Fuzziness modeling for spatial data is currently an important problem in geographic information systems and spatial databases. In many geographical applications, spatial regions do not always have sharply defined boun...
详细信息
Fuzziness modeling for spatial data is currently an important problem in geographic information systems and spatial databases. In many geographical applications, spatial regions do not always have sharply defined boundaries but frequently their interiors and boundaries are fuzzy. A fuzzy spatial region model was proposed based on pleat set and the property of fuzzy regions was analyzed. The calculation method of relative membership of point in fuzzy region was given, and visualization model based on absolute membership value was proposed. The practical case shows that the model based on pleat set is valuable in the fields such as GIS, geography and spatial database.
In this paper, we introduce the condition of distributed computing at present firstly. On this foundation, according to the analysis of particular case of distributed computing network, we implement a distributed netw...
详细信息
In this paper, we introduce the condition of distributed computing at present firstly. On this foundation, according to the analysis of particular case of distributed computing network, we implement a distributed network environment of P2P whose bottom layer frame is based on JXTA. It improves issuing method of message based on pipeline decomposition mechanism of task based on usage ratio of processor and distributed mechanism of object based on serialization. We build an improved distributed computing network platform on the platform of Linux and Windows and simulate a distributed computing environment. The simulated experiment proves the feasibility and the validity of the distributed network computing platform that is constructed in this paper
In order to reduce the complexity of the state space in Order-k Markov predictor, a new Step-2 Markov predictor is proposed to make path prediction over WLAN. The feasibility of the Step-2 Markov predictor is proved b...
详细信息
In order to reduce the complexity of the state space in Order-k Markov predictor, a new Step-2 Markov predictor is proposed to make path prediction over WLAN. The feasibility of the Step-2 Markov predictor is proved by calculating and comparing conditional entropy of Step-2 and Order-k Markov predictors. And the paper also analyzes and compares the prediction accuracy of the two kinds of Markov predictors using actual Wi-Fi trace data. The work shows that the Step-2 Markov predictor is more stable than Order-1 Markov predictor for different length trace files and it also reduces the complexity of the Markov state space dramatically and gets approximately the same prediction accuracy with Order-2 Markov predictor and higher accuracy than Order-k (k≠2) Markov predictors.
Object-Oriented software design improving technology is an effective means to increase system flexibility for adapting to future requirement variation and expansion. In this paper, a software design improving approach...
详细信息
Object-Oriented software design improving technology is an effective means to increase system flexibility for adapting to future requirement variation and expansion. In this paper, a software design improving approach, based on micro-architecture anti-pattern and case based reasoning, is presented to improve software quality and maintainability. In this approach, problematic, inflexible structures and corresponding refactoring alternatives at micro-architecture level are formally defined and described as cases. Their organization and index mechanism in the case base are studied. Following the 4R procedures of CBR, similarity measurement methods on class diagrams, sequence diagrams, OO quality metric factors, and semantic constraints are discussed. Based on the measurement results, some algorithms on identifying anti-patterns instances in a given original design and replacing them by designs with high quality are presented. Furthermore, a supporting system CBDIT is developed to aid this approach.
We propose a new visualization method WDM to classify documents by adding in the position-factors of words such as the title-factor and the first-sentence-factor based on a SOM neural network. We also discuss the sele...
详细信息
ISBN:
(纸本)1424406048
We propose a new visualization method WDM to classify documents by adding in the position-factors of words such as the title-factor and the first-sentence-factor based on a SOM neural network. We also discuss the selection of the function which is used to calculate the belong-to-probability in neurons' reflecting process. The experimental results indicate that WDM makes the boundaries of different documents greatly more clear, and thus it can produce more accurate and intuitive classification compared to the visualization methods which do not have position-factors considered
The escape time algorithm cannot render the convergence region of mapping, so there are some black regions in escape time fractal. In this paper, a novel method is presented to construct fractal image, which is named ...
详细信息
The escape time algorithm cannot render the convergence region of mapping, so there are some black regions in escape time fractal. In this paper, a novel method is presented to construct fractal image, which is named the distance ratio iteration method. This method performs iteration on two points and render fractal image by using their distance ratio convergence times. Taking complex mapping z←zα+c as example, the generalized Mandelbrot and Julia sets are constructed based on distance ratio and their visual properties are analyzed. The result fractal image has complex and self-similarity structure in inner convergence region. It is proved that the boundary of distance ratio fractal is the same as M-J set when α>0, and some visual structure of it with various exponent α are discussed. When α<0, the generalized Mandelbrot and Julia set based on distance ratio have some complex structures which M-J set does not have.
Dynamic Bayesian Networks (DBNs) are directed graphical models of stochastic processes, How to learn the structure of DBNs from data is a hot problem of research. In this paper the author presents an Immune evolutiona...
详细信息
In workflow systems or other applications, users need more semantic information. Ontologies and semantic web are important technologies for managing semantic information. Our work is focused on semantic spatial inform...
详细信息
Modal logics are good candidates for a formal theory of agents. The efficiency of reasoning method in modal logics is very important, because it determines whether or not the reasoning method can be widely used in sys...
详细信息
Modal logics are good candidates for a formal theory of agents. The efficiency of reasoning method in modal logics is very important, because it determines whether or not the reasoning method can be widely used in systems based on agent. In this paper, we modify the extension rule theorem proving method we presented before, and then apply it to P-logic that is translated from modal logic by functional transformation. At last, we give the proof of its soundness and completeness.
Ontology evolution in the Model Driven Semantic Web can be looked as a process of model transformations. A model-transformation based conceptual framework for ontology evolution is presented in the paper. Applications...
详细信息
ISBN:
(纸本)3885793989
Ontology evolution in the Model Driven Semantic Web can be looked as a process of model transformations. A model-transformation based conceptual framework for ontology evolution is presented in the paper. Applications of model transformations in every phase of ontology evolution process are described. The framework combines technologies of ontology evolution, Ontology Definition Metamodel and model transformations, and it can be looked as a method for ontology evolution in the Model Driven Semantic Web.
暂无评论