STM8L152C6開發板資料，供初學者互相探討
上傳時間： 2013-05-25
上傳用戶：yanming8525826
Abstract: The rapid build out of today's smart grid raises a number of security questions. In this article,we review two recent well-documented security breaches and a report of a security gap. These situationsinclude a 2009 smart-meter hack in Puerto Rico; a 2012 password discovery in grid distributionequipment; and insecure storage of a private key in distribution automation equipment. For each of theseattacks, we examine the breach, the potential threat, and secure silicon methods that, as part of acomplete security strategy, can help thwart the attacks.
上傳時間： 2013-10-27
上傳用戶：tecman
ST8S開發原理圖,和大家分享下,希望能和更多朋友一起學習,進步.
標簽： S-discovery STM 原理圖
上傳時間： 2013-12-31
上傳用戶：1039312764
Kismet is an 802.11b network sniffer and network dissector. It is capable of sniffing using most wireless cards, automatic network IP block detection via UDP, ARP, and DHCP packets, Cisco equipment lists via Cisco discovery Protocol, weak cryptographic packet logging, and Ethereal and tcpdump compatible packet dump files. It also includes the ability to plot detected networks and estimated network ranges on downloaded maps or user supplied image files. Kismet是一個針對IEEE802.11b無線局域網的嗅探和包分析器，支持大多數無線網卡，支持自動檢測UDP、ARP和DHCP的數據包，支持通過CDP協議檢測思科網絡設備，支持加密數據包記錄，采用與Ethereal和Tcpdump兼容的的數據包記錄文件，支持通過用戶提供地圖來檢測和評估無線網絡范圍。
標簽： network dissector sniffing capable
上傳時間： 2014-11-26
上傳用戶：wweqas
Data mining (DM) is the extraction of hidden predictive information from large databases (DBs). With the automatic discovery of knowledge implicit within DBs, DM uses sophisticated statistical analysis and modeling techniques to uncover patterns and relationships hidden in organizational DBs. Over the last 40 years, the tools and techniques to process structured information have continued to evolve from DBs to data warehousing (DW) to DM. DW applications have become business-critical. DM can extract even more value out of these huge repositories of information.
標簽： information extraction predictive databases
上傳時間： 2016-03-19
上傳用戶：啊颯颯大師的
DSR-UU is a DSR implementation that runs in Linux and in the ns-2 network simulator. DSR-UU implements most of the basic DSR features specified in the DSR draft (version 10). One big exception is flow extensions. DSR-UU does NOT use ARP, so do not be surprised if you do not see ARP traffic. DSR-UU instead uses its own neighbor table that sets up the MAC-to-IP translation during route discovery.
標簽： DSR-UU implementation simulator network
上傳時間： 2016-11-06
上傳用戶：er1219
stm32 M4 discovery 芯片手冊
上傳時間： 2016-01-19
上傳用戶：feiniao200201
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
標簽： Optimization and Uncertainty Quantification
上傳時間： 2016-04-08
上傳用戶：huhu123456
Static electricity is the most ancient form of electricity known to humans. More than 2000 years ago, the Greeks recognized the attraction between certain mate- rials when they were rubbed together; indeed, the word electricity comes from the Greek elektron, which means amber. During the seventeenth and eighteenth centuries, several key experiments were conducted to understand and measure static electricity. But the discovery of electromagnetism and its formidable break- through has rapidly outgrown interest in static electricity. Even today, where the industrial applications of static electricity are not insignificant, they cannot compare with those of electromagnetism and electrodynamics.
標簽： Understand Discharge Electro Static
上傳時間： 2020-06-05
上傳用戶：shancjb
Although doing science is at the heart of discovery, the effort would have very limited consequence in the long term without writingscience. As a social enterprise that depends on collaboration, scientific inquiry requires its practi- tioners to write on a regular basis. From time to time, some members of the scientific community have been critical of the overall quality of writing by re- searchers.
標簽： Goldbort_Writing Science for
上傳時間： 2020-06-09
上傳用戶：shancjb
