• Title/Summary/Keyword: Observation Features

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A Study of Customer's Activities for Continuous Improvement of Railway Customer Satisfaction Service (철도 고객만족서비스 향상을 위한 이용자 행동에 관한 연구)

  • Kim, Seong-Nam
    • Proceedings of the KSR Conference
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    • 2003.10b
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    • pp.8-13
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    • 2003
  • For continuous improvement of the railway customer satisfaction service, more objective evaluation and development system for software and hardware shall be built. The entire activity of railway customer is the interface between the customer and software/hardware services. Customer's activity was investigated by participating observation and objective observation, and considering the connection of all the activities, it was divided into 9 categories and 43 items. Although the detailed activity of customer would vary per item, they show more than 430 different activities under general condition. Also, the customer's activity varies according to the numerous variants such as physical, mental, environmental and cultural features. Especially, as lots of changes, diversification and high-quality of railway industry are expected according to the middle and long term plan on railway industry development, it is necessary for experts in various fields to perform cooperative research aggressively to improve the customer satisfaction service continuously based on continuous customer activity research.

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DEVELOPMENT OF RVI2CELL - A PRECISE RADIAL VELOCITY ESTIMATION PROGRAM WITH BOES DATA (BOES 데이터를 이용한 정밀 시선 속도 추정 프로그램 RVI2CELL 개발)

  • Han, In-Woo;Kim, Kang-Min;Lee, Byeong-Cheol;Valyavin, G.
    • Publications of The Korean Astronomical Society
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    • v.22 no.3
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    • pp.75-81
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    • 2007
  • In this study we present basic principles and features of RVI2CELL, a precise RV (radial velocity) estimation program to process stellar spectra obtained through iodine cell. RVI2CELL is very robust and fast program. The instrument profile can be modeled as a sum of Gaussian functions or a non-parametric arbitrary shape. The RV accuracy estimated by observation of a RV standard star Tau Ceti indicates about 9 m/s.

Recent Earthquake Activity in and around Kyeongsang Basin (최근의 경상분지 일원에서의 지진활동)

  • 전정수
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 1998.10a
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    • pp.391-398
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    • 1998
  • To understand the current seismic activity and regional tectonic status in and around Gyeongsang basin, Korea Institute of Geology, Mining, and Materials(KIGAM) has performed the earthquake monitoring around the Gyeongsang basin since early 1980's with portable analog seismic instruments for about two months every year. As a part of POSEIDON project, Korea-Japan joint observation around gyeongsang basin in 1991 and 1992, was performed using by temporary seismic station. KIGAM has been continuously operated nine short-period 3-components digital seismic stations since the end of 1994. During the observation period, 247 earthquakes were analyzed and their magnitude was less than 4.5. In general, we could not find any relationship between seismic activity and known surface geological features. But the epicenters were rather concentrated with NW-SE direction. The most active seismicity was found in Gyeongbuk Gyeongjugun Seokeupri and Hyodongri, and Yeongilgun Janggiri and Guryongpo in land, and in three region along the east coast which are 10km and 30km east off from Gampo and 30km east off from Jongja in offshore.

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Machine Learning-Based EEG Classification for Assisting the Diagnosis of ADHD in Children (아동의 ADHD 진단 보조를 위한 기계 학습 기반의 뇌전도 분류)

  • Kim, Min-Ki
    • Journal of Korea Multimedia Society
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    • v.24 no.10
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    • pp.1336-1345
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    • 2021
  • Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurological disorders in children. The diagnosis of ADHD in children is based on the interviews and observation reports of parents or teachers who have stayed with them. Since this approach cannot avoid long observation time and the bias of observers, another approach based on Electroencephalography(EEG) is emerging. The goal of this study is to develop an assistive tool for diagnosing ADHD by EEG classification. This study explores the frequency bands of EEG and extracts the implied features in them by using the proposed CNN. The CNN architecture has three Convolution-MaxPooling blocks and two fully connected layers. As a result of the experiment, the 30-60 Hz gamma band showed dominant characteristics in identifying EEG, and when other frequency bands were added to the gamma band, the EEG classification performance was improved. They also show that the proposed CNN is effective in detecting ADHD in children.

Merging, Recoiling, or Slingshotting of Supermassive Black Holes in a Red AGN 1659+1834

  • Kim, Dohyeong;Im, Myungshin
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.1
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    • pp.31.1-31.1
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    • 2021
  • We report the Gemini Multi-Object Spectrograph (GMOS) Integral Field Unit (IFU) observation of a red active galactic nucleus (AGN), 2MASSJ165939.7+183436 (1659+1834). 1659+1834 is a prospective merging supermassive black hole (SMBH) candidate due to its merging features and double-peaked broad emission lines. The double-peaked broad emission lines are kinematically separated by 3000 km/s, with the SMBH of each component weighing at 10^8.9 and 10^7.1 solar mass. Our GMOS IFU observation reveals that the two components of the double-peaked broad emission line are spatially separated by 0.085" (~250pc). In different assumptions for the line fitting, however, a null (<0.05") or a larger spatial separation (~0.15") are also possible. For this GMOS IFU observational results of 1659+1834, various models can be viable solutions, such as the disk emitter and multiple SMBH models. We believe that these results show the need for future research of finding more multiple SMBH systems in red AGNs.

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Monocular Vision Based Localization System using Hybrid Features from Ceiling Images for Robot Navigation in an Indoor Environment (실내 환경에서의 로봇 자율주행을 위한 천장영상으로부터의 이종 특징점을 이용한 단일비전 기반 자기 위치 추정 시스템)

  • Kang, Jung-Won;Bang, Seok-Won;Atkeson, Christopher G.;Hong, Young-Jin;Suh, Jin-Ho;Lee, Jung-Woo;Chung, Myung-Jin
    • The Journal of Korea Robotics Society
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    • v.6 no.3
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    • pp.197-209
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    • 2011
  • This paper presents a localization system using ceiling images in a large indoor environment. For a system with low cost and complexity, we propose a single camera based system that utilizes ceiling images acquired from a camera installed to point upwards. For reliable operation, we propose a method using hybrid features which include natural landmarks in a natural scene and artificial landmarks observable in an infrared ray domain. Compared with previous works utilizing only infrared based features, our method reduces the required number of artificial features as we exploit both natural and artificial features. In addition, compared with previous works using only natural scene, our method has an advantage in the convergence speed and robustness as an observation of an artificial feature provides a crucial clue for robot pose estimation. In an experiment with challenging situations in a real environment, our method was performed impressively in terms of the robustness and accuracy. To our knowledge, our method is the first ceiling vision based localization method using features from both visible and infrared rays domains. Our system can be easily utilized with a variety of service robot applications in a large indoor environment.

Geometric Correction of IKONOS-2 Geo-level Satellite Imagery Using LiDAR Data - Using Linear Features as Registration Primitivess (항공레이저측량 자료를 활용한 IKONOS-2 위성영상의 기하보정에 관한 연구 - 선형요소를 기하보정의 기본요소로 활용하여)

  • Lee, Jae-Bin;Kim, Yong-Min;Lee, Hyo-Seong;Yu, Ki-Yun;Kim, Yong-Il
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.25 no.3
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    • pp.183-190
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    • 2007
  • To make use of surveying data obtained from different sensors and different techniques, it is a pre-requite step that register them in a common coordinate system. For this purpose, we developed methodologies to register IKONOS-2 Satellite Imagery using LiDAR(Light Detection And Ranging) data. To achieve this, conjugate features from these data should be extracted in advance. In this study, linear features are chosen as conjugate features. Then, to register them, observation equations are established from similarity measurements of the extracted features and the results was evaluated statistically. The results clearly demonstrate that the proposed algorithms are appropriate to register these data.

Co-registration of Airborne Photo, LIDAR data, and Digital Map for construction of 3D Terrain Map - Using Linear Features (3차원 지형지도 작성을 위한 항공사진, LIDAR 데이터, 수치지도의 Co-registration 기법 연구 - Linear feature를 기반으로)

  • Lee Jae-Bin;Kim Ji-Young;Park Seung-Ryong;Yu Ki-Yun
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.235-241
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    • 2006
  • The demand of 3D terrain mapping techniques is increasing in many application fields such as CNS(Car Navigation System), web service system, DMB(Digital Multimedia Broadcasting) systems and etc To construct a 3D terrain map, it is a pre-requite step that register data collected from different surveying sources. This Paper Present the methodology to register airborne photo, LIDAR data, and digital map, which are major data sources to create a 3D terrain mao. For this purpose, we developed the generally applicable algorithm that uses linear features to register airborne photos and digital maps to LIDAR data. The algorithm explicitly formulates step-by-step methodologies to establish observation equations for transformation. The results clearly demonstrate the proposed algorithm is appropriate to register these data sources.

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Observation on Neck Form of Young Japanese Women for Clothing Design I - A Method for Approximate Development of 3-D Measure Valuses - (의복설계를 위한 성인여성의 경부형태의 관찰 I - 도형의 자동제도를 위한 3차원 계측지의 처리방법 -)

  • 최영옥
    • Journal of the Korean Society of Costume
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    • v.31
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    • pp.89-99
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    • 1997
  • In order to know what sorts of features of neck fore may be required to make plans for tight fitting collars the neck form of young japanese women were measured three deme-nsionally using. GRASP(Grating projection System for Profiling) and plaster torso. The following results were obtained: 1. We could be known the features of neck form for tight fitting collars by using both plaster torso method and GRASP method. 2. By the BASIC language in NEC computer and EXCEL package program in macin-TOSHI computer it became possible to draft a numble of neck surface automatically there-fore we got analysis of a mass of subjects.

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Classification of C. elegans Behavioral Phenotypes Using Clustering (클러스터링을 이용한 C. elegans 행동표현형 분류)

  • Nah, Won;Baek, Joong-Hwan
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1743-1746
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    • 2003
  • C. elegans often used to study of function of gene, but it is difficult for human observation to distinguish the mutants of C. elegans. To solve this problem, the system, which can be classified automatically using the computer vision, is studying now. In the previous works , they described the auto-tracking system and the egg-laying timing modeling, which are used to automated-classily system. In this paper, we use three kinds of features, which are related to movement , size and posture of the worm, and each feature is described mathematically and normalized. In experimental result, we validated the features for the hierarchical clustering, And we used the Calinski and Harabasz's method to find the appropriate cluster number.

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