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Titlebook: Innovative Computing Technology; First International Pit Pichappan,Hojat Ahmadi,Ezendu Ariwa Conference proceedings 2011 Springer-Verlag G

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樓主: Coronary-Artery
41#
發(fā)表于 2025-3-28 18:00:18 | 只看該作者
42#
發(fā)表于 2025-3-28 18:46:45 | 只看該作者
Design an Adaptive Competency-Based Learning Web Service According to IMS-LD Standardpropriate order in a short time and produces relevant results. Thus learning system can lead the learner to gradually acquire a competency taking into account its needs and predispositions. The system will be implemented as an activity in a pedagogical scenario defined responding to the learner’s ne
43#
發(fā)表于 2025-3-28 23:13:13 | 只看該作者
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發(fā)表于 2025-3-29 06:24:50 | 只看該作者
Analysis of Quality Driven Software Architectures characterizes vocabularies and concepts of the area, with exhibiting a comparison of the two main techniques. In the first technique, architectural tactics are represented and their semantics is clearly defined as a UML-based pattern specification notation called RBML. Given a set of non-functiona
45#
發(fā)表于 2025-3-29 09:36:29 | 只看該作者
Using Power Spectral Density for Fault Diagnosis of Belt Conveyor ElectromotorThe objective of this research was to investigate the correlation between vibration analysis, PSD and fault diagnosis. Vibration data had regularly collected. We calculated G.(Root-Mean-Square Acceleration)and PSD of Driven End (DE) and None Driven End (NDE) of an electromotor in healthy and unhealt
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發(fā)表于 2025-3-29 11:30:00 | 只看該作者
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48#
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發(fā)表于 2025-3-30 02:34:43 | 只看該作者
Resolving Impassiveness in Service Oriented Architectureescription of published services. UDDI has an important defect called impassiveness that means the lack of consumer interaction with UDDI after he/she found some desired service. This means that consumers are not notified when some deletion or change of a service happens in UDDI. This paper aims to
50#
發(fā)表于 2025-3-30 06:32:34 | 只看該作者
A Neuro-IFS Intelligent System for Marketing Strategy Selectionnd data mining techniques. In this paper, we propose a neuro-IFS inference system for marketing strategy selection. For this purpose, first we develop an IFS inference system which operates on rules whose antecedents, including industry attractiveness and enterprise strength, have membership and non
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