autofilter and advanced filter
Tài liệu Module 7: Advanced Application and Web Filtering doc
... Overview Advanced Application and Web Filtering Overview Configuring HTTP Web Filters Additional Application and Web Filters Lesson: Advanced Application and Web Filtering Overview ... custom filters that have been developed using the application filter API or the Web filter API Application and Web Filter Architecture Web Filters Web Filter API Web Proxy Filter Application Filters ... and Web Filters About the FTP Application Filter About the SOCKS V4 Application Filter Other Application and Web Filters How to Develop Application and Web Filters About the FTP Application Filter...
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Stored Procedure and Advanced T-SQL
... bulk copy data từ text file vào SQL Server database Mở Query Analyser (BULK INSERT T-SQL command command prompt utility) đánh vào dòng sau : BULK INSERT PracticeDB Orders (DATAFILETYPE = 'CHAR') ... The customer exists in DB go ahead and insert the order BEGIN If Exists(SELECT OrderID FROM [Orders] WHERE OrderID=@OrderID) more so Roll back This order exists and could not be added any BEGIN ... đầu ngữ xp_ Ví dụ, xp_sendmail dùng đề gởi mail cho người hay xp_cmdshell dùng để chạy DOS command Ví dụ xp_cmdshell 'dir c:\' Nhiều loại extend stored procedure xem system stored procedure...
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Data Integrity and Advanced Query Technique
... TABLE Table1 (Col1 INT PRIMARY KEY, Col2 INT CONSTRAINT limit_amount 1000), CHECK (Col2 BETWEEN AND Col3 VARCHAR(30) ) Trong ví dụ ta giới hạn giá trị chấp nhận cột Col2 từ đến 1000 Ví dụ sau ... (Col1 INT PRIMARY KEY, Col2 INT, Col3 VARCHAR(30), CONSTRAINT limit_amount CHECK (Col2 BETWEEN AND 1000) ) Tương tự Foreign Key Constraint ta cần disable Check Constraint trường hợp Insert hay ... Manager làm sau: Click lên table chọn Design Table-> Click vào icon bên phải "Manage Constraints " Advanced Query Techniques Trong phần đào sâu số câu lệnh nâng cao SELECT, INSERT Có thể nói biết...
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Compatibility and Advanced Interoperation
... float let rand = new Random() let getRandomQuantity() = match rand.Next(1) with | -> Quantity.Discrete (rand.Next()) | _ -> Quantity.Continuous (rand.NextDouble() * float_of_int (rand.Next())) ... path>";; command, 307 #if FLAG command, 119 #import command, 342 #light declaration, 21 #load "." "";; command, 308 #nowarn 51 command, 337 #quit;; command, 308 #r " EasyQuantity.Discrete (rand.Next()) | _ -> EasyQuantity.Continuous (rand.NextDouble() * float_of_int (rand.Next())) This will...
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Data Integrity and Advanced Query Technique
... CREATE TABLE Table1 (Col1 INT PRIMARY KEY, Col2 INT CONSTRAINT limit_amount CHECK (Col2 BETWEEN AND 1000), Col3 VARCHAR(30) ) Trong ví dụ ta giới hạn giá trị chấp nhận cột Col2 từ đến 1000 Ví ... (Col1 INT PRIMARY KEY, Col2 INT, Col3 VARCHAR(30), CONSTRAINT limit_amount CHECK (Col2 BETWEEN AND 1000) ) Tương tự Foreign Key Constraint ta cần disable Check Constraint trường hợp Insert hay ... làm sau: Click lên table chọn Design Table-> Click vào icon bên phải "Manage Constraints " 5.3 Advanced Query Techniques Trong phần đào sâu số câu lệnh nâng cao SELECT, INSERT Có thể nói biết...
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Strength Modeling And Advanced Net Types Definitions
... Nets triand and trior have the same syntax and function as the nets wor and wand The example below explains the function wand out1; wor out2; buf (out1, 1'b0); buf (out1, 1'b1); //out1 is a wand ... Keywords wor, wand, trior, and triand are used to resolve such conflicts Net wand perform the and operation on multiple driver logic values If any value is 0, the value of the net wand is Net wor ... value of a //instead of going to z strength is large A.3.3 tri0 and tri1 Keywords tri0 and tri1 are used to model resistive pulldown and pullup devices A tri0 net has a value if nothing is driving...
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REVIEW, AND ADVANCED MEDIATION TECHNIQUES
... Decision-making/ Đưa định dựa sở đồng thuận Rotating Chair (Union and Management)/ Thay phiên chủ trì (công đoàn quản lý) Agenda and Minutes/ Chương trình biên Lots of 2-way communication tools/ ... with top management / Chính sách mở cửa với lãnh đạo cấp cao Supervisors and Union representatives trained in communication and conflict resolution skills/ Đại diện công đoàn giám sát viên đào tạo ... One Party decides after consultation and feedback from the other Party / Một bên định sau tư vấn nghe thông tin phản hồi từ phía bên D-3 Two Parties consult and jointly agree / Hai bên tư vấn đồng...
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Tài liệu Tracking and Kalman filtering made easy P1 doc
... inside unit circle and on real axis in z plane 38 g–h AND g–h–k FILTERS TABLE 1.2-5 Smoothing Constants for Critically Damped g–h and g–h–k Digital Filters g–h Filter g–h–k Filter g h g h k ... Company.) WHY TRACKING AND PREDICTION ARE NEEDED IN A RADAR Figure 1.1-3 Fan-beam track-while-scan S-band and X-band radar antennas emplaced on tower at Prince William Sound Alaska (S-band antenna on ... book for the determination of artillery and mortar launch sites are the Firefinder AN=TPQ-36 and AN=TPQ-37 radars of Figures 1.1-15 and 1.1-16 [1] An air and surface–ship surveillance radar that...
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Tài liệu Tracking and Kalman filtering made easy P2 docx
... TRACKING FILTER TABLE 2.11-1 Synopsis of the Accuracy Comparison of the Five Tracking Filters (After Singer and Behnke [26]) Target Type Filter type 0 Surface and Air Search Radar Surface and Air ... the covariance matrix S Ã and we index the 1;1 rows and columns starting with the first being 0, the second 1, and so on, to be consistent with reference and Chapters and If the filter acquisition ... Tracking Filters: Steady-State Filtering and Smoothing Performance,’’ IEEE Transactions on Aerospace and Electronic Systems, Vol AES-16, No 6, November 1980 # 1980 IEEE.) from the random acceleration...
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Tài liệu Tracking and Kalman filtering made easy P3 pdf
... 3.1.4 Combined Clutter Suppression and Track Initiation It is apparent from Sections 3.1.1 and 3.1.2 that clutter suppression and track initiation go hand in hand Often the engineer generating ... 12, and 14 form the returns from such a constant-velocity target, the target having a velocity in the band between 28 and 35 knots The rule used for declaring a target present in a Doppler band ... sensitivity for spiky sea and rain clutter and a low loss for lognormal clutter and Weibull clutter The idea is to use a higher false-alarm probability for detection and to then use the track...
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Tài liệu Tracking and Kalman filtering made easy P4 docx
... this case M, T, and È all become a function of time (or equivalently n) and are replaced by M n and T n and Èðt n ; t nÀ1 Þ, respectively; see pages 172, 173, and 182 of reference and Chapter 15 ... g–h growing-memory (expandingmemory) filter whose weights g and h are given by (1.2-38a and 1.2-38b) The g–h filter itself is defined by (1.2-8a) and (1.2-8b) In Chapters and an indication is given ... representing the target range Then M is given by (2.4-3a) and Y n and N n are given by respectively (2.4-3c) and (2.4-3b) Substituting (4.1-15) and (2.4-3a) into (4.1-13) yields T¼ 1 ÀT ! ð4:1-17Þ...
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Tài liệu Tracking and Kalman filtering made easy P5 ppt
... SYSTEMATIC AND RANDOM ESTIMATION ERRORS magnitude as was done in Section 1.2.4.5; see (1.2-22) and (1.2-23) One way of doing this is described in the next section 5.10 BALANCING SYSTEMATIC AND RANDOM ... measured and not its derivatives, then Y n ¼ MX n þ N n ð5:4-3Þ where because range is the only measurement M ¼ ½1 0 0 ð5:4-3aÞ and Y n and N n are  matrices given by Yn ¼ ½ yn and N n ¼ ... procedure allows the determination of the L and m that gives simultaneously the lowest total error and the best balance between the systematic and random errors 5.11 TREND REMOVAL Sometimes the...
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Tài liệu Tracking and Kalman filtering made easy P6 ppt
... EXPANDING-MEMORY (GROWING-MEMORY) POLYNOMIAL FILTERS 6.2 EXTRAPOLATION FROM FIXED-MEMORY FILTER RESULTS All the results given in Chapter for the fixed-memory filter apply directly to the expanding-memory ... (5.6-4), (5.6-7), and (5.8-1)] and systematic error [such as (5.10-2) and (5.10-3)] apply with L replaced by n The least-squares polynomial fit equations given by (5.3-11), (5.3-13), and (5.5-3) also ... ðnÀ1Þ Ã and the newest measurement y n Stated another way, the state vector Z n;nÀ1 is a sufficient statistic [8, 9, 100] 235 RECURSIVE FORM TABLE 6.3-1 Expanding-Memory Polynomial Filter Define...
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Tài liệu Tracking and Kalman filtering made easy P7 pdf
... nÀ2, r ¼ and r ¼ , and the error for this time sample can even be bigger, and so forth Thus with this weighting the errors relative to the fitting polynomial are discounted more and more as ... fading-memory filter stability, variance, track initiation, and systematic error, as well as the issue of balancing systematic and random prediction errors and compare this filter with the fixed-memory filter ... 7.4-2 and 5.8-1 are tabulated in Table 7.5-1 for i ¼ 0; ; 10 and m ¼ 0; ; 10 7.6 TRACK INITIATION In Sections 1.2.10 and 1.3 track initiation was discussed for the fading-memory g–h and g–h–k...
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Tài liệu Tracking and Kalman filtering made easy P8 ppt
... obtained by using the straightforward method illustrated in Section 2.4; see (2.4-1), (2.4-1a), and (2.4-1b) and (1.3-1) in Section 1.3 However, as shall be seen later, for more complicated target models, ... Substituting (8.1-20) into (8.1-19) yields Xðt n þ &Þ ¼ Èð&ÞXðt n Þ ð8:1-21Þ Also from (8.1-15), and (8.1-20) it follows Èð&Þ ¼ I þ &A þ &2 &3 A þ A þ ÁÁÁ 2! 3! ð8:1-22Þ From (8.1-17) it follows ... polynomial trajectory of degree d ¼ From (8.1-10a) we have A Substituting this value for A into (8.1-22) and letting & ¼ T yields (5.4-7), the transition matrix for the constant-accelerating target as...
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Tài liệu Tracking and Kalman filtering made easy P9 pdf
... BAYES FILTER and Y nþ1 , one could again use (4.1-30) and (4.5-4) with Y ðnÞ now replaced by Y ðnþ1Þ , which is Y ðnÞ of (4.1-11a) with Y nþ1 added to it Correspondingly the matrices T and R ... obtained directly from Y nþ1 and X n;n and à This is done by obtaining the their respective variances R nþ1 and S n;n à à minimum-variance estimate of X nþ1;nþ1 using Y nþ1 and X n;n together with ... equations for the growing- and fading-memory filters in Sections 6.3, 7.2, and 1.2.6.) 9.2 BAYES FILTER à The recursive form of the minimum variance estimate based on Y nþ1 and X n;n is given by [5,...
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Tài liệu Tracking and Kalman filtering made easy P10 pptx
... the first m rows of F and remaining s À m bottom rows of F Then f1 F1 ¼ ð10:2-35Þ fm0 and f m þ1 F2 ¼ ð10:2-36Þ fs and F gm0 F ¼ - F gs À m0 ð10:2-37Þ and from (10.2-8) and (10.2-31) to (10.2-34) ... follows from (4.3-9) to (4.3-11), and also from (4.3-16) and (4.3-17) and reference 79 (p 57), that F T F ¼ I ¼ FF T ð10:2-1Þ F À1 ¼ F T ð10:2-2Þ kF Yk ¼ kYk ð10:2-3Þ and Also where k k is the Euclidean ... lengths for B and S become, respectively, 20 and 10 bits 10.2.4 When and Why Inaccuracies Occur Consider the constant-velocity target least-squares estimate problem given in Sections 1.2.6 and 1.2.10,...
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Tài liệu Tracking and Kalman filtering made easy P11 pdf
... Using (11.1-6a) and (11.1-6b), it is easy to verify that ðt 11 Þ ¼ c t 11 þ s t 21 2 ¼ ðt 11 þ t 21 Þ 1=2 ð11:1-9Þ and that the lower left-hand component of the matrix on the right-hand side of (11.1-8) ... coordinates of the first column matrix t of T Here i and j are unit direction vectors for respectively the first and second coordinates of t , the x and y coordinates respectively Figure 11.1-1a shows ... coordinates being zero Hence, from Figure 11.1-2a and (11.1-6) g ¼ i cos þ j sin þ k Á þ þ Á Á Á ð11:1-18Þ where i, j, and k are the unit vectors in the x, y, and z directions of the rectangular coordinate...
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Tài liệu Tracking and Kalman filtering made easy P12 doc
... first and third coordinates of ðt Þ , which is designated as 2 in (11.1-16) and Figures 11.1-2b,c Again the second t coordinate is orthogonal to the first but in the plane defined by the first and ... and the third coordinates of t are zero; see (11.1-3) This simple Givens transformation again replaces two coordinates of ðt Þ , the first and third, with one, the second being zero The first and ... when (11.1-31) and (11.3-3) were given and before that in Section 4.3; see, for example, (4.3-56) If the last Householder transformation H m þ1 is not carried out, then Y is not zero and 0 Ã eðX...
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Tài liệu Tracking and Kalman filtering made easy P13 pdf
... the plane formed by the vectors t and t or equivalently h and t Again, this is exactly how q 02, and equivalently q 2, is picked in the CGS method; see (13.1-8) and the related discussion immediately ... t to FT of (12.2-6) and (3.1-35) in general As we shall see now, the CGS orthogonalization generation of R gives us a physical significance for R and U and in turn for R and U Examination of ... different results are ð2Þ obtained for ðt j Þ and ðt j Þ 2c and for r 2j and r 2j It is because r 2j uses t j [see (13.2-7a)] while r 2j uses t j [see (13.2-6a) and (13.1-11)] that we use a prime to...
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