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应用完备集合固有时间尺度分解和混合差分进化和粒子群算法优化的最小二乘支持向量机对柴油机进行故障诊断 Article

俊红 张,昱 刘

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2,   Pages 272-286 doi: 10.1631/FITEE.1500337

Abstract: 针对固有时间尺度分解算法的模态混叠问题和最小二乘支持向量机的参数优化问题，本文提出了一种新的基于完备集合固有时间尺度分解和混合差分进化和粒子群算法优化最小二乘支持向量机的柴油机故障诊断方法。该方法主要包括以下几个步骤：首先，为解决固有时间尺度分解算法的模态混叠问题，提出了一种完备集合固有时间尺度分解算法。随后，利用完备集合固有时间尺度分解算法将非平稳的柴油机振动信号分解为一系列平稳的旋转分量和残差信号。仿真和实验结果表明提出的故障诊断方法可以克服固有时间尺度分解的模态混叠问题，而且能够准确的识别柴油机故障。

Keywords： 柴油机；故障诊断；完备集合固有时间尺度分解；最小二乘支持向量机；混合差分进化和粒子群优化算法    

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Distresses and Countermeasures of Highway Subgrade in Plateau Permafrost Regions

Wang Shuangjie,Jin Long,Mu Ke,Zhu Dongpeng,Chen Donggen and Dong Yuanhong

Strategic Study of CAE 2017, Volume 19, Issue 6,   Pages 140-146 doi: 10.15302/J-SSCAE-2017.06.020

Abstract:

This study collects the maintenance history, reconstruction material, and disease data of the Qinghai–Tibet Highway (QTH) over the past 60 years. The QTH is then divided into a stable region, a basically stable region, an unstable region, and a highly unstable region according to the road disease rate. Subsequently, 134 km typical disease sections are selected, and the relations between the road diseases and the mean annual ground temperature (MAGT), permafrost degradation rate, and ice content are studied based on the survey data. The average road service life is also determined. Newly developed diseases and their temporal effect are analyzed using the treatment measure. Furthermore, new stabilizing technologies adaptive to large-scale permafrost subgrade (e.g., distributed ventilation subgrade, unidirectional heat conduction board subgrade, and integrated pavement-subgrade heat drainage structure) are introduced. The results show that the MAGT, degradation rate of permafrost tables, and ice content are negatively related to the road service life. In all kinds of treatment measures, thermosyphon, crushed-rock, insulation board, and ventilation duct plus flag and block stone have a higher effective rate in heat prevention compared to other measures.

Keywords： permafrost     temporal effect     subgrade distress     field investigation     large-scale subgrade     stabilizing technology    

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Block coordinate descent with time perturbation for nonconvex nonsmooth problems in real-world studies Research Article

Rui Liu, Wei-chu Sun, Tao Hou, Chun-hong Hu, Lin-bo Qiao,liuruirui@csu.edu.cn,smsysun@foxmail.com,houtao@csu.edu.cn,huchunhong@csu.edu.cn,qiao.linbo@nudt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 10,   Pages 1390-1403 doi: 10.1631/FITEE.1900341

Abstract: The era of big data in healthcare is here, and this era will significantly improve medicine and especially oncology. However, traditional machine learning algorithms need to be promoted to solve such large-scale real-world problems due to a large amount of data that needs to be analyzed and the difficulty in solving problems with nonconvex nonlinear settings. We aim to minimize the composite of a smooth nonlinear function and a block-separable nonconvex function on a large number of block variables with inequality constraints. We propose a novel parallel first-order optimization method, called asynchronous block coordinate descent with (ATP), which adopts a technique that escapes from saddle points and sub-optimal local points. The details of the proposed method are presented with analyses of convergence and iteration complexity properties. Experiments conducted on real-world machine learning problems validate the efficacy of our proposed method. The experimental results demonstrate that enables ATP to escape from saddle points and sub-optimal points, providing a promising way to handle nonconvex optimization problems with inequality constraints employing asynchronous block coordinate descent. The asynchronous parallel implementation on shared memory multi-core platforms indicates that the proposed algorithm, ATP, has strong scalability.

Keywords： 收敛分析；异步块坐标下降法；时间扰动；非凸非平滑优化；真实世界研究    

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Calculation and research on deepwater drilling riser flexural equation and natural frequency

Jiang Wei

Strategic Study of CAE 2011, Volume 13, Issue 5,   Pages 66-73

Abstract:

Flexural equation was established in this paper, which was based on application of deepwater drilling riser and Ritz methods in elastoplastic mechanics. Axial tension, inclination angle, lateral gravity components and axial gravity components were considered. Therefore, simple calculation method for natural frequency of drilling riser was achieved. Free-hinged beam was taken as constraint condition of flexural equation combined with drilling string real conditions, which made research approach practical work more. Purpose of research was to provide reasonable design and selection for deepwater drilling riser, and provide a more efficient and applied method, which would show guiding significance for deepwater drilling operation.

Keywords： deepwater drilling     drilling riser     flexural equation     natural frequency     shape function    

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A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-Factor Analysis and a Multi-Model Ensemble Article

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Engineering 2021, Volume 7, Issue 12,   Pages 1751-1765 doi: 10.1016/j.eng.2020.10.023

Abstract:

Dissolved oxygen (DO) is an important indicator of aquaculture, and its accurate forecasting can effectively improve the quality of aquatic products. In this paper, a new DO hybrid forecasting model is proposed that includes three stages: multi-factor analysis, adaptive decomposition, and an optimization-based ensemble. First, considering the complex factors affecting DO, the grey relational (GR) degree method is used to screen out the environmental factors most closely related to DO. The consideration of multiple factors makes model fusion more effective. Second, the series of DO, water temperature, salinity, and oxygen saturation are decomposed adaptively into sub-series by means of the empirical wavelet transform (EWT) method. Then, five benchmark models are utilized to forecast the sub-series of EWT decomposition. The ensemble weights of these five sub-forecasting models are calculated by particle swarm optimization and gravitational search algorithm (PSOGSA). Finally, a multi-factor ensemble model for DO is obtained by weighted allocation. The performance of the proposed model is verified by time-series data collected by the pacific islands ocean observing system (PacIOOS) from the WQB04 station at Hilo. The evaluation indicators involved in the experiment include the nash-sutcliffe efficiency (NSE), kling-gupta efficiency (KGE), mean absolute percent error (MAPE), standard deviation of error (SDE), and coefficient of determination (R2). Example analysis demonstrates that: ① the proposed model can obtain excellent DO forecasting results; ② the proposed model is superior to other comparison models; and ③ the forecasting model can be used to analyze the trend of DO and enable managers to make better management decisions.

Keywords： Dissolved oxygen concentrations forecasting     Time-series multi-step forecasting     Multi-factor analysis     Empirical wavelet transform decomposition     Multi-model optimization ensemble    

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Stability of Boolean networks with state-dependent random impulses

Ya-wen Shen, Yu-qian Guo, Wei-hua Gui,shenyawen@csu.edu.cn,gyuqian@csu.edu.cn,gwh@csu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900454

Abstract: We investigate the stability of Boolean networks (BNs) with impulses triggered by both states and random factors. A hybrid index model is used to describe impulsive BNs. First, several necessary and sufficient conditions for are obtained. Second, based on the stability criterion of probabilistic BNs and the criterion, the necessary and sufficient conditions for the and the are presented. The relationship between these two kinds of stability is discussed. Last, examples and time-domain simulations are provided to illustrate the obtained results.

Keywords： Boolean network with impulses     Forward completeness     Finite-time stability with probability one     Asymptotical stability in distribution    

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Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 47-53

Abstract:

In this paper, incomplete fuzzy information system is studied. In order to deal with it by rough set theory, fuzzy compatible relation and fuzzy rough approximation are defined by logic function. Furthermore, fuzzy covering on universe is proposed, three different operations on the coverings are formed and then some significant results are gained. Besides, with the two new definitions of fuzzy rough entropies, uncertain factors could be effectively measured, some important relationships between the varieties of uncertain factors and the strength of those entropies are discussed carefully. Finally, knowledge dependency in rough set theory is transformed to fuzzy knowledge dependency in the incomplete fuzzy information system. A new method for measuring the strength of partial fuzzy knowledge dependency is proposed. Some immediate theorems are proved.

Keywords： incomplete fuzzy information system     fuzzy compatible relation     fuzzy rough set     fuzzy covering     fuzzy rough entropy     fuzzy knowledge dependency    

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A distributed EEMDN-SABiGRU model on Spark for passenger hotspot prediction

夏大文,耿建,黄瑞曦,申冰琪,胡杨,李艳涛,李华青

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1316-1331 doi: 10.1631/FITEE.2200621

Abstract: To address the imbalance problem between supply and demand for taxis and passengers, this paper proposes a distributed ensemble empirical mode decomposition with normalization of spatial attention mechanism based bi-directional gated recurrent unit (EEMDN-SABiGRU) model on Spark for accurate passenger hotspot prediction. It focuses on reducing blind cruising costs, improving carrying efficiency, and maximizing incomes. Specifically, the EEMDN method is put forward to process the passenger hotspot data in the grid to solve the problems of non-smooth sequences and the degradation of prediction accuracy caused by excessive numerical differences, while dealing with the eigenmodal EMD. Next, a spatial attention mechanism is constructed to capture the characteristics of passenger hotspots in each grid, taking passenger boarding and alighting hotspots as weights and emphasizing the spatial regularity of passengers in the grid. Furthermore, the bi-directional GRU algorithm is merged to deal with the problem that GRU can obtain only the forward information but ignores the backward information, to improve the accuracy of feature extraction. Finally, the accurate prediction of passenger hotspots is achieved based on the EEMDN-SABiGRU model using real-world taxi GPS trajectory data in the Spark parallel computing framework. The experimental results demonstrate that based on the four datasets in the 00-grid, compared with LSTM, EMD-LSTM, EEMD-LSTM, GRU, EMD-GRU, EEMD-GRU, EMDN-GRU, CNN, and BP, the mean absolute percentage error, mean absolute error, root mean square error, and maximum error values of EEMDN-SABiGRU decrease by at least 43.18%, 44.91%, 55.04%, and 39.33%, respectively.

Keywords： Passenger hotspot prediction     Ensemble empirical mode decomposition (EEMD)     Spatial attention mechanism     Bi-directional gated recurrent unit (BiGRU)     GPS trajectory     Spark    

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Synchronization transition of a modular neural network containing subnetworks of different scales Research Article

Weifang HUANG, Lijian YANG, Xuan ZHAN, Ziying FU, Ya JIA,jiay@ccnu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1458-1470 doi: 10.1631/FITEE.2300008

Abstract: Time delay and coupling strength are important factors that affect the of neural networks. In this study, a containing s of different scales was constructed using the ;Huxley (HH) neural model; i.‍e., a small-scale random network was unidirectionally connected to a large-scale small-world network through chemical synapses. Time delays were found to induce multiple transitions in the network. An increase in coupling strength also promoted of the network when the time delay was an integer multiple of the firing period of a single neuron. Considering that time delays at different locations in a modular network may have different effects, we explored the influence of time delays within each and between two s on the of modular networks. We found that when the s were well synchronized internally, an increase in the time delay within both s induced multiple transitions of their own. In addition, the state of the small-scale network affected the of the large-scale network. It was surprising to find that an increase in the time delay between the two s caused the factor of the modular network to vary periodically, but it had essentially no effect on the within the receiving . By analyzing the phase difference between the two s, we found that the mechanism of the periodic variation of the factor of the modular network was the periodic variation of the phase difference. Finally, the generality of the results was demonstrated by investigating modular networks at different scales.

Keywords： Hodgkin–     Huxley neuron     Modular neural network     Subnetwork     Synchronization     Transmission delay    

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Faster fog-aided private set intersectionwith integrity preserving None

Qiang WANG, Fu-cai ZHOU, Tie-min MA, Zi-feng XU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 12,   Pages 1558-1568 doi: 10.1631/FITEE.1800518

Abstract:

Private set intersection (PSI) allows two parties to compute the intersection of their private sets while revealing nothing except the intersection. With the development of fog computing, the need has arisen to delegate PSI on outsourced datasets to the fog. However, the existing PSI schemes are based on either fully homomorphic encryption (FHE) or pairing computation. To the best of our knowledge, FHE and pairing operations consume a huge amount of computational resource. It is therefore an untenable scenario for resource-limited clients to carry out these operations. Furthermore, these PSI schemes cannot be applied to fog computing due to some inherent problems such as unacceptable latency and lack of mobility support. To resolve this problem, we first propose a novel primitive called “faster fog-aided private set intersection with integrity preserving”, where the fog conducts delegated intersection operations over encrypted data without the decryption capacity. One of our technical highlights is to reduce the computation cost greatly by eliminating the FHE and pairing computation. Then we present a concrete construction and prove its security required under some cryptographic assumptions. Finally, we make a detailed theoretical analysis and simulation, and compare the results with those of the state-of-the-art schemes in two respects: communication overhead and computation overhead. The theoretical analysis and simulation show that our scheme is more efficient and practical.

Keywords： Private set intersection     Fog computing     Verifiable     Data privacy    

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Studies on the Inhibition of Impurities in Caustic Decomposition of Tungsten Concentrates

Li Honggui,Li Yunjiao,Sun Peimei,Liu Maosheng

Strategic Study of CAE 2000, Volume 2, Issue 3,   Pages 59-61

Abstract:

The Inhibition of impurities of As, P, Si and Sn in the caustic decomposition of tungsten concentrates was studied. It indicated that in the presence of scheelite (CaWO4) and Ca(OH)2, during caustic decomposition of sdheelite with NaOH, impurities, such as As, P, Si, will be more completely inhibited in the cake in the forms of NaCaAsO4, Ca3(AsO4)2, Ca3(PO4)2，Ca5(PO4)3(OH)，CaSO3 and CaSnO3. It has been proved in laboratory experiment and industrial practice that the content of As and Si in the Na2WO4 solution from caustic decomposition of scheelite and wolframite mixed concentrates is only 20%〜30% of that from caus-tic decomposition of wolframite concentrates with the same contents of WO3 and impurities.

Keywords： metallurgy of tungsten     caustic decomposition     inhibition of impurities    

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The Realization of Time-Triggered Control Area Network

Lü Weijie,,Liu Luyuan,Wang Yixin

Strategic Study of CAE 2005, Volume 7, Issue 9,   Pages 40-43

Abstract:

The time-triggered architecture for CAN is analyzed. The implementation issue of time- triggered architecture based on 8052 single-chip processor and CAN controller SJA1000 is designed. The maximum number of transmission messages in basic cycle is given. And the scheduling capability is analyzed. The experiment is based on the automotive engine management, the result proves that using time-triggered architecture can not only manage the message transmission but also improve the bandwidth utilization.

Keywords： time-triggered     time synchronization     CANbus     distributed control systems    

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Noise Reduction of Vibration Signal of Cyclic Machine Based on the EMD

Yang Jianwen,Jia Minping,Xu Feiyun,Hu Jianzhong

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 66-69

Abstract:

The filtering property of empirical mode decomposition is analyzed in the paper. Aimed at the low signal/noise ratio and non stationary feature of vibration signal of cyclic machine, EMD is introduced to the noise reduction of vibration signal and the useful signal is given prominence efficiently, which offers the more efficient foundation to monitor on line and fault diagnosis of cyclic machine. By the simulation and application, it shows that EMD is very useful in reducing noise and provides new means of vibration signal analyzing.

Keywords： fault diagnosis     empirical mode decomposition     cyclic machine     filter    

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Cascading decomposition of Boolean control networks: a graph-theoreticalmethod Research Articles

Yi-feng LI, Jian-dong ZHU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 304-315 doi: 10.1631/FITEE.1900422

Abstract: Two types of cascading decomposition problems of Boolean control networks are investigated using a raph-theoretical method. A new graphic concept called nested perfect equal vertex partition (NPEVP) is proposed. Based on NPEVP, the necessary and sufficient graphic conditions for solvability of the cascading decomposition problems are obtained. Given the proposed graphic conditions, the logical coordinate transformations are constructively obtained to realize the corresponding cascading decomposition forms. Finally, two illustrative examples are provided to validate the results.

Keywords： Boolean control networks     Semi-tensor product     Cascading decomposition     Graphic condition    

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Title Author Date Type Operation

应用完备集合固有时间尺度分解和混合差分进化和粒子群算法优化的最小二乘支持向量机对柴油机进行故障诊断

俊红 张,昱 刘

Journal Article

Distresses and Countermeasures of Highway Subgrade in Plateau Permafrost Regions

Wang Shuangjie,Jin Long,Mu Ke,Zhu Dongpeng,Chen Donggen and Dong Yuanhong

Journal Article

Block coordinate descent with time perturbation for nonconvex nonsmooth problems in real-world studies

Rui Liu, Wei-chu Sun, Tao Hou, Chun-hong Hu, Lin-bo Qiao,liuruirui@csu.edu.cn,smsysun@foxmail.com,houtao@csu.edu.cn,huchunhong@csu.edu.cn,qiao.linbo@nudt.edu.cn

Journal Article

Calculation and research on deepwater drilling riser flexural equation and natural frequency

Jiang Wei

Journal Article

A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-Factor Analysis and a Multi-Model Ensemble

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Journal Article

Stability of Boolean networks with state-dependent random impulses

Ya-wen Shen, Yu-qian Guo, Wei-hua Gui,shenyawen@csu.edu.cn,gyuqian@csu.edu.cn,gwh@csu.edu.cn

Journal Article

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article

A distributed EEMDN-SABiGRU model on Spark for passenger hotspot prediction

夏大文,耿建,黄瑞曦,申冰琪,胡杨,李艳涛,李华青

Journal Article

Exploring the Logic and Landscape of the Knowledge System: Multilevel Structures, Each Multiscaled with Complexity at the Mesoscale

Jinghai Li

Journal Article

Synchronization transition of a modular neural network containing subnetworks of different scales

Weifang HUANG, Lijian YANG, Xuan ZHAN, Ziying FU, Ya JIA,jiay@ccnu.edu.cn

Journal Article

Faster fog-aided private set intersectionwith integrity preserving

Qiang WANG, Fu-cai ZHOU, Tie-min MA, Zi-feng XU

Journal Article

Studies on the Inhibition of Impurities in Caustic Decomposition of Tungsten Concentrates

Li Honggui,Li Yunjiao,Sun Peimei,Liu Maosheng

Journal Article

The Realization of Time-Triggered Control Area Network

Lü Weijie,,Liu Luyuan,Wang Yixin

Journal Article

Noise Reduction of Vibration Signal of Cyclic Machine Based on the EMD

Yang Jianwen,Jia Minping,Xu Feiyun,Hu Jianzhong

Journal Article

Cascading decomposition of Boolean control networks: a graph-theoreticalmethod

Yi-feng LI, Jian-dong ZHU

Journal Article