03998nam 2200505 450 991015756020332120200520144314.0(CKB)3710000000984967(MiAaPQ)EBC4773980(CaSebORM)9781786467218(PPN)198042922(Au-PeEL)EBL4773980(CaPaEBR)ebr11351108(CaONFJC)MIL984333(OCoLC)967394047(EXLCZ)99371000000098496720170301h20162016 uy 0engurcnu||||||||rdacontentrdamediardacarrierAndroid design patterns and best practice create reliable, robust, and efficient Android apps with industry-standard design patterns /Kyle Mew1st editionBirmingham, England ;Mumbai, [India] :Packt,2016.©20161 online resource (361 pages)Includes index.1-78646-721-6 1-78646-591-4 Create reliable, robust, and efficient Android apps with industry-standard design patterns About This Book Create efficient object interaction patterns for faster and more efficient Android development Get into efficient and fast app development and start making money from your android apps Implement industry-standard design patterns and best practices to reduce your app development time drastically Who This Book Is For This book is intended for Android developers who have some basic android development experience. Basic Java programming knowledge is a must to get the most out of this book. What You Will Learn Build a simple app and run it on real and emulated devices Explore the WYSIWYG and XML approaches to material design provided within Android Studio Detect user activities by using touch screen listeners, gesture detection, and reading sensors Apply transitions and shared elements to employ elegant animations and efficiently use the minimal screen space of mobile devices Develop apps that automatically apply the best layouts for different devices by using designated directories Socialize in the digital word by connecting your app to social media Make your apps available to the largest possible audience with the AppCompat support library In Detail Are you an Android developer with some experience under your belt? Are you wondering how the experts create efficient and good-looking apps? Then your wait will end with this book! We will teach you about different Android development patterns that will enable you to write clean code and make your app stand out from the crowd. The book starts by introducing the Android development environment and exploring the support libraries. You will gradually explore the different design and layout patterns and get to know the best practices of how to use them together. Then you'll then develop an application that will help you grasp activities, services, and broadcasts and their roles in Android development. Moving on, you will add user-detecting classes and APIs such as gesture detection, touch screen listeners, and sensors to your app. You will also learn to adapt your app to run on tablets and other devices and platforms, including Android Wear, auto, and TV. Finally, you will see how to connect your app to social media and explore deployment patterns as well as the best publishing and monetizing practices. The book will start by introducing the Android development environment and exploring the support l...Application softwareDevelopmentMobile computingElectronic books.Application softwareDevelopment.Mobile computing.004.167Mew Kyle889738MiAaPQMiAaPQMiAaPQBOOK9910157560203321Android design patterns and best practice1987863UNINA04178nam 22006615 450 991029985970332120251113202134.03-319-08281-710.1007/978-3-319-08281-3(CKB)3710000000269613(EBL)1965237(SSID)ssj0001372463(PQKBManifestationID)11785442(PQKBTitleCode)TC0001372463(PQKBWorkID)11303930(PQKB)10829351(DE-He213)978-3-319-08281-3(MiAaPQ)EBC1965237(PPN)182093069(EXLCZ)99371000000026961320141030d2015 u| 0engur|n|---|||||txtccrComputational Red Teaming Risk Analytics of Big-Data-to-Decisions Intelligent Systems /by Hussein A. Abbass1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (239 p.)Description based upon print version of record.3-319-08280-9 Includes bibliographical references at the end of each chapters and index.The Art of Red Teaming -- Analytics of Risk and Challenge -- Big–Data–to–Decisions Red Teaming Systems -- Case Studies on Computational Red Teaming -- The Way Forward.Written to bridge the information needs of management and computational scientists, this book presents the first comprehensive treatment of Computational Red Teaming (CRT).  The author describes an analytics environment that blends human reasoning and computational modeling to design risk-aware and evidence-based smart decision making systems. He presents the Shadow CRT Machine, which shadows the operations of an actual system to think with decision makers, challenge threats, and design remedies. This is the first book to generalize red teaming (RT) outside the military and security domains and it offers coverage of RT principles, practical and ethical guidelines. The author utilizes Gilbert’s principles for introducing a science. Simplicity: where the book follows a special style to make it accessible to a wide range of  readers. Coherence:  where only necessary elements from experimentation, optimization, simulation, data mining, big data, cognitive information processing, and system thinking are blended together systematically to present CRT as the science of Risk Analytics and Challenge Analytics. Utility: where the author draws on a wide range of examples, ranging from job interviews to Cyber operations, before presenting three case studies from air traffic control technologies, human behavior, and complex socio-technical systems involving real-time mining and integration of human brain data in the decision making environment.    • Presents first comprehensive treatment of Computational Red Teaming; • Provides balanced coverage of the topic from the perspectives of risk thinking and computational modeling; • Includes thorough coverage of the computational approach to the problem; • Links risk analytics and challenge analytics with the right set of computational tools to assess risk in complex, “big-data”situations.Computational intelligenceTelecommunicationInformation retrievalComputer architectureComputational IntelligenceCommunications Engineering, NetworksData Storage RepresentationComputational intelligence.Telecommunication.Information retrieval.Computer architecture.Computational Intelligence.Communications Engineering, Networks.Data Storage Representation.004.5006.3620621.382Abbass Hussein Aauthttp://id.loc.gov/vocabulary/relators/aut720713BOOK9910299859703321Computational Red Teaming1412370UNINA