Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 37

Year

2023 2

2022 4

2021 1

2020 3

2019 2

2018 1

2017 1

2016 3

2015 5

2014 1

2013 4

2012 2

2011 2

2007 2

2004 1

2002 1

2001 1

1999 1

open ︾

Keywords

Artificial intelligence 2

dam 2

Adaptive neuro-fuzzy inference system (ANFIS) 1

Artificial neural network (ANN) 1

Blood pressure (BP) 1

Cancer genome 1

DC-link voltage 1

DNA 1

Data science 1

Deqingyuan Biogas Project 1

Doherty power amplifier (DPA) 1

FDTD method 1

Flow-through electrode 1

Forward stepwise regression 1

Heavy metals 1

Hexavalent chromium 1

Internal flow 1

Least squares support vector machine (LS-SVM) 1

Network phase 1

open ︾

Search scope:

排序： Display mode:

Take back and treatment of discarded electronics: a scientific update

Ab STEVELS, Jaco HUISMAN, Feng WANG, Jinhui LI, Boyang LI, Huabo DUAN

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 4, Pages 475-482 doi: 10.1007/s11783-013-0538-8

Abstract: This paper indicates that the performance of tack-back and treatment of electronic waste (e-waste) system

Keywords： e-waste take back treatment substantially

HTML PDF Collect

Discussion on back-to-back two-stage centrifugal compressor compact design techniques

Lei HUO, Huoxing LIU

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4, Pages 390-400 doi: 10.1007/s11465-013-0278-2

Abstract:

Design a small flow back-to-back two-stage centrifugal compressor in the aviation turbocharger, theTherefore, the stationary part of the back-to-back two-stage centrifugal compressor should pay full attention

Keywords： back-to-back two-stage centrifugal compressor design Internal flow

HTML PDF Collect

Choosing configurations of transmission line tower grounding by back flashover probability value

Dmitry KUKLIN

Frontiers in Energy 2016, Volume 10, Issue 2, Pages 213-226 doi: 10.1007/s11708-016-0398-6

Abstract: The probability of back flashover, which provides both qualitative and quantitative estimate of the groundingDifferent approaches are examined for identifying the back flashover probability, as not only amplitudesIt is found that lightning current waveform can greatly influence calculated back flashover probability

Keywords： grounding transmission line tower back flashover probability FDTD method

HTML PDF Collect

DFIG sliding mode control fed by back-to-back PWM converter with DC-link voltage control for variable

Youcef BEKAKRA,Djilani BEN ATTOUS

Frontiers in Energy 2014, Volume 8, Issue 3, Pages 345-354 doi: 10.1007/s11708-014-0330-x

Abstract: control of doubly fed induction generator (DFIG) with the rotor connected to the electric grid through a back-to-backA proportional-integral-(PI) controller is used to keep the DC-link voltage constant for a back-to-back

Keywords： doubly fed induction generator (DFIG) wind turbine back-to-back pulse width modulation (PWM) DC-link

HTML PDF Collect

Renewable synthetic fuel: turning carbon dioxide back into fuel

Frontiers in Energy 2022, Volume 16, Issue 2, Pages 145-149 doi: 10.1007/s11708-022-0828-6

HTML PDF Collect

Space Tourism Begins to Take Off

Mitch Leslie

Engineering 2022, Volume 10, Issue 3, Pages 4-6 doi: 10.1016/j.eng.2022.01.005

HTML PDF Collect

Acupuncture is ineffective for chronic low back pain? A critical analysis and rethinking

Xuqiang Wei, Baoyan Liu

Frontiers of Medicine 2021, Volume 15, Issue 5, Pages 767-775 doi: 10.1007/s11684-020-0785-6

Abstract: Acupuncture is a promising treatment for relieving pain and improving lower back function in clinicalMost RCTs conclude that acupuncture procedures for chronic low back pain (CLBP) had no significant difference

Keywords： chronic low back pain sham acupuncture acupuncture methodology therapeutic evaluation

HTML PDF Collect

Airborne Wind Energy Prepares for Take Off

Peter Weiss

Engineering 2020, Volume 6, Issue 2, Pages 107-109 doi: 10.1016/j.eng.2019.12.002

HTML PDF Collect

Review on New Theories and Methods in Prototype Back Analysis of Dam

Gu Chongshi,Wu Zhongru

Strategic Study of CAE 2001, Volume 3, Issue 8, Pages 76-81

Abstract:

Based on the study of the present theories and application in prototype back analysis of dam, thehot problems which need to be solved urgently in back analysis are pointed out and studied.Some new back analysis theories and methods are introduced.

Keywords： dam prototype back analysis application

HTML PDF Collect

Simulation of grid connection and maximum power point tracking control of brushless doubly-fed generator in wind power system

Hicham SERHOUD, Djilani BENATTOUS

Frontiers in Energy 2013, Volume 7, Issue 3, Pages 380-387 doi: 10.1007/s11708-013-0252-z

Abstract: In this paper, based on the analysis of the mathematical model in a common synchronous reference frame of the brushless doubly-fed generator (BDFG), the grid connection strategy and maximum energy extraction control were both analyzed. Besides, the transient simulation of no-load model and generation model of the BDFG have been developed on the MATLAB/Simulink platform. The test results during cutting-in grid confirmed the good dynamic performance of grid synchronization and effective power control approach for the BDFG-based variable speed wind turbines.

Keywords： brushless doubly-fed generator (BDFG) modeling grid connection control back-to-back pulse-width modulation

HTML PDF Collect

Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 474-485 doi: 10.1631/FITEE.1400295

Abstract: Guidelines on measurement of BP contain recommendations on the position of the back of the participantsby advising that they should sit with supported back to avoid spuriously high readings.squares support vector machine (LS-SVM) model for the prediction of BP reactivity to an unsupported back

Keywords： Blood pressure (BP) Principal component analysis (PCA) Forward stepwise regression Artificial neural network (ANN) Adaptive neuro-fuzzy inference system (ANFIS) Least squares support vector machine (LS-SVM)

HTML PDF Collect

Surgical robotics: A look-back of latest advancement and bio-inspired ways to tackle existing challenges

Yang LIU, Jing LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4, Pages 376-384 doi: 10.1007/s11465-012-0352-1

Abstract:

This article is dedicated to present a review on existing challenges and latest developments in surgical robotics in attempts to overcome the obstacles lying behind. Rather than to perform an exhaustive evaluation, we would emphasize more on the new insight by digesting the emerging bio-inspired surgical technologies with potentials to revolutionize the field. Typical approaches, possible applications, advantages and technical challenges were discussed. Evolutions of surgical robotics and future trends were analyzed. It can be found that, the major difficulties in the field of surgical robots may not be properly addressed by only using conventional approaches. As an alternative, bio-inspired methods or materials may shed light on new innovations. While endeavors to deal with existing strategies still need to be made, attentions should be paid to also borrow ideas from nature.

Keywords： minimally invasive surgery surgical robotics haptic feedback miniaturization bio-inspiration bionics

HTML PDF Collect

hexavalent chromium using a porous titanium flow-through electrode and intelligent prediction based on a back

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1697-x

Abstract:

● Titanium-based flow-through electrode achieved high Cr(VI) reduction efficiency.

Keywords： Flow-through electrode Hexavalent chromium Heavy metals Neural network Artificial intelligence

HTML PDF Collect

Genetic Engineering Aims to Take a Bite Out of Insect Pests

Chris Palmer

Engineering 2022, Volume 18, Issue 11, Pages 6-8 doi: 10.1016/j.eng.2022.09.004

HTML PDF Collect

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1, Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: This paper proposes the day-ahead electricity price forecasting using the artificial neural networks (ANN) and weighted least square (WLS) technique in the restructured electricity markets. Price forecasting is very important for online trading, e-commerce and power system operation. Forecasting the hourly locational marginal prices (LMP) in the electricity markets is a very important basis for the decision making in order to maximize the profits/benefits. The novel approach proposed in this paper for forecasting the electricity prices uses WLS technique and compares the results with the results obtained by using ANNs. To perform this price forecasting, the market knowledge is utilized to optimize the selection of input data for the electricity price forecasting tool. In this paper, price forecasting for Pennsylvania-New Jersey-Maryland (PJM) interconnection is demonstrated using the ANNs and the proposed WLS technique. The data used for this price forecasting is obtained from the PJM website. The forecasting results obtained by both methods are compared, which shows the effectiveness of the proposed forecasting approach. From the simulation results, it can be observed that the accuracy of prediction has increased in both seasons using the proposed WLS technique. Another important advantage of the proposed WLS technique is that it is not an iterative method.

Keywords： day-ahead electricity markets price forecasting load forecasting artificial neural networks load serving entities