• Journal of the Institute of Convergence Signal Processing
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• v.10 no.4
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• pp.225-232
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• 2009

Context-aware technologies for ubiquitous computing are necessary to study the representation of gathered context-information appropriately, the understanding of user's intention using context-information, and the offer of pertinent services for users. In this paper, we propose the WS-CAM(Web Services based Context-Aware Middleware) framework for context-aware computing. WS-CAM provides ample power of expression and inference mechanisms to various context-information using an ontology-based context model. We also consider that WS-CAM is the middleware-independent structure to adopt web services with characteristic of loosely coupling as a matter of communication of context-information. In this paper, we describe a scenario for lecture services based on the ubiquitous computing e e e e e e to verify the utilization of WS-CAM We also show an example of middleware-independent system expansion to display the merits of web-based services. WS-CAM for lecture services represented context-information itodomaits as OWL-based ontology model effectively, and we confirmed the information is inferred to high level context-information by user-defined rules. We also confirmed the context-information is transferred to application services middleware-independently using various web methods provided by web services.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.427-432
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• 2005

This paper is concerned with a simultaneous design of TSK (Takagi-Sugeno-Kang)-linguistic fuzzy models with uncertain model output and the computationally efficient representation. For this purpose, we use the fundamental idea of linguistic models introduced by Pedrycz and develop their comprehensive design framework. The design process consists of several main phases such as (a) the automatic generation of the linguistic contexts by probabilistic distribution using CDF (conditional density function) and PDF (probability density function) (b) performing context-based fuzzy clustering preserving homogeneity based on the concept of fuzzy granulation (c) augment of bias term to compensate bias error (d) combination of TSK and linguistic context in the consequent part. Finally, we contrast the performance of the enhanced models with other fuzzy models for automobile MPG predication data and coagulant dosing process in a water purification plant.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.242-248
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• 2004

Personalized reminder systems have to identify the user's current needs dynamically and proactively based on the user's current context. However, need identification methodologies and their feasible architectures for personalized reminder systems have so far been rare. Hence, this paper aims to propose a proactive need identification mechanism by applying agent and semantic web technologies and RFID-based context subsystem for a personalized reminder system, which is one of the supporting systems for a robust ubiquitous service support environment. We have created a prototype system, RFID-based NAMA (Need Aware Multi-Agent), to demonstrate the feasibility of the methodology and of the mobile settings framework that we propose in this paper. NAMA considers the context, user profile with preferences, and information about currently available services, to discover the user's current needs and then link the user to a set of services, which are implemented as web services.

• Nuclear Engineering and Technology
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• v.38 no.5
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• pp.437-442
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• 2006

European Material Test Reactors (MTRs) have provided essential support for nuclear power programs over the last 40 years. MTRs are now ageing in Europe and they cannot ensure the securing of experimental capability for the next decades. In this context, a new Material Testing Reactor, named Jules Horowitz Reactor -JHR-, operated as an international user-facility, is under development in Europe. The European MTRs context and the JHR objectives and status will be presented. Emphasis will be put on experiments in the field of nuclear fuels and materials irradiation which are developed in the framework of European and international collaboration.

• Communications of the Korean Mathematical Society
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• v.26 no.4
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• pp.685-693
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• 2011

General framework for proximal point algorithms based on the notion of (A, ${\eta}$)-maximal monotonicity (also referred to as (A, ${\eta}$)-monotonicity in literature) is developed. Linear convergence analysis for this class of algorithms to the context of solving a general class of nonlinear variational inclusion problems is successfully achieved along with some results on the generalized resolvent corresponding to (A, ${\eta}$)-monotonicity. The obtained results generalize and unify a wide range of investigations readily available in literature.

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.421-435
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• 2004

This paper explores the applicability of traditional TAM and DOT to multi-level adoption (first level and second level adoption) process occurring within an organizational context. This paper identifies existing gaps in traditional innovation adoption models and concludes that a new framework is required. A new hybrid theoretical framework is developed which combines insights from organizational-level research on technology implementation with constructs from traditional innovation adoption models.

• International Journal of Costume and Fashion
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• v.9 no.2
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• pp.19-34
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• 2009

The purpose of this paper was to provide an overview of the existing literature on online visual merchandising and to propose an alternative theoretical framework in which online visual merchandising research can be conducted. Two streams of research including the e-tail service quality literature and the store environment literature from environmental psychology perspectives were reviewed in the context of online visual merchandising. An impression formation paradigm from social psychology was adopted to establish the alternative framework to supplement the existing online visual merchandising research and generate deeper insights into the online visual merchandising phenomenon.

• Language and Information
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• v.1
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• pp.181-225
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• 1997

The semantic and pragmatic effect of inerrogative illocutionary operator is analyzed in a dynamic setting in the framework of structured meaning representation with respect to the dialogue participants' shared common ground. I propose a framework for an optinal interpretation of focus phrases in terrogatives share the essential properties of focus in general, namely that they introduce alternatives to be taken advantage of by relevant focus-sensitive operators. The theory makes an interesting prediction on the distribution and interpretation of double questions in which one question gets modified by another. A further extention of the theory is spelled out to account for other non-assertional illocutionary operators like imperatives and their foci.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.295-300
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• 2009

This paper presents a context-aware information service system in public places that have complex processes, for the disabled and the elderly. The system infers context of a user which is derived from the user's demand, then it informs to the user -what to do, where to go-according to the context. Our system gets user's context from sensor data and informations from the local information system. The system provides more suitable information with a knowledge model, which organizes location and process data coordinately. The information is provided personally to the user, with mobile devices.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.291-299
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• 2012

Ubiquitous computing is a technique to provide users with appropriate services, collecting the context information in somewhere by attached sensor. An intelligent system needs to automatically update services according to the user's various circumstances. To do this, in this paper, we propose a design of context ontology, trigger rule for mining service pattern related to users activity and an active mining architecture integrating trigger system. The proposed system is a framework for active mining user activity and service pattern by considering the relation between user context and object based on trigger system.