http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
다양한 형태의 사물데이터 질의 처리를 위한 단일 색인 및 시각화 방안
한진주(Jinju Han),나철원(Chul-Won Na),이다희(Dahee Lee),이도훈(Do-Hoon Lee),온병원(Byung-Won On),이용(Ryong Lee),박민우(Min-Woo Park),이상환(Sang-Hwan Lee) 한국컴퓨터정보학회 2019 韓國컴퓨터情報學會論文誌 Vol.24 No.9
Recently, a variety of IoT data is collected by attaching geosensors to many vehicles that are on the road. IoT data basically has time and space information and is composed of various data such as temperature, humidity, fine dust, Co2, etc. Although a certain sensor data can be retrieved using time, latitude and longitude, which are keys to the IoT data, advanced search engines for IoT data to handle high-level user queries are still limited. There is also a problem with searching large amounts of IoT data without generating indexes, which wastes a great deal of time through sequential scans. In this paper, we propose a unified spatial index model that handles both grid and trajectory queries using a cell-based space-filling curve method. also it presents a visualization method that helps user grasp intuitively. The Trajectory query is to aggregate the traffic of the trajectory cells passed by taxi on the road searched by the user. The grid query is to find the cells on the road searched by the user and to aggregate the fine dust. Based on the generated spatial index, the user interface quickly summarizes the trajectory and grid queries for specific road and all roads, and proposes a Web-based prototype system that can be analyzed intuitively through road and heat map visualization.
전기 가격 예측을 위한 맵리듀스 기반의 로컬 단위 선형회귀 모델
한진주(Jinju Han),이인규(Ingyu Lee),온병원(Byung-Won On) 대한전기학회 2018 전기학회논문지 P Vol.67 No.4
Predicting accurate electricity prices is an important task in the electricity trading market. To address the electricity price forecasting problem, various approaches have been proposed so far and it is known that linear regression-based approaches are the best. However, the use of such linear regression-based methods is limited due to low accuracy and performance. In traditional linear regression methods, it is not practical to find a nonlinear regression model that explains the training data well. If the training data is complex (i.e., small-sized individual data and large-sized features), it is difficult to find the polynomial function with n terms as the model that fits to the training data. On the other hand, as a linear regression model approximating a nonlinear regression model is used, the accuracy of the model drops considerably because it does not accurately reflect the characteristics of the training data. To cope with this problem, we propose a new electricity price forecasting method that divides the entire dataset to multiple split datasets and find the best linear regression models, each of which is the optimal model in each dataset. Meanwhile, to improve the performance of the proposed method, we modify the proposed localized linear regression method in the map and reduce way that is a framework for parallel processing data stored in a Hadoop distributed file system. Our experimental results show that the proposed model outperforms the existing linear regression model. Specifically, the accuracy of the proposed method is improved by 45% and the performance is faster 5 times than the existing linear regression-based model.
유아와 어머니가 재구성한 집 공간의 의미: COVID-19 대유행 시기 동안
한진주 ( Han Jinju ) 한국유아교육학회 2022 유아교육연구 Vol.42 No.6
This study aims to explore the spatial meaning of the house experienced by children and mothers during the COVID-19 pandemic. The results of interviews with seven families' mothers and children during three months of research are as follows. First, participants created a vacant space in the house into a diversiform space through affection. Second, each participant experienced the house space in different meanings. Third, the participants extended the hidden house space in fantasy and time. Fourth, they experienced limited house space due to the monitoring of others and the prevention of infectious diseases. Based on the research results, expansion of the understanding horizon of spatially divided into space/human, and inside/outside, etc. were discussed. Furthermore, children were found to be spatial beings that make house spaces heterogeneously.
실내 공기 개선을 위한 공기 측정 및 시각화 시스템 설계
김종현(Jong Hyeon Kim),한진주(Jinju Han),김장원(Jangwon Gim),온병원(Byung-Won On) 한국정보기술학회 2018 Proceedings of KIIT Conference Vol.2018 No.6
이 논문에서는 공기오염의 위험성 경고를 위한 실내 공기 측정 및 시각화 시스템을 제안한다. 실내 활동이 잦은 계절에는 히터 사용과 환기의 부족으로 인해 실내공기 오염도가 심각하다. 또한 미세먼지와 같은 대기환경오염의 원인들이 증가하여 실외 뿐 아니라 실내에도 영향을 끼친다. 그러므로 실내 상태를 주기적으로 확인하여 환경을 개선할 필요성이 요구된다. 이 논문에서는 아두이노, 라즈베리 파이 및 다양한 센서를 이용하여 실내 환경의 데이터를 수집하여 시각화를 통해 대기환경오염의 위험성을 경고해주는 시스템을 제안한다. 이 논문은 실내 공기 질 향상을 위해 자동적으로 다양한 센서로 데이터를 수집하고 빅데이터 기술을 이용하여 시각화하는 지능형 시스템 개발을 위한 사전연구이다. This paper presents an indoor air measurement and visualization system for alarming the risk of air pollution. Indoor air pollution becomes gradually serious due to lack of heating and ventilation in winter seasons. In particular, fine dust makes the pollution degree of indoor and outdoor air worse. Therefore, it is necessary to periodically check indoor condition to lower the pollution level of indoor air. In this work, we propose a web-based system that regularly collects various sensing information about fine dust, carbon dioxide, temperature, and humidity and visualize the trend of indoor air pollution over time. Our effort is a preliminary study for developing an intelligent system that automatically collects/stores sensing information from various IoT sensors and visualizes results from Big Data technology for improving indoor air quality.
아두이노와 라즈베리 파이 기반의 스마트 도어록 시스템 구현
김찬중 ( Chanjoong Kim ),문선예 ( Sunye Moon ),김수정 ( Sujeong Kim ),박수양 ( Sooyang Park ),한진주 ( Jinju Han ),이호영 ( Hoyoung Lee ),윤영하 ( Youngha Yoon ),정동원 ( Dongwon Jeong ) 한국정보처리학회 2017 한국정보처리학회 학술대회논문집 Vol.24 No.1
이 논문은 보안성과 성능이 향상된 새로운 스마트 도어록 시스템을 제안한다. 기존의 1세대 도어록은 보안성이 취약하다는 단점을 지닌다. 이를 해결하기 위해 NFC 기반 시스템이 제안되었으나 취약한 보안 문제를 완벽히 해결하지 못한다. 이 논문에서는 아두이노, 라즈베리 파이 및 다양한 센서를 이용한 스마트 도어록 시스템을 제안한다. 제안 시스템 구현을 위해 초음파센서, 라즈베리 파이 카메라, 부저, 서보모터를 이용한다. 또한 3D프린팅을 이용하여 제작한 프로토타입을 보인다.