Software and Network Engineering by Yuya Yokoyama, Teruhisa Hochin, Hiroki Nomiya (auth.), Roger

By Yuya Yokoyama, Teruhisa Hochin, Hiroki Nomiya (auth.), Roger Lee (eds.)

The sequence "Studies in Computational Intelligence" (SCI) publishes new advancements and advances within the a number of parts of computational intelligence – quick and with a top quality. The rationale is to hide the idea, functions, and layout equipment of computational intelligence, as embedded within the fields of engineering, desktop technological know-how, physics and lifestyles technology, in addition to the methodologies in the back of them. The sequence comprises monographs, lecture notes and edited volumes in computational intelligence spanning the parts of neural networks, connectionist structures, genetic algorithms, evolutionary computation, synthetic intelligence, mobile automata, self-organizing structures, smooth computing, fuzzy platforms, and hybrid clever structures. severe to either participants and readers are the quick book time and world-wide distribution - this allows a fast and extensive dissemination of study results.

The objective of the 1st ACIS overseas Symposium on software program and community Engineering hung on December 19-20, 2012 at the Seoul nationwide collage campus, Seoul, Korea is to compile scientist, engineers, machine clients, scholars to proportion their stories and trade new principles, and examine effects approximately all features (theory, purposes and instruments) of software program & community engineering, and to debate the sensible demanding situations encountered alongside the best way and the recommendations followed to unravel them

The symposium organizers chosen the simplest 12 papers from these papers authorised for presentation on the symposium so one can submit them during this quantity. The papers have been selected according to assessment ratings submitted by way of contributors of this system committee, and underwent additional rigorous rounds of review.

The symposium organizers chosen the simplest 12 papers from these papers authorised for presentation on the symposium with the intention to submit them during this quantity. The papers have been selected in response to overview rankings submitted by means of contributors of this system committee, and underwent additional rigorous rounds of review.

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First, it must acquire situational information from sensors. g. a behavior in a certain location. Moreover, interpreting high-level context from low-level context is essential to build mobile applications with context-awareness. Here, we specify a sensor as an entity that detects changes related to a user’s context and converts this information into a description of the context. We assume that each sensor contains a context wrapper transforming a sensed signal into a XML 44 S. -C. Byun description.

This is due to most requests are only for a small group of pages and when the cache size is getting bigger, the small group of pages have always been in the cache and therefore, hit rates are not dramatically increased with cache size. In all cases, the pART1 algorithm outperformed the original ART algorithm in terms of cache hit ratio, even the improvements are not very significant. It also suggests that pART1 likely performs better in other possible request probabilities. 2 Real World Data The simulation program is also tested using real world data collected from the Trent University digital library.

Since terms are not all equally important to filter content, we assign them relative importance according to the field. e. content type and the supported function. Based on W = {Ws |s ∈ S} where Ws is the importance factor assigned to terms in field s, the weight ui is assigned by using Eq. 3. ui = ∑Nk=1 Ws if ti includes N number of fields; (N ≤ 1) 0 if ti does not include any field. (3) A User-Adaptive Augmented Reality System in Mobile Computing Environment 47 The Content Adaptor evaluates the degree of relevance between the preferences and available content for the context: it determines the similarity between the vector for content preferences and that for the retrieved content.

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