An Intelligent Traffic Engineering Method over Software Defined Networks for Video Surveillance Systems Based on Artificial Bee Colony

2016 ◽  
Vol 12 (4) ◽  
pp. 45-62 ◽  
Author(s):  
Reza Mohammadi ◽  
Reza Javidan
Keyword(s):  
Video Surveillance ◽  
Traffic Engineering ◽  
Surveillance System ◽  
Artificial Bee Colony ◽  
Heuristic Algorithms ◽  
Optimal Solution ◽  
Video Data ◽  
Surveillance Systems ◽  
Bee Colony

In applications such as video surveillance systems, cameras transmit video data streams through network in which quality of received video should be assured. Traditional IP based networks cannot guarantee the required Quality of Service (QoS) for such applications. Nowadays, Software Defined Network (SDN) is a popular technology, which assists network management using computer programs. In this paper, a new SDN-based video surveillance system infrastructure is proposed to apply desire traffic engineering for practical video surveillance applications. To keep the quality of received videos adaptively, usually Constraint Shortest Path (CSP) problem is used which is a NP-complete problem. Hence, heuristic algorithms are suitable candidate for solving such problem. This paper models streaming video data on a surveillance system as a CSP problem, and proposes an artificial bee colony (ABC) algorithm to find optimal solution to manage the network adaptively and guarantee the required QoS. The simulation results show the effectiveness of the proposed method in terms of QoS metrics.

An Intelligent Traffic Engineering Method Over Software Defined Networks for Video Surveillance Systems Based on Artificial Bee Colony

2019 ◽  
pp. 360-377
Author(s):  
Reza Mohammadi ◽  
Reza Javidan
Keyword(s):  
Video Surveillance ◽  
Traffic Engineering ◽  
Surveillance System ◽  
Artificial Bee Colony ◽  
Heuristic Algorithms ◽  
Optimal Solution ◽  
Video Data ◽  
Surveillance Systems ◽  
Bee Colony

In applications such as video surveillance systems, cameras transmit video data streams through network in which quality of received video should be assured. Traditional IP based networks cannot guarantee the required Quality of Service (QoS) for such applications. Nowadays, Software Defined Network (SDN) is a popular technology, which assists network management using computer programs. In this paper, a new SDN-based video surveillance system infrastructure is proposed to apply desire traffic engineering for practical video surveillance applications. To keep the quality of received videos adaptively, usually Constraint Shortest Path (CSP) problem is used which is a NP-complete problem. Hence, heuristic algorithms are suitable candidate for solving such problem. This paper models streaming video data on a surveillance system as a CSP problem, and proposes an artificial bee colony (ABC) algorithm to find optimal solution to manage the network adaptively and guarantee the required QoS. The simulation results show the effectiveness of the proposed method in terms of QoS metrics.

Design and Implementation of a Prototype Cloud Video Surveillance System

2014 ◽  
Vol 18 (1) ◽  
pp. 40-47 ◽  
Author(s):  
Yong-Hua Xiong ◽  
◽  
Shao-Yun Wan ◽  
Yong He ◽  
Dan Su
Keyword(s):  
Cloud Computing ◽  
Video Surveillance ◽  
Surveillance System ◽  
Distributed Storage ◽  
Video Data ◽  
Video Surveillance System ◽  
Surveillance Systems ◽  
Campus Network ◽  
Design And Implementation ◽  
Cloud Computing Service

Cloud-based video surveillance systems, as a new cloud computing service model, are an emerging research topic, both at home and abroad. Current research is mainly focused on exploring applications of the system. This paper proposes a design and implementation method for cloud-based video surveillance systems using the characteristics of cloud computing, such as parallel computing, large storage space, and easy expandability. The system architecture and function modules are built, and a prototype cloud-based video surveillance system is established in a campus network using key technologies, including virtual machine task access control, video-data distributed storage, and database-active communicationmethods. Using the system, the user is able to place a webcam in a location that requires monitoring so that video surveillance can be achieved, and video data can be viewed through a browser. The system has the following advantages: low investment and maintenance cost, high portability, easily extendable, superior data security, and excellent sharing. As a private cloud server in the campus network, the system is able to not only provide convenient video surveillance services, but it can also be an excellent practical experimental platform for cloud computing-related research, which carries outstanding application value.

scholarly journals Gbest Artificial Bee Colony for Non-convex Optimal Economic Dispatch in Power Generation

2018 ◽  
Vol 11 (1) ◽  
pp. 187
Author(s):  
M. N. Abdullah ◽  
A. F. A. Manan ◽  
J. J. Jamian ◽  
S. A. Jumaat ◽  
N. H. Radzi
Keyword(s):  
Power System ◽  
Optimization Problem ◽  
Artificial Bee Colony ◽  
Heuristic Algorithms ◽  
Economic Dispatch ◽  
Optimal Solution ◽  
System Optimization ◽  
Bee Colony ◽  
Solution Convergence ◽  
And Performance

Non-convex Optimal Economic Dispatch (OED) problem is a complex optimization problem in power system operation that must be optimized economically to meet the power demand and system constraints. The non-convex OED is due to the generator characteristic such as prohibited operation zones, valve point effects (VPE) or multiple fuel options. This paper proposes a Gbest Artificial Bee Colony (GABC) algorithm based on global best particle (gbest) guided of Particle Swarm Optimization (PSO) in Artificial bee colony (ABC) algorithm for solving non-convex OED with VPE. In order to investigate the effectiveness and performance of GABC algorithm, the IEEE 14-bus 5 unit generators and IEEE 30-bus 6 unit generators test systems are considered. The comparison of optimal solution, convergence characteristic and robustness are also highlighted to reveal the advantages of GABC. Moreover, the optimal results obtained by proposed GABC are compared with other reported results of meta-heuristic algorithms. It found that the GABC capable to obtain lowest cost as compared to others. Thus, it has great potential to be implemented in  different types of power system optimization problem.

Design of Wireless Video Surveillance System

2013 ◽  
Vol 321-324 ◽  
pp. 961-964
Author(s):  
Wei Han
Keyword(s):  
Low Power ◽  
Video Surveillance ◽  
Surveillance System ◽  
Video Data ◽  
Video Codec ◽  
Video Surveillance System ◽  
Surveillance Systems ◽  
Wireless Video ◽  
Video Encoder ◽  
Power Operations

Wireless video surveillance is of increasing importance. Many wireless video surveillance systems require a well optimized video codec for low-power operations. Compression of the captured video is normally needed in order to reduce the amount of video data to be delivered as well as to increase the video storage capability of the surveillance system. In this paper, a method which can greatly reduce the complexity for one of the most time-consuming parts in a video encoder was proposed.

A Load Balancing Mechanism for Video Surveillance System

2014 ◽  
Vol 1049-1050 ◽  
pp. 2079-2083
Author(s):  
Jin Xue Pan
Keyword(s):  
Quality Of Service ◽  
Load Balancing ◽  
System Design ◽  
Video Surveillance ◽  
System Performance ◽  
Surveillance System ◽  
Video Surveillance System ◽  
Surveillance Systems ◽  
Cooperation Strategy

In recent years, with the development of video surveillance systems, the cluster and load balancing technology need be applied to improve the system performance and the quality of service. In this paper, on the basis of common load balancing algorithms, considering the characteristics of the video surveillance system, design a new load balancing scheduling mechanism, by improving the weighted round robin algorithm and introducing the nodes cooperation strategy. The testing results show that the new mechanism can distribute the loads more reasonably and make use of the server resources more effectively.

scholarly journals Secure Video Surveillance Framework in Smart City

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4419
Author(s):  
Hao Li ◽  
Tianhao Xiezhang ◽  
Cheng Yang ◽  
Lianbing Deng ◽  
Peng Yi
Keyword(s):  
Video Surveillance ◽  
Smart City ◽  
Key Management ◽  
Surveillance System ◽  
Chinese Remainder Theorem ◽  
Smart Cities ◽  
Group Key Management ◽  
Video Surveillance System ◽  
Surveillance Systems ◽  
Key Update

In the construction process of smart cities, more and more video surveillance systems have been deployed for traffic, office buildings, shopping malls, and families. Thus, the security of video surveillance systems has attracted more attention. At present, many researchers focus on how to select the region of interest (RoI) accurately and then realize privacy protection in videos by selective encryption. However, relatively few researchers focus on building a security framework by analyzing the security of a video surveillance system from the system and data life cycle. By analyzing the surveillance video protection and the attack surface of a video surveillance system in a smart city, we constructed a secure surveillance framework in this manuscript. In the secure framework, a secure video surveillance model is proposed, and a secure authentication protocol that can resist man-in-the-middle attacks (MITM) and replay attacks is implemented. For the management of the video encryption key, we introduced the Chinese remainder theorem (CRT) on the basis of group key management to provide an efficient and secure key update. In addition, we built a decryption suite based on transparent encryption to ensure the security of the decryption environment. The security analysis proved that our system can guarantee the forward and backward security of the key update. In the experiment environment, the average decryption speed of our system can reach 91.47 Mb/s, which can meet the real-time requirement of practical applications.

Precision Power System Harmonic Analysis Algorithm Based on ABC-BPNN

2013 ◽  
Vol 483 ◽  
pp. 630-634
Author(s):  
Shu Chuan Gan ◽  
Ling Tang ◽  
Li Cao ◽  
Ying Gao Yue
Keyword(s):  
Neural Network ◽  
Power System ◽  
Harmonic Analysis ◽  
Bp Neural Network ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Optimal Solution ◽  
Bee Colony ◽  
Network Algorithm ◽  
Neural Network Algorithm

An algorithm of artificial colony algorithm to optimize the BP neural network algorithm was presented and used to analyze the harmonics of power system. The artificial bee colony algorithm global searching ability, convergence speed for the BP neural network algorithm for harmonic analysis is easy to fall into local optimal solution of the disadvantages, and the initial weights of the artificial bee colony algorithm also greatly enhance whole algorithm model generalization capability. This algorithm using MATLAB for Artificial bee colony algorithm and BP neural network algorithm simulation training toolbox found using artificial bee colony algorithm to optimize BP neural network algorithm converges faster results with greater accuracy, with better harmonic analysis results.

scholarly journals AMPLIFIER DESIGN FOR MODELING THE TRANSMISSION OF A DIGITAL VIDEO SIGNAL OVER A DATA TRANSMISSION CHANNEL

2021 ◽  
Vol 445 (1) ◽  
pp. 39-45
Author(s):  
M. Amreev ◽  
R. Safin ◽  
T. Pavlova ◽  
E. Temyrkanova ◽  
Y. Garmashova
Keyword(s):  
Transmission Line ◽  
Video Surveillance ◽  
Video Transmission ◽  
Main Task ◽  
Surveillance Systems ◽  
Video Signals ◽  
Ohmic Resistance ◽  
In Series ◽  
Amplifier Design

The use of video surveillance systems is used in the areas of security, law and order, in the territories of protected objects, in monitoring the movement of road vehicles and in other areas. The main disadvantage of a video surveillance system is its susceptibility to weather influences (rain, fog, snowfall, etc.), which degrades the quality of the video system by reducing the signal level. Therefore, the urgency of finding new ways and possibilities to improve the quality of video signals is one of the priority areas of signal processing. The main task of this work was to determine the main parameters, simulate the transmission line and amplifier, and select the schematic diagram of the transmitting and receiving path with the voltage and current ratings. Both the receiver and the cable video transmitter have different means of adjusting to different transmission line lengths. The signal at the output of each receiver should be in the range from 0.9 to 1.1 V, and the spread of the total ohmic resistance of the wires of the video transmission line at the input of the receiver should be no more than 2 – 3%. Based on these parameters, the equipment is configured for transmitting video over the channel. The magnitude of the mismatch is regulated by potentiometers, which allow smooth adjustment of the video transmission equipment [1]. As a rule, video transmission over the channel is carried out at a distance of 50 to 1500 m. If it is necessary to transmit video at distances less than 50 m, additional resistances are connected in series at the receiver input so that the total line resistance is 30 - 50 Ohm [1].

Video Surveillance

2015 ◽  
pp. 69-92 ◽  
Author(s):  
Qasim Mahmood Rajpoot ◽  
Christian Damsgaard Jensen
Keyword(s):  
Video Surveillance ◽  
Surveillance System ◽  
Negative Impact ◽  
Developed Countries ◽  
Video Surveillance System ◽  
Surveillance Systems ◽  
Security Threats ◽  
Privacy Requirements ◽  
Privacy Issues ◽  
Legal Infrastructure

Pervasive usage of video surveillance is rapidly increasing in developed countries. Continuous security threats to public safety demand use of such systems. Contemporary video surveillance systems offer advanced functionalities which threaten the privacy of those recorded in the video. There is a need to balance the usage of video surveillance against its negative impact on privacy. This chapter aims to highlight the privacy issues in video surveillance and provides a model to help identify the privacy requirements in a video surveillance system. The authors make a step in the direction of investigating the existing legal infrastructure for ensuring privacy in video surveillance and suggest guidelines in order to help those who want to deploy video surveillance while least compromising the privacy of people and complying with legal infrastructure.

Selection of Pathway Markers for Cancer Using Collaborative Binary Multi-Swarm Optimization

2018 ◽  
pp. 337-363
Author(s):  
Prativa Agarwalla ◽  
Sumitra Mukhopadhyay
Keyword(s):  
Particle Swarm Optimization ◽  
Artificial Bee Colony ◽  
Gene Selection ◽  
Heuristic Algorithms ◽  
Particle Swarm ◽  
High Accuracy ◽  
Marker Genes ◽  
Binary Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Bee Colony

Pathway information for cancer detection helps to find co-regulated gene groups whose collective expression is strongly associated with cancer development. In this paper, a collaborative multi-swarm binary particle swarm optimization (MS-BPSO) based gene selection technique is proposed that outperforms to identify the pathway marker genes. We have compared our proposed method with various statistical and pathway based gene selection techniques for different popular cancer datasets as well as a detailed comparative study is illustrated using different meta-heuristic algorithms like binary coded particle swarm optimization (BPSO), binary coded differential evolution (BDE), binary coded artificial bee colony (BABC) and genetic algorithm (GA). Experimental results show that the proposed MS-BPSO based method performs significantly better and the improved multi swarm concept generates a good subset of pathway markers which provides more effective insight to the gene-disease association with high accuracy and reliability.

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