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Wavelet-based iterative data enhancement for implementation in purification of modal frequency for extremely

Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI, Soheil MOHAMMADI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 446-472 doi: 10.1007/s11709-019-0605-8

Abstract: The main purpose of the present study is to enhance high-level noisy data by a wavelet-based iterativeBoth the signal-to-noise ratio and the peak signal-to-noise ratio are small.For this iterative method, a simple computational approach is proposed to estimate the dynamic threshold

Keywords： ambient vibration test     high level noise     iterative signal enhancement     wavelet     cross and autocorrelation    

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Acoustic fault signal extraction via the line-defect phononic crystals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 10-10 doi: 10.1007/s11465-021-0666-y

Abstract: Rotating machine fault signal extraction becomes increasingly important in practical engineering applicationsHowever, fault signals with low signal-to-noise ratios (SNRs) are difficult to extract, especially atline-defect phononic crystals (PCs) consisting of periodic acrylic tubes with slit are proposed for weak signalThe effectiveness of weak harmonic and periodic impulse signal detection via line-defect PCs are investigated

Keywords： phononic crystals     line-defect     fault signal extraction     acoustic enhancement    

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A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal

Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 64-68

Abstract: The method, in which mccltiple similar signals are superposed, can not only decrease the noise in the signal

Keywords： vibrating wave     reflection wave     signal enhancement     software for superposition signal    

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Iterative finite element model of nonlinear viscoplastic analyses for blended granular porous media

WU Yuching, ZHU Cimian

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 4,   Pages 464-473 doi: 10.1007/s11709-007-0063-6

Abstract: The iterative finite element model, in which an element is used to represent a single particle, is generated

Keywords： nonlinear viscoplastic     iterative     behavior     multiple-material    

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Improving prodeoxyviolacein production via multiplex SCRaMbLE iterative cycles

Juan Wang, Bin Jia, Zexiong Xie, Yunxiang Li, Yingjin Yuan

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 4,   Pages 806-814 doi: 10.1007/s11705-018-1739-2

Abstract: and continuously generate genome diversification with the desired phenotype, the multiplex SCRaMbLE iterative

Keywords： synthetic biology     genome rearrangement     prodeoxyviolacein     SCRaMbLE     Saccharomyces cerevisiae    

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A fast compound direct iterative algorithm for solving transient line contact elastohydrodynamic lubrication

Jian LIU,Yuxue CHEN,Zhenzhi HE,Shunian YANG

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 2,   Pages 156-167 doi: 10.1007/s11465-014-0297-7

Abstract:

A fast compound direct iterative algorithm for solving transient line contact elastohydrodynamicFirst, by introducing a special matrix splitting iteration method into the traditional compound direct iterativethe new algorithm increases computing speed several times more than the traditional compound direct iterative

Keywords： elastohydrodynamic lubrication     transient     line contact     matrix splitting iteration method     the Thomas method    

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Turbidity-adaptive underwater image enhancement method using image fusion

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8

Abstract: In this paper, we propose a turbidity-adaptive underwater image enhancement method.Based on the detection result, different image enhancement strategies are designed to deal with the problem

Keywords： turbidity     underwater image enhancement     image fusion     underwater robots     visibility    

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Automatic image enhancement by learning adaptive patch selection None

Na LI, Jian ZHAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 206-221 doi: 10.1631/FITEE.1700125

Abstract: However, some photos lack detail and need enhancement.Many existing image enhancement algorithms are patch based and the patch size is always fixed throughoutUsers must tune the patch size to obtain the appropriate enhancement.In this study, we propose an automatic image enhancement method based on adaptive patch selection usingresults demonstrate that our method can provide a significant improvement in existing patch-based image enhancement

Keywords： Image enhancement     Contrast enhancement     Dark channel     Bright channel     Adaptive patch based processing    

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Performance enhancement of partially shaded solar PV array using novel shade dispersion technique

Namani RAKESH,T. Venkata MADHAVARAM

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 227-239 doi: 10.1007/s11708-016-0405-y

Abstract: Solar photo voltaic array (SPVA) generates a smaller amount of power than the standard rating of the panel due to the partial shading effect. Since the modules of the arrays receive different solar irradiations, the P-V characteristics of photovoltaic (PV) arrays contain multiple peaks or local peaks. This paper presents an innovative method (magic square) in order to increase the generated power by configuring the modules of a shaded photovoltaic array. In this approach, the physical location of the modules in the total cross tied (TCT) connected in the solar PV array is rearranged based on the magic square arrangement pattern. This connection is done without altering any electrical configurations of the modules in the PV array. This method can distribute the shading effect over the entire PV array, without concentrating on any row of modules and can achieve global peaks. For different types of shading patterns, the output power of the solar PV array with the proposed magic square configuration is compared with the traditional configurations and the performance is calculated. This paper presents a new reconfiguration technique for solar PV arrays, which increases the PV power under different shading conditions. The proposed technique facilitates the distribution of the effect of shading over the entire array, thereby, reducing the mismatch losses caused by partial shading. The theoretical calculations are tested through simulations in Matlab/Simulink to validate the results. A comparison of power loss for different types of topologies under different types of shading patterns for a 4 × 4 array is also explained.

Keywords： photovoltaic cells     mismatch loss     shading patterns     partial shading     magic square     power enhancement     global    

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CHARACTERISTICS OF HERBIVORY/WOUND-ELICITED ELECTRICAL SIGNAL TRANSDUCTION IN TOMATO

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 2,

Abstract: plant species Arabidopsis has been characterized but the characteristics of electrical signalUnlike those in Arabidopsis, wounding tomato leaves did not cause leaf-to-leaf electrical signalLeaflet wounding also activated electrical signal transduction and jasmonic acid (JA) signaling withinThis work reveals the nature of electrical signal transduction in tomato and emphasizes the key rolesof GLR3.3 and GLR3.5 in electrical signal transduction and JA signaling activation.

Keywords： electrical signal / glutamate receptor-like / herbivory / jasmonic acid / tomato    

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Fuzzy iterative learning control and numerical simulation of tall building seismic response control

Wang Quan,Wang Jianguo,Zhang Mingxiang

Strategic Study of CAE 2011, Volume 13, Issue 4,   Pages 81-86

Abstract: text-align: justify;">With research into the fundamental ideas of self tuning control, fuzzy logic and iterativelearning control (ILC), this paper provides a new type of fuzzy iterative learning control strategyIt improves the robustness of the iterative learning control.The result of simulation shows that fuzzy iterative learning control strategy can control the seismic

Keywords： tall building     seismic response     iterative learning control     fuzzy control    

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Revolutionizing heat transport enhancement with liquid metals: Proposal of a new industry of water-free

Haiyan LI, Jing LIU

Frontiers in Energy 2011, Volume 5, Issue 1,   Pages 20-42 doi: 10.1007/s11708-011-0139-9

Abstract: Water is perhaps the most widely adopted working fluid in conventional industrial heat transport engineering. However, it may no longer be the best option today due to the increasing scarcity of water resources. Furthermore, the wide variations in water supply throughout the year and across different geographic regions also makes it harder to easily access. To address this issue, finding new alternatives to replace water-based technologies is imperative. In this paper, the concept of a water-free heat exchanger is proposed and comprehensively analyzed for the first time. The liquid metal with a low melting point is identified as an ideal fluid that can flexibly be used within a wide range of working temperatures. Some liquid metals and their alloys, which have previously received little attention in thermal management areas, are evaluated. With superior thermal conductivity, electromagnetic field drivability, and extremely low power consumption, liquid metal coolants promise many opportunities for revolutionizing modern heat transport processes: serving as heat transport fluid in industries, administrating thermal management in power and energy systems, and innovating enhanced cooling in electronic or optical devices. Furthermore, comparative analyses are conducted to understand the technical barriers encountered by advanced water-based heat transfer strategies and clarify this new frontier in heat-transport study. In addition, the unique merits of liquid metals that could lead to innovative heat exchanger technologies are evaluated comprehensively. A few promising industrial situations, such as heat recovery, chip cooling, thermoelectricity generation, and military applications, where liquid metals could play irreplaceable roles, were outlined. The technical challenges and scientific issues thus raised are summarized. With their evident ability to meet various critical requirements in modern advanced energy and power industries, liquid metal-enabled technologies are expected to usher a new and global era of water-free heat exchangers.

Keywords： heat exchanger     liquid metal     water resource     heat transport enhancement     coolant     thermal management     process    

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The role of protein kinase C epsilon in neural signal transduction and neurogenic diseases

Yuan CHEN, Qi TIAN

Frontiers of Medicine 2011, Volume 5, Issue 1,   Pages 70-76 doi: 10.1007/s11684-011-0119-9

Abstract: could regulate distinct aspects of neural signal transduction and suggest that the coordinated actionssignal pathway in the developing brain.

Keywords： signal transduction     neurogenic disease    

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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: It is found that the inherent mechanism of the heat transfer enhancement by longitudinal vortex can be

Keywords： inherent mechanism     integral     surface     rectanglar     longitudinal    

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Effect of bond enhancement using carbon nanotubes on flexural behavior of RC beams strengthened with

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 131-143 doi: 10.1007/s11709-021-0787-8

Abstract: The enhancement was more pronounced in the case of U-shape than in the case of use of sheet strip coversThe flexural enhancement of RC beams by strengthening with CNTs-modified CFRP decreased with increasing

Keywords： RC beams     flexural     strengthening     CFRP     CNTs     finite element    

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Title Author Date Type Operation

Wavelet-based iterative data enhancement for implementation in purification of modal frequency for extremely

Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI, Soheil MOHAMMADI

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal

Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo

Journal Article

Iterative finite element model of nonlinear viscoplastic analyses for blended granular porous media

WU Yuching, ZHU Cimian

Journal Article

Improving prodeoxyviolacein production via multiplex SCRaMbLE iterative cycles

Juan Wang, Bin Jia, Zexiong Xie, Yunxiang Li, Yingjin Yuan

Journal Article

A fast compound direct iterative algorithm for solving transient line contact elastohydrodynamic lubrication

Jian LIU,Yuxue CHEN,Zhenzhi HE,Shunian YANG

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

Automatic image enhancement by learning adaptive patch selection

Na LI, Jian ZHAN

Journal Article

Performance enhancement of partially shaded solar PV array using novel shade dispersion technique

Namani RAKESH,T. Venkata MADHAVARAM

Journal Article

CHARACTERISTICS OF HERBIVORY/WOUND-ELICITED ELECTRICAL SIGNAL TRANSDUCTION IN TOMATO

Journal Article

Fuzzy iterative learning control and numerical simulation of tall building seismic response control

Wang Quan,Wang Jianguo,Zhang Mingxiang

Journal Article

Revolutionizing heat transport enhancement with liquid metals: Proposal of a new industry of water-free

Haiyan LI, Jing LIU

Journal Article

The role of protein kinase C epsilon in neural signal transduction and neurogenic diseases

Yuan CHEN, Qi TIAN

Journal Article

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

TAO Wenquan, WU Junmei

Journal Article

Effect of bond enhancement using carbon nanotubes on flexural behavior of RC beams strengthened with

Journal Article