Liang Wang

This book comprehensively covers many aspects of green mine, including the basic situation of green mines, mine facilities, extraction management, ecological environment, scientific and technological innovation, standardized management, environmental protection inspectors, and special tools in response to the needs of green mine construction, assessment, and management. It is highly informative with valuable techniques and tools providing insights both for scholars and practitioners working in green mine field.

Although deep learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system. Many researchers argue that one of the major reasons accounting for the performance gap is that deep learning models and the human cognitive system process visual information in very different ways. To mimic the performance gap, since 2014, there has been a trend to model various cognitive mechanisms from cognitive neuroscience, e.g., attention, memory, reasoning, and decision, based on deep learning models. This book unifies these new kinds of deep learning models and calls them deep cognitive networks, which model various human cognitive mechanisms based on deep learning models. As a result, various cognitive functions are implemented, e.g., selective extraction, knowledge reuse, and problem solving, for more effective information processing. This book first summarizes existing evidence of human cognitive mechanism modeling from cognitive psychology and proposes a general framework of deep cognitive networks that jointly considers multiple cognitive mechanisms. Then, it analyzes related works and focuses primarily but not exclusively, on the taxonomy of four key cognitive mechanisms (i.e., attention, memory, reasoning, and decision) surrounding deep cognitive networks. Finally, this book studies two representative cases of applying deep cognitive networks to the task of image-text matching and discusses important future directions.

This book comprehensively covers many aspects of green mine, including the basic situation of green mines, mine facilities, extraction management, ecological environment, scientific and technological innovation, standardized management, environmental protection inspectors, and special tools in response to the needs of green mine construction, assessment, and management. It is highly informative with valuable techniques and tools providing insights both for scholars and practitioners working in green mine field.

This book focuses on green mine evaluation. It includes green mine evaluation methods, evaluation content, evaluation indicators, etc. The "Green Mine Evaluation Index" has been issued by the Ministry of Natural Resources of China. In order to promote mining enterprises, green mine consulting service agencies, third-party evaluation agencies and mining administration personnel to better understand and practice the provisions of green mine evaluation indicators, the authors wrote this "Interpretation of Green Mine Evaluation Index". The content of this book specifically includes introduction, prerequisites for green mine selection, score sheet of green mine construction, related knowledge, as well as introduction of specific green mine evaluation items, including mining area environment, resource development methods, comprehensive utilization of ore resources, energy saving and emission reduction, technological innovation and smart mines, corporate management and corporate image, etc. The relevant concepts, relevant laws and policies, implementation measures, inspection points, and materials that enterprises should provide, have been vividly expounded based on the actual situation and specific cases of green mine construction. This book is useful as a reference for managers, engineering and technical personnels, teachers and students from mining enterprises, government departments, consulting services and evaluation agencies, colleges and secondary professional schools.

Two typical hybrid laser surface modification processes, i.e. electro/magnetic field aided laser process and supersonic laser deposition technology, are introduced in the book, to solve the common problems in quality control and low efficiency of the laser-only surface modification technology, high contamination and high consumption of the traditional surface modification technology. This book focuses on the principle, characteristics, special equipment, process and industrial applications of the hybrid laser surface modification processes based on the recent research results of the author’s group, and provides theoretical guidance and engineering reference for the researchers and engineers engaging in the field of surface engineering and manufacturing.

This book focuses on green mine evaluation. It includes green mine evaluation methods, evaluation content, evaluation indicators, etc. The "Green Mine Evaluation Index" has been issued by the Ministry of Natural Resources of China. In order to promote mining enterprises, green mine consulting service agencies, third-party evaluation agencies and mining administration personnel to better understand and practice the provisions of green mine evaluation indicators, the authors wrote this "Interpretation of Green Mine Evaluation Index". The content of this book specifically includes introduction, prerequisites for green mine selection, score sheet of green mine construction, related knowledge, as well as introduction of specific green mine evaluation items, including mining area environment, resource development methods, comprehensive utilization of ore resources, energy saving and emission reduction, technological innovation and smart mines, corporate management and corporate image, etc. The relevant concepts, relevant laws and policies, implementation measures, inspection points, and materials that enterprises should provide, have been vividly expounded based on the actual situation and specific cases of green mine construction. This book is useful as a reference for managers, engineering and technical personnels, teachers and students from mining enterprises, government departments, consulting services and evaluation agencies, colleges and secondary professional schools.

Two typical hybrid laser surface modification processes, i.e. electro/magnetic field aided laser process and supersonic laser deposition technology, are introduced in the book, to solve the common problems in quality control and low efficiency of the laser-only surface modification technology, high contamination and high consumption of the traditional surface modification technology. This book focuses on the principle, characteristics, special equipment, process and industrial applications of the hybrid laser surface modification processes based on the recent research results of the author’s group, and provides theoretical guidance and engineering reference for the researchers and engineers engaging in the field of surface engineering and manufacturing.

"Ta książka jest o blokach i siatkach miejskich, jednym z podstawowych sposob w aranżowania i porządkowania przestrzeni miast i innych osiedli miejskich. Jego celem jest prześledzenie linii tej formy budowania miasta przez kilka kulturowych podzial w, kt re, że tak powiem, istnieją od wielu stuleci. Ustalenia są ściśle prostoliniowe w wielu okolicznościach, choc z pewnością nie we wszystkich, co jasno wynika z kolejnych części. W większości przypadk w bloki miejskie są definiowane przez budynki lub skladają się z budynk w, r wnież tak, jak opisano to w kolejnych rozdzialach, choc nie zawsze. Zainteresowanie tym tematem pojawilo się tutaj z kilku źr del".- Fragment wstępu do książki"W miarę rozwoju urbanizacji, książka ta dostarcza świeżego spojrzenia na bloki miejskie i sieci w odniesieniu do ich historycznego rozwoju i wymagań technicznych. Dostarcza r wnież wgląd w ich zachowanie w odniesieniu do kilku ważnych czynnik w, w tym kontekstu i warunk w środowiskowych".- Ali Malkawi, profesor technologii architektonicznej i dyrektor zalożycielski Harvard Center for Green Buildings and Cities.

This book presents two collaborative prediction approaches based on contextual representation and hierarchical representation, and their applications including context-aware recommendation, latent collaborative retrieval and click-through rate prediction. The proposed techniques offer significant improvements over current methods, the key determinants being the incorporated contextual representation and hierarchical representation. To provide a background to the core ideas presented, it offers an overview of contextual modeling and the theory of contextual representation and hierarchical representation, which are constructed for the joint interaction of entities and contextual information. The book offers a rich blend of theory and practice, making it a valuable resource for students, researchers and practitioners who need to construct systems of information retrieval, data mining and recommendation systems with contextual information.

This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future.

This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future.

This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language. What You Will LearnOptimize core operations based on N-dimensional arraysDesign and implement an industry-level algorithmic differentiation moduleImplement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiationDesign and optimize a computation graph module, and understand the benefits it brings to the numerical computing libraryAccommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computationUse the Zoo system for efficient scripting, code sharing, service deployment, and compositionDesign and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance Who This Book Is For Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.

This book is about the harmonious synthesis of functional programming and numerical computation. It shows how the expressiveness of OCaml allows for fast and safe development of data science applications. Step by step, the authors build up to use cases drawn from many areas of Data Science, Machine Learning, and AI, and then delve into how to deploy at scale, using parallel, distributed, and accelerated frameworks to gain all the advantages of cloud computing environments.To this end, the book is divided into three parts, each focusing on a different area. Part I begins by introducing how basic numerical techniques are performed in OCaml, including classical mathematical topics (interpolation and quadrature), statistics, and linear algebra. It moves on from using only scalar values to multi-dimensional arrays, introducing the tensor and Ndarray, core data types in any numerical computing system. It concludes with two more classical numerical computing topics, the solution ofOrdinary Differential Equations (ODEs) and Signal Processing, as well as introducing the visualization module we use throughout this book. Part II is dedicated to advanced optimization techniques that are core to most current popular data science fields. We do not focus only on applications but also on the basic building blocks, starting with Algorithmic Differentiation, the most crucial building block that in turn enables Deep Neural Networks. We follow this with chapters on Optimization and Regression, also used in building Deep Neural Networks. We then introduce Deep Neural Networks as well as topic modelling in Natural Language Processing (NLP), two advanced and currently very active fields in both industry and academia. Part III collects a range of case studies demonstrating how you can build a complete numerical application quickly from scratch using Owl. The cases presented include computer vision and recommender systems. This book aims at anyone with a basic knowledge of functional programming and a desire to explore the world of scientific computing, whether to generally explore the field in the round, to build applications for particular topics, or to deep-dive into how numerical systems are constructed. It does not assume strict ordering in reading – readers can simply jump to the topic that interests them most.