• Title/Summary/Keyword: Field attraction

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The Numerical Analysis off the Flow-field Around the Korean Tilting Train Express (한국형 틸팅 열차 주위 유동장 수치 해석)

  • 윤수환;김태윤;고태환;권혁빈;이동호
    • Journal of the Korean Society for Railway
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    • v.7 no.3
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    • pp.193-199
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    • 2004
  • Numerical analysis of aerodynamic characteristics was differently performed according to the running situation of the Korean Tilting Train eXpress(TTX) that would be introduced for an improvement in efficiency of the used railroad track. Fluent 6.0 was used for the analysis of Non-tilting case, Tilting case and Passing-by case with the model of TTX. As a result, the aerodynamic drag had little difference between Tilting and Non-tilting case. However, pressure contour under the train of Tilting case was not symmetry because the gap between a train and the ground was different at both sides. In Passing-by case attraction and counterattraction occurred alternately and affected to the opposite train. When two trains were side by side, the maximum attraction was generated especially. Through an analysis of pressure wave in tunnel a large variation of pressure was generated by the bluff nose of TTX. The results in this study would be good data for the aerodynamic characteristic on TTX and provide important information to judgment of running safety.

Development of Exhibits Preference Analysis Method using Deep Learning for Science Museum (딥러닝을 활용한 과학관 전시품 선호도 분석 방법 개발)

  • Yu, Jun Sang;Kang, Bo-Yeong
    • Journal of Korea Multimedia Society
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    • v.24 no.1
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    • pp.40-50
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    • 2021
  • Science museum are dealing with exhibits on field of changing science and technology, and previous research suggested that exhibits replacement should carried out at least every 5 years. In order to efficiently replace exhibits within a limited budget, various studies analyzed visitors' preferences to exhibits. Recently, studies use various technologies to collect the data on visitors' preferences automatically, but almost of studies had a high dependency on their visitors such as visitors needed to carry specific sub-devices in the museums for gathering data. As complementing the limitations of previous research, this study introduces the improved method which is able to automatically collect and quantify visitors' preferences to exhibits using TensorFlow, a deep learning technology. By the proposed analysis method, it was possible to collect 2,520 data of visitors' experience on exhibits in totality. Based on collected data, attraction power and holding power indicating the preference of visitors on exhibits were able to be calculated. The result also confirmed antecedent research conclusion that the attraction power and holding power of the exhibit which consists of 3 dimensional structures work are higher than other exhibits. As a conclusion, the proposed method will provide more convenient data collection method for detecting visitors' preference.

3D Affordance Field based Crowd Agent Behavior Simulation (3D 행동 유도장 기반 대규모 에이전트 행동 시뮬레이션)

  • Ok, Sooyol;Han, MyungWoo;Lee, Suk-Hwan
    • Journal of Korea Multimedia Society
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    • v.24 no.5
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    • pp.629-641
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    • 2021
  • Crowd behavior simulations have been studied to further accelerated and refined by parallelism by inducing agent-interacting forces into the image field representing the forces of attraction and repulsion. However, it was difficult to consider rapidly changing environments such as fire situations in buildings because texture images must be generated in advance simulation starts and simulations can only be performed in 2D spaces. In this paper, we propose a crowd agent behavior simulation method based on agent's 3D affordance field for flexible agent behavior in variable geomorphological environments in 3D space. The proposed method generates 3D affordance field related to agents and sensors in 3D space and defines the agent behavior in 3D space for the crowd behavior simulation based on an image-inducing field to a 3D space. Experimental results verified that our method enables the development of large-scale crowd behavior simulations that are flexible to various fire evacuation situations in 3D virtual spaces.

Attraction Effect of Sunflowers to Metcalfa pruinosa (Say) (Hemiptera: Flatidae) as Trap Plants (트랩식물로서 해바라기의 미국선녀벌레 유인효과)

  • Choi, Yong-Seok;Hwang, In-Su;Lee, Gyeong-Ju;Kim, Min-Jung;Baek, Sunghoon;Seo, Hwa-Young
    • Korean journal of applied entomology
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    • v.59 no.4
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    • pp.427-432
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    • 2020
  • The ability of sunflower, bean, green perilla, and sesame to attract Metcalfa pruinosa was tested in both laboratory and field conditions. In the laboratory experiment, sunflowers showed the highest attractiveness to M. pruinosa nymphs and adults. These results were the same as those in the field experiment. Sunflowers showed the highest attractiveness among the four candidates as a trap plant for M. pruinosa, with comparable average attractiveness values for nymphs and adults to those in the laboratory. Young beans also showed high attractiveness to M. pruinosa, albeit lower than those of sunflowers. However, the attractiveness of mature beans was low. Sunflowers consistently (P < 0.05) showed significantly higher attractiveness than that of the other three plants, regardless of plant age. Thus, sunflowers would serve as a good trap plant for both the nymphs and adults of M. pruinosa.

Field Studies on the Sex Attraction of the Fall Webworm Moths(Hyphantria cunea D.) and the Development of Sex-Attractant Trap (흰불나방의 성유인과 Trap형에 관한 연구)

  • Choi Seung Yoon;Song Yu Han
    • Korean journal of applied entomology
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    • v.9 no.2
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    • pp.85-90
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    • 1970
  • This study was conducted to find out the evidence of a sex attraction in the fall webworm moths, Hyphantria cunea D., in the fold conditions. The study dealt with the sex attraction between the sexes, selection of effective trap type, effect of moth age on the sex attractiveness, sex attractiveness after copulation, and the time of the sex attraction in the day, The trap was baited with a living moth in the cylindrical screened case 4cm. in long and 2.7cm in diameter. The traps were attached on the tree in a horizontal position at the height of about 3m. on the ground. A sex pheromone was evident in the female moth which attracted the male to the lure, and the modified sticky trap was most effective in this experiment. The trap consisted of a cylindrical powder milk can 11.5cm. in long and 10cm. in diameter with the entry hole 4.8cm, in diameter at both ends of the can, and the inside of can was lined with paper coated with acri-soil(sodium poliacrilate) to catch them. Males were mostly attracted to females during their first 2 days of life, and its attractiveness decreased with moth age, No males were attracted to females more than five days old, and no females lived for more than six days. After copulation, sexual attractiveness was decreased swiftly, Sexual attractiveness was found to be greatest between 4 and 6 A.M. Living females can be used as effective baits for luring the males to the fold trapt.

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An Experiment about Assembling Condition of Carbon Nanotube Tip for AFM (주사탐침현미경용 카본나노튜브 팁의 조립 조건 실험)

  • 박준기;한창수
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.501-504
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    • 2004
  • This paper describes the fabrication method for atomic force microscopy(AFM) tip with multi-walled carbon nanotube(MWNT). For making a carbon nanotube (CNT) modified tips, AC electric field which cause the dielectrophoresis was used for alignment and deposition of CNTs in this research. By dropping the MWNT solution and applying an electric field between an AFM tip and an electrode, MWNTs which were dispersed into a diluted solution were directly assembled onto the apex of the AFM tips due to the attraction by the dielectrophoretic force. In this case, we investigate the effect of the angle between a tip axis and an electrode. Experimental setup were presented, and then CNT attached AFM tips are successfully shown in this paper.

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Simple Analysis for Interaction between Nanoparticles and Dye-Containing Vesicles as a Biomimetic Cell-Membrane

  • Shin, Sohyang;Umh, Ha Nee;Kim, Younghun
    • Bulletin of the Korean Chemical Society
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    • v.34 no.1
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    • pp.231-236
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    • 2013
  • Some cytotoxicity studies for the interpretation of the interaction between nanoparticles and cells are non-mechanistic and time-consuming. Therefore, non-biological screening methods, which are faster and simpler than in-vivo and in-vitro methods, are required as alternatives to current cytotoxicity tests. Here, we proposed a simple screening method for the analysis of the interaction between several AgNPs (bare-, citrate-, and polyvinylpyrrolidone-coating) and dye-containing vesicles acting as a biomimetic cell-membrane. The interaction between AgNPs and vesicles could be evaluated readily by UV-vis spectra. Absorbance deviation in UV-vis spectra revealed a large attraction between neighboring particles and vesicles. This was confirmed by (Derjagin, Landau, Verwey, and Overbeek) theory and DMF (dark-field microscopy) analysis. This proposed method might be useful for analyzing the cytotoxicity of nanoparticles with cell-membranes instead of in vitro or in vivo cytotoxicity tests.

A Study on the Revitalization of Tourism Industry through Big Data Analysis (한국관광 실태조사 빅 데이터 분석을 통한 관광산업 활성화 방안 연구)

  • Lee, Jungmi;Liu, Meina;Lim, Gyoo Gun
    • Journal of Intelligence and Information Systems
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    • v.24 no.2
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    • pp.149-169
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    • 2018
  • Korea is currently accumulating a large amount of data in public institutions based on the public data open policy and the "Government 3.0". Especially, a lot of data is accumulated in the tourism field. However, the academic discussions utilizing the tourism data are still limited. Moreover, the openness of the data of restaurants, hotels, and online tourism information, and how to use SNS Big Data in tourism are still limited. Therefore, utilization through tourism big data analysis is still low. In this paper, we tried to analyze influencing factors on foreign tourists' satisfaction in Korea through numerical data using data mining technique and R programming technique. In this study, we tried to find ways to revitalize the tourism industry by analyzing about 36,000 big data of the "Survey on the actual situation of foreign tourists from 2013 to 2015" surveyed by the Korea Culture & Tourism Research Institute. To do this, we analyzed the factors that have high influence on the 'Satisfaction', 'Revisit intention', and 'Recommendation' variables of foreign tourists. Furthermore, we analyzed the practical influences of the variables that are mentioned above. As a procedure of this study, we first integrated survey data of foreign tourists conducted by Korea Culture & Tourism Research Institute, which is stored in the tourist information system from 2013 to 2015, and eliminate unnecessary variables that are inconsistent with the research purpose among the integrated data. Some variables were modified to improve the accuracy of the analysis. And we analyzed the factors affecting the dependent variables by using data-mining methods: decision tree(C5.0, CART, CHAID, QUEST), artificial neural network, and logistic regression analysis of SPSS IBM Modeler 16.0. The seven variables that have the greatest effect on each dependent variable were derived. As a result of data analysis, it was found that seven major variables influencing 'overall satisfaction' were sightseeing spot attraction, food satisfaction, accommodation satisfaction, traffic satisfaction, guide service satisfaction, number of visiting places, and country. Variables that had a great influence appeared food satisfaction and sightseeing spot attraction. The seven variables that had the greatest influence on 'revisit intention' were the country, travel motivation, activity, food satisfaction, best activity, guide service satisfaction and sightseeing spot attraction. The most influential variables were food satisfaction and travel motivation for Korean style. Lastly, the seven variables that have the greatest influence on the 'recommendation intention' were the country, sightseeing spot attraction, number of visiting places, food satisfaction, activity, tour guide service satisfaction and cost. And then the variables that had the greatest influence were the country, sightseeing spot attraction, and food satisfaction. In addition, in order to grasp the influence of each independent variables more deeply, we used R programming to identify the influence of independent variables. As a result, it was found that the food satisfaction and sightseeing spot attraction were higher than other variables in overall satisfaction and had a greater effect than other influential variables. Revisit intention had a higher ${\beta}$ value in the travel motive as the purpose of Korean Wave than other variables. It will be necessary to have a policy that will lead to a substantial revisit of tourists by enhancing tourist attractions for the purpose of Korean Wave. Lastly, the recommendation had the same result of satisfaction as the sightseeing spot attraction and food satisfaction have higher ${\beta}$ value than other variables. From this analysis, we found that 'food satisfaction' and 'sightseeing spot attraction' variables were the common factors to influence three dependent variables that are mentioned above('Overall satisfaction', 'Revisit intention' and 'Recommendation'), and that those factors affected the satisfaction of travel in Korea significantly. The purpose of this study is to examine how to activate foreign tourists in Korea through big data analysis. It is expected to be used as basic data for analyzing tourism data and establishing effective tourism policy. It is expected to be used as a material to establish an activation plan that can contribute to tourism development in Korea in the future.

Review on the Relative Sea-level Changes in the Yellow Sea during the Late Holocene (한반도 서해안의 후기 홀로세 해수면 변동 곡선에 대한 검토)

  • Choi, Sung-Ja
    • Economic and Environmental Geology
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    • v.51 no.5
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    • pp.463-471
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    • 2018
  • In this paper, we review previous studies on the relative sea-level changes in the Yellow Sea during the Holocene to comprehensive understand the various research results. Currently, it is reported two theories : 1) the Holocene sea-level has never been higher than the present-day level; and 2) sea-level have reached highstand during mid-Holocene, followed by slow lowering to that of the present. The first theory yields a curve that is similar to a climate-change-related eustatic sea-level curve. However, in reality, most of the relative sea-level fluctuation resulted from land uplift or subsidence. The second theory yields a curve that is fairly coincident with a relative sea-level curve indicative of continental margins being located away from the ice sheets(i.e., far-field), and is considered as an effect of GIA(Glacio Isostatic Adjustment) and gravitational attraction. Based on detailed review of previous researches, we realized that they sourced the same papers, but obtained different results because they selectively chose and added the data. The data used to derive the second theory pertain to the northern Gunsan region, which is located within the western area of the Chugaryeong fault. Thus, we believe that the sea-level curve for the second theory is only representative of the area north of Gunsan, which is subject to GIA and tectonic deformation. Although the relative sea-level curve for the west coastal area is comparable to that for the far-field continental margin region, it is necessary to evaluate local tectonic activities as suggested by active seismicity in the west coastal area and the more than 400 faults currently existing in on the Korean Peninsula.

Koh Chang Island Eco-Tourism Mapping by Balloon-born Remote Sensing Imagery System

  • Kusanagi, Michiro;Nogami, Jun;Choomnoommanee, Tanapati;Laosuwan, Teerawong;Penaflor, Eileen;Shulian, Niu;Zuyan, Yao
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.894-896
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    • 2003
  • Koh Chang Island is located near the east border of Thailand. The government of Thailand promotes the island as a model of eco-tourism spots. The Island undeveloped until recent years, is expected to change to major tourist attraction. 'Digital Koh Chang project' has thus. The main objective of this project is to monitor the environment and land use status of the island and to support its sound development. In March 2003, a field survey of this project was planned and field data were collected using both airborne and ground platforms and an ocean vessel. These data were combined with satellite data in the laboratory. This presentation is all balloon-born system field operation. A 5-meter length balloon filled with Helium gas was used, whose payload consisted of two RGB standard color digital still cameras, two directional rotating servo motors, a camera mount cradle as well as signal transmitting and receiving components. A series of aerial high-resolution digital images were rather easily obtained using this inexpensive system, making it possible to monitor intended landscape features in a specific field. Design of simple, low-cost and easily transportable flying platforms and local field surveys using them are useful for getting local ground truth data to calibrate satellite or airborne-based RS data. The design analysis to upgrade the system is further investigated.

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