• 대한공간정보학회지
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• 제20권4호
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• pp.11-17
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• 2012

본 연구에서는 3차원 지적을 정의하고, 객체선별, 표준화를 통하여 UFID체계 기반의 측량분야 통합 ID 체계를 구축하고자 하였으며, 구축된 통합 ID 체계를 서울시에서 제시하고 있는 객체 ID 체계와 비교검토를 통하여 향후 3차원 지적정보시스템에서의 활용 가능성을 제시하였다. 본 연구를 통하여 총 41자리로 구성한 UFID기반의 지적공간정보 통합 ID 체계를 개발하였으며, 개발한 통합 ID를 서울시에서 구축한 3차원 지적정보시스템의 객체 ID와 비교 검토한 결과 객체 ID의 경우 위치정보가 제한적이며 타 기관과의 연계가 불가능하였으나, 본 연구에서 제시한 통합 ID는 정확한 위치정보와 정보연계의 유연성 및 활용성을 파악할 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권4호
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• pp.1543-1561
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• 2020

Taxonomy of human brain activity is a complicated rather challenging procedure. Due to its multifaceted aspects, including experiment design, stimuli selection and presentation of images other than feature extraction and selection techniques, foster its challenging nature. Although, researchers have focused various methods to create taxonomy of human brain activity, however use of multivariate pattern analysis (MVPA) for image recognition to catalog the human brain activities is scarce. Moreover, experiment design is a complex procedure and selection of image type, color and order is challenging too. Thus, this research bridge the gap by using MVPA to create taxonomy of human brain activity for different categories of images, both colored and gray scale. In this regard, experiment is conducted through EEG testing technique, with feature extraction, selection and classification approaches to collect data from prequalified criteria of 25 graduates of University Technology PETRONAS (UTP). These participants are shown both colored and gray scale images to record accuracy and reaction time. The results showed that colored images produces better end result in terms of accuracy and response time using wavelet transform, t-test and support vector machine. This research resulted that MVPA is a better approach for the analysis of EEG data as more useful information can be extracted from the brain using colored images. This research discusses a detail behavior of human brain based on the color and gray scale images for the specific and unique task. This research contributes to further improve the decoding of human brain with increased accuracy. Besides, such experiment settings can be implemented and contribute to other areas of medical, military, business, lie detection and many others.

• 한국지능시스템학회논문지
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• 제17권3호
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• pp.322-327
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• 2007

심리학 분야의 연구자들은 Electroencephalographic(EEG)을 오래전부터 인간 두뇌의 활동을 측정 기록하는데 사용하였다. 과학이 발달함에 따라 점차적으로 인간의 두뇌에서 감정을 조절하는 기본적인 영역들이 밝혀지고 있다. 그래서 인간의 감정을 조절하는 인간의 두뇌 활동 영역들을 EEG를 이용하여 측정하였다. 손짓이나 고개의 움직임은 사람들 사이에 대화를 위한 인간의 몸 언어로 사용된다. 그리고 그것들의 인식은 컴퓨터와 인간 사이에 유용한 회화수단으로 매우 중요하다. 몸짓에 관한 연구들은 주로 영상을 통한 인식 방법이 주를 이루고 있다. 많은 연구자들의 기존 연구에서는 생체신호나 몸짓중 한 가지만을 이용하여 감정인식 방법 연구를 하였다. 본 논문에서는 EEG 신호와 몸짓을 같이 사용해서 사람의 감정을 인식하였다. 그리고 인식의 대상자를 운전자라는 특정 대상자를 설정하고 실험을 하였다. 실험 결과 생체신호와 몸짓을 같이 사용한 실점의 인식률이 둘 중 한 가지만을 사용한 것보다 높은 인식률을 보였다. 생체신호와 몸짓들의 특징 신호들은 강화학습의 개념을 이용한 IFS(Interactive Feature Selection)를 이용하여 특징 선택을 하였다.

• Asian-Australasian Journal of Animal Sciences
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• 제23권6호
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• pp.814-824
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• 2010

The objective of this research was to assess the effect of experience, education, record keeping, labor, and decision making on monthly milk yield per farm (MYF), monthly milk yield per cow (MYC), monthly milk revenue per farm (MRF), and monthly revenue per cow (MRC) of dairy farms supported by a private organization in Central Thailand. The dataset contained 34,082 monthly milk yield and revenue records collected from January 2004 to December 2008 on 497 farms, and information on individual farmer experience and education, record keeping, and decision making obtained with a questionnaire. Farmer experience categories were i) no experience, ii) one year, iii) two to five years, iv) six to ten years, v) eleven to fifteen years, vi) sixteen to twenty years, and vii) more than twenty years. Farmer education categories were i) no education or primary school, ii) high school, and iii) bachelor or higher degree. Record keeping categories were: i) no records and ii) kept records. Labor categories were: i) family, ii) hired people, and iii) family and hired people. Decision making categories were: i) decisions made by farmers themselves, ii) decisions made with help from government officials, and iii) decisions made with help from organization staff. The mixed linear model contained the fixed effects of year-season, farm location-farm size subclass, experience, education, record keeping, labor, and decision making on sire selection, and the random effects of farm and residual. Results showed that longer experience increased (p<0.05) monthly milk yield (MYF and MYC) and revenue (MRF and MRC). Farms that hired people produced the highest (p<0.05) monthly milk yield (MYF and MYC) and revenue (MRF and MRC), followed by farms that used family, and the lowest values were for farms that used both family and hired people. Better educated farmers produced more MYC and MRC (p<0.05) than lower educated farmers. Farms that kept records had higher MYF and MRF (p<0.05) than those without records. Although differences among farms were non-significant, farms that received help from the organization staff had higher monthly milk yield (MYF and MYC) and revenue (MRF and MRC) than those that decided by themselves or with help from government officials. These findings suggested that dairy farmers needed systematic training and continuous support to improve farm milk production and revenues in a sustainable manner.

• 한국콘텐츠학회논문지
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• 제20권11호
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• pp.422-434
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• 2020

본 연구는 2015 개정 교육과정에 따른 문·이과 통합 교육과정의 운영 실태를 파악하여, 대학에서 강화 혹은 반영해야 할 전형 유형에 대한 분석과 입시 방향을 제시하는 것을 목적으로 한다. 이를 위해, 5명의 교육과정 전문가를 대상으로 운영 실태에 대한 심층 인터뷰를 실시하였다. 심층 인터뷰 결과, 고교 생활의 내면을 들여다볼 수 있는 전형 도입과 명료한 입학전형 설계가 필요하며, 학생 선발 지표의 구체적인 기준 마련, 학습 활동과 관련된 심층 면접 확대, 평가역량 강화, 평가인력 충원 등이 요구됨을 알 수 있었다. 또한 2015 개정 교육과정 활성화를 위해 학생부 종합 전형과 교과 전형을 확대시키기 위해서는 학생들이 얼마나 다양한 과목, 진로에 적합한 과목들을 내실 있게 수강했는지를 평가할 필요가 있다. 이를 위해 지속적이고 적극적 역할 수행을 파악할 수 있는 대학만의 평가요소 및 평가 기준을 추출하고, 이를 객관적으로 판단할 수 있는 전형 설계가 요구된다. 이러한 연구 결과는 향후 공교육 활성화를 위한 대입 전형 정착에 기여함과 동시에, 대학에서 원하는 인재 선발을 위한 기초 자료로 활용될 것으로 기대한다.

• 한국가금학회지
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• 제24권3호
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• pp.153-160
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• 1997

This study was carried out to estimate the heritability and genetic correlation for body weight, shank length and shank width at various wk of age in growing Korean pheasant. All the measurements were done from one day to 20 wk of age with 4 wk interval. The heritability estimates for body weight were in the range of 0.54~0.59 for male and of 0.49~0.81 for female from 4 to 20 wk of age. The heritability estimates of male and female were in the range of 0.38~0. 82 and 0.41~0.67 for shank length, and of 0.48~0.88 and 0.49~0.71 for shank width, respectively. Genetic and phenotypic correlation coefficients between the measurements at different ages in each trait of body weight, shank length and shank width were medium to high positive values. Because the estimates of heritabilities and genetic correlations were high, the genetic gain for body weight is expected by either a direct selection or an early selection based on the record of early growing stage.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제7권4호
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• pp.256-261
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• 2007

Electroencephalographic(EEG) is used to record activities of human brain in the area of psychology for many years. As technology developed, neural basis of functional areas of emotion processing is revealed gradually. So we measure fundamental areas of human brain that controls emotion of human by using EEG. Hands gestures such as shaking and head gesture such as nodding are often used as human body languages for communication with each other, and their recognition is important that it is a useful communication medium between human and computers. Research methods about gesture recognition are used of computer vision. Many researchers study Emotion Recognition method which uses one of EEG signals and Gestures in the existing research. In this paper, we use together EEG signals and Gestures for Emotion Recognition of human. And we select the driver emotion as a specific target. The experimental result shows that using of both EEG signals and gestures gets high recognition rates better than using EEG signals or gestures. Both EEG signals and gestures use Interactive Feature Selection(IFS) for the feature selection whose method is based on the reinforcement learning.

• 기록학연구
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• 제63호
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• pp.115-144
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• 2020

이 논문은 일본 가나가와현 아카이브의 중간보존시설 운영과 현용기록의 조기이관 제도, 평가·선별 제도 연구를 통해 한국 기록관리 제도 개혁을 위한 참고 사례를 제공한다. 가나가와현 아카이브가 운영하는 중간보존 시설은 일본의 기록관리 개혁과 공문서관리법 제정 과정에서 주요 참조 모델로 검토된 바 있으며, 오키나와현 아카이브 등에서 '선진 사례'로 도입, 운영되고 있다. 또한, 가나가와현 아카이브는 '영구' 보존기간을 폐지하고, 10년과 30년 보존의 기록을 생산 종결된 때로부터 5년 경과 시점에 아카이브의 중간보존시설로 조기 이관한다. 기본적으로 보존기간 만료시 모든 현용기록을 재평가하는 제도이며, 1년 보존문서를 제외한 3년과 5년의 단기 보존연한 기록과 10년 이상 장기 보존연한 기록의 평가·선별을 아카이브의 핵심 업무로 설정하고 있다.

• Nuclear Engineering and Technology
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• 제49권4호
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• pp.825-837
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• 2017

Due to the severe impacts of recent earthquakes, the use of seismic isolation is paramount for the safety of nuclear structures. The diversity observed in seismic events demands ongoing research to analyze the devastating attributes involved, and hence to enhance the sustainability of base-isolated nuclear power plants. This study reports the seismic performance of a seismically-isolated nuclear reactor containment building (NRCB) under strong short-period ground motions (SPGMs) and long-period ground motions (LPGMs). The United States Nuclear Regulatory Commission-based design response spectrum for the seismic design of nuclear power plants is stipulated as the reference spectrum for ground motion selection. Within the period range(s) of interest, the spectral matching of selected records with the target spectrum is ensured using the spectral-compatibility approach. NRC-compliant SPGMs and LPGMs from the mega-thrust Tohoku earthquake are used to obtain the structural response of the base-isolated NRCB. To account for the lack of earthquakes in low-to-moderate seismicity zones and the gap in the artificial synthesis of long-period records, wavelet-decomposition based autoregressive moving average modeling for artificial generation of real ground motions is performed. Based on analysis results from real and simulated SPGMs versus LPGMs, the performance of NRCBs is discussed with suggestions for future research and seismic provisions.

• 한국멀티미디어학회논문지
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• 제20권3호
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• pp.456-464
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• 2017

The epigraphy is a text on metal or a text on stone. The value of epigraphy can be used to identify historical facts of the past. It is a good record to understand the past life and culture. But it is difficult to decode the character of the epigraphy which has been exposed to the outdoor for a long time. In this study, the proposed techniques are consisted of 3 parts: (1)The surface division into information area, non- information area, and undifferentiated area. And then, (2) The selection of points in the non-information area and finding a reference plane with the minimum error. (3) Flattening the points perpendicular to the reference plane and decoding characters on information area. This research contributes to narrow the scope of a particular letter and to read the controversial letters on the Pohang Jungsoengri Silla Stone Monument(Korea's national treasure number 318).