scholarly journals Algorithm Research and Implementation Based on Component Optical Detection System

2021 ◽  
Vol 2066 (1) ◽  
pp. 012019
Author(s):  
Yongming She

Abstract With the development of the times, gradually there is a new thing called electronic components born. Electronic components are collectively called components of electronic components and small machine instruments, such as diodes used in light bulbs. Components can be used in optical inspection systems, but they require some help from computer technology. Therefore, the purpose of this paper is to use algorithms to study component-based optical detection systems. After consulting the literature on components and optical detection systems, we analyzed the suitability of components and optical inspection systems by constructing different systems using a variety of algorithms. The experimental results show that the traditional ant colony algorithm is better than the AdaBoost algorithm and the genetic algorithm, so we finally choose to use the ant colony algorithm to construct the optical detection system.

2021 ◽  
Vol 5 (2) ◽  
pp. 11-19
Author(s):  
Yadgar Sirwan Abdulrahman

As information technology grows, network security is a significant issue and challenge. The intrusion detection system (IDS) is known as the main component of a secure network. An IDS can be considered a set of tools to help identify and report abnormal activities in the network. In this study, we use data mining of a new framework using fuzzy tools and combine it with the ant colony optimization algorithm (ACOR) to overcome the shortcomings of the k-means clustering method and improve detection accuracy in IDSs. Introduced IDS. The ACOR algorithm is recognized as a fast and accurate meta-method for optimization problems. We combine the improved ACOR with the fuzzy c-means algorithm to achieve efficient clustering and intrusion detection. Our proposed hybrid algorithm is reviewed with the NSL-KDD dataset and the ISCX 2012 dataset using various criteria. For further evaluation, our method is compared to other tasks, and the results are compared show that the proposed algorithm has performed better in all cases.


2015 ◽  
Vol 52 (12) ◽  
pp. 121701
Author(s):  
王宇 Wang Yu ◽  
郝鹏 Hao Peng ◽  
武俊峰 Wu Junfeng ◽  
徐阳 Xu Yang ◽  
邓永波 Deng Yongbo ◽  
...  

2010 ◽  
Vol 26 (1) ◽  
pp. 289-294 ◽  
Author(s):  
Pei-Hsiang Tsou ◽  
Harini Sreenivasappa ◽  
Sungmin Hong ◽  
Masayuki Yasuike ◽  
Hiroshi Miyamoto ◽  
...  

2006 ◽  
Author(s):  
W. Meulebroeck ◽  
H. Ottevaere ◽  
K. Scheir ◽  
D. Clicq ◽  
G. Desmet ◽  
...  

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