Cloud computing is an emerging model of network resource delivery and usage. Research how to create an operating platform based on cloud computing and Internet of Things (IoT), which can promote the development of IoT...
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In view of the nonlinearity and coupling in the coordinated control system(CCS) of thermal power plants, the paper introduces a Takagi-Sugeno(T-S) fuzzy model based generalized predictive control(GPC) of CCS. First, a...
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In view of the nonlinearity and coupling in the coordinated control system(CCS) of thermal power plants, the paper introduces a Takagi-Sugeno(T-S) fuzzy model based generalized predictive control(GPC) of CCS. First, a T-S fuzzy model with three chosen typical operating point is employed to approximate the nonlinearity of the CCS of the thermal power plant. Then, based on the obtained T-S fuzzy model, a GPC controller is developed to achieve a desired performance. Finally, a living example of a 330MW thermal power unit is used to demonstrate GPC controller.
Appling the speech recognition technology into the virtual reality system can not only expand the application of speech recognition in scene roaming,but also make up the shortage of the interaction of virtual reality ...
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Appling the speech recognition technology into the virtual reality system can not only expand the application of speech recognition in scene roaming,but also make up the shortage of the interaction of virtual reality software,and improve the efficiency of interaction between users and the virtual *** paper aims to combine the speech recognition technology with the VR technology,and control the users' viewpoint in the VR system by *** Microsoft Speech SDK5.1,the speech recognition program is developed and the interface is designed to connect the speech recognition module with the VR *** on the EON SDK,the EON nodes of speech recognition and scene roaming are *** above EON nodes and the built models are imported into *** the speech recognition program and then the scene roaming controlled by speech is realized *** experiment on walking mazement shows that the speech commands can exactly control the users' motion to avoid obstacles and successfully go through the mazement.
Networks are prone to intrusions and detecting intruders on the Internet, is a major problem. Many Intrusion Detection systems have been proposed to detect these intrusions. However, as the Internet grows day by day, ...
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ISBN:
(纸本)9781479989386
Networks are prone to intrusions and detecting intruders on the Internet, is a major problem. Many Intrusion Detection systems have been proposed to detect these intrusions. However, as the Internet grows day by day, there is a huge amount of data (big data) that needs to be processed to detect intruders. For this reason, intrusion detection has to be done in real-time before intruders can inflict damage, and previous detection systems do not satisfy this need for big data. Using Apache Storm, a Real time Hybrid Intrusion Detection system has been developed in our work. Apache Storm serves as a distributed, fault tolerant, real time big data stream processor. The hybrid detection system consists of two neural networks. The CC4 instantaneous neural network acts as an anomaly-based detection for unknown attacks and the Multi Layer Perceptron neural network acts as a misuse-based detection for known attacks. Based on the outputs from these two neural networks, the incoming data will be classified as "attack" or "normal." We found the average accuracy of hybrid detection system is 89% with a 4.32% false positive rate. This model is appropriate for real time detection since Apache Storm acts as a real time streaming processor, which can also handle big data.
In wireless sensor network,the existing reinforcement learning routing algorithm usually optimize single goal and the process of route establishment is *** also has problem of data forwarding control *** this paper,we...
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In wireless sensor network,the existing reinforcement learning routing algorithm usually optimize single goal and the process of route establishment is *** also has problem of data forwarding control *** this paper,we present a dynamic adaptive routing algorithm with feedback learning ability to balance the energy of wireless sensor network,to reduce the routing hops,and to reduce the establishment *** algorithm will use the local routing information and the method of feedback to learn neighbors' state;routing reward values will be obtained by weighted calculation according to the energy information and the hop counts information;the optimal routing strategy will be obtained by updating the Q-value of routing table.
In recent years,with the high-speed development of the Internet of things application,people's requirements for information are more and more high,which leads to the growing demand for remote *** paper discusses t...
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In recent years,with the high-speed development of the Internet of things application,people's requirements for information are more and more high,which leads to the growing demand for remote *** paper discusses the application of remote monitoring based on GPRS wireless network platform construction method,and to communicate with client and server *** application platform mainly consists of three *** first one is the client,which is used to implement this platform to monitor all Internet application *** second one is the hardware side,which composes of the GPRS module embedded chip and outside enlarge some of the sensing *** last one is the server,which is based on Multipurpose Infrastructure Networked Applications(MINA) asynchronous non-blocking TCP connection,keeping the heart with hardware,GPRS,becoming a bridge of real-time communication between users and hardware.
This paper introduces a decentralized coordinated fuzzy stabilization control of power system. First, the Takagi and Sugeno（T-S） fuzzy model is employed to approximate system-wide nonlinear model of power system. Ne...
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This paper introduces a decentralized coordinated fuzzy stabilization control of power system. First, the Takagi and Sugeno（T-S） fuzzy model is employed to approximate system-wide nonlinear model of power system. Next, based on the fuzzy model, a fuzzy controller with decentralized constrain is developed to achieve the suboptimal control. A robust stabilization technique is also proposed to override the oscillations. Finally, the suboptimal control is parameterized in terms of three eigenvalue problems（EVP’s）, which can be solved conveniently by using linear matrix inequality（LMI） optimization techniques. A simulation example is used to illustrate the contributions of the proposed method. The results demonstrate that the proposed method gives a desired performance.
Formalized and standardized architecture descriptions are very important for the design and understanding of architecture. However, nowadays software architectures are mainly described by non-formal diagrams and text,...
Formalized and standardized architecture descriptions are very important for the design and understanding of architecture. However, nowadays software architectures are mainly described by non-formal diagrams and text, semantics is not clear, and it is difficult to develop the appropriate supported tools. To this end, a method based on Petri net is proposed to describe software architecture. First, rules of architecture description based on Petri net are defined, and then architecture of a simple system is described by those rules. Finally, the model was verified. Experimental results show that this method can formally describes software architecture graphically, and can verify the architecture automatically.
The major concern in a biometric identification system is its accuracy. In spite of the improvements in image acquisition and image processing techniques, the amount of research still being carried out in person verif...
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The major concern in a biometric identification system is its accuracy. In spite of the improvements in image acquisition and image processing techniques, the amount of research still being carried out in person verification and identification shows that a recognition system which gives zero FAR and FRR is still not a reality. Fusion of multiple instances within a modality for biometric verification performance improvement has received considerable attention. This paper presents an efficient method for improved accuracy in iris recognition system based on multi instance fusion, which combines the left and right iris of an individual at the feature level. When fusing, a novel fusion strategy using parallel feature fusion is applied to generate a fused feature used to match the stored template. The experimental results show that the proposed method can bring obvious performance improvement compared to the single instance method.
The purpose of simulation is to reduce the number of actual experiments, and to minimize development costs and improve development efficiency. Simulation system is an integrated, complex system. Each parameter will be...
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