In this paper, we propose the novel emotional engine like human's emotion and its parameter tuning using by hybrid system bacterial foraging (BF) and agent machine learning. The most general method uses neural net...
详细信息
ISBN:
(纸本)9781424444779
In this paper, we propose the novel emotional engine like human's emotion and its parameter tuning using by hybrid system bacterial foraging (BF) and agent machine learning. The most general method uses neural networks to classify emotion by using speech and face image data for human's emotion recognition. But high-dimension and large size of this data cause low-speed learning of neural network. The main idea of the proposed method is to suggest emotion engine and to express emotion by hybrid system composed of bacterial foraging and multi-agent system. Experimental result shows that this method can achieve better performance for human's emotion recognition than others and express emotion.
This study revealed an applicable architecture in which a data-driven mechanism was designed to bridge a wireless sensor network (WSN) and the Internet. The system was divided into two independent parts. The first par...
详细信息
When rescue robots navigate in a rough terrain, significant vibration of the video occurs unavoidably and a video stabilization system is proposed in this paper to reduce the disturbance on the visual system of the pr...
详细信息
作者：
Krejcar, OndrejDepartment of Measurement
Control Centre for Applied Cybernetics Faculty of Electrical Engineering and Computer Science 17. listopadu 15 708 33 Ostrava-Poruba Czech Republic
The paper deal with a mobile wireless connected devices and the problem of their slow wireless connection. The main area of interest is in a model of data prebuffering based system enhancement for locating and trackin...
详细信息
ISBN:
(纸本)9781424438853
The paper deal with a mobile wireless connected devices and the problem of their slow wireless connection. The main area of interest is in a model of data prebuffering based system enhancement for locating and tracking users of our control system inside the buildings. The experimental framework prototype uses a WiFi network infrastructure to let a mobile device determine its indoor position. User location is used for data pre-buffering and pushing information from server to user's PDA. All server data are saved as artifacts (together) with its position information in building. The accessing of prebuffered data on mobile device can highly improve response time needed to view large multimedia data. On mobile device the SQL Server CE database is used. Mobile device operate with Windows Mobile 6.0 operation system which is real time. All operations in such mobile clients are deterministic.
Dynamic programming provides a method to solve hybrid optimal control problems. This contribution extends existing numerical methods originally developed for purely continuous systems, to a class of hybrid systems wit...
详细信息
Dynamic programming provides a method to solve hybrid optimal control problems. This contribution extends existing numerical methods originally developed for purely continuous systems, to a class of hybrid systems with autonomous as well as controlled switching behavior. The hybrid dynamics is approximated by a locally consistent discrete Markov decision process. The original optimal control problem is then reformulated for the Markov decision process and solved by standard dynamic programming methods. The convergence of the discrete approximation to the original problem is ensured. The viability of the numerical scheme is illustrated by a two gear transmission system used previously in literature.
In this paper, adaptive state feedback actuator failure compensator for networked control systems(NCSs) with state dependent disturbances are *** obstacles of NCSs such as;transmission delays and data-packets dropout ...
详细信息
In this paper, adaptive state feedback actuator failure compensator for networked control systems(NCSs) with state dependent disturbances are *** obstacles of NCSs such as;transmission delays and data-packets dropout induced by the insertion of data networks in the feedback adaptive control loops are also *** laws are designed for updating the controller ***-loop stability is *** results show that the desired performance is achieved with the developed adaptive actuator failure compensation control *** results are given to illustrate the effectiveness of our design approach.
This paper presents the design and stiffness modeling of a soft multi-fingered hand. First, the structure and the kinematics of one soft finger are introduced. The finger has a soft feature by using a spring as its ba...
详细信息
In the paper the mathematical modeling methods were employed to solve the problem of fuel mass estimation supplied to the power generating boiler grid. It was shown that popular polynomial and neural network based ide...
详细信息
ISBN:
(纸本)9783902661555
In the paper the mathematical modeling methods were employed to solve the problem of fuel mass estimation supplied to the power generating boiler grid. It was shown that popular polynomial and neural network based identification algorithms can be used to measure amount of fuel supplied to the boiler combustion chamber. Furthermore the original conception and exemplary realization of the mass stream measuring system was presented.
Different maximum likelihood formulations have been proposed in the literature for dynamic system Identification in the time and frequency domains. In this paper we present numerical examples to study and compare thes...
详细信息
The ability to detect and classify the type of fault plays a great role in the protection of power system. This procedure is required to be precise with no time consumption. In this paper detection of fault type has b...
详细信息
The ability to detect and classify the type of fault plays a great role in the protection of power system. This procedure is required to be precise with no time consumption. In this paper detection of fault type has been implemented using wavelet analysis together with wavelet entropy principle. The simulation of power system is carried out using PSCAD/EMTDC. Different types of faults were studied obtaining various current waveforms. These current waveforms were decomposed using wavelet analysis into different approximation and details. The wavelet entropy of such decompositions is analyzed reaching a successful methodology for fault classification. The suggested approach is tested using different fault types and proven successful identification for the type of fault.
暂无评论