Tabla de Contenidos: “…Using SAP NetWeaver 2004s Business Intelligence with DB2 UDB -- 10.1 SAP BI technical overview -- 10.1.1 SAP BI information model -- 10.2 Clustering support in DB2 UDB V8.2.2 -- 10.2.1 Index clustering -- 10.2.2 Multi-dimensional clustering (MDC) -- 10.3 Clustering support in SAP NetWeaver 2004s BI -- 10.3.1 Persistent Staging Area (PSA) -- 10.3.2 DataStore objects -- 10.3.3 InfoCube fact tables -- 10.3.4 Aggregates -- 10.3.5 Defining clustering for InfoCubes -- 10.3.6 Defining MDC for DataStore objects -- 10.4 Re-clustering InfoCubes and DataStore objects -- 10.4.1 Re-clustering for InfoCubes…”

Tabla de Contenidos: “…3.9 Two Outputs Simplification-Computer-Based Prime Implicants Using Star Product and Sharp Operations -- 3.9.1 Combination of Two Cubes Differing in One Variable into One Cube-A Star Product Operation -- 3.9.2 Finding Essential Prime Implicants Using Two Cubes-A Sharp Operation -- 3.9.3 Computer-Based Minimization Method to Find Minimum Required Cover (SOP function implicants) -- 3.10 Computer-Based Minimization-Quine-McCluskey Method -- 3.10.1 Quine-McCluskey Method of Finding Prime Implicants -- 3.10.2 Finding Minimal Sum from the Prime Implicants for an Output -- 3.10.3 Finding Minimal Sum for the Multi-Output Case Using Quine-McCluskey Method -- Chapter 4: Binary Arithmetic and Decoding and Mux Logic Units -- 4.1 Binary Arithmetic Units -- 4.1.1 Binary Addition of Two Bits -- 4.1.2 Addition of Two Arithmetic Numbers Each of 4 Bits -- 4.1.3 Subtraction of Two Arithmetic Numbers Each of 4 Bits -- 4.2 Decoder -- 4.2.1 Decoder (Line Decoder) -- 4.2.2 The 1 of 2 and 1 of 4 Line Decoders -- 4.2.3 The Four-line to 16-line Decoder -- 4.2.4 Function Specific Decoders -- 4.3 Encoder -- 4.3.1 Encoder (Line Encoder) -- 4.3.2 Encoder (Priority Encoder) -- 4.3.3 BCD 10 of 1 Four-bit Encoder -- 4.3.4 Octal 8 of 1 Three-bit Encoder and Hexadecimal Encoder -- 4.4 Multiplexer -- 4.4.1 Multiplexer (Line Selector) -- 4.4.2 Multiplexer with Outputs Enabling Control (gate) Pin(s) -- 4.5 Demultiplexer -- 4.5.1 Demultiplexer Definition -- Chapter 5: Code Converters, Comparators and Other Logic Processing Circuits -- 5.1 Code Converters -- 5.1.1 Codes for Decimal Numbers -- 5.1.2 Unit Distance Code Converter -- 5.1.3 ASCII (American Standard Code for Information Interchange) for the Alphanumeric Characters -- 5.2 Equality and Magnitude Comparators Between Two Four-bit Numbers -- 5.3 Odd Parity and Even Parity Generators -- 5.4 The 4-bit AND, OR, XOR Between Two Words…”

Tabla de Contenidos: “…5.9 Sequential Hazards5.10 Sources; Problems; 6 Muller Circuits; 6.1 Formal Definition of Speed Independence; 6.1.1 Subclasses of Speed-Independent Circuits; 6.1.2 Some Useful Definitions; 6.2 Complete State Coding; 6.2.1 Transition Points and Insertion Points; 6.2.2 State Graph Coloring; 6.2.3 Insertion Point Cost Function; 6.2.4 State Signal Insertion; 6.2.5 Algorithm for Solving CSC Violations; 6.3 Hazard-Free Logic Synthesis; 6.3.1 Atomic Gate Implementation; 6.3.2 Generalized C-Element Implementation; 6.3.3 Standard C-Implementation; 6.3.4 The Single-Cube Algorithm…”

Tabla de Contenidos: “…. -- Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding -- Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data -- Association Rules II -- Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube -- Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining -- Mining Open Source Software (OSS) Data Using Association Rules Network -- Parallel FP-Growth on PC Cluster -- Feature Selection -- Active Feature Selection Using Classes -- Electricity Based External Similarity of Categorical Attributes -- Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers -- Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach -- Stream Mining III -- Considering Correlation between Variables to Improve Spatiotemporal Forecasting -- Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach -- When to Update the Sequential Patterns of Stream Data? …”

Tabla de Contenidos: “…-- Pop quiz - input handling -- How to steer spatials -- Time for action - you are the CubeChaser -- What just happened? -- Time for action - chase all the cubes! …”

Tabla de Contenidos: “…Design Problem 7.5: Instantaneous Operation Wideband RF-Spectrum Analyzer -- Design Problem 7.6: Efficient Free-Space to Single-Mode Fiber (SMF) Light Coupling -- Design Problem 7.7: Fiber-Optic Variable Optical Attenuator (VOA) Using Single AOD -- Design Problem 7.8: High-Dynamic-Range Fiber-Optic Variable Optical Attenuator (VOA) Using an AOD -- Design Problem 7.9: High-Dynamic-Range Fiber-Optic Variable Optical Attenuator (VOA) Using AODs -- Design Problem 7.10: Bulk AOTF-Based Multi-Wavelength Variable Optical Attenuator (MVOA) -- Design Problem 7.11: Analog RF Transversal Filter Design Using AOTF -- Problems -- Additional Reading -- 8 Photonic Systems Using Liquid Crystal and Liquid Devices -- Design Problem 8.1: Liquid Crystal Analog Fiber-Optic Variable Optical Attenuator (VOA) -- Design Problem 8.2: Liquid-Crystal-Based Polarization Dependent-Loss (PDL) Compensator -- Design Problem 8.3: Liquid Crystal Deflector Fiber-Optic VOA -- Design Problem 8.4: Wavelength-Tunable Fiber-Optic VOA Using Liquid Crystal Controls -- Design Problem 8.5: Multi-Wavelength Wavelength Fiber-Optic VOA Using Liquid Crystal Controls -- Design Problem 8.6: Liquid Crystal Freespace 1 × 2 Switch Using Cube PBS -- Design Problem 8.7: Higher-Performance LC Freespace 1 × 2 Switch Using Cube PBS -- Design Problem 8.8: Low-Noise LC 1-Bit Freespace TDU Using PBSs -- Design Problem 8.9: SMF Optical TDU Using LC Polarization Control -- Design Problem 8.10: 2 × 2 Fiber-Optic Switch Using LC Devices and Cube PBSs -- Design Problem 8.11: Fast Reset-Speed Variable Focal-Length Lens Using LCs -- Design Problem 8.12: Zero Propagation-Loss Variable-Link Distance Optical Wireless Communications -- Design Problem 8.13: Fast 3D Optical Sensing and Imaging -- Design Problem 8.14: Fast 1D Optical Sensing and Imaging Using Multiple Wavelengths…”

“…Make your TiVO, UltimateTV, XBox or GameCube do your bidding. We show you how to use these PCs in sheep's clothing to be king of your domain (or at least the area immediately surrounding your recliner). …”

Tabla de Contenidos: “…About the Editors vii -- Faisel Tubbal, Ladislau Matekovits and Raad Raad -- Antenna Designs for 5G/IoT and Space Applications Sining Liu, Panagiotis Ioannis Theoharis, Raad Raad, Faisel Tubbal, Angelos Theoharis, Saeid Iranmanesh, Suhila Abulgasem, Muhammad Usman Ali Khan and Ladislau Matekovits -- A Survey on CubeSat Missions and Their Antenna Designs Madiha Farasat, Dushmantha N. …”

Tabla de Contenidos: “…Minifig Mania; The Minifig Turns 30; Minifig Facts; Minifig Controversy; The Minifig in Pop Culture; Red-Headed Step-Figs; CubeDudes: Cartoony Geometric Figures; Sig-Figs: LEGO You; Pimp Your Fig…”

Tabla de Contenidos: “…GROUP BY Extensions (SQL Server)1.8.6.2. CUBE (SQL Server); 1.8.6.3. GROUPING (SQL Server); 1.9. …”

Tabla de Contenidos: “…-- Unwrapping complex objects -- Marking seams -- Unwrap tool -- Stitch -- Average Island Scale -- Pack Islands -- Using Smart UV Project -- Custom Marking Seams -- Unwrapping Cubes -- Unwrapping Cylinders -- Using different maps to create a more realistic look…”

Tabla de Contenidos: “…SAP BW technical overview -- 2.1 SAP BW information model -- 2.2 Dataflow in SAP BW -- 2.3 Information access -- 2.4 Hierarchies -- 2.5 Extended star schema (InfoCubes) -- 2.6 Dataload into InfoCube -- 2.7 Aggregates -- 2.7.1 Aggregate example -- 2.7.2 Maintaining aggregates -- 2.8 Compression of requests -- 2.9 Operational data store (ODS) -- 2.10 The SAP BW functional components -- 2.11 SAP BW business content -- Chapter 3. …”

“…ABSTRACTING & INDEXINGPerspectives and research on play for children with disabilities is covered by the following services: Baidu Scholar EBSCO Discovery Service Google Scholar J-Gate Naviga (Softweco) Primo Central (ExLibris) ReadCube Semantic Scholar Summon (ProQuest) TDOne (TDNet) WorldCat (OCLC)…”

Tabla de Contenidos: “…Geometry -- 5.1 Comparing geometry and arithmetic -- 5.2 Euclidean geometry: a brief summary -- 5.3 Areas, lengths and angles -- 5.4 Regular and semi-regular tilings in the plane -- 5.5 Ruler and compasses constructions for regular polygons -- 5.6 Regular and semi-regular polyhedra -- 5.7 The Sine Rule and the Cosine Rule -- 5.8 Circular arcs and circular sectors -- 5.9 Convexity -- 5.10 Pythagoras' Theorem in three dimensions -- 5.11 Loci and coonic sections -- 5.12 Cubes in higher dimensions -- 5.13 Chapter 5: Comments and solutions -- VI. …”

Tabla de Contenidos: “…How to play prerecorded audioDesigning a low-pass digital filter; How to make an audio tone control; Chapter 8: Real-Time Embedded Systems; Introduction; Multithreaded programs using event flags; Multithreaded programs using mailboxes; Why ensuring mutual exclusion is important when accessing shared resources; Why we must use a mutex to access the GLCD; How to write a multithreaded Pong game; Debugging programs that use CMSIS-RTOS; Chapter 9: Embedded Toolchain; Introduction; Installing GNU ARM Eclipse; Programming the MCBSTM32F400 evaluation board; How to use the STM32CubeMX Framework (API)…”

Tabla de Contenidos: “…Extending mazes into hight dimensions : Understanding dimensions ; Introducing 3D mazes ; Adding a third dimension ; Displaying a 3D maze ; Representing four dimensions -- Bending and folding your mazes ; Cylinder mazes ; Möbius mazes ; Cube mazes ; Sphere mazes -- Summary of maze algorithms : Aldous-Broder ; Binary tree ; Eller's ; Growing tree ; Hunt-and-kill ; Kruskal's (randomized) ; Prim's (simplified) ; Prim's (true) ; Recursive backtracker ; Recursive division ; Sidewinder ; Wilson's -- Comparison of maze algorithms : Dead ends ; Longest path ; Twistiness ; Directness ; Intersections…”

Tabla de Contenidos: “…Emergency ResponsesClothing Store; Chess Games; Children at Starbucks; Rubik's Cube; Five Laws of Partitions; First Law: Partitions Must Be True Partitions; Second Law: Partition Definitions Must Be Appropriate; Third Law: Partition Subset Numbers Must Be Appropriate; Fourth Law: Partition Subset Sizes Must Be Roughly Equal; Fifth Law: Subset Interactions Must Be Minimal and Well Defined; Simplification; Iteration; Summary; Chapter 3: Mathematics of Complexity; Looking at Complexity; Laws of Complexity; Homomorphisms; Controlling Complexity in Dice Systems; Adding Buckets; Partitioning…”

Tabla de Contenidos: “…. -- 14.1 Cultural Fest. -- 14.2 Recognition Cubes. -- 14.3 Rounds of Appreciation. -- Conclusion. -- Appendix: Feelings Vocabulary. -- Resources. -- References. -- About the Authors…”

Tabla de Contenidos: “…Chapter 6: Data Aggregation and SamplingBasic aggregation - GROUP BY; Advanced aggregation - GROUPING SETS; Advanced aggregation - ROLLUP and CUBE; Aggregation condition - HAVING; Analytic functions; Sampling; Summary; Chapter 7: Performance Considerations; Performance utilities; The EXPLAIN statement; The ANALYZE statement; Design optimization; Partition tables; Bucket tables; Index; Data file optimization; File format; Compression; Storage optimization; Job and query optimization; Local mode; JVM reuse; Parallel execution; Join optimization; Common join; Map join; Bucket map join…”

Tabla de Contenidos: “…It Depends on the Context / Scott Charney, Microsoft -- Managing the Intensifying Connectivity of the IoT Era / Brian Talbert, Alaska Airlines -- Cyberspace : Making Some Sense of It All / Chris Inglis, Former NSA Deputy Director -- Authentication, Data Integrity, Nonrepudiation, Availability, and Confidentiality : The Five Pillars of Security / Mike McConnell, Former Director of National Intelligence -- Authentication and Models of Trust / Shannon Lietz, Intuit -- Patching : A Growing Challenge and a Needed Discipline / Chris Richter, Former VP of Global Security Services, CenturyLink -- Conquer or Be Conquered / Renee Tarun, Fortinet -- Fill the Skills Gap with an Environment of Continual Training / Chris McDaniels, CT Cubed, Inc. -- Employee Training is Key for Cybersecurity / Mo Katibeh, AT&T -- Training is a Mindset / Dave Rankin, Verisign -- Cryptography : The Backbone of Cybersecurity / Taher Elgamal, Salesforce -- Cryptography : The Good, the Bad, and the Future / Dan Boneh, Stanford -- Managing Access in Challenging Environments / Erik Devine, Riverside Health -- A Systematic Approach to Access Control / George Do, Equinix -- Successful Segmentation Isn't Separation : It's Collaboration / Colin Anderson, Levi Strauss & Co. -- Why We Need to Segment Networks / Hussein Syed, RWJBarnabas Health -- Visibility : Identifying Pathogens, Risk Factors, and Symptoms of Cyberattacks / Michael Chertoff, Former Secretary, Department of Homeland Security -- 20/20 Insight : Redefining Visibility to Stop Modern Cybercrime Syndicates / Tim Crothers, Target -- The Challenge of Visibility / Daniel Hooper, PIMCO -- In and Out of the Shadows : The Visibility That Inspection Enables is Not Confined to Technology Alone / Ed Amoroso, TAG Cyber -- The Fundamental Importance of Inspection / Michael Johnson, Capital One -- Preparation, Response, and Recovery / Thad Allen, Booz Allen Hamilton -- Cyber Event Recovery / Simon Lambe, Royal Mail -- Shift Your Mindset to Manage Complexity / Michael Daniel, Cyber Threat Alliance -- Seven Steps to Reducing Complexity / Jay Gonzales, Samsung -- Don't Panic! …”