亚洲欧美第一页_禁久久精品乱码_粉嫩av一区二区三区免费野_久草精品视频

蟲(chóng)蟲(chóng)首頁(yè)| 資源下載| 資源專(zhuān)輯| 精品軟件
登錄| 注冊(cè)

Computational

  • Numerical Techniques in Electromagnetics

    Theartofcomputationofelectromagnetic(EM)problemshasgrownexponentially for three decades due to the availability of powerful computer resources. In spite of this, the EM community has suffered without a suitable text on the Computational techniques commonly used in solving EM-related problems. Although there have been monographs on one particular technique or another, the monographs are written for the experts rather than students. Only a few texts cover the major techniques and dothatinamannersuitableforclassroomuse.Itseemsexpertsinthisareaarefamiliar with one or a few techniques but not many seem to be familiar with all the common techniques. This text attempts to fill that gap.

    標(biāo)簽: Electromagnetics Techniques Numerical in

    上傳時(shí)間: 2020-05-31

    上傳用戶(hù):shancjb

  • Physical Layer Security in Wireless Communications

    The ever-increasing demand for private and sensitive data transmission over wireless net- works has made security a crucial concern in the current and future large-scale, dynamic, and heterogeneous wireless communication systems. To address this challenge, computer scientists and engineers have tried hard to continuously come up with improved crypto- graphic algorithms. But typically we do not need to wait too long to find an efficient way to crack these algorithms. With the rapid progress of Computational devices, the current cryptographic methods are already becoming more unreliable. In recent years, wireless re- searchers have sought a new security paradigm termed physical layer security. Unlike the traditional cryptographic approach which ignores the effect of the wireless medium, physi- cal layer security exploits the important characteristics of wireless channel, such as fading, interference, and noise, for improving the communication security against eavesdropping attacks. This new security paradigm is expected to complement and significantly increase the overall communication security of future wireless networks.

    標(biāo)簽: Communications Physical Security Wireless Layer in

    上傳時(shí)間: 2020-05-31

    上傳用戶(hù):shancjb

  • Waveform Desig

    The focus of this book is on developing Computational algorithms for transmit wave- form design in active sensing applications, such as radar, sonar, communications and medical imaging. Waveforms are designed to achieve certain desired properties, which are divided into three categories corresponding to the three main parts in the book, namely good aperiodic correlations, good periodic correlations and beampattern match- ing.

    標(biāo)簽: Waveform Desig

    上傳時(shí)間: 2020-06-01

    上傳用戶(hù):shancjb

  • Computational+Intelligence

    The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in supporting the evolution of conventional electrical grids toward active, flexible and self- healing web energy networks composed of distributed and cooperative energy resources. From a conceptual point of view, the SG is the convergence of information and operational technologies applied to the electric grid, providing sustainable options to customers and improved security. Advances in research on SGs could increase the efficiency of modern electrical power systems by: (i) supporting the massive penetration of small-scale distributed and dispersed generators; (ii) facilitating the integration of pervasive synchronized metering systems; (iii) improving the interaction and cooperation between the network components; and (iv) allowing the wider deployment of self-healing and proactive control/protection paradigms.

    標(biāo)簽: Computational Intelligence

    上傳時(shí)間: 2020-06-07

    上傳用戶(hù):shancjb

  • Guidelines+for+Electrical+Transmission+Line

    Since the original publication of Manual 74 in 1991, and the preceding “Guidelines for Transmission Line Structural Loading” in 1984, the understanding of structural loadings on transmission line structures has broadened signifi cantly. However, improvements in Computational capa- bility have enabled the transmission line engineer to more easily deter- mine structural loadings without properly understanding the parameters that affect these loads. Many seasoned professionals have expressed concern for the apparent lack of recent information on the topic of struc- tural loadings as new engineers enter this industry. The Committee on Electrical Transmission Structures is charged with the responsibility to report, evaluate, and provide loading requirements of transmission struc- tures. This task committee was therefore formed to update and revise the 1991 manual.

    標(biāo)簽: Transmission Guidelines Electrical Line for

    上傳時(shí)間: 2020-06-07

    上傳用戶(hù):shancjb

  • Computational+RFID

    Sensors are points ofcontact betweenthe material world ofatoms, mass, andenergy and the seemingly immaterial world of information, computation, and cognition. Linking these two domains more tightly yields all sorts of practical benefits, such as improvedinputdevicesforcomputers,moreeffectivemedicaldevices(implantedor worn), more precise agricultural operations, better monitored buildings or bridges, more secure payment systems, and more reliable sensor–actuator control systems. There are many settings in which tighter coupling between digital and physical planes can enhance safety, security, performance, and reliability.

    標(biāo)簽: Computational RFID

    上傳時(shí)間: 2020-06-08

    上傳用戶(hù):shancjb

  • Computational+Intelligence

    The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in supporting the evolution of conventional electrical grids toward active, flexible and self- healing web energy networks composed of distributed and cooperative energy resources. From a conceptual point of view, the SG is the convergence of information and operational technologies applied to the electric grid, providing sustainable options to customers and improved security. Advances in research on SGs could increase the efficiency of modern electrical power systems by: (i) supporting the massive penetration of small-scale distributed and dispersed generators; (ii) facilitating the integration of pervasive synchronized metering systems; (iii) improving the interaction and cooperation between the network components; and (iv) allowing the wider deployment of self-healing and proactive control/protection paradigms.

    標(biāo)簽: Computational Intelligence

    上傳時(shí)間: 2020-06-10

    上傳用戶(hù):shancjb

  • Machine Learning and IoT

    The present era of research and development is all about interdisciplinary studies attempting to better comprehend and model our understanding of this vast universe. The fields of biology and computer science are no exception. This book discusses some of the innumerable ways in which Computational methods can be used to facilitate research in biology and medicine—from storing enormous amounts of biological data to solving complex biological problems and enhancing the treatment of various diseases.

    標(biāo)簽: Learning Machine IoT and

    上傳時(shí)間: 2020-06-10

    上傳用戶(hù):shancjb

  • Analog and Digital Control System Design

    This texts contemporary approach focuses on the concepts of linear control systems, rather than Computational mechanics. Straightforward coverage includes an integrated treatment of both classical and modern control system methods. The text emphasizes design with discussions of problem formulation, design criteria, physical constraints, several design methods, and implementation of compensators.Discussions of topics not found in other texts--such as pole placement, model matching and robust tracking--add to the texts cutting-edge presentation. Students will appreciate the applications and discussions of practical aspects, including the leading problem in developing block diagrams, noise, disturbances, and plant perturbations. State feedback and state estimators are designed using state variable equations and transfer functions, offering a comparison of the two approaches. The incorporation of MATLAB throughout the text helps students to avoid time-consuming computation and concentrate on control system design and analysis

    標(biāo)簽: 控制系統(tǒng)

    上傳時(shí)間: 2021-12-15

    上傳用戶(hù):

  • 基于Mtalab的光學(xué)計(jì)算書(shū)籍 Computational photonics based on Matlab

    基于Mtalab的光學(xué)計(jì)算書(shū)籍,有很多實(shí)例用于學(xué)習(xí)~

    標(biāo)簽: matlab

    上傳時(shí)間: 2022-05-24

    上傳用戶(hù):

主站蜘蛛池模板: 肥乡县| 九江市| 那曲县| 翁牛特旗| 周宁县| 庆城县| 沛县| 湘潭市| 舒兰市| 察雅县| 化州市| 杨浦区| 紫阳县| 伊宁市| 临猗县| 鹤峰县| 翁牛特旗| 石嘴山市| 长沙市| 六枝特区| 交口县| 满城县| 会宁县| 怀宁县| 琼结县| 四川省| 贺兰县| 台前县| 盱眙县| 阳东县| 自贡市| 射阳县| 武威市| 建始县| 新密市| 中西区| 武乡县| 嘉义市| 炎陵县| 西安市| 岳阳县|