• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.861-866
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• 2022

Seoul introduced the shared bicycle system, "Seoul Public Bike" in 2015 to help reduce traffic volume and air pollution. Hence, to solve various problems according to the supply and demand of the shared bicycle system, "Seoul Public Bike," several studies are being conducted. Most of the research is a strategic "Bicycle Rearrangement" in regard to the imbalance between supply and demand. Moreover, most of these studies predict demand by grouping features such as weather or season. In previous studies, demand was predicted by time-series-analysis. However, recently, studies that predict demand using deep learning or machine learning are emerging. In this paper, we can show that demand prediction can be made a little better by discovering new features or ordering the importance of various features based on well-known feature-patterns. In this study, by ordering the selection of new features or the importance of the features, a better coefficient of determination can be obtained even if the well-known deep learning or machine learning or time-series-analysis is exploited as it is. Therefore, we could be a better one for demand prediction.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.517-517
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• 2023

현재 우리나라에서는 4대강 및 주요 호소 29지점을 대상으로 조류경보제가 시행되고 있으며 조류 경보 단계는 실시간 모니터링지점에서 측정되는 유해 조류의 셀농도를 기반으로 발령 단계가 결정된다. 상수원 구간은 관심, 경계, 조류 대발생, 해제 또는 미발생 총 4구간으로 구성되며, 친수 활동 구간의 경우 조류 대발생을 제외한 3구간으로 구성된다. 현재 시행되는 조류 경보제의 목적은 유해 조류 발생 시 사후 대응 방안 마련에 보다 초점이 맞춰져 있으며 특히, 모니터링 주기 확대 여부, 오염원 관리 방안 마련, 조류 제거 여부 등의 의사 결정 수단으로 사용되고 있다. 하지만 조류 경보 단계에 대한 사전 예측이 가능한 경우 유해 조류의 성장을 억제할 수 있으며 이를 통해 안전하고 깨끗한 수자원을 확보할 수 있다. 본 연구에서는 조류 경보 단계의 사전적 예측을 위해 국가 실시간 측정망에서 제공하는 전국 보 모니터링 종합 정보 자료, 기상측정망 자료, 실시간 보 현황 자료를 활용하여 예측 모델을 구축하였다. 또한, 단계 예측의 정확도를 개선하기 위해 변수 선택 기법을 활용하여 조류 경보 단계에 영향을 미치는 환경변수를 선정하였으며 자료의 불균형으로 인해 모델 학습 과정에서 발생하는 예측 오류를 최소화하기 위해 다양한 샘플링 기법을 적용하여 모델의 성능을 평가하였다. 변수 선택 및 샘플링 기법을 고려하지 않은 원자료를 사용하여 예측 모델을 구축한 결과 관심 단계(Level-1) 및 경보 단계(Level-2)에 대해 각각 50%, 62.5%의 예측 정확도를 보인 반면 비선형 변수 선택 기법 및 Synthetic Minority Over-sampling Technique-Edited Nearrest Neighbor(SMOTE-ENN) 샘플링 기법을 적용하여 구축한 모델에서는 Level-1은 85.7%, Level-2는 75.0%의 예측 정확도를 보였다.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.126-131
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• 2022

Obesity is known as a metabolic disease caused by abnormal differentiation of fat tissue due to an imbalance between energy intake and consumption.. The purpose of this study was to confirm the changes in the genes associated with pancreatic lipase activity and pre-adipocyte cell differentiation by treatment of red onion extract treatment. The effect of red onion extract treatment on pre-adipocyte differentiation was evaluated using 3T3-L1 adipocytes, and the activity of related genes was confirmed through Real-Time PCR. As a result of the experiment, the red onion extract inhibit pancreatic lipidase activity by concentration dependent manner. In addition, it was found to inhibit adipocyte differentiation and inhibit the activity of genes(C/EBP-α, C/EBP-β, PPAR-γ) associated with adipocyte differentiation. Through the results of this experiment, it is suggested that the red onion extract can be developed as a high potential material with anti-obesity efficacy by suppressing adipocytic differentiation by controlling genes related to adipocyte differentiation.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.359-359
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• 2021

기후변화로 인한 강수량의 지역별, 계절별 불균형은 홍수로 인한 하천 범람피해뿐만 아니라 하천의 건천화로 인한 수생태, 수질, 경관 저해 등의 피해를 야기하고 있다. 이와 같은 기후변화로 인한 수자원의 영향을 평가하기 위해 기상 현상을 재현하고 예측하기 위한 기후모형과 이와 연계하여 지표의 수문 순환과 에너지 순환과정을 모의할 수 있는 지표수문모형의 필요성이 대두되고 있다. 그러나, 하천유출에 대한 모니터링시스템 체계를 구축하기 위해 지표수문모형을 사용하여 하천의 장기유출을 모의하는 시도는 국내에서는 아직 일반화되지 않고 있다. 따라서, 본 연구에서는 횡방향 유출흐름 모의가 가능하도록 개선된 격자형 지표수문모형인 Common Land Model(CoLM)의 우리나라 하천유역에 대한 장기하천유출 모의 적용성을 확인하고자 한다. 이를 위하여 4대강(한강, 낙동강, 금강, 섬진강)의 자연유역을 대상으로 주요 댐 상류유역에 대하여 CoLM이 필요로 하는 지표경계조건자료와 기상입력자료를 구축하고 모형의 주요 매개변수에 대한 검보정을 수행하여 각 지점별 최적의 장기하천유출 모의결과를 도출하고자 한다. CoLM의 지표경계조건자료 구축을 위해서는 고해상도의 인공위성자료 및 지점측정자료를 수집하고, 기상입력자료 구축을 위해서는 기상청에서 제공하는 기상자료를 수집하여, 모형의 계산시간 및 지역예보모델에 많이 사용되고 있는 공간해상도를 고려한 모형의 입력자료는 30km 계산 격자망 자료로 구축될 예정이다. CoLM의 모의성능 평가 및 결과분석을 위해 총 30년(1990-2019) 기간에 대한 모의결과 중, 초기 10년은 초기조건 수립을 위한 안정화 기간으로 제외하고, 다음 10년(2000~2009)은 보정기간으로 설정하고 마지막 10년(2010~2019)은 검정기간으로 설정하여 지표수문모형의 장기하천유출모의 적용성이 평가될 예정이다. 본 논문의 결과는 향후 우리나라 주요 유역에 대해 이상기후로 인한 하천 수자원 및 수생태의 영향을 분석하고, 하천의 건천화 대책 수립 등에 대한 기초정보를 제공할 수 있을 것이라 기대한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.375-383
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• 2006

Nationals Assembly have experiencing unbalance between capacities and demand of parking facilities because of increasing parking demand, free parking policy, long term parking and passenger car use of workers, usage of neighborhood office workers and visitors. The lack of parking facilities cause illegal parking on the street inside and outside of National Assembly which result in the disorder of parking culture. To solve these parking problems, this study suggest parking management system to enter the National Assembly for the short term and charging parking fee, operation by private company, constructing parking building by abrogation of upper limit and construction of ground park, and so on. The study, also, suggested to strengthen weekday or 10 day shift system, to increase shuttle bus and commuting bus, to activation of Han River waterside parking area, public transportation with those new parking management system. For the conclusion, the parking problems of National Assembly should be focused more on parking management than the parking facilities supply.

• Journal of Industrial Convergence
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• v.21 no.8
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• pp.51-58
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• 2023

Blockchains have recently struggled to design for the ideal distributed trust networks by solving scalability trilemma. However, local conflicts between some countries lead to imbalance on energy distribution. Besides, blockchain networks (e.g., Bitcoin) currently consume enormous energy for transaction and mining. The existing data volume based trust model evaluated an increasing blockchain size better than Lubin's trust model in scalability trilemma. In this paper, we propose a scalability based energy model to evaluate sustainability for blockchain networks, considering energy consumption for transaction, time duration, and the blockchain size of growing blockchain networks. Through the rigorous numerical analysis, we compare the proposed scalability based energy model with the existing model for the satisfaction and optimal blockchain size. Thus, the scalability based energy model will provide an assessment tool to choose the proper blockchain networks to solve scalability trilemma problem and prove sustainability.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.173-180
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• 2024

Along with its importance, the real estate market poses risks of various fraudulent activities. Recently, a surge in real estate-related scams, such as lease fraud, has caused great financial damage to many ordinary people. These problems are often caused by the complexity of real estate transactions and information imbalance. Therefore, there is an urgent need to secure reliability and improve transparency in the transaction process. In this paper, to solve this real estate fraud problem, we propose a chatbot system using digital technology and artificial intelligence, especially GPT (Generative Pre-Trained Transformer). This system serves to protect users from fraud by providing them with precautions and confirmations in the lease transaction process. In addition, GPT-based chatbots respond to questions from users in time, contributing to reducing uncertainty in the transaction process and increasing reliability.

• Journal of the Korean Geographical Society
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• v.29 no.4
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• pp.402-419
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• 1994

Telecommunication and intormation technology have been conceived as crucial as well as revolutionary elements for recent and future social and economic development, and their development have led to a spatial reorganization and locational change of economic activities. Information technology has resulted in important changes in the organization structure and location of firm. This study draws attention to the understanding of the relationship between the diffusion of information technology and changes in firm activities with the special reference to the service industry of the United States. Information technology has had a significant impact on the growth and changes of the service industry of the United States through changes in the organizational and employment structure, market structure, and locational changes. The impact of information technology on location changes of the service industry shows two opposite patterns, concentration and decentralization. Among these patterns, the location change in the service industry of the United States reveals predominantly the decentralization tendency such as suburbanization and transfer to lower ranking cities rather than concentration. In case of Korea, however, it is anticipated that the rapid development of information technology may lead to the concentration of the service industry in Seoul and Capital region.

• Management & Information Systems Review
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• v.35 no.3
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• pp.57-79
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• 2016

It is required to derive various conclusions by identifying the type of power and the relationship between SCMs and presenting practical implications. Thus, we can identify the differential effects of each type of power on SCM performance. We can contribute to develop the practical implications at more sophisticated multi-dimension by comparing results of this study with various SCM theories. Through previous studies, the source of power is largely divided into binding power and non-binding power. Binding power is classified into behavior coercion, binding reward and relationship legitimacy. Non-binding power is classified into work expertise, information superiority and value compliance. Enterprises should fully understand and recognize partners within supply chains including understanding of the source of power, imbalance and results. Thus, we look into types of power and effects on trust and commitment, and identify a causal relationship leading to collaboration and SCM performance. Specific research results are as follows. First, the binding power did not give a significant effect to the trust. However, the binding power gave a positively(+) significant effect to the commitment. Second, non-binding power showed a significant effect on both trust and commitment. As a result of analysis on total effects, it was shown that non-binding power gave indirect effects to collaboration and SCM performance. Third, it was shown that both trust and commitment significantly affected collaboration. From the perspectives of social exchange theory and trading cost theory among inter-organizational relationship theory, it may lead to SCM performance of trust, commitment and collaboration. Moreover, it was found that association of each attribute of power led to the significant result. Fourth, it was shown that trust and collaboration significantly affected SCM performance. However, commitment did not directly affect SCM performance, but it indirectly significantly affected SCM performance through collaboration. Proper use of this power can firmly build partnerships between members of the supply chain and induce the improvement on supply chain performance and satisfaction of members.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.2
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• pp.15-31
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• 2014

The purpose of this study is to assess the green environment on urban space and to suggest the sustainable green space planning. The study area is Dalseo-gu which has the biggest spatial imbalance of green space among 7 districts of Daegu. Three functions such as nature-ecological, environment-control, and usage function were established for assessing the green environment. For the assessment step of nature-ecological function, 'green connectivity' and 'animal movement' were used. Also,'thermal environment' and 'temperature decrease' were utilized in terms of environment-control function and 'green space's service supply' were utilized in terms of usage function. According to the results of integrated assessment, the green rich zone(Grade I) was 44.8% of total area in Dalseo and this zone was distributed along the southern forest of Mt. Ap and Mt. Biseul and the northern forest of Mt. Gung and Mt. Waryong. On the other hand, the green broken zone(Grade IV) was located in the residential areas of Gamsam and Jukjeon and the residential and industrial areas of Wolseong 1 and Jincheon and this zone was 5.5% of total area. The findings from this study can be used as the plan criteria for construction and distribution of green space in urban master plan.