• Title/Summary/Keyword: unusual data

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Detection of Forest Ecosystem Disturbance Using Satellite Images and ISODATA (위성영상과 자기조직화 분류기법을 이용한 산림생태계교란 탐지: 우박 피해지와 매미나방 피해지의 사례연구)

  • Kim, Daesun;Kim, Eun-Sook;Lim, Jong-Hwan;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.36 no.5_1
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    • pp.835-846
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    • 2020
  • Recent severe climate changes and extreme weather events have caused the uncommon types of forest ecosystem disturbances such as hails and gypsy moths. This paper describes the analysis of the forest ecosystem disturbances using ISODATA (Iterative Self-organizing Data Analysis Technique Algorithm) with the RapidEye and Sentinel-2 images, regarding the cases of the hail damages in Hwasun in 2017 and the gypsy moth damages in the Chiak Mountain in 2020. In the case of hail damages, the comparison of the June image of this study and the July field survey of the previous study showed that the damage severity increased from June to July as the drought overlapped after the trees were injured by the hails. In the case of gypsy moths, significant leaf damages were found from the image of June, and the damages were mainly distributed at the low-altitude slope near Wonju City. We made sure that satellite remote sensing is a very effective method to detect various and unusual forest ecosystem disturbances caused by climate change. Also, it is expected that the Korean Medium Satellite for Agriculture and Forestry scheduled to launch in 2024 can be actively utilized to monitor such forest ecosystem disturbances.

Open Channel Characteristics on Different Land Cover for Neponset River, Boston, MA (상이한 토지이용에서 나타나는 하천의 특성에 관한 연구 : 메사추세츠 보스턴의 네폰셋강의 사례연구)

  • Lee, Ja-Won
    • Journal of the Korean association of regional geographers
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    • v.16 no.2
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    • pp.100-109
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    • 2010
  • The study examines two different sites to analyze the difference of stream channel profile between two different landuse areas on Neponset River, Boston, MA. Landuse represents the current status of land in terms of human, agricultural or forest, industry and environmental activity types. According to the previous research, forest and urban area are significantly distinguished in chemical characteristic, shape and bed load of the stream. On the chosen sites, I look at the cross-section profile, the slope, velocity, and roughness of the channels. With the data collected at the site I determined the value for the channel bed material using Manning's equation, and compared with the result of HEC-RAS model with the cross-section profile data I measured. In the forest area, water surface elevation and bed material obtained through Manning's equation are very close to HEC-RAS model result. However, in the resident area the Manning's 'n' value calculated much higher than assumption which was considered as cobble whose 'n' value is 0.03-0.06. The difference could be caused by unusual steep elevation on the site and the dam present down further. With the steep elevation upside of dam, there is critical-depth condition occurs. The difference of Manning's 'n' value reflects the difference of depth. HEC-RAS model was run to analyze the difference and the result shows that depth is 0.36 much less than 0.688 what I computed when the Manning's n value is 0.03(cobble) instead of the result of the study (0.13292). Beside, dam is a major source of fragmentation and degradation of stream, and it's possibly inferred upstream water levels are increased and stream velocity is decreased. This study is meaningful for introduction of HEC-RAS in geography field to analyze different sites with channel bed material, and it is going to be used more actively to manage river and river side.

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A Point Rainfal1 Model and Rainfall Intensity-Duration-Frequency Analysis (점 강우모형과 강우강도-지속기간-생기빈도 해석)

  • Yu, Cheol-Sang;Kim, Nam-Won;Jeong, Gwang-Sik
    • Journal of Korea Water Resources Association
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    • v.34 no.6
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    • pp.577-586
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    • 2001
  • This study proposes a theoretical methodology for deriving a rainfall intensity-duration- frequency (I-D-F) curve using a simple rectangular pulses Poisson process model. As the I-D-F curve derived by considering the model structure is dependent on the rainfall model parameters estimated using the observed first and second order statistics, it becomes less sensitive to the unusual rainfall events than that derided using the annual maxima rainfall series. This study has been applied to the rainfall data at Seoul and Inchon stations to check its applicability by comparing the two I-D-F carves from the model and the data. The results obtained are as followed. (1) As the duration becomes longer, the overlap probability increases significantly. However, its contribution to the rainfall intensity decreases a little. (2) When considering the overlap of each rainfall event, especially for large duration and return period, we could see obvious increases of rainfall intensity. This result is normal as the rainfall intensity is calculated by considering both the overlap probability and return period. Also, the overlap effect for Seoul station is fecund much higher than that for Inchon station, which is mainly due to the different overlap probabilities calculated using different rainfall model parameter sets. (3) As the rectangular pulses Poisson processes model used in this study cannot consider the clustering characteristics of rainfall, the derived I-D-F curves show less rainfall intensities than those from the annual maxima series. However, overall pattern of both I-D-F curves are found very similar, and the difference is believed to be overcome by use of a rainfall model with the clustering consideration.

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Exploring Learning Progression of Logical Thinking in Acid and Base Chemical Reactions (산과 염기 화학반응에서 논리 사고 학습발달단계 탐색)

  • Park, Chulyong;Kim, Sungki;Choi, Hee;Paik, Seoung-Hey
    • Journal of the Korean Chemical Society
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    • v.63 no.5
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    • pp.376-386
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    • 2019
  • The purpose of this study was to explore the learning progression of logical thinking in acid and base chemical reactions and to evaluate its validity. For this purpose, we collected 387 participants in 9 schools of elementary, middle and high schools nationwide. The questionnaire developed in this study was composed of nine items. The questionnaire presented the acid and base reactants and products, and the students pictured their thoughts on how these substances change, and answered the reasons of their thoughts. Situation contexts of the questionnaire were divided into two groups: one kind of solute dissolved in a solvent, and two kinds of solute dissolved in a solvent. In this study, six levels of learning progression were assumed by combining material conservation logic, combination logic, proportion logic, and particle number conservation logic. By analyzing the data, Infit and Outfit values of Person reliability, Item reliability, MNSQ and ZSTD were obtained from the Rasch model. As a result of the analysis of data, it was found that lower levels of learning progression prevailed up to the younger grade students till $8^{th}$ grade. The higher levels of learning progression(Level 2~Level 5) prevailed up to the older grade students. However, higher levels of learning progression dropped sharply in Grade 12. The 5 level of learning progression was very low in all grades, and $9^{th}$ grade had highest percentage of students belonging to the 5 level. Interpretation of these unusual results suggests a future research related to explanation differences of textbooks.

A Study on the Rate of Change and Direction of Passengers by Major Airlines (주요 항공사별 여객의 변동률 및 방향성 연구)

  • Soo-Ho Choi;Jeong-Il Choi
    • Industry Promotion Research
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    • v.9 no.2
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    • pp.13-22
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    • 2024
  • The purpose of this study is to derive passenger trends and change rates for each airline and identify directionality and synchronization phenomenon. Data by each airlines was collected from the National Statistics Forum of Statistics Korea, and we used a total of 156 monthly data from January 2011 to December 2023. In this study, the rate of change was calculated for domestic Full Service Carriers (Korean Air, Asiana Airlines) and Low Cost Carriers (Jeju Air, Jin Air, T'way, foreign airlines). As a result of the analysis, the correlation was found to be high for KOREA in that order: Asiana, Korean Air, Jeju Air, T'way, Jin Air, foreign airlines. The rate of increase was highest in that order: T'way, Jin Air, Jeju Air, foreign airlines, Asiana, Korean Air. In the Scatter analysis, Asiana and Korean Air showed a very strong synchronization with KOREA. In addition, Jeju Air, T'way, Jin Air and foreign airlines also showed the same direction toward KOREA to a certain degree. In the Box-Box Plot analysis, it was determined that each airline experienced a number of unusual sudden fluctuations due to the outbreak of COVID-19. Passengers have a wider range of choices due to the emergence of Low Cost Carriers, and as a result, expectations for airline service are increasing. Airlines will need to make appropriate environmental improvements to satisfy these needs for corporate development.

Identifying Landscape Perceptions of Visitors' to the Taean Coast National Park Using Social Media Data - Focused on Kkotji Beach, Sinduri Coastal Sand Dune, and Manlipo Beach - (소셜미디어 데이터를 활용한 태안해안국립공원 방문객의 경관인식 파악 - 꽃지해수욕장·신두리해안사구·만리포해수욕장을 대상으로 -)

  • Lee, Sung-Hee;Son, Yong-Hoon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.46 no.5
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    • pp.10-21
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    • 2018
  • This study used text mining methodology to focus on the perceptions of the landscape embedded in text that users spontaneously uploaded to the "Taean Travel"blogpost. The study area is the Taean Coast National Park. Most of the places that are searched by 'Taean Travel' on the blog were located in the Taean Coast National Park. We conducted a network analysis on the top three places and extracted keywords related to the landscape. Finally, using a centrality and cohesion analysis, we derived landscape perceptions and the major characteristics of those landscapes. As a result of the study, it was possible to identify the main tourist places in Taean, the individual landscape experience, and the landscape perception in specific places. There were three different types of landscape characteristics: atmosphere-related keywords, which appeared in Kkotji Beach, symbolic image-related keywords appeared in Sinduri Coastal Sand Dune, and landscape objects-related appeared in Manlipo Beach. It can be inferred that the characteristics of these three places are perceived differently. Kkotji Beach is recognized as a place to appreciate a view the sunset and is a base for the Taean Coast National Park's trekking course. Sinduri Coastal Sand Dune is recognized as a place with unusual scenery, and is an ecologically valuable space. Finally, Manlipo Beach is adjacent to the Chunlipo Arboretum, which is often visited by tourists, and the beach itself is recognized as a place with an impressive appearance. Social media data is very useful because it can enable analysis of various types of contents that are not from an expert's point of view. In this study, we used social media data to analyze various aspects of how people perceive and enjoy landscapes by integrating various content, such as landscape objects, images, and activities. However, because social media data may be amplified or distorted by users' memories and perceptions, field surveys are needed to verify the results of this study.

Relationship between Mental health and Social Support of Junior College Students (전문대학생(專門大學生)의 정신건강(精神健康)과 사회적(社會的) 지지(支持)와의 관련성(關聯性))

  • Kim, Sung Young;Cha, Byeong Jun;Park, Jae Yong;Kam, Sin
    • Journal of the Korean Society of School Health
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    • v.8 no.2
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    • pp.277-291
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    • 1995
  • The study was designed to grasp the mental health of junior college students and identify the relation between mental health and social support. The subjects for this study were 781 sophomores attending T junior college in Taegu. The data were collected through questionnaire during the period from september 10,1993 to september 24, 1993. The results of this can be summarized as follows: In mental health the average mark was 1.94 on the basis of 5 marks. Those whose mark was more than 75% (low) had Depression(8.7%),Obsessive compulsive reaction(5.2%) Anxiety(3.6%). In social support, the average mark was 3.03 on the basis of 4 marks, which showed comparatively high support; relationship with friends was 75.4%, companionship was 75.4%, and mutual understanding was 72.3%. Many students got more than 75% in total marks. In the state of mental health, there was a significant difference depending on sex, total income, the character and the attitude toward his parents. There is also an unusual difference in social support depending on the major subjects, the character, the problem at present and the attitude toward his parents. In mental health, both male and female students got higher marks in Depression, Obsessive compulsive reaction than in any other item. In social support level all students had a high support in the relationship with friends and mutual understanding. Those who are affectionate to and dependent on their parents had a tendency to have better mental health. The simple correlation modules between social support mark and mental health one was -0.5555 and the partial correlation modules of controlling sex, age, growth place was -0.5557. There was little difference between them. In mental health items Interpersonal sensitivity was highest correlated with social support and Somatinization was lowest correlated. There was a significant correlation between mental health and social support: the higher social support were, the better mental health was. In conclusion, the study showed that the relationship between the social support and the mental health level revealed a significant correlation. In social support Expressive support (companionship support, mutual understanding support) showed a higher degree of support than instrumental support(monetary support, demand support). Therefore, in the guidance of students, it is necessary to expand expressive support considering these respects. Further multidimensional study is needed on how to improve the mental health of junior students through the social support.

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Intelligent Railway Detection Algorithm Fusing Image Processing and Deep Learning for the Prevent of Unusual Events (철도 궤도의 이상상황 예방을 위한 영상처리와 딥러닝을 융합한 지능형 철도 레일 탐지 알고리즘)

  • Jung, Ju-ho;Kim, Da-hyeon;Kim, Chul-su;Oh, Ryum-duck;Ahn, Jun-ho
    • Journal of Internet Computing and Services
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    • v.21 no.4
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    • pp.109-116
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    • 2020
  • With the advent of high-speed railways, railways are one of the most frequently used means of transportation at home and abroad. In addition, in terms of environment, carbon dioxide emissions are lower and energy efficiency is higher than other transportation. As the interest in railways increases, the issue related to railway safety is one of the important concerns. Among them, visual abnormalities occur when various obstacles such as animals and people suddenly appear in front of the railroad. To prevent these accidents, detecting rail tracks is one of the areas that must basically be detected. Images can be collected through cameras installed on railways, and the method of detecting railway rails has a traditional method and a method using deep learning algorithm. The traditional method is difficult to detect accurately due to the various noise around the rail, and using the deep learning algorithm, it can detect accurately, and it combines the two algorithms to detect the exact rail. The proposed algorithm determines the accuracy of railway rail detection based on the data collected.

Theoretical and quantitative structural relationships of the electrochemical properties of Cis-unsaturated thiocrown ethers and n-type material bulk-heterojunction polymer solar cells as supramolecular complexes [X-UT-Y]@R (R = PCBM, p-EHO-PCBM, and p-EHO-PCBA)

  • Taherpour, Avat Arman;Biuki, Farzaneh
    • Journal of Information Display
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    • v.12 no.3
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    • pp.145-152
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    • 2011
  • Since the discovery of fullerenes as a class of nanostructure compounds, many potential applications have been suggested for their unusual structures and properties. The isolated pentagon rule (IPR) states that all pentagonal carbon rings are isolated in the most stable fullerene. Fullerenes $C_n$ are a class of spherical carbon allotrope group with unique properties. Electron transfer between fullerenes and other molecules is thought to involve the transfer of electrons between the molecules surrounding the fullerene cage. One class of electron transfer molecules is the methanofullerene derivatives ([6,6]-phenyl $C_{61}$-butyric acid methyl ester (PCBM), 4-(2-ethylhexyloxy)-[6,6]-phenyl $C_{61}$-butyric acid methyl ester (p-EHO-PCBM), and 4-(2-ethylhexyloxy)-[6,6]-phenyl $C_{61}$-butyric acid (p-EHO-PCBA), 10-12). It has been determined that $C_{60}$ does not obey IPR. Supramolecular complexes 1-9 and 10-12 are shown to possess a previously unreported host.guest interaction for electron transfer processes. The unsaturated, cis-geometry, thiocrown ethers, (1-9) (described as [X-UT-Y], where X and Y indicate the numbers of carbon and sulfur atoms, respectively), are a group of crown ethers that display interesting physiochemical properties in the light of their conformational restriction compared with a corresponding saturated system, as well as the sizes of their cavities. Topological indices have been successfully used to construct mathematical methods that relate structural data to various chemical and physical properties. To establish a good relationship between the structures of 1-9 with 10-12, a new index is introduced, ${\mu}_{cs}$. This index is the ratio of the sum of the number of carbon atoms ($n_c$) and the number of sulfur atoms ($n_s$) to the product of these two numbers for 1-9. In this study, the relationships between this index and oxidation potential ($^{ox}E_1$) of 1-9, as well as the first to third free energies of electron transfer (${\Delta}G_{et(n)}$, for n = 1-3, which is given by the Rehm-Weller equation) between 1-9 and PCBM, p-EHO-PCBM, and p-EHO-PCBA (10-12) as [X-UT-Y]@R(where R is the adduct PCBM, p-EHO-PCBM, and p-EHO-PCBA group) (13-15) supramolecular complexes are presented and investigated.

Instantaneous Monitoring of Pollen Distribution in the Atmosphere by Surface-based Lidar (지상 라이다를 이용한 대기중 꽃가루 분포 실시간 모니터링)

  • Noh, Young-Min;Mueller, Detlef;Lee, Kwon-Ho;Choi, Young-Jean;Kim, Kyu-Rang;Lee, Han-Lim;Choi, Tae-Jin
    • Korean Journal of Remote Sensing
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    • v.28 no.1
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    • pp.1-9
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    • 2012
  • The diurnal variation in pollen vertical distributions in the atmosphere was observed by a surface-based lidar remote sensing technique. Aerosol extinction coefficient and depolarization ratio at 532 nm were obtained from lidar measurements in spring ($4^{th}$ May - $2^{nd}$ June) 2009 at Gwangju Institute of Science & Technology (GIST) located in Gwangju, Korea ($35.15^{\circ}E$, $126.53^{\circ}N$). Unusual variations of depolarization ratio were observed for six days from $4^{th}$ to $9^{th}$ May. Depolarization ratios varied from 0.08 to 0.14 were detected at the low altitude in the morning. The altitude with those high depolarization ratios was increased up to 1.5 - 2.0 km at the time interval between 12:00 and 14:00 LT and then decreased. The temporal variations in high values of depolarization ratios from lidar measurements show good agreement in patterns with the sampled pollen concentrations measured using the Burkard trap sampler. This study demonstrates that the pollen distribution data obtained by lidar measurements can be a useful tool for investigating spatial and temporal characteristic of pollen particles.