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Przedsiębiorstwa z branży technologicznej ciągle mierzą się z silną konkurencją. Nietrudno zrozumieć, co stanowi o przewadze firmy niezależnie od branży czy wielkości. Wygrywanie wymaga utrzymywania przewagi konkurencyjnej, jaką jest zdolność określania, wdrażania i osiągania poziomów wydajności nieosiągalnych dla konkurencji. Najczęściej przewaga konkurencyjna ma dwa źródła. Pierwszym jest dostarczanie funkcjonalnych rozwiązań, które dają radość użytkownikom. Drugim -- wykorzystywanie właściwych danych do wdrażania odpowiedniej strategii, która wciąż podlega optymalizacji. Zastosowanie w tych działaniach rozwiązań z dziedziny sztucznej inteligencji znacznie przyczynia się do sukcesu firmy

Frameworki bardzo ułatwiają życie programistom. Pozwalają na szybkie tworzenie nawet rozbudowanych aplikacji, ale praca z frameworkiem najczęściej oznacza duże ograniczenia w doborze technologii. Wszystko jest w porządku, dopóki deweloper stosuje dokładnie te rozwiązania, które zaplanowali twórcy frameworka. Jeśli jednak zechce użyć innej bazy danych albo wykorzystać własną, autorską metodę uwierzytelniania użytkowników, może napotkać różne nieprzewidziane problemy. Szczęśliwie nie wszystkie mikrośrodowiska zachowują się w ten sposób. Framework napisany w Pythonie Flask, w odróżnieniu od typowych frameworków, umożliwia swobodne dobieranie technologii i komponentów aplikacji, a nawet tworzenie własnych rozwiązań. Oznacza to, że Flask pozwoli Ci zachować pełną kontrolę nad budowanym oprogramowaniem!

Kubernetes jest platformą do orkiestracji kontenerów. Projekt ten należy dziś do najpopularniejszych i najbogatszych narzędzi w swojej klasie, stanowi także podstawę dla wielu innych platform, znanych jako systemy typu PaaS. Dzięki nim Kubernetes zyskał możliwość tworzenia aplikacji, jednak tego rodzaju narzędzia wymagają od programistów i architektów zastosowania odpowiednich wzorców projektowych. Opisują one schematy rozwiązywania problemów na różnych poziomach dokładności, a tym samym umożliwiają efektywne projektowanie i implementację nowoczesnych, elastycznych natywnych aplikacji chmurowych w Kubernetesie

To książka przeznaczona dla programistów, którzy chcą maksymalnie wykorzystać możliwości Kubernetesa, również poprzez pisanie własnych zasobów. W praktyczny sposób pokazuje, jak rozwijać natywne, działające w chmurze aplikacje dla Kubernetesa. Wyjaśnia, w jaki sposób działa biblioteka API client-go i jak należy budować zasoby niestandardowe. Znalazło się tu obszerne i szczegółowe omówienie interfejsu programowania i działania platformy Kubernetes, a także pisania stabilnego oprogramowania w języku Go. Nie zabrakło szeregu wskazówek dotyczących samego pisania kodu oraz przeprowadzania testów. Dużo uwagi poświęcono niestandardowym zasobom, kontrolerom, webhookom i niestandardowym serwerom API oraz wzorcom rozszerzania Kubernetesa

Dzięki tej książce dowiesz się, jak sobie z tym poradzić. Znalazło się w niej krótkie wprowadzenie do Pythona oraz do automatyzacji przetwarzania tekstu i obsługi systemu plików, a także do pisania własnych narzędzi wiersza poleceń. Zaprezentowano również przydatne narzędzia linuksowe, systemy zarządzania pakietami oraz systemy budowania, monitorowania i automatycznego testowania kodu. Zagadnienia te szczególnie zainteresują specjalistów DevOps. Ponadto zawarto tu podstawowe informacje o chmurze obliczeniowej, usługach IaC i systemach Kubernetes. Omówiono zasady uczenia maszynowego i inżynierii danych z perspektywy DevOps. Przedstawiono także kompletny przewodnik po procesach budowania, wdrażania oraz operacyjnego wykorzystywania modelu uczenia maszynowego z użyciem systemów Flask, sklearn, Docker i Kubernetes

Ta książka jest szerokim, aktualnym i praktycznym przeglądem metod analizy szeregów czasowych, w którym ujęto pełny potok przetwarzania danych czasowych i modelowania. Zaprezentowano w niej rzeczywiste przypadki użycia tych metod i zilustrowano je obszernymi fragmentami znakomicie zaprojektowanego kodu w językach R i Python. Znalazły się tutaj praktyczne wskazówki ułatwiające rozwiązywanie najczęstszych problemów występujących w inżynierii danych czasowych i ich analizie. Ujęto tu zarówno konwencjonalne metody statystyczne, jak i nowoczesne techniki uczenia maszynowego. To bardzo przydatny przewodnik, dzięki któremu analitycy danych, inżynierowie oprogramowania i naukowcy będą mogli płynnie przejść od podstaw pracy z szeregami czasowymi do rozwiązywania konkretnych zagadnień na profesjonalnym poziomie

Ta książka jest przeznaczona dla średnio zaawansowanych i początkujących programistów, którzy chcą poznać narzędzia ułatwiające tworzenie różnych aplikacji w JavaScripcie. Przedstawiono tu kompletne instrumentarium, dzięki któremu można tworzyć kod aplikacji w stylu CRUD działającej na każdej platformie. Opisano, w jaki sposób należy przygotować sobie środowisko programistyczne do pracy, omówiono sposób tworzenia API za pomocą Node i Express, bazy danych MongoDB oraz serwera Apollo. Sporo miejsca poświęcono tworzeniu interfejsów użytkownika niezależnych od platformy za pomocą różnych narzędzi. Poszczególne zagadnienia zilustrowano praktycznymi przykładami działającego kodu. Dzięki tej publikacji nawet początkujący programista zacznie szybko podejmować świadome decyzje technologiczne

Companies looking to move enterprise applications to the cloud are busy weighing several options, such as the use of containers, machine learning, and serverless computing. There's a better way. Instead of helping you fit your use case to individual technologies, this practical guide explains how to use these technologies to fit your use case. Author Rui Costa, a learning consultant with Google, demonstrates this approach by showing you how to run your application on Google Cloud. Each chapter is dedicated to an area of technology that you need to address when planning and deploying your application. This book starts by presenting a detailed fictional use case, followed by chapters that focus on the building blocks necessary to deploy a secure enterprise application successfully. Build serverless applications with Google Cloud Functions Explore use cases for deploying a real-time messaging service Deploy applications to Google Kubernetes Engine (GKE) Build multiregional GKE clusters Integrate continuous integration and continuous delivery with your application Incorporate Google Cloud APIs, including speech-to-text and data loss prevention Enrich data with Google Cloud Dataflow Secure your application with Google Cloud Identity-Aware Proxy Explore BigQuery and visualization with Looker and BigQuery SDKs.

Using an easily accessible, highly templated format, Clinical Cases in Tropical Medicine, 2nd Edition, provides more than 100 realistic scenarios for tropical infectious diseases. Full-color photographs and maps, a convenient question-and-answer presentation, and succinct summary boxes help you identify and understand the tropical diseases you're likely to encounter. This up-to-date 2nd Edition is an excellent resource and study tool for infectious diseases fellows, doctors preparing for exams in tropical medicine, primary care doctors with patients who are global travelers, and global health nurses and practitioners alike. Offers realistic scenarios for encountering patients in rural, resource-poor settings, presenting cases as "unknowns, " just as in a real clinic or emergency situation. Covers newly emerging diseases such as Zika virus, severe fever with thrombocytopenia syndrome (SFTS), and knowlesi malaria. Features topics in migrant medicine of particular importance to clinicians in non-tropical countries, including louse-borne-relapsing fever, spinal brucellosis, and hyperreactive malarial splenomegaly. Includes "classic" tropical diseases such as African trypanosomiasis, chagas, leprosy, and yaws. Reflects the use of novel diagnostics used in resource-poor settings, as well as developing drug resistance in relevant cases. Provides a useful index and map that organize cases geographically, for a targeted approach to study. Serves as a companion to Manson's Tropical Diseases, with a reading list at the end of each case referring to the corresponding chapter in the larger text. Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.
(source: Nielsen Book Data)

• Water
• Energy
• Agriculture and Food
• Built Environment and Infrastructure
• Transport
• Human Health
• Society
• Disaster.

The effects of climate change are beginning to be felt around the world with rising temperatures, changing precipitation levels, more frequent and severe storms and longer more intensive droughts threatening human life and livelihoods and damaging property and infrastructure. As such, society in all countries - both developing and developed - need to increase their resilience to the impacts of climate change, where resilience is the ability of a system to absorb stresses and adapt in ways that improve the overall sustainability of the system; enabling it to be better prepared for future climate change impacts. In this context, a climate resilient society is one that is: reflective (learns from experiences); robust (both people and infrastructure can withstand the impacts of extreme conditions); forward-thinking (with plans made to ensure systems function during extreme events); flexible (so systems and plans can change, evolve or adopt alternative strategies); resourceful (to respond quickly to extreme events); inclusive (so all communities including the vulnerable are involved in planning); and integrated (so people, systems, decision-making and investments are mutually supportive of common goals). The Climate Resilient Societies Major Reference Work includes chapters covering a range of themes that provide readers with an invaluable overview on how various levels of government have attempted to create climate resilient societies. In particular, each chapter, under its respective theme, will address how a government, or series of governments, at various levels in non-OECD and/or OECD countries, have implemented innovative climate resilient policies that seek synergies across strategies, choices and actions, in an attempt to build a climate resilient society. Each chapter will address one specific sub-theme out of the population of themes covered in the Major Reference Work: Water, Energy, Agriculture and Food Built environment and Infrastructure, Transport, Human health, Society, and Disaster.
(source: Nielsen Book Data)

There are awesome discoveries to be made and valuable stories to be told in datasets--and this book will help you uncover them. Whether you already work with data or just want to understand its possibilities, the techniques and advice in this practical book will help you learn how to better clean, evaluate, and analyze data to generate meaningful insights and compelling visualizations. Through foundational concepts and worked examples, author Susan McGregor provides the tools you need to evaluate and analyze all kinds of data and communicate your findings effectively. This book provides a methodical, jargon-free way for practitioners of all levels to harness the power of data. Use Python 3.8+ to read, write, and transform data from a variety of sources Understand and use programming basics in Python to wrangle data at scale Organize, document, and structure your code using best practices Complete exercises either on your own machine or on the web Collect data from structured data files, web pages, and APIs Perform basic statistical analysis to make meaning from data sets Visualize and present data in clear and compelling ways

• Internet of Things and Smart Systems
• Artificial Intelligence and Applications
• Communication System Detection, Analysis and Application
• Medical Engineering and Information Systems.

This book contains a collection of the papers accepted by the CENet2020 - the 10th International Conference on Computer Engineering and Networks held on October 16-18, 2020 in Xi'an, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.

This book contains accepted papers presented at ICEUTE 2020 held in the beautiful and historic city of Burgos (Spain), in September 2020. The 11th International Conference on EUropean Transnational Education (ICEUTE 2020) has been a meeting point for people working on transnational education within Europe. It has provided a stimulating and fruitful forum for presenting and discussing the latest works and advances on transnational education within European countries. After a thorough peer-review process, the ICEUTE 2020 International Program Committee selected 44 papers which are published in these conference proceedings achieving an acceptance rate of 41%. Due to the COVID-19 outbreak, the ICEUTE 2020 edition was blended, combining on-site and on-line participation. In this relevant edition, a special emphasis was put on the organization of five special sessions related to relevant topics as Role of English in Transnational Education and Teacher Training, Personalization and ICT: a Path to Educational Inclusion, Innovation and Research Findings in Engineering Higher Education, Practical Implementations of Novel Initiatives, and Innovation in Computer Science Higher Education. The selection of papers was extremely rigorous in order to maintain the high quality of the conference, and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the ICEUTE conference would not exist without their help.
(source: Nielsen Book Data)

• Intro
• Preface
• Organization
• General Chair
• General Co-chair
• International Advisory Committee
• Program Committee Chairs
• Program Committee
• Special Sessions
• Fake News Detection and Prevention
• Special Session Organizers
• Program Committee
• Mathematical Methods and Models in Cybersecurity
• Special Session Organizers
• Program Committee
• Measurements for a Dynamic Cyber-risk Assessment
• Special Session Organizers
• Program Committee
• Cibersecurity in a Hybrid Quantum World
• Special Session Organizers
• Program Committee
• Anomaly/Intrusion Detection

• Special Session Organizers
• Program Committee
• Organising Committee Chairs
• Organising Committee
• Contents
• I Cryptocurrencies and Blockchain
• Attacking with Bitcoin: Using Bitcoin to Build Resilient Botnet Armies
• 1 Introduction
• 2 Related Work and Background
• 2.1 Botnet Armies
• 2.2 Blockchain
• 2.3 Bitcoin
• 3 Attacking with Bitcoin
• 4 Implementation
• 4.1 Dynamic Shell Sessions
• 4.2 Writing Arbitrary Data to Bitcoin Blockchain
• 4.3 Reading Arbitrary Data from the Blockchain
• 5 The Good, the Bad, and the Ugly
• 6 Conclusion
• A Payload and Listener

• B Calc.exe Launched from Meterpreter
• C Dynamic Transport Connection
• D Simple Block Explorer
• E Full Node Block Explorer
• References
• Blockchain-Based Systems in Land Registry, A Survey of Their Use and Economic Implications
• 1 Introduction
• 2 Blockchain and Land Registry Around the World
• 3 Benefits of Blockchain Technology in Land Registry
• 3.1 Time
• 3.2 Economic Resources
• 3.3 Inconsistencies and Corruption
• 4 Discussion
• 5 Conclusions
• References
• The Evolution of Privacy in the Blockchain: A Historical Survey
• 1 Introduction
• 2 Bitcoin as a Case Study

• 3 Loss of Privacy in Transactions
• 3.1 Mixing Protocols for Bitcoin
• 3.2 The Knowledge Limitation Protocols
• 4 Conclusions
• References
• Securing Cryptoasset Insurance Services with Multisignatures
• 1 Introduction
• 2 State of the Art
• 2.1 Risks Related to Cryptoasset Security
• 2.2 Countermeasures to Cryptoasset Security Risks
• 3 Cryptoasset Insurance System
• 3.1 Architecture
• 3.2 ICA Protocols
• 3.3 Discussion
• 4 Conclusions
• References
• Building an Ethereum-Based Decentralized Vehicle Rental System
• 1 Introduction
• 1.1 Background
• 2 Related Works

• 3 DApp Ecosystem
• 4 User Application
• 4.1 Smart Contracts
• 4.2 Implementation
• 5 Security Analysis Draft
• 6 Conclusions and Future Works
• References
• I Machine Learning
• Off-Line Writer Verification Using Segments of Handwritten Samples and SVM
• 1 Introduction
• 2 Segments from Characters and Pressure Descriptor
• 3 Materials and Methods
• 3.1 Image Segment Repository
• 3.2 Classification Scheme
• 4 Identification Results
• 4.1 Using All the Basic Segments Together
• 5 Conclusions and Future Work
• References

This book contains accepted papers presented at CISIS 2020 held in the beautiful and historic city of Burgos (Spain), in September 2020. The aim of the CISIS 2020 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of computational intelligence, information security, and data mining. The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a thorough peer-review process, the CISIS 2020 International Program Committee selected 43 papers which are published in these conference proceedings achieving an acceptance rate of 28%. Due to the COVID-19 outbreak, the CISIS 2020 edition was blended, combining on-site and on-line participation. In this relevant edition, a special emphasis was put on the organization of five special sessions related to relevant topics as Fake News Detection and Prevention, Mathematical Methods and Models in Cybersecurity, Measurements for a Dynamic Cyber-Risk Assessment, Cybersecurity in a Hybrid Quantum World, Anomaly/Intrusion Detection, and From the least to the least: cryptographic and data analytics solutions to fulfil least minimum privilege and endorse least minimum effort in information systems. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the CISIS conference would not exist without their help.
(source: Nielsen Book Data)

• Section 1_Business Management Issues.- Servitization and the Management of Engineered Assets.- Considerations on investment and business models.- Section 2_Risk Management Issues.- Planning Major Overhaul and Equipment Renovation Based on Asset Criticality and Health Index.- Graph Theory and Its Role in Vulnerability Evaluation of Infrastructure Networks.- Section 3_Asset Data and Information.- Aligning IIoT and ISA-95 to improve Asset Management in Process Industries.- Real Value of Data in Managing Manufacturing Assets.- Section 4_Asset Management Systems.- Integration of Asset Management Standard ISO55000 Automating data driven decisions for asset management - A how to framework for integrating OT/IT operational and information technology, procedures and staff with a Maintenance Management Model.- Section 5_Covid-19 Perspectives.- Engineering Asset Management at Times of Major, Large-Scale Instabilities and Disruptions.- The end of megaproject certainty: Post COVID-19 national infrastructure management.
• (source: Nielsen Book Data)

This book gathers selected peer-reviewed papers from the 14th World Congress on Engineering Asset Management (WCEAM), which was held in Singapore on 28-31 July 2019, as well as papers presented during the 1st WCEAMOnline event which focused on the ramifications of Covid-19 on infrastructure systems. This book covers a wide range of topics in engineering asset management, including: asset management services provisioning; servitization; decision-making; asset management systems; industrial Internet of things; and vulnerability and resilience of infrastructure systems. The breadth and depth of these state-of-the-art, comprehensive proceedings make them an excellent resource for asset management practitioners, researchers and academics, as well as undergraduate and postgraduate students.
(source: Nielsen Book Data)