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International Conference on computer Communications and Networks

作者： Huan Zhou Huanyang Zheng Jie Wu Jiming Chen State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou China Department of Computer and Information Sciences Temple University USA

In Opportunistic Mobile Networks (OppNets), data is opportunistically exchanged between nodes who encounter each other. In order to enable such data exchanges, nodes in the network have to probe their environment continually, so as to discover neighbor nodes. This can be an extremely energy-consuming process. If nodes probe very frequently, they will consume a lot of energy, and might be energy inefficient. On the other hand, infrequent contact probing might cause nodes to miss many of their contacts, and thus opportunities to exchange data are lost. Therefore, there exists a trade-off between energy efficiency and the contact opportunities in OppNets. In this paper, in order to investigate this trade-off, we first propose a model to quantify the detecting probability in OppNets, using the Random WayPoint (RWP) model. Then, extensive simulations are conducted to validate the correctness of our proposed model. Finally, based on the proposed model, we analyze the tradeoff between energy efficiency and the total number of effective contacts under different situations. Our results show that the good trade-off points are obviously different when the speed of nodes is different. Moreover, the detecting probability increases as the speed of nodes decreases, while the total number of effective contacts increases as the speed of nodes increases.

关键词： Opportunistic Mobile Networks Energy consumption Contact probing Random WayPoint model

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A security testing approach for WSN protocols based on object-oriented attack model

A security testing approach for WSN protocols based on objec...

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International Conference on Computational Intelligence and Security

作者： Yue Qi Qingqi Pei Yong Zeng Chao Yang Shu-po Bu State Key Laboratory of Integrated Service Networks Xidian University Xi'an China Key Laboratory of Computer Networks and Information Security of Ministry of Education China Key Lab. of Comput. Networks & Inf. Security Minist. of Educ. Guangzhou China Department of Electronic Engineering Suzhou Institute of Industrial Technology Suzhou China

In this paper, we propose an object-oriented attack model to represent a protocol attack in WSN detailedly. The model describes multiple attributes of an attack, including its principle, impact, interdependent relationships with other attacks, etc. Then, on the basis of the attack model and the FSM description method, we present a security testing approach for WSN protocols, in order to evaluate the security of the tested protocols. Finally, we take the TinyPK protocol and Sybil attack for example to implement our design, and the Protocol Security Testing Report shows as expected that the TinyPK cannot resist the Sybil attack. Thus, the security testing approach proposed is feasible.

关键词： Protocols Wireless sensor networks Object oriented modeling Testing Authentication Availab.lity

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Performance-aware power management in embedded controllers with multiple-voltage processors

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Information Technology Journal 2008年第6期7卷 942-947页

作者： Xia, Feng Liu, Liping Ma, Longhua Sun, Youxian Dong, Jinxiang College of Computer Science and Technology Zhejiang University Hangzhou 310027 China School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China State Key Lab of Industrial Control Technology Zhejiang University Hangzhou 310027 China Faculty of Information Technology Queensland University of Technology Brisbane QLD 4001 Australia

The aim of this research is to minimize the energy dissipation of embedded controllers without jeopardizing the Quality of control (QoC). Taking advantage of the Dynamic Voltage Scaling (DVS) technology, this study develops a performance-aware power management scheme for embedded controllers with processors that allow multiple voltage levels. The periods of control tasks are adapted online with respect to the current QoC, thus facilitating additional energy reduction over standard DVS. To avoid the waste of CPU resources as a result of the discrete voltage levels, a resource reclaiming mechanism is employed to maximize the CPU utilization and also to improve the QoC Simulations are conducted to evaluate the performance of the proposed scheme. Compared with the optimal standard DVS scheme, the proposed scheme is shown to be able to save remarkably more energy while maintaining comparable QoC. © 2008 Asian Network for Scientific Information.

关键词： Real time control

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Wide Area control Framework Design Considering Different Feedback Time Delays

Wide Area Control Framework Design Considering Different Fee...

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IEEE Power and Energy Society General Meeting

作者： Gang Chen Yuanzhang Sun Vaithianathan "Mani" Venkatasubramanian Lin Cheng Jin Lin Anjan Bose Weixing Zhao Cheng Lin State Key Lab. of Power Systems Dept. of Electrical Engineering Tsinghua University Beijing 100084 China School of Electrical Engineering and Computer Science Washington State University Pullman WA 99164-2752 USA Guizhou Electric Power Grid Dispatching and Control Center Guiyang Guizhou 550002 China

ISBN: (纸本)9781467327275

In this paper, a framework for a real-time wide area controller is established for damping small-signal instability related events in interconnected power systems. Offline designing is performed to design the centralized controller for each inter-area mode of the power system. Residue approach is used to select the most effective stabilizing signals and controller locations. Different constant time delays are taken into controller parameters design. Thus an offline controller database is formed, including different controllers of each mode. The parameters of each controller are different for various ranges of time delay. The damping and other mode information will be identified by online multi-Prony analysis. When an inter-area mode is detected with weak or negative damping, say less than 3%, the corresponding controller for the detected mode will be initiated and deployed for enhancing the damping of the problematic mode. The time delay, which is used to select a suitable set of parameters for a chosen controller, could be calculated online, using the time stamps of the actuator and feedback signal. The paper proposes the framework of the controller with preliminary discussions on the various components of the controller, including: 1) the offline controller database, 2) the online detection of undamped oscillations, and 3) the online corrective control actions at the actuator. The 4-machine 2-area case study results demonstrated the advantage of the proposed method.

关键词： Small signal stability phasor measurement units (PMUs) power system stabilizer (PSS) wide area control damping controller time delay controllers timestamp time delay undamped oscillations central controller OFF LINE Frameworks actuators

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MmWave MIMO-OFDM with Index Modulation: A Pareto-Optimal Trade-off on Spectral-Energy Efficiency

MmWave MIMO-OFDM with Index Modulation: A Pareto-Optimal Tra...

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GLOBECOM 2020 - 2020 IEEE Global Communications Conference

作者： Yan Yang Shuping Dang Miaowen Wen Mohsen Guizani State Key Lab. of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Kingdom of Saudi Arabia School of Electronic and Information Engineering South China University of Technology Guangzhou China Qatar University Qatar

ISBN: (数字)9781728182988

ISBN: (纸本)9781728182995

Multiple-input multiple-output orthogonal frequency division multiplexing with index modulation (MIMO-OFDM-IM) has the potential advantage to balance the trade-off between spectral efficiency (SE) and energy efficiency (EE). This paper investigates the application of MIMO-OFDM-IM to millimeter wave (mmWave) communication systems. Taking advantage of the properties of Pareto optimality, we propose a feasible solution to achieve a globally Pareto-optimal trade-off between SE and EE, and the collision constraints of multi-objective optimization problem (MOP) can be solved efficiently. The MOP of SE-EE trade-off can then be converted into a Pareto-optimal set (POS) solution problem. This combinatorial-oriented resource allocation approach on SE-EE relation considers the optimal beam design and power reallocation for downlink multi-user mmWave transmission. We adopt the Poisson point process (PPP) to model the mobile data traffic, and the evolutionary algorithm is applied to speed up the search efficiency of the Pareto front. Compared with benchmarks, the experimental results collected from extensive simulations reveal that the proposed optimization approach is vastly superior to existing algorithms.

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ERT-GFAN: A multimodal drug–target interaction prediction model based on molecular biology and knowledge-enhanced attention mechanism

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computers in Biology and Medicine 2024年 180卷 109012-109012页

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

In drug discovery, precisely identifying drug–target interactions is crucial for finding new drugs and understanding drug mechanisms. Evolving drug/target heterogeneous data presents challenges in obtaining multimodal representation in drug–target prediction(DTI). To deal with this, we propose ‘ERT-GFAN’, a multimodal drug–target interaction prediction model inspired by molecular biology. Firstly, it integrates bio-inspired principles to obtain structure feature of drugs and targets using Extended Connectivity Fingerprints(ECFP). Simultaneously, the knowledge graph embedding model RotatE is employed to discover the interaction feature of drug–target pairs. Subsequently, Transformer is utilized to refine the contextual neighborhood features from the obtained structure feature and interaction features, and multi-modal high-dimensional fusion features of the three-modal information constructed. Finally, the final DTI prediction results are outputted by integrating the multimodal fusion features into a graphical high-dimensional fusion feature attention network (GFAN) using our innovative multimodal high-dimensional fusion feature attention. This multimodal approach offers a comprehensive understanding of drug–target interactions, addressing challenges in complex knowledge graphs. By combining structure feature, interaction feature, and contextual neighborhood features, ‘ERT-GFAN’ excels in predicting DTI. Empirical evaluations on three datasets demonstrate our method's superior performance, with AUC of 0.9739, 0.9862, and 0.9667, AUPR of 0.9598, 0.9789, and 0.9750, and Mean Reciprocal Rank(MRR) of 0.7386, 0.7035, and 0.7133. Ablation studies show over a 5% improvement in predictive performance compared to baseline unimodal and bimodal models. These results, along with detailed case studies, highlight the efficacy and robustness of our approach. © 2024 Elsevier Ltd

关键词： Forecasting

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Respiratory Rate Measurement Method Based on Singular Value Decomposition

Respiratory Rate Measurement Method Based on Singular Value ...

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Chinese Automation Congress (CAC)

作者： Dongting Chu Bingyou Liu Guoyang Wan Jingjing Qi Luanfei Wan College of Electrical Engineering Anhui Polytechnic University Wuhu China The Key Lab. of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Anhui Polytechnic University Wuhu China Wuhu HIT Robot Industrial Technology Research Institute Co. Ltd Wuhu China College of Electrical Engineering Wuhu Institute of Technology Wuhu China

In order to enhance the measurement accuracy of respiratory rate, a respiratory rate measurement method based on high-speed vision is presented in this paper. Initially, a high-speed camera is utilized to capture the experimenter's chest breathing movement video sequence, and singular value decomposition (SVD) is applied to extract the displacement resulting from respiratory movement. However, the extracted motion waveform contains some noise signals due to the poor denoising capabilities of SVD. To address this issue, an improved wavelet denoising approach is proposed in this paper to enhance the accuracy of respiratory measurement frequency. Finally, the respiratory frequency measurement method based on high-speed vision is simulated and experimented, and the respiratory rate is calculated through spectral analysis. The experiments indicate that the proposed method can accurately extract the respiratory displacement signal and effectively denoise it, making it convenient for practical use.

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Research on Denoising Method Based on Iterative SVD Decomposition

Research on Denoising Method Based on Iterative SVD Decompos...

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Chinese Automation Congress (CAC)

In response to the poor denoising ability of Singular Value Decomposition (SVD), and the extracted motion waveform containing some residual noise signals, this paper proposes an iterative SVD decomposition denoising method. Firstly, the original signal is constructed into a binary recursive matrix form, and then SVD decomposition is used to obtain singular values with different contributions to the original matrix. Then, singular values with small contributions are discarded, while those with large contributions are retained. By modifying the signal reconstruction method, the denoised signal can be obtained once, and the required signal can be obtained by repeating the above process continuously. In simulation experiments and tuning fork vibration experiments, this article uses the iterative SVD decomposition denoising method and two existing denoising methods to denoise signals containing noise and uses signal-to-noise ratio (SNR) and root mean square error method (RMSE) as denoising performance indicators for data comparison, confirming the effectiveness and superiority of iterative SVD decomposition denoising method and its excellent denoising ability. In the tuning fork vibration experiment, the error between the measured results and the actual results is 0.3125%, proving that this denoising method has practical application value.

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A Many-Objective Evolutionary Algorithm Assisted by Ideal Hyperplane

SSRN

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SSRN 2022年

作者： Zhang, Zhixia Wen, Jie Wang, Hui Cai, Xingjuan Cui, Zhihua Zhang, Wensheng School of Computer Science and Technology Taiyuan University of Science and Technology China School of Information Engineering Nanchang Institute of Technology Nanchang330099 China State Key Laboratory of Intelligent Control and Management of Complex System Institute of Automation Chinese Academy of Sciences China State Key Lab. for Novel Software Technology Nanjing University China

In many-objective optimization problems (MaOPs), it is a difficult task for evolutionary algorithms to balance convergence and diversity while rapidly converging to the Pareto front. As the number of objectives increases, the difficulty of evolutionary algorithms increases with individual selection pressure. To address above problems, we propose a many-objective evolution algorithm assisted by an ideal hyperplane (MaOEA-IH). Firstly, the ideal hyperplane as a reference surface to guide the individual to search the Pareto front, which is established from the extremum of each dimension of the objective space. Secondly, a parallel p -norm mating selection strategy is proposed to improve convergence. In addition, two factors are considered in this strategy: 1) different p -norm are used to measure different spatial scales;2) individual selection uncertainty is defined by incorporating a probabilistic perturbation mechanism. Thirdly, the improved shift-based density estimation strategy is used as the evaluation criterion for environmental selection to improve the convergence and diversity of solution sets and enhance selection pressure. To verify the effectiveness of the proposed algorithm, MAOEA-IH is compared with seven excellent algorithms in three benchmark sets (DTLZ, WFG and MaF). The results show that the proposed MAOEA-IH is highly competitive in solving MaOPs. © 2022, The Authors. All rights reserved.

关键词： Geometry

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Open-closed-loop iterative learning control for a class of nonlinear systems with random data dropouts

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IOP Conference Series: Materials Science and engineering 2018年第1期359卷

作者： X Y Cheng H B Wang Y L Jia YH Dong The Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

In this paper, an open-closed-loop iterative learning control (ILC) algorithm is constructed for a class of nonlinear systems subjecting to random data dropouts. The ILC algorithm is implemented by a networked control system (NCS), where only the off-line data is transmitted by network while the real-time data is delivered in the point-to-point way. Thus, there are two controllers rather than one in the control system, which makes better use of the saved and current information and thereby improves the performance achieved by open-loop control alone. During the transfer of off-line data between the nonlinear plant and the remote controller data dropout occurs randomly and the data dropout rate is modeled as a binary Bernoulli random variable. Both measurement and control data dropouts are taken into consideration simultaneously. The convergence criterion is derived based on rigorous analysis. Finally, the simulation results verify the effectiveness of the proposed method.

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