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Murach's Python Programming
Par Joel Murach, Michael Urban. 2021
If you want to learn how to program but don't know where to start, this is the right book and…
the right language for you. From the first page, our self-paced approach will help you build competence and confidence in your programming skills. And Python is the best language ever for learning how to program because of its simplicity and breadth…two features that are hard to find in a single language. But this isn't just a book for beginners! Our self-paced approach also works for experienced programmers, helping you learn Python faster and better than you've ever learned a language before. By the time you're through, you will have mastered the key Python skills that are needed on the job, including those for object-oriented, database, and GUI programming. To make all of this possible, section 1 presents an 8-chapter course that will get anyone off to a great start with Python. Section 2 builds on that base by presenting the other essential skills that every Python programmer should have. Section 3 shows you how to develop object-oriented programs, a critical skillset in today's world. And section 4 shows you how to apply all of the skills that you've already learned as you build database and GUI programs for the real world.Expert GeoServer: Build and secure advanced interfaces and interactive maps
Par Ben Mearns. 2018
A fast-paced guide to putting your GeoServer-based application into fast, user-friendly, and secure productionKey Features Resolve bottlenecks, optimize data stores,…
and cluster server resources Use identity management and authentication for a user-specific, secure web application Go beyond traditional web hosting to explore the full range of hosting options in the cloudBook DescriptionGeoServer is open source, server-side software written in Java that allows users to share and edit geospatial data. In this book, you'll start by learning how to develop a spatial analysis platform with web processing services. Then you'll see how to develop an algorithm by chaining together geospatial analysis processes, which you can share with anyone in the world. Next you'll delve into a very important technique to improve the speed of your map application—tile caching. Here, you'll understand how tile caching works, how to develop an effective tile cache-supported web service, and how to leverage tile caching in your OpenLayers web application.Further on, you'll explore important tweaks to produce a performant GeoServer-backed web mapping application. Moving on, you'll enable authentication on the frontend and backend to protect sensitive map data, and deliver sensitive data to your end user. Finally, you'll see how to put your web application into production in a secure and user-friendly way. You'll go beyond traditional web hosting to explore the full range of hosting options in the cloud, and maintain a reliable server instance.What you will learn Develop a WPS-processing service to allow web-based geospatial data processing Get to know important techniques to improve the speed of your web map application—tile caching, raster data optimization, and server clustering Find out which GeoServer settings resolve bottlenecks Develop an algorithm by chaining geospatial analysis processes together Put your application into production with hosting, monitoring, and automated backup and recovery Understand how to develop an effective tile cache-supported web service Master techniques that ensure resilient server deploymentWho this book is forThis book is for anyone who wants to learn about advanced interfaces, security, and troubleshooting techniques in GeoServer. A basic understanding of GeoServer is requiredGeometry for Programmers
Par Oleksandr Kaleniuk. 2024
Master the math behind CAD, game engines, GIS, and more! This hands-on book teaches you the geometry used to create…
simulations, 3D prints, and other models of the physical world.In Geometry for Programmers you will learn how to: Speak the language of applied geometry Compose geometric transformations economically Craft custom splines for efficient curves and surface generation Pick and implement the right geometric transformations Confidently use important algorithms that operate on triangle meshes, distance functions, and voxels Geometry for Programmers guides you through the math behind graphics and modeling tools. It&’s full of practical examples and clear explanations that make sense even if you don&’t have a background in advanced math. You&’ll learn how basic geometry can help you avoid code layering and repetition, and even how to drive down cloud hosting costs with more efficient runtimes. Cheerful language, charts, illustrations, equations, and Python code help make geometry instantly relevant to your daily work as a developer. About the Technology Geometry is at the heart of game engines, robotics, computer-aided design, GIS, and image processing. This book draws back what is for some a mathematical curtain, giving them insight and control over this central tool. You&’ll quickly see how a little geometry can help you design realistic simulations, translate the physical world into code, and even reduce your cloud services bill by improving the efficiency of graphics-intensive applications. About the Book Geometry for Programmers is both practical and entertaining. Fun illustrations and engaging examples show you how to apply geometry to real programming problems, like changing a scan into a CAD model or developing 3D printing contours from a parametric function. And don&’t worry if you aren&’t a math expert. There&’s no heavy theory, and you&’ll learn how to offload most equations to the SymPy computer algebra system. What&’s Inside Speak the language of applied geometry Compose geometric transformations economically Craft custom splines for efficient curves and surface generation Confidently use geometry algorithms About the Reader Examples are in Python, and all you need is high school–level math. About the Author Oleksandr Kaleniuk is the creator of Words and Buttons Online, a collection of interactive tutorials on math and programming. Table of Contents 1 Getting started 2 Terminology and jargon 3 The geometry of linear equations 4 Projective geometric transformations 5 The geometry of calculus 6 Polynomial approximation and interpolation 7 Splines 8 Nonlinear transformations and surfaces 9 The geometry of vector algebra 10 Modeling shapes with signed distance functions and surrogates 11 Modeling surfaces with boundary representations and triangle meshes 12 Modeling bodies with images and voxelsBDD in Action, Second Edition: Behavior-Driven Development for the whole software lifecycle
Par John Ferguson Smart, Jan Molak. 2023
Deliver software that does what it&’s supposed to do! Behavior-Driven Development guides your software projects to success with collaboration, communication…
techniques, and concrete requirements you can turn into automated tests.In BDD in Action, Second Edition you&’ll learn how to: Implement and improve BDD practices Prioritize features from business goals Facilitate an example mapping session Write automated acceptance tests Scale up your automated acceptance tests Deliver accurate reporting and documentation Around half of all software projects fail to deliver on requirements. Behavior-Driven Development (BDD) helps make sure that yours isn&’t one of them. Behavior-Driven Development in Action, Second Edition teaches you how to ensure that everyone involved in a software project—from developers to non-technical stakeholders—are in agreement on goals and objectives. It lays out the communication skills, collaborative practices, and useful automation tools that will let you seamlessly succeed with BDD. Now in its second edition, this revised bestseller has been extensively updated with new techniques for incorporating BDD into large-scale and enterprise development practices such as Agile and DevOps. Foreword by Daniel Terhorst-North. About the Technology Behavior-Driven Development is a collaborative software design technique that organizes examples of an application&’s desired behavior into a concrete, testable specification. Because the BDD process gathers input from all areas of an organization, it maximizes the likelihood your software will satisfy both end users and business stakeholders. The established collaboration practices and automation strategies in this book will help you maximize the benefits of BDD for your dev team and your business clients. About the Book In BDD in Action, Second Edition, you&’ll learn to seamlessly integrate BDD into your existing development process. This thoroughly revised new edition now shows how to integrate BDD with DevOps and large-scale Agile systems. Practical examples introduce cross-functional team communication skills, leading a successful requirements analysis, and how to set up automated acceptance criteria. What&’s Inside How BDD positively affects teamwork, dynamics, and collaboration with stakeholders Help teams discover and analyze requirements, uncover assumptions, and reduce risks Make acceptance, integration, and unit testing more effective Automate reporting and living documentation to improve transparency About the Reader For all development teams. No experience with BDD required. Examples in Java, JavaScript, and TypeScript can be easily expressed in your chosen language. About the Author John Ferguson Smart is the creator of the Serenity BDD framework and founder of the Serenity Dojo training school. Jan Molak is the author of the Serenity/JS testing framework, Jenkins Build Monitor, and other CD and testing tools.Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing
Par Alfonso Antolínez García. 2023
This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming…
processing. It covers how to use Spark’s structured APIs to perform complex data transformations and analyses you can use to implement end-to-end analytics workflows. This book covers Spark 3's new features, theoretical foundations, and application architecture. The first section introduces the Apache Spark ecosystem as a unified engine for large scale data analytics, and shows you how to run and fine-tune your first application in Spark. The second section centers on batch processing suited to end-of-cycle processing, and data ingestion through files and databases. It explains Spark DataFrame API as well as structured and unstructured data with Apache Spark. The last section deals with scalable, high-throughput, fault-tolerant streaming processing workloads to process real-time data. Here you'll learn about Apache Spark Streaming’s execution model, the architecture of Spark Streaming, monitoring, reporting, and recovering Spark streaming. A full chapter is devoted to future directions for Spark Streaming. With real-world use cases, code snippets, and notebooks hosted on GitHub, this book will give you an understanding of large-scale data analysis concepts--and help you put them to use.Upon completing this book, you will have the knowledge and skills to seamlessly implement large-scale batch and streaming workloads to analyze real-time data streams with Apache Spark.What You Will LearnMaster the concepts of Spark clusters and batch data processingUnderstand data ingestion, transformation, and data storageGain insight into essential stream processing concepts and different streaming architecturesImplement streaming jobs and applications with Spark StreamingWho This Book Is ForData engineers, data analysts, machine learning engineers, Python and R programmersDigital Ecosystem for Innovation in Agriculture (Studies in Big Data #121)
Par Sanjay Chaudhary, Chandrashekhar M. Biradar, Srikrishnan Divakaran, Mehul S. Raval. 2023
This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized…
into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis (Studies in Systems, Decision and Control #471)
Par Mehdi Soltanifar, Hamid Sharafi, Farhad Hosseinzadeh Lotfi, Witold Pedrycz, Tofigh Allahviranloo. 2023
This book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between…
data envelopment analysis and multi-attribute decision making. The issue of "choice" using the aggregation of voters' votes is one of the most important group decision-making issues that are always considered by decision makers in electoral systems. Voting is a method of group decision making in a democratic society that expresses the will of the majority. Voting is perhaps the simplest way to gather the opinions of experts, and this ease of application has made it a multi-attribute decision-making method in group decisions. Preferential voting is a type of voting that may refer to electoral systems or groups of the electoral system. In preferential voting, voters vote for multiple candidates, and how the candidates are arranged on the ballot is important. Researchers have made many efforts to provide models of voter aggregation, and one of the best results of these efforts is the aggregation of votes based on the policy of data envelopment analysis. Thus, in group decisions, the opinions of experts are obtained in a simple structure and consolidated in an interactive and logical structure, and the results can be a powerful tool for decision support.This book provides a complete set of voting models based on data envelopment analysis and expressing its various applications in industry and society. However, most decision-making methods do not use the opinions of experts or reduce the motivation of experts to participate in complex interactions and time, while voting methods do not have this shortcoming.This book is suitable for graduate students in the fields of industrial management, business management, industrial engineering, applied mathematics, and economics. It can also be a good source for researchers in decision science, decision support systems, data envelopment analysis, supply chain management, healthcare management, and others. The methods presented in this book can not only offer a comprehensive framework for solving the problems of these areas but also can inspire researchers to pursue new innovative hybrid methods.Space-Air-Ground Integrated Network Security
Par Jianwei Liu, Lin Bai, Chunxiao Jiang, Wei Zhang. 2023
This book focuses on security science and technology, data and information security, and mobile and network security for space-air-ground integrated…
networks (SAGINs). SAGIN are expected to play an increasingly important role in providing real-time, flexible, and integrated communication and data transmission services in an efficient manner. Today, SAGINs have been widely developed for a range of applications in navigation, environmental monitoring, traffic management, counter-terrorism, etc. However, security becomes a major concern, since the satellites, spacecrafts, and aircrafts are susceptible to a variety of traditional/specific network-based attacks, including eavesdropping, session hijacking, and illegal access. In this book, we review the theoretical foundations of SAGIN security. We also address a range of related security threats and provide cutting-edge solutions in the aspect of ground network security, airborne network security, space network security, and provide future trends in SAGIN security. The book goes from an introduction to the topic’s background, to a description of the basic theory, and then to cutting-edge technologies, making it suitable for readers at all levels including professional researchers and beginners. To gain the most from the book, readers should have taken prior courses in information theory, cryptography, network security, etc.Künstliche Intelligenz und Data Science in Theorie und Praxis: Von Algorithmen und Methoden zur praktischen Umsetzung in Unternehmen
Par Andreas Gillhuber, Göran Kauermann, Wolfgang Hauner. 2023
Dieser Sammelband verbindet theoretische Grundlagen und praktische Anwendungen von Künstlicher Intelligenz (KI) und Data Science: Anerkannte Experten stellen in ihren…
Beiträgen den aktuellen Stand in Forschung und Wirtschaft dar – und bieten so einen einzigartigen Überblick über aktuelle Konzepte und ihre Umsetzung in Unternehmen. Im ersten Teil des Buchs werden die Methoden und Algorithmen skizziert, die sich größtenteils aus einer Kombination von Statistik und Informatik ergeben und auf Verfahren des Maschinellen Lernens bis hin zu Deep Learning und KI basieren. Im zweiten Teil wird die konzeptionelle Umsetzung in der Praxis skizziert: Hier wird insbesondere aufgezeigt, welche Herausforderungen in der Praxis auftreten – ob nun bei der Einbettung der Daten-Use-Cases in eine Gesamtstrategie oder bei der Produktivsetzung, Weiterentwicklung und dem Betrieb von Daten-basierten Lösungen. Der dritte Teil zeigt das breite Potpourri von Data Science in der Praxis: Branchengrößen wie Allianz, ADAC, BMW, Deutsche Bahn, Lufthansa, REWE, RTL, St. Galler Stadtwerke, SwissRe und viele weitere zeigen konkret, welche Erfahrungen sie bei ihren Projekten gesammelt haben. Fachartikel von über 20 namhaften Unternehmen decken die spezifischen Anforderungen ihrer jeweiligen Branchen ab. Das Buch möchte die interdisziplinäre Diskussion und Kooperation zwischen Wissenschaft und Wirtschaft fördern und richtet sich daher an verschiedene Lesergruppen:Studierende und Absolventen, die Orientierung für die eigene Laufbahn suchen.Forschende und Lehrende, die einen Einblick in praxisrelevante Einsatzgebiete erhalten möchten.Anwender, Praktiker und Entscheider, die sich über Chancen und Herausforderungen von KI in der Praxis informieren möchten.Synthetic Biology and iGEM: An Omics Big-data Mining Perspective
Par Kang Ning, Yi Zhan. 2023
This book focuses on biological engineering techniques, multi-omics big-data integration, and data-mining techniques, as well as cutting-edge researches in principles…
and applications of several synthetic biology applications. Synthetic biology is a new research area, while it has been rooted from the long-established area including biological engineering, metabolite engineering, and systems biology. This book will discuss the following aspects: (1) introduction to synthetic biology and iGEM, especially focusing on the systematic design, rational engineering, and sustainability of design in the omics ages; (2) synthetic biology–related multi-omics data integration and data mining techniques; (3) the technical issues, development issues, and safety issues of synthetic biology; (4) data resources, web services, and visualizations for synthetic biology; and (5) advancement in concrete research on synthetic biology, with several case studies shown. Devised as a book on synthetic biology research and education in the omics age, this book has put focuses on systematic design, rational engineering, and sustainability of design for synthetic biology, which will explain in detail and with supportive examples the “What,” “Why,” and “How” of the topic. It is an attempt to bridge the gap between synthetic biology’s research and education side, for best practice of synthetic biology and in-depth insights for the related questions.Information Security and Privacy: 28th Australasian Conference, ACISP 2023, Brisbane, QLD, Australia, July 5–7, 2023, Proceedings (Lecture Notes in Computer Science #13915)
Par Leonie Simpson, Mir Ali Rezazadeh Baee. 2023
This book constitutes the refereed proceedings of the 28th Australasian Conference on Information Security and Privacy, ACISP 2023, held in…
Brisbane, QLD, Australia, during July 5-7, 2023. The 27 full papers presented were carefully revised and selected from 87 submissions. The papers present and discuss different aspects of symmetric-key cryptography, public-key cryptography, post-quantum cryptography, cryptographic protocols, and system security.Signals, Machines and Automation: Select Proceedings of SIGMA 2022 (Lecture Notes in Electrical Engineering #1023)
Par Asha Rani, Bhavnesh Kumar, Vivek Shrivastava, Ramesh C. Bansal. 2023
This book constitutes selected peer-reviewed proceedings of the 2nd International Conference on Signals, machines, and Automation (SIGMA 2022). This book…
includes papers on technologies related to electric power, manufacturing processes & automation, biomedical & healthcare, communication & networking, image processing, and computation intelligence. The book will serve as a valuable reference resource for beginners as well as advanced researchers in the areas of engineering & technology.Anwendungsorientierte Wirtschaftsinformatik: Strategische Planung, Entwicklung und Nutzung von Informationssystemen
Par Paul Alpar, Rainer Alt, Frank Bensberg, Christian Czarnecki. 2023
Lernen Sie die anwendungsorientierte Seite der Wirtschaftsinformatik kennen Wo kommen Informationstechnologien in Gesellschaft und Wirtschaft zum Einsatz? Dieses Lehrbuch liefert…
eine ganzheitliche und praxisbezogene Antwort. Die Autoren erläutern die Bedeutung von Informationssystemen in Unternehmen. Erfahren Sie, welche Aufgaben das Informationsmanagement erfüllt und wie Sie solche Systeme planen und steuern. Im Vordergrund des Lehrbuchs der Wirtschaftsinformatik stehen verschiedene Aspekte der digitalen Transformation, wie etwa: • Electronic Business • Mobile Business • Social Media und Web 2.0 • Internet der Dinge, M2M und Industrie 4.0 Neben praxisorientierten Gestaltungsansätzen der Digitalisierung auf Strategie-, Organisations- und Informationssystemebene stellen Ihnen die Autoren verschiedene betriebliche Anwendungssysteme (vor dem Hintergrund „Big Data“) vor und widmen sich der anwendungsorientierten Softwareentwicklung. Klar veranschaulichte Sachverhalte Die zahlreichen Beispiele, Tabellen und Grafiken erleichtern das Verständnis der komplexen Inhalte und machen dieses Lehrbuch zu einem hilfreichen Werkzeug für die angewandte Wirtschaftsinformatik. Nutzen Sie es in der Kommunikationstechnologie oder für die Entwicklung einer Softwarearchitektur. Dank seiner zahlreichen Einsatzmöglichkeiten ist dieses Buch eine echte Bereicherung – nicht nur für Studenten der Wirtschaftsinformatik, sondern auch für Praktiker wie Ingenieure in der IT oder verwandten Fachabteilungen.An Introduction to Artificial Psychology: Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R
Par Hojjatollah Farahani, Marija Blagojević, Parviz Azadfallah, Peter Watson, Forough Esrafilian, Sara Saljoughi. 2023
Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when…
psychologists do research and need a robust analysis method. Conventional statistical approaches have deep rooted limitations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by simplifying the models being studied. This stance has not received much practical attention recently. Promoting and improving artificial intelligence helps mind researchers to find a holistic model of mental models. This development achieves this goal by using multiple perspectives and multiple data sets together with interactive, and realistic models. In this book, the methodology of approximate inference in psychological research from a theoretical and practical perspective has been considered. Quantitative variable-oriented methodology and qualitative case-oriented methods are both used to explain the set-oriented methodology and this book combines the precision of quantitative methods with information from qualitative methods. This is a book that many researchers can use to expand and deepen their psychological research and is a book which can be useful to postgraduate students. The reader does not need an in-depth knowledge of mathematics or statistics because statistical and mathematical intuitions are key here and they will be learned through practice. What is important is to understand and use the new application of the methods for finding new, dynamic and realistic interpretations. This book incorporates theoretical fuzzy inference and deep machine learning algorithms in practice. This is the kind of book that we wished we had had when we were students. This book covers at least some of the most important issues in mind research including uncertainty, fuzziness, continuity, complexity and high dimensionality which are inherent to mind data. These are elements of artificial psychology. This book implements models using R software.Practical Data Mining Techniques and Applications
Par Dr Ketan Shah. 2023
Data mining techniques and algorithms are extensively used to build real-world applications. A practical approach can be applied to data…
mining techniques to build applications. Once deployed, an application enables the developers to work on the users’ goals and mold the algorithms with respect to users’ perspectives. Practical Data Mining Techniques and Applications focuses on various concepts related to data mining and how these techniques can be used to develop and deploy applications. The book provides a systematic composition of fundamental concepts of data mining blended with practical applications. The aim of this book is to provide access to practical data mining applications and techniques to help readers gain an understanding of data mining in practice. Readers also learn how relevant techniques and algorithms are applied to solve problems and to provide solutions to real-world applications in different domains. This book can help academicians to extend their knowledge of the field as well as their understanding of applications based on different techniques to gain greater insight. It can also help researchers with real-world applications by diving deeper into the domain. Computing science students, application developers, and business professionals may also benefit from this examination of applied data science techniques. By highlighting an overall picture of the field, introducing various mining techniques, and focusing on different applications and research directions using these methods, this book can motivate discussions among academics, researchers, professionals, and students to exchange and develop their views regarding the dynamic field that is data mining.Essays on the Visualisation of Legal Informatics (Law, Governance and Technology Series #54)
Par Vytautas Cyras, Friedrich Lachmayer. 2023
Both legal scholars and computer scientists will be curious to know how the gap between law and computing can be…
bridged. The law, and also jurisprudence, is based on language, and is mainly textual. Every syntactic system has its semantic range, and so does language, which in law achieves a high degree of professional precision. The use of visualisations is a syntactic supplement and opens up a new understanding of legal forms. This understanding was reinforced by the paradigm shift from textual law to legal informatics, in which visual formal notations are decisive. The authors have been dealing with visualisation approaches for a long time and summarise them here for discussion. In this book, a multiphase transformation from the legal domain to computer code is explored. The authors consider law enforcement by computer. The target view is that legal machines are legal actors that are capable of triggering institutional facts. In the visualisation of statutory law, an approach called Structural Legal Visualisation is presented. Specifically, the visualisation of legal meaning is linked with tertium comparationis, the third part of the comparison. In a legal documentation system, representing one legal source with multiple documents is viewed as a granularity problem. The authors propose to supplement legislative documents ex ante with explicit logic-oriented information in the form of a mini thesaurus. In contrast to so-called strong relations such as synonymy, antonymy and hypernymy/hyponymy, one should consider weak relations: (1) dialectical relations, a term of dialectical antithesis; (2) context relations; and (3) metaphorical relations, which means the use of metaphors for terms. The chapters trace topics such as the distinction between knowledge visualisation and knowledge representation, the visualisation of Hans Kelsen’s Pure Theory of Law, the separation of law and legal science, legal subsumption, legal relations, legal machines, encapsulation, compliance, transparency, standard cases and hard cases.Recommender Systems: A Multi-Disciplinary Approach (Intelligent Systems)
Par Monideepa Roy, Pushpendu Kar, Sujoy Datta. 2023
Recommender Systems: A Multi-Disciplinary Approach presents a multi-disciplinary approach for the development of recommender systems. It explains different types of…
pertinent algorithms with their comparative analysis and their role for different applications. This book explains the big data behind recommender systems, the marketing benefits, how to make good decision support systems, the role of machine learning and artificial networks, and the statistical models with two case studies. It shows how to design attack resistant and trust-centric recommender systems for applications dealing with sensitive data. Features of this book: Identifies and describes recommender systems for practical uses Describes how to design, train, and evaluate a recommendation algorithm Explains migration from a recommendation model to a live system with users Describes utilization of the data collected from a recommender system to understand the user preferences Addresses the security aspects and ways to deal with possible attacks to build a robust system This book is aimed at researchers and graduate students in computer science, electronics and communication engineering, mathematical science, and data science.Future IT leaders won't be technology leaders, they'll be business leaders who understand technology. Leading the Digital Workforce takes a…
fresh look at technology leadership, exploring how to lead and manage in today’s digital workplace where the pace of change is exponential. This book walks you through building personal resiliency and avoiding stress and burnout to creating a strategy, building a high-performance team, and examining how technology will change the workforce of the future. Technology leadership requires a unique set of skills, which is why traditional leadership approaches don't always work. This book provides actionable advice on how to create a culture of innovation while driving successful change initiatives. Leading the Digital Workforce provides strategies for empowering people, optimizing processes, and inspiring innovation. This book offers insights into managing change, leveraging technology, and building strong relationships within your organization, including how to understand and work with company culture. Finally, it shares strategies for using technology and innovation to create a competitive edge to unlock new opportunities. Leading the Digital Workforce is essential reading for IT leaders who want to develop their skills, stay ahead of the digital curve, and lead their organizations into the future. No matter if you’re a new IT leader, an aspiring one, or a seasoned leader who’s been at it for years, there’s something in this book that will help you level up your game.Third Congress on Intelligent Systems: Proceedings of CIS 2022, Volume 2 (Lecture Notes in Networks and Systems #613)
Par Sandeep Kumar, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal. 2023
This book is a collection of selected papers presented at the Third Congress on Intelligent Systems (CIS 2022), organized by…
CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 5–6, 2022. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.This book aims to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development…
of future ICT-enabled applications: software intensive systems, complex systems and intelligent systems.Software intensive systems are systems, which heavily interact with other systems, sensors, actuators, devices, other software systems and users. More and more domains are involved with software intensive systems, e.g., automotive, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems.Complex systems research is focused on the overall understanding of systems rather than its components. Complex systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions. The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations, builds a fruitful impulse for both software intensive systems and complex systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important factor for the future development and innovation of software intensive and complex systems.