We reveal the cyclic nature of idempotency in the case of modulo 2/sup n/-1 addition. Then based on this property, we derive for each n, a family of minimum logic depth modulo 2/sup n/-1 adders, which allows several t...
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We reveal the cyclic nature of idempotency in the case of modulo 2/sup n/-1 addition. Then based on this property, we derive for each n, a family of minimum logic depth modulo 2/sup n/-1 adders, which allows several trade-offs between the number of operators, the internal wire length, and the fanout of internal nodes. Performance data, gathered using static CMOS implementations, reveal that the proposed architectures outperform all previously reported ones in terms of area and/or operation speed.
We present the design and the basic features of a computer learning environment for programming and C using geometrical objects (L.E.C.G.O.). The design of this environment was the result of modeling. Basic aspects of...
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We present the design and the basic features of a computer learning environment for programming and C using geometrical objects (L.E.C.G.O.). The design of this environment was the result of modeling. Basic aspects of constructivism have also been taken into account in its design. L.E.C.G.O. provides pupils with opportunities to: a) express their problem solving strategies in multiple representation systems starting from intuitive representations and moving gradually to more sophisticated ones, b) solve a variety of familiar and meaningful problems, and c) overcome the cognitive load of the syntactical rules of programming in C by using appropriately designed computer-based authoring tools. A similar environment has not yet been reported.
We discuss our experience form porting the OpenH323 platform to IPv6. We briefly discuss the structure of the platform, and we present the various problems we faced and choices we made, regarding the easiest approach ...
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We discuss our experience form porting the OpenH323 platform to IPv6. We briefly discuss the structure of the platform, and we present the various problems we faced and choices we made, regarding the easiest approach to the porting procedure, the compatibility with earlier, IPv4-only versions of the platform, the existence of tools that could aid us with the porting task and the verification of results. We believe that the results of our effort can serve as guidelines for other similar projects and we present a general methodology which might be applicable to similar porting projects.
The increased need for quality of service (QoS) in today's networks has concentrated a lot of research and implementation efforts. Particular interest exists for the exploitation of the DiffServ framework towards ...
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The increased need for quality of service (QoS) in today's networks has concentrated a lot of research and implementation efforts. Particular interest exists for the exploitation of the DiffServ framework towards the provision of qualitative services in MAN and WAN worldwide. Although individual mechanisms have been widely investigated, not many references to studies combining all levels of priority and QoS provisioning exist. This work aims at presenting a thorough and unified approach to the dimensioning and provisioning of a high priority service for high-quality demanding traffic over a MAN/WAN environment. Our approach anticipates for bounds in specific quality metrics and is demonstrated by the experimental case-study of a high-priority service over a MAN topology.
A lot of research work has recently focused on the exploitation of the DiffServ framework towards building reliable networking services that provide deterministic quality guarantees. In this work we are attempting to ...
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A lot of research work has recently focused on the exploitation of the DiffServ framework towards building reliable networking services that provide deterministic quality guarantees. In this work we are attempting to devise a DiffServ-based service model for relative differentiation of traffic in a network serving aggregated traffic. The service model proposed aims at providing a minimum capacity during congestion and a bounded average end-to-end delay to profile-conforming traffic, obtaining thus a relatively better performance when compared to the best-effort service. We provide the framework on which the proposed service model is based and we present results from its deployment in a simulation environment.
A new efficient method for test set embedding based on phase shifters was recently proposed This method suffers from high average and peak power consumption. In this work we propose a new phase shifter-based test set ...
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A new efficient method for test set embedding based on phase shifters was recently proposed This method suffers from high average and peak power consumption. In this work we propose a new phase shifter-based test set embedding method, which, by using interleaving and two LFSRs that change state in a non-overlapping way, significantly reduces the average and peak power consumption.
In this paper a new blind image-adaptive watermarking technique is proposed. The main contributions in this work are the following. First, a new spatial mask taking into account the Human Visual System (HVS) propertie...
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In this paper a new blind image-adaptive watermarking technique is proposed. The main contributions in this work are the following. First, a new spatial mask taking into account the Human Visual System (HVS) properties, is proposed. The mask is constructed based on the local variance of the cover image prediction error sequence. Second, an improved detection scheme has been developed, which is blind, in the sense that no knowledge concerning the cover image is required. The similarity measure used in the detector is the normalized correlation between the reproduced watermark and the prediction error of the watermarked and possibly attacked image (instead of the image itself). Due to the above modifications the proposed technique exhibits superior performance as compared to the conventional HVS-based blind adaptive watermarking. This performance improvement has been justified theoretically and verified through extensive simulations. In particular, the proposed technique is robust to additive white noise, JPEG and Wavelet compression, filtering etc.
Taxonomic reasoning can be a useful organization paradigm to address issues dealing with the management of WWW bookmarks. Management of WWW bookmarks comprise one of the most frequent activities of WWW users. In this ...
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INADA is an enhanced C++ persistent programming language, compliant with ODMG standard. INADA supports multiple-type objects facility which enables any persistent objects to obtain any type at any time the type is nee...
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ISBN:
(纸本)9781581136241
INADA is an enhanced C++ persistent programming language, compliant with ODMG standard. INADA supports multiple-type objects facility which enables any persistent objects to obtain any type at any time the type is needed, and to lose any unnecessary types dynamically. Using the facility, we can model changes in roles/aspects which a real-world entity possesses. Access to a multiple-type object needs to select one from among its own types. The selection is conventionally left to an object accessing a multiple-type object, A real-world entity is, however, flexible enough to decide its roles/aspects depending on a meeting entity whom it exchanges messages with. From the consideration, this paper proposes AccessEE Controlled Type Selection (AEE) method in which a multiple-type object selects one from among its own types depending on an object accessing it. The implementation of AEE method in INADA is also presented, which does not need any modification to the language specification and the processing system of INADA.
In this paper, statistical pattern recognition method based on AR model was introduced to discriminate the electroencephalograph (EEG) signals recorded during right and left motor imagery. And learning methods were in...
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In this paper, statistical pattern recognition method based on AR model was introduced to discriminate the electroencephalograph (EEG) signals recorded during right and left motor imagery. And learning methods were investigated. Also, correlation between C3 and C4 signals were investigated, and thereby which AR (combine AR or multivariable AR) model must be used in each EEC recording method.
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