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International Journal of Control and Automation 2014年第1期7卷 171-180页

作者： Ma, Li Li, Bo Yang, Zhen Bin Du, Jie Wang, Jin Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China Key Laboratory of Meteorological Disaster of Ministry of Education Nanjing University of Information Science and Technology Nanjing 210044 China CMA Public Meteorological Service Centre Beijing 100081 China

The prediction of wind farm output power is considered as an effective way to increase the wind power capacity and improve the safety and economy of power system. It is one of the hot research topics on wind power. The wind farm output power is related to many factors such as wind speed, temperature, etc., which is difficult to be described by some mathematical expression. In this paper, Back Propagation (BP) neural network algorithm is respectively combined with genetic algorithm (GA) and particle swarm optimization (PSO) to establish the combination prediction model of the short-term wind farm output power based on meteorological data collected by Wireless sensor network (WSN). The meteorological data is used to determine the input variables of the BP neural network. Meanwhile, the GA and the PSO is respectively used to adjust the value of BP's connection weight and threshold dynamically. Then the trained GA-BP and PSO-BP neural network are used to predict the wind power by combination method. The experiment results show that our method has better prediction capability compared with that using BP neural network, GA-BP neural network and PSO-BP neural network alone. © 2014 SERSC.

关键词： Wireless sensor networks

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An appointment based MAC protocol for wireless sensor networks

An appointment based MAC protocol for wireless sensor networ...

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4th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2012

作者： Liu, Hao Jiang, Fulong Yao, Guoliang National ASIC System Engineering Research Center Southeast University Nanjing China Jiangsu Provincial Key Laboratory of Sensor Network Technology Southeast University in Wuxi China

ISBN: (纸本)9780769548104

Several asynchronous duty cycle MAC protocols have been proposed for low power in the wireless sensor networks. However, these proposed MACs pay little attention on the performance degradation in many-to-one communications which is the most common traffic pattern in wireless sensor networks. In this paper, we propose AB-MAC, an appointment based MAC protocol to overcome the effect of channel contention of multiple senders. In AB-MAC, a fusion appointment scheme is proposed to enable scheduled batch transmission for multiple senders with low overhead. This scheme improves the transmission efficiency of the current asynchronous MACs in many-to-one traffic pattern. The experimental results show that, comparing to X-MAC which is a leading asynchronous MAC, AB-MAC can achieve better performance in terms of throughput, latency and energy efficiency. © 2012 IEEE.

关键词： Wireless sensor networks

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UWB autocorrelation receiver based on average differential transmitted reference

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Journal of networks 2012年第11期7卷 1868-1875页

作者： Wang, Feng Ji, Xuande Wang, Yuyan Jiangsu Technology and Engineering Center of Meteorological Sensor Network Nanjing University of Information Science and Technology Nanjing China Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology Luoyang China

There are strong noise components included in the reference signal and the received signal of the ultra- wideband (UWB) differential transmitted reference (DTR) autocorrelation receiver, which impact on the receiver's performance seriously. Therefore this paper proposes a autocorrelation receiver based on average differential transmitted reference (ADTR). This receiver averages the received signals within every frame of the previous symbol period to form the new reference signal. The received signals within each frame of the current symbol interval are also averaged to construct the new received signal, which is correlated with the new reference signal to restore the transmitted symbols. Theoretical analysis and simulation results confirm that BER performance of ADTR autocorrelation receiver is better than the DTR receiver. Compared with DTR receiver, the signal to noise ratio gains of the ADTR receiver are 1.1dB with Ns=3 and 2.1dB with Ns=6 respectively when BER=10-4. © 2012 ACADEMY PUBLISHER.

关键词： Signal to noise ratio

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Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution network

arXiv

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arXiv 2019年

作者： Dai, Yuxiang Zhuang, Peixian Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Technology and Engineering Center of Meteorological Sensor Network School of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing210044 China

Magnetic resonance imaging (MRI) reconstruction is an active inverse problem which can be addressed by conventional compressed sensing (CS) MRI algorithms that exploit the sparse nature of MRI in an iterative optimization-based manner. However, two main drawbacks of iterative optimization-based CSMRI methods are time-consuming and are limited in model capacity. Meanwhile, one main challenge for recent deep learning-based CSMRI is the trade-off between model performance and network size. To address the above issues, we develop a new multi-scale dilated network for MRI reconstruction with high speed and outstanding performance. Comparing to convolutional kernels with same receptive fields, dilated convolutions reduce network parameters with smaller kernels and expand receptive fields of kernels to obtain almost same information. To maintain the abundance of features, we present global and local residual learnings to extract more image edges and details. Then we utilize concatenation layers to fuse multi-scale features and residual learnings for better reconstruction. Compared with several non-deep and deep learning CSMRI algorithms, the proposed method yields better reconstruction accuracy and noticeable visual improvements. In addition, we perform the noisy setting to verify the model stability, and then extend the proposed model on a MRI super-resolution task. Keywords: MRI Reconstruction, Dilated Convolution, Residual Learning, Copyright © 2019, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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A FEM Model for Interactive Simulation of Guide Wire Navigation in Moving Vascular Structures

A FEM Model for Interactive Simulation of Guide Wire Navigat...

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International Conference on Intelligent System Design and engineering Application (ISDEA)

作者： Zhang Qiukui Pascal Haigron Jiangsu Technology & Engineering Center of Meteorological Sensor Network Nanjing University of Information Science and Technology Nanjing Jiangsu China LTSI University of Rennes 1 Rennes France

In this paper a FEM model is proposed to simulate the guide wire navigation procedure in moving vascular structures. The virtual instruments are discretized with the multi-body representation, while the moving vascular structures are represented by a sequence of binary volumes segmented from the patient's data sets. The corresponding potential fields can be obtained by applying distance transform to the dynamic volumes. The collision and interaction between instruments and the moving vascular structures can be efficiently simulated with the potential fields and the FEM model, which drastically reduce the complexity of computation and makes interactive simulation possible. Comparing with mesh-based methods, the approach is both efficient and robust. Experimental results show the approach significantly improves the performance of simulation, especially in the circumstance of guide wire navigation in moving vessels.

关键词： Wires Instruments Navigation Solid modeling Computational modeling Force Torque

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Weighted Multi-Modulus Blind Equalization Algorithm Based on Momentum Term

Weighted Multi-Modulus Blind Equalization Algorithm Based on...

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2011 International Conference on Mechanical engineering and technology(ICMET 2011)

作者： Shijie Guo Fang Xu Wencai Xu Kang Fan College of Physics and Electronic Information Huaibei Normal University Nanjing University of Information Science & Technology Jiangsu Technology and Engineering Center of Meteorological Sensor NetworkJiangsu Key Laboratory of Meteorological Observation and Information Processing

In order to overcome the defects of traditional constant modulus blind equalization algorithm in equalizing higher-order QAM(Quadrature Amplitude Modulation) signals, on the basis of combining the momentum term algorithm and the weighted multi-modulus blind equalization algorithm, Momentum term based Weighted Multi-Modulus blind equalization Algorithm(WMMA) is proposed. In the proposed algorithm, weighted multi-modulus blind equalization algorithm is used to adjust the modulus of the cost function adaptively and momentum term is employed to improve the convergence speed. The simulation results in the underwater acoustic channel show that the proposed algorithm has higher convergence speed and accuracy than Multi-Modulus blind equalization Algorithm(MMA) and Constant Modulus blind equalization Algorithm(CMA).

关键词： blind equalization algorithm,weighted multi-modulus algorithm,momentum term

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Application of Composite Hermitian Operator Eigenfunctions on Analysis of RCS

Application of Composite Hermitian Operator Eigenfunctions o...

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IEEE International Workshop on Electromagnetics

作者： You-Bao Wang Xiang Wang Yue-Fei Rao Shun Xiao Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Technology & Engineering Center of Meteorological Sensor Network Nanjing University of Information Science & Technology Nanjing China. Post Code: 210044.

ISBN: (纸本)9781467381956

The technique to integrate the composite hermitian operator eigenfunctions (CHOEs) with the general asymptotic waveform evaluation (GAWE) is proposed for computing the radar cross section (RCS) of a perfect electric conductor (PEC). In the analysis, the orthogonal and complete properties of the CHOEs are used to construct the solution space of a matrix equation. Hence, the solution of the equation can be obtained by combining the based-vectors of the solution space with a set of coefficients, which can be determined by the GAWE technique at a given frequency. The results of numerical examples prove that the novel technique is effective in computing RCS.

关键词： GAWE RCS PEC

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A 0.5 v divider-by-2 with forward-body bias technique for wireless sensor networks

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2012 International Conference on Electrical and Electronics engineering, ICEE 2012

作者： Wang, Lidan Li, Zhiqun Institute of RF- and OE-ICs Southeast University Nanjing Jiangsu 210096 China Engineering Research Center of RF-ICs and RF-Systems Ministry of Education Southeast University Nanjing Jiangsu 210096 China Jiangsu Provincial Key Laboratory of Sensor Network Technology Wuxi Jiangsu 214135 China

ISBN: (纸本)9781461449805

As the CMOS technology scaling into nanometer and the power supply voltage decrease, low-voltage circuit design becomes a challenge. A divider-by-2 with 0.5 V power supply implemented in TSMC 0.13 μm 1P8M CMOS process is designed to produce 2.4 ~ 2.5 GHz quad-signals for Wireless sensor networks (WSN). To reduce the threshold voltage of transistors, low-threshold (LT) NMOS transistor in Deep-N-Well (DNW) with Forward-Body Bias technique is used in the circuits. The design of layout with DNW and isolation of the bulk of the LT NMOS with the substrate are explained in this chapter. The post-simulated operating frequency range is 2.5 ~ 7 GHz and the power consumption is 0.9 mW at 5 GHz. © 2014 Springer Science+Business Media New York.

关键词： Wireless sensor networks

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A 2 MHz 1 V programmable gain amplifier for WSN application

A 2 MHz 1 V programmable gain amplifier for WSN application

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2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013

作者： Chengsi, Yang Zhiqun, Li Institute of RF- and OE-ICs Southeast University Nanjing China Engineering Research Center of RF-ICs and System Ministry of Education Nanjing China Key Laboratory of Sensor Network Technology of Jiangsu Province Wuxi China

ISBN: (纸本)9781479910274

This paper presents a low-voltage and low-power programmable gain amplifier (PGA) for Wireless sensor network (WSN) in 0.18 μm CMOS process. MOSFETs biased to moderate inversion region are applied in order to achieve maximum voltage gain, low device dissipation, and high linearity, simultaneously. The proposed PGA consists of three fixed-gain stages and a variable-gain stage. It works at 2 MHz with a voltage gain range of 0 dB to 70 dB in steps of 2 dB. Postsimulation results show that the -3 dB-bandwidth is higher than 6.6 MHz with capacitive loads of 2 pF. The whole PGA consumes less than 1.26 mW with a 1 V supply. © 2013 IEEE.

关键词： Wireless sensor networks

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An enhanced ID-updating hash-based RFID authentication protocol with strong privacy protection

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Journal of Computers (Taiwan) 2016年第4期27卷 121-129页

作者： Shen, Jian Chang, Shaohua Tan, Haowen Ji, Sai Wang, Jin Jiangsu Technology and Engineering Center of Meteorological Sensor Network Nanjing University of Information Science and Technology Nanjing China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

RFID authentication has raised many concerns about the security risks and privacy issues due to its lightweight authentication properties. Many research achievements in RFID focus on strengthening the entire RFID system and solving the security problems. Recently, a hash-based RFID security protocol with the intension of updating the identifier of the tag in both the reader side and the tag side itself was proposed. However, there exists inherent risk in the ID-updating procedure. In the scenario that the adversary blocks the legal messages continuously for several times, the backend processing system (BPS) cannot recognize the tag due to the desynchronization of the identifier in last several sessions. Thus the tag will be invalid and cannot be reused again. In this paper, we propose an enhanced ID-updating hash-based RFID authentication protocol with strong privacy protection. In our protocol the ID-updating procedure is resistant to de-synchronization attack. Additionally, the possible feedbacks towards different cases of the tag are taken into consideration. Our proposed protocol is proved to be effective and secure in real applications. Above all, the de-synchronization attack towards the communication between the tag and reader can be prevented according to our design. The identifier of the RFID tag is assumed to be updated with cryptographic hash functions during every session. In this way the identifier can be synchronized in both the BPS side and the RFID tag side. The location privacy of the tag can be protected in our protocol. © 2016, Computer Society of the Republic of China. All rights reserved.

关键词： Radio frequency identification (RFID)

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