Smart Cities System Design Method Based on Case Based Reasoning

2016 ◽  
pp. 43-58 ◽  
Author(s):  
Cezary Orłowski ◽  
Artur Ziółkowski ◽  
Aleksander Orłowski ◽  
Paweł Kapłański ◽  
Tomasz Sitek ◽  
...  
Keyword(s):  
System Design ◽  
Design Method ◽  
Smart Cities ◽  
Case Based Reasoning ◽  
Case Based

CAFixD: A Case-Based Reasoning Fixture Design Method. Framework and Indexing Mechanisms

2005 ◽  
Vol 6 (1) ◽  
pp. 40-48 ◽  
Author(s):  
Iain M. Boyle ◽  
Kevin Rong ◽  
David C. Brown
Keyword(s):  
Design Method ◽  
Critical Issue ◽  
Design Solution ◽  
Case Based Reasoning ◽  
Fixture Design ◽  
Functional Requirements ◽  
Rigorous Approach ◽  
Machining Operations ◽  
Case Based ◽  
Individual Requirement

Fixtures accurately locate and secure a part during machining operations. Various computer-aided fixture design (CAFD) methods have been developed to reduce design costs associated with fixturing. One approach uses a case-based reasoning (CBR) method where relevant design experience is retrieved from a design library and adapted to provide a new design solution. Indexing design cases is a critical issue in CBR, and CBR systems can suffer from an inability to distinguish between cases if indexing is inadequate. This paper presents CAFixD, a CAFD methodology that adopts a rigorous approach to defining indexing attributes based upon axiomatic design functional requirement decomposition. A design requirement is decomposed in terms of functional requirements, physical solutions are retrieved and adapted for each individual requirement, and the design is then reconstituted to form a complete fixture design. This paper presents the CAFixD framework and operation, and discusses in detail the indexing mechanisms used.

scholarly journals Extension Method in Case-Based Reasoning and its Application in Artillery System Design

2019 ◽  
Vol 1302 ◽  
pp. 042055
Author(s):  
Shubin Zhao ◽  
Cheng Xu
Keyword(s):  
System Design ◽  
Case Based Reasoning ◽  
Extension Method ◽  
Case Based

An Information System Design for Coaching Students by Using Case-Based Reasoning (CBR)

2008 ◽  
Author(s):  
Ana Lidia Franzoni Velazquez ◽  
Andres Gomez de Silva Garza ◽  
Francisco Cervantes Perez
Keyword(s):  
Information System ◽  
System Design ◽  
Case Based Reasoning ◽  
Information System Design ◽  
Case Based

Signal Conditioning Circuit Design Method Based on Case-Based Reasoning

2010 ◽  
Vol 171-172 ◽  
pp. 719-722
Author(s):  
Xiao Li Xu ◽  
Qiu Shuang Liu
Keyword(s):  
Circuit Design ◽  
Partial Information ◽  
Design Method ◽  
Case Based Reasoning ◽  
Signal Conditioning ◽  
Correlation Degree ◽  
Case Base ◽  
Signal Conditioning Circuit ◽  
Conditioning Circuit ◽  
Case Based

In order to improve the R&D speed of instrument and to reduce the R&D cycle, this paper presents a signal conditioning circuit design method based on case-based reasoning (CBR). The case base stores a number of case circuits, and each circuit’s feature information is described by a set containing at least one information entity; the description methods include: according to the user’s description information on the to-be-generated circuit, generate the first information entity set of to-be-generated circuit; take the first information entity set as the search keywords, search from the case base the case circuit of all or partial information entities of the circuit to be generated; according to the degree of correlation between the preset information entity and the case circuit, obtain the degree of correlation between the first information entity set and the searched case circuit; from the said case circuits searched, select the case circuit whose correlation degree is larger than the correlation threshold value as the target circuit; output the target circuit; through accepting the users’ modification of target circuit, obtain the circuit to be generated. Experimental results show: signal conditioning circuit image generation method, which is based on case reasoning, can effectively improve the efficiency of research and development.

CAFixD: A Case-Based Reasoning Fixture Design Method — Framework and Indexing Mechanisms

2004 ◽  
Author(s):  
Iain M. Boyle ◽  
Kevin Rong ◽  
David C. Brown
Keyword(s):  
Design Method ◽  
Critical Issue ◽  
Design Solution ◽  
Case Based Reasoning ◽  
Fixture Design ◽  
Functional Requirements ◽  
Rigorous Approach ◽  
Machining Operations ◽  
Case Based ◽  
Individual Requirement

Fixtures accurately locate and secure a part during machining operations such that the part can be manufactured to design specifications. To reduce design costs associated with fixturing, various computer-aided fixture design (CAFD) methods have been developed through the years to assist the fixture designer. One approach is to use a case-based reasoning (CBR) method where relevant design experience is retrieved from a design library, and adapted to provide a new fixture design solution. Indexing design cases is a critical issue in any CBR approach, and CBR systems can suffer from an inability to distinguish between cases if indexing is inadequate. This paper presents a CAFD methodology, entitled CAFixD, that adopts a rigorous approach to defining indexing attributes in which axiomatic design functional requirement decomposition is adopted. Thus, a design requirement is decomposed in terms of functional requirements, physical solutions are retrieved and adapted for each individual requirement, and the design is then re-constituted to form a complete fixture design. Furthermore, adaptability is used as the basis by which designs are retrieved in place of the normal attribute similarity approach, which can sometimes return a case that is difficult or impossible to fix. This paper presents the CAFixD framework and operation, and discusses in detail the indexing mechanisms used.

Case-Based Reasoning Rapid Design Approach for CNC Turret

2013 ◽  
Vol 819 ◽  
pp. 304-310 ◽  
Author(s):  
Hai Qiao Wang ◽  
Bei Bei Sun ◽  
Xian Fa Shen
Keyword(s):  
Design Process ◽  
Design Method ◽  
Similarity Measurement ◽  
Case Based Reasoning ◽  
Case Retrieval ◽  
Measurement Models ◽  
Rapid Design ◽  
Different Types ◽  
Case Based ◽  
Attribute Type

In order to provide more efficient knowledge services in the CNC turret design process, a rapid design method of a case-based reasoning is proposed. Firstly, according to different types of demand in case retrieval, the similarity measurement models for crisp and fuzzy attribute type demands are constructed respectively. Secondly, in the weights assignment, this paper utilized the deviation information of similarity values to calculate objective weights, and then combined the objective weights and subjective weights to form synthesis weights. Finally, the similarity measurement and weights coefficient assignment methods were applied in a CNC turret design CBR system, and using the calculation function of MATLAB. It was demonstrated that this method could improve the accuracy of case retrieval.

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