Application of Fuzzy Clustering for Selection of Coating Materials for MEMS Sensor Array

Author(s):  
Anurag Gupta ◽  
T. Sonamani Singh ◽  
R. D. S. Yadava
Author(s):  
Zeynep Sadıklar ◽  
Filiz Tavşan

People interact with surfaces in interior spaces, where a huge part of their life lasts. Many of these surfaces which surrounds the interior spaces are covering or coating materials in various textures and shapes. Materials used in interior surfaces are applied for various purposes. Protection, insulation or decoration can be considered as the main objective of these purposes.This study aims to research what kind of polymer based surface materials are used by interior designers and their reasons, frequency and area of use.  For this reason, the study is composed on a questionnaire. The questions are prepared by summarizing the polymer based material information obtained from the literature. The questionnaire participants are interior designers who are actively working in the field. With this group, a survey on selection of plastic materials has been made. Survey results are explained in the findings. The last chapter includes the conclusions and recommendations of the study.Keywords: Interior design, surface materials, plastics, polymers. 


2010 ◽  
Author(s):  
Stephen van der Velden ◽  
Ian Powlesland ◽  
Jugdutt Singh
Keyword(s):  

Author(s):  
Vicenç Torra ◽  
Yasuo Narukawa ◽  
Sadaaki Miyamoto

This special issue presents seven papers that are revised and expanded versions of papers presented at the 2nd International Conference on "Modeling Decisions for Artificial Intelligence" (MDAI). This conference, that took place in Tsukuba (Japan) in July 2005, was the second of the series of MDAI conferences that were initiated in 2004 in Barcelona (Catalonia, Spain). In April 2006, the third edition was held in Tarragona (Catalonia, Spain) and the fourth one is planned in Kitakyushu (Japan) in August 2007. These series of conferences were initiated to foster the use of decision related tools as well as information fusion technologies within artificial intelligence applications. In this issue, we present enhanced version of seven papers presented in the conference. The first paper describes a tool that uses fuzzy logic and neural networks for assigning a treatment to rheumatism. The selection of the appropriate treatment follows oriental medicine. The second paper by Wanyama and Far describes a tool for trade-off analysis to be used in those situations related with decision making in which there is no dominant solution. The third paper is devoted to autonomous mobile robots. The authors describe a multi-layered fuzzy control system for the self-localization of the robot. Two papers devoted to fuzzy clustering follow in this issue. First, one that presents a regularization approach with nonlinear membership weights. One of the proposed methods makes not only possible to perform attraction of data to clusters but also repulsion between different clusters. The second paper on clustering proposes the simultaneous application of homogeneity analysis and fuzzy clustering through the consideration of an appropriate objective function that includes two types of memberships. The sixth paper presents a tool for e-mail classification. The tool brings the name of FIS-CRM that stands for Fuzzy Interrelations and Synonymy Conceptual Representation Model. The issue finishes with a paper on meta-heuristic algorithms for a class of container loading problems. To finish this introduction, we would like to thank the referees for their work on the review process as well as to thank Prof. Hirota, Editor-in-Chief of this journal, for providing us with the opportunity to edit this special issue. The help of Kazuki Ohmori and Kenta Uchino from Fuji Technology Press Ltd. is also acknowledged.


2013 ◽  
Vol 558 ◽  
pp. 456-464
Author(s):  
Stephen van der Velden ◽  
Ian Powlesland ◽  
Steve C. Galea ◽  
Jugdutt Singh

This paper presents a dynamically reconfigurable multivariable Micro-Electro-Mechanical Systems (MEMS) sensor array, capable of reconfiguration in real time, to meet the sensing demands of unattended systems operating in highly variable environments, with an emphasis on maintaining operation of these systems in the presence of structural damage. This array is comprised of multiple instances of identical sensors which can be dynamically reconfigured to target a variety of measurands including acceleration, rotational rate, magnetic fields, temperature, air pressure and density. A simulated environment is used to illustrate how the array can be dynamically reconfigured to respond to variations in several of these parameters. Also shown are simulations that demonstrate the ability of such a sensor array to continue operation in the presence of structural damage.


Author(s):  
M. Schwaab ◽  
S. A. Reginya ◽  
A. Sikora ◽  
E. V. Abramov

2014 ◽  
Vol 614 ◽  
pp. 291-298
Author(s):  
Li Juan Gu ◽  
Biao Li ◽  
Hui Jing Sun ◽  
Chao Dong ◽  
Tao Wang

The re-examination is an important part of the graduate record examination and a basic link of assuring the student quality. Consequently, research on retest evaluation systems is significant and necessary. This paper uses fuzzy clustering analysis which is based on a reasonable membership function to analyze the graduate re-examination in military academies. Furthermore, the kin index is selected by corresponding indexes. Finally a brief and scientific evaluation index is obtained reasonably. These provide good references for the military graduate admission.


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