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*Immediately accessible to anyone who must design a relational data model—regardless of prior experience *Concise, straightforward explanations to a usually complex/ jargon-rich discipline *Examples are based on extensive author experience modeling for real business systems
PC Card (or PCMCIA) technology allows computers to interface with each other using less space than conventional interfaces. Currently, most applications are in the personal computing market, to enhance peripheral capabilities. As the industry changes, the applications will grow outside of the PC arena, into areas such as medical instrumentation and digital cameras, where peripheral expansion was previously unavailable. One of the advantages of this book over others is that it does more than repeat standards or list suppliers. It actually describes and demonstrates design examples which can be applied to projects. This makes it a useful guide design engineers who want to take advantage of the PC Card technology in their work. Faisal Haque is Design Engineering Manager at Baynetworks in Santa Clara, California and has been involved in PCMCIA design for the past four years. He is currently the chair of the PC Card ATA Working Group and has contributed to the 1995 PC Card Standard.A designer's guide to PC Card (PCMCIA). Design and software implementation examples.Coverage includes Release 2.1 as well as PC Card'95.
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Introduces CRC (Class, Responsibility, Collaborator) cards and describes how they can be used in interactive sessions to develop an object-oriented model of an application.
Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.
This book covers all you need to know to model and design software applications from use cases to software architectures in UML and shows how to apply the COMET UML-based modeling and design method to real-world problems. The author describes architectural patterns for various architectures, such as broker, discovery, and transaction patterns for service-oriented architectures, and addresses software quality attributes including maintainability, modifiability, testability, traceability, scalability, reusability, performance, availability, and security. Complete case studies illustrate design issues for different software architectures: a banking system for client/server architecture, an online shopping system for service-oriented architecture, an emergency monitoring system for component-based software architecture, and an automated guided vehicle for real-time software architecture. Organized as an introduction followed by several short, self-contained chapters, the book is perfect for senior undergraduate or graduate courses in software engineering and design, and for experienced software engineers wanting a quick reference at each stage of the analysis, design, and development of large-scale software systems.
This book includes a deep-dive into the mindsets and methods of Co-design. It draws on the authors' experience across Australia and New Zealand, as well as design, trauma-informed practice, collective learning and social movements.
Software design patterns are known to play a vital role in enhancing the quality of software systems while reducing development time and cost. However, the use of these design patterns has also been known to introduce problems that can significantly reduce the stability, robustness, and reusability of software. This book introduces a new process fo