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Figure 12.1 shows how secret key methods work. Sender A acquires key KAB, which has been set up for communication with the receiver B. It then applies the encryption function to the message M that is to be transmitted and parameterizes the encryption with KAB. This results in an encrypted message MKAB , which is transmitted to the receiver. The receiver B also has to acquire the same keyKAB to decrypt anymessage received from A and it does so _ byapplying the inverse encryption function f 1 to the encrypted message MKAB and the key KAB. F igure 12.1 also suggests how to employ secret key methods to secure the communication between distributed objects. To implement a request, the client object is the message sender and the server object is the message receiver. The encryption and decryption is performed after the stubs have completed request marshalling and unmarshalling and it has been recognized that the server object is not local. Then the marshalled object request is transmitted in an encrypted form via the network and secured against eavesdropping and message tampering. When receiving the message on the server-side, the message is decrypted and then passed on to the server stub. The same keycan then be used for the reply message. We also note that encryption can be kept entirely transparent for client and server



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All of our benchmark companies create alignment. All six companies have the unique ability to focus on their core areas of strength. These core areas are supported by their core competencies (what produces competitive advantage), which are linked to specific capabilities that each company and its people have. We uncovered an interesting truth among the benchmarks. HG/HI companies are dedicated to learning, but not about everything; they are focused on continued learning around the areas that will differentiate them in their market. All six companies consistently measure and report on their core areas. They measure the critical few, always concentrating on their specific areas of focus. They can articulate their growth competencies and capabilities because they are constantly measuring their progress in their focus areas. RE/MAX weighs in as a good example of alignment. It reports only on





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Whether to use more structured or looser approaches depends upon your style. It may be enough for you to keep a list of projects you re working on. Then, when you re deciding what to do, check the project list and go with inspiration. Some people like a very regimented approach: entering next actions for every current project, capturing every last to-do from their paperwork pile in their unified personal information management system, and doing weekly or even daily reviews of their to-do lists. Others choose a looser approach, leaving some to-dos as email inbox items, others as papers piled on the desk, and still others written on sticky notes stuck to their computer monitor. It doesn t matter so much how you capture your tasks as long as you don t just rely on your memory. If you don t have a PDA or smart phone that you can add tasks into while on the go, carry a notebook or pile of index cards so you can jot down reminders to yourself.

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Psychologists have a primary obligation and take reasonable precautions to protect confidential information obtained through or stored in any medium, recognizing that the extent and limits of confidentiality may be regulated by law or established by institutional rules or professional or scientific relationship. (See also Standard 2.05, Delegation of Work to Others.)

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Axioms for conditional independence were stated first by [Dawid 1979], but were also independently suggested later by [Pearl and Paz 1987]. Definition 4.1.1 Let U be a set of (mathematical) objects and ( | ) a three-place relation of subsets of U. Furthermore, let W, X, Y, and Z be four disjoint subsets of U. The four statements symmetry: weak union: contraction: (X Y | Z) (Y X | Z) (W X Y | Z) (X Y | Z W) (X Y | Z W) (W Y | Z) (W X Y | Z) decomposition: (W X Y | Z) (W Y | Z) (X Y | Z)

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3.1. Summary This chapter is intended to provide a survey of the algorithms and paradigms for systems based on cooperating objects (COs). The aim of the chapter is to identify the areas that need further research and the most promising design approaches in the context of CO-based systems. The chapter is structured in three main parts. The rst part, which encompasses section 3.2 and section 3.3, introduces the subject considered in this chapter and describes the thematic areas that have been considered in the analysis of the literature. The second part, consisting of sections 3.4 3.7, provides an overview of the most common and interesting solutions adopted in the thematic areas previously introduced. Finally, the third and last part of this chapter, which extends over sections 3.8 3.10, provides a survey of the literature and identi es the critical issues and the most promising design approaches in the context of COs. 3.2. Introduction 3.2.1. Aim of the chapter The CO paradigm embraces different elds, such as traditional embedded systems, wireless sensors networks (WSNs), ubiquitous and pervasive computing systems, and so on. In general, such systems have very different functional characteristics, though some common features do exist, such as the hardware and software modules they are built upon, the use of wireless communication, the dynamic and unpredictable system topology, and so on. As a consequence of such heterogenity, the research activity

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