• International journal of advanced smart convergence
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• 제4권1호
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• pp.31-34
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• 2015

Recently, the various types of data are began to increase. In order to manage the data efficiently, a variety of cloud services are being made. However, while providing a cloud service, the problem is the cost and waste a lot of human power to manage the data that is generated and managed by the server. To solve this problem, it is build the cloud environment using a single board computer with Raspberry pi. In this paper, we used Raspberry pi as a cloud server to provide services for the users. And we construct a Total Server to manage the generated data. It can separate the processing of data and the provision of services. We ensure the efficient operation by building a cloud environment with Raspberry pi and by managing the data which generated in cloud environment with the total server.

• Journal of the Korean Data and Information Science Society
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• 제18권2호
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• pp.375-384
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• 2007

As teachings that use the ICT are more popular, many studies on the dynamic geometry environment(DGE) are under way. An important factor emphasized in the studies is to practical use learning activities of learners. In this study, we first define the learning history data in DGE. Second we develop a prototype of the DGE that is able to collect and analyze the learning history data automatically. The environment enables not only to grasp leaning history but also to create and manage new learning objects.

• 한국컴퓨터정보학회논문지
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• 제21권1호
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• pp.85-90
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• 2016

In this paper, the biometric data is transmitted in real time from the IoT environment is runoff, forgery, alteration, prevention of the factors that can be generated from a denial-of-service in advance, and the security strategy for the biometric data to protect the biometric data secure from security threats offer. The convenience of living in our surroundings to life with the development of ubiquitous computing and smart devices are available in real-time. And is also increasing interest in the IOT. IOT environment is giving the convenience of life. However, security threats to privacy also are exposed for 24 hours. This paper examines the security threats to biological data to be transmitted in real time from IOT environment. The technology for such security requirements and security technology according to the analysis of the threat. And with respect to the biometric data transmitted in real time on the IoT environment proposes a security strategy to ensure the stability against security threats and described with respect to its efficiency.

• 한국물환경학회지
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• 제35권6호
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• pp.481-496
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• 2019

The Ministry of Environment has measured streamflow at eight-day intervals for the estimation of standard flow of the Total Maximum Daily Loads (TMDL) system. This study identified the availability of the partially measured the eight-day interval data for estimating standard flow and found the optimal extension techniques of standard flow. The study area was selected for the Nakbon-A watershed in the Nakdong River, and four streamflow record extension techniques of standard flow were considered: extension, percentile, drainagearea, and regional regression methods. The flow duration curve (FDC) using the eight-day interval streamflow data indicated very high Nash and Sutcliffe Efficiency (NSE) values above 90 % from FDC-II to FDC-VII compared to FDC-VIII, the standard FDC. This result demonstrates that FDC using daily data of three-six cumulative years could represent standard FDC fairly well. For the streamflow record extension techniques of standard flow, the percentile method was selected as the optimal alternative, showing the minimal difference from FDC-VIII. These results validate the availability of the eight-day interval streamflow data in the standard flow estimation and the application of extension techniques. It seems that these results could reduce the uncertainty of partially measured streamflow data for water quantity and quality management.

• KIEAE Journal
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• 제12권6호
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• pp.113-121
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• 2012

A hospital is the most important infra-facility of the places which take care of people's body in social environment. There exist several environmental factors in the ways to heal the human body in hospital ward, but this study tried to look into the improvable pleasant sickroom environment with focus on light environment among the factors. In other words, this study aims at the research on proper daylight inflow into sickroom space as basic data for understanding the link between healing environment and natural lighting. In the simulation analysis through this research, this study completed the initial simulation using Autodesk Revit 2011 with focus on two types of individual multi-bed room units of the two general hospitals located in Gwangju City. This study made a simulation analysis of The two multi-bed rooms looking to the west using the weather data on Gwangju district, which is the strong point of ECOTECT2011. Conclusively, looking into the analysis of the simulation model in time of attaching the length of in & outside light shelf, the angle controlling of light shelf, the daylight factor and DA were found to show the tendency to decrease in the numerical value due to the decrease in sunlight inflow as the simulation model moved more toward the room from the window in comparison with the existing analysis of multi-bed rooms. Particularly, this study was able to read that the daylight factor and DA were more decreasing to improve at the light shelf than the existing bedrooms; conclusively, this study judges that the natural lighting simulation analysis could be helpful in improving the healing environment as basic data.

• 대한원격탐사학회지
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• 제36권4호
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• pp.637-643
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• 2020

In this study, the information from environmental impact statements was converted into spatial data because environmental data from development sites are collected during the environmental impact assessment (EIA) process. Spatiotemporal big data were built from environmental spatial data for each environmental medium for 2,235 development sites during 2007-2018, available from public data portals. Comparing air-quality monitoring stations, 33,863 measurement points were constructed, which is approximately 75 times more measurement points than that 452 in Air Korea's real-time measurement network. Here, spatiotemporal big data from 2,677,260 EIAs were constructed. In the future, such data might be used not only for EIAs but also for various spatial plans.

• 한국정보전자통신기술학회논문지
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• 제16권5호
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• pp.354-361
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• 2023

빅데이터 분석 시스템들은 다양한 형태의 방대한 데이터를 저장 및 처리, 분석을 위해 MongoDB와 같은 NoSQL 데이터베이스를 적용한다. MongoDB는 환경 구성에 따라 분산 처리 및 데이터 복제를 통해 확장성과 빠른 데이터 처리 속도를 제공한다. 본 논문에서는 구현하는 빅데이터 분석 시스템에 적합한 MongoDB 환경 구성에 대해 연구한다. 성능 평가를 위한 환경은 크게 싱글 노드와 다중 노드 환경으로 구성하였으며, 다중 노드 환경은 데이터 노드의 수를 2대에서 3대까지 확장하여 각 환경별 성능을 측정하였다. 분석 결과, 3차원 이상의 복잡한 데이터 구조의 데이터 처리 속도는 싱글 노드 환경이 2개의 데이터 노드 환경에 비해 약 5.75% 빠르게 처리하지만,3개의 데이터 노드 환경은 싱글 노드 환경에 비해 약 25.15% 이상 빠르게 처리한다. 그러나 데이터 구조가 단순한 1차원 데이터 구조는 다중 노드 환경이 싱글 노드 환경에 비해 약 28.63% 빠르게 처리한다. 향후 본 연구를 기반으로 다양한 데이터 구조 및 방대한 양의 데이터를 통한 실질적인 검증이 필요하다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.91.3-91
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• 2001

A sensor fusion scheme for mobile robot environment recognition that incorporates range data and contour data is proposed. Ultrasonic sensor provides coarse spatial description but guarantees open space with no obstacle within sonic cone with relatively high belief. Laser structured light system provides detailed contour description of environment but prone to light noise and is easily affected by surface reflectivity. Overall fusion process is composed of two stages: Noise elimination and belief updates. Dempster Shafer´s evidential reasoning is applied at each stage. Open space estimation from sonar range measurements brings elimination of noisy lines from laser sensor. Comparing actual sonar data to the simulated sonar data enables ...

• 한국콘텐츠학회논문지
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• 제9권1호
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• pp.147-158
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• 2009

최근 스트림데이터 환경의 데이터 모델은 데이터의 양이 아주 크고 연속적이며 무한하다. 이에 반해 제한된 용량의 디스크나 메모리 등을 이용해서 질의 처리나 데이터 분석을 처리한다. 이러한 환경에서 트랜잭션 데이터베이스에 대한 전통적인 빈발패턴탐사는 불가능하다고 할 수 있다. 왜냐하면, 연속적으로 들어오는 스트림 데이터에 대해 어떤 항목집합이 빈발항목인지 아닌지에 대한 정보를 계속적으로 유지 관리하기가 어렵기 때문이다. 본 논문에서는 연속적으로 들어오는 스트림 데이터에 회귀모델을 적용하여 빈발 항목들을 예측할 수 있는 방법을 제안한다. 스트림 데이터로부터 회귀모델을 생성함으로써 불확실한 항목들에 대한 예측 모델로 사용할 수 있다. 다양한 실험을 통하여 제안하는 방법이 스트림 데이터 환경의 데이터에 효율적으로 사용될 수 있음을 보인다.

• 한국멀티미디어학회논문지
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• 제20권9호
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• pp.1559-1566
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• 2017

Recently in the IoT(Internet of Things) environment, a data collection in real-time through device's sensor has increased with an emergence of various devices. Collected data from IoT environment shows a large scale, non-uniform generation cycle and atypical. For this reason, the distributed processing technique is required to analyze the IoT sensor data. However if you do not consider the optimal scheduling for data and the processor of IoT in a distributed processing environment complexity increase the amount in assigning a task, the user is difficult to guarantee the QoS(Quality of Service) for the sensor data. In this paper, we propose APQTA(Adaptive Priority Queue-driven Task Allocation method for sensor data processing) to efficiently process the sensor data generated by the IoT environment. APQTA is to separate the data into job and by applying the priority allocation scheduling based on the deadline to ensure that guarantee the QoS at the same time increasing the efficiency of the data processing.