• Title/Summary/Keyword: Directional data

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Multi-DOF Real-time Hybrid Dynamic Test of a Steel Frame Structure (강 뼈대 구조물의 다자유도 실시간 하이브리드 동적 실험)

  • Kim, Sehoon;Na, Okpin;Kim, Sungil
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.2
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    • pp.443-453
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    • 2013
  • The hybrid test is one of the most advanced test methods to predict the structural dynamic behavior with the interaction between a physical substructure and a numerical modeling in the hybrid control system. The purpose of this study is to perform the multi-directional dynamic test of a steel frame structure with the real-time hybrid system and to evaluate the validation of the results. In this study, FEAPH, nonlinear finite element analysis program for hybrid only, was developed and the hybrid control system was optimized. The inefficient computational time was improved with a fixed number iteration method and parallel computational techniques used in FEAPH. Furthermore, the previously used data communication method and the interface between a substructure and an analysis program were simplified in the control system. As the results, the total processing time in real-time hybrid test was shortened up to 10 times of actual measured seismic period. In order to verify the accuracy and validation of the hybrid system, the linear and nonlinear dynamic tests with a steel framed structure were carried out so that the trend of displacement responses was almost in accord with the numerical results. However, the maximum displacement responses had somewhat differences due to the analysis errors in material nonlinearities and the occurrence of permanent displacements. Therefore, if the proper material model and numerical algorithms are developed, the real-time hybrid system could be used to evaluate the structural dynamic behavior and would be an effective testing method as a substitute for a shaking table test.

Location Determination and Measured Data Analysis of a Shipboard Indoor Signal Propagation Characteristics Based on Signature Sequence (서명 수열기반 선내 전파 전달특성 측정 위치선정 방안 및 측정 데이터 분석)

  • Kim, Jeong-Ho;Lee, Seong-Ro
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.1
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    • pp.198-201
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    • 2015
  • The prompt and accurate location determination of the nodes of the wireless indoor shipboard networks is crucial to forming the stable wireless shipboard sensor networks. To this end in this paper it can be achieved through the measurement of the bi-directional channel qualities among the nodes after the locations of the sensor nodes temporarily placed. For the 1st stage the piconet-type sensor networks are considered to measure the channel qualities between a specific node and the cluster node which is the master node. After finishing the 1st stage measurement the nodes needing the relay nodes are selected and the measurement action goes into the 2nd stage. In the 2nd stage the measurement between a candidate relay node and the node needing a relay node starts to begin. After the 2nd stage the relay nodes to connect to the cluster node are fixed and the information delivery paths between a node and the cluster head are established. In this paper the measurement results in the realistic environment are gathered and analysed to show that the measurement procedure can be applied in the wireless indoor shipboard networks.

Analytical Study on the Potential Risks from Right-Handled Vehicle Drivers (우측핸들차량 운전자의 잠재적 위험성 분석연구)

  • Park, Jun-Tae;Kim, Jeong-Hyun;Kang, Young-Kyun;Kim, Jang-Wook
    • Journal of Korean Society of Transportation
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    • v.30 no.2
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    • pp.67-78
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    • 2012
  • The current traffic regulations in Korea stipulate that traffic should keep to the right according to the Road Traffic Act; thus, customarily, the 'seat-on-the-left' system has been maintained. However, an increased number of 'seat-on-the-right' vehicles are being imported via a variety of routes from foreign countries, especially from Japan. According to the data from July 2004, 1,343 cargo vehicles and 593 passenger vehicles (for diplomats, etc.) were currently being driven on domestic road. As these 'seat-on-the-right' vehicles are not compatible with the domestic transportation system of driving on the right side of the road, there is a high risk of accidents. Experiments show that such system-driver mismatch causes longer operation time for directional signals, higher error frequency in yielding due to additional mental adjustments for 'seat-on-the-right' vehicle drivers. These are, therefore, influential factors which can lead to possible accidents. Furthermore, when the experiments test the visual range during overtaking maneuvers, the visual range of the drivers in the 'seat-on-the-left' vehicle was 2.95 meters as opposed to 1.7 meters for the drivers in the 'seat-on-the-right' vehicle. (In the experiment, the drivers were instructed to look at the paper cup 10 meters away from the back of drivers' seat.) The results demonstrate that it is necessary to have additional safety measures be implemented for the 'seat-on-the-right' vehicles.

A Study on the Optimal Setting of Large Uncharged Hole Boring Machine for Reducing Blast-induced Vibration Using Deep Learning (터널 발파 진동 저감을 위한 대구경 무장약공 천공 장비의 최적 세팅조건 산정을 위한 딥러닝 적용에 관한 연구)

  • Kim, Min-Seong;Lee, Je-Kyum;Choi, Yo-Hyun;Kim, Seon-Hong;Jeong, Keon-Woong;Kim, Ki-Lim;Lee, Sean Seungwon
    • Explosives and Blasting
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    • v.38 no.4
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    • pp.16-25
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    • 2020
  • Multi-setting smart-investigation of the ground and large uncharged hole boring (MSP) method to reduce the blast-induced vibration in a tunnel excavation is carried out over 50m of long-distance boring in a horizontal direction and thus has been accompanied by deviations in boring alignment because of the heavy and one-directional rotation of the rod. Therefore, the deviation has been adjusted through the boring machine's variable setting rely on the previous construction records and expert's experience. However, the geological characteristics, machine conditions, and inexperienced workers have caused significant deviation from the target alignment. The excessive deviation from the boring target may cause a delay in the construction schedule and economic losses. A deep learning-based prediction model has been developed to discover an ideal initial setting of the MSP machine. Dropout, early stopping, pre-training techniques have been employed to prevent overfitting in the training phase and, significantly improved the prediction results. These results showed the high possibility of developing the model to suggest the boring machine's optimum initial setting. We expect that optimized setting guidelines can be further developed through the continuous addition of the data and the additional consideration of the other factors.

An Investigation on the Network Analysis Papers by Content Analysis and Bibliometric Analysis (네트워크 분석 논문의 고찰: 계량서지적 분석과 내용분석을 중심으로)

  • Chung, EunKyung
    • Journal of the Korean Society for information Management
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    • v.38 no.1
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    • pp.169-190
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    • 2021
  • Research in various academic fields using network analysis techniques has been conducted and grown. This study performed bibliographical analysis and content analysis on a total of 2,187 network analysis papers published in journals from 2003 to 2021. The results showed that the fields of Pedagogy, Interdisciplinary Research, Computer Science, Library and Information Science, Public Administration, and Business Administration were higher in terms of the number of research papers. From the perspective of journal, mega-journals were indicated as the most productive journals. However, when looking at the impact based on the number of citations, the strength of Public Administration, Library and Information Science, and Pedagogy is clearly revealed. The results of the analysis by authors can also confirm the higher impact of Journalism, Public Administration Science, and Library and Information Science. Of the 1,537 authors identified, very few authors are active in research, confirming the need to expand the researcher base. The results of content analysis showed that the weighted and non-directional network was the most common network type with using the research papers as a data set. Generally nodes are expressed as words and links are expressed as relationship. For network analysis, the use of KrKwic, UCINET, NetMiner, and NetDraw is the most prominent.

Development of Plant Phenology and Snow Cover Detection Technique in Mountains using Internet Protocol Camera System (무인카메라 기반 산악지역 식물계절 및 적설 탐지 기술 개발)

  • Keunchang, Jang;Jea-Chul, Kim;Junghwa, Chun;Seokil, Jang;Chi Hyeon, Ahn;Bong Cheol, Kim
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.24 no.4
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    • pp.318-329
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    • 2022
  • Plant phenology including flowering, leaf unfolding, and leaf coloring in a forest is important to understand the forest ecosystem. Temperature rise due to recent climate change, however, can lead to plant phenology change as well as snowfall in winter season. Therefore, accurate monitoring of forest environment changes such as plant phenology and snow cover is essential to understand the climate change effect on forest management. These changes can monitor using a digital camera system. This paper introduces the detection methods for plant phenology and snow cover at the mountain region using an unmanned camera system that is a way to monitor the change of forest environment. In this study, the Automatic Mountain Meteorology Stations (AMOS) operated by Korea Forest Service (KFS) were selected as the testbed sites in order to systematize the plant phenology and snow cover detection in complex mountain areas. Multi-directional Internet Protocol (IP) camera system that is a kind of unmanned camera was installed at AMOS located in Seoul, Pyeongchang, Geochang, and Uljin. To detect the forest plant phenology and snow cover, the Red-Green-Blue (RGB) analysis based on the IP camera imagery was developed. The results produced by using image analysis captured from IP camera showed good performance in comparison with in-situ data. This result indicates that the utilization technique of IP camera system can capture the forest environment effectively and can be applied to various forest fields such as secure safety, forest ecosystem and disaster management, forestry, etc.

Classification of submitted nuclear medicine dissertation and directional consideration (핵의학 투고 논문 분류 및 방향성 고찰)

  • Ho-Yeon, Cho;Yeong-Ran, Woo;Kang-Rok, Seo;Gun-Chul, Hong
    • The Korean Journal of Nuclear Medicine Technology
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    • v.26 no.2
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    • pp.37-42
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    • 2022
  • Purpose Since 1985, the Korean society of nuclear medicine technology (KSNMT) has been engaged in academic activities related to nuclear medicine imaging. From 2017 to 2021, the papers published in the journal were classified by the specific fields to examine the trends in the research and the direction of nuclear medicine in comparison with the papers submitted to the Korean Society of Nuclear Medicine (KSNM) during the same period. Materials and Methods From 2017 to 2021, papers submitted to KSNMT and KSNM were classified and databaseization using the Excel program by submission type, examination equipment, and examination field. Through this data, the number of papers published in journals by year, the number of papers submitted by detailed fields, and key words by era were analyzed and compared. Results The papers included by journal was 57 KSNMT and 280 KSNM. The major large classification of equipment, PET, Planar and SPECT was 26.3%, 21.1%, 19.3% in the KSNMT, KSNM was 49.6%, 6.4%, and 9.3%, with 66.7% and 65.3%, respectively. the major medium classification of equipment, industrial safety, urogenital system, nervous system, and quality control accounted for 54.4% of the total papers of the total ratio in the KSNMT, while the medium classification of oncology, endocrine system, urogenital system, therapy, and nervous system accounted for 61.1% of KSNM. In the major small classification of image acquisition, improvement effect, and exposure management accounted for 70.2% in KSNMT, while the items of image acquisition, report, and improvement effect accounted for 60.7% in KSNM. The major keywords except for equipment-related keywords such as PET/CT, PET/MR, and SPECT were SUV, Planar Image, and Respiration Gating Method in KSNMT and Ga68, Thyroid, and Lymphoma in the KSNM. Conclusion When checking the last 5 years of submissions, we can see that KSNMT is mainly concerned with image acquisition using existing radiotracers, while KSNM has focused on new radiotracers such as 68Ga, 177Lu, etc., and new medical technologies of theranostic. It has been confirmed that more PET-related papers than other examination equipment will account for a greater number of papers, and it is believed that future submissions will also account for a higher proportion of PET-related papers than other equipment.

Receptivity to Migrant Wives in Korea: A Qualitative Approach (여성결혼이민자에 대한 지역사회 수용성: 안산과 영암의 지역주민을 중심으로)

  • Hoon-Seok Choi ;Ai-Gyung Yang ;Sun-Ju Lee
    • Korean Journal of Culture and Social Issue
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    • v.14 no.4
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    • pp.39-69
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    • 2008
  • The present study examined the overall receptivity of community members to migrant wives in Korea. A total of 23 community members from two regions, Ansan, an urban area and Youngam, a rural area, were selected for the interview based on their prior experience with migrant wives. Data were collected via a semi-structured interview method. The participants provided their personal feelings and thoughts on a variety of issues involving migrant wives, such as how they perceive migrant wives' original culture and lifestyles, the nature of their interaction experience with migrant wives, their overall evaluation of migrant wives, their opinions about migrant wives' cultural adaptation, and their opinions about the on-going transformation of the Korean society into a multi-racial, multi-cultural society. Interview results indicated that, although the participants' attitude toward migrant wives was positive, the overall receptivity to migrant wives was largely based on the traditional sex-role stereotypes typically found in the Korean society. Moreover, the vast majority of the participants endorsed a narrow-minded, uni-directional perspective on cultural adaptation which puts far greater emphasis on migrant wives' assimilation into the host culture than reciprocal influence process between the two cultures. Implications of the study and directions for future research were discussed.

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Development of the Risk Evaluation Model for Rear End Collision on the Basis of Microscopic Driving Behaviors (미시적 주행행태를 반영한 후미추돌위험 평가모형 개발)

  • Chung, Sung-Bong;Song, Ki-Han;Park, Chang-Ho;Chon, Kyung-Soo;Kho, Seung-Young
    • Journal of Korean Society of Transportation
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    • v.22 no.6
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    • pp.133-144
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    • 2004
  • A model and a measure which can evaluate the risk of rear end collision are developed. Most traffic accidents involve multiple causes such as the human factor, the vehicle factor, and the highway element at any given time. Thus, these factors should be considered in analyzing the risk of an accident and in developing safety models. Although most risky situations and accidents on the roads result from the poor response of a driver to various stimuli, many researchers have modeled the risk or accident by analyzing only the stimuli without considering the response of a driver. Hence, the reliabilities of those models turned out to be low. Thus in developing the model behaviors of a driver, such as reaction time and deceleration rate, are considered. In the past, most studies tried to analyze the relationships between a risk and an accident directly but they, due to the difficulty of finding out the directional relationships between these factors, developed a model by considering these factors, developed a model by considering indirect factors such as volume, speed, etc. However, if the relationships between risk and accidents are looked into in detail, it can be seen that they are linked by the behaviors of a driver, and depending on drivers the risk as it is on the road-vehicle system may be ignored or call drivers' attention. Therefore, an accident depends on how a driver handles risk, so that the more related risk to and accident occurrence is not the risk itself but the risk responded by a driver. Thus, in this study, the behaviors of a driver are considered in the model and to reflect these behaviors three concepts related to accidents are introduced. And safe stopping distance and accident occurrence probability were used for better understanding and for more reliable modeling of the risk. The index which can represent the risk is also developed based on measures used in evaluating noise level, and for the risk comparison between various situations, the equivalent risk level, considering the intensity and duration time, is developed by means of the weighted average. Validation is performed with field surveys on the expressway of Seoul, and the test vehicle was made to collect the traffic flow data, such as deceleration rate, speed and spacing. Based on this data, the risk by section, lane and traffic flow conditions are evaluated and compared with the accident data and traffic conditions. The evaluated risk level corresponds closely to the patterns of actual traffic conditions and counts of accident. The model and the method developed in this study can be applied to various fields, such as safety test of traffic flow, establishment of operation & management strategy for reliable traffic flow, and the safety test for the control algorithm in the advanced safety vehicles and many others.

A Technique Assessing Geological Lineaments Using Remotely Sensed Data and DEM : Euiseons Area, Kyungsang Basin (원격탐사자료와 수치표고모형을 이용한 지질학적 선구조 분석기술: 경상분지 의성지역을 중심으로)

  • 김원균;원중선;김상완
    • Korean Journal of Remote Sensing
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    • v.12 no.2
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    • pp.139-154
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    • 1996
  • In order to evaluate the sensor`s look direction bias in the Landsat TM image and to estimate trends of primary geological lineaments, we have attempted to systematically compare lineaments in TM image, relief shadowed DEM's, and actual lineaments of geologic and topographic map through the Hough transform technique. Hough transform is known to be very effective to estimate the trend of geological lineaments, and help us to obtain the true trends of lineaments. It is often necessary to compensate the preferential enhancements of terrain lineaments in a TM image occurred by to look direction bias, and that can be achieved by utilizing an auxiliary data. In this study, we have successfully adopted the relief shadowed DEM in which the illuminating azimuth angle is perpendicular to look direction of a TM image for assessing true trends of geological lineaments. The results also show that the sum of four relief shadowed DEM's directional components can possibly be used as an alternative. In Euiseong-gun area where Sindong Group and Mayans Group are mainly distributed, geological lineaments trending $N5^{\circ}$~$10^{\circ}$W are dominant, while those of $N55^{\circ}$~$65^{\circ}$ W are major trends in Cheongsong-gun area where Hayang Group, Yucheon Group and Bulguksa Granite are distributed. Using relief shadowed DEM as an auxiliary data, we found the $N55^{\circ}$~$65^{\circ}$ W lineaments which are not cleanly observed in TM image over Euiseong-gun area. Compared with the trend of Gumchon and Gaum strike-slip faults, these lineaments are considered to be an extension of the faults. Therefore these strike-slip faults possibly extend up to Sindong Group in the northwest parts in the study area.