• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2013년도 추계학술대회
• /
• pp.328-331
• /
• 2013

디지털 생태계가 기존의 데스크톱위주에서 모바일위주로 변모됨에 따라 모바일 플랫폼 상에서의 주된 사용자의 인터페이스를 담당하며 모바일 디바이스를 관장하는 다양한 운영시스템이 출현하고 있다. 본 연구에서는 1996년 최초로 출현한 모바일 운영시스템인 Palm OS을 시작으로 주요 모바일 운영 시스템의 성공과 실패에 영향을 미치는 주요 요인들이 무엇인지 제시하고자 한다. 이를 위하여 성공한 사례와 실패한 사례에 대한 분석을 실시하고, 성공과 실패에 영향을 미치는 주요 변수를 도출한 후 이를 기반으로 ID 3 알고리즘 기반의 귀납적 분석을 실시하고자 한다. 이를 통하여 모바일 운영 시스템의 성공과 실패에 있어서의 주요 규칙들을 도출하여, 모바일 운영 시스템이 상업적으로 성공하는데 필요한 전략적 시사점을 제시하고자 한다.

• 대한지구과학교육학회지
• /
• 제8권2호
• /
• pp.206-217
• /
• 2015

The purpose on this study is to identify how effectively experiential learning involving eco-activities make changes in environmental literacy and scientific attitude of elementary students by categorizing those activities into 5 fields of "marine", "rivers", "ecosystem", "climate" and "recycling" and applying those scheme specifically to 5th graders in a elementary school. The conclusion of this study is following. Firstly, after scientific attitude are applied to subjects, a significant disparity was found between experiment group and control group throughout all parts of environmental literacy. In the cognitive category, each specialist concerning his or her own topic was invited to educate the students, and subsequently a positive impact was detected in the category of environmental issue knowledge. In behavioral category, having eco-activities made a significant disparity in all sub-categories of environmental function, active participation, saving activities, recycling activities and so forth. Secondly, experiential learning involving eco-activities made a significant disparity between the two groups in terms of Scientific Attitude, showing effectiveness in all sub-categories except curiosity.

• International journal of advanced smart convergence
• /
• 제9권4호
• /
• pp.173-178
• /
• 2020

As the fourth industrial revolution, in which people, objects, and information are connected as one, various fields such as smart energy, smart cities, artificial intelligence, the Internet of Things, unmanned cars, and robot industries are becoming the mainstream, drawing attention to big data. Among them, Smart Grid is a technology that maximizes energy efficiency by converging information and communication technologies into the power grid to establish a smart grid that can know electricity usage, supply volume, and power line conditions. Smart meters are equient that monitors and communicates power usage. We start with the goal of building a virtual smart grid and constructing a virtual environment in which real-time data is generated to accommodate large volumes of data that are small in capacity but regularly generated. A major role is given in creating a software/hardware architecture deployment environment suitable for the system for test operations. It is necessary to identify the advantages and disadvantages of the software according to the characteristics of the collected data and select sub-projects suitable for the purpose. The collected data was collected/loaded/processed/analyzed by the Hadoop ecosystem-based big data platform, and used to predict power demand through deep learning.

• 인터넷정보학회논문지
• /
• 제23권3호
• /
• pp.125-135
• /
• 2022

본 연구는 데이터, 네트워크, 인공지능을 기반으로 산업 생태계 조성을 위해 구축된 정부통계지표가 약국 매출액에 영향을 미치는지 머신러닝을 이용하여 변인을 탐색하고 약국 매출액 예측에 적합한 분석 기법을 제공하고자 한다. 이에, 본 연구는 28개 정부통계지표와 소매업종인 약국을 대상으로 2016년 1월부터 2021년 12월까지의 분석 데이터를 활용하여 머신러닝 기법인 랜덤 포레스트, XGBoost, LightGBM, CatBoost을 통해 예측 변인 및 성능을 탐색하였다. 분석결과 경기관련 지표인 경제심리지수, 경기동행지수순환변동치, 소비자심리지수는 약국 매출액에 영향을 미치는 중요한 변인으로 나타났고, 회귀성능은 지표 MAE, MSE, RMSE를 살펴본 결과 랜덤 포레스트가 XGBoost, LightGBM, CatBoost 보다 성능이 가장 우수하게 나타났다. 이에, 본 연구는 머신러닝 결과를 토대로 약국 매출액에 영향을 미치는 변인과 최적의 머신러닝 기법을 제시하였으며, 여러 시사점과 후속연구를 제안하였다.

• Journal of Ecology and Environment
• /
• 제33권4호
• /
• pp.275-288
• /
• 2010

Ecological modeling faces some unique problems in dealing with complex environment-organism relationships, making it one of the toughest domains that might be encountered by a modeler. Newer technologies and ecosystem modeling paradigms have recently been proposed, all as part of a broader effort to reduce the uncertainty in models arising from qualitative and quantitative imperfections in the ecological data. In this paper, evolutionary computation modeling approaches are introduced and proposed as useful modeling tools for ecosystems. The results of our case study support the applicability of an algal predictive model constructed via genetic programming. In conclusion, we propose that evolutionary computation may constitute a powerful tool for the modeling of highly complex objects, such as river ecosystems.

• Ocean and Polar Research
• /
• 제35권4호
• /
• pp.291-298
• /
• 2013

In order to investigate the topography and exposure duration of the Siheung tidal flat, tidal ranges and DEM constructed by remote sensing techniques were analyzed. A cross-sectional diagram of the intertidal area reveals that it is relatively flat in the upper zone and then abruptly plunges into the bottom of the main channel where elevations increase in an upstream direction. The waterline during the Highest Low Water (HLW) is drawn back to the bottom of the channel at the middle part of the tidal flat and is formed along the slant of the channel during the Lowest High Water (LHW). The intertidal zone is located between -410 cm and 510 cm in terms of elevation and its total area is $0.65km^2$. An area between the Highest High Water (HHW) and Lowest High Water (LHW), occupying about 80% of the total area, occupies $0.52km^2$ of total area and accounts for 56% of the exposure duration. The boundary of wetland protection area in the Siheung tidal flat did not exactly coincide with the intertidal regime and differs by more than 15%. This study, which precisely analyzed the tidal flat area, tidal environment, and topography, would be useful in making a conservation plan and in learning how to use a wetland protection area in a sustainable manner.

• 한국컴퓨터정보학회논문지
• /
• 제16권3호
• /
• pp.175-187
• /
• 2011

곤충 종은 환경생태학적 종 다양성 보존과 국가적 생물자원 활용전략 관점에서 중요한 역할을 하기 때문에 생태계의 주요 구성요소로 인식되고 있다. 곤충 종 보존과 육성을 위해서는 곤충전문가는 물론 곤충비전문가인 일반인과 학생들도 곤충에 관심을 가질 수 있는 곤충관찰학습 환경이 요구된다. 그러므로, 곤충식별은 관찰학습에 있어서 주요학습의 동기유발 요인이 된다. 현재 서비스하고 있는 온라인 곤충 종 분류검색시스템은 시간 소모적이며, 곤충 종에 대한 지식이 부족한 일반인들이 곤충식별의 도구로 사용하기에는 많은 노력을 요구하기 때문에 비효율적이다. 본 연구에서는 이러한 문제를 해결하기 위하여, 일반인들이 자연 생태계에서 관찰한 내용을 바탕으로 곤충식별을 도와주는 스마트폰 기반의 유러닝시스템인 곤충 종 식별추론 시스템을 제안하였다. 본 시스템은 사용자의 곤충관찰정보와 생물학적 곤충특성과의 유사도에 기반하여 추론검색을 수행한다. 이를 위해, 생물학적 곤충특성을 목, 과, 종 단위의 27개 항목으로 분류하고, 관찰 단계별 유사도 지표를 제안하였다. 또한, 본 연구의 유용성을 보이기 위하여 추론검색 프로토타입시스템을 개발하고, 기존의 분류검색시스템과의 곤충식별 비교테스트를 하였다. 실험결과, 본 연구의 추론검색 방법이 곤충식별의 효과성에 있어 더 우수함을 보였고, 검색시간에 있어서도 보다 효율적인 시스템이 될 수 있음을 보였다.

• 한국환경복원기술학회지
• /
• 제22권3호
• /
• pp.15-30
• /
• 2019

Changpo Lake was created as a part of a land reclamation for refugee self-helping projects. It shows characteristics of a fresh water lake, and still retains the early appearance of reclamation that surrounding regions have not been developed into farm lands. Shallow wetland has formed around the lake, which provides great conditions for diverse lives, and surrounding earthiness is favorable for growth of vegetation and restoration of the ecosystem. However, as facilities of the Muan International Airport nearby Changpo Lake are expanding and barns are being constructed, artificialness is gradually increasing. Particularly, since pollution sources such as sport facilities, farm lands and barns are scattered around Changpo Lake, pollutants are flowing in constantly. Accordingly, the results for setting up management areas according to the spatial characteristics and creating natural ecological spaces near Changpo Lake, Taebongcheon stream and Hakgyecheon stream are as follows. First, the creation of a natural eco-friendly waterfront space should be promoted by securing the health of the aquatic ecosystem and restoring species and the ecosystem. In addition, a consultative body needs to be formed to lead local residents to participating in river investigation and monitoring, maintenance, and management through role sharing. Second, the basic direction of the spatial management plan is to keep the unique charm of Changpo Lake, maintain harmony with nature, create diverse waterfront areas, and secure the continuity of Changpo Lake and inflow streams. Moreover, the area should be divided into three zones such as a conservation zone, a restoration zone and a waterfront zone, and for each zone, the preservation of vegetation, the creation of ecological wetlands and restoration of the ecotone and ecological nature need to be promoted. Third, facilities and activity programs for each space of Changpo Lake should be operated for efficient management of protected areas. In order to suit the status of each space, biological habitats, water purification spaces, experiential and learning spaces, and convenience and rest spaces should be organized and designated as research, monitoring, education, and tourism areas. Accordingly, points of interest should be set up within the corresponding area. In this study, there are many parts that need to be supplemented for immediate implementation since the detailed plans and project costs for the promotion of programs by area are not calculated. Therefore, it is necessary to make detailed project plans and consider related projects such as water quality, restoration of habitats, nature learning and observation, and experience of ecological environments based on the categories such as research, monitoring, education and tourism in the future.

• 한국환경보건학회지
• /
• 제28권5호
• /
• pp.13-21
• /
• 2002

This study analyzed the characteristic of basic river structure, a flood level, the tree planting recommendation and syn thetic design, in order to establish a basic plan for preparing a natural practical area of environmental ecosystem at Bukchun and its surroundings. It was also investigated based on the opinion of citizens, geographical condition and the equipment/utilization examination of Bukchun which were included ecological circumstances, and thus provided a composite item for managing the natural river. This study also considered the development of the river in terms of culture, environment and ecology concept. The results were summarized as followed. Bukchun showed that the speed of a funning fluid is very fast on a period of flood. but very slow in a period of water shortage about 0.02 m/s. To prevent the speed change of a running fluid by a steep slope in a riverbed, there established Dongchun sluice gates under a bridge, including three sluice gates under a bridge, but there occurred extremely a riverbed erosion and corrosion section. The result of comparison between real flood degree and prediction flood data, there should perform a countermeasure the riverbed structure regulation of this area. Also, it was needed an exhaustive flood management in summer. According to the Bukchun and Hyungsangang riverbed investigation, there were needed preparation for natural/practical area and ecology Park development in the future. This study was investigated tree Planting/flower/blossom around the Bukchun and its surroundings. It was recommended willow, Italian poplar, bamboos and cherry blossoms in the Hyungsangang and Bukchun. There exist together historical space, environment space iud have enough possibility both natural learning space and civil rest space. And, it is possible to compose ecology natural learning and experimental area.

• 상하수도학회지
• /
• 제34권1호
• /
• pp.35-43
• /
• 2020

Turbidity has various effects on the water quality and ecosystem of a river. High turbidity during floods increases the operation cost of a drinking water supply system. Thus, the management of turbidity is essential for providing safe water to the public. There have been various efforts to estimate turbidity in river systems for proper management and early warning of high turbidity in the water supply process. Advanced data analysis technology using machine learning has been increasingly used in water quality management processes. Artificial neural networks(ANNs) is one of the first algorithms applied, where the overfitting of a model to observed data and vanishing gradient in the backpropagation process limit the wide application of ANNs in practice. In recent years, deep learning, which overcomes the limitations of ANNs, has been applied in water quality management. LSTM(Long-Short Term Memory) is one of novel deep learning algorithms that is widely used in the analysis of time series data. In this study, LSTM is used for the prediction of high turbidity(>30 NTU) in a river from the relationship of turbidity to discharge, which enables early warning of high turbidity in a drinking water supply system. The model showed 0.98, 0.99, 0.98 and 0.99 for precision, recall, F1-score and accuracy respectively, for the prediction of high turbidity in a river with 2 hour frequency data. The sensitivity of the model to the observation intervals of data is also compared with time periods of 2 hour, 8 hour, 1 day and 2 days. The model shows higher precision with shorter observation intervals, which underscores the importance of collecting high frequency data for better management of water resources in the future.