• 한국멀티미디어학회논문지
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• 제25권2호
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• pp.287-296
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• 2022

Today, air pollution is becoming a severe issue worldwide and various policies are being implemented to solve environmental pollution. In major cities, public bicycles are installed and operated to reduce pollution and solve transportation problems, and operational information is collected in real time. However, research using public bicycle operation information data has not been processed. This study uses the daily weather data of Korea Meteorological Agency and real-time air pollution data of Korea Environment Corporation to predict the amount of daily rental bicycles. Cross- validation, principal component analysis and multiple regression analysis were used to determine the independent variables of the predictive model. Then, the study selected the elements that satisfy the significance level, constructed a model, predicted the amount of daily rental bicycles, and measured the accuracy.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.11-17
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• 2022

Design-bid-build (DBB) is the most common project delivery method among highway projects. State Highway Agencies (SHAs) usually apply a low-bid approach to select contractors for their DBB projects. In this approach, the Federal Highway Agency suggests SHAs heighten contractors' competition to lower bid prices. However, these attempts may become ineffective due to collusive bidding arrangements among certain contractors. One common strategy is the rotation of winning bidders of a group of contractors who bid on many of the same projects. These arrangements may also be specific to a particular region or vary in time. Despite the practices' adverse effects on bidding outcomes, an effective model to detect red-flag bidding patterns is lacking. This study fills the gap by proposing a novel framework that utilizes pattern mining techniques and statistical tests for unusual pattern detection. A case study with historical data from an SHA is conducted to illustrate the proposed framework.

• Bulletin of the Korean Chemical Society
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• 제24권7호
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• pp.931-936
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• 2003

By the use of multi-loop thermodynamic boxes developed here by us, we show that models of enzyme catalysis (e.g., split-site model) developed in an attempt to emphasize the importance of the reactant-state destabilization and, thus, demonstrate misleading nature of the fundamentalist position which defines Pauling's transition-state stabilization as the entire and sole source of enzyme catalytic power, should be reduced to the fundamentalist formulation which completely neglects dynamical aspects of mechanism between the reactant and the transition states and dwells only on events restricted to the reactant and transition states alone, because the splitsite (and other canonical) formulations as well as fundamentalist formulations are based, in common, on equilibrium assumptions stipulated by the thermodynamic box logics. We propose to define the equilibrium assumptions as the requisite and sufficient conditions for the fundamentalist position to enjoy its primacy as central dogma, but not as sufficient conditions for its validity, because it is subjected to contradictions presented by existing data.

• 한국측량학회지
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• 제30권6_2호
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• pp.607-613
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• 2012

Ionospheric anomaly is one of the major error sources which deteriorate the GNSS performance. In the equatorial region, effects of the ionospheric plasma bubbles are of great interest because they are pretty common phenomena, especially in the period of the high solar activity. In order to evaluate the GNSS performance under circumstance of the bubbles, an ionospheric scintillation monitor has been developed and installed in Bangkok, Thailand. Furthermore, a model simulating the ionospheric delay and scintillation due to the bubbles has been developed. Based on these developments, the effects of the simulated plasma bubbles are analyzed and their agreement with the real observation is demonstrated. An availability degradation of the GPS ground based augmentation system (GBAS) caused by the bubbles is exampled in details. Finally, an integrated GPS/INS approach based on the Doppler frequency is proposed to remedy the deterioration.

• International Journal of Advanced Culture Technology
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• 제12권2호
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• pp.345-352
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• 2024

We are designed to solve cyber motion sickness, an important task that must be addressed for the growth of the virtual reality content industry. Not only the industry but also academia are paying a lot of attention. However, despite long interest and research on the phenomenon of cyber motion sickness, a solution has not been drawn. This is deeply related to the lack of tools that can effectively measure cyber motion sickness. Therefore, in this paper, prior studies on cyber motion sickness were analyzed to develop a tool that can effectively measure cyber motion sickness when users experience immersive virtual reality. The measurement method of cyber motion sickness used in previous studies, each characteristic and limitation, and common factors related to cyber motion sickness were analyzed. Each of the related factors was derived as sub-factors. Based on the analyzed contents, an effective cyber motion sickness measurement evaluation tool model in immersive virtual reality was presented. It is expected that the evaluation tool model can be used for the study of cyber motion sickness.

• 한국통신학회논문지
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• 제41권12호
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• pp.1876-1883
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• 2016

본 논문에서는 고속의 공용데이터링크(common data link, CDL)를 위한 새로운 채널 모델을 제안한다. 송신기의 고도가 수km ~ 수십km이고 통달거리가 수백km인 경우 지구 곡률에 의해 송신신호가 수신기의 앞 쪽에서 지면에 반사되어 들어오는 Two-ray 채널이 발생할 가능성이 크다. 송수신기의 빔포밍(beamforming) 각도와 안테나 방사 패턴(radiation pattern)에 따라 반사 경로로 들어오는 신호의 최대 지연 시간(maximum delay)과 전력 지연 프로파일(power delay profile)을 추정하여 Two-ray 채널을 모델링한다. 제안하는 채널 모델에서는 통달거리가 길기 때문에 전력 지연 프로파일이 최대 지연 시간보다 신호 대 잡음비(signal to noise ratio, SNR)에 대한 비트 오류율(bit error rate, BER)에 더 큰 영향을 미친다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2006년도 춘계학술발표회 논문집(I)
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• pp.446-449
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• 2006

Several experimental investigations have been carried out to study the behavior of reinforced concrete columns with short lap splices. However, very few analytical models have been developed for the analysis of such columns subjected to earthquakes. As nonlinear analysis procedures become more common in practice (such as those outlined in the Guidelines for Seismic Rehabilitation of Buildings published by the Federal Emergency Management Agency in the United States), the need for an accurate and reliable representation of the nonlinear response of strength degrading systems becomes more important. In this study, an analytical model for estimating the complete response of reinforced concrete columns with short lap splices is presented. The model is based on local bond stress-slip relationships and is validated against independent experimental data from cyclic loading tests on reinforced concrete columns with typical construction details of the 1960s. In this paper a simple equation for calculating the bar stress at splice failure is presented. Use of the proposed equation resulted in excellent agreement between the measured and calculated strength at splice failure.

• East Asian Economic Review
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• 제18권1호
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• pp.83-107
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• 2014

This paper studies the effects of economic development and cultural proximity as common determinants of trade in cultural goods in a dynamic preference selection model. For the empirical analysis, this paper utilizes the gravity framework with importer fixed effects and Poisson pseudo-maximum likelihood estimators. This paper applies the model to Korean export of broadcasting contents to Asian countries. The relative economic development of the export country and the market size of the import country are important determinants of cultural trade, the results of which are generally consistent with traditional goods trade. However, the distance variable does not show much significance, reflecting the unique characteristics of trade in cultural goods.

• 한국시뮬레이션학회논문지
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• 제22권4호
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• pp.1-9
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• 2013

국방과학연구소는 해군 전투실험을 위한 시뮬레이션 통합개발환경(QUEST)을 개발하였으며 본 논문은 QUEST의 수중교전 시뮬레이션을 응용을 위한 해군무기체계 모델 라이브러리 개발에 대하여 기술한다. 모델은 기본적으로 함정 및 무장체계 간의 수중교전 효과도 및 전술 개발 목적으로 개발되었다. 수중교전 임무공간과 기존 운용모델 기능 분석을 통하여 표준 모델구조를 정립하고 구성 컴포넌트를 개발하였다. 각각의 컴포넌트는 무기체계 구성부의 기능을 잘 정의한 표준화된 체계, 부체계, 알고리듬 모델이며 모델간 표준 인터페이스를 정의하였다. 모델 라이브러리를 이용하여 사용자는 최소한의 도메인지식으로 기존 모델을 재사용하고 새로운 모델을 효율적으로 조립가능하며 사용자간에 모델을 공유하고 협업할 수 있다.

• International Journal of Advanced Culture Technology
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• 제9권2호
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• pp.86-90
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• 2021

Sentiment refers to a person's thoughts, opinions, and feelings toward an object. Sentiment analysis is a process of collecting opinions on a specific target and classifying them according to their emotions, and applies to opinion mining that analyzes product reviews and reviews on the web. Companies and users can grasp the opinions of public opinion and come up with a way to do so. Recently, natural language processing models using the Transformer structure have appeared, and Google's BERT is a representative example. Afterwards, various models came out by remodeling the BERT. Among them, the Facebook AI team unveiled the XLM-R (XLM-RoBERTa), an upgraded XLM model. XLM-R solved the data limitation and the curse of multilinguality by training XLM with 2TB or more refined CC (CommonCrawl), not Wikipedia data. This model showed that the multilingual model has similar performance to the single language model when it is trained by adjusting the size of the model and the data required for training. Therefore, in this paper, we study the improvement of Korean sentiment analysis performed using a pre-trained XLM-R model that solved curse of multilinguality and improved performance.