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基于ARIMA和Kalman滤波的道路交通状态实时预测 Article

东伟徐,永东王,利民贾,勇秦,宏辉董

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2, Pages 287-302 doi: 10.1631/FITEE.1500381

Abstract: 本文提出了一种基于ARIMA模型和Kalman滤波算法的道路交通流预测方法。首先，基于道路交通历史数据建立时间序列的ARIMA模型。其次，结合ARIMA模型和Kalman滤波法构建道路交通预测算法，获取Kalman滤波的测量方程和更新方程。然后，基于历史道路交通数据进行算法的参数设定。实验结果表明，基于ARIMA模型和Kalman滤波的实时道路交通状态预测方法是可行的，并且可以获得很高的精度。

Keywords： ARIMA模型；Kalman滤波；建模；训练；预测

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State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Strategic Study of CAE 2004, Volume 6, Issue 3, Pages 68-74

Abstract:

The aim of the present review is to provide the reader with a brief discussion on the mathematical modeling techniques, currently available for compartment fires. The relevant underlying physical assumptions are presented first and the conventional model performance is analyzed in the range of application. The final part of the review deals with current trends and perspective of mathematic fire models and highlights the need for extensive validation studies and interaction between theoretical and experimental investigations.

Keywords： compartment field model zone model network model FZN (field zone and network) model empirical model

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Study on hydrodynamic and synthetic water quality model for river networks

Zhang Mingliang,Shen Yongming

Strategic Study of CAE 2008, Volume 10, Issue 10, Pages 78-83

Abstract:

The Preissmann implicit scheme is used to discrete the one-dimensional Saint-Venant equation and the river-junction-river method is applied to resolve the hydrodynamic mathematical model for river networks. Based on the characteristics of river-junction-river method and the theory of WASP, the synthetic water quality model is set up for river networks, which includes many contamination variables and considers the transform and transplant of the contamination variables. This model is applied to simulate four river networks, the results of elevations and flows agree with the data, the result of contamination variables agree with the measured data. These results show this model is credible and it is a practical tool for forecast and management of water quality in river networks.

Keywords： Preissmann implicit scheme river networks hydrodynamic model water quality model WASP model

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Analysis on the principle-agent model in construction project supply chain

Wu Yuhua,Zhang Qingmin

Strategic Study of CAE 2008, Volume 10, Issue 5, Pages 75-78

Abstract:

General form of principle-agent model in integrated supply chain has been discussed from principle-agent Theories. Based on the above model, construction project supply chain one-period principle-agent model and multi-period construction project supply chain reputation model have been built with the characters of principle and agent of construction project integrated supply chain.

Keywords： principle- agent model incentive compatibility reputation model random walk

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Research on 4-adj model for determination of spatial relations in spattio model

Li Chengming

Strategic Study of CAE 2013, Volume 15, Issue 5, Pages 37-41

Abstract:

The concept of spattio model is proposed firstly in this paper. Furthermore, it points out that the graphic system based on spattio model will degenerate into a simple geodatabase if it doesn't have the ability to dynamically generate spatial relations. At last, the paper proposes the new method called four-adjacent mathematical model (4-adj model) based on Voronoi diagram to dynamically infer the spatial relations in spattio model, and gives the only complete inference rules, together with the advantage and disadvantage.

Keywords： spattio model spattio object Voronoi diagram 4-adj model

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Research of trust valuation based on cloud model

Lu Feng,Wu Huizhong

Strategic Study of CAE 2008, Volume 10, Issue 10, Pages 84-90

Abstract:

At present, the existing descriptions of trust by trust valuation models lack comprehensiveness. To solve this problem, this paper discusses the co-existence and integration of fuzziness and randomness of trust relation, analyzes the ways cloud models describe uncertain concepts and the algorithms cloud models transform between qualitative concepts and their quantitative expressions, and presents trust cloud, a trust evaluation model based on cloud theory. This model provides the algorithms of trust information transfer and combination described by digital characteristics. While describing accurate trust expectation, this model portrays the uncertainty through entropy and hyper entropy. Compared with traditional trust valuation models, trust values obtained in this model contains more semantic information, indicating that valuation results from the model are more suitable as evidence for decision-making on trust.

Keywords： trust valuation trust model cloud model cloud generator

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A saliency and Gaussian net model for retinal vessel segmentation Research Articles

Lan-yan XUE, Jia-wen LIN, Xin-rong CAO, Shao-hua ZHENG, Lun YU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8, Pages 1075-1086 doi: 10.1631/FITEE.1700404

Abstract: Retinal vessel segmentation is a significant problem in the analysis of fundus images. A novel deep learning structure called the Gaussian net (GNET) model combined with a saliency model is proposed for retinal vessel segmentation. A saliency image is used as the input of the GNET model replacing the original image. The GNET model adopts a bilaterally symmetrical structure. In the left structure, the first layer is upsampling and the other layers are max-pooling. In the right structure, the final layer is max-pooling and the other layers are upsampling. The proposed approach is evaluated using the DRIVE database. Experimental results indicate that the GNET model can obtain more precise features and subtle details than the UNET models. The proposed algorithm performs well in extracting vessel networks, and is more accurate than other deep learning methods. Retinal vessel segmentation can help extract vessel change characteristics and provide a basis for screening the cerebrovascular diseases.

Keywords： Retinal vessel segmentation Saliency model Gaussian net (GNET) Feature learning

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Multi-band Synchronization Model for Speech Recognition Under Noisy Condition

Sun Wei,Wu Zhenyang

Strategic Study of CAE 2006, Volume 8, Issue 3, Pages 31-34

Abstract:

Based on perception characteristic of human ear, this paper proposes synchronization multi-band maximum likelihood linear regression algorithm for robust speech recognition under noisy condition. The algorithm utilizes maximum likelihood as estimation criteria to compensate the effects of noisy condition with multi-band synchronization model and noise corruption assumption. The tests show that the proposed algorithm improves the performance of recognition system effectively.

Keywords： hidden Markov model maximum likelihood multi-band synchronization model speech recognition

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Supervised topic models with weighted words: multi-label document classification None

Yue-peng ZOU, Ji-hong OUYANG, Xi-ming LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4, Pages 513-523 doi: 10.1631/FITEE.1601668

Abstract: Supervised topic modeling algorithms have been successfully applied to multi-label document classification tasks. Representative models include labeled latent Dirichlet allocation (L-LDA) and dependency-LDA. However, these models neglect the class frequency information of words (i.e., the number of classes where a word has occurred in the training data), which is significant for classification. To address this, we propose a method, namely the class frequency weight (CF-weight), to weight words by considering the class frequency knowledge. This CF-weight is based on the intuition that a word with higher (lower) class frequency will be less (more) discriminative. In this study, the CF-weight is used to improve L-LDA and dependency-LDA. A number of experiments have been conducted on real-world multi-label datasets. Experimental results demonstrate that CF-weight based algorithms are competitive with the existing supervised topic models.

Keywords： Supervised topic model Multi-label classification Class frequency Labeled latent Dirichlet allocation (L-LDA) Dependency-LDA

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Design and analysis for health-diagnosis-oriented test model of cable stayed bridge

Zhang Guogang,Fang Zhi,Tang Shenghua,Chen Sujun,Chen Feng

Strategic Study of CAE 2012, Volume 14, Issue 11, Pages 49-56

Abstract:

Taking the Hesheng Bridge as the prototype, a health-diagnosis-oriented concrete cable-stayed model bridge was designed and made with a scale of 1∶15 based on similarity theory, problems and solutions were analyzed in model design process. The initial finite element model(FEM) of prototype and model bridge were established and the baseline FEM were computed after model updating. The static and dynamic characteristic similarity of the model and prototype bridge was analyzed at undamaged and damage states. The results show that after a variety of simplifications and treatments, the static and dynamic characteristic and damage characteristic of model and prototype bridge still have a good similarity. The method can provide a reference for the model design of concrete cable stayed bridge.

Keywords： concrete cable-stayed bridge model design model updating damage diagnosis

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Beyond Pasteur’s Quadrant Model: A New Dynamic Model of Basic Research and its Implementation

Zhang Huiqin, Wang Xin, Wang Xu, Sun Changpu

Strategic Study of CAE 2021, Volume 23, Issue 4, Pages 145-152 doi: 10.15302/J-SSCAE-2021.04.017

Abstract:

Basic research inspired by national interest is critical for the promotion of China’s innovation capacity and global competitiveness in science and technology; it is also a major driving force for disruptive technologies. Therefore, the concept and development law of basic research inspired by national interest should be well studied to guide the development of basic research. In this study, we review the connotation and application of the linear model of innovation proposed by Vannevar Bush and the Pasteur’s quadrant model proposed by Donald Stokes. Based on these models, we introduce basicness and useness dimensions along with a time dimension and develop a new three-dimensional dynamic model of basic research. The development of intense lasers fits this new model well and clearly demonstrates the spiral upward interactions among basic research, applied research, and technology development inspired by national interest. On the basis of this new model of basic research development, we emphasize the importance of falsifiability and research integrity, and the decisive role of basic research on the key technologies. Besides, the subjective misguidance of researches inspired by national interest should be avoided.

Keywords： basic research research inspired by demand Bush’s linear model of innovation Pasteur’s quadrant model dynamic model of basic research falsifiability

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Research on structural health monitoring (SHM) system based on RTK GPS system

Wang Renpeng,Yao Lianbi,Meng Xiaolin

Strategic Study of CAE 2011, Volume 13, Issue 3, Pages 63-70

Abstract:

For the huge amount of raw data that were obtained during field data acquisition by the real-time kinematic global positioning system (RTK GPS) in structural health monitoring (SHM) system of the Nanpu Bridge in Shanghai, we finished lots of processing works and obtain x-coordinate , y-coordinate,z-coordinate time series of all 12 monitoring station points. The coordinate time series were treated as the multi-outputs of the dynamic system and used to build the state space model and ARMA model and spectrum estimations for the response. The analysis results were consistent with the results of test that completed when the bridge was opened in 1990 and results that forecasted by fine finite element (FE) model. The research illustrated that the state-space model and ARMA model were efficient tools for evaluation of performance of civil structures, and furtherly proved the possibility of building the prototype SHM that based on RTK GPS.

Keywords： RTK GPS system time series state-space model ARMA model finite element model

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Research on “Internet Plus” Economic Model and Evaluation System

He Wei,Sun Ke

Strategic Study of CAE 2018, Volume 20, Issue 2, Pages 9-14 doi: 10.15302/J-SSCAE-2018.02.002

Abstract:

Integration of the Internet with various industries has currently become an inevitable trend. The Chinese government has thus promoted positive strategic innovation through rapid global implementation of the "Internet Plus" strategy. This study analyzes the transmission mechanism of "Internet Plus" for economic growth and structural transformation through the construction of a theoretical model. Based on the current progress of "Internet Plus" in China, this study aims at listing and classifying the evaluation index of "Internet Plus" for formulating a valid evaluation system. The proposed system can be applied for assessing the efficiency of resource inputs, the level of application integration, and the extent of collaborative innovation. Furthermore, the proposed study can help evaluate and thereby demonstrate the development trends of the manufacturing intelligence of "Internet Plus".

Keywords： Internet Plus economic model evaluation system

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Engineering Application of FEM Updating Technology

Chen Decheng,Wei Zhensong,Qu Guangji,Zhu An wen,Xiao Yifang

Strategic Study of CAE 2001, Volume 3, Issue 10, Pages 59-63

Abstract:

In this paper, focusing on practical engineering application of Finite Element Model (FEM) updating technology, the authors discuss some key problems and bring forward their own points of view. This paper explains the basic thought and numerical method of a FEM updating approach that has achieved the level of practical engineering application. This paper also presents the difficulties in the practical engineering application of Finite Element Model (FEM) updating technology, and indicates the ways by which those difficulties can be solved.

Keywords： FEM updating test model sensitivity dynamic reduction natural frequency mode shape

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Forecast of fire accidents based on Grey-Markov model

Mao Zhanli,ZhuYi,Yang Bozhong,ZhuLei

Strategic Study of CAE 2010, Volume 12, Issue 1, Pages 98-101

Abstract:

The occurrence of fire accidents is influenced by many complex factors, and it has the characteristics of random and fluctuation, so grey model and Markov model are combined together to establish a new Grey-Markov model in this paper .The paper adopts grey model and Markov model to show grey feature and random separately, at last the model is used to predict fire accidents in countryside. The result shows the forecast precision of Grey-Markov model is higher than the forecast precision of grey model, the model can satisfy the demand in forecast precision, and it can be used for fire accidents forecast.

Keywords： Grey model Markov model fire accidents forecast