• 한국컴퓨터게임학회논문지
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• 제31권4호
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• pp.29-36
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• 2018

본 논문은 모바일 게임과 게임하기의 변화를 통합적으로 살피기 위해 모바일 게임의 시공간적 특성을 미하일 바흐친(Mikhail Bakhtin)의 크로노토프(chronotope) 개념을 통해 고찰하는 것을 목적으로 한다. 소설에서 재현되는 시간과 공간 사이의 내적 연관을 지칭하는 개념인 크로노토프를 바탕으로 모바일 게임 플랫폼에서의 시공간 경험과 모바일 게임 텍스트의 재구성 간의 내적 연관을 살펴보았다. 모바일 게임은 플레이어라는 존재 기반의 혼종적 플랫폼을 통해 게임하기의 행위를 일상의 시공간과 중첩시키면서 플레이어의 의지를 바탕으로 지금-여기의 세계를 구축한다. 플레이어를 플랫폼으로 하는 모바일 게임의 크로노토프는 가상세계에 접속하는 것이 아닌, 지금-여기라는 현재의 공간에서 생성되는 것이다. 본고에서는 이와 같은 모바일 게임의 크로노토프 재현 양상을 역할수행 게임과 위치기반 게임을 중심으로 살펴보았다. 모바일 역할수행 게임에서는 자동 전투 시스템을 중심으로 플레이어가 느슨한 거리감을 유지면서 서사적이고 관계적인 경험이 약화된 탈역사적 크로노토프가 나타난다. 위치기반 게임에서는 가상세계와 실제세계의 중첩을 통해 유희적 의미를 발생시키는 플레이어가 주도하는 생성의 크로노토프가 나타난다.

• Psychiatry investigation
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• 제15권11호
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• pp.1019-1029
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• 2018

Objective We investigated how mental health awareness among North Korean refugees transformed depending on temporal-spatial context changes. Methods In 2013, we conducted interviews with 10 refugees (eight women) who had been in South Korea for over a year and performed a qualitative analysis of the change in mental health awareness in the differences between living in North Korea, escape (a related period of forced sojourn in a third country), and settlement in South Korea. Results We classified 39 concepts into five main categories. The first two categories (while living in North Korea) were "a mindset for the system, but not for individual mental health" and "being confined in a social environment that was indifferent to mental health." A third category appeared during escape: "focusing on survival amid continuity of intense suffering." The final two categories appeared when settling in South Korea: "recognition of mental health amid cultural shock" and "introspection and sorting oneself out." Conclusion This qualitative study enabled a better multi-dimensional understanding of the social and cultural aspects involved in improving mental health awareness among North Korean refugees in South Korea. It is desirable to integrate mental health as a part of daily life and to expand training for North Korean settlers.

• 한국식생활문화학회지
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• 제37권3호
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• pp.179-195
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• 2022

For any research study, in order to achieve the researcher's intended purpose, the depth of research is added, and the area of the subject is expanded by clearly defining the scope and objective. The study was undertaken to analyze the bibliographic data of 254 papers in the field of foodservice and restaurant published in the Journal of the Korean Dietary Culture from 2002 to 2021. The study was divided into two periods: 2002 to 2011, and 2012 to 2021. Research topics were derived and research trends according to temporal changes were confirmed through analysis of keyword networks by period. In addition, analyzing the keyword network of simultaneous appearance of "foodservice" and "restaurant", the research topics were compared and analyzed in relation to which keywords were expanded by period. Our analysis revealed that the research topics were mostly studied for satisfaction and nutrition. Additionally, they were classified into procurement, Korean food before employee menu, marketing, restaurant industry, and quality. In the period from 2002 to 2011, it was confirmed that studies encompassed a wide range of research topics, focusing on foodservice and restaurant; in the second period from 2012 to 2021, the research topics were more classified and subdivided.

• 공업화학
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• 제33권1호
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• pp.17-27
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• 2022

형광 이미징은 시간 분해능과 공간 해상도가 높기 때문에 기초연구에서 세포나 소동물 이미징에 널리 활용된다. 기존의 형광 이미징은 가시광선 영역의 광원을 활용하기 때문에 조직 내 광투과도가 낮고, 광원에 의한 광독성이 생길 수 있으며, 자가형광에 의한 간섭으로 검출 민감도가 떨어지는 한계가 있다. 이러한 점을 개선하기 위해 에너지가 낮은 장파장의 광원을 활용하고자 하며, 700~900 nm 영역을 활용하는 근적외선-I 형광 이미징이 개발되었고, 이미징 성능을 대폭 향상시키기 위해서 1000~1700 nm 영역의 장파장을 이용하는 근적외선-II 이미징이 연구자들의 관심을 받고 있다. 근적외선-II 영역은 광산란이 최소화되어 생체조직 내 투과도를 약 10 mm까지 향상시킬 수 있고, 생체조직의 자가형광도 최소화되어 고민감도와 고해상도의 형광 이미징이 가능하다. 본 총설에서는 다양한 근적외선-II 형광 이미징 탐침 중에서 광안정성이 뛰어나고 발광 파장 조절이 용이한 무기 나노입자 기반 탐침에 대해 살펴보았고, 그 중에서 단층 탄소 나노튜브와 양자점 및 란탄족 나노입자에 대해 중점적으로 기술하였다.

• 정보화정책
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• 제29권4호
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• pp.67-90
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• 2022

코로나-19 팬데믹 정점에서 치러진 2022년 3월 대통령선거는 확진자와 격리자가 투표권을 제대로 보장하지 못해 보통선거의 원칙이 훼손되었다는 비판을 크게 받게 되었다. 따라서 이들의 투표권을 보장하기 위해서는 현행 종이투표 투표소 투표의 시공간적 제한을 근본적으로 뛰어넘을 수 있는 전자투표에 대한 고민이 필요하다. 문제는 보통선거권 확대로 평등·직접·비밀선거의 원칙과 충돌하거나 침해할 소지가 높아지는 점을 어떻게 해결해 나가느냐는 것이다. 이에 대한 시사점을 얻기 위해 2005년 전자투표를 도입한 이래 11번의 전국 선거를 별 탈 없이 진행하고 있는 에스토니아의 사례를 살펴보았다. 에스토니아는 선거의 원칙에 대한 정치적·헌법적 합의와 함께 전자투표 운영에 대한 사회-기술적 시스템 전반에 걸친 제도화 및 일상화를 통해 시스템, 정부, 사회에 대한 신뢰를 성공적으로 구축해왔다. 이에 우리도 기술적 발전과 수준에서 전자투표의 가능성만을 따져보는 것이 아니라 규범적인 관점에서 선거의 원칙 간의 갈등을 조정해 사회적 합의를 이끌어내는 신뢰 구축을 위한 논의가 선행되어야 할 것이다.

• 대한중풍순환신경학회지
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• 제14권1호
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• pp.1-7
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• 2013

The following study reviewed the walking patterns of stroke patients with hemiplegia, which is called hemiplegic gait of stroke patients. Focusing is given to the changes in the distance and temporal factors of walking, which is called spatiotemporal characteristics, throughout the walking cycle. First, we introduced the definitions of essential terms related to gait and its measure. Second, we reviewed the spatiotemporal characteristics of hemiplegic gait. A main issue was that hemiplegic gait showed significant deviations from normal healthy gait. Although hemiplegia is primarily associated with unilateral motor disorder, changes in almost all spatiotemporal parameters used to assess walking were evident on both the involved and uninvolved sides of the body. Last, we reviewed the changes of spatiotemporal parameters of hemiplegic gait according to the prognosis or status of stroke patients, which may help to give a specific intervention for rehabilitation of stroke.

• 대한원격탐사학회지
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• 제40권1호
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• pp.9-18
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• 2024

Small streams, despite their rich ecosystems, face challenges in vegetation assessment due to the limitations of traditional, time-consuming methods. This study presents a groundbreaking approach, combining unmanned aerial vehicles(UAVs), convolutional neural networks(CNNs), and the vegetation differential vegetation index (VDVI), to revolutionize both assessment and management of stream vegetation. Focusing on Idong Stream in South Korea (2.7 km long, 2.34 km² basin area)with eight diverse revetment methods, we leveraged high-resolution RGB images captured by UAVs across five dates (July-December). These images trained a ResNeXt101 CNN model, achieving an impressive 89% accuracy in classifying vegetation cover(soil,water, and vegetation). This enabled detailed spatial and temporal analysis of vegetation distribution. Further, VDVI calculations on classified vegetation areas allowed assessment of vegetation vitality. Our key findings showcase the power of this approach:(a) TheCNN model generated highly accurate cover maps, facilitating precise monitoring of vegetation changes overtime and space. (b) August displayed the highest average VDVI(0.24), indicating peak vegetation growth crucial for stabilizing streambanks and resisting flow. (c) Different revetment methods impacted vegetation vitality. Fieldstone sections exhibited initial high vitality followed by decline due to leaf browning. Block-type sections and the control group showed a gradual decline after peak growth. Interestingly, the "H environment block" exhibited minimal change, suggesting potential benefits for specific ecological functions.(d) Despite initial differences, all sections converged in vegetation distribution trends after 15 years due to the influence of surrounding vegetation. This study demonstrates the immense potential of UAV-based remote sensing and CNNs for revolutionizing small-stream vegetation assessment and management. By providing high-resolution, temporally detailed data, this approach offers distinct advantages over traditional methods, ultimately benefiting both the environment and surrounding communities through informed decision-making for improved stream health and ecological conservation.

• 대한원격탐사학회지
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• 제40권1호
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• pp.57-69
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• 2024

Crop classification plays a vitalrole in monitoring agricultural landscapes and enhancing food production. In this study, we explore the effectiveness of Long Short-Term Memory (LSTM) models for crop classification, focusing on distinguishing between apple and rice crops. The aim wasto overcome the challenges associatedwith finding phenology-based classification thresholds by utilizing LSTM to capture the entire Normalized Difference Vegetation Index (NDVI)trend. Our methodology involvestraining the LSTM model using a reference site and applying it to three separate three test sites. Firstly, we generated 25 NDVI imagesfrom the Sentinel-2A data. Aftersegmenting study areas, we calculated the mean NDVI values for each segment. For the reference area, employed a training approach utilizing the NDVI trend line. This trend line served as the basis for training our crop classification model. Following the training phase, we applied the trained model to three separate test sites. The results demonstrated a high overall accuracy of 0.92 and a kappa coefficient of 0.85 for the reference site. The overall accuracies for the test sites were also favorable, ranging from 0.88 to 0.92, indicating successful classification outcomes. We also found that certain phenological metrics can be less effective in crop classification therefore limitations of relying solely on phenological map thresholds and emphasizes the challenges in detecting phenology in real-time, particularly in the early stages of crops. Our study demonstrates the potential of LSTM models in crop classification tasks, showcasing their ability to capture temporal dependencies and analyze timeseriesremote sensing data.While limitations exist in capturing specific phenological events, the integration of alternative approaches holds promise for enhancing classification accuracy. By leveraging advanced techniques and considering the specific challenges of agricultural landscapes, we can continue to refine crop classification models and support agricultural management practices.

• Journal of Astronomy and Space Sciences
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• 제40권3호
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• pp.101-111
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• 2023

We conducted a statistical study of polar mesospheric summer echoes (PMSEs) in relation to magnetic local time (MLT), considering the geomagnetic conditions using the K-index (or K). Additionally, we performed a case study to examine the velocity profile, specifically for high velocities (≥ ~100 m/s) varying with high temporal resolution at high K-index values. This study utilized the PMSE data obtained from the mesosphere-stratosphere-troposphere radar located in Esrange, Sweden (63.7°N, 21°E). The change in K-index in terms of MLT was high (K ≥ 4) from 23 to 04 MLT, estimated for the time PMSE was present. During the near-midnight period (0-4 MLT), both PMSE occurrence and signal-to-noise ratio (SNR) displayed an asymmetric structure with upper curves for K ≥ 3 and lower curves for K < 3. Furthermore, the occurrence of high velocities peaked at 3-4 MLT for K ≥ 3. From case studies focusing on the 0-3 MLT period, we observed persistent eastward-biased high velocities (≥ 200 m/s) prevailing for ~18 min. These high velocities were accompanied with the systematic motion of profiles at 85-88 km, including large shear formation. Importantly, the rapid variations observed in velocity could not be attributed to neutral wind effects. The present findings suggest a strong substorm influence on PMSE, especially in the midnight and early dawn sectors. The large zonal drift observed in PMSE were potentially energized by local electromagnetic fields or the global convection field induced by the electron precipitation during substorms.

• 한국재난정보학회 논문집
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• 제20권2호
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• pp.257-269
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• 2024

Purpose: The purpose of this study is to explain the pivotal role of the travel forecasting process in urban transportation planning. This study emphasizes the use of travel forecasting models to anticipate future traffic. Method: This study examines the methodology used in urban travel demand modeling within transportation planning, specifically focusing on the Urban Transportation Modeling System (UTMS). UTMS is designed to predict various aspects of urban transportation, including quantities, temporal patterns, origin-destination pairs, modal preferences, and optimal routes in metropolitan areas. By analyzing UTMS and its operational framework, this research aims to enhance an understanding of contemporary urban travel demand modeling practices and their implications for transportation planning and urban mobility management. Result: The result of this study provides a nuanced understanding of travel dynamics, emphasizing the influence of variables such as average income, household size, and vehicle ownership on travel patterns. Furthermore, the attraction model highlights specific areas of significance, elucidating the role of retail locations, non-retail areas, and other locales in shaping the observed dynamics of transportation. Conclusion: The study methodically addressed urban travel dynamics in a four-ward area, employing a comprehensive modeling approach involving trip generation, attraction, distribution, modal split, and assignment. The findings, such as the prevalence of motorbikes as the primary mode of transportation and the impact of adjusted traffic patterns on reduced travel times, offer valuable insights for urban planners and policymakers in optimizing transportation networks. These insights can inform strategic decisions to enhance efficiency and sustainability in urban mobility planning.