Maximizing the performance of search technique in analyzing the online product

2016 ◽  
Author(s):  
M Sowmya ◽  
K. S. Selvanayaki ◽  
Rajeswari ◽  
Ruthra Priya
Keyword(s):  
Search Technique

Pruned-trellis search technique for high-rate convolutional codes

1989 ◽  
Vol 136 (5) ◽  
pp. 405 ◽  
Author(s):  
J. Sun ◽  
I.S. Reed ◽  
H.E. Huey ◽  
T.K. Truong
Keyword(s):  
Convolutional Codes ◽  
High Rate ◽  
Search Technique

Quantification of thermal energy generation in annular hyperbolic porous-finned heat sinks using inverse optimization

2021 ◽  
pp. 095440892110243
Author(s):  
Sagnik Pal ◽  
Ranjan Das
Keyword(s):  
Heat Transfer ◽  
Surface Temperature ◽  
Heat Generation ◽  
Thermal Energy ◽  
Inverse Method ◽  
Golden Section ◽  
Energy Generation ◽  
Heat Sinks ◽  
Search Technique ◽  
Golden Section Search

The present paper introduces an accurate numerical procedure to assess the internal thermal energy generation in an annular porous-finned heat sink from the sole assessment of surface temperature profile using the golden section search technique. All possible heat transfer modes and temperature dependence of all thermal parameters are accounted for in the present nonlinear model. At first, the direct problem is numerically solved using the Runge–Kutta method, whereas for predicting the prevailing heat generation within a given generalized fin domain an inverse method is used with the aid of the golden section search technique. After simplifications, the proposed scheme is credibly verified with other methodologies reported in the existing literature. Numerical predictions are performed under different levels of Gaussian noise from which accurate reconstructions are observed for measurement error up to 20%. The sensitivity study deciphers that the surface temperature field in itself is a strong function of the surface porosity, and the same is controlled through a joint trade-off among heat generation and other thermo-geometrical parameters. The present results acquired from the golden section search technique-assisted inverse method are proposed to be suitable for designing effective and robust porous fin heat sinks in order to deliver safe and enhanced heat transfer along with significant weight reduction with respect to the conventionally used systems. The present inverse estimation technique is proposed to be robust as it can be easily tailored to analyse all possible geometries manufactured from any material in a more accurate manner by taking into account all feasible heat transfer modes.

Searching for the Random Walking microorganism cells

2019 ◽  
Vol 12 (06) ◽  
pp. 1950064 ◽  
Author(s):  
Mohamed Abd Allah El-Hadidy ◽  
Hamdy M. Abou-Gabal
Keyword(s):  
Expected Value ◽  
Random Walking ◽  
Search Technique ◽  
Cooperative Search ◽  
Search Plan ◽  
Unit Speed ◽  
Text Unit

In this paper, we present a complex cooperative search technique for finding the Random Walking microorganism cells on one of [Formula: see text]-intersect real lines at the origin. We have 2[Formula: see text] unit speed searchers starting together from the origin. Furthermore, proving the existence of a finite search plan, we are discussing the existence of optimality for this search plan which minimizes the expected value of the first meeting time between one of the searchers and the microorganism cells.

An Accelerated Sequential Simplex Search Technique

1973 ◽  
Vol 5 (2) ◽  
pp. 127-134 ◽  
Author(s):  
William E. Biles
Keyword(s):  
Search Technique ◽  
Simplex Search

A search technique for rule extraction from trained neural networks

1999 ◽  
Vol 20 (3) ◽  
pp. 273-280 ◽  
Author(s):  
R. Krishnan ◽  
G. Sivakumar ◽  
P. Bhattacharya
Keyword(s):  
Neural Networks ◽  
Rule Extraction ◽  
Search Technique

AN EFFICIENT APPROACH FOR FACE DETECTION AND FACIAL FEATURE LOCATION USING PRUNE-AND-SEARCH TECHNIQUE

2004 ◽  
Vol 18 (06) ◽  
pp. 987-1005 ◽  
Author(s):  
CHIN-CHEN CHANG ◽  
YUAN-HUI YU
Keyword(s):  
Face Detection ◽  
Facial Feature ◽  
Facial Features ◽  
Base Line ◽  
Human Face ◽  
Feature Location ◽  
Search Technique ◽  
Efficient Approach ◽  
Human Face Detection ◽  
Geometric Knowledge

This paper proposes an efficient approach for human face detection and exact facial features location in a head-and-shoulder image. This method searches for the eye pair candidate as a base line by using the characteristic of the high intensity contrast between the iris and the sclera. To discover other facial features, the algorithm uses geometric knowledge of the human face based on the obtained eye pair candidate. The human face is finally verified with these unclosed facial features. Due to the merits of applying the Prune-and-Search and simple filtering techniques, we have shown that the proposed method indeed achieves very promising performance of face detection and facial feature location.

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