used in the process of tour improvement to accelerate the searching. Finally, numerical results show that the algorithm provides the desirable solution with high convergence rate.
A novel solution of computing document similarity based on a combination of ontology with statistical method was presented in this paper. In this study, word sense ontology of keyword is firstly constructed by context...
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A novel solution of computing document similarity based on a combination of ontology with statistical method was presented in this paper. In this study, word sense ontology of keyword is firstly constructed by context multi-information, and then, the same feature firstly was acquired from document pairs, the usage of context co-occurrence feature was gotten in using part of speech, semantic, location, average co-occurrence probability, and was expressed as the linguistic ontology knowledge;final, document similarity evaluation value is calculated for each document to judge the document similarity degree. The Chinese document set from the NTCIR-3 workshop collection was used to evaluate the method, an average precision increase can be achieved at top 10 and 100 ranking.
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