1,859 research outputs found

    MiRE: A minimal rule engine for context-aware mobile devices

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    Context-aware services have been introduced into mobile devices, such as cellular phones. Context management and rule processing are the key research issues for the resource-limited devices to have context-aware capability. In this paper, we introduce a context-aware rule processing engine, called MiRE (minimal rule engine). The engine implements the minimum cores of the conventional rule processing facilities and some special policies to achieve resource-saving and light-weight inference engine suitable for resource-limited mobile devices. MiRE, as a part of context-aware middleware system, provides a flexible architecture to adopt various context-aware applications while rules and contexts are dynamically registered at run-time. It maintains the amount of context (i.e., facts) and rules to be optimal in order to save computing resources and processing time. Its design strategy allows MiRE to be conveniently equipped into resource-limited context-aware mobile devices. The performance evaluation carried out on a context-aware cellular phone shows the intended efficiency has been well achieved

    ANALYSIS OF THE IMPLEMENTATION OF THE SIMPLE SALARY SIM APPLICATION IN GROGOL DISTRICT, SUKOHARJO DISTRICT

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    Abstract : Implementation of Civil Servant Salary SIM in the Administrative Service Office of the Education Unit, Grogol District, Sukoharjo Regency. This research is conducted in this analysis which contains the use of the Government Salary SIM application which is implemented in all regions as a means of calculating, storing and maintaining civil servants' data based on computerization and connected to the government-owned Internet network. The research method used was interview, application observation and literature study. The system design that can be concluded by the author is using Context Diagram, DAD, HIPO and input and output system design. Keywords : Information System, Education Office, Employees and Salaries

    Accelerated norm-optimal iterative learning control

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    This paper proposes a novel technique for accelerating the convergence of the previously published norm-optimal iterative learning control (NOILC) methodology. The basis of the results is a formal proof of an observation made by the first author, namely that the NOILC algorithm is equivalent to a successive projection algorithm between linear varieties in a suitable product Hilbert space. This leads to two proposed accelerated algorithms together with well-defined convergence properties. The results show that the proposed accelerated algorithms are capable of ensuring monotonic error norm reductions and can outperform NOILC by more rapid reductions in error norm from iteration to iteration. In particular, examples indicate that the approach can improve the performance of NOILC for the problematic case of non-minimum phase systems. Realisation of the algorithms is discussed and numerical simulations are provided for comparative purposes and to demonstrate the numerical performance and effectiveness of the proposed methods

    The treatment of Italy and Italians in D.H. Lawrence's writings

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    This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field
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