Application of Case Based Reasoning in Technology Industry Competency Development

2013 ◽  
Vol 433-435 ◽  
pp. 2351-2358
Author(s):  
Hui Ling Hsu ◽  
Li Chung Chao

This study aims to assist the semiconductor assembly and testing industry in finding the best way of talent training. Firstly, the analysis of competency designs the training path according to engineers' different realms, introduces Case-Based Reasoning (CBR) combined with courses of the analysis of competency. Then, after the interview of professional engineers regarding their experiences, we analyze the courses' main factors, the degree of demand of instituting the courses, and finally set up the knowledge database of talent training. The results will inspire the training path for automation equipment and process and act as reference for the human resources department, reducing discrepancies between the tech and management department for required skills to equipment and manufacturing processing and enhancing the productive output.

2006 ◽  
Vol 315-316 ◽  
pp. 696-700
Author(s):  
Ke Jun Xiang ◽  
Zhan Qiang Liu ◽  
Xing Ai

First, the problems in cutting database are analyzed and primary factors that should be considered in establishing high-speed cutting database are pointed out, including data presenting modes, data collecting and updating, the intelligence of the database, and the integration with CAD, CAPP and CAM. Secondly, high-speed cutting system is analyzed. On the basis of the categorization of the variables, the function model and the information model of cutting database are set up, which leads to the establishment of the architecture of high-speed cutting database. Finally, the combination mechanism of the rule-based reasoning and the case-based reasoning is analyzed and the process of the hybrid reasoning is given.


2016 ◽  
Vol 51 ◽  
pp. S185-S186
Author(s):  
W. Raskob ◽  
S. Möhrle ◽  
S. Bai

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 132-139
Author(s):  
Ivan E. Kurilenko ◽  
◽  
Igor E. Nikonov ◽  

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.


2018 ◽  
Vol 6 (1) ◽  
pp. 266-274
Author(s):  
D. Teja Santosh ◽  
◽  
K.C. Ravi Kumar ◽  
P. Chiranjeevi ◽  
◽  
...  

2020 ◽  
Vol 11 (2) ◽  
pp. 57-63
Author(s):  
Didik Trisulo ◽  
Setyawan Wibisono

Kesehatan merupakan hal yang paling berharga bagi manusia, karena siapa saja rentan mengalami gangguan kesehatan. Anak sangat rentan terhadap kuman penyakit dan kepekaan terhadap gejala suatu penyakit merupakan ketakutan sendiri bagi orang tua. Orang tua merupakan orang awam terhadap dunia kesehatan. Sehingga dalam hal ini di bidang kesehatan lebih membutuhkan seorang pakar yang bisa memudahkan mendiagnosa suatu penyakit lebih cepat agar orang tua dapat melakukan pencegahan lebih awal yang sekiranya bisa membutuhkan waktu lebih lama jika berkonsultasi dengan dokter ahli. Tujuan dari penelitian ini adalah merancang dan sistem pakar untuk diagnosa penyakit anak dengan metode cased-based reasoning dengan algoritma similarity jaccard pada Puskesmas Halmahera Semarang sehingga membantu memberikan informasi tentang diagnosa penyakit anak pada Puskesmas Halmahera Semarang berbasis web.         Perancangan sistem pakar untuk diagnosa penyakit anak dengan metode cased-based reasoning dengan algoritma similarity jaccard pada Puskesmas Halmahera Semarang ini dibuat dengan menggunakan tools seperti PHP, Xampp, Bootstrap.                 Hasil sistem pakar untuk diagnosa penyakit anak dengan metode cased-based reasoning dengan algoritma similarity jaccard pada Puskesmas Halmahera Semarang dapat membantu memberikan informasi tentang diagnosa penyakit anak pada Puskesmas Halmahera Semarang  


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