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
[開源 綠色軟件] [運行環境 Windows XP/7/8/10] [語言 簡體/繁體/English/Unicode]
A cool music player. Powered by Bass and BassVis.
極簡本地音樂播放器,透明、純文本界面。支持輕媒體庫、歌詞、可視化。最小化到托盤,占用資源少,適合邊聽音樂邊工作。
應網友要求,加入了Tag編輯、自動切換列表、播放隊列、鼠標手勢、均衡器、音頻設備選擇、全局音量滾輪(托盤區域)、字體設置、極簡模式、鼠標穿透、嵌入桌面、簡單布局等功能。
homepage> mcool.appinn.me
====================================================
音頻格式APE、FLAC、WavPack、MP3、OGG、TTA、TAK、Musepack、AAC、AC3、WMA、Wav、CD、ALAC、Aiff、MOD、CUE
====================================================
更新歷史:
3336 -2016.3.25 點睛之筆:任意布局(追上foobar2000)。Arbitrary layout (all in one).
3330 -2016.3.10 一體布局之比例調節(初具foobar2000風貌)。Ratio adjust (all in one).
3308 -2015.11.28 歌詞微調(在選項>常規>鼠標手勢里設置)。Adds function of lyrics tuning.
3306 -2015.11.15 電臺模式(整點時切換歌曲或列表,并非在線音樂),以及多聲卡支持。Adds radio mode, and multi sound card support.
3300 -2015.10.15 完善細節,修復切歌卡住bug。完美版。Fixes some bugs.
3280 -2015.8.1 簡單布局功能。Layout (all in one) function.
3260 -2015.6.1 Win10模式。Win10 mode.
3252 -2015.5.10 任務欄進度條。Taskbar progress display.
3236 -2015.4.10 點睛之筆:透明度調節。Adds function of transparency tuning.
3232 -2015.3.25 自定義軟件名(請在mcool.ini中手動修改)。Adds function of customizing app name.
3230 -2015.3.12 Airplay復刻界面。Airplay interface copy.
3218 -2015.1.20 桌面歌詞。Desktop lyrics.
3216 -2015.1.12 一體化界面(學習Foobar2000和豆瓣FM)。All in one interface.
3212 -2015.1.6 新增Winamp音效插件支持(學習千千靜聽),以及滾輪穿透功能(學習Airplay3)。Adds Winamp DSP plugins support, and adds function of wheel transparent.
Winamp音效插件下載:http://uploadgeneration.info/Winamp/www.winamp.com/plugins/dsp-effect/5/top-rated.html
3210 -2014.12.28 重要更新:本地音量調節、自定義鼠標鍵/手勢。Adds local volume control, and adds fuction of customizing mouse control / gesture.
3208 -2014.11.25 簡化右鍵菜單,常規項目移到選項窗口。Simplifies the popup menu, moves the general items to option window.
3206 -2014.11.22 新增文本對齊選項,重新設計導航按鈕。Adds option of text alignment, and redesigns the buttons of playback.
3202 -2014.11.10 新增播放記憶、片段循環(Hotkey: Ctrl+1/2)和貼邊隱藏功能。Adds functions of playback memory, AB repeat and screen side hide.
3200 -2014.11.5 新增無界面選項(先去掉托盤圖標,然后Ctrl+Alt+W隱藏界面,Ctrl+Alt+X關閉)。Adds option of no interface.
3191 -2014.8.26 嵌入桌面。Pins to desktop.
3190 -2014.8.19 音樂管理第一步:列表分組。Playlists grouping.
3186 -2014.8.10 基于列表的分級系統(Hotkey:0..5)。Rating system based on playlist.
3181 -2014.8.1 啟用新圖標(由虹吸墨作者BGLL友情制作)。Uses the new icon.
3180 -2014.7.22 新增Win7任務欄特效。Adds windows 7 taskbar effect.
3166 -2014.6.29 重要更新:自動下載專輯封面(源于歌詞迷)。Downloads album covers from geci.me.
3160 -2014.6.1 重要更新:新增極簡模式,以及OGG/Opus內置封面顯示功能。Adds minimalist mode, and adds function of displaying cover embedded in OGG/Opus.
3152 -2014.5.18 添加托盤右鍵菜單,新增MP4/M4A(ALAC)內置封面顯示功能。Adds systray popup menu, and adds function of displaying cover embedded in MP4/M4A(ALAC).
3151 -2014.5.1 重新設計可視化效果,新增示波器效果。Redesigns visual effects, and adds oscilloscope effect.
3150 -2014.4.20 采用歌詞迷API下載歌詞。Downloads lyrics from geci.me.
3136 -2014.3.30 加入可選的按鈕,以及鼠標穿透功能。Adds function of transparent window.
3132 -2014.3.6 簡化界面,向Foobar2K看齊;增加正在播放面板。Simplifies the interface, and adds now playing panel.
3130 -2014.2.26 重要更新:按照專輯分組。Grouping by album.
3120 -2014.2.18 優化字體渲染(Windows7/8下)。Optimizes font rendering in Windows 7/8.
3110 -2014.1.26 點睛之筆:自定義字體顏色。Adds function of customizing font color.
3108 -2013.11.16 Last.fm同步功能(請到主頁下載插件)。Last.fm scrobbler support.
3106 -2013.11.8 可回溯的隨機播放(學習Airplay 2)。Random playback can be traced back.
3103 -2013.10.12 優化右鍵菜單。Optimizes popup menu.
3102 -2013.9.30 修改滾動條樣式,增加音頻緩沖選項。Modifies style of scroll bar, and adds option of audio buffer length.
3100 -2013.9.10 無邊框設計;迷你模式也可以不置頂(Hotkey:T)。Borderless designs.
3086 -2013.8.20 增加歌詞面板功能。Adds function of lyrics panel.
3082 -2013.8.08 增加在可視化界面顯示歌詞功能。Adds function of displaying lyrics on visual interface.
3080 -2013.8.01 新增設置字體功能,恢復簡單的自動關機功能。Adds function of setting font, and re-adds simple function of auto shutdown.
3060 -2013.6.26 修復在迷你模式停止響應的Bug,去掉自動關機、歌詞調整功能。Fixes bug of stop responding in mini mode, and removes functions of auto shutdown and lyrics trimming.
3050 -2013.5.23 增加手勢功能。Adds gesture function.
3030 -2013.3.10 增加Aero磨砂玻璃效果[如需源碼請聯系我],XP/Win7/8無差別顯示,按Insert鍵開啟。Adds aero glass effect.
3020 -2013.2.23 增加簡易Tag編輯功能(選中并單擊即可,相當于資源管理器中的重命名,按照[歌手 - 歌名][專輯]格式進行編輯)。Adds function of editing audio tags (select and click, edit with [artist - title][album] format).
3010 -2013.1.23 應網友要求,加入讀取內嵌CUE、歌詞及專輯封面功能。Adds function of reading CUE, LRC and album cover built in media.
3002 -2012.11.03 無按鈕設計;微調進度條尺寸。Buttonless design; modifies the size of the progress bar.
3001 -2012.10.15 重要改進,界面即按鈕:單擊 - 播放/暫停,按住 - 前進。Important update, the interface is a button: Click - Play/Pause, Hold Down - Next.
3000 -2012.9.28 增加Win8模式。Adds Win8 mode option.
2982 -2012.8.26 在Win8下使用微軟雅黑字體。Uses Microsoft YaHei font in Windows 8 CHS.
2981 -2012.8.20 視頻以插件提供(請到主頁下載),增加單曲循環功能。Adds function of repeat track.
2980 -2012.7.26 簡化代碼,去掉視頻和MIDI支持。Removes the video and MIDI support.
2970 -2012.7.20 增加媒體信息顯示功能。Adds function of displaying media info.
2960 -2012.6.28 增加專輯封面顯示功能(Hotkey:Ins)。Adds function of displaying album cover.
2956 -2012.6.01 再次簡化界面。Simplifies the interface again.
2952 -2012.4.28 增加音頻設備選擇功能:DS、ASIO、WASAPI。Adds function of selecting playback device.
2950 -2012.3.30 *增加滾輪調節音量功能(在托盤,中鍵靜音)和媒體鍵支持。Adds function of setting volume by mouse wheel (over systray, middle click to mute), and adds multimedia keys support.
2936 -2012.3.17 微調界面,修復物理刪除失效的BUG。Fine-tunes the interface, and restores the physical delete function.
2930 -2012.2.27 增加TAK格式支持。Adds TAK format support.
2923 -2012.2.12 緊急修復上一版出現的字體模糊BUG(Vista/Win7下),增加在任務欄顯/隱圖標功能(Ctrl+T)。Fixes font vague bug for Vista/Win7, and adds showing/hiding icon on taskbar function.
2920 -2012.2.08 微調界面,優化CPU占用(啟用背景圖片時)。Fine-tunes the interface, and optimizes CPU utilization (while enable background image).
2912 -2012.1.12 增加播放隊列功能。Adds playback queue function.
2910 -2011.12.25 改進迷你模式,增加查找功能。Improves mini mode, and adds find function.
*注:此功能對殺毒軟件過敏,開啟方法:按F1進入選項,勾選全局快捷鍵。The feature is allergic to the anti-virus software.
The 4.0 kbit/s speech codec described in this paper is based on a
Frequency Domain Interpolative (FDI) coding technique, which
belongs to the class of prototype waveform Interpolation (PWI)
coding techniques. The codec also has an integrated voice
activity detector (VAD) and a noise reduction capability. The
input signal is subjected to LPC analysis and the prediction
residual is separated into a slowly evolving waveform (SEW) and
a rapidly evolving waveform (REW) components. The SEW
magnitude component is quantized using a hierarchical
predictive vector quantization approach. The REW magnitude is
quantized using a gain and a sub-band based shape. SEW and
REW phases are derived at the decoder using a phase model,
based on a transmitted measure of voice periodicity. The spectral
(LSP) parameters are quantized using a combination of scalar
and vector quantizers. The 4.0 kbits/s coder has an algorithmic
delay of 60 ms and an estimated floating point complexity of
21.5 MIPS. The performance of this coder has been evaluated
using in-house MOS tests under various conditions such as
background noise. channel errors, self-tandem. and DTX mode
of operation, and has been shown to be statistically equivalent to
ITU-T (3.729 8 kbps codec across all conditions tested.
The SP2526A device is a dual +3.0V to +5.5V USB Supervisory Power Control Switch ideal
for self-powered and bus-powered Universal Serial Bus (USB) applications. Each switch has
low on-resistance (110mΩ typical) and can supply 500mA minimum. The fault currents are
limited to 1.0A typical and the flag output pin for each switch is available to indicate fault
conditions to the USB controller. The thermal shutdown feature will prevent damage to the
device when subjected to excessive current loads. The undervoltage lockout feature will
ensure that the device will remain off unless there is a valid input voltage present.
The recent developments in full duplex (FD) commu-
nication promise doubling the capacity of cellular networks using
self interference cancellation (SIC) techniques. FD small cells
with device-to-device (D2D) communication links could achieve
the expected capacity of the future cellular networks (5G). In
this work, we consider joint scheduling and dynamic power
algorithm (DPA) for a single cell FD small cell network with
D2D links (D2DLs). We formulate the optimal user selection and
power control as a non-linear programming (NLP) optimization
problem to get the optimal user scheduling and transmission
power in a given TTI. Our numerical results show that using
DPA gives better overall throughput performance than full power
transmission algorithm (FPA). Also, simultaneous transmissions
(combination of uplink (UL), downlink (DL), and D2D occur
80% of the time thereby increasing the spectral efficiency and
network capacity
Mobilenetworkoperatorswillmeetmanychallengesinthecomingyears.Itisexpectedthatthe
numberofpeopleconnected,wirelineandwireless,willreachfivebillionby2015.Atthesame
time, people use more wireless services and they expect similar user experience to what they
can now get from fixed networks. Because of that we will see a hundred-fold increase in
network traffic in the near future. At the same time markets are saturating and the revenue per
bit is dropping.
This book is intended for the graduate or advanced undergraduate
engineer. The primary motivation for developing the text was to present a
complete tutorial of phase-locked loops with a consistent notation. I believe
this is critical for the practicing engineer who uses the text as a self-study
guide.
I love telecommunications. It is powerful and it empowers, with
far-reaching consequences. It has demonstrated the potential to transform
society and business, and the revolution has only just begun. With the invention
of the telephone, human communications and commerce were forever changed: Time
and distance began to melt away as a barrier to doing business, keeping in touch
with loved ones, and being able to immediately respond to major world events.
Through the use of computers and telecommunications networks, humans have been
able to extend their powers of thinking, influence, and productivity, just as
those in the Industrial Age were able to extend the power of their muscles, or
physical self, through use of heavy machinery.
Wireless Mesh Networks (WMN) are believed to be a highly promising
technology and will play an increasingly important role in future
generation wireless mobile networks. WMN is characterized by
dynamic self-organization, self-configuration and self-healing to
enable quick deployment, easy maintenance, low cost, high scalability
and reliable services, as well as enhancing network capacity, connect-
ivity and resilience.
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.