On the application of fuzzy-based flow control approach to High Altitude Platform communications

Basicevic, Ilija; Kukolj, Dragan; Popović, Miroslav

doi:10.1007/s10489-009-0190-y

Cited by 11 publications

(6 citation statements)

References 26 publications

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“…An example of this kind of fuzzy inference system is shown in [4][5][6] and [21] for the control of a Heating, Ventilating and Air Conditioning System. FRBSs are used in processes such as, industrial control [49], robotics control [2] or control in communications [9].…”

Section: Methodology Based On Fbrssmentioning

confidence: 99%

Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments

et al. 2010

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A fundamental problem for disabled or elderly people is to manage their homes while carrying out an almost normal life, which implies using and interacting with a number of home devices. Recent studies in smart homes have proposed methods to use a laser pointer for interacting with home devices, which represents a more user-friendly and less expensive home device control environment. However, detecting the laser spot on the original non-filtered images, using standard and non-expensive cameras, and considering real home environments with varying conditions, is currently an open problem.This paper proposes a hybrid technique, where a classic technique used in image detection processes, such as Template Matching, has been combined with a Fuzzy Rule

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Section: Methodology Based On Fbrssmentioning

confidence: 99%

Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments

et al. 2010

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“…Furthermore, the number of rules can be much smaller in this approach than in the Mamdani fuzzy model is applied, even for complex systems, as described in [19]. The TSK model has already been successfully applied to a number of real-world problems such as the approximation of a static non-linear function, stock market predictions, predictions of natural gas consumption, estimation of DC motor speed [20] and TCP throughput control [21], to mention only a few.…”

Section: Tsk Fuzzy Neural Network Synthesismentioning

confidence: 99%

Evaluation of Takagi-Sugeno-Kang fuzzy method in entropy-based detection of DDoS attacks

et al. 2018

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The detection of distributed denial of service (DDoS) attacks based on internet traffic anomalies is a method which is general in nature and can detect unknown or zero-day attacks. One of the statistical characteristics used for this purpose is network traffic entropy: a sudden change in entropy may indicate a DDoS attack. However, this approach often gives false positives, and this is the main obstacle to its wider deployment within network security equipment. In this paper, we propose a new, two-step method for detection of DDoS attacks. This method combines the approaches of network traffic entropy and the Takagi-Sugeno-Kang fuzzy system. In the first step, the detection process calculates the entropy distribution of the network packets. In the second step, the Takagi-Sugeno-Kang fuzzy system (TSK-FS) method is applied to these entropy values. The performance of the TSK-FS method is compared with that of the typically used approach, in which cumulative sum (CUSUM) change point detection is applied directly to entropy time series. The results show that the TSK-FS DDoS detector reaches enhanced sensitivity and robustness in the detection process, achieving a high true-positive detection rate and a very low false-positive rate. As it is based on entropy, this combined method retains its generality and is capable of detecting various types of attack.

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“…An example of this kind of fuzzy inference system is shown in 3 , 4 , 5 and 22 for the control of a Heating, Ventilating and Air Conditioning System. FRBSs are used in processes such as, industrial control 61 , robotics control 1 or control in communications 8 .…”

Section: Extending the Frbs Model By Including Color Detection And Aumentioning

confidence: 99%

Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems

Chávez¹,

Fernandez²,

Gacto³

et al. 2012

IJCIS

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In this paper we propose a new approach for laser-based environment device control systems based on the automatic design of a Fuzzy Rule-Based System for laser pointer detection. The idea is to improve the success rate of the previous approaches decreasing as much as possible the false offs and increasing the success rate in images with laser spot, i.e., the detection of a false laser spot (since this could lead to dangerous situations). To this end, we propose to analyze both, the morphology and color of a laser spot image together, thus developing a new robust algorithm. Genetic Fuzzy Systems have also been employed to improve the laser spot system detection by means of a fine tuning of the involved membership functions thus reducing the system false offs, which is the main objective in this problem. The system presented in this paper, makes use of a Fuzzy Rule-Based System adjusted by a Genetic Algorithm, which, based on laser morphology and color analysis, shows a better success rate than previous approaches.

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On the application of fuzzy-based flow control approach to High Altitude Platform communications

Cited by 11 publications

References 26 publications

Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments

Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments

Evaluation of Takagi-Sugeno-Kang fuzzy method in entropy-based detection of DDoS attacks

Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems

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