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Research of the Exponential Smoothing Technology forForecasting Slope Displacement

Shen Liangfeng

Strategic Study of CAE 2007, Volume 9, Issue 6,   Pages 94-97

Abstract:

Exponential smoothing is an efficient method for forecasting and decision-making The forecasting model of exponential smoothing to forecast the displacement at Observation PointAnd it shows that this model may be well applied to the forecast of the displacement in the deformation

Keywords: exponential smoothing     forecasting slope displacement self-adaptive filtering    

Self-adaptive Creating of Truss Ground Structure Based on ANFIS

Li Ying,Hu Yunchang,Cao Hongduo

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 24-27

Abstract: structures of truss structures are intelligently and automatically created by using collateral ANFIS (Adaptive-Network-Based

Keywords: truss     ANFIS     intelligent     self-adaptive    

Towards a self-adaptive service-oriented methodology based on extended SOMA

Alireza PARVIZI-MOSAED,Shahrouz MOAVEN,Jafar HABIBI,Ghazaleh BEIGI,Mahdieh NASER-SHARIAT

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 1,   Pages 43-69 doi: 10.1631/FITEE.1400040

Abstract: We propose a self-adaptive process (SAP) that maintains the software architecture quality using the MAPE-Kand application (SOMA) methodology in a two-layered structure to create a novel methodology, named self-adaptiveservice-oriented architecture methodology (SASOAM), which provides a semi-automatic self-aware methodMoreover, the maintenance activity of SOMA is improved using architectural and adaptive patterns, which

Keywords: Quality attribute     Adaptation pattern     Architectural tactic     Service-oriented architecture     Self-adaptive    

A Self-adaptive Automatic Program Designand Application in Vending Machine

Yu Shiming,Ding Guozheng,Liu Lifeng

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 147-150

Abstract:

To deal with program fault, the method is usually to report them with return-value or emergency.  But, when the program fault emerges in the state-orient model, how to make the program return to the state the fault point belong to or take further corresponding actions, the return-value or emergency can't do. In order to realize processing the fault automatically, this article presents automatic program design with uniting combined coding and state redundant design, and proposes its frame model and algorithm. The model is used for decreasing faults of state-switch("prevent" ) and increasing capability of fault-restore("cure" ). At last, part of the results presented in this paper are applied to a vending machine project and the tests show that the results are satisfactory.

Keywords: self-adaptive     state redundant design     automatic program design     fault-restore     vending machine    

Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 176-183 doi: 10.1007/s11465-010-0001-5

Abstract: The structure and principle of a new type of a diphase opposition giant magnetostrictive self-sensingDynamic balance separation technology for the giant magnetostrictive self-sensing actuator comes trueby the least means square (LMS) self-adapting algorithm.

Keywords: giant magnetostrictive material (GMM) self-sensing actuator     least means square (LMS) self-adapting algorithm     design of self-adaptive circuit    

Investigations concerning seismic response control of self-anchored suspension bridge with MR dampers

YANG Menggang, HU Jianhua

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 1,   Pages 43-48 doi: 10.1007/s11709-008-0011-0

Abstract: To mitigate the seismic response of self-anchored suspension bridges, equations of motion governing thecorresponding computer program is developed and employed for studying the seismic response control of a self-anchoredThe numerical results indicate the longitudinal displacement of the tower top and bridge girder decrease

Keywords: longitudinal displacement     corresponding computer     excitation     phenomenological     self-anchored suspension    

Robust and accurate optimal transportation map by self-adaptive sampling Research Articles

Yingshi Wang, Xiaopeng Zheng, Wei Chen, Xin Qi, Yuxue Ren, Na Lei, Xianfeng Gu,nalei@dlut.edu.cn,gu@cs.stonybrook.edu

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1207-1220 doi: 10.1631/FITEE.2000250

Abstract: plays a fundamental role in many fields in engineering and medicine, including surface parameterization in graphics, registration in computer vision, and generative models in deep learning. For quadratic distance cost, map is the gradient of the Brenier potential, which can be obtained by solving the . Furthermore, it is induced to a geometric convex optimization problem. The is highly non-linear, and during the solving process, the intermediate solutions have to be strictly convex. Specifically, the accuracy of the discrete solution heavily depends on the sampling pattern of the target measure. In this work, we propose a algorithm which greatly reduces the sampling bias and improves the accuracy and robustness of the discrete solutions. Experimental results demonstrate the efficiency and efficacy of our method.

Keywords: 最优传输;Monge-Ampère方程;自适应采样    

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 118-124 doi: 10.1007/s11465-009-0084-z

Abstract: by the possibility theory and certainty factor model; and the diagnosis method on the basis of the adaptivefiltering technique and fuzzy neural network.

Keywords: intelligent diagnosis     neural network     fuzzy algorithm     adaptive filtering     plant machinery    

Significant progress in solution of nonlinear equations at displacement of structure and heat transfer

M. R. AKBARI,D. D. GANJI,M. NIMAFAR,A. R. AHMADI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 390-401 doi: 10.1007/s11465-014-0313-y

Abstract: equations: 1) Static analysis of the structure with variable cross section areas and materials with slope-deflection

Keywords: AGM     extended surface     heat transfer     slope-deflection method    

AKself-adaptive SDNcontroller placement for wide area networks Project supported by the National Article

Peng XIAO,Zhi-yang LI,Song GUO,Heng QI,Wen-yu QU,Hai-sheng YU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 7,   Pages 620-633 doi: 10.1631/FITEE.1500350

Abstract: As a novel architecture, software-defined networking (SDN) is viewed as the key technology of future networking. The core idea of SDN is to decouple the control plane and the data plane, enabling centralized, flexible, and programmable network control. Although local area networks like data center networks have benefited from SDN, it is still a problem to deploy SDN in wide area networks (WANs) or large-scale networks. Existing works show that multiple controllers are required in WANs with each covering one small SDN domain. However, the problems of SDN domain partition and controller placement should be further addressed. Therefore, we propose the spectral clustering based partition and placement algorithms, by which we can partition a large network into several small SDN domains efficiently and effectively. In our algorithms, the matrix perturbation theory and eigengap are used to discover the stability of SDN domains and decide the optimal number of SDN domains automatically. To evaluate our algorithms, we develop a new experimental framework with the Internet2 topology and other available WAN topologies. The results show the effectiveness of our algorithm for the SDN domain partition and controller placement problems.

Keywords: Software-defined networking (SDN)     Controller placement     K self-adaptive method    

LDformer: a parallel neural network model for long-term power forecasting

田冉,李新梅,马忠彧,刘颜星,王晶霞,王楚

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1287-1301 doi: 10.1631/FITEE.2200540

Abstract: Accurate long-term power forecasting is important in the decision-making operation of the power gridHowever, most time-series forecasting models do not perform well in dealing with long-time-series predictionFinally, we propose a probabilistic sparse (ProbSparse) self-attention mechanism combined with UniDrop

Keywords: Long-term power forecasting     Long short-term memory (LSTM)     UniDrop     Self-attention mechanism    

Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1332-1348 doi: 10.1631/FITEE.2200299

Abstract: we propose an interactive segmentation framework, called interactive MEdical image segmentation with self-adaptive

Keywords: Medical image segmentation     Interactive segmentation     Multi-agent reinforcement learning     Confidence learning     Semi-supervised learning    

on the ultrasonic distance measurement system for seabed coblat crusts microtopography based on LMS adaptive

Liu Ai’jun,Zhou Zhijin,Bu Yingyong,Long Yingchun

Strategic Study of CAE 2009, Volume 11, Issue 8,   Pages 79-82

Abstract:

ccording to the principle of single-beam measurement, using ultrasonic transducer ultrasound wave was launched to the seabed floor. Ultrasonic transducer sent ultrasonic signal as a reference signal,the echo signal was delayed several times. Through continuous adjustment of the quantity of delay time, the minimum mean square (LMS) error was gained between the reference signal and the echo signal. The delay time equals to promulgation time. The product of delay time and ultrasonic wave velocity is the distance between ultrasonic transducer and seabed floor. Computer simulation and test results indicated that using minimum mean square error method to measure seabed microtopography, the high precision can be obtained. It can be applied to the seabed microtopography survey.

Keywords: deep-sea coblat-crusts     microtopography     LMS     single-beam measurement     adaptive filtering    

Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 83-95 doi: 10.1631/FITEE.1500334

Abstract: As an application, the derivation of the least mean square algorithm and a nonlinear adaptive algorithm

Keywords: Quaternion     Gradient operator     Signal processing     Least mean square (LMS) algorithm     Nonlinear adaptivefiltering     Adaptive beamforming    

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: To take full advantage of the environmental benefits of wind energy, wind power forecasting has to bePower forecasting for regional wind farm groups is the problem that many power system operators care

Keywords: regional wind power forecasting     feature set     minimal-redundancy-maximal-relevance (mRMR)     principal component    

Title Author Date Type Operation

Research of the Exponential Smoothing Technology forForecasting Slope Displacement

Shen Liangfeng

Journal Article

Self-adaptive Creating of Truss Ground Structure Based on ANFIS

Li Ying,Hu Yunchang,Cao Hongduo

Journal Article

Towards a self-adaptive service-oriented methodology based on extended SOMA

Alireza PARVIZI-MOSAED,Shahrouz MOAVEN,Jafar HABIBI,Ghazaleh BEIGI,Mahdieh NASER-SHARIAT

Journal Article

A Self-adaptive Automatic Program Designand Application in Vending Machine

Yu Shiming,Ding Guozheng,Liu Lifeng

Journal Article

Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Journal Article

Investigations concerning seismic response control of self-anchored suspension bridge with MR dampers

YANG Menggang, HU Jianhua

Journal Article

Robust and accurate optimal transportation map by self-adaptive sampling

Yingshi Wang, Xiaopeng Zheng, Wei Chen, Xin Qi, Yuxue Ren, Na Lei, Xianfeng Gu,nalei@dlut.edu.cn,gu@cs.stonybrook.edu

Journal Article

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

Significant progress in solution of nonlinear equations at displacement of structure and heat transfer

M. R. AKBARI,D. D. GANJI,M. NIMAFAR,A. R. AHMADI

Journal Article

AKself-adaptive SDNcontroller placement for wide area networks Project supported by the National

Peng XIAO,Zhi-yang LI,Song GUO,Heng QI,Wen-yu QU,Hai-sheng YU

Journal Article

LDformer: a parallel neural network model for long-term power forecasting

田冉,李新梅,马忠彧,刘颜星,王晶霞,王楚

Journal Article

Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Journal Article

on the ultrasonic distance measurement system for seabed coblat crusts microtopography based on LMS adaptive

Liu Ai’jun,Zhou Zhijin,Bu Yingyong,Long Yingchun

Journal Article

Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article