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Research on Selectivity of Co-processing Protection Methods for Ship Distribution Network Based on Communications
Huang Jing,
He Huiying,
Zhou Shiwan,
Zhang Tao
Issue:
Volume 4, Issue 2, April 2016
Pages:
6-12
Received:
6 April 2016
Published:
7 April 2016
Abstract: Relaying system is a distributed discrete structure, each protector and detection unit is distributed in logic and physics. In this text, the authors propose a selective protection method of ship distribution network based on the strategy of communication coordinate, designing the protector to intelligent structure which has the function of fault current detection, calculation of current rising rate, communication and coordination processing. For communication coordinated strategy in ship power distribution network, the application of selective protection research, to improve the effectiveness of the selective protection of ship power distribution network is of great significance.
Abstract: Relaying system is a distributed discrete structure, each protector and detection unit is distributed in logic and physics. In this text, the authors propose a selective protection method of ship distribution network based on the strategy of communication coordinate, designing the protector to intelligent structure which has the function of fault c...
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Detection of Cu(II) Ion in Water Using a Quartz Crystal Microbalance
Chi-Yen Shen,
Yu-Min Lin,
Rey-Chue Hwang
Issue:
Volume 4, Issue 2, April 2016
Pages:
13-17
Received:
6 April 2016
Published:
7 April 2016
Abstract: Drinking water from a tap is a source of potential exposure to environmental contaminants. This requires that public water supplies should be regularly monitored for heavy metals. Many of heavy metal ions are retained and accumulated in water strongly. Consequently it has entered the food chain to threaten human health. A quartz crystal microbalance (QCM) based on a phosphate-modified dendrimer film was investigated for direct detection of Cu(II) metal ion in water. This QCM sensor exhibited the high sensitivity and the short response time to Cu(II) metal ion.
Abstract: Drinking water from a tap is a source of potential exposure to environmental contaminants. This requires that public water supplies should be regularly monitored for heavy metals. Many of heavy metal ions are retained and accumulated in water strongly. Consequently it has entered the food chain to threaten human health. A quartz crystal microbalanc...
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Comprehensive Analysis on Characteristics of SiC Power Device
Shi Mingming,
Lu Wenwei,
Ge Le
Issue:
Volume 4, Issue 2, April 2016
Pages:
18-23
Received:
6 April 2016
Published:
7 April 2016
Abstract: Analyzing the research status and development trend of SiC (Silicon Carbide) power device, this article describes the latest research results of switching characteristics and power loss characteristics of SiC power device. With detailed analysis on switching characteristics of Schottky Barrier Diode (SBD) and MOSFET, this paper emphasizes on the differences between them and the corresponding power devices. The comparison study between power loss characteristics of MPS and valve loss of silicon carbide thyristor for ultra-high voltage, also and the differences in power loss of switching power supply between SiC MOSFET and Si MOSFET provide scientific basis for the optimal selection and application of SiC power device.
Abstract: Analyzing the research status and development trend of SiC (Silicon Carbide) power device, this article describes the latest research results of switching characteristics and power loss characteristics of SiC power device. With detailed analysis on switching characteristics of Schottky Barrier Diode (SBD) and MOSFET, this paper emphasizes on the di...
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A New Method for Ground Moving Targets Tracking Using Radar Based on Compressed Sensing
Issue:
Volume 4, Issue 2, April 2016
Pages:
24-30
Received:
6 April 2016
Published:
7 April 2016
Abstract: In this paper, we propose a Compressed Sensing (CS) based method under the unknown sparse degree to track ground moving targets using Pulse-Doppler (PD) radar. We use the sparsity of delay-Doppler plane in the process of disposing PD radar echo to set up a sparse signal model in each pulse interval. At the state prediction stage, we can get the predicted values of target states by dynamic equations, with which we can build a delay-Doppler grid that is used to form orthogonal dictionary. At the state update stage, we can get the target state estimation through reconstruction algorithm, so as to realize precise tracking of targets. The problem of target tracking by PD radar will be transformed into the reconstruction of the sparse signal, which is accomplished by getting the location of targets in the grid, as a result of achieving ground target tracking based on Orthogonal Matching Pursuit (OMP) [1]. Then, aiming at the sparsity problem in the method of target tracking based on Orthogonal Matching Pursuit, we propose a new target tracking method based on Sparsity Adaptive Matching Pursuit (SAMP) algorithm [2]. Numerical simulations show that our tracking method can not only provide the equivalent computational time, but also get better tracking performance than the KF-based tracking.
Abstract: In this paper, we propose a Compressed Sensing (CS) based method under the unknown sparse degree to track ground moving targets using Pulse-Doppler (PD) radar. We use the sparsity of delay-Doppler plane in the process of disposing PD radar echo to set up a sparse signal model in each pulse interval. At the state prediction stage, we can get the pre...
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The Predictive Model of Hepatitis B Virus Reactivation Induced by Precise Radiotherapy in Primary Liver Cancer
Wang Shuai,
Wu Guan-peng,
Huang Wei,
Liu Tong-hai,
Yin Yong,
Liu Yi-hui
Issue:
Volume 4, Issue 2, April 2016
Pages:
31-34
Received:
6 April 2016
Published:
7 April 2016
Abstract: In this paper, to build a predictive model of hepatitis B virus (HBV) reactivation in primary liver cancer (PLC) patients after precise radiotherapy (RT). Logistic regression analysis was adopted to extract the optimal feature subset, TNM, HBV DNA level and outer margin of RT were risk factors for HBV reactivation (P < 0.05). A predictive model of support vector machine (SVM) was established for the optimal feature subset and all of PLC data sets. The experimental results proved that the former obviously improves the classification accuracy, which increased from 74.44% to 78.89%. In this paper, it is concluded that TNM, HBV DNA levels and outer boundary are the risk factor for HBV reactivation (P < 0.05).
Abstract: In this paper, to build a predictive model of hepatitis B virus (HBV) reactivation in primary liver cancer (PLC) patients after precise radiotherapy (RT). Logistic regression analysis was adopted to extract the optimal feature subset, TNM, HBV DNA level and outer margin of RT were risk factors for HBV reactivation (P ...
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Application of BP and RBF Neural Network in Classification Prognosis of Hepatitis B Virus Reactivation
Wu Guan-peng,
Wang Shuai,
Huang Wei,
Liu Tong-hai,
Yin Yong,
Liu Yi-hui
Issue:
Volume 4, Issue 2, April 2016
Pages:
35-39
Received:
12 April 2016
Published:
13 April 2016
Abstract: This study aims at finding the risk factors (the key feature subset) and building the classification prognosis model of hepatitis B virus (HBV) reactivation after precise radiotherapy (RT) in patients with primary liver carcinoma. We find out that the outer margin of RT, TNM of tumor stage and the HBV DNA levels are the risk factors (P<0.05) of HBV reactivation by feature extraction method of logistic regression analysis in this article. The feature extraction method reduced the dimension and improved the classification accuracy. Establish the classification prognosis model of BP and RBF neural network for original data set and the key feature subset. The experimental results show that BP and RBF neural network have good performance in classification of HBV reactivation.
Abstract: This study aims at finding the risk factors (the key feature subset) and building the classification prognosis model of hepatitis B virus (HBV) reactivation after precise radiotherapy (RT) in patients with primary liver carcinoma. We find out that the outer margin of RT, TNM of tumor stage and the HBV DNA levels are the risk factors (P...
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Towards a Precise Direction of Arrival Estimation for Coherent Sources Using EC-MUSIC
Hassan Mohamed EL-Kamchouchi,
Ahmed Samir EL-Torgoman
Issue:
Volume 4, Issue 2, April 2016
Pages:
40-43
Received:
18 April 2016
Published:
19 April 2016
Abstract: Smart antennas are used to transmit /receive the signals according smart choices due to DSP, the most important factor in this choices is signal direction for reception or transmission, known as DoA :direction of arrival, there are much many algorithms used to address this issue as MUSIC/ROOT MUSIC/ESPIRIT /MVDR In this paper we will concentrate on MUSIC algorithm are one of the most attractive algorithm regarding its performance, However 2 or more signals are close to each other these algorithm do not perform accurate, as well as under coherent sources the accuracy deteriorates quickly in this paper a reasonable modification for MUSIC had been made by adding coefficients related to number of snapshots and number of element array [1] as well as simple modification for covariance matrix in MUSIC algorithm to capable to handle signals of coherent sources will result in enhancing MUSIC algorithm resolution for coherent sources to 1 degree space which will be called EC-MUSIC (Enhanced Coherent-MUSIC).
Abstract: Smart antennas are used to transmit /receive the signals according smart choices due to DSP, the most important factor in this choices is signal direction for reception or transmission, known as DoA :direction of arrival, there are much many algorithms used to address this issue as MUSIC/ROOT MUSIC/ESPIRIT /MVDR In this paper we will concentrate on...
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