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Small Numbers, Big Ideas: Essential Concepts for Teaching Early Maths
by Jo AustenHow do young children learn to count? What is number sense? Why is zero an even number?The maths might be easy, but teaching it well definitely isn't.Small Numbers, Big Ideas explains the most important concepts for teaching early maths in a straight-to-the-point format. Supported by vibrant illustrations and diagrams, it covers what young children need to understand, why these ideas are so important, and ways we can teach them effectively.
Small Populations, Large Effects
by Panel on Statistical Methods for Measuring the Group Quarters Population in the American Community SurveyIn the early 1990s, the Census Bureau proposed a program of continuous measurement as a possible alternative to the gathering of detailed social, economic, and housing data from a sample of the U. S. population as part of the decennial census. The American Community Survey (ACS) became a reality in 2005, and has included group quarters (GQ)-such places as correctional facilities for adults, student housing, nursing facilities, inpatient hospice facilities, and military barracks-since 2006, primarily to more closely replicate the design and data products of the census long-form sample. The decision to include group quarters in the ACS enables the Census Bureau to provide a comprehensive benchmark of the total U. S. population (not just those living in households). However, the fact that the ACS must rely on a sample of what is a small and very diverse population, combined with limited funding available for survey operations, makes the ACS GQ sampling, data collection, weighting, and estimation procedures more complex and the estimates more susceptible to problems stemming from these limitations. The concerns are magnified in small areas, particularly in terms of detrimental effects on the total population estimates produced for small areas. Small Populations, Large Effects provides an in-depth review of the statistical methodology for measuring the GQ population in the ACS. This report addresses difficulties associated with measuring the GQ population and the rationale for including GQs in the ACS. Considering user needs for ACS data and of operational feasibility and compatibility with the treatment of the household population in the ACS, the report recommends alternatives to the survey design and other methodological features that can make the ACS more useful for users of small-area data.
Small Unmanned Aircraft: Theory and Practice
by Randal W. Beard Timothy W. McLainAutonomous unmanned air vehicles (UAVs) are critical to current and future military, civil, and commercial operations. Despite their importance, no previous textbook has accessibly introduced UAVs to students in the engineering, computer, and science disciplines--until now. Small Unmanned Aircraft provides a concise but comprehensive description of the key concepts and technologies underlying the dynamics, control, and guidance of fixed-wing unmanned aircraft, and enables all students with an introductory-level background in controls or robotics to enter this exciting and important area. The authors explore the essential underlying physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning. The textbook leads the student from rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through obstacles. To facilitate understanding, the authors have replaced traditional homework assignments with a simulation project using the MATLAB/Simulink environment. Students begin by modeling rigid-body dynamics, then add aerodynamics and sensor models. They develop low-level autopilot code, extended Kalman filters for state estimation, path-following routines, and high-level path-planning algorithms. The final chapter of the book focuses on UAV guidance using machine vision. Designed for advanced undergraduate or graduate students in engineering or the sciences, this book offers a bridge to the aerodynamics and control of UAV flight.
Small-N und Big-N-Data in der Sportwissenschaft: Einführung in Forschungsdesign und Methoden (essentials)
by Jochen Mayerl Michael Fröhlich Andrea Pieter Wolfgang KemmlerIm Rahmen dieses essentials legen die Autoren das Augenmerk auf die Besonderheiten des Umgangs mit kleinen und großen Datenmengen in der Sportwissenschaft. Kurz und überblickartig wird dargestellt, welche Designs im Rahmen von Single-Case-Studies zum Einsatz gelangen können und wie solche Studien ausgewertet werden. Weiterhin wird erläutert, wie man die beste wissenschaftliche Evidenz in die (medizinische) Praxis integriert und wie im Rahmen von Forschungsprojekten die erhobenen Daten gesichert und öffentlich zugänglich gemacht werden. Darüber hinaus wird dargestellt, was alles unter dem Begriff Big Data subsumiert wird und welche Möglichkeiten und Grenzen für die Wissenschaft mit Big Data verbunden sind.
Smart Agriculture Automation Using Advanced Technologies: Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT (Transactions on Computer Systems and Networks)
by Arindam Biswas T. P. Singh Amitava Choudhury Santanu Kumar GhoshThis book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers.
Smart Baseball: The Story Behind the Old Stats That Are Ruining the Game, the New Ones That Are Running It, and the Right Way to Think About Baseball
by Keith LawPredictably Irrational meets Moneyball in ESPN veteran writer and statistical analyst Keith Law’s iconoclastic look at the numbers game of baseball, proving why some of the most trusted stats are surprisingly wrong, explaining what numbers actually work, and exploring what the rise of Big Data means for the future of the sport.For decades, statistics such as batting average, saves recorded, and pitching won-lost records have been used to measure individual players’ and teams’ potential and success. But in the past fifteen years, a revolutionary new standard of measurement—sabermetrics—has been embraced by front offices in Major League Baseball and among fantasy baseball enthusiasts. But while sabermetrics is recognized as being smarter and more accurate, traditionalists, including journalists, fans, and managers, stubbornly believe that the "old" way—a combination of outdated numbers and "gut" instinct—is still the best way. Baseball, they argue, should be run by people, not by numbers.?In this informative and provocative book, teh renowned ESPN analyst and senior baseball writer demolishes a century’s worth of accepted wisdom, making the definitive case against the long-established view. Armed with concrete examples from different eras of baseball history, logic, a little math, and lively commentary, he shows how the allegiance to these numbers—dating back to the beginning of the professional game—is firmly rooted not in accuracy or success, but in baseball’s irrational adherence to tradition. While Law gores sacred cows, from clutch performers to RBIs to the infamous save rule, he also demystifies sabermetrics, explaining what these "new" numbers really are and why they’re vital. He also considers the game’s future, examining how teams are using Data—from PhDs to sophisticated statistical databases—to build future rosters; changes that will transform baseball and all of professional sports.
Smart Battery Management for Enhanced Safety (Key Technologies on New Energy Vehicles)
by Zhongbao WeiThis book consolidates studies in the rapidly and foreseeably growing field of battery management. The primary focus is to overview the management of batteries (Li-ion batteries and some cases of flow batteries) with the fusion of mechanism and AI-based approaches. The book can be categorized into three groups, i.e., (i) mechanism and AI-based battery modeling and parameterization, (ii) AI-based diagnostic, early warning, and active safety control, and (iii) emerging techniques of smart battery and smart management, combining the emerging areas of embedded sensing and reconfigurable batteries. It is well recognized that the battery safety and management are the kernel of energy storage, renewable utilization, and low-carbon society, which have been highly popular in recent years. The exploration of AI techniques for advanced battery management has been seldom discussed systematically before. Moreover, the combination of AI and mechanism approaches can remarkably enhance the battery management, which however has never been focused on in previous books. Therefore, this book can add new knowledge to the paradigm and attract the attention of academics, scientists, engineers, and practitioners. It is a reference book for researchers and engineers in related fields. The step-by-step guidance, comprehensive introduction, and case studies make it accessible to audiences of different levels, from graduates to experienced engineers.
Smart Big Data in Digital Agriculture Applications: Acquisition, Advanced Analytics, and Plant Physiology-informed Artificial Intelligence (Agriculture Automation and Control)
by YangQuan Chen Haoyu NiuIn the dynamic realm of digital agriculture, the integration of big data acquisition platforms has sparked both curiosity and enthusiasm among researchers and agricultural practitioners. This book embarks on a journey to explore the intersection of artificial intelligence and agriculture, focusing on small-unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), edge-AI sensors and the profound impact they have on digital agriculture, particularly in the context of heterogeneous crops, such as walnuts, pomegranates, cotton, etc. For example, lightweight sensors mounted on UAVs, including multispectral and thermal infrared cameras, serve as invaluable tools for capturing high-resolution images. Their enhanced temporal and spatial resolutions, coupled with cost effectiveness and near-real-time data acquisition, position UAVs as an optimal platform for mapping and monitoring crop variability in vast expanses. This combination of data acquisition platforms and advanced analytics generates substantial datasets, necessitating a deep understanding of fractional-order thinking, which is imperative due to the inherent “complexity” and consequent variability within the agricultural process. Much optimism is vested in the field of artificial intelligence, such as machine learning (ML) and computer vision (CV), where the efficient utilization of big data to make it “smart” is of paramount importance in agricultural research. Central to this learning process lies the intricate relationship between plant physiology and optimization methods. The key to the learning process is the plant physiology and optimization method. Crafting an efficient optimization method raises three pivotal questions: 1.) What represents the best approach to optimization? 2.) How can we achieve a more optimal optimization? 3.) Is it possible to demand “more optimal machine learning,” exemplified by deep learning, while minimizing the need for extensive labeled data for digital agriculture? This book details the foundations of the plant physiology-informed machine learning (PPIML) and the principle of tail matching (POTM) framework. It is the 9th title of the "Agriculture Automation and Control" book series published by Springer.
Smart Business and Technologies: Proceeding of the International Conference on Smart Business and Technologies (ICSBT’24) (Lecture Notes in Networks and Systems #1330)
by Mohamed Lazaar Souad Najoua Lagmiri Fouad Mohammed AmineThis book covers the theory, applications, and viewpoints on the most recent and upcoming advancements in the fields of complex processes, decision-making, control, and systems and networks. In the well-known lecture notes in networks and systems series, "Smart Business and Technologies" is the most recent entry. The cutting-edge research presented at the International Conference on Smart Business and technology (ICSBT'24) is compiled in this volume, which highlights creative solutions, new developments, and useful applications in the domains of advanced technology and smart business practices. For scholars, professionals, and students hoping to remain on the cutting edge of business innovation and technology breakthroughs, it is a vital resource. Numerous topics, including cyber-physical systems, artificial intelligence, data analytics, IoT-enabled solutions, autonomous systems, control systems, sustainable business models, digital transformation strategies, blockchain applications, smart supply chain management, customer experience optimization, predictive analytics, energy systems, robotics, smart cities, manufacturing, and more, are covered in the series' proceedings and edited volumes on systems and networks. These subjects provide insights into the methods and paradigms that propel advancement in smart business and technology sectors. They are enmeshed in interdisciplinary fields such as applied sciences, engineering, computer science, business, economics, and social sciences.
Smart Card Research and Advanced Applications: 22nd International Conference, CARDIS 2023, Amsterdam, The Netherlands, November 14–16, 2023, Revised Selected Papers (Lecture Notes in Computer Science #14530)
by Thomas Roche Shivam BhasinThis book constitutes the proceedings of the 22nd International Conference on Smart Card Research and Advanced Applications, CARDIS 2023, held in Amsterdam, The Netherlands, during November 14–16, 2023.The 13 full papers presented in this volume were carefully reviewed and selected from 28 submissions. They were organized in topical sections as follows: fault attacks; side-channel analysis; smartcards & efficient Implementations; and side-channel & neural networks.
Smart Cities: Big Data Prediction Methods and Applications
by Hui LiuSmart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques. This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved using big data prediction: grid energy, road traffic networks and environmental health in smart cities. The big data prediction methods proposed in this book are highly significant in terms of the planning, construction, management, control and development of green and smart cities. Including numerous case studies to explain each method and model, this easy-to-understand book appeals to scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing.
Smart City in India: Urban Laboratory, Paradigm or Trajectory?
by Binti Singh Manoj ParmarThis book is a critical reflection on the Smart City Mission in India. Drawing on ethnographic data from across Indian cities, this volume assesses the transformative possibilities and limitations of the program. It examines the ten core infrastructural elements that make up a city, including water, electricity, waste, mobility, housing, environment, health, and education, and lays down the basic tenets of urban policy in India. The volume underlines the need to recognize liminal spaces and the plans to make the ‘smart city’ an inclusive one. The authors also look at maintaining a link between the older heritage of a city and the emerging urban space. This volume will be of great interest to planners, urbanists, and policymakers, as well as scholars and researchers of urban studies and planning, architecture, and sociology and social anthropology.
Smart Computing Applications in Crowdfunding
by Tshilidzi Marwala Bo XingThe book focuses on smart computing for crowdfunding usage, looking at the crowdfunding landscape, e.g., reward-, donation-, equity-, P2P-based and the crowdfunding ecosystem, e.g., regulator, asker, backer, investor, and operator. The increased complexity of fund raising scenario, driven by the broad economic environment as well as the need for using alternative funding sources, has sparked research in smart computing techniques. Covering a wide range of detailed topics, the authors of this book offer an outstanding overview of the current state of the art; providing deep insights into smart computing methods, tools, and their applications in crowdfunding; exploring the importance of smart analysis, prediction, and decision-making within the fintech industry. This book is intended to be an authoritative and valuable resource for professional practitioners and researchers alike, as well as finance engineering, and computer science students who are interested in crowdfunding and other emerging fintech topics.
Smart Computing with Open Source Platforms
by Nilanjan Dey Amartya MukherjeeFocuses on the concept of open source prototyping and product development and designing sensor networks and covers IoT base applications This book will serves as a single source of introductory material and reference for programming smart computing and Internet of Things (IoT) devices using Arduino with the use of Python It covers number of comprehensive DIY experiments through which the reader can design various intelligent systems
Smart Data Intelligence: Proceedings of ICSMDI 2022 (Algorithms for Intelligent Systems)
by Selwyn Piramuthu Zubair A. Baig R. Asokan Diego P. RuizThis book presents high-quality research papers presented at 2nd International Conference on Smart Data Intelligence (ICSMDI 2022) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during April 2022. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, healthcare, information, and communication applications.
Smart Data Intelligence: Proceedings of ICSMDI 2024 (Algorithms for Intelligent Systems)
by Selwyn Piramuthu R. Asokan Diego P. RuizThis book presents high-quality research papers presented at 4th International Conference on Smart Data Intelligence (ICSMDI 2024) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during February 2024. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, health care, information, and communication applications.
Smart Data statt Big Data: Wie Sie mit Excel-Analysen das Beste aus Ihren Kundendaten herausholen
by John W. Foreman Jutta SchmidtWelche Produkte kann ich meinen Kunden aufgrund ihrer vorherigen Käufe noch anbieten? Wie kann ich meine Absätze vorhersagen oder Kosten optimieren? Wie kann ich Kundenmails automatisch analysieren? Wenn Sie sich diese oder ähnliche Fragen stellen, finden Sie in diesem Buch die passenden Antworten. Es richtet sich an alle, die eine gewisse Menge Daten haben und ahnen, dass darin wertvolle Erkenntnisse schlummern, die aber nicht wissen, wie sie sie herauskitzeln können. Data-Science-Spezialist John Foreman zeigt Ihnen, wie auch kleinere Unternehmen von Big-Data-Ansätzen profitieren und dass Sie dafür nicht mehr benötigen als grundlegende Mathekenntnisse und ein Tabellenkalkulationsprogramm wie Microsoft Excel oder LibreOffice Calc. Nach ein paar nützlichen allgemeinen Hinweisen zu Excel lernen Sie an realistischen Businessbeispielen, mit welchen Verfahren Sie Kunden clustern, Dokumente klassifizieren, Investitionen und Gewinne optimieren, Prognosen über zukünftige Abverkäufe treffen und wichtige Ausreißer identifizieren. Alle Verfahren sind genauso verständlich wie unterhaltsam erklärt und damit Sie sie direkt selbst ausprobieren können, finden Sie alle Beispieldaten zum Download auf der Website des Verlags. Wenn Sie im Anschluss daran noch tiefer in die Datenanalyse einsteigen möchten, zeigt Ihnen ein kurzer Ausblick auf die Programmiersprache R, was noch alles möglich ist. So sind Sie optimal gerüstet und holen in Zukunft das Beste aus Ihren Daten heraus!
Smart Digital Service Ecosystems: A Research Roadmap from Service Computing and Engineering Perspectives (SpringerBriefs in Service Science)
by Youakim BadrThis book provides a holistic overview of the major advances that have been made in the context of Service Science with a focus on IT-enabled services. To address challenges in collaborative, social-centric, ad-hoc, dynamic and open environments, the book studies IT-enabled service systems from two distinct but complementary research perspectives: service engineering and service computing. From a service engineering view, the book shows how to apply a systemic approach to tackle social problems from holistic and multi-disciplinary perspectives by focusing on service systems and developing a service design framework, including socio-technical aspects, the service reference model, data-driven collaboration processes, the incremental design method, requirement propagation, and system adaptability with feedback loops. From a service computing view, the book introduces a service-oriented aided infrastructure to support IT-enabled service systems in ICT-facilitated environments and provide access to tangible and intangible resources in a trustworthy environment. The book offers a valuable companion and comprehensive reference guide for undergraduate and graduate students who want to learn about current concepts for designing and implementing service systems; and for researchers who want to identify future directions in build smart digital service ecosystems, integrating Internet of Things (IoT) and Artificial Intelligence (AI) and cyber-security. The book also appeals to developers who need to implement advanced services and want to capitalize on corresponding business models, customer-driven interaction, and scalable architectures.
Smart Economy in Smart African Cities: Sustainable, Inclusive, Resilient and Prosperous (Advances in 21st Century Human Settlements)
by Banji Oyelaran-Oyeyinka Gora MboupThis book highlights the use of information and communication technology (ICT) infrastructures in order to develop smart cities and produce smart economies in Africa. It discusses a robust set of concepts, including smart planning, smart infrastructure development, smart economic development, smart environmental sustainability, smart social development, resilience, and smart peace and security in several African cities. By drawing on the accumulated knowledge on various conditions that make cities smart, green, livable and healthy, it helps in the planning, design and management of African urbanization. In turn, it fosters the development of e-commerce, e-education, e-governance, etc. The rapid development of ICT infrastructures facilitates the creation of smart economies in digitally served cities and towns through smart urban planning, smart infrastructures, smart land tenure and smart urban policies. In the long term, this can reduce emissions of CO2, promote the creation of low carbon cities, reduce land degradation and promote biodiversity.
Smart Grid and Cyber Security Technologies: 8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, Suzhou, China, September 13–15, 2024, Proceedings, Part II (Communications in Computer and Information Science #2217)
by Xin Sun Xue Li Dajun Du Xinchun Jia Wanqing Zhao Zhiru CaoThe five-volume set constitutes the thoroughly refereed proceedings of the 8th International Conference on Life System Modeling and Simulation, LSMS 2024, and of the 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, which were held during September 13-15, in Suzhou, China. The 34 papers presented were carefully reviewed and selected from over 496 submissions. The LSMS and ICSEE international conference series aim to bring together international researchers and practitioners in the fields of advanced methods for life system modeling and simulation, as well as advanced intelligent computing theory, methodologies, and engineering applications in achieving net zero across all sectors to tackle the global climate change challenge.
Smart Healthcare and Machine Learning (Advanced Technologies and Societal Change)
by Alejandro C. Frery Mousmi Ajay Chaurasia Prasanalakshmi BalajiThe book explores the convergence of healthcare and cutting-edge technology, making it a captivating subject for readers interested in future research. Smart healthcare with machine learning techniques offers a transformative paradigm that utilizes the power of new technology, data analytics, and interconnected devices to enhance the quality, efficiency, and accessibility of healthcare services. This involves leveraging Internet of Things (IoT) devices, wearable technology, and machine learning algorithms to monitor patient health, predict medical conditions, and offer personalized treatment recommendations. This innovative combination not only enhances diagnostics and treatment but also addresses the research challenges of healthcare access and delivery in an increasingly connected world. By exploring the synergy between smart healthcare and machine learning, the book helps to understand how these technologies can collaborate to revolutionize patient care and healthcare delivery. This book is an outcome with applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach.
Smart Medical Imaging for Diagnosis and Treatment Planning
by Nilanjan Dey, Bitan Misra, and Sayan ChakrabortyThis book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning. In search for innovative and novel methods and techniques for health technologies and medical data processing, the book • Discusses applications of Artificial Intelligence, Data Science, Machine Learning, Deep Learning, the Internet of Things, Big Data, Cloud Computing;• Includes use of electronic patient records in healthcare, analysis of big data in medical diagnosis, reliability, and challenges of EPR and EHR in smart healthcare;• Explores evolving techniques for smart healthcare, its application in medical imaging and prediction in the fields of treatment planning;• Provides recent studies in AI-driven healthcare technologies and medical imaging to outline insight into smart healthcare technologies;• Discusses the role of big data in smart healthcare, computing techniques for healthcare for medical diagnosis and treatment planning;• Encompasses the ethical and legal challenges of using smart healthcare and medical data.This book serves as a valuable reference for researchers working on smart health technologies. Researchers of medical imaging, artificial intelligence, and data science along with healthcare domain will find it a great resource as well.
Smart Modeling for Engineering Systems: Proceedings Of The Conference 50 Years Of The Development Of Grid-characteristic Method (Smart Innovation, Systems and Technologies #133)
by Lakhmi C. Jain Margarita N. Favorskaya Alena V. Favorskaya Igor B. Petrov Sergey S. SimakovThis book highlights the work of several world-class researchers on smart modeling of complex systems. The contributions are grouped into the four main categories listed below. · Numerical schemes construction for the solution of partial differential equations. · Numerical methods in continuum media mechanics problems. · Mathematical modeling in aerodynamics, plasma physics, deformable body mechanics, and geological hydrocarbon exploration. · Mathematical modeling in medical applications. The book offers a valuable resource for theoreticians and application scientists and engineers, as well as postgraduate students, in the fields of computational methods, numerical experiments, parallel algorithms, deformable solid bodies, seismic stability, seismic prospecting, migration, elastic and acoustic wave investigation, gas dynamics, astrophysics, aerodynamics, fluid dynamics, turbulent flows, hypersonic flows, detonation waves, composite materials, fracture mechanics, melting of metals, mathematical economics, medicine, and biology.
Smart Multimedia: 4th International Conference, ICSM 2024, Los Angeles, California, USA, March 28–30, 2024, Revised Selected Papers (Lecture Notes in Computer Science #14957)
by Stefano Berretti Hossein AzariThis book constitutes the refereed post-proceedings of the 4th International Conference on Smart Multimedia, ICSM 2024, held in Los Angeles, California, USA, in March 28–30, 2024. The 9 full papers, 8 special papers, 4 industrial papers, 3 late breaking papers, and 3 short papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in the following topical sections: machine learning for multimedia; multimedia; special session on smart homes and cities - the future through smart technological innovations; multimedia processing; short and industrial papers; industrial trend; late breaking papers; special session: haptic and human machine interaction.
Smart Prisons
by Peiliang SunThis book aims to apply the new generation of information technology to the research and practice of prison management, promote the reform of prison security, fair law enforcement, educational correction and other management modes brought about by strengthening the police with science and technology, deepen the practice of administering prison according to law, and promote the modernization of prison governance system and governance capacity. This book is suitable for the personnel engaged in the management and informatization construction of prisons, drug rehabilitation centers, detention houses, and community correction institutions as professional book and is also suitable as the teaching, training, and reference book of criminal execution, prison management, community correction, judicial information technology, prison information technology, and other majors in the colledge of criminal justice.