• 한국환경과학회지
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• 제2권1호
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• pp.21-28
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• 1993

A total of 94 taxa were identified from the Southern Ocean, 140-148 。E and 40-53。S, as an early austral summer phytoplankton. They were 53 diatoms, 37 dinoflagellates, 2 silicoflagellates, 1 prymnesiophyte, and 1 coccolithophorid. Integrated cell numbers of nanoplankton dominated microphytoplankton from 8 stations, especially from Subantarctic zone, but integrated biomass was lower than microphytoplankton. Integrated cell numbers of diatoms dominated dinoflagellates, coccolithophorids, and pnrnnesiophyte, but integrated biomass of microphytoplankton were dependent to the biomass of dinoflagellates except north of the Subtropical convergence zone and south of the Antractic convergence sone. Phytoplankton community changed across the fronts and 3 different communities were observed. Fronts seem to influence on the phytoplankton community from the west Pacific Sector of the Southern Ocean.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.11-19
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• 2021

This study aims to analyze the causality relationship between sectoral stock markets (agricultural, financial, industrial, and mining sectors) and economic growth in the short and long term as well as to analyze whether it has similar types or not. The data used is quarterly time-series data (first quarter 2009 to fourth 2019). To determine the causality relationship, this study conducts a variable and multivariate causality test. The results of the varying granger causality test show that there is only a one-way relationship, where the economic growth of the agriculture sector affects its shares. A one-way relationship also occurs in stocks of the industrial sector, which has an influence on economic growth. The multivariate causality test shows that the economic growth of the agricultural sector has a two-way causality relationship, and it also exists between the industrial sector and the financial sector stock markets. The two-way causality relationship between the stock market and sectoral economic growth is a convergence towards long-term equilibrium. The findings of this study suggest that the government through the Financial Services Authority and the Indonesia Stock Exchange have to maintain stability in the stock market as a supporter of the national economy.

• 한국정보통신학회논문지
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• 제23권4호
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• pp.423-430
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• 2019

자동차산업과 ICT 기술의 융합 분야는 크게 상용서비스 분야와 Cooperative-ITS (C-ITS) 서비스 분야로 나뉠 수 있다. C-ITS 서비스 분야는 더 안전한 운송, 더 친환경적이고 효율적인 교통, 및 더 예측가능하고 생산적인 이동성을 제공하는 것을 목표로 하는 분야로서 V2X 통신기술이 사용되고 있다. 최근 이슈가 되고 있는 자율주행자동차와 커넥티드 카의 융합을 위해서는 높은 데이터 전송율과 낮은 전송 지연, 그리고, 낮은 전송 오류율을 요구한다. 이를 위하여 최근의 WAVE와 C-V2X (LTE-V2X, 5G-V2X) 성능 비교에 관심이 증폭되고 있으며, 통신 기술별 응용서비스들이 연구되고 있다. 본 논문에서 하이브리드 V2X 통신시스템의 응용서비스 성능평가 방법에 대해 설계하였고, 패킷에러율(PER) 성능의 감소는 차량속도가 아닌 통신 거리의 증가에 의해 발생하는 것으로 보이는 결과 등을 확인하였다.

• 사물인터넷융복합논문지
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• 제8권1호
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• pp.65-72
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• 2022

사물인터넷(IoT)은 데이터의 융합과 공유 기능을 제공하며, 다양한 첨단 기술이 함께 융복합되어 새로운 서비스를 창출하는 데 있어서 가장 근간이 되는 핵심 기술 분야이다. 하지만, 사물인터넷에 대한 분류 체계가 제각각이며 국내 공공분야를 대상으로 한정 지었을 경우 실제로 어느 정도의 점유율로 어떤 기기 등이 설치되어 운영되고 있는지에 대한 현황을 제대로 파악하기가 어려울 정도로 체계화된 자료나 연구 결과를 발견하기가 매우 어렵다. 따라서 본 연구에서는 사물인터넷 기기에 대한 분류 체계를 매출액과 출하량 및 성장률에 근거하여 현실에 맞게 관련성을 분석한 후 이를 토대로 국내 공공기관을 대상으로 실제 IoT 기기의 점유율 등을 상세 분석하였다. 도출된 분석 결과는 앞으로 IoT 기기에 대한 악성코드 공격 대응, 침해사고 분석 및 보안 취약성 강화 등 정보보호 기술 고도화를 위한 연구 분석용 IoT 기기를 선정하는 과정에서 효율적으로 활용 될 수 있을 것으로 기대된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.742-756
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• 2022

A flood of information has occurred with the rise of the internet and digital devices in the fourth industrial revolution era. Every millisecond, massive amounts of structured and unstructured data are generated; smartphones, wearable devices, sensors, and self-driving cars are just a few examples of devices that currently generate massive amounts of data in our daily. Machine learning has been considered an approach to support and recognize patterns in data in many areas to provide a convenient way to other sectors, including the healthcare sector, government sector, banks, military sector, and more. However, the conventional machine learning model requires the data owner to upload their information to train the model in one central location to perform the model training. This classical model has caused data owners to worry about the risks of transferring private information because traditional machine learning is required to push their data to the cloud to process the model training. Furthermore, the training of machine learning and deep learning models requires massive computing resources. Thus, many researchers have jumped to a new model known as "Federated Learning". Federated learning is emerging to train Artificial Intelligence models over distributed clients, and it provides secure privacy information to the data owner. Hence, this paper implements Federated Averaging with a Deep Neural Network to classify the handwriting image and protect the sensitive data. Moreover, we compare the centralized machine learning model with federated averaging. The result shows the centralized machine learning model outperforms federated learning in terms of accuracy, but this classical model produces another risk, like privacy concern, due to the data being stored in the data center. The MNIST dataset was used in this experiment.

• 한국기후변화학회지
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• 제6권4호
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• pp.291-302
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• 2015

Vulnerability due to climate change depends on the concentration of carbon dioxide emissions over several upcoming decades. The objective of this study is to estimate the concentration of greenhouse gases and air pollutants in 2100, while also accounting for expected socio-economic changes in Korea. First, we intend to prepare scenarios for possible socioeconomic changes in Korea: business as usual (BAU), high growth and low growth. Secondly, we aim to predict services demands in residential?commercial sector, transportation sector, industrial sector for each scenarios. Finally, the emissions of LLGHG and SLCP will be estimated on the basis of the predicted service demands. The study results project that in Korea, LLGHG emissions will be approximately $660Mt\;CO_2\;eq$. and SLCP emissions will be approximately 3.81 Mt, -including black carbon (BC) by 2100. The transportation and industrial sectors are the major source for LLGHG emissions, and the residential and commercial sector serve as the SLCP source. Later, additional studies on the cost and benefit of mitigation should be carried out by comparing the reduced use of materials that cause climate change as a result of reduction policies and the socioeconomic cost.

• 기술혁신학회지
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• 제19권3호
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• pp.572-603
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• 2016

본 연구는 일반적인 현상으로서의 표준정책을 과학기술 연구를 수행하는 과학자들의 입장에서 이해하고, 과학자들의 인식 및 행태 속에 투영 된 표준정책을 질적으로 탐구한다. (1) 융합 R&D 부문에서 표준정책의 방향성과 (2) 그러한 표준화 방향성을 위해 정부의 역할과 융합 R&D 연구자들의 역할을 탐색하였다. 15명의 융합 R&D 과학자들과의 인터뷰 분석 결과, 융합 R&D에서의 표준화는 분명 일반 R&D에서의 그것과는 차이가 있었고, 융합 R&D현장에서의 표준화 고민이 복합적이고 다양하다는 점을 엿볼 수 있었다. 융합 R&D와 표준의 관계에서 융합기술결과에 대한 낮은 예측가능성으로 인해, 기술의 경쟁력 및 객관성을 확보하기 위하여 R&D를 일정기간 수행한 다음, 기술의 표준화 업무가 진행되는 것이 일반적인 융합 R&D와 표준의 관계로 해석해 볼 수 있었다. 우리나라의 국가표준정책이 취해야 할 정책 방향성은 "민간(시장) 주도의 표준 리드"로 압축된다. 정부는 공공부문에 대한 것은 정부 주도의 표준화를 진행하고 민간 부문에 대한 것은 최대한 민간 자율에 맡겨 자연스럽게 글로벌 표준을 선도하도록 환경을 조성해 주는 것이 필요하다. 이렇듯, 국가표준정책에서 정부의 역할은 "조력자"의 역할로 요약된다.

• Asian Journal of Innovation and Policy
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• 제2권1호
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• pp.37-62
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• 2013

Many scholars have persevered in understanding the convergence process by developing a measurement that reflects the characteristics of the convergence phenomenon as a process. Recently a series of studies suggested a framework in terms of diversity and coherence. However, an index for coherence is required to reflect the vital features of the conceptual definition, and thus a new index for coherence is proposed in this paper. Technology Convergence Index combines diversity and coherence and indicates the degree of the convergence in information computer technology (ICT), biotechnology (BT) and nanotechnology (NT) sectors. The index can not only be used to track each technology field that consists of a major technology sector, but also to compare other leading countries. Based on a comparison study between the United States and South Korea, the degrees of technology convergence of Korea in ICT, BT, and NT sectors have ameliorated.

• Applied Science and Convergence Technology
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• 제27권5호
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• pp.86-89
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• 2018

Observations of neutrino oscillations are very strong evidence for the existence of neutrino masses and mixing. From recent experimental results on neutrino oscillation, we find that neutrino mixing angles are quite consistent with the so-called tri-bi-maximal mixing pattern, but the deviation from observational results is non-negligible. However, the tri-bi-maximal mixing pattern is still useful as a leading order approximation and provides a good guideline to search for the flavor symmetry in the neutrino sector. We introduce the $S_4$ permutation symmetry as a flavor symmetry to the standard model of particle physics with additional particle contents of heavy right-handed neutrinos and scalar fields. Finally, we obtain the tri-bi-maximal mixing pattern as a mixing matrix in the lepton sector within the suggested model. To derive the required unitary mixing matrix for the neutrino sector, the double seesaw mechanism is utilized.

• 산업융합연구
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• 제2권1호
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• pp.187-216
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• 2004

After Asian financial crisis hit the Korea, Korean government and Korean firms need to restructure their system. Specially financial sector has to renew its system. One way renew its system was adjust company's labor system. The forms of labor adjustment are external numerical flexibility, externalization, internal numerical flexibility, functional flexibility and wage flexibility. These five forms based on two big categories which are wage flexibility and employment flexibility. This study only focus on th effect of employment flexibility in financial sector in Korea. Employment flexibilities can be practice as employment adjustment. Also we concentrate on separation and re-accessors to other financial institute after the separation. The result shows that Korean financial sector are in the range of 10.78% and the job destruction rates are about 11.26%. During the period from year 1998 to year 2002, the numbers of accession has down about 30%. The logit statistical analysis for separation shows that demographical variables and the reasons of separation affected separation and reemployment.