The day time nap sleep has the significant prophylactic function to our health and working efficiency. In this study, the prediction of sleep level for day time short nap was investigated. The ultimate purpose was to ...
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The day time nap sleep has the significant prophylactic function to our health and working efficiency. In this study, the prediction of sleep level for day time short nap was investigated. The ultimate purpose was to develop the automatic analysis technique for nap sleep interpretation. Firstly, the conditional probabilities of sleep stage awake, stage 1 and stage 2 were calculated for the consecutive data segments based on a set of parameters. Secondly, the sleep level of next data segment was predicted according to the obtained conditional probabilities. The prediction of sleep level reflected the future sleep tendency and was helpful for automatic nap sleep interpretation.
Welding robots application can greatly enhance the production efficiency. And effective welding robot path planning is important for improving the efficiency of welding robot. Due to its simplicity, high search accura...
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ISBN:
(纸本)9781479970063
Welding robots application can greatly enhance the production efficiency. And effective welding robot path planning is important for improving the efficiency of welding robot. Due to its simplicity, high search accuracy and fast convergence rate, the particle swarm optimization (PSO) algorithm was used to study welding robot in this paper. A novel hybrid discrete PSO algorithm (HDPSO) was proposed to improve the basic discrete PSO after the light ray optimization, genetic algorithm and chaos optimization strategies were combined first. Then, the HDPSO was used to solve 3-dimensional welding path planning problem. Besides, a welding robot path planning simulation system was designed to realize user friendly path planning, and its practicality was verified by performance test.
With improvement of PET quality, the color of PET is required to be controlled. But the mechanism model of PET color is not so clear. In this paper, a modeling method of color values (B*) is introduced. It is based on...
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With improvement of PET quality, the color of PET is required to be controlled. But the mechanism model of PET color is not so clear. In this paper, a modeling method of color values (B*) is introduced. It is based on sparse pseudo-input gaussian process. Online correction is added to the modeling based on sliding time window. Comparing to support vector regression, the model using gaussian process gives both prediction and predictive variance. The results show that B* value model using gaussian process is more flexible and can be used in real process.
In order to solve the problems of poor real-time performance and single display method in traditional unmanned aerial vehicle(UAV) orthographic image mosaic, this paper proposes a real-time updating technology of loca...
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In order to solve the problems of poor real-time performance and single display method in traditional unmanned aerial vehicle(UAV) orthographic image mosaic, this paper proposes a real-time updating technology of local area orthoimages based on 3D digital earth, which can be widely used in the fields of emergency rescue, environmental monitoring and military *** technology is that in the process of UAV aerial photography, the server receives sequence aerial image in real time and synchronously completes orthographic image splicing, then automatically cuts them into regular image tiles and transmits the regular image tiles to the display terminal in an incremental manner. The display terminal software constructs a 3D digital earth based on quadtree LOD algorithm, and updates the terrain texture of the target range with the received high-definition orthographic image tiles, so as to realize real-time coverage monitoring of key areas. In this paper, the above work is verified by real aerial images, and the results prove the feasibility and effectiveness of the work.
This paper addresses the H ∞ filtering problem for networked control systems with quantization and multiple packet dropouts. The effects of measurement channel and control channel quantization as well as packet drop...
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ISBN:
(纸本)9781467318716
This paper addresses the H ∞ filtering problem for networked control systems with quantization and multiple packet dropouts. The effects of measurement channel and control channel quantization as well as packet dropouts are considered simultaneously due to limited communication capacity and unreliable communication links. Stochastic variables satisfying the Bernoulli random binary distribution are utilized to model the multiple packet dropouts. Sufficient conditions are proposed such that the filtering error system is exponentially mean-square stable while the H ∞ disturbance rejection attenuation constraint is satisfied. Then, the explicit expression of the desired filter gains is described in terms of the solution to linear matrix inequalities (LMIs). Finally, a numerical example is employed to demonstrate the effectiveness of the proposed filter design approach.
作者：
Yu CheZhou TianBoping LiuState Key Laboratory of Chemical Engineering
East China University of Science and Technology Meilong Road 130 Shanghai 200237 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 P.R.China
To understand the behavior of potential network invaders, this paper considers a system attack problem from the perspective of an invader. The invader intends to attack a system, where a group of sensors measure a pro...
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ISBN:
(纸本)9781467374439
To understand the behavior of potential network invaders, this paper considers a system attack problem from the perspective of an invader. The invader intends to attack a system, where a group of sensors measure a process state and send the measurements to a remote estimator for state estimation, by launching Denial-of-Service(Do S) attacks to block the communication channels. As the invader has a power budget and cannot block all the channels, he needs to decide which sensors to attack so that the estimation performance can be mostly affected, which is studied in this paper. In the scenario where the sensing abilities of the sensors have a full order, an explicit solution is provided. When the order does not exist, the problem is transformed into a convex optimization problem and is solved using efficient numerical algorithms.
The performance of robust adaptive control system based on traditional revised algorithm is awful in the presence of unmodeled dynamics and the performance will go bad, even be unstable, when the working condition (in...
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The performance of robust adaptive control system based on traditional revised algorithm is awful in the presence of unmodeled dynamics and the performance will go bad, even be unstable, when the working condition (including the parameter, reference input, and so on) change. This paper designs the multiple models robust adaptive controller to control the discrete single-variable non-minimum phase system. First, the higher part of the system is deem to be the unmodelled dynamic and the normalization is introduced to convert the system unmodeled dynamics to bounded disturbance as well as the dead zone is introduced in parameter update algorithm. And then, the multiple models robust adaptive controllers are designed based on the lower part of the system and the best controller is chosen based on the switch index to control the system. The last simulation illustrates that the proposed method is preferable even the working condition changes.
The human-computer interaction (HCI) is now playing a great role in computer technology. This study introduces an automatic document control technique which is based on the human hand waving movements
The human-computer interaction (HCI) is now playing a great role in computer technology. This study introduces an automatic document control technique which is based on the human hand waving movements
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