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The System of Objects is a tour de force—a theoretical letter-in-a-bottle tossed into the ocean in 1968, which brilliantly communicates to us all the live ideas of the day. Pressing Freudian and Saussurean categories into the service of a basically Marxist perspective, The System of Objects offers a cultural critique of the commodity in consumer society. Baudrillard classifies the everyday objects of the “new technical order” as functional, nonfunctional and metafunctional. He contrasts “modern” and “traditional” functional objects, subjecting home furnishing and interior design to a celebrated semiological analysis. His treatment of nonfunctional or “marginal” objects focuses on antiques and the psychology of collecting, while the metafunctional category extends to the useless, the aberrant and even the “schizofunctional.” Finally, Baudrillard deals at length with the implications of credit and advertising for the commodification of everyday life. The System of Objects is a tour de force of the materialist semiotics of the early Baudrillard, who emerges in retrospect as something of a lightning rod for all the live ideas of the day: Bataille’s political economy of “expenditure” and Mauss’s theory of the gift; Reisman’s lonely crowd and the “technological society” of Jacques Ellul; the structuralism of Roland Barthes in The System of Fashion; Henri Lefebvre’s work on the social construction of space; and last, but not least, Guy Debord’s situationist critique of the spectacle.
First uniform treatment of moving objects databases, the technology that supports GPS and RFID data analysis.
Emphasizing object-oriented design, this text covers traditional analysis and design paradigms. It stresses learn-by-doing with the concepts supported by a case study, exercises, and a companion Project Workbook. The projects in the workbook are based on the use of a CASE tool. The coverage includes topics, such as RAD, JAD, and Client/Server.
Distributed Object Computing teaches readers the fundamentals of CORBA, the leading architecture for design of software used in parallel and distributed computing applications. Since CORBA is based on open standards, it is the only effective way to learn object-oriented programming for distributed systems. This language independent book allows material to be taught using Java, C++ or other Object Oriented Programming Languages.
Interconnecting Smart Objects with IP: The Next Internet explains why the Internet Protocol (IP) has become the protocol of choice for smart object networks. IP has successfully demonstrated the ability to interconnect billions of digital systems on the global Internet and in private IP networks. Once smart objects can be easily interconnected, a whole new class of smart object systems can begin to evolve. The book discusses how IP-based smart object networks are being designed and deployed. The book is organized into three parts. Part 1 demonstrates why the IP architecture is well suited to smart object networks, in contrast to non-IP based sensor network or other proprietary systems that interconnect to IP networks (e.g. the public Internet of private IP networks) via hard-to-manage and expensive multi-protocol translation gateways that scale poorly. Part 2 examines protocols and algorithms, including smart objects and the low power link layers technologies used in these networks. Part 3 describes the following smart object network applications: smart grid, industrial automation, smart cities and urban networks, home automation, building automation, structural health monitoring, and container tracking. - Shows in detail how connecting smart objects impacts our lives with practical implementation examples and case studies - Provides an in depth understanding of the technological and architectural aspects underlying smart objects technology - Offers an in-depth examination of relevant IP protocols to build large scale smart object networks in support of a myriad of new services
Taking a unique approach to systems analysis and design, this insightful book provides learners with a critical personal framework for considering and developing knowledge and practice of systems analysis and design. Each chapter begins by highlighting what can be learned on its completion and ends with a critical skills development section containing activities, tasks and discussion questions. Chapters cover: * systems analysis and design in concept and action * structured data modelling * making systems analysis and design inclusive. Although the discussion and examples in this text are drawn primarily from business information systems, the lessons apply to both government and healthcare information systems and to systems development in general. Critical Systems Analysis and Design makes a complex area of study accessible and relevant and as such is an indispensable textbook for both advanced students and professionals concerned with the innovation of information systems.
At the time of writing (mid-October 1998) we can look back at what has been a very successful ECOOP’98. Despite the time of the year – in the middle of what is traditionally regarded as a holiday period – ECOOP'98 was a record breaker in terms of number of participants. Over 700 persons found their way to the campus of the Brussels Free University to participate in a wide range of activities. This 3rd ECOOP workshop reader reports on many of these activities. It contains a careful selection of the input and a cautious summary of the outcome for the numerous discussions that happened during the workshops, demonstrations and posters. As such, this book serves as an excellent snapshot of the state of the art in the field of object oriented programming. About the diversity of the submissions A workshop reader is, by its very nature, quite diverse in the topics covered as well as in the form of its contributions. This reader is not an exception to this rule: as editors we have given the respective organizers much freedom in their choice of presentation because we feel form follows content. This explains the diversity in the types of reports as well as in their lay out.
The subject “Systems sciences and cybernetics” is the outcome of the convergence of a number of trends in a larger current of thought devoted to the growing complexity of (primarily social) objects and arising in response to the need for globalized treatment of such objects. This has been magnified by the proliferation and publication of all manner of quantitative scientific data on such objects, advances in the theories on their inter-relations, the enormous computational capacity provided by IT hardware and software and the critical revisiting of subject-object interaction, not to mention the urgent need to control the efficiency of complex systems, where “efficiency” is understood to mean the ability to find a solution to many social problems, including those posed on a planetary scale. The result has been the forging of a new, academically consolidated scientific trend going by the name of Systems Theory and Cybernetics, with a comprehensive, multi-disciplinary focus and therefore apt for understanding realities still regarded to be inescapably chaotic. This subject entry is subdivided into four sections. The first, an introduction to systemic theories, addresses the historic development of the most commonly used systemic approaches, from new concepts such as the so-called “geometry of thinking” or the systemic treatment of “non-systemic identities” to the taxonomic, entropic, axiological and ethical problems deriving from a general “systemic-cybernetic” conceit. Hence, the focus in this section is on the historic and philosophical aspects of the subject. Moreover, it may be asserted today that, beyond a shadow of a doubt, problems, in particular problems deriving from human interaction but in general any problem regardless of its nature, must be posed from a systemic perspective, for otherwise the obstacles to their solution are insurmountable. Reaching such a perspective requires taking at least the following well-known steps: a) statement of the problem from the determinant variables or phenomena; b) adoption of theoretical models showing the interrelationships among such variables; c) use of the maximum amount of – wherever possible quantitative – information available on each; d) placement of the set of variables in an environment that inevitably pre-determines the problem. That epistemology would explain the substantial development of the systemic-cybernetic approach in recent decades. The articles in the second section deal in particular with the different methodological approaches developed when confronting real problems, from issues that affect humanity as a whole to minor but specific questions arising in human organizations. Certain sub-themes are discussed by the various authors – always from a didactic vantage –, including: problem discovery and diagnosis and development of the respective critical theory; the design of ad hoc strategies and methodologies; the implementation of both qualitative (soft system methodologies) and formal and quantitative (such as the “General System Problem Solver” or the “axiological-operational” perspective) approaches; cross-disciplinary integration; and suitable methods for broaching psychological, cultural and socio-political dynamisms. The third section is devoted to cybernetics in the present dual meaning of the term: on the one hand, control of the effectiveness of communication and actions, and on the other, the processes of self-production of knowledge through reflection and the relationship between the observing subject and the observed object when the latter is also observer and the former observed. Known as “second order cybernetics”, this provides an avenue for rethinking the validity of knowledge, such as for instance when viewed through what is known as “bipolar feedback”: processes through which interactions create novelty, complexity and diversity. Finally, the fourth section centres around artificial and computational intelligence, addressing sub-themes such as “neural networks”, the “simulated annealing” that ranges from statistical thermodynamics to combinatory problem-solving, such as in the explanation of the role of adaptive systems, or when discussing the relationship between biological and computational intelligence.