An algorithm for time division multiple access (TDMA) is found to be applicable in converting existing distributed algorithms into a model that is consistent with sensor networks. Such a TDMA service needs to be self-...
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Increasingly, software must adapt its behavior in response to changes in the supporting computing, communication infrastructure, and in the surrounding physical environment. Since most existing software was not design...
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Many statechart-based testing strategies result in specifying a set of paths to be executed through a (flattened) statechart. These techniques can usually be easily automated so that the tester does not have to go thr...
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Operational risk is an important, complex, and difficult, criterion to consider during any form of organizational decision making. In practice (1) complexity typically arises from: the use of a variety of risk related...
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Operational risk is an important, complex, and difficult, criterion to consider during any form of organizational decision making. In practice (1) complexity typically arises from: the use of a variety of risk related indicators;the use of multiple heterogeneous measurement scales;measurement uncertainty;varying levels of measurement precision;and, the widespread effect of each measurement;(2) difficulties arise due to the: time bound nature of the decision making process;and, the availability and interpretation of risk-related measurements. To help address these issues, we propose a conceptual framework to support and minimize the level of analyst involvement during the management of operational risk specified in organizational models. This is achieved by propagating/analyzing risk-related evaluations across descriptions of distributed, inter-dependant and mission critical work activities.
We introduce the notion of an actor eco-system a framework that addresses the design-time requirements of building multi-actor (multi-agent) systems such as supply chains, business networks, virtual organizations etc....
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Requirements acquisition is widely recognized as a hard problem, requiring signicant investments in time and effort. Given the availability of large vol- umes of data and of relatively cheap instrumentation for data a...
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Message Passing is a popular mechanism used to enable inter-process communication in parallel and distributed computing. Many complex scientific and engineering applications that are executed on clusters have been dev...
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Complex business networks such as supply chains, withcross-organizational workflows of even greater complexity,are becoming increasingly common. The problem of engineeringcross-organizational processes in a manner tha...
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Our ability to collect, manage and analyze vast amounts of data has led some to predict the demise of theory. This has important implications for research in agent systems. It can mean that specifications of agent int...
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Rock tunnel engineering (RTE) plays a crucial role in modern infrastructure development. The development of artificial intelligence (AI) is able to drive transformative advances in RTE. This review provides an in-dept...
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Rock tunnel engineering (RTE) plays a crucial role in modern infrastructure development. The development of artificial intelligence (AI) is able to drive transformative advances in RTE. This review provides an in-depth analysis of the AI application in RTE. Through a comprehensive examination of existing literature, we explore how AI technologies have revolutionised various aspects of RTE, including construction methodology, rock parameter estimation, hazard disaster management during construction, and tunnel operation. In addition, we provide an in-depth study of the synergies between various AI algorithms and related open datasets. This work also outlines promising future research directions for the AI application in RTE, aiming to inspire further advancements in this emerging field. In conclusion, this review underscores the positive influence of AI on RTE, emphasising its capacity to elevate efficiency, accuracy, and safety standards throughout various phases of tunnel projects. The convergence of AI with RTE holds immense promise for advancing the field and ensuring the success and sustainability of future tunnel infrastructure endeavours.
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