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Back-light module (BLM) is one of the critical components in TFT-LCD display. It provides homogeneous light source for the display. The utilization of case-based reasoning system (CBRS) in the design process greatly improves the productivity of the design engineers. When designing a new BLM, the engineer would retrieve the existing case with best fit to the customer's specifications. The retrieved...
Selecting the most suitable learning object in SCORM-compliant learning object recommendation system is a complex decision process. We exploit the techniques of collaborative concept map design, ontology explaining, an evidence reasoning that may be use to deal with uncertain decision making, an evaluation analysis model and the evidence combination rule of the Dempster-Shafer theory for supporting...
Traditional expert systems for medical diagnosis have a major pitfall, in that it is difficult to adopt new knowledge, particularly from descriptive, incomplete and unstructured information. Information retrieval sounds a natural answer to these problems. This paper presents an information retrieval based approach to computer aided diagnosis in order to tackle this problem. Preliminary experimental...
Most electronic travel aids for the visually impaired and blind persons use voice instruction to inform the device users of the distance to the destination. However, presentation method of voice instruction have not been designed by taking into account the specific characteristics of human cognition, and so users sometimes would be confused. Then, in this paper, we would like to investigate optimal...
Theorem proving based on the extension rule is a new reasoning method. Based on the extension rule algorithm RIER, this paper presents a more efficient algorithm HRIER, which uses the heuristic strategy to guide the choosing of restricted searching space. The experiment results show HRIER improves the efficiency a lot, meanwhile it keeps the essence characteristic of extension rule method, namely...
This paper proposes an enhanced particle swarm optimization with gradient information (GPSO) for unconstrained optimization. Newton's method and mutation operation are embedded in the velocity update equation to improve the effect of cognition influence and social influence, respectively. Based on numerous test function taken from the literature, computational results via a variety of experimental...
In the raw slurry blending process, red mud, alkali powder, blending ore and limestone are translated into ball mills to produce the raw slurry whose quality indices include calcium ratio, alkali ratio and water content. The optimal control objective is to make the quality indices of raw slurry into their targeted ranges. However, due to the dynamics between the quality indices and the flow-rate of...
In this paper, based on the traditional algorithm of TSK fuzzy reasoning model, a new fuzzy reasoning algorithm is proposed for two rules, two linguistic input variables and one output variable, in which the membership functions are Gaussian-type functions. By using neural network back-propagation algorithm, the parameters in the membership functions can be adjusted on-line without changing the rules...
When rule base is sparse, we cannot get any reasoning result by traditional CRI method for an observation is in the gap between two neighboring antecedents. Ko??czy and Hirota have proposed a linear interpolative reasoning method, which give a solution for the problem, so fuzzy interpolative reasoning was born. But now, all of the interpolative reasoning methods are almost based on triangular-type...
We propose a CBR-based clustering mechanism (CBR-C) approach to provide an effective cost estimation for software project development. The object of CBR-C approach is to reduce estimation error and time and try to assist managers easily figure out estimation process. We use clustering method to index cases for finding optimal set of features used to help managers find out important features. For a...
Using the maximum-minimum synthesis method to carry through the fuzzy reasoning and classification Web text could only keep the main information. Many secondary factors were neglected. Though this method could decrease the workload of calculation, the adaptability and credibility of its results was not satisfied. Here a modified fuzzy comprehensive weighted evaluation algorithm on sematic Web was...
Electroencephalograph (EEG) recordings during right and left hand motor imagery can be used to move a cursor to a target on a computer screen (such system is called BCI). Recently, we have proposed the detection method of error potential in order to add the fail safe function to BCI system. In this paper, feature extraction method based on morphological multi-resolution analysis is introduced to extract...
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