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A Design and Development of Augmented Reality Based Video Guestbook System (증강현실 기반의 비디오 방명록 시스템 설계 및 개발)

  • Kim, Namkil;Park, Heechan;Park, Kyoung Shin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.11a
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    • pp.415-416
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    • 2009
  • 최근 증강현실 기술이 발전하면서 다양한 환경에서의 상호작용을 위한 증강현실 기반 사용자 인터페이스가 활발히 연구되고 있다. 본 논문에서는 증강현실 기반의 사용자 인터페이스를 이용하여 전시회에서 사용자의 참여를 유도하고 다양한 상호작용을 제공하는 비디오 방명록 시스템을 제안한다. 이 시스템은 기존의 텍스트나 음성 서비스 중심적인 전시장 안내 시스템과는 달리 증강현실 기술과 사용자의 참여와 기록을 남길 수 있도록 유도하는 상호작용 방법을 제시한다. 본 논문에서는 증강현실 기반의 동영상 방명록 시스템의 설계와 구현을 설명하고 추후 연구방향을 논한다.

Common Conversation Topic Identification System through Multi-intent Detection (다중 의도 탐지를 통한 공통 대화 주제 식별 시스템)

  • Oh, Gyeong-Su;Ju, Chan-Yang;Lee, Dong-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.590-593
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    • 2022
  • 최근 코로나바이러스감염증-19(COVID-19)로 인해서 다양한 비대면 서비스가 증가하고 있는데 그 중에서 사람과 인공지능 간 의사소통하여 정보를 얻는 대화 시스템이 대표적인 서비스이다. 대화 시스템은 입력되는 단일 문장에 대한 정보만을 응답하기 때문에 이전 대화의 정보를 알기 위해서는 질문했던 내용을 다시 입력해야 하는 문제점이 있다. 이런 문제를 해결하고 대화 진행에 도움을 주기 위해서 본 논문에서는 대화 내 문장들의 다중 의도 탐지를 통한 공통 대화 주제 식별 시스템을 제안한다.

Design of Category Classification Model for Food Posts using KoBERT (KoBERT를 활용한 식품 게시글 카테고리 분류 모델의 설계)

  • Tae Min Hyeon;Hui Jin Kim;Eun Zi Lim;Joon-Min Gil
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.572-573
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    • 2023
  • 본 논문에서는 식품 판매 게시글에 대한 카테고리 분류를 위해 자연어처리 모델인 KoBERT 모델에 기반하여 식품 판매글에 대한 카테고리 분류 모델을 설계하고 구현한다. 본 논문을 통해 구현된 식품 판매 게시글의 카테고리 분류 모델은 정확도 평가에 대해서 비교적 우수한 성능을 산출하였다.

A Study on the Types and Measures of Fatal Accidents Due to Construction Project Schedule Rate (건설현장 공사 공정율에 기인한 중대재해 분포 및 대책)

  • Park, Ok-Nam
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2022.10a
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    • pp.169-170
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    • 2022
  • As the size of construction projects has become larger in recent years, the nature of the disaster safety factors along with the progress of construction is also becoming more complex and diversified. Accordingly, the introduction of computerized construction, new technologies, and new construction methods has resulted in a variety of risk factors in the process and operations, and many new safety construction methods are being tried. Since the construction industry has variable working environments and constantly changes working methods and components depending on the rate of progress, workers at construction sites are always exposed to risk depending on the specific circumstances of the construction industry. This study attempts to collect and analyze major accident cases generated by major accident construction projects as a result of progress in construction work, and to derive the major causes and causes for each safety management activity that affect safety accidents.

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Proposal of an Improved Fall Detection Using GRU (GRU 를 이용한 개선된 낙상 감지 기법 제안)

  • Min-Ki Hong;Seung-Hyun Lee;Youn-Soon Shin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.287-288
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    • 2023
  • 우리 사회가 고령화시대로 접어들면서 낙상은 매우 심각한 사회문제가 되고 있으며 정확한 낙상 감지 기술의 수요도 늘고 있다. 본 연구는 웹 캠을 이용한 개선된 낙상감지 기법을 제안한다. 제안하는 기법은 RGB 영상을 기반으로 스켈레톤 포즈 추출, 데이터 가공, GRU(Gated Recurrent Unit) 신경망 알고리즘을 적용한 낙상 감지 실험 및 감지 결과 분석의 과정이 포함된다.

Comparison of two approaches to acupoints inference using artificial intelligence (인공지능을 활용한 경혈위치 추론: 두 가지 접근법 비교)

  • Seon-Deok Seo;Byung-il Lee;Myunggi Yi
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.566-567
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    • 2023
  • 최근 인공지능을 활용한 경혈의 위치를 추론하는 연구가 활발하게 진행되고 있다. 본 논문은 자세 추정(Pose Estimation)을 통해 경혈 검출을 위한 두 가지 접근법인 Top down 방식과 Bottom up 방식의 추론 결과를 비교함으로써 어떤 방식이 경혈의 위치를 추론하기에 더 적합한 지 알아보고자 한다.

Detection technique of Red Tide Using GOCI Level 2 Data (GOCI Level 2 Data를 이용한 적조탐지 기법 연구)

  • Bak, Su-Ho;Kim, Heung-Min;Hwang, Do-Hyun;Yoon, Hong-Joo;Seo, Won-Chan
    • Korean Journal of Remote Sensing
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    • v.32 no.6
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    • pp.673-679
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    • 2016
  • This study propose a new method to detect Cochlodinium polykrikoides red tide occurring in South Sea of Korea using Water-leaving Radiance data and Absorption Coefficients data of Geostationary Ocean Color Imager (GOCI). C. polykrikoides were analyzed and the irradiance and light emission characteristics of the wavelength range from 412 nm to 555 nm were confirmed. The detection technique proposed in this study detects the red tide occurring in the optically complex South Sea. Based on these results, it can be used for future red tide prevention.

The Effect of Rubber Roller's Roughness & Compounds on Printability (고무 롤러이 원료 및 표면 조도가 잉크 전이에 미치는 영향에 관한 연구)

  • Ko, Ki-Hun;Ha, Young-Baeck;Lee, Jae-Soo;Oh, Sung-Sang;Lee, Euy-Soo
    • Journal of the Korean Graphic Arts Communication Society
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    • v.24 no.2
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    • pp.61-68
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    • 2006
  • Rubber rollers in off-set printing process are one of the most important factor, transferring the ink and water to the plate. Each different roughness of roller surface and different rubber compounds could effect to ink transparency and printability. Three different rubber compounds (NBR, EPDM, PU) and each different roughness of roller surface would show us different result of ink transparency and density of actual printing result. There might be a differences from actual printing result not only the amount of transferred ink, but there is also some other point we should check it out. According to the result of this studies, we found that different rubber compounds and their surface roughness directly effect to the rate of ink transfer. It also shows that the amount of transferred ink is not even and stable amount what we expect to get optimum printability. To reach a targeted printability with rollers, firstly it is necessary to choose correct rubber compounds with certain purpose and the roughness of roller surface has to be as smooth as less than $5{\mu}m{\sim}7{\mu}m$.

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A machine learning model for the derivation of major molecular descriptor using candidate drug information of diabetes treatment (당뇨병 치료제 후보약물 정보를 이용한 기계 학습 모델과 주요 분자표현자 도출)

  • Namgoong, Youn;Kim, Chang Ouk;Lee, Chang Joon
    • Journal of the Korea Convergence Society
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    • v.10 no.3
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    • pp.23-30
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    • 2019
  • The purpose of this study is to find out the structure of the substance that affects antidiabetic using the candidate drug information for diabetes treatment. A quantitative structure activity relationship model based on machine learning method was constructed and major molecular descriptors were determined for each experimental data variables from coefficient values using a partial least squares algorithm. The results of the analysis of the molecular access system fingerprint data reflecting the candidate drug structure information were higher than those of the in vitro data analysis in terms of goodness-of-fit, and the major molecular expression factors affecting the antidiabetic effect were also variously derived. If the proposed method is applied to the new drug development environment, it is possible to reduce the cost for conducting candidate screening experiment and to shorten the search time for new drug development.

Statistical Analyses of the Flowering Dates of Cherry Blossom and the Peak Dates of Maple Leaves in South Korea Using ASOS and MODIS Data

  • Kim, Geunah;Kang, Jonggu;Youn, Youjeong;Chun, Junghwa;Jang, Keunchang;Won, Myoungsoo;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.38 no.1
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    • pp.57-72
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    • 2022
  • In this paper, we aimed to examine the flowering dates of cherry blossom and the peak dates of maple leaves in South Korea, by the combination of temperature observation data from ASOS (Automated Surface Observing System) and NDVI (Normalized Difference Vegetation Index) from MODIS (Moderate Resolution Imaging Spectroradiometer). The more recent years, the faster the flowering dates and the slower the peak dates. This is because of the impacts of climate change with the increase of air temperature in South Korea. By reflecting the climate change, our statistical models could reasonably predict the plant phenology with the CC (Correlation Coefficient) of 0.870 and the MAE (Mean Absolute Error) of 3.3 days for the flowering dates of cherry blossom, and the CC of 0.805 and the MAE of 3.8 for the peak dates of maple leaves. We could suppose a linear relationship between the plant phenology DOY (day of year) and the environmental factors like temperature and NDVI, which should be inspected in more detail. We found that the flowering date of cherry blossom was closely related to the monthly mean temperature of February and March, and the peak date of maple leaves was much associated with the accumulated temperature. Amore sophisticated future work will be required to examine the plant phenology using higher-resolution satellite images and additional meteorological variables like the diurnal temperature range sensitive to plant phenology. Using meteorological grid can help produce the spatially continuous raster maps for plant phenology.