A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number

Author(s):  
Davide Bacciu ◽  
Antonina Starita
2014 ◽  
Vol 989-994 ◽  
pp. 2431-2437
Author(s):  
Wei Su ◽  
Xue Zhang ◽  
Jia Jing Xu

In view of the discretization of continuous attributes of civil aviation radar intelligence data, this paper proposes a fuzzy partition algorithm of continuous attributes based on weighted index and optimization of clustering number, and its automatic determination of optimal weighted index m and optimal clustering number c overcomes the shortcomings of current attribute fuzzy methods of manual determination of classification number and no consideration of geometry data. The experimental results verify the validity and feasibility of fuzzy attribute discretization of civil aviation radar intelligence data characteristics.


2000 ◽  
Vol 28 (1-2) ◽  
pp. 237-245 ◽  
Author(s):  
Nasser Hosseini ◽  
Blanka Hejdukova ◽  
Pall E. Ingvarsson ◽  
Bo Johnels ◽  
Torsten Olsson

Author(s):  
Romain Desplats ◽  
Timothee Dargnies ◽  
Jean-Christophe Courrege ◽  
Philippe Perdu ◽  
Jean-Louis Noullet

Abstract Focused Ion Beam (FIB) tools are widely used for Integrated Circuit (IC) debug and repair. With the increasing density of recent semiconductor devices, FIB operations are increasingly challenged, requiring access through 4 or more metal layers to reach a metal line of interest. In some cases, accessibility from the front side, through these metal layers, is so limited that backside FIB operations appear to be the most appropriate approach. The questions to be resolved before starting frontside or backside FIB operations on a device are: 1. Is it do-able, are the metal lines accessible? 2. What is the optimal positioning (e.g. accessing a metal 2 line is much faster and easier than digging down to a metal 6 line)? (for the backside) 3. What risk, time and cost are involved in FIB operations? In this paper, we will present a new approach, which allows the FIB user or designer to calculate the optimal FIB operation for debug and IC repair. It automatically selects the fastest and easiest milling and deposition FIB operations.


2017 ◽  
Vol 80 (16-18) ◽  
pp. 932-940 ◽  
Author(s):  
Raymond Nepstad ◽  
Emlyn Davies ◽  
Dag Altin ◽  
Trond Nordtug ◽  
Bjørn Henrik Hansen

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