A new method based on morphologic filter and ant colony algorithm to enhance centroid detection accuracy of Shack-Hartmann wavefront sensor

2008 ◽  
Author(s):  
Yanyan Zhang ◽  
Mei Li ◽  
Changhui Rao
Keyword(s):  
Ant Colony Algorithm ◽  
Ant Colony ◽  
New Method ◽  
Wavefront Sensor ◽  
Detection Accuracy ◽  
Centroid Detection

scholarly journals Network Intrusion Detection using a Combination of Fuzzy Clustering and Ant Colony Algorithm

2021 ◽  
Vol 5 (2) ◽  
pp. 11-19
Author(s):  
Yadgar Sirwan Abdulrahman
Keyword(s):  
Intrusion Detection ◽  
Ant Colony Algorithm ◽  
Optimization Problems ◽  
Detection System ◽  
Ant Colony ◽  
Detection Accuracy ◽  
Ant Colony Optimization Algorithm ◽  
Network Intrusion ◽  
Secure Network ◽  
Main Component

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.

Optimization Design of Self-Balacing Torsion Bar Diameter

2011 ◽  
Vol 308-310 ◽  
pp. 2486-2489
Author(s):  
Zhi Qi Huang
Keyword(s):  
Optimization Model ◽  
Optimization Design ◽  
Ant Colony Algorithm ◽  
The Self ◽  
Ant Colony ◽  
New Method ◽  
C Language ◽  
Torsion Bar ◽  
Bar Diameter ◽  
Theoretical Results

The thesis builds the optimization model for the self-balacing torsion bar, On the basis of the Ant Colony Algorithm, designs the Ant Colony Algorithm procedure using C Language and optimizes torsion bar diameter. Results show the Ant Colony Algorithm is feasible and provides a new method choosing torsion bar diameter. The max difference value is 1.12% between optimizing results and theoretical results.

A New Method For Text Location in News Video Based on Ant Colony Algorithm

2014 ◽  
Vol 9 (5) ◽  
Author(s):  
Ming Jiang ◽  
Taotao Zha ◽  
Xingqi Wang ◽  
Jingfan Tang ◽  
Chunming Wu
Keyword(s):  
Ant Colony Algorithm ◽  
Ant Colony ◽  
New Method ◽  
News Video ◽  
Text Location

Detection of Faulty Measurements in WBANs using Gaussian Mixture Model and Ant Colony

2014 ◽  
Vol 5 (4) ◽  
pp. 20-38
Author(s):  
Osman Salem ◽  
Yaning Liu ◽  
Ahmed Mehaoua
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Ant Colony Algorithm ◽  
Gaussian Mixture ◽  
Base Station ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Physiological Data ◽  
Detection Accuracy ◽  
Clinical Emergency

Wireless sensor networks are subject to different types of faults and interferences after their deployment. Abnormal values reported by sensors should be separated from faulty or injected measurements to ensure reliable monitoring operation. The aim of this paper is to propose a lightweight approach for the detection and suppression of faulty measurements in medical wireless sensor networks. The proposed approach is based on the combination of statistical model and machine learning algorithm. The authors begin by collecting physiological data and then they cluster the data collected during the first few minutes using the Gaussian mixture decomposition. They use the resulted labeled data as the input for the Ant Colony algorithm to derive classification rules in the central base station. Afterward, the derived rules are transmitted and installed in each associated sensor to detect abnormal values in distributed manner, and notify anomalies to the base station. Finally, the authors exploit the spatial and temporal correlations between monitored attributes to differentiate between faulty sensor readings and clinical emergency. They evaluate their approach with real and synthetic patient datasets. The experimental results demonstrate that their proposed approach achieves a high rate of detection accuracy for clinical emergency with reduced false alarm rate when compared to robust Mahalanobis distance.

A New Method of Product Configuration for Customization System into Supply Chain

2011 ◽  
Vol 121-126 ◽  
pp. 3870-3874
Author(s):  
Xue Yan Sun ◽  
Xing Yu Jiang ◽  
Shi Jie Wang ◽  
Xin Min Zhang
Keyword(s):  
Supply Chain ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
New Method ◽  
Product Configuration ◽  
Configuration Model ◽  
Solution Quality ◽  
Complex Product ◽  
Product Configuration Model ◽  
Improved Ant Colony Algorithm

To establish the configuration relations of complex product in the process of customization into supply chain, a new method of product configuration based on polychromatic graph theory was put forward. Then the optimum product structure configuration mathematical model was got and the improved ant colony algorithm was employed to solve the problem. The results showed that the solution quality got by improved ant colony algorithm was better than the solution got by traditional ant colony algorithm, and the product configuration model can exactly present the configuration information, product attribute and assembly relation for complex product. The customization system offers a kind of new way to meet customers’ requirements that the customers are eager for consumption of varieties, small batch production, short cycle and high quality.

Ant Colony Algorithm: A New Method Choosing Torsion Bar Diameter

2011 ◽  
Vol 339 ◽  
pp. 295-298
Author(s):  
Pin Yang Rao
Keyword(s):  
Ant Colony Algorithm ◽  
Simple Structure ◽  
Deformation Energy ◽  
The Self ◽  
Ant Colony ◽  
New Method ◽  
Light Weight ◽  
Maximum Deformation ◽  
Torsion Bar ◽  
Bar Diameter

The torsion bar is one of the major parts of converter tilting mechanism and is widely used for light weight, large energy stored in unit mass, simple structure, convenient arrangement without maintenance demand, etc. Results not only show the Ant Colony Algorithm is feasible and provides a new method choosing torsion bar diameter but also is satisfied.Based on maximum deformation energy and not exceeding the allowable stress values of a torsion-bar spring, the thesis builds the optimization model for the self-balancing torsion bar.

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