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On detecting primary user emulation attack using channel impulse response in the cognitive radio network Article

Qiao-mu JIANG, Hui-fang CHEN, Lei XIE, Kuang WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1665-1676 doi: 10.1631/FITEE.1700203

Abstract: In this paper, we propose a PUEA detection method that exploits the radio channel information to detectIn the proposed method, the uniqueness of the channel impulse response (CIR) between the secondary userIn addition, a modified subspace-based blind channel estimation method is presented to estimate the CIRNumerical results show that the proposed PUEA detection method performs well although the difference in channel

Keywords： Cognitive radio network     Primary user emulation attack     Subspace-based blind channel estimation     Channel    

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Improving the Performance of OFDM Channel Estimation through Subspace Projecting and Tracking

Dong Liang,Cao Xiuying,Bi Guangguo

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 86-93

Abstract:

The LS channel estimation of OFDM systems can be viewed as a noisy observation of the true channelIn this paper, the substance of the improvement of LS channel estimation is analyzed when subspace projectingestimation is given, based on which this method is exterded to non-LS channel estimation.When signal subspace varies with time, subspace tracking should be performed to maintain a good estimationAt the end of this paper, a subspace tracking based parametric channel estimator is presented, and computer

Keywords： OFDM     subspace     projecting     tracking     channel estimation    

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Joint DOA and channel estimation with data detection based on 2D unitary ESPRITin massive MIMO systems Article

Jing-ming KUANG, Yuan ZHOU, Ze-song FEI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 6,   Pages 841-849 doi: 10.1631/FITEE.1700025

Abstract: We propose a novel method for joint two-dimensional (2D) direction-of-arrival (DOA) and channel estimationThe conventional DOA estimation algorithms usually assume that the channel impulse responses are knownIn contrast, a joint DOA and channel estimation scheme is proposed, which first estimates the channelAfter that, the DOAs of the waves are estimated based on a unitary ESPRIT algorithm using previous channelimpulse response estimates instead of accurate channel impulse responses and then, the enhanced channel

Keywords： Two-dimensional (2D) direction-of-arrival (DOA) estimation     Channel impulse response estimation     Data    

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Subspace-based identification of discrete time-delay system Article

Qiang LIU,Jia-chen MA

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 566-575 doi: 10.1631/FITEE.1500358

Abstract: Then a conventional subspace identification method is used to estimate augmented system matrices andFinally, we reconstruct the Kalman state sequences based on the similarity transformation.

Keywords： Identification problems     Time-delay systems     Subspace identification method     Alternate convex search    

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Clinical efficacy of comprehensive therapy based on traditional Chinese medicine patterns on patientswith pneumoconiosis: a pilot double-blind, randomized, and placebo-controlled study

Frontiers of Medicine 2022, Volume 16, Issue 5,   Pages 736-744 doi: 10.1007/s11684-021-0870-5

Abstract: A double-blind, randomized, and placebo-controlled trial was conducted for 24 weeks, in which 96 patients

Keywords： pneumoconiosis     randomized controlled trials     traditional Chinese medicine    

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A cellphone-based colorimetric multi-channel sensor for water environmental monitoring

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 12, doi: 10.1007/s11783-022-1590-z

Abstract:

● A cellphone-based colorimetric multi-channel sensor for in-field

Keywords： Colorimetric analysis     Multi-channel sensor     Cellphone     Water quality indexes     Environmental monitoring    

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Compressed sensing-based structured joint channel estimation in a multi-user massive MIMO system Article

Ruo-yu ZHANG, Hong-lin ZHAO, Shao-bo JIA

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 2082-2100 doi: 10.1631/FITEE.1601635

Abstract: Acquisition of accurate channel state information (CSI) at transmitters results in a huge pilot overheadTo reduce the overwhelming pilot overhead in such systems, a structured joint channel estimation schemeSpecifically, the channel sparsity in the angular domain due to the practical scattering environmentestimation quality can be improved.Furthermore, the probability upper bound of common support recovery and the upper bound of channel estimation

Keywords： Multi-user massive multiple input multiple output (MIMO)     Frequency-division duplexing     Structured joint channelestimation     Pilot overhead reduction    

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Experimental investigation of liquid metal alloy based mini-channel heat exchanger for high power electronic

Manli LUO, Jing LIU

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 479-486 doi: 10.1007/s11708-013-0277-3

Abstract: this paper is dedicated to clarify the heat transfer behaviors of the liquid metal flowing in mini-channelwere all cooled down by these three heat dissipation apparatuses and the exchanger with the smallest channelconstant heat flux in the hydrodynamically developed and thermally developing region in the rectangular channelThis study is expected to provide valuable reference for designing future liquid metal based mini-channel

Keywords： heat exchanger     liquid metal     mini-channel     heat dissipation     heat transfer coefficient    

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Finite element model updating of a large structure using multi-setup stochastic subspace identification

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 965-980 doi: 10.1007/s11709-019-0530-x

Abstract: The natural frequencies of the solar power plant structure are estimated by multi-setup stochastic subspace

Keywords： operational modal analysis     solar power plant structure     multi-setup stochastic subspace     bees optimization    

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An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 801-816 doi: 10.1007/s11708-020-0687-y

Abstract: the mathematical model of the electricity-gas interconnected integrated energy system and its state estimationFinally, a distributed state estimation framework is formed by combining the synchronous alternatingdirection multiplier method to achieve an efficient estimation of the state of the integrated energymethod are only 0.0132% and 0.0864%, much lower than the estimation error by using the Lagrangian relaxationBesides, compared with the centralized estimation method, the proposed distributed method saves 5.42

Keywords： integrated energy system     state estimation     electricity-gas coupling energy system     nonlinear coupling     distributed    

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Multiple fault separation and detection by joint subspace learning for the health assessment of wind

Zhaohui DU, Xuefeng CHEN, Han ZHANG, Yanyang ZI, Ruqiang YAN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 333-347 doi: 10.1007/s11465-017-0435-0

Abstract: Thus, this paper presents a joint subspace learning-based multiple fault detection (JSL-MFD) techniqueIt can also sparsely concentrate the feature information into a few dominant subspace coefficients.

Keywords： joint subspace learning     multiple fault diagnosis     sparse decomposition theory     coupling feature separation    

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Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Xuhong Zhou,Shuai Li,Jiepeng Liu,Zhou Wu,Yohchia Frank Chen,

Engineering doi: 10.1016/j.eng.2023.10.004

Abstract: Identifying workers’ construction activities or behaviors can enable managers to better monitor labor efficiency and construction progress. However, current activity analysis methods for construction workers rely solely on manual observations and recordings, which consumes considerable time and has high labor costs. Researchers have focused on monitoring on-site construction activities of workers. However, when multiple workers are working together, current research cannot accurately and automatically identify the construction activity. This research proposes a deep learning framework for the automated analysis of the construction activities of multiple workers. In this framework, multiple deep neural network models are designed and used to complete worker key point extraction, worker tracking, and worker construction activity analysis. The designed framework was tested at an actual construction site, and activity recognition for multiple workers was performed, indicating the feasibility of the framework for the automated monitoring of work efficiency.

Keywords： Pose estimation     Activity analysis     Object tracking     Construction workers     Automatic systems    

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Numerical investigation and analysis of heat transfer enhancement in channel by longitudinal vortex based

TAO Wenquan, WU Junmei

Frontiers in Energy 2008, Volume 2, Issue 1,   Pages 71-78 doi: 10.1007/s11708-008-0001-x

Abstract: numerical simulations were presented for laminar flow and heat transfer characteristics in a rectangular channelThe numerical results were analyzed based on the field synergy principle.The synergy angle decreases with the increase of Reynolds number for the channel with LVG to differ fromthe result obtained from the plain channel, and the triangle winglet performs better than the rectanglar

Keywords： inherent mechanism     integral     surface     rectanglar     longitudinal    

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Blind Multi-user Detection Based on Simplified LSCMA in STBC Coded MC－CDMA Systems

Xiong Yilan,Li Guangzeng

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 42-45

Abstract: Utilizing the orthogonal feature of space time block coding ( STBC) ,  a simple and feasible algorithm basedon constant modulus (CM) criterion is proposed for blind multi-user detection in STBC MC - CDMA systemsThe algorithm proposed in the paper as a simplified version of the algorithm based on the least square

Keywords： space time block code     MC-CDMA     constant modulus algorithm     blind multi_user detection    

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A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

Frontiers in Energy 2016, Volume 10, Issue 4,   Pages 382-392 doi: 10.1007/s11708-016-0421-y

Abstract: This paper presents a new neural network based model reference adaptive system (MRAS) to solve low speedtrained neural network rotor flux estimator as the adaptive model (FLUX-MRAS) for rotor resistance estimationThese lead to a significant error in the estimation of rotor resistance at low speed.
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Title Author Date Type Operation

On detecting primary user emulation attack using channel impulse response in the cognitive radio network

Qiao-mu JIANG, Hui-fang CHEN, Lei XIE, Kuang WANG

Journal Article

Improving the Performance of OFDM Channel Estimation through Subspace Projecting and Tracking

Dong Liang,Cao Xiuying,Bi Guangguo

Journal Article

Joint DOA and channel estimation with data detection based on 2D unitary ESPRITin massive MIMO systems

Jing-ming KUANG, Yuan ZHOU, Ze-song FEI

Journal Article

Subspace-based identification of discrete time-delay system

Qiang LIU,Jia-chen MA

Journal Article

Clinical efficacy of comprehensive therapy based on traditional Chinese medicine patterns on patientswith pneumoconiosis: a pilot double-blind, randomized, and placebo-controlled study

Journal Article

A cellphone-based colorimetric multi-channel sensor for water environmental monitoring

Journal Article

Compressed sensing-based structured joint channel estimation in a multi-user massive MIMO system

Ruo-yu ZHANG, Hong-lin ZHAO, Shao-bo JIA

Journal Article

Experimental investigation of liquid metal alloy based mini-channel heat exchanger for high power electronic

Manli LUO, Jing LIU

Journal Article

Finite element model updating of a large structure using multi-setup stochastic subspace identification

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Journal Article

An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Journal Article

Multiple fault separation and detection by joint subspace learning for the health assessment of wind

Zhaohui DU, Xuefeng CHEN, Han ZHANG, Yanyang ZI, Ruqiang YAN

Journal Article

Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Xuhong Zhou,Shuai Li,Jiepeng Liu,Zhou Wu,Yohchia Frank Chen,

Journal Article

Numerical investigation and analysis of heat transfer enhancement in channel by longitudinal vortex based

TAO Wenquan, WU Junmei

Journal Article

Blind Multi-user Detection Based on Simplified LSCMA in STBC Coded MC－CDMA Systems

Xiong Yilan,Li Guangzeng

Journal Article

A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

Journal Article