C#遠(yuǎn)控源代碼 * TCP network stream (IPv4 & IPv6 support) * Fast network serialization (NetSerializer) * Compressed (QuickLZ) & Encrypted (AES-128) communication * Multi-Threaded * UPnP Support * No-Ip.com Support * Visit Website (hidden & visible) * Show Messagebox * Task Manager * File Manager * Startup Manager * Remote Desktop * Remote Webcam * Remote Shell * Download & Execute * Upload & Execute * System Information * Computer Commands (Restart, Shutdown, Standby) * Keylogger (Unicode Support) * Reverse Proxy (SOCKS5) * Password Recovery (Common Browsers and FTP Clients) * Registry Editor
標(biāo)簽： QuasarRAT
上傳時(shí)間： 2019-04-21
上傳用戶(hù)：netangels
pcie3.0標(biāo)準(zhǔn)規(guī)范 1. INTRODUCTION 2. TRANSACTION LAYER SPECIFICATION 3. DATA LINK LAYER SPECIFICATION 4. PHYSICAL LAYER SPECIFICATION 5. POWER MANAGEMENT 6. SYSTEM ARCHITECTURE 7. SOFTWARE INITIALIZATION AND CONFIGURATION
標(biāo)簽： pcie3
上傳時(shí)間： 2019-07-05
上傳用戶(hù)：bingshi
在微電網(wǎng)調(diào)度過(guò)程中綜合考慮經(jīng)濟(jì)、環(huán)境、蓄電池的 循環(huán)電量，建立多目標(biāo)優(yōu)化數(shù)學(xué)模型。針對(duì)傳統(tǒng)多目標(biāo)粒子 群算法(multi-objective particle swarm optimization，MOPSO) 的不足，提出引入模糊聚類(lèi)分析的多目標(biāo)粒子群算法 (multi-objective particle swarm optimization algorithm based on fuzzy clustering，F(xiàn)CMOPSO)，在迭代過(guò)程中引入模糊聚 類(lèi)分析來(lái)尋找每代的集群最優(yōu)解。與 MOPSO 相比， FCMOPSO 增強(qiáng)了算法的穩(wěn)定性與全局搜索能力，同時(shí)使優(yōu) 化結(jié)果中 Pareto 前沿分布更均勻。在求得 Pareto 最優(yōu)解集 后，再根據(jù)各目標(biāo)的重要程度，用模糊模型識(shí)別從最優(yōu)解集 中找出不同情況下的最優(yōu)方案。最后以一歐洲典型微電網(wǎng)為 例，驗(yàn)證算法的有效性和可行性。
標(biāo)簽： 模糊 模型識(shí)別 微電網(wǎng) 多目標(biāo)優(yōu)化 聚類(lèi)分析
上傳時(shí)間： 2019-11-11
上傳用戶(hù)：Dr.趙勁帥
New applications such as video conferencing, video on demand, multi- media transcoders, Voice-over-IP (VoIP), intrusion detection, distributed collaboration, and intranet security require advanced functionality from networks beyond simple forwarding congestion control techniques.
標(biāo)簽： Programmable Networks Active and
上傳時(shí)間： 2020-05-26
上傳用戶(hù)：shancjb
Emerging technologies such as WiFi and WiMAX are profoundly changing the landscape of wireless broadband. As we evolve into future generation wireless networks, a primary challenge is the support of high data rate, integrated multi- media type traffic over a unified platform. Due to its inherent advantages in high-speed communication, orthogonal frequency division multiplexing (OFDM) has become the modem of choice for a number of high profile wireless systems (e.g., DVB-T, WiFi, WiMAX, Ultra-wideband).
標(biāo)簽： Broadband Wireless Networks
上傳時(shí)間： 2020-05-26
上傳用戶(hù)：shancjb
Employing multiple transmit and receive antennas, namely using multi-input multi-output (MIMO) systems, has proven to be a major breakthrough in providing reliable wireless communication links. Since their invention in the mid-1990s, transmit diversity, achieved through space-time coding, and spatial multiplexing schemes have been the focus of much research in the area of wireless communications.
標(biāo)簽： Communication Systems Coding MIMO for
上傳時(shí)間： 2020-05-26
上傳用戶(hù)：shancjb
Today’s wireless services have come a long way since the roll out of the conventional voice-centric cellular systems. The demand for wireless access in voice and high rate data multi-media applications has been increasing. New generation wireless communication systems are aimed at accommodating this demand through better resource management and improved transmission technologies.
標(biāo)簽： Radio Cognitive Software Defined
上傳時(shí)間： 2020-05-26
上傳用戶(hù)：shancjb
This introduction takes a visionary look at ideal cognitive radios (CRs) that inte- grate advanced software-defined radios (SDR) with CR techniques to arrive at radios that learn to help their user using computer vision, high-performance speech understanding, global positioning system (GPS) navigation, sophisticated adaptive networking, adaptive physical layer radio waveforms, and a wide range of machine learning processes.
標(biāo)簽： Technology Cognitive Radio
上傳時(shí)間： 2020-05-26
上傳用戶(hù)：shancjb
Mobile communication has gained significant importance in today’s society. As of 2010, the number of mobile phone subscribers has surpassed 5 billion [ABI10], and the global annual mobile revenue is soon expected to top $1 trillion [Inf10]. While these numbers appear promising for mobile operators at first sight, the major game-changer that has come up recently is the fact that the market is more and more driven by the demand for mobile data traffic [Cis10].
標(biāo)簽： Coordinated Multi-Point
上傳時(shí)間： 2020-05-27
上傳用戶(hù)：shancjb
It is commonly accepted today that optical fiber communications have revolutionized telecommunications. Indeed, dramatic changes have been induced in the way we interact with our relatives, friends, and colleagues: we retrieve information, we entertain and educate ourselves, we buy and sell, we organize our activities, and so on, in a long list of activities. Optical fiber systems initially allowed for a significant curb in the cost of transmission and later on they sparked the process of a major rethinking regarding some, generation-old, telecommunication concepts like the (OSI)-layer definition, the lack of cross-layer dependency, the oversegmentation and overfragmentation of telecommunica- tions networks, and so on.
標(biāo)簽： Networks Metro Core and
上傳時(shí)間： 2020-05-27
上傳用戶(hù)：shancjb
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