A mathematical Model for Selecting Features of Flooding Attacks Detection Methods based on Stability Criterion

2019 ◽  
Author(s):  
Abdulaziz Aborujilah ◽  
Nor Azlina Ali ◽  
Rasheed Mohammad Nassr ◽  
Mohd Nizam Husen ◽  
AbdulAleem Al- Othmani ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Stability Criterion ◽  
Detection Methods ◽  
Flooding Attacks

Walking Stability Analysis of Multi-Legged Crablike Robot over Slope

2013 ◽  
Vol 572 ◽  
pp. 636-639
Author(s):  
Xi Chen ◽  
Gang Wang
Keyword(s):  
Mathematical Model ◽  
Stability Analysis ◽  
Stability Criterion ◽  
Stability Margin ◽  
Static Stability ◽  
Matlab Simulation ◽  
And Performance ◽  
The Stability ◽  
The Mathematical Model ◽  
The Relationship

This paper deals with the walking stability analysis of a multi-legged crablike robot over slope using normalized energy stability margin (NESM) method in order to develop a common stabilization description method and achieve robust locomotion for the robot over rough terrains. The robot is simplified with its static stability being described by NESM. The mathematical model of static stability margin is built so as to carry out the simulation of walking stability over slope for the crablike robot that walks in double tetrapod gait. As a consequence, the relationship between stability margin and the height of the robots centroid, as well as its inclination relative to the ground is calculated by the stability criterion. The success and performance of the stability criterion proposed is verified through MATLAB simulation and real-world experiments using multi-legged crablike robot.

Simulation Study of the MOA Resistive Leakage Current Detection Method

2013 ◽  
Vol 655-657 ◽  
pp. 177-184
Author(s):  
Xian Bin Dai ◽  
Xiao Hua Yuan ◽  
Wen Yao Sun ◽  
Xin Liu
Keyword(s):  
Mathematical Model ◽  
Leakage Current ◽  
Detection Method ◽  
Detection Methods ◽  
Surge Arresters ◽  
Coupling Capacitor ◽  
On Line ◽  
Harmonic Voltage ◽  
The Impact ◽  
Current Detection

On-line monitoring of the insulating state of metal oxide surge arresters (MOA) is monitoring its resistive leakage current. This paper analyses the common detection methods of resistive current, pointed out the problems. According to the relationship among the grid voltage and the flow through the leakage current of MOA, the resistive and capacitive current, put forward a new resistive leakage current detection method, and established a mathematical model. Using this mathematical model, new detection method can be verified by simulation. Confirmed that the new method can effectively reduce the impact of the power grid of the third harmonic voltage and phase coupling capacitor, this create a precise measurement for MOA resistance current online testing.

scholarly journals PSO-Particle Filter-Based Biometric Measurement for Human Tracking

2012 ◽  
Vol 16 (4) ◽  
pp. 533-539
Author(s):  
Zhenyuan Xu ◽  
◽  
Junzo Watada
Keyword(s):  
Mathematical Model ◽  
Particle Filter ◽  
Great Accuracy ◽  
Detection Methods ◽  
Human Tracking ◽  
Surveillance Systems ◽  
Height Measurement ◽  
Swarm Optimization ◽  
Tracking Method ◽  
Biometric Features

Today, security and surveillance systems are required not only to track the motions of humans but also, in some situations, to recognize and measure biometric features such as width and length. Few methods have been proposed for biometric height measurement in human tracking. Some studies have shown that an infrared ray technique can survey the height of a human, but the equipment required is complicated. The objective of this paper is to build a mathematical model to measure the biometrics of human tracking. This tracking method can show humans’ and objects’ size in a picture so that, if we put this picture in a frame of axes, we can calculate the height and other biometric lengths. To obtain the most accurate results for biometric length surveillance, we need a tracking method that is more exact than conventional tracking results. Combining tracking and detection methods using a particle swarm optimization-particle filter shows results with great accuracy in human tracking.

A Novel Approach in the Detection of Chipless RFID

2012 ◽  
pp. 218-233 ◽  
Author(s):  
Prasanna Kalansuriya ◽  
Nemai Chandra Karmakar ◽  
Emanuele Viterbo
Keyword(s):  
Mathematical Model ◽  
Digital Communication ◽  
Point Of View ◽  
Detection Methods ◽  
Signal Space ◽  
Rfid Tag ◽  
Robust Detection ◽  
Novel Approach ◽  
Chipless Rfid ◽  
Proposed Model

This chapter presents a different perspective on the chipless RFID system where the chipless RFID detection problem is viewed in terms of a digital communication point of view. A novel mathematical model is presented, and a novel approach to detection is formulated based on the model. The chipless RFID tag frequency signatures are visualized as points in a signal space. Although data bits are stored in the tags using unconventional techniques, the proposed model enables the detection of these data bits through conventional robust detection methods. Through simulations it is shown that the proposed detection method has better performance compared to contemporary detection approaches.

Measurement Model and Simulation of Soil Nitrate Nitrogen Based on Ion Selective Electrode

2013 ◽  
Vol 718-720 ◽  
pp. 657-662
Author(s):  
Li Zhang ◽  
Zhi Kai Chang ◽  
Shang Feng Du
Keyword(s):  
Mathematical Model ◽  
Nitrate Nitrogen ◽  
Low Cost ◽  
Measurement Model ◽  
Temperature Correction ◽  
Detection Methods ◽  
Soil Nitrate ◽  
Grass Roots ◽  
Measurement Models ◽  
Model And Simulation

The existing conventional detection methods ofnitrate nitrogenmostly consume time, cost a lot of moneyand need professionals. This limits the application of soil testing and fertilization technology at the grass-roots level. Therefore, a kind of fast, low-cost and simple operated method of soil nitrate nitrogen is in urgent need. The research of measurement models based on electrochemical principles of soil nitrate nitrogen is carried out in this paper to the issue ofquick access to the information of soil nitrate nitrogen. The linear regression equation is used to establish the mathematical model of electrodes and the binary quadratic regression model is used to study the temperature correction mathematical model of electrodes and finally matlab is used for datasimulation.

scholarly journals CSDSM: Cognitive switch-based DDoS sensing and mitigation in SDN-driven CDNi word

2018 ◽  
Vol 15 (1) ◽  
pp. 163-185 ◽  
Author(s):  
Nishat Mowla ◽  
Inshil Doh ◽  
Kijoon Chae
Keyword(s):  
Content Delivery ◽  
Attack Detection ◽  
Detection Methods ◽  
Support Vector ◽  
Network Resources ◽  
Content Delivery Networks ◽  
Flooding Attacks ◽  
Proposed Model ◽  
Flash Crowd ◽  
Delivery Networks

Content Delivery Networks (CDNs) are increasingly deployed for their efficient content delivery and are often integrated with Software Defined Networks (SDNs) to achieve centrality and programmability of the network. However, these networks are also an attractive target for network attackers whose main goal is to exhaust network resources. One attack approach is to over-flood the OpenFlow switch tables containing routing information. Due to the increasing number of different flooding attacks such as DDoS, it becomes difficult to distinguish these attacks from normal traffic when evaluated with traditional attack detection methods. This paper proposes an architectural method that classifies and defends all possible forms of DDoS attack and legitimate Flash Crowd traffic using a segregated dimension functioning cognitive process based in a controller module. Our results illustrate that the proposed model yields significantly enhanced performance with minimal false positives and false negatives when classified with optimal Support Vector Machine and Logistic Regression algorithms. The traffic classifications initiate deployment of security rules to the OpenFlow switches, preventing new forms of flooding attacks. To the best of our knowledge, this is the first work conducted on SDN-driven CDNi used to detect and defend against all possible DDoS attacks through traffic segregated dimension functioning coupled with cognitive classification.

Stability Analysis of a Load-Sensing Hydraulic System

1988 ◽  
Vol 202 (2) ◽  
pp. 79-88 ◽  
Author(s):  
S D Kim ◽  
H S Cho ◽  
C O Lee
Keyword(s):  
Mathematical Model ◽  
Stability Analysis ◽  
Stability Criterion ◽  
Hydraulic System ◽  
Operating Conditions ◽  
Conventional System ◽  
System Parameters ◽  
Hurwitz Stability ◽  
Load Sensing ◽  
The Stability

The load-sensing hydraulic system is an energy saving hydraulic system which improves the efficiency of transmitting power from the pump to the load. However, its stability characteristics deteriorate critically due to the addition of the load-sensing mechanism, compared with those of the conventional system. In this paper, a non-linear mathematical model of the load-sensing hydraulic system is formulated, taking into consideration the dynamics of the load-sensing pump. Based upon linearization of this model for various operating conditions, the stability analysis has been made using the Routh-Hurwitz stability criterion. The results of the theoretical stability analysis were assured through experiments. Both results show that stability is critical to the choice of system parameters such as the setting pressure of the pump compensator and the load inertia.

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