检索结果-南通市图书馆

Expert control strategy using neural networks for electrolytic zinc process

在线全文

学校读者我要写书评

暂无评论

中国有色金属学会会刊：英文版 2000年第4期10卷 555-560页

作者：吴敏唐朝晖桂卫华 Cent S Univ Technol Coll Informat Sci & Engn Changsha 410083 Peoples R China

The most important parameters which control the electrolytic process are the concentrations of zinc and sulfuric acid in the electrolyte. An expert control strategy for determining and tracking the optimal concentrations was proposed, which uses neural networks, rule models and a single loop control scheme. First, the process was described and the strategy that features an expert controller and three single loop controllers was explained. Next, neural networks and rule models were constructed based on statistical data and empirical knowledge on the process. Then, the expert controller for determining the optimal concentrations was designed through a combination of the neural networks and rule models. The three single loop controllers used the PI algorithm to track the optimal concentrations. Finally, the implementation of the proposed strategy were presented. The run results show that the strategy provides not only high purity metallic zinc, but also significant economic benefits.

关键词： electrolytic process expert control neural networks rule models single loop control

Steiner minimal trees——the final destinations for lipid nanotube networks with three-way junctions

在线全文

学校读者我要写书评

暂无评论

Science China(Physics,Mechanics & Astronomy) 2011年第4期54卷 586-592页

作者： YIN YaJun WU JiYe YIN Jie FAN QinShan Key Laboratory of Applied Mechanics Department of Engineering Mechanics School of Aerospace Tsinghua University Beijing 100084 China Division of Mechanics Nanjing University of Technology Nanjing 211816 China

Through the combination of the minimum energy principle in physics and the Steiner minimal tree (SMT) theory in geometry,this paper proves a universal law for lipid nanotube networks (LNNs):at stable equilibrium state,the network of three-way lipid nanotube junctions is equivalent to a ***,an arbitrary (usually non-equilibrium) network of lipid nanotube junctions may fission into a SMT through diffusions and dynamic self-organizations of lipid *** applications of the law to the micromanipulations of LNNs are presented.

关键词： Steiner minimal trees lipid nanotubes networks three-way junctions stable equilibrium

Side channel attacks for architecture extraction of neural networks

在线全文

学校读者我要写书评

暂无评论

CAAI Transactions on Intelligence Technology 2021年第1期6卷 3-16页

作者： HervéChabanne Jean-Luc Danger Linda Guiga Ulrich Kühne Idemia ParisFrance Télécom Paris Institut Polytechnique de ParisParisFrance

Side channel attacks(SCAs)on neural networks(NNs)are particularly efficient for retrieving secret information from *** differentiate multiple types of threat scenarios regarding what kind of information is available before the attack and its purpose:recovering hyperparameters(the architecture)of the targeted NN,its weights(parameters),or its *** this survey article,we consider the most relevant attacks to extract the architecture of *** also categorize SCAs,depending on access with respect to the victim:physical,local,or *** targeting the architecture via local SCAs are most *** of today,physical access seems necessary to retrieve the weights of an *** notably describe cache attacks,which are local SCAs aiming to extract the NN's underlying *** countermeasures have emerged;these are presented at the end of the survey.

关键词： architecture networks neural

Optimal Energy-Efficient Transmission for Hybrid Spectrum Sharing in Cooperative Cognitive Radio networks

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

China Communications 2019年第6期16卷 150-161页

作者： Linna Hu Rui Shi Minghe Mao Zhiyu Chen Hongxi Zhou Weiliang Li Computer&Information College Hohai UniversityNanjing 210098China Nanjing University of Science&Technology Zijin College Nanjing 210023China State Grid Information&Telecommunication Branch State Grid Corporation of ChinaBeijing 100761China

In order to improve the energy efficiency(EE)in cognitive radio(CR),this paper investigates the joint design of cooperative spectrum sensing time and the power control optimization problem for the secondary user systems to achieve the maximum energy efficiency in a cognitive network based on hybrid spectrum sharing,meanwhile considering the maximum transmit power,user quality of service(QoS)requirements,interference limitations,and primary user *** optimization of energy efficient sensing time and power allocation is formulated as a non-convex optimization *** Dinkelbach’s method is adopted to solve this problem and to transform the non-convex optimization problem in fractional form into an equivalent optimization problem in the form of ***,an iterative power allocation algorithm is proposed to solve the optimization *** simulation results show the effectiveness of the proposed algorithms for energy-efficient resource allocation in the cognitive network.

关键词： cognitive radio networks cooperative spectrum sensing energy-efficiency hybrid spectrum sharing power control sensing time optimization

Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence networks

在线全文

学校读者我要写书评

暂无评论

International Journal of Automation and computing 2019年第2期16卷 129-149页

作者： Brian D.O.Anderson Mengbin Ye Research School of Engineering Australian National University School of Automation Hangzhou Dianzi University Data61-Commonwealth Scientific and Industrial Research Organisation (CSIRO) Faculty of Science and Engineering Engineering and Technology Institute Groningen (ENTEG)University of Groningen

A fundamental aspect of society is the exchange and discussion of opinions between individuals, occurring in situations as varied as company boardrooms, elementary school classrooms and online social media. After a very brief introduction to the established results of the most fundamental opinion dynamics models, which seek to mathematically capture observed social phenomena, a brief discussion follows on several recent themes pursued by the authors building on the fundamental ideas. In the first theme, we study the way an individual′s self-confidence can develop through contributing to discussions on a sequence of topics, reaching a consensus in each case,where the consensus value to some degree reflects the contribution of that individual to the conclusion. During this process, the individuals in the network and the way they interact can change. The second theme introduces a novel discrete-time model of opinion dynamics to study how discrepancies between an individual′s expressed and private opinions can arise due to stubbornness and a pressure to conform to a social norm. It is also shown that a few extremists can create "pluralistic ignorance", where people believe there is majority support for a position but in fact the position is privately rejected by the majority. Last, we consider a group of individuals discussing a collection of logically related topics. In particular, we identify that for topics whose logical interdependencies take on a cascade structure,disagreement in opinions can occur if individuals have competing and/or heterogeneous views on how the topics are related, i.e., the logical interdependence structure varies between individuals.

关键词： Opinion dynamics social networks influence networks agent-based models, multi-agent systems networked systems

Parallel design of convolutional neural networks for remote sensing images object recognition based on data-driven array processor

在线全文

学校读者我要写书评

暂无评论

The Journal of China Universities of Posts and Telecommunications 2020年第6期27卷 87-100页

作者： Shan Rui Jiang Lin Deng Junyong Cui Pengfei Zhang Yuting Wu Haoyue Xie Xiaoyan School of Electronic Engineering Xi'an University of Posts and TelecommunicationsXi'an 710121China Laboratory of Integrated Circuit Design Xi'an University of Science and TechnologyXi'an 710054China School of Computer Science and Technology Xi'an University of Posts and TelecommunicationXi'an 710121China

Object recognition in very high-resolution remote sensing images is a basic problem in the field of aerial and satellite image *** the development of sensor technology and aerospace remote sensing technology,the quality and quantity of remote sensing images are *** recognition methods have a certain limitation in describing higher-level features,but object recognition method based on convolutional neural network(CNN)can not only deal with large scale images,but also train features automatically with high *** is mainly used on object recognition for remote sensing *** this paper,an AlexNet CNN model is trained using 2100 remote sensing images,and correction rate can reach 97.6%after 2000 *** based on trained model,a parallel design of CNN for remote sensing images object recognition based on data-driven array processor(DDAP)is *** consuming cycles are ***,the proposed architecture is realized on Xilinx V6 development board,and synthesized based on SMIC 130 nm complementary metal oxid semiconductor(CMOS)*** experimental results show that the proposed architecture has a certain degree of parallelism to achieve the purpose of accelerating calculations.

关键词： convolutional neural networks remote sensing images object recognition array processor data-driven

Capability of neural networks in computing the outputs of dynamic systems with inputs defined on the whole space

在线全文

学校读者我要写书评

暂无评论

Science China(Technological Sciences) 1998年第4期41卷 366-371页

作者：陈天平梁源 1. Institute of Mathematics Fudan University 200433 Shanghai China

Strong theorems on equi-uniform approximation to functionals and operators in abstract spaces are given. As applications, theorems on system identification by neural networks, whose inputs are defined in the whole spa... 详细信息

关键词： neural networks system identification approximation.

Machine Learning for 5G and Beyond:From ModelBased to Data-Driven Mobile Wireless networks

在线全文

学校读者我要写书评

暂无评论

China Communications 2019年第1期16卷 165-175页

作者： Tianyu Wang Shaowei Wang Zhi-Hua Zhou National Key Laboratory for Novel Software Technology Nanjing University School of Electronic Science and Engineering Nanjing University

During the past few decades,mobile wireless communications have experienced four generations of technological revolution,namely from 1 G to 4 G,and the deployment of the latest 5 G networks is expected to take place in *** fundamental question is how we can push forward the development of mobile wireless communications while it has become an extremely complex and sophisticated *** believe that the answer lies in the huge volumes of data produced by the network itself,and machine learning may become a key to exploit such *** this paper,we elaborate why the conventional model-based paradigm,which has been widely proved useful in pre-5 G networks,can be less efficient or even less practical in the future 5 G and beyond mobile ***,we explain how the data-driven paradigm,using state-of-the-art machine learning techniques,can become a promising *** last,we provide a typical use case of the data-driven paradigm,i.e.,proactive load balancing,in which online learning is utilized to adjust cell configurations in advance to avoid burst congestion caused by rapid traffic changes.

关键词： mobile wireless networks data-driven paradigm machine learning

Energy-Efficient User Association in Heterogeneous networks with M2M/H2H Coexistence under QoS Guarantees

在线全文

学校读者我要写书评

暂无评论

China Communications 2015年第S1期12卷 93-103页

作者： TIAN Hui XU Youyun XU Kui JING Jun WU Kun Institute of Communication Engineering PLA University of Science and Technology Postdoctoral Scientific Research Station PLA Unit No.66393

In this paper, we propose an energy efficient user association scheme for uplink heterogeneous networks with machine-to-machine(M2M) and human-to-human(H2H) coexistence. A group based random access protocol is designed for massive number of machine-typecommunications(MTC) user equipments'(UEs) transmissions. A user association problem for UEs' energy efficiency maximization is formulated considering the HTC UEs' quality of service(QoS) guarantees and load balance among multiple BSs, simultaneously. A distributed iterative algorithm is developed to solve the optimization problem. In addition, the convergence of the proposed algorithm is proved. Simulation results show that our proposed scheme outperforms other schemes in terms of energy efficiency and QoS guarantees.

关键词： energy efficiency QoS user as sociation M2M communication heterogeneous networks