Comparison of PSO and Sequential Search Algorithms for Improvisation of Entropy-Based Ear Localization

Author(s):  
D. Abraham Chandy ◽  
Hepzibah A. Christinal ◽  
Rakhi Chandrasekaran ◽  
Deepthy Mary Alex
2004 ◽  
Vol 1 (1) ◽  
pp. 30-38
Author(s):  
M. Salleras ◽  
J. Palacin ◽  
I. García ◽  
M. Puig ◽  
J. Samitier ◽  
...  

In this work, a methodology to extract dynamic multiport compact thermal model from finite element model (FEM) thermal simulations is presented. The proposed methodology is applied to an innovative silicon microthruster. The boundary conditions of the FEM model have been estimated from experimental measurements. The analysis of these transients with the methodology presented delivers a dynamic multiport compact RC model representation of the complete structure. The topology and sizing of the components is provided by a hybrid combination of Sequential Search algorithms together with nonlinear least squares optimization.


1982 ◽  
Vol 11 (3) ◽  
pp. 557-566 ◽  
Author(s):  
Aaron M. Tenenbaum ◽  
Richard M. Nemes

2021 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Yuri Rahmanto ◽  
Joni Alfian ◽  
Damayanti Damayanti ◽  
Rohmat Indra Borman

Abstract. Application of Sequential Search Algorithms in the Plant Scientific Language Dictionary Application. Scientific dictionaries such as plants dictionaries are thick and less attractive. Therefore, it is necessary to develop a scientific language dictionary application for plant which is attractive and can be accessed anytime and anywhere. The dictionary application is closely related to the search feature and the sequential search algorithm is used in the search feature at the application development. This algorithm performs the search by matching data in a row from all existing data. The application built had features such as a list of plants with scientific names equipped with A-Z alphabet menus, plant categories, and a search feature to make it easier for users to find the plant names. The results of the search speed performance test based on page load time with the microtime function show that sequential search algorithms can perform the searches quickly for relatively limited and not too much data.Keywords: Scientific Language Dictionary, Plant Dictionary, Sequential SearchAbstrak. Kamus ilmiah seperti kamus ilmiah tumbuhan berbentuk tebal dan kurang menarik. Oleh karena itu, diperlukan pengembangan aplikasi kamus Bahasa ilmiah tumbuhan yang menarik dan dapat diakses kapanpun dan dimanapun. Aplikasi kamus akan berhubungan erat dengan pencarian dan algoritma sequential search digunakan sebagai fitur pencarian pada pengembangan aplikasi kamus bahasa ilmiah tumbuhan ini. Algoritma ini melakukan pencarian dengan mecocokan data secara beruntun dari seluruh data yang ada. Aplikasi yang dibangun memiliki fitur-fitur seperti daftar tumbuhan dengan nama ilmiah yang dilengkapi menu abjad A-Z , kategori tumbuhan, dan fitur pencarian untuk memudahkan pengguna dalam menemukan nama tumbuhan. Hasil pengujian kecepatan pencarian berdasarkan page load time dengan fungsi microtime menunjukkan bahwa algortima sequential search dapat melakukan pencarian dengan cepat untuk data yang relatif terbatas atau tidak terlalu banyak.Kata Kunci: Kamus Bahasa Ilmiah, Kamus Tumbuhan, Sequential Search


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