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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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Dependence of error sensitivity of frequency on bias voltage in force-balanced micro accelerometer

Lili CHEN, Wu ZHOU

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 146-149 doi: 10.1007/s11465-013-0260-z

Abstract:

To predict more precisely the frequency of force-balanced micro accelerometer with different biasvoltages, the effects of bias voltages on error sensitivity of frequency is studied.of accelerometer under closed loop control is derived according to its operation principle, and its errorvoltage and DC bias voltage on sensitivity, respectively.bias voltage.

Keywords： Micro-Electro-Mechanical Systems (MEMS)     micro accelerometer     force-balanced micro accelerometer     frequency     error    

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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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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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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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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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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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A combined modulated feedback and temperature compensation approach to improve bias drift of a closed-loop

Ming-jun MA,Zhong-he JIN,Hui-jie ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 497-510 doi: 10.1631/FITEE.1400349

Abstract: The bias drift of a micro-electro-mechanical systems (MEMS) accelerometer suffers from the 1/ noiseFor massive applications, the bias drift urgently needs to be improved.this paper, a combined approach on closed-loop architecture modification is proposed to minimize the biasWith the combined approach, the bias instability is improved to less than 13 μ , and the drift of the

Keywords： Bias drift     Closed-loop MEMS accelerometer     Modulated feedback approach     Temperature compensation    

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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： frequency division multiplexing(OFDM)     layered space唱time code(LST)     zero force(ZF)algorithm     minimum meansquare error(MMSE)    

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Kinematic error separation on five-axis NC machine tool based on telescoping double ball bar

Min WANG, Jianzhong HU, Tao ZAN

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 431-437 doi: 10.1007/s11465-010-0110-1

Abstract: algorithm of the homogeneous transformation matrix (HTM) method are applied in establishing the kinematic errorBased on this model, a new method for the kinematic error separation in five-axis numerical control (the value measured by telescoping double ball bar is substituted into the model to obtain kinematic error

Keywords： error modeling     error separation     telescoping double ball bar     five-axis numerical control (NC) machining    

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Robust ensemble of metamodels based on the hybrid error measure

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 623-634 doi: 10.1007/s11465-021-0641-7

Abstract: The weight factor is adaptively determined according to the hybrid error metric, which combines globaland local error measures to improve the accuracy of the EMs.

Keywords： metamodel     ensemble of metamodels     hybrid error measure     stochastic problem    

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Virtual-position Reading Method—a Novel Method for Error Motion and Form Error Separation

Hong Maisheng,Li Zijun,Su Heng,Ye Feifan

Strategic Study of CAE 2002, Volume 4, Issue 10,   Pages 48-51

Abstract: By means of this method, form error or error motion can be respectively separated according to practicalneeds, and the separating sequence of form error or error motion can also be optional.proposed method, it is not necessary to change the conventional measuring and separating system of form error

Keywords： virtual-position reading     signal re-organization     form error     error motion     error separation techniques    

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Some remarks on the engineering application of the fatigue crack growth approach under nonzero mean loads

Jorge Alberto Rodriguez DURAN,Ronney Mancebo BOLOY,Rafael Raider LEONI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3,   Pages 255-262 doi: 10.1007/s11465-015-0342-1

Abstract:

The well-known fatigue crack growth (FCG) curves are two-parameter dependents. The range of the stress intensity factor ?K and the load ratio R are the parameters normally used for describing these curves. For engineering purposes, the mathematical representation of these curves should be integrated between the initial and final crack sizes in order to obtain the safety factors for stresses and life. First of all, it is necessary to reduce the dependence of the FCG curves to only one parameter. ?K is almost always selected and, in these conditions, considered as the crack driving force. Using experimental data from literature, the present paper shows how to perform multiple regression analyses using the traditional Walker approach and the more recent unified approach. The correlations so obtained are graphically analyzed in three dimensions. Numerical examples of crack growth analysis for cracks growing under nominal stresses of constant amplitude in smooth and notched geometries are performed, assuming an identical material component as that of the available experimental data. The resulting curves of crack size versus number of cycles (a vs. N) are then compared. The two models give approximately the same (a vs. N) curves in both geometries. Differences between the behaviors of the (avs. N) curves in smooth and notched geometries are highlighted, and the reasons for these particular behaviors are discussed.

Keywords： fatigue crack propagation modeling     life prediction     mean stress effects    

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A method for quantifying bias in modeled concentrations and source impacts for secondary particulate

Cesunica E. Ivey, Heather A. Holmes, Yongtao Hu, James A. Mulholland, Armistead G. Russell

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 5, doi: 10.1007/s11783-016-0866-6

Abstract: The method provides estimates of bias in modeled concentrations.These compounds constitute the majority of PM mass, and reducing bias in estimated concentrations hasThe mean bias for initial CMAQ concentrations compared to observations is −0.28 (OC), 0.11 (NO ), 0.05The normalized mean bias in modeled concentrations compared to observations was effectively zero forto determine the performance of the spatial application of the bias correction.

Keywords： Particulate matter     Source apportionment     Secondary particulate matter     Chemical transport modeling     Receptor modeling    

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Title Author Date Type Operation

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

Sivasankari SUNDARAM,Jakka SARAT CHANDRA BABU

Journal Article

Dependence of error sensitivity of frequency on bias voltage in force-balanced micro accelerometer

Lili CHEN, Wu ZHOU

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

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

Huaqiang CHU, Mingyan GU, Huaichun ZHOU, Fengshan LIU

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

Chord error constraint based integrated control strategy for contour error compensation

Tie ZHANG, Caicheng WU, Yanbiao ZOU

Journal Article

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

Guang GUO, Bo WU, Shuzi YANG

Journal Article

A combined modulated feedback and temperature compensation approach to improve bias drift of a closed-loop

Ming-jun MA,Zhong-he JIN,Hui-jie ZHU

Journal Article

The V－BLAST Detection for MIMO MC－CDMA System

Yang Jie,Feng Guangzeng

Journal Article

Kinematic error separation on five-axis NC machine tool based on telescoping double ball bar

Min WANG, Jianzhong HU, Tao ZAN

Journal Article

Robust ensemble of metamodels based on the hybrid error measure

Journal Article

Virtual-position Reading Method—a Novel Method for Error Motion and Form Error Separation

Hong Maisheng,Li Zijun,Su Heng,Ye Feifan

Journal Article

Some remarks on the engineering application of the fatigue crack growth approach under nonzero mean loads

Jorge Alberto Rodriguez DURAN,Ronney Mancebo BOLOY,Rafael Raider LEONI

Journal Article

A method for quantifying bias in modeled concentrations and source impacts for secondary particulate

Cesunica E. Ivey, Heather A. Holmes, Yongtao Hu, James A. Mulholland, Armistead G. Russell

Journal Article