• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.436-438
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• 2022

국가연구데이터커먼즈는 연구데이터 활용 극대화를 위해 컴퓨팅 인프라, 데이터 분석을 위해 사용되는 SW, Toolkit, API, 서비스 등과 같은 분석리소스를 연구데이터와 함께 배치하여 연합 활용될 수 있는 체계를 구축하는 것을 목표로 한다. R&D 과정에서 연구 출판물, 연구데이터에 대한 공유·활용 체계는 이미 잘 알려져 있다. 하지만 데이터와 밀결합된 소프트웨어, 컴퓨팅 인프라들을 공유하고, 활용할 수 있는 환경은 미미하고, 관리체계가 없는 실정이다. 본 연구에서는 데이터 중심의 R&D 연구 과정에서 필요한 디지털 연구 자원 정보를 체계적으로 관리하기 위하여 데이터모델을 설계한다. 이는 국가연구데이터커먼즈 서비스에서 디지털 연구 자원 정보들을 등록하고 관리하는데 활용될 예정이다.

• International Journal of Contents
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• 제8권2호
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• pp.43-51
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• 2012

This study identifies the determinants of increasing privacy concerns in the mobile apps. The privacy affecting factors will be divided into the 3 categories on the basis of both users' and developers' perspective. First, this study explores whether the users' seeking value affects concern of the mobile apps privacy. Second, gender gap on the mobile privacy sensitivity will be tested. Third, this study identifies the meaning of apps developers' providing toolkit in the users' sensitivity on the privacy. The result showed that innovation among the customer's characteristics was identified the most significant factor to affect the mobile app privacy sensitivity. Ethical norm related variables (ethical identity, subjective norm and utilitarian value) were also identified as the meaningful variables in the mobile app privacy. Toolkits provided by app developers are also appeared a significant variable to affect the customer's app privacy sensitivity negatively. Finally gender also appears the meaningful factor in the mobile app privacy sensitivity.

• ETRI Journal
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• 제35권1호
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• pp.100-108
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• 2013

In this paper, a feature extraction (FE) method is proposed that is comparable to the traditional FE methods used in automatic speech recognition systems. Unlike the conventional spectral-based FE methods, the proposed method evaluates the similarities between an embedded speech signal and a set of predefined speech attractor models in the reconstructed phase space (RPS) domain. In the first step, a set of Gaussian mixture models is trained to represent the speech attractors in the RPS. Next, for a new input speech frame, a posterior-probability-based feature vector is evaluated, which represents the similarity between the embedded frame and the learned speech attractors. We conduct experiments for a speech recognition task utilizing a toolkit based on hidden Markov models, over FARSDAT, a well-known Persian speech corpus. Through the proposed FE method, we gain 3.11% absolute phoneme error rate improvement in comparison to the baseline system, which exploits the mel-frequency cepstral coefficient FE method.

• 한국음향학회:학술대회논문집
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• 한국음향학회 2000년도 하계학술발표대회 논문집 제19권 1호
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• pp.99-102
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• 2000

In the case of making large vocabulary speech recognition system, it is better to use the segment than the syllable or the word as the recognition unit. In this paper, we study on the basis of making biphone for Korean speech recognition. For experiments, we use the speech toolkit of OGI in U.S.A. The result shows that the recognition rate of the case in which the diphthong is established as a single unit is superior to that of the case in which the diphthong Is established as two units, i.e. a glide plus a vowel. And also, the recognition rate of the case in which the biphone is used as the recognition unit is better than that of the case in which the mono-phoneme is used.

• 한국CDE학회논문집
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• 제16권4호
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• pp.285-291
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• 2011

A pose estimation process from medical images is calculating locations and orientations of objects obtained from Computed Tomography (CT) volume data utilizing X-ray images from two directions. In this process, digitally reconstructed radiograph (DRR) images of spatially transformed objects are generated and compared to X-ray images repeatedly until reasonable transformation matrices of the objects are found. The DRR generation and image comparison take majority of the total time for this pose estimation. In this paper, a fast DRR generation technique based on GPU parallel computing is introduced. A volume ray-casting algorithm is explained with brief vector operations and a parallelization technique of the algorithm using Compute Unified Device Architecture (CUDA) is discussed. This paper also presents the implementation results and time measurements comparing to those from pure-CPU implementation and open source toolkit.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2006년도 춘계학술발표대회
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• pp.281-284
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• 2006

최근 산업용 내장형 소프트웨어는 높은 부가가치를 창출할 수 있는 분야로 각광을 받고 있다. 최근 산업용 기기의 하드웨어뿐 아니라 내장형 소프트웨어에 대한 품질 시험 및 인증을 위한 기반 연구가 활발히 수행되고 있다. 본 연구는 산업용 소프트웨어 국제표준 적합성 인증」사업 추진과 관련하여 산업용 소프트웨어의 통신 기능에 대한 성능 평가 시험을 위하여 다양한 통신 프로토콜을 지원하는 시뮬레이션 소프트웨어를 개발한 것이다 소프트웨어는 산업용 통신 프로토콜인 필드버스 방식(Profibus, DeviceNet, CAN, RS232C, RS485, RS422등) 및 이더넷 기반의 TCP/IP 프로토콜에 대한 통신 시뮬레이션 시험 기능을 가지고 있으며, 프로토콜별 패킷 프레임을 사용자가 임의적으로 설정할 수 있게 하여 다양한 통신환경에서의 시뮬레이션 시험을 지원하고 각 프로토콜은 단방향 및 양방향시험을 모두 지원한다. 본 논문에서는 프로토콜별 시험 항목 및 방법을 소개하고 시뮬레이선 시스템의 하드웨어와 소프트웨어 구성 및 운영환경을 기술하였다.

• 천문학논총
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• 제32권1호
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• pp.41-43
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• 2017

AKARI performed about 10,000 spectroscopic observations with the Infrared Camera (IRC) during its mission phase. These IRC observations provide unique spectroscopic data at near- and mid-infrared wavelengths for studies of the next few decades because of its high sensitivity and unique wavelength coverage. In this paper, we present the current status of the activity for improving the IRC spectroscopic data reduction process, including the toolkit and related data packages, and also discuss the goal of this project.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2009년도 춘계학술대회 미래 IT융합기술 및 전략
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• pp.59-67
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• 2009

본 논문은 MIDP에뮬레이터를 이용한 미들랫슈트의 전 개발 과정을 소개함으로써 개발 툴 독립적인 모바일프로그램의 개발과정을 이해하고 미들랫, Manifest, JAR, JAB, 미들랫 슈트의 각 단계별 개발 스트림의 사례를 예시함으로써 DOS환경에서의 미드랫 슈트의 개발과정을 완전히 숙지하여 NetBeans 모빌리티팩이나 Eclipse와 같은 통합개발환경이나 자바 Wireless Toolkit과 같은 프로젝트형 개발환경에서 자바모바일프로그램의 개발을 보다 용이하게 이해하고자 함에 그 목적이 있다. 최근 자바 모바일프로그램의 개발과 관련된 연구와 문헌들이 많이 제공되고 있으나 기존의 연구들과는 달리 본 논문에서는 미들랫슈트의 개발스트립을 각 단계별로 구현하였음에 의의가 있다고 하겠다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2005년도 춘계학술대회논문집
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• pp.945-948
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• 2005

Mobile computing devices are becoming increasingly prevalent in a huge range of physical area, offering a considerable market opportunity. The focus of this paper is on the development of a platform of fault diagnosis system integrating with personal digital assistant (PDA). An improvement of induction machine rotor fault diagnosis based on AI algorithms approach is presented. This network system consists of two parts; condition monitoring and fault diagnosis by using Artificial Intelligence algorithm. LabVIEW allows easy interaction between acquisition instrumentation and operators. Also it can easily integrate AI algorithm. This paper presents a development environment fur intelligent application for PDA. The introduced configuration is a LabVIEW application in PDA module toolkit which is LabVIEW software.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
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• pp.505-506
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• 2008

Motion capture system that is used in movies and games today requires large equipments and expensive that it is still not common as a reasonable family game. Therefore, this research project focused on solving these problems mentioned above and move on to develop a new type of approach and by using reasonable family use USB camera and augmented reality to develop a bodily sensation motion capture system which can be used in making a video game. In order to develop this, I used a pair of Marker which can be placed on both hands and one USB camera and the image that was extracted in real time goes through the AR toolkit and ed the 3D coordinates of data and developed a motion capture system.