亞惠快餐管理信息系統(tǒng) 包括亞惠快餐管理的各項(xiàng)功能，含BI分析
標(biāo)簽： 管理信息系統(tǒng)
上傳時(shí)間： 2013-12-19
上傳用戶：gxf2016
Manufacturers of electronic systems that require power conversion are faced with the need for higher-density dc-to-dc converters that perform more efficiently,
標(biāo)簽： Manufacturers electronic conversion systems
上傳時(shí)間： 2015-04-17
上傳用戶：diets
Routine mar1psd: To compute the power spectum by AR-model parameters. Input parameters: ip : AR model order (integer) ep : White noise variance of model input (real) ts : Sample interval in seconds (real) a : Complex array of AR parameters a(0) to a(ip) Output parameters: psdr : Real array of power spectral density values psdi : Real work array in chapter 12
標(biāo)簽： parameters AR-model Routine mar1psd
上傳時(shí)間： 2015-06-09
上傳用戶：playboys0
電力系統(tǒng)在臺穩(wěn)定計(jì)算式電力系統(tǒng)不正常運(yùn)行方式的一種計(jì)算。它的任務(wù)是已知電力系統(tǒng)某一正常運(yùn)行狀態(tài)和受到某種擾動，計(jì)算電力系統(tǒng)所有發(fā)電機(jī)能否同步運(yùn)行 1運(yùn)行說明： 請輸入初始功率S0，形如a+bi 請輸入無限大系統(tǒng)母線電壓V0 請輸入系統(tǒng)等值電抗矩陣B 矩陣B有以下元素組成的行矩陣 1正常運(yùn)行時(shí)的系統(tǒng)直軸等值電抗Xd 2故障運(yùn)行時(shí)的系統(tǒng)直軸等值電抗X d 3故障切除后的系統(tǒng)直軸等值電抗 請輸入慣性時(shí)間常數(shù)Tj 請輸入時(shí)段數(shù)N 請輸入哪個時(shí)段發(fā)生故障Ni 請輸入每時(shí)段間隔的時(shí)間dt
標(biāo)簽： 電力系統(tǒng) 正 計(jì)算 運(yùn)行
上傳時(shí)間： 2015-06-13
上傳用戶：it男一枚
電力系統(tǒng)靜態(tài)穩(wěn)定計(jì)算一般采用小干擾法，即首先計(jì)算近似的線性微分方程組系數(shù)矩陣的特征根。然后根據(jù)特征根在復(fù)平面上的特性，判別電力系統(tǒng)運(yùn)行的穩(wěn)定性 操作說明： 請輸入初始功率S0，形如a+bi 請輸入無限大系統(tǒng)母線電壓V0 請輸入系統(tǒng)直軸等值電抗的大小Xd 請輸入同步電角速度 請輸入慣性時(shí)間常數(shù)Tj 請輸入綜合阻尼系數(shù)D
標(biāo)簽： 電力系統(tǒng) 干擾 計(jì)算
上傳時(shí)間： 2013-12-17
上傳用戶：zhengzg
Rotating shafts experience a an elliptical motion called whirl. It is important to decompose this motion into a forward and backward whil orbits. The current function makes use of two sensors to generate a bi-directional spectrogram. The method can be extended to any time-frequency distribution ％ ％ compute the forward/backward Campbell/specgtrogram ％ ％ INPUT: ％ y (n x 2) each column is measured from a different sensor ％ /////// ％ __ ％ |s1| y(:,1) ％ |__| ％ __ ％ / \ ________|/ ％ | | | s2 |/ y(:,2) ％ \____/ --------|/ ％ ％ Fs Sampling frequnecy ％ ％ OUTPUT: ％ B spectrogram/Campbel diagram ％ x x-axis coordinate vector (time or Speed) ％ y y-axis coordinate vector (frequency [Hz])
標(biāo)簽： experience elliptical decompose important
上傳時(shí)間： 2015-06-23
上傳用戶：372825274
A complete business intelligence platform that includes reporting, analysis (OLAP), dashboards, data mining and data integration (ETL). Use it as a full suite or as individual components that are accessible via web services. Ranked #1 in open source BI.
標(biāo)簽： intelligence dashboards reporting complete
上傳時(shí)間： 2015-09-11
上傳用戶：離殤
The Hardware folder contains the following files:- 1) Sram_Interface.bit -----------------> Bitstream File 2) Sram_Interface.ucf -----------------> UCF File 3) Sram_Interface.vhd -----------------> Main Entity 4) Sram_Interface_tb.vhd ------------> Test Bench 5) SRAM_RD_WR.vhd ------------> Sub Module
標(biāo)簽： Sram_Interface following Hardware contains
上傳時(shí)間： 2014-11-11
上傳用戶：gmh1314
C# BigInteger class. BigInteger.cs is a csharp program. It is the BIgInteger class. It has methods: abs() , FermatLittleTest(int confidence) ,gcd(BigInteger bi) , genCoPrime(int bits, Random rand) , genPseudoPrime(int bits, int confidence, Random rand) , genRandomBits(int bits, Random rand) , isProbablePrime(int confidence) , isProbablePrime() , Jacobi(BigInteger a, BigInteger b) , LucasSequence(BigInteger P, BigInteger Q, BigInteger k, BigInteger n) ,max(BigInteger bi) , min(BigInteger bi) , modInverse(BigInteger modulus) , RabinMillerTest(int confidence) ,
標(biāo)簽： BigInteger class BIgInteger program
上傳時(shí)間： 2013-12-23
上傳用戶：ynzfm
A general technique for the recovery of signi cant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signi cant colors, a prepro- cessor for content-based query systems. A 512 512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate
標(biāo)簽： technique presented features recovery
上傳時(shí)間： 2015-10-14
上傳用戶：410805624
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