An existing data exchange protocols (DEPs), that are applied at physical and channel levels of computer networks are analysed in this article. The principles of structures and components formation of standard DEPs wit...
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ISBN:
(纸本)9781728104492
An existing data exchange protocols (DEPs), that are applied at physical and channel levels of computer networks are analysed in this article. The principles of structures and components formation of standard DEPs with bit- and byte-oriented synchronization are outlined. The efficiency of application of (2(k)+1)-ary signals ensembles on the basis of amplitude, frequency, phase, functional, broadband correlation and entropy manipulation is explored. The prospect of protocols classes expanding for dialogue dataexchange on the physical and channel levels of computer networks is substantiated. New DEPs structures are proposed, in which there are no bit stuffing operations, as well as the errors detection and correction at the physical level in the process of data packets transmitting.
Multiple parties observing correlated data seek to recover each other's data and attain omniscience. To that end, they communicate interactively over a noiseless broadcast channel - each bit transmitted over this ...
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Multiple parties observing correlated data seek to recover each other's data and attain omniscience. To that end, they communicate interactively over a noiseless broadcast channel - each bit transmitted over this channel is received by all the parties. We give a universal interactive communication protocol, termed the recursive dataexchange protocol (RDE), which attains omniscience for any sequence of data observed by the parties and provide an individual sequence guarantee of performance. As a by-product, for observations of length n, we show the universal rate optimality of RDE up to an O(n(-1/2) root log n) term in a generative setting where the data sequence is independent and identically distributed (in time). Furthermore, drawing on the duality between omniscience and secret key agreement due to Csiszar and Narayan, we obtain a universal protocol for generating a multiparty secret key of rate at most O(n(-1/2) root log n) less than the maximum rate possible. A key feature of RDE is its recursive structure whereby when a subset A of parties recover each-other's data, the rates appear as if the parties have been executing the protocol in an alternative model where the parties in A are collocated.
For the benefits of embedded micro generators to be fully realised, they need to be operated and managed as an integral part of the national power system. To achieve this requires an overall system model representing ...
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For the benefits of embedded micro generators to be fully realised, they need to be operated and managed as an integral part of the national power system. To achieve this requires an overall system model representing the generators individually and in aggregate that can be maintained by the controlling utility; a telecommunications medium over which the generators may be controlled and the model updated; and a set of control and data exchange protocols between the utility and the generators. The current mobile phone technology, Generale Systeme Mobile (GSM) and its successor the Universal Mobile Telecommunications System (UMTS), also known as 3G, are capable of supporting bi-directional and broadcast data communications over most of the UK at low cost, by making use of the overnight period when there is little traffic. The particular features of GSM that are well suited to this problem are the Short Message Services (SMS). These comprise SMS Point to Point (SMS-PP), the popular text messaging service, and Cell Broadcast (SMS-CB). This paper discusses the required protocols and the proposed message formats for managing embedded generation.
The purpose of this paper is to provide a multifacetted approach to interactive analysis and modeling of time series, signals, and dynamical data sets. The models use statistical regression analysis and are built in a...
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ISBN:
(纸本)081944667X
The purpose of this paper is to provide a multifacetted approach to interactive analysis and modeling of time series, signals, and dynamical data sets. The models use statistical regression analysis and are built in an incremental way from a set of simple functional units. The analysis is supported by data visualization and on-line adaptive tutorials accessed on the World Wide Web. This work extends our results obtained for the Landsat-5 and Landsat-7 calibration data. The another objective is to educate the user about available mathematical models and also to allow the user to build those models interactively through applets prepared by the authors on a Web server. These models may be constructed for the user's own data set. The approach is illustrated using the calibration data sets for the Landsat sensors, we also discuss agent communication framework of regression models and calibration data. However, the same integrated approach can be used for other data domains. This type of approach is consistent with other recent activities regarding semantic web.
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