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：netangels
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
標(biāo)簽： recognition Bi-density machines support pattern vector twin for
上傳時(shí)間： 2019-06-09
上傳用戶：lyaiqing
Digital cellular telecommunications system (Phase 2+); Technical realization of the Short Message Service (SMS) Point-to-Point (PP) (3GPP TS 03.40 version 7.5.0 Release 1998)
標(biāo)簽： GSM
上傳時(shí)間： 2019-06-14
上傳用戶：twogozi
在微電網(wǎng)調(diào)度過程中綜合考慮經(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)，在迭代過程中引入模糊聚 類分析來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 模型識別 微電網(wǎng) 多目標(biāo)優(yōu)化 聚類分析
上傳時(shí)間： 2019-11-11
上傳用戶：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：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：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：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：shancjb
The objective of this book is to allow the reader to predict the received signal power produced by a particular radio transmitter. The first two chapters examine propagation in free space for point-to-point and point-to-area transmission, respectively. This is combined with a dis- cussion regarding the characteristics of antennas for various purposes. In chapter 3, the effect of obstacles, whether buildings or mountains, is discussed and analytical methods, whereby the strength of a signal is the shadow of an obstacle can be predicted, are presented.
標(biāo)簽： Propagation Essentials Radio Wave of
上傳時(shí)間： 2020-05-27
上傳用戶：shancjb
During the past decade, many wireless communication techniques have been developedto achievevariousgoals suchas higherdata rate,morerobustlink quality, and higher number of users in a given bandwidth. For wireless communication systems, depending on the availability of a feedback link, two approaches can be considered: namely open and closed loop. Open loop communication system that does not exploit the channel knowledge at the transmitter is now well understood from both a theoretical and practical point of view.
標(biāo)簽： Communication Strategies Feedback Wireless for
上傳時(shí)間： 2020-05-27
上傳用戶：shancjb
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