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Development of DNA computing and information processing based on DNA-strand displacement

science China Chemistry 2015年第10期58卷 1515-1523页

作者： Yafei Dong Chen Dong Fei Wan Jing Yang Cheng Zhang College of Life Science Shaanxi Normal University School of Control and Computer Engineering North China Electric Power University Key Laboratory of High Confidence Software Technologies of Ministry of Education Software Engineering Institute School of Electronics Engineering and Computer Science Peking University

DNA computing, currently a hot research field in information processing, has the advantages of parallelism, low energy consumption, and high storability, therefore, it has been applied to a variety of complicated computational problems. The emerging field of DNA nanotechnology has also developed quickly; within it, the method of DNA strand displacement has drawn great attention because it is self-induced, sensitive, accurate, and operationally simple. This article summarizes five aspects of the recent developments of DNA-strand displacement in DNA computing:(1) cascading circuits;(2) catalyzed reaction;(3) logic computation;(4) DNA computing on surfaces; and(5) logic computing based on nanoparticles guided by strand displacement. The applications and mechanisms of strand displacement in DNA computing are discussed and possible future developments are presented.

关键词： DNA computing information processing strand displacement self-assembly nanomaterial

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Privacy Preservation for Cloud-Edge-Collaborative Energy Management System Using Post-Quantum Homomorphic Encryption

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IEEE Transactions on Smart Grid 2025年

作者： Jiang, Cheng Li, Xue Du, Dajun Qian, Hong Wen, Mi Wu, Lei Findeisen, Rolf Shanghai University of Electric Power Shanghai Key Laboratory of Power Station Automation Technology College of Automation Engineering Shanghai200090 China Shanghai University Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronical Engineering and Automation Shanghai200072 China Shanghai University of Electric Power College of Computer Science and Technology Shanghai201306 China Advanced Cryptography and System Security Key Laboratory of Sichuan Province Chengdu610225 China Stevens Institute of Technology Department of Electrical and Computer Engineering HobokenNJ07030 United States TU Darmstadt Control and Cyber-Physical Systems Laboratory Darmstadt64227 Germany

Cloud-based energy management systems (EMS) in smart grids face privacy challenges, as existing methods based on traditional homomorphic encryption support limited operations and are vulnerable to quantum attacks. We propose a privacy preservation method for smart grid energy management system, leveraging edge-assisted computing and ring learning with errors (RLWE) homomorphic encryption. Our approach enables both addition and multiplication operations on encrypted smart grid data while defending against quantum threats. We demonstrate the methods security under the RLWE hardness assumption and validate its effectiveness through an experimental platform simulating smart grid environments. This work addresses computational limitations in current privacy-preserving techniques, enhancing data security for evolving smart grid technologies © 2010-2012 IEEE.

关键词： Power management (telecommunication)

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Hierarchically structured conductive hydrogels for electrically programmable drug delivery in a diabetic wound healing electronic patch

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Journal of controlled Release 2025年 383卷

作者： Lin, Zhe-Wei Chen, Yo-Lin Lei, Wan-Lou Ku, Chi-Yao Su, Pin-Yu Tai, Li-Chia Tsai, Tsung-Heng Liao, Yu-Te Chuang, Andrew E.-Y. Huang, Wei-Chen Institute of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Department of Material Science and Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University New Taipei City235603 Taiwan Cell Physiology and Molecular Image Research Center Taipei Medical University-Wan Fang Hospital Taipei11696 Taiwan Department of Electronics and Electrical Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Precision Medicine and Translational Cancer Research Center Taipei Medical University Hospital Taipei11031 Taiwan

Smart wound dressings that integrate advanced drug delivery strategies and electrical stimulation (ES) represent a revolutionary approach for improving diabetic wound healing. However, limited drug loading efficiency and delayed reactivity to electrical inputs make it difficult to practically implement ES-controlled drug release in hydrogel-coated electrodes. In order to address these limitations, we developed a hydrogel-based electronic wound dressing patch that enables highly programmable, ES-triggered drug delivery. In particular, a hierarchically architectrual conductive polymer hydrogel composed of PEDOT: CHC/silk was designed to be used as an electroresponsive matrix and a drug reservoir. This hydrogel exhibited a high encapsulation efficiency (>90 %) for the hydrophobic drug ibuprofen and demonstrated exceptional mechanical resilience and electrochemical stability. Through systematic optimization of ES parameters such as voltage, frequency, and waveform, the system achieved precise spatiotemporal modulation of drug release. Notably, the integration of the hydrogel into interdigitated electrode arrays significantly enhanced delivery performance through improved field distribution and release control. In addition, the multifunctional patch also exhibited intrinsic antibacterial activity and biocompatibility, making it well-suited for clinical application. This work cumulatively introduces a wearable, electroceutical, and long-term active wound dressing system that is integratively assembled with wound protection, electrical treatment, and stimulus-sensitive drug delivery, hence being a promising approach to enhance diabetic wound healing through intelligent bioelectric treatment. © 2025 Elsevier B.V.

关键词： controlled drug delivery

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Design and optimization in multiphase homing trajectory of parafoil system

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Journal of Central South University 2016年第6期23卷 1416-1426页

作者：高海涛陶金孙青林陈增强 Department of Physics and Electronics Anhui Science and Technology University Fengyang 233100 China College of Computer and Control Engineering Nankai University Tianjin 300071 China

In order to realize safe and accurate homing of parafoil system,a multiphase homing trajectory planning scheme is proposed according to the maneuverability and basic flight characteristics of the *** this scenario,on the basis of geometric relationship of each phase trajectory,the problem of trajectory planning is transformed to parameter optimizing,and then auxiliary population-based quantum differential evolution algorithm(AP-QDEA)is applied as a tool to optimize the objective function,and the design parameters of the whole homing trajectory are *** proposed AP-QDEA combines the strengths of differential evolution algorithm(DEA)and quantum evolution algorithm(QEA),and the notion of auxiliary population is introduced into the proposed algorithm to improve the searching precision and *** simulation results show that the proposed AP-QDEA is proven its superior in both effectiveness and efficiency by solving a set of benchmark problems,and the multiphase homing scheme can fulfill the requirement of fixed-points and upwind landing in the process of homing which is simple in control and facile in practice as well.

关键词： parafoil system multiphase homing trajectory design and optimization differential evolution algorithm （DEA） quantum evolution algorithm （QEA） auxiliary population

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Multi-objective process parameter optimization for energy saving in injection molding process

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Journal of Zhejiang University-science A(Applied Physics & engineering) 2012年第5期13卷 382-394页

作者： Ning-yun LU Gui-xia GONG Yi YANG Jian-hua LU College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Department of Control Engineering and Science Zhejiang University Hangzhou 310027 China School of Computer Science and Engineering Southeast University Nanjing 210096 China

This paper deals with a multi-objective parameter optimization framework for energy saving in injection molding *** combines an experimental design by Taguchi's method,a process analysis by analysis of variance(ANOVA),a process modeling algorithm by artificial neural network(ANN),and a multi-objective parameter optimization algorithm by genetic algorithm(GA)-based lexicographic *** and global Pareto analyses show the trade-off between product quality and energy *** implementation of the proposed framework can reduce the energy consumption significantly in laboratory scale tests,and at the same time,the product quality can meet the pre-determined requirements.

关键词： Injection molding process Energy saving Multi-objective optimization Genetic algorithm Lexicographic method

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The Intelligent Systems of Skin Thickness in Measured by Optical Coherence Tomography

The Intelligent Systems of Skin Thickness in Measured by Opt...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Ardha Ardea Prisilla Mariya Nissar Gilang Titah Ramadhan Wei-Cheng Shen Hsu-Tang Cheng Ben-Yi Liau Yih-Kuen Jan Wen-Hung Chao Chih-Yang Lin Chi-Wen Lung Department of Digital Media Design Asia University Taichung Taiwan Department of Fashion Design LaSalle College Jakarta Jakarta Indonesia Department of Applied Science and Humanities Jamia Millia Islamia New Delhi India Department of Computer Science and Information Engineering Asia University Taichung Taiwan Department of Creative Product Design Asia University Taichung Taiwan Division of Plastic Surgery Asia University Hospital Taichung Taiwan Department of Automatic Control Engineering Feng Chia Asia University Taichung Taiwan Department of Kinesiology and Community Health University of Illinois Urbana USA Department of Mechanical Engineering National Central University Taoyuan Taiwan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

This study investigates the intelligent systems to evaluate walking interventions on skin thickness using Optical Coherence Tomography (OCT). The walking durations of 10 and 20 min were conducted with participants wearing insoles providing 160 mmHg air pressure. Skin thickness in the stratum corneum (SC) and epidermis (ED) was measured at four-foot regions: the big toe (T1), first metatarsal (M1), second metatarsal (M2), and heel (HL). Results revealed a significant decrease in SC at HL after 20 min of walking. This finding suggests that prolonged walking with air-pressure insoles may reduce mechanical stress at HL and could contribute to preventing and managing diabetic foot ulcers.

关键词： Legged locomotion Optical coherence tomography Optical variables measurement Particle measurements Epidermis Intelligent systems Stress Thickness measurement Stress measurement Foot

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Adaptive Decentralized Output-Constrained control of Single-Bus DC Microgrids

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IEEE/CAA Journal of Automatica Sinica 2019年第2期6卷 424-432页

作者： Jiangkai Peng Bo Fan Jiajun Duan Qinmin Yang Wenxin Liu the Smart Microgrid and Renewable Technology (SMRT) Research Laboratory Department of Electrical and Computer Engineering Lehigh University the State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang University the GEIRI North America

A single-bus DC microgrid can represent a wide range of applications. control objectives of such systems include high-performance bus voltage regulation and proper load sharing among multiple distributed generators(DGs) under various operating conditions. This paper presents a novel decentralized control algorithm that can guarantee both the transient voltage control performance and realize the predefined load sharing percentages. First, the output-constrained control problem is transformed into an equivalent unconstrained one. Second, a two-step backstepping control algorithm is designed based on the transformed model for bus-voltage regulation. Since the overall control effort can be split proportionally and calculated with locally-measurable signals, decentralized load sharing can be realized. The control design requires neither accurate parameters of the output filters nor load measurement. The stability of the transformed systems under the proposed control algorithm can indirectly guarantee the transient bus voltage performance of the original system. Additionally, the high-performance control design is robust, flexible, and reliable. Switch-level simulations under both normal and fault operating conditions demonstrate the effectiveness of the proposed algorithm.

关键词： DC microgrids decentralized control paralleled converters output constraint

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DPNet: Dynamic Pooling Network for Accurate and Efficient Size-Aware Tiny Object Detection

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IEEE Internet of Things Journal 2025年

作者： Gong, Luqi Chen, Haotian Chen, Yikun Yao, Tianliang Li, Chao Zhao, Shuai Han, Guangjie Beijing University of Posts and Telecommunications School of Computer Science Beijing China Zhejiang Lab Research Center for Space Computing System Hangzhou China Southwest Jiaotong University SWJTU-LEEDS Joint School Chengdu China LTD Guangdong Zhiyun City construction Technology Co Zhuhai China Tongji University College of Electronic and Information Engineering Department of Control Science and Engineering Shanghai China Hohai University Key Laboratory of Maritime Intelligent Network Information Technology Ministry of Education China

In unmanned aerial systems, especially in complex environments, accurately detecting tiny objects is crucial. Resizing images is a common strategy to improve detection accuracy, particularly for small objects. However, simply enlarging images significantly increases computational costs and the number of negative samples, severely degrading detection performance and limiting its applicability. This paper proposes a Dynamic Pooling Network (DPNet) for tiny object detection to mitigate these issues. DPNet employs a flexible down-sampling strategy by introducing a factor (df) to relax the fixed down-sampling process of the feature map to an adjustable one. Furthermore, we design a lightweight predictor to predict df for each input image, which will be used to decrease the resolution of feature map in backbone. Thus, we achieve input-aware down-sampling. We design an Adaptive Normalization Module (ANM) to make a unified detector well compatible with different dfs. At the same time, we also design a guidance loss to supervise the predictor’s training. DPNet realizes the dynamic allocation of computing resources to trade off detection accuracy and efficiency through this. Experiments on the TinyCOCO and TinyPerson datasets show that our DPNet can save over 35% and 25% GFLOPs, respectively, while maintaining comparable detection *** code will be made publicly available. © 2014 IEEE.

关键词： Object detection

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Containment control of Discrete-time Multi-agent Systems with Multiple Stationary Leaders and Time-delays 34

Containment Control of Discrete-time Multi-agent Systems wit...

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第三十四届中国控制会议

作者： LI Bo CHEN Zeng-qiang LIU Zhong-xin ZHANG Qing College of Computer and Control Engineering Nankai University College of Science Civil Aviation University of China

ISBN: (纸本)9781467374439

Containment control of multi agent system with time-delays is a problem with practical significance in the complex dynamics system. In this paper, we study the problem of distributed containment control of a group of mobile autonomous agents with multiple stationary leaders under fixed directed network topologies and for each follower, there exists at least one leader that has a directed path to the follower. Z transform are used to study the multi-agent delayed system with discrete-time. Some sufficient conditions are obtained to ensure the containment of the first-order multi-agent system and a kind of control protocol was proposed for the second-order discrete-time systems with fixed time-delay. Finally, computer simulations show the effectiveness of the conclusion.

关键词： multi-agent systems containment control multiple stationary leaders communication time-delays

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A Pricing Model for Big Personal Data

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Tsinghua science and Technology 2016年第5期21卷 482-490页

作者： Yuncheng Shen Bing Guo Yan Shen Xuliang Duan Xiangqian Dong Hong Zhang College of Computer Science Sichuan University Chengdu 610065 China College of Information Science and Technology Zhaotong University Zhaotong 657000 China School of Control Engineering Chengdu University of Information Technology Chengdu 610225 China

Big Personal Data is growing explosively. Consequently, an increasing number of internet users are drowning in a sea of data. Big Personal Data has enormous commercial value; it is a new kind of data asset. An urgent problem has thus arisen in the data market： How to price Big Personal Data fairly and reasonably. This paper proposes a pricing model for Big Personal Data based on tuple granularity, with the help of comparative analysis of existing data pricing models and strategies. This model is put forward to implement positive rating and reverse pricing for Big Personal Data by investigating data attributes that affect data value, and analyzing how the value of data tuples varies with information entropy, weight value, data reference index, cost, and other factors. The model can be adjusted dynamically according to these parameters. With increases in data scale, reductions in its cost,and improvements in its quality, Big Personal Data users can thereby obtain greater benefits.

关键词： data tuple Big Personal Data positive grading reverse pricing pricing model

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