6858621
A management strategy for distributed data in collaborative design
This paper presents a distributed data management strategy for collaborative design, which supports the data exchange pattern based on any fine-grained data as well as that based on traditional file service. Data are represented using XML and their exchange is achieved through the publishing and subscription mechanism among individual participants. It is also shown in this paper that how the data replication mechanism, which supports both synchronous and asynchronous mechanism, propagates updates among data copies to provide consistent views of data among many computers, in which the rule-based approach is used to resolve conflict. Based on this strategy, a research prototype system of collaborative design has been implemented and tested in the design of auto-body welding lines.
19870915
Research on Network-Based Collaborative Commodity Development
In this paper, a detailed method is proposed to make the transformation of a product model to a commodity model. A collaborative commodity development theory based on the three properties of physical, energy and information is proposed. An integrated model composed of four sub-models is analyzed: designing sub-model, supplying sub-model, managing sub-model, and profit sub-model. The key techniques in the system development are discussed, including the network-based parts application technology and the commercial model optimization and evaluation technology. For the former, a search engine using the functional agent technology for network-based parts searching is described. A prototype system has been implemented to validate the proposed approach.
993092
Integrating Data Quality Data into Decision-Making Process: An Information Visualization Approach
Poor data quality (DQ) has been a troubling issue within many organizations. Thus it is important for a decision-maker to be aware of the data quality of the information based on which he/she makes a decision. However, the mental integration of DQ metadata in to a decision process poses a significant cognitive challenge. A decision-maker could be overloaded and may not effectively take advantage of the DQ metadata [2]. This paper thus proposes a visualization approach to reduce the amount of cognitive resource required for such mental integration.
17379626
Validating a geographical image retrieval system
This paper summarizes a prototype geographical image retrieval system that demonstrates how to integrate image processing and information analysis techniques to support large-scale content-based image retrieval. By using an image as its interface, the prototype system addresses a troublesome aspect of traditional retrieval models, which require users to have complete knowledge of the low-level features of an image. In addition we describe an experiment to validate the performance of this image retrieval system against that of human subjects in an effort to address the scarcity of research evaluating performance of an algorithm against that of human beings. The results of the experiment indicate that the system could do as well as human subjects in accomplishing the tasks of similarity analysis and image categorization. We also found that under some circumstances texture features of an image are insufficient to represent a geographic image. We believe, however, that our image retrieval system provides a promising approach to integrating image processing techniques and information retrieval algorithms.
18103320
Image Completion from Low-Level Learning
We present a learning-based approach to complete the missing parts of an image. Besides the conventional adopted image continuity and coherency heuristics, learnt image patches are used to better regularize the completion result. Through the learning process from a collection of commonly encountered natural images, we built a synthetic world consisting of scenes and their corresponding images. We further model the inter-patch relationships with a Markov Network. A belief propagation scheme is then used to choose and update a latent scene structure based on a maximal posterior probability estimation of the given image. The above operation usually converges within a few iterations. The obtained image is visually realistic.
18525398
Refactoring Formal Specifications in Object-Z
Software refactoring is to restructure artifacts to improve software quality, especially readability, extensibility, and maintainability, while preserving its external behaviors. Software refactoring has been successfully applied to source code and design models. However, refactoring has not yet been introduced to formal specifications. Compared to source code in programming languages similar to nature languages, formal specifications in formal mathematic languages are in urgent need of refactoring because mathematic languages are usually more difficult to understand or modify. Furthermore, formal specifications' inherent formality makes it easier to validate behavior preservation of refactorings, which dramatically increases the dependability of refactorings. This paper illustrates the necessity and possibility of refactoring formal specifications. It first illustrates the necessity with an motivating example, and then proposes a series of primitive refactorings and advanced refactorings that are composed of primitive refactorings.
15840871
Chaotic Simulated Annealing Neural Network with Decaying Chaotic Noise and Its Application in Economic Load Dispatch of Power Systems
Based on chaotic neural network (CNN), chaotic simulated annealing model with decaying chaotic noise (CSA-DCN) is presented. This model combines some advantages of Hopfield neural network (HNN) and simulated annealing (SA) algorithm, and decaying chaotic noise produced by iterated functions of logistic map is inducted into this model, which means it can be used to solve many multidimensioned, discrete, nonconvex, nonlinear constrained optimization problems, such as economic load dispatch (ELD) of power systems. Involved the transmission loss and valve point effect (VPE), the CSA-DCN model is applied to solve the ELD problem, the simulation results of three examples show that the CSA-DCN model for the ELD problem is versatile, robust and efficient.