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Integrative approach for predicting drug-target interactions via matrix factorization and broad learning systems

Mathematical Biosciences and engineering 2024年第2期21卷 2608-2625页

作者： Xu, Wanying Yang, Xixin Guan, Yuanlin Cheng, Xiaoqing Wang, Yu College of Computer Science & Technology Qingdao University Qingdao266071 China School of Automation Qingdao University Qingdao266071 China Key Lab of Industrial Fluid Energy Conservation and Pollution Control Ministry of Education Qingdao University of Technology Qingdao266520 China School of Mechanical & Automotive Engineering Qingdao University of Technology Qingdao266520 China

In the drug discovery process, time and costs are the most typical problems resulting from the experimental screening of drug-target interactions (DTIs). To address these limitations, many computational methods have been developed to achieve more accurate predictions. However, identifying DTIs mostly rely on separate learning tasks with drug and target features that neglect interaction representation between drugs and target. In addition, the lack of these relationships may lead to a greatly impaired performance on the prediction of DTIs. Aiming at capturing comprehensive drug-target representations and simplifying the network structure, we propose an integrative approach with a convolution broad learning system for the DTI prediction (ConvBLS-DTI) to reduce the impact of the data sparsity and incompleteness. First, given the lack of known interactions for the drug and target, the weighted K-nearest known neighbors (WKNKN) method was used as a preprocessing strategy for unknown drug-target pairs. Second, a neighborhood regularized logistic matrix factorization (NRLMF) was applied to extract features of updated drug-target interaction information, which focused more on the known interaction pair parties. Then, a broad learning network incorporating a convolutional neural network was established to predict DTIs, which can make classification more effective using a different perspective. Finally, based on the four benchmark datasets in three scenarios, the ConvBLS-DTI’s overall performance out-performed some mainstream methods. The test results demonstrate that our model achieves improved prediction effect on the area under the receiver operating characteristic curve and the precision-recall curve. ©2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://***/licenses/by/4.0)

关键词： Learning systems

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Finite Sample Analysis for a Class of Subspace Identification Methods 63

Finite Sample Analysis for a Class of Subspace Identificatio...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： He, Jiabao Ziemann, Ingvar Rojas, Cristian R. Hjalmarsson, Hakan Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm100 44 Sweden University of Pennsylvania PhiladelphiaPA19104 United States

ISBN: (纸本)9798350316339

While subspace identification methods (SIMs) are appealing due to their simple parameterization for MIMO systems and robust numerical realizations, a comprehensive statistical analysis of SIMs remains an open problem, especially in the non-asymptotic regime. In this work, we provide a finite sample analysis for a class of SIMs, which reveals that the convergence rates for estimating Markov parameters and system matrices are O(1 / SN), in line with classical asymptotic results. Based on the observation that the model format in classical SIMs is non-causal because of a projection step, we choose a parsimonious SIM that bypasses the projection step and strictly enforces a causal model to facilitate the analysis, where a bank of ARX models are estimated in parallel. Leveraging recent results from a finite sample analysis of an individual ARX model, we obtain a union error bound for an array of ARX models and proceed to derive error bounds for system matrices using robustness results for the singular value decomposition. © 2024 IEEE.

关键词： Singular value decomposition

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SPM: estimating payload locations of QIM-based steganography in low-bit-rate compressed speeches

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Multimedia Tools and Applications 2024年第37期83卷 85227-85252页

作者： Zhang, Cheng Jiang, Shujuan Chen, Zhong School of Computer Science and Technology China University of Mining and Technology Da Xue Road Jiang Su Xuzhou221116 China Engineering Research Center of Mine Digitalization China University of Mining and Technology Ministry of Education Da Xue Road Jiang Su Xuzhou221116 China School of Information and Control Engineering China University of Mining and Technology Da Xue Road Jiang Su Xuzhou221116 China

Steganography, adopted to hide secret information into multiple digital carriers, has been widely used by lawbreakers for spiteful purposes, posing a threat to cyber security. Recently, VoIP speech (compressed speech) has been determined as a suitable carrier for steganography. Among the existing VoIP steganography algorithms, QIM-based VoIP steganography has great stealthiness, making it hard to detect. Although some existing studies have been conducted on detecting QIM-based VoIP steganography, some major challenges still exist that need to be addressed. First, no previous study attempts to estimate the payload locations of QIM-based VoIP steganography, a potential research direction, and a practical way of reducing the search space to recover hidden information. Second, the detection performance of existing models on QIM-based VoIP steganography still has a huge room for improvement. To address the above issues, this paper proposes a novel method called the Steganography Payload-localization Model (SPM) as a countermeasure for QIM-based VoIP steganography. Experimental results show that SPM can estimate the payload locations and perform real-time steganalysis regarding QIM-based VoIP steganography with superb performance. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Steganography

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Leveraging Data Fitting and Trust Assessment to Improve the Security of Industrial Networks

Leveraging Data Fitting and Trust Assessment to Improve the ...

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第43届中国控制会议

作者： Heng Zhang Yinchu Wang Yawen Xue Ruilong Deng Hongran Li Jian Zhang School of Computer Engineering Jiangsu Ocean University College of Control Science and Engineering Zhejiang University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Industrial network control systems(INCSs) are easy to be targeted by attackers due to their high economic *** of the existing defense methods are deployed at the network boundary,which causes high-security risks to INCS once an attacker enters the *** addition,many existing intrusion detection systems(IDSs) build detection models based on historical *** INCS lacks sufficient historical data,it is difficult to build detection models with high *** this paper,we propose a trust assessment model for INCS based on Fourier series fitting employing concept of zero trust to assess the real-time trust of *** model alerts when INCS has low *** test two data injection attacks in the experiment to prove the effectiveness of our approach.

关键词： Zero Trust Fourier Series Curve Fitting Sliding Window Industrial control System

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Intelligent Manufacturing Transformation Development Strategy of Jilin City Automobile Industry: A Research Based on SWOT-AHP Model 2nd

Intelligent Manufacturing Transformation Development Strateg...

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2nd International Conference on Intelligent Systems Design and engineering Applications, ISDEA 2023

作者： Jia, Li Xu, Ding Shuang, Guo School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin132022 China School of Computer Science Northeast Electric Power University Jilin132012 China Science and Technology Institute of Jilin City Jilin132022 China

ISBN: (纸本)9789819963027

This paper proposes the development strategy for Intelligent manufacturing transformation, with the help of both SWOT analysis and AHP analysis, in the case of focusing on the Jilin city Automobile Industry. Firstly found the influence factors of Jilin city automobile industry’s intelligent manufacturing transformation, based on SWOT analysis. Secondly, the AHP quantitative analysis model is constructed, and the Delphi survey method is used for quantitative calculation that had been taken Consistency checking results. Then determine the strategic quadrilateral, to obtain the development strategy azimuth and strategic strength. The strategic positioning and trend of the intelligent transformation and development of the automobile industry in Jilin City are determined, and the implementation countermeasures of the development strategy are formulated. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Automotive industry

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Robust Residual Compensation control for Disturbance Suppression to Enhance Performance of Grid-Forming Inverter

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International Journal of Circuit Theory and Applications 2025年第0期

作者： Zhang, Shufeng Liu, Changan Shi, Yuntao School of Control and Computer Engineering North China Electric Power University Beijing China School of information North China University of Technology Beijing China School of Electrical and Control Engineering North China University of Technology Beijing China

Grid-forming (GFM) inverter has been proposed as a practical solution for improving the stability and resilience of modern power systems. However, the GFM inverter exhibits low inertia characteristic and is susceptible to external disturbance and uncertainty. Motivated by this, this paper presents a residual compensation control strategy to improve the performance of the GFM inverter. To address the impact of measurement noise with outliers on state estimation and residual generation, the Huber function is employed as a cost function in the design of a robust Kalman filter-based residual generator. Subsequently, a robust residual compensation controller is developed to achieve effective disturbance suppression. The generalized system model of the GFM inverter is established based on the model matching theory. Two algebraic Riccati equations corresponding to the full-information system and output feedback system are then formulated based on the generalized model to facilitate the solution of the robust residual compensation controller. Simulation and experiment results demonstrate that the robust Kalman filter-based residual generator and the robust residual compensation controller, as presented, effectively suppress measurement noise and load-side disturbance, thereby improving the performance of the GFM inverter. © 2025 John Wiley & Sons Ltd.

关键词： Cost functions

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Characterization of the velocity and concentration of pneumatically conveyed particles in the upstream of an acoustic emission waveguide through CFD-DEM modelling and electrostatic sensing

Characterization of the velocity and concentration of pneuma...

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作者： Zeng, Xingxing Yan, Yong Qian, Xiangchen Lu, Yunlong School of Control and Computer Engineering North China Electric Power University Beijing China Hangzhou International Innovation Institute Beihang University Hangzhou China

Characterization of the velocity and concentration of pneumatically conveyed particles in the upstream of the waveguide protruded into the flow is essential for measuring the mass flow rate and size distribution of particles using acoustic emission methods. Computational fluid dynamics-discrete element method (CFD-DEM) is employed in this paper to simulate the collisions between particles and waveguides with a varying protrusion depth in a vertical pipe. Then an instrumentation system incorporating electrostatic sensors is developed to measure the particle velocity and concentration in the upstream of the waveguide. Experimental tests were carried out on a particle flow test rig. The experimental and modelling results show that the waveguide protruded into the flow between 2 and 10 mm results in a reduction in particle velocity of approximately 30%–35 %, and an increase in particle concentration of approximately 3%–20 %. The experimental results show a close agreement with the modelling data. © 2024

关键词： Acoustic emission waveguide Computational modelling Electrostatic sensors Particle concentration Particle velocity

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Enhance Smart Grid Security With A Coordinated Cyber-Physical Defensive Mechanism 41

Enhance Smart Grid Security With A Coordinated Cyber-Physica...

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第41届中国控制会议

作者： Zhenyong Zhang Xin Che Xuguo Jiao Jingpei Wang State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou University College of Control Science and Engineering Zhejiang University School of Information and Control Engineering Qingdao University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Smart grid,as one of the largest evolutionary critical infrastructures,witnesses the deep integration of cyber technologies and physical ***,recent events show that the vulnerabilities exposed in the cyber side and the physical side can be exploited to cause coupled and severe ***,the adversaries are able to mask the pernicious physical attack using the cyber attack by compromising the digitized data transmitted to the control *** cooperative cyber-physical attack(CCPA) is stealthy to the current defense *** this article,we propose a cyber-physical defensive mechanism(CPDM) to thwart the *** changing the physical value of the line admittance,the model parameters known by the adversary are not useful anymore,which is the basic idea to design the *** implementation of CPDM depends on the deployment of the distributed flexible AC transmission system(D-FACTS).To reduce the infrastructure cost for the CPDM,we investigate the minimum number of required D-FACTS devices to thwart the *** consider both weak constraints on the CCPA and CPDM and practical limitations for the CCPA and *** each case,we propose a method to compute the optimal deployment of D-FACTS devices,that is,where the DFACTS device should be deployed.

关键词： CPA Enhance Smart Grid Security With A Coordinated Cyber-Physical Defensive Mechanism Security

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High Speed Machining for Linear Paths Blended with G3 Continuous Pythagorean-Hodograph Curves

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Journal of Systems Science & Complexity 2022年第4期35卷 1586-1607页

作者： ZHAO Kai LI Shurong College of Control Science and Engineering China University of Petroleum(East China)Qingdao266580China College of Computer Science and Information Engineering Anyang Institute of TechnologyAnyang455000China School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing100876China

Previously,many studies have illustrated corner blend problem with different parameter *** a few of them take a Pythagorean-hodograph(PH)curve as the transition arc,let alone corresponding real-time interpolation *** this paper,an integrated corner-transition mixing-interpolation-based scheme(ICMS)is proposed,considering transition error and machine tool ***,the ICMS smooths the sharp corners in a linear path through blending the linear path with G3 continuous PH transition *** obtain optimal PH transition curves globally,the problem of corner smoothing is formulated as an optimization problem with *** order to improve optimization efficiency,the transition error constraint is deduced analytically,so is the curvature extreme of each transition *** being blended with PH transition curves,a linear path has become a blend ***,the ICMS adopts a novel mixed interpolator to process this kind of blend curves by considering machine tool *** mixed interpolator can not only implement jerk-limited feedrate scheduling with critical points detection,but also realize self-switching of two interpolation ***,two patterns are machined with a carving platform based on *** l results show the effectiveness of ICMS.

关键词： Bézier control polygon corner transition jerk-limited scheduling mixed interpolation pythagorean-hodograph curve

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Measurement of moisture and temperature distributions in stored biomass through integrated capacitive and acoustic tomography

Measurement of moisture and temperature distributions in sto...

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作者： Guo, Ge Yan, Yong Zhang, Wenbiao Hu, Yonghui North China Electric Power University (School of Control and Computer Engineering) Beijing China Beihang University (Hangzhou International Innovation Institute) Hangzhou China

The moisture and temperature distributions in stored biomass are associated with the self-heating and spontaneous combustion of biomass fuels at biomass-fired power plants. In order to acquire timely and predictive information on biomass fuels and reduce fire risks, it is essential to measure the moisture and temperature distributions of stored biomass on an online continuous basis. This paper presents a proposed measurement system, based on capacitive and acoustic sensors coupled with tomographic reconstruction algorithms, to measure the moisture and temperature distributions of biomass stored in a silo. The moisture and temperature distributions in different locations are measured on a laboratory-scale silo. Experimental results suggest that the measurement system is able to measure the moisture and temperature distributions with a moisture content range of 7.7 %∼16.4 % and a temperature range of 20 °C–65 °C. © 2024

关键词： Acoustic tomography Biomass Electrical capacitance tomography Moisture distribution Temperature distribution

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