Mobile Applications

Download or read book Building Mobile Apps at Scale written by Gergely Orosz and published by . This book was released on 2021-04-06 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: While there is a lot of appreciation for backend and distributed systems challenges, there tends to be less empathy for why mobile development is hard when done at scale. This book collects challenges engineers face when building iOS and Android apps at scale, and common ways to tackle these. By scale, we mean having numbers of users in the millions and being built by large engineering teams. For mobile engineers, this book is a blueprint for modern app engineering approaches. For non-mobile engineers and managers, it is a resource with which to build empathy and appreciation for the complexity of world-class mobile engineering. The book covers iOS and Android mobile app challenges on these dimensions: Challenges due to the unique nature of mobile applications compared to the web, and to the backend. App complexity challenges. How do you deal with increasingly complicated navigation patterns? What about non-deterministic event combinations? How do you localize across several languages, and how do you scale your automated and manual tests? Challenges due to large engineering teams. The larger the mobile team, the more challenging it becomes to ensure a consistent architecture. If your company builds multiple apps, how do you balance not rewriting everything from scratch while moving at a fast pace, over waiting on "centralized" teams? Cross-platform approaches. The tooling to build mobile apps keeps changing. New languages, frameworks, and approaches that all promise to address the pain points of mobile engineering keep appearing. But which approach should you choose? Flutter, React Native, Cordova? Native apps? Reuse business logic written in Kotlin, C#, C++ or other languages? What engineering approaches do "world-class" mobile engineering teams choose in non-functional aspects like code quality, compliance, privacy, compliance, or with experimentation, performance, or app size?

Download or read book Mobile Applications Development with Android written by Meikang Qiu and published by CRC Press. This book was released on 2016-10-14 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile Applications Development with Android: Technologies and Algorithms presents advanced techniques for mobile app development, and addresses recent developments in mobile technologies and wireless networks. The book covers advanced algorithms, embedded systems, novel mobile app architecture, and mobile cloud computing paradigms. Divided into three sections, the book explores three major dimensions in the current mobile app development domain. The first section describes mobile app design and development skills, including a quick start on using Java to run an Android application on a real phone. It also introduces 2D graphics and UI design, as well as multimedia in Android mobile apps. The second part of the book delves into advanced mobile app optimization, including an overview of mobile embedded systems and architecture. Data storage in Android, mobile optimization by dynamic programming, and mobile optimization by loop scheduling are also covered. The last section of the book looks at emerging technologies, including mobile cloud computing, advanced techniques using Big Data, and mobile Big Data storage. About the Authors Meikang Qiu is an Associate Professor of Computer Science at Pace University, and an adjunct professor at Columbia University. He is an IEEE/ACM Senior Member, as well as Chair of the IEEE STC (Special Technical Community) on Smart Computing. He is an Associate Editor of a dozen of journals including IEEE Transactions on Computers and IEEE Transactions on Cloud Computing. He has published 320+ peer-reviewed journal/conference papers and won 10+ Best Paper Awards. Wenyun Dai is pursuing his PhD at Pace University. His research interests include high performance computing, mobile data privacy, resource management optimization, cloud computing, and mobile networking. His paper about mobile app privacy has been published in IEEE Transactions on Computers. Keke Gai is pursuing his PhD at Pace University. He has published over 60 peer-reviewed journal or conference papers, and has received three IEEE Best Paper Awards. His research interests include cloud computing, cyber security, combinatorial optimization, business process modeling, enterprise architecture, and Internet computing. .

Download or read book The Everything Guide to Mobile Apps written by Peggy Anne Salz and published by Simon and Schuster. This book was released on 2013-02-18 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert advice on how to succeed in the mobile market! Experts estimate that mobile app revenues will nearly quadruple over the next few years, but for many business owners and entrepreneurs, figuring out how to affordably create and market an app is a daunting challenge. But it doesn't have to be! With The Everything Guide to Mobile Apps, you'll learn all you need to know about creating a mobile app without breaking the bank account. In this book, you'll discover: What to consider when developing an app Which format best fits your needs and budget How to stand out in the app market The benefits of including apps in a marketing strategy How creating an app can improve business revenue From the development stage to marketing and beyond, The Everything Guide to Mobile Apps will help you develop an app that attracts more customers and boosts your business's revenue.

Download or read book Mobile Application Security written by Himanshu Dwivedi and published by McGraw Hill Professional. This book was released on 2010-02-18 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Secure today's mobile devices and applications Implement a systematic approach to security in your mobile application development with help from this practical guide. Featuring case studies, code examples, and best practices, Mobile Application Security details how to protect against vulnerabilities in the latest smartphone and PDA platforms. Maximize isolation, lockdown internal and removable storage, work with sandboxing and signing, and encrypt sensitive user information. Safeguards against viruses, worms, malware, and buffer overflow exploits are also covered in this comprehensive resource. Design highly isolated, secure, and authenticated mobile applications Use the Google Android emulator, debugger, and third-party security tools Configure Apple iPhone APIs to prevent overflow and SQL injection attacks Employ private and public key cryptography on Windows Mobile devices Enforce fine-grained security policies using the BlackBerry Enterprise Server Plug holes in Java Mobile Edition, SymbianOS, and WebOS applications Test for XSS, CSRF, HTTP redirects, and phishing attacks on WAP/Mobile HTML applications Identify and eliminate threats from Bluetooth, SMS, and GPS services Himanshu Dwivedi is a co-founder of iSEC Partners (www.isecpartners.com), an information security firm specializing in application security. Chris Clark is a principal security consultant with iSEC Partners. David Thiel is a principal security consultant with iSEC Partners.

Download or read book Mobile Design Pattern Gallery written by Theresa Neil and published by "O'Reilly Media, Inc.". This book was released on 2012-03-06 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: When you’re under pressure to produce a well designed, easy-to-navigate mobile app, there’s no time to reinvent the wheel. This concise book provides a handy reference to 70 mobile app design patterns, illustrated by more than 400 screenshots from current iOS, Android, BlackBerry, WebOS, Windows Mobile, and Symbian apps. User experience professional Theresa Neil (Designing Web Interfaces) walks you through design patterns in 10 separate categories, including anti-patterns. Whether you’re designing a simple iPhone application or one that’s meant to work for every popular mobile OS on the market, these patterns provide solutions to common design challenges. This print edition is in full color. Pattern categories include: Navigation: get patterns for primary and secondary navigation Forms: break the industry-wide habits of bad form design Tables and lists: display only the most important information Search, sort, and filter: make these functions easy to use Tools: create the illusion of direct interaction Charts: learn best practices for basic chart design Invitations: invite users to get started and discover features Help: integrate help pages into a smaller form factor "It’s a super handy catalog that I can flip to for ideas." —Bill Scott, Senior Director of Web Development at PayPal "Looks fantastic." —Erin Malone, Partner at Tangible UX "Just a quick thanks to express my sheer gratitude for this pub, it has been a guide for me reworking a design for an app already in production!" —Agatha June, UX designer

Download or read book Mobile Applications written by Valentino Lee and published by Prentice Hall. This book was released on 2004 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spending on worldwide wireless and mobile network infrastructure will rise by $10.7 billion between 2002 and 2007. In this new resource, the authors provide technology-independent principles and practices that no mobile application developer should be without. This book illustrates specific details of mobile technologies and includes mobile application case studies.

Download or read book Machine Learning Projects for Mobile Applications written by Karthikeyan NG and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bring magic to your mobile apps using TensorFlow Lite and Core ML Key FeaturesExplore machine learning using classification, analytics, and detection tasks.Work with image, text and video datasets to delve into real-world tasksBuild apps for Android and iOS using Caffe, Core ML and Tensorflow LiteBook Description Machine learning is a technique that focuses on developing computer programs that can be modified when exposed to new data. We can make use of it for our mobile applications and this book will show you how to do so. The book starts with the basics of machine learning concepts for mobile applications and how to get well equipped for further tasks. You will start by developing an app to classify age and gender using Core ML and Tensorflow Lite. You will explore neural style transfer and get familiar with how deep CNNs work. We will also take a closer look at Google’s ML Kit for the Firebase SDK for mobile applications. You will learn how to detect handwritten text on mobile. You will also learn how to create your own Snapchat filter by making use of facial attributes and OpenCV. You will learn how to train your own food classification model on your mobile; all of this will be done with the help of deep learning techniques. Lastly, you will build an image classifier on your mobile, compare its performance, and analyze the results on both mobile and cloud using TensorFlow Lite with an RCNN. By the end of this book, you will not only have mastered the concepts of machine learning but also learned how to resolve problems faced while building powerful apps on mobiles using TensorFlow Lite, Caffe2, and Core ML. What you will learnDemystify the machine learning landscape on mobileAge and gender detection using TensorFlow Lite and Core MLUse ML Kit for Firebase for in-text detection, face detection, and barcode scanningCreate a digit classifier using adversarial learningBuild a cross-platform application with face filters using OpenCVClassify food using deep CNNs and TensorFlow Lite on iOS Who this book is for Machine Learning Projects for Mobile Applications is for you if you are a data scientist, machine learning expert, deep learning, or AI enthusiast who fancies mastering machine learning and deep learning implementation with practical examples using TensorFlow Lite and CoreML. Basic knowledge of Python programming language would be an added advantage.