http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Dezhong Zheng (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
Intelligent Monitoring System for Home Based on FRBF Neural Network
Dezhong Zheng,Yang Wang,Yan Wang 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.2
In accordance with the requirements for home security and safe guard, a new type of intelligent monitoring system is researched and developed. The system is established with CAN bus and wireless as the foundation. Multi-sensor technology is used to improve the alarm algorithm of the system, a new fuzzy neural network is put forward as the classifier. There are four layers in the network, and the input signals are temperature and the concentration of CO, smoke and CO2, the output signal is the fire probability. Radial basis function (RBF) is used as the fuzzy membership function. The principal component analysis (PCA) is used to extract the information of sensors and an observation window is used to extract the necessary information for neural network. Experiments show that the system can provide accurate detection results in a short time.
-
An Energy Efficient Localized Topology Control Algorithm for Wireless Multihop Networks
Dezhong Shang,Baoxian Zhang,Zheng Yao,Cheng Li 한국통신학회 2014 Journal of communications and networks Vol.16 No.4
Localized topology control is attractive for obtaining reducednetwork graphs with desirable features such as sparser connectivityand reduced transmit powers. In this paper, we focus onstudying how to prolong network lifetime in the context of localizedtopology control for wireless multi-hop networks. For this purpose,we propose an energy efficient localized topology control algorithm. In our algorithm, each node is required to maintain its one-hopneighborhood topology. In order to achieve long network lifetime,we introduce a new metric for characterizing the energy criticalitystatus of each link in the network. Each node independentlybuilds a local energy-efficient spanning tree for finding a reducedneighbor set while maximally avoiding using energy-critical linksin its neighborhood for the local spanning tree construction. Wepresent the detailed design description of our algorithm. The computationalcomplexity of the proposed algorithm is deduced to beO(mlog n), where m and n represent the number of links andnodes in a node’s one-hop neighborhood, respectively. Simulationresults show that our algorithm significantly outperforms existingwork in terms of network lifetime.
-
An Energy Efficient Localized Topology Control Algorithm for Wireless Multihop Networks
Shang, Dezhong,Zhang, Baoxian,Yao, Zheng,Li, Cheng The Korea Institute of Information and Commucation 2014 Journal of communications and networks Vol.16 No.4
Localized topology control is attractive for obtaining reduced network graphs with desirable features such as sparser connectivity and reduced transmit powers. In this paper, we focus on studying how to prolong network lifetime in the context of localized topology control for wireless multi-hop networks. For this purpose, we propose an energy efficient localized topology control algorithm. In our algorithm, each node is required to maintain its one-hop neighborhood topology. In order to achieve long network lifetime, we introduce a new metric for characterizing the energy criticality status of each link in the network. Each node independently builds a local energy-efficient spanning tree for finding a reduced neighbor set while maximally avoiding using energy-critical links in its neighborhood for the local spanning tree construction. We present the detailed design description of our algorithm. The computational complexity of the proposed algorithm is deduced to be O(mlog n), where m and n represent the number of links and nodes in a node's one-hop neighborhood, respectively. Simulation results show that our algorithm significantly outperforms existing work in terms of network lifetime.
-
Method Based on Sparse Signal Decomposition for Harmonic and Inter-harmonic Analysis of Power System
Lei Chen,Dezhong Zheng,Shuang Chen,Baoru Han 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.2
Harmonic/inter-harmonic detection and analysis is an important issue in power system signal processing. This paper proposes a fast algorithm based on matching pursuit (MP) sparse signal decomposition, which can be employed to extract the harmonic or inter-harmonic components of a distorted electric voltage/current signal. In the MP iterations, the method extracts harmonic/interharmonic components in order according to the spectrum peak. The Fast Fourier Transform (FFT) and nonlinear optimization techniques are used in the decomposition to realize fast and accurate estimation of the parameters. First, the frequency estimation value corresponding to the maxim spectrum peak in the present residual is obtained, and the phase corresponding to this frequency is searched in discrete sinusoids dictionary. Then the frequency and phase estimations are taken as initial values of the unknown parameters for Nelder-Mead to acquire the optimized parameters. Finally, the duration time of the disturbance is determined by comparing the inner products, and the amplitude is achieved according to the matching expression of the harmonic or inter-harmonic. Simulations and actual signal tests are performed to illustrate the effectiveness and feasibility of the proposed method.
-
Method Based on Sparse Signal Decomposition for Harmonic and Inter-harmonic Analysis of Power System
Chen, Lei,Zheng, Dezhong,Chen, Shuang,Han, Baoru The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.2
Harmonic/inter-harmonic detection and analysis is an important issue in power system signal processing. This paper proposes a fast algorithm based on matching pursuit (MP) sparse signal decomposition, which can be employed to extract the harmonic or inter-harmonic components of a distorted electric voltage/current signal. In the MP iterations, the method extracts harmonic/inter-harmonic components in order according to the spectrum peak. The Fast Fourier Transform (FFT) and nonlinear optimization techniques are used in the decomposition to realize fast and accurate estimation of the parameters. First, the frequency estimation value corresponding to the maxim spectrum peak in the present residual is obtained, and the phase corresponding to this frequency is searched in discrete sinusoids dictionary. Then the frequency and phase estimations are taken as initial values of the unknown parameters for Nelder-Mead to acquire the optimized parameters. Finally, the duration time of the disturbance is determined by comparing the inner products, and the amplitude is achieved according to the matching expression of the harmonic or inter-harmonic. Simulations and actual signal tests are performed to illustrate the effectiveness and feasibility of the proposed method.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
