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The V－BLAST Detection for MIMO MC－CDMA System

Yang Jie,Feng Guangzeng

Strategic Study of CAE 2007, Volume 9, Issue 1,   Pages 58-62

Abstract:

This paper investigates V-BLAST MC-CDMA down link.A V-BLAST detector per subcarrier is proposed for MIMO MC-CDMA system in this paper and the system performance with var ious numbers of V -BLAST antennas and users for such a system is evaluated throu gh simulations.

Keywords： orthogonal frequency division multiplexing(OFDM)     layered space唱time code(LST)     zero force(ZF)algorithm     minimummean square error(MMSE)    

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Theoretical prediction and validation of global horizontal solar irradiance for a tropical climate in India

Sivasankari SUNDARAM,Jakka SARAT CHANDRA BABU

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 311-321 doi: 10.1007/s11708-015-0369-3

Abstract: The proposed regression models were validated by the significance of statistical indicators such as meanbias error, root mean square error and mean percentage error from the predicted and the actual values

Keywords： global horizontal irradiance (GHI)     mean bias error     root mean square error     mean percentage error     coefficient    

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Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network

T. Chandra Sekhara REDDY

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 490-503 doi: 10.1007/s11709-017-0445-3

Abstract: This paper is aimed at adapting Artificial Neural Networks (ANN) to predict the strength properties of SIFCON containing different minerals admixture. The investigations were done on 84 SIFCON mixes, and specimens were cast and tested after 28 days curing. The obtained experimental data are trained using ANN which consists of 4 input parameters like Percentage of fiber (PF), Aspect Ratio (AR), Type of admixture (TA) and Percentage of admixture (PA). The corresponding output parameters are compressive strength, tensile strength and flexural strength. The predicted values obtained using ANN show a good correlation between the experimental data. The performance of the 4-14-3 architecture was better than other architectures. It is concluded that ANN is a highly powerful tool suitable for assessing the strength characteristics of SIFCON.

Keywords： artificial neural networks     root mean square error     SIFCON     silica fume     metakaolin     steel fiber    

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Learning deep IA bidirectional intelligence Personal View

Lei XU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 558-562 doi: 10.1631/FITEE.1900541

Abstract: There has been a framework sketched for learning deep bidirectional intelligence. The framework has an inbound that features two actions: one is the acquiring action, which gets inputs in appropriate patterns, and the other is A-S cognition, derived from the abbreviated form of words abstraction and self-organization, which abstracts input patterns into concepts that are labeled and understood by self-organizing parts involved in the concept into structural hierarchies. The top inner domain accommodates relations and a priori knowledge with the help of the A-I thinking action that is responsible for the accumulation-amalgamation and induction-inspiration. The framework also has an outbound that comes with two actions. One is called I-S reasoning, which makes inference and synthesis (I-S) and is responsible for performing various tasks including image thinking and problem solving, and the other is called the interacting action, which controls, communicates with, and inspects the environment. Based on this framework, we further discuss the possibilities of design intelligence through synthesis reasoning.

Keywords： Abstraction     Least mean square error reconstruction (Lmser)     Cognition     Image thinking     Abstract thinking    

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Prediction of performance, combustion and emission characteristics of diesel-thermal cracked cashew nut shell liquid blends using artificial neural network

Arunachalam VELMURUGAN,Marimuthu LOGANATHAN,E. James GUNASEKARAN

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 114-124 doi: 10.1007/s11708-016-0394-x

Abstract: The mean square error value (MSE) is 0.005621 and the regression value of is 0.99316 for training,

Keywords： cashew nut shell liquid (CNSL)     artificial neural networks (ANN)     thermal cracking     mean square error (MSE    

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Tribological mechanism of carbon group nanofluids on grinding interface under minimum quantity lubrication

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0733-z

Abstract: Carbon group nanofluids can further improve the friction-reducing and anti-wear properties of minimum

Keywords： grinding     minimum quantity lubrication     carbon group nanofluid     tribological mechanism    

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Reactive power compensation of an isolated hybrid power system with load interaction using ANFIS tuned STATCOM

Nitin SAXENA,Ashwani KUMAR

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 261-268 doi: 10.1007/s11708-014-0298-6

Abstract: These conventional controlling techniques use the integral square error (ISE) criterion with an open

Keywords： isolated wind-diesel power system     adaptive neuro fuzzy interference system (ANFIS)     integral square error    

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Calculations of narrow-band transimissities and the Planck mean absorption coefficients of real gases

Huaqiang CHU, Mingyan GU, Huaichun ZHOU, Fengshan LIU

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 41-48 doi: 10.1007/s11708-013-0292-4

Abstract: Narrow-band transmissivities calculated by the SNB model are in large relative error at many bands.The Planck mean absorption coefficients of CO , H O, CO, and CH in the temperature range of 300 to 2500The SNB model was also used to calculate the Planck mean absorption coefficients of these four radiatingThe LBL results of the Planck mean absorption coefficient were compared with the classical results of

Keywords： transimissity     HITEMP     HITRAN     Planck mean absorption coefficients    

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Chord error constraint based integrated control strategy for contour error compensation

Tie ZHANG, Caicheng WU, Yanbiao ZOU

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 645-658 doi: 10.1007/s11465-020-0601-7

Abstract: position error compensator, is proposed.To reduce the contour error, a PI-type cross-coupling controller is designed, with its stability beinganalyzed by using the contour error transfer function.Moreover, a feed rate regulator based on the chord error constraint is proposed, which performs speedcompensation of tracking error.

Keywords： cross-coupling controller     contour error     tracking error     position error compensator     feed rate regulator    

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Estimation of the minimum effective dose of tramadol for postoperative analgesia in infants using the

Yue’e Dai, Dongxu Lei, Zhenghua Huang, Yan Yin, G. Allen Finley, Yunxia Zuo

Frontiers of Medicine 2012, Volume 6, Issue 3,   Pages 288-295 doi: 10.1007/s11684-012-0208-4

Abstract: However, the analgesia efficacy of tramadol, particularly its minimum effective dose (MED), is not clear

Keywords： tramadol     minimum effective dose     postoperative analgesia     infants     continual reassessment method    

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Cryogenic minimum quantity lubrication machining: from mechanism to application

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 649-697 doi: 10.1007/s11465-021-0654-2

Abstract: Environmental machining technologies, such as dry cutting, minimum quantity lubrication (MQL), and cryogenicThe latest progress of cryogenic minimum quantity lubrication (CMQL) technology is reviewed in this paper

Keywords： cryogenic minimum quantity lubrication (CMQL)     cryogenic medium     processing mode     device application    

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Tessellation Rule and Properties Programming of Origami Metasheets Built with a Mixture of Rigid and Non-Rigid Square-Twist Article

Jiayao Ma, Shixi Zang, Yan Chen, Zhong You

Engineering 2022, Volume 17, Issue 10,   Pages 82-92 doi: 10.1016/j.eng.2022.02.015

Abstract: In this paper, we propose a new kind of origami metasheet by incorporating a family of different square-twist

Keywords： Origami metamaterials     Metasheets     Square-twist pattern     Non-periodic tessellation     Programmability    

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The research on method of geometry-control during erection of the short-line bridge

Wang Min,Zhang Yongtao,Liu Jinghong,Liu Yi,Huang Yue

Strategic Study of CAE 2009, Volume 11, Issue 11,   Pages 79-81

Abstract:

Focus on error control during fabricating and suspended splicing of boxAfter the analysis of the error reasons, and the combination with practical engineering—Sutong

Keywords： geometry-control     error analysis     least square method     erection of the short-line method    

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A job-insertion heuristic for minimizing the mean flowtime in dynamic flowshops

Guang GUO, Bo WU, Shuzi YANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 197-202 doi: 10.1007/s11465-011-0211-5

Abstract:

A new adaptive job-insertion based heuristic is presented to minimize the mean flowtime in a dynamicthan the SPT dispatching rule, which is currently one of the most effective methods for minimizing the mean

Keywords： scheduling     dynamic flowshops     flowtime     heuristic     mean flowtime    

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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords： thermostats     perceptions     beliefs     signal detection theory (SDT)     fuzzy signal detection theory (FSDT)     chi-square    

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Title Author Date Type Operation

The V－BLAST Detection for MIMO MC－CDMA System

Yang Jie,Feng Guangzeng

Journal Article

Theoretical prediction and validation of global horizontal solar irradiance for a tropical climate in India

Sivasankari SUNDARAM,Jakka SARAT CHANDRA BABU

Journal Article

Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network

T. Chandra Sekhara REDDY

Journal Article

Learning deep IA bidirectional intelligence

Lei XU

Journal Article

Prediction of performance, combustion and emission characteristics of diesel-thermal cracked cashew nut shell liquid blends using artificial neural network

Arunachalam VELMURUGAN,Marimuthu LOGANATHAN,E. James GUNASEKARAN

Journal Article

Tribological mechanism of carbon group nanofluids on grinding interface under minimum quantity lubrication

Journal Article

Reactive power compensation of an isolated hybrid power system with load interaction using ANFIS tuned STATCOM

Nitin SAXENA,Ashwani KUMAR

Journal Article

Calculations of narrow-band transimissities and the Planck mean absorption coefficients of real gases

Huaqiang CHU, Mingyan GU, Huaichun ZHOU, Fengshan LIU

Journal Article

Chord error constraint based integrated control strategy for contour error compensation

Tie ZHANG, Caicheng WU, Yanbiao ZOU

Journal Article

Estimation of the minimum effective dose of tramadol for postoperative analgesia in infants using the

Yue’e Dai, Dongxu Lei, Zhenghua Huang, Yan Yin, G. Allen Finley, Yunxia Zuo

Journal Article

Cryogenic minimum quantity lubrication machining: from mechanism to application

Journal Article

Tessellation Rule and Properties Programming of Origami Metasheets Built with a Mixture of Rigid and Non-Rigid Square-Twist

Jiayao Ma, Shixi Zang, Yan Chen, Zhong You

Journal Article

The research on method of geometry-control during erection of the short-line bridge

Wang Min,Zhang Yongtao,Liu Jinghong,Liu Yi,Huang Yue

Journal Article

A job-insertion heuristic for minimizing the mean flowtime in dynamic flowshops

Guang GUO, Bo WU, Shuzi YANG

Journal Article

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article