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Advanced ASIC Chip Synthesis: Using Synopsys® Design Compiler® Physical Compiler® and PrimeTime®, Second Edition describes the advanced concepts and techniques used towards ASIC chip synthesis, physical synthesis, formal verification and static timing analysis, using the Synopsys suite of tools. In addition, the entire ASIC design flow methodology targeted for VDSM (Very-Deep-Sub-Micron) technologies is covered in detail. The emphasis of this book is on real-time application of Synopsys tools, used to combat various problems seen at VDSM geometries. Readers will be exposed to an effective design methodology for handling complex, sub-micron ASIC designs. Significance is placed on HDL coding styles, synthesis and optimization, dynamic simulation, formal verification, DFT scan insertion, links to layout, physical synthesis, and static timing analysis. At each step, problems related to each phase of the design flow are identified, with solutions and work-around described in detail. In addition, crucial issues related to layout, which includes clock tree synthesis and back-end integration (links to layout) are also discussed at length. Furthermore, the book contains in-depth discussions on the basis of Synopsys technology libraries and HDL coding styles, targeted towards optimal synthesis solution. Target audiences for this book are practicing ASIC design engineers and masters level students undertaking advanced VLSI courses on ASIC chip design and DFT techniques.

Application-specific integrated circuits --- Logic design --- Compilers (Computer programs) --- Structure logique --- Compilateurs (Logiciels) --- Computer-aided design. --- Data processing. --- Informatique --- Application specific integrated circuits. --- Compilers (Computer programs). --- Computer aided design. --- Computer engineering. --- Engineering. --- Systems engineering. --- Application specific integrated circuits --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Computer-aided design --- Data processing --- Computer-aided engineering. --- Electrical engineering. --- Electronic circuits. --- Circuits and Systems. --- Electrical Engineering. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Computer assisted logic design --- Compiling programs (Computer programs) --- Computer programs --- Programming software --- Systems software --- ASICs (Integrated circuits) --- Integrated circuits --- CAE --- Engineering --- Electric engineering --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics

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Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application. You will: Discover image-processing algorithms and their applications using Python Explore image processing using the OpenCV library Use TensorFlow, scikit-learn, NumPy, and other libraries Work with machine learning and deep learning algorithms for image processing Apply image-processing techniques to five real-time projects.

Machine learning. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Artificial intelligence. --- Computer science. --- Open source software. --- Computer programming. --- Python (Computer program language). --- Artificial Intelligence. --- Programming Languages, Compilers, Interpreters. --- Open Source. --- Python. --- Scripting languages (Computer science) --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Free software (Open source software) --- Open code software --- Opensource software --- Computer software --- Informatics --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Programming --- Programming languages (Electronic computers). --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial

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This is the first book in the 'Institutions and Development in South Asia' series. It studies the historical institutionalism in the information regime in India by presenting an alternative narrative about the evolution of the RTI Act.

Freedom of information --- Organizational change. --- India. --- Change, Organizational --- Organization development --- Organizational development --- Organizational innovation --- Management --- Organization --- Manpower planning

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If you're looking to increase your knowledge of one of the core modules of SAP S/4HANA, this is the book for you. Settle in and let a long-time SAP professional guide you through the SAP Production Planning and Execution module. Author Himanshu Goel begins by explaining the nuts and bolts of production planning in SAP S/4HANA, before delving into various manufacturing methodologies such as discrete manufacturing, repetitive manufacturing, and process industry. He'll then walk you through setting up master data such as the material master, bill of material, work center, routing, and production version. You'll then learn, step-by-step, how SAP PP processes are established from production order-based manufacturing to process order-based manufacturing. This book explains the complex concepts of production planning and execution in a straightforward manner and makes for an invaluable guide for SAP PP users from production planners to shop floor managers and even junior/mid-level SAP PP consultants. After reading this book, you'll fully understand the concepts of SAP PP, and have insight into the latest developments in S/4HANA.

Production planning --- Data processing. --- SAP HANA (Electronic resource)

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