• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.351-363
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• 2015

Discourse analysis is useful for examining discourse characteristics of dementia patients and differentiating them from normal adults. However, inconsistent tasks, transcription methods and measures have been utilized, thus analyses were inevitably unsystematic. The purpose of this study was to investigate tasks, transcription methods and measures of discourse studies in dementia. Studies on dementia discourses written in English were collected via Scopus database containing abstracts and citations from 2005 to 2014, and were analyzed in detail. From the results, the most frequently used task was 'storytelling-topic'. It was observed that use of consistent transcription conventions rendered more reliable transcription data. Measures could be categorized into coherence, cohesion, productivity, propositional syntactic lexical analysis, and fluency, and each category belonged to discourse processing levels (i.e., processing of conceptual networks, propositions, and natural language units). In conclusion, future research warrants not only utilization of discourse tasks depending on dementia types and features, but also application of consistent transcription conventions. Additionally, measures based on the discourse processing theory would enable us to systematically interpret discourse studies.

• Journal of Korean Society for Geospatial Information Science
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• v.10 no.2 s.20
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• pp.39-47
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• 2002

For the purpose of data construction for the systematic management and sight-seeing guidance of the natural park, the Kumoh Mt. Province Park was selected as a pilot area. Digital topographic maps, thematic maps and satellite imagery covering the object area were processed and then landform analysis for elevation, slope, aspect and so on was conducted through DEM generation, and the landcover map and NDVI maP were extracted from Landsat TM data. The database was then constructed with these spatial data for GSIS. The image map was generated from IKONOS satellite data, which cover the pilot area data, with one meter resolution and also 3D visualization which was overlaid with main paths up a mountain were conducted. And the moving image files were produced along main paths up including main natural spectacular sights, cultural assets and management facilities. It is expected that the research result can be utilized as the fundamental data for re-assessing suitable land use and constructing Web-based guidance system.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.169-185
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• 2011

Data redundancy is problematic in that it not only induces heavy storage management cost but also could bring critical degradation of information systems. Unfortunately, to our knowledge, only few enterprises willingly afford time and efforts for the faithful conceptual design to prevent the degree of inappropriate data as much as they could, while most of enterprises pay rare attention to the notion of that sort of data quality. Wondering if there would be any other way to design the enterprise.wide data design without prior knowledge about business works is our major motivation for this study. In this paper, we present our data modeling methodology in which associations among objects in each sentences of a business job descriptions are treated as the focal point in database design. A proposed agent for automated design tool simply takes a business job description written in natural language as an input, and then designs an entity relationship diagram with some smart rules. We introduce the scope of the proposed agent and its detailed logics with several examples. And then, we verify the appropriateness of the resulted associations among objects. Lastly, we perform case studies to evaluate the devised agent's applicability to a business field.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.3
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• pp.621-629
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• 2016

This paper presents a decision method of middle ear disease which is developed in children and adults. In the proposed method, features are extracted from the middle ear disease images and normal images using HoG (histogram of oriented gradient) descriptor and the extracted features are learned by SVM (support vector machine) classifier. To obtain an input vector into SVM, an input image is resized to a predefined size and then the resized image is partitioned into 16 blocks each of which is partitioned into 4 sub-blocks (namely cell). Finally, the feature vector with 576 components is given by using HoG with 9 bins and it is used as SVM learning and classification. Input images are classified by SVM classifier based on the model of learning features. Experimental results show that the proposed method yields the precision of over 90% in decision.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.3
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• pp.543-548
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• 2016

Public electronic certificates, as an important means for identification, have been used as the main economic transactions, including banking, e-government, e-commerce. identification. However, damage cases of certificates have been increased by Illegally issued and by hacking practices. Also the users have a difficult in ensuring that their certificates when and where to use. Therefore, the proposed system gives the organization code for the Institutions using OCSP services in advance, the organization code embedded in extensions of OCSP request message structure when institutions ask the validation of certificate to CA(Certificate Authority). Also, OCSP server can extract the organization code from OCSP request message, confirm the institution, and record it in certificate history management table of DB. In this paper, we presented a system that could determine the certificate history check using OCSP service, public electronic certificate validation service, and implemented to prevent and cope immediately with financial incidents.

• Journal of KIISE:Software and Applications
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• v.36 no.12
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• pp.1034-1037
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• 2009

Sign language spotting is the task of detecting the start and end points of signs from continuous data and recognizing the detected signs in the predefined vocabulary. The difficulty with sign language spotting is that instances of signs vary in both motion and shape. Moreover, signs have variable motion in terms of both trajectory and length. Especially, variable sign lengths result in problems with spotting signs in a video sequence, because short signs involve less information and fewer changes than long signs. In this paper, we propose a method for spotting variable lengths signs based on semi-CRF (semi-Markov Conditional Random Field). We performed experiments with ASL (American Sign Language) and KSL (Korean Sign Language) dataset of continuous sign sentences to demonstrate the efficiency of the proposed method. Experimental results show that the proposed method outperforms both HMM and CRF.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1354-1358
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• 2008

수질오염관리 정책이 배출원 관리에서 유역공동체를 중심으로 한 사전 예방적 유역관리정책으로 변화됨에 따라 단순문서에 의한 오염원 자료관리 등의 업무처리체계로는 수질오염총량관리제 실시에 따른 실무지원이 어렵다. 이를 위해서는 수질오염총량관리기술지침에 근거한 하천, 호소 및 오염배출실태자료의 체계적 관리가 필요하며, 유역환경(단위유역, 소유역 등)에 대한 기초정보와 국가수질측정망 자료 및 자치단체 소하천 등의 수질자료의 연계활용이 필요하다. 따라서 경기도에서는 수질오염총량제 시행에 따른 유역관리현황 정보를 구축하고, 국가하천을 중심으로 한 중앙정부의 유역환경정보와 지방하천 및 소하천을 중심으로 한 지방자치단체의 유역환경정보를 통합, 운영함으로써 통합적인 유역관리지원 체계를 구축하고자 한다. 이를 통해 수질측정망 및 수위-유량 등 수문자료와 배수구역도, 단위유역도, 항공사진 등 지리정보를 활용한 유역관리정책 기반을 구축하고, 경기도 및 31개 시 군의 유역관리정책수립 및 시행에 필요한 논리적, 기술적 정보제공 시스템을 구축하고자 한다. 따라서 본 연구는 오염총량관리제도의 의무제 전환이 예측되는 상황에서 향후 광역시도간 광역계획 혹은 경기도내 시군의 오염총량관리계획에 능동적으로 대응하기 위해 경기도 차원의 수질측정망 자료, 오염원 실태조사 자료 및 수위-유량 등 수문자료와 배수-구역도, 토지이용도, 단위 유역도, 항공사진 등 GIS 자료 등을 데이터베이스화하여 경기도내 시 군 환경담당부서의 업무분석을 통해 업무에 활용되는 주요 환경자료에 대한 업무지원체계를 확립하기 위한 수질오염정보화 시스템을 구축하고 그 활용방안을 제시하는데 그 목적이 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.199-204
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• 2017

Recently, the reagent in the laboratory can not only confirm the internal environment through the sensor but also check the status inside the reagent cabinet in real time. Also, if an abnormality occurs in the inside of the reagent cabinet, a serious accident may occur. To solve these problems, this paper proposes a reagent monitoring system that integrates reagent and ICT. The sensor data measured in real time is displayed to the user in real time through the monitor and stored in the database. In addition, by using the stored data, it is possible to inform the registered administrator in real time of the dangerous situation by informing the dangerous situation in case of danger, and to be able to check and control remotely. This can improve safety by making control and confirmation of the state of the inside of the reagent everywhere.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.4 s.34
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• pp.19-25
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• 2005

This study suggests a method for securing road safety by extracting the expected surface freezing section in planning a route using GIS. When planning a road construction in a mountainous area it is possible to confront surface freezing especially in the wintertime. In addition, it is required assessment data of surface freezing rates in the case of turnkey inspections of newly constructed or expanded roads. Consequently, an analysis method that can quantitatively estimate the surface freezing section and sunshine influence on each section of a road is needed. We can extract the expected surface freezing section which amounted to around 29km of the Donghae highway, with such techniques as three-dimensional modeling, sunshine simulation geographical database construction and spatial analysis using the overlay function of the GIS spatial analysis. This study can be used as a method to assess advance safety which has a direct influence on planning the blueprint that should be approved by a policy maker after efficiently understanding the expected surface freezing section in accordance with hill shade.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.481-489
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• 2010

Due to the increase of the attention on relation extraction systems, the construction of test collections for assessing their performance has emerged as an important task. In this paper, we propose semi-automatic framework capable of constructing test collections for relation extraction on a large scale. Based on this framework, we develop a test collection which can assess the performance of various approaches to extracting relations between technical terminologies in scientific literatures. This framework can minimize the cost of constructing this kind of collections and reduce the intrinsic fluctuations which may come from the diversity in characteristics of collection developers. Furthermore, we can construct balanced and objective collections by means of controlling the selection process of seed documents and terminologies using the proposed framework.