• 한국컴퓨터정보학회논문지
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• 제24권9호
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• pp.83-95
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• 2019

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.

• Journal of Information Technology Applications and Management
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• 제24권1호
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• pp.33-43
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• 2017

The content curation service through big data analysis is receiving great attention in various content fields, such as film, game, music, and book. This service recommends personalized contents to the corresponding user based on user's preferences. The existing book curation systems recommended books to users by using bibliographic citation, user profile or user log data. However, these systems are difficult to recommend books related to character names or spatio-temporal information in text contents. Therefore, in this paper, we suggest a personalized book curation system based on integrated mining of a book. The proposed system consists of mining system, recommendation system, and visualization system. The mining system analyzes book text, user information or profile, and SNS data. The recommendation system recommends personalized books for users based on the analysed data in the mining system. This system can recommend related books using based on book keywords even if there is no user information like new customer. The visualization system visualizes book bibliographic information, mining data such as keyword, characters, character relations, and book recommendation results. In addition, this paper also includes the design and implementation of the proposed mining and recommendation module in the system. The proposed system is expected to broaden users' selection of books and encourage balanced consumption of book contents.

• Journal of International Society for Simulation Surgery
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• 제4권1호
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• pp.17-20
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• 2017

Purpose Interactive 3D visualization system through remote data transmission over heterogeneous network is growing due to the improvement of internet based real time streaming technology. Materials and Methods The current internet's IP layer has several weaknesses against IP spoofing or IP sniffing type of network attacks since it was developed for reliable packet exchange. In order to compensate the security issues with normal IP layer, we designed a remote medical visualization system, based on Virtual Private Network. Results Particularly in hospital, if there are many surgeons that need to receive the streaming information, too much load on the gateway can results in deficit of processing power and cause the delay. Conclusion End to end security through the network method would be required.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.457-463
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• 2009

The earthwork is essential procedure for all civil engineering projects. Because of its importance in terms of cost and time, it should be managed effectively. In light of this, The Intelligent Excavating System (IES) research consortium has established to improve the productivity, quality and safety of current excavating/earthwork system by the Ministry of Land, Transportation and Maritime Affairs (MLTM) of Korea. This paper summarizes ongoing research aimed at development knowledge and presents a framework of task planning and visualization system for IES. The task planning and visualization system consists of three functions. 1) Using digital terrain model which created by 3D laser scanner, the system can divide it and generates global/local work area so that the excavator can work through the area. 2) In order to operate and/or control the excavator, the system exports the location, paths of boom, arm and bucket data of the excavator to control center. 3) The task planning system is visualized on the computer programming aided-graphic interface which simulates the planned work processes and eventually assists the operator for the control of the excavator. The case study which we have performed, demonstrates the effectiveness of the proposed system.

• 한국컴퓨터그래픽스학회논문지
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• 제22권4호
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• pp.21-30
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• 2016

위험관리 시스템은 단 시간에 의사결정하기 위해 스트림 데이터를 실시간으로 분석 할 수 있어야 한다. 많은 데이터 분석 시스템은 CPU와 디스크 데이터베이스로 구성되어 있다. 하지만, cpu 기반 시스템은 스트림 데이터를 실시간으로 분석하는데 어려움이 있다. 스트림 데이터는 1ms부터 1시간, 1일까지 생성주기가 다양하다. 한 개의 센서가 생성하는 데이터는 작다. 하지만 수 만개의 센서가 생성하는 데이터는 매우 크다. 예를 들어 10만개 센서가 1초에 1GB 데이터를 생성한다면, CPU 기반 시스템은 이를 분석 할 수 없다. 이러한 이유로 실시간 스트림 데이터 분석 시스템은 빠른 처리 속도와 확장성이 필요하다. 본 논문에서는 GPU와 하이브리드 데이터베이스를 이용한 시각화 가속 기술을 제안한다. 제안한 기술을 평가하기 위해 우리는 지하 파이프라인에 설치된 센서와 트윗 데이터를 활용하여 실시간 릭 탐지 시각적 분석 시스템에 적용했다.

• Genomics & Informatics
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• 제18권4호
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• pp.46.1-46.4
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• 2020

We developed the BaSDAS (Barcode-Seq Data Analysis System), a GUI-based pooled knockout screening data analysis system, to facilitate the analysis of pooled knockout screen data easily and effectively by researchers with limited bioinformatics skills. The BaSDAS supports the analysis of various pooled screening libraries, including yeast, human, and mouse libraries, and provides many useful statistical and visualization functions with a user-friendly web interface for convenience. We expect that BaSDAS will be a useful tool for the analysis of genome-wide screening data and will support the development of novel drugs based on functional genomics information.

• International Journal of Internet, Broadcasting and Communication
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• 제13권4호
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• pp.121-128
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• 2021

In order to design a real time big data collection and analysis system of manufacturing data in a smart factory, it is important to establish an appropriate wired/wireless communication system and protocol. This paper introduces the latest communication protocol, OPC-UA (Open Platform Communication Unified Architecture) based client/server function, applied user interface technology to configure a network for real-time data collection through IoT Integration. Then, Database is designed in MES (Manufacturing Execution System) based on the analysis table that reflects the user's requirements among the data extracted from the new cutting process automation process, bush inner diameter indentation measurement system and tool monitoring/inspection system. In summary, big data analysis system introduced in this paper performs SPC (statistical Process Control) analysis and visualization analysis with interface of OPC-UA-based wired/wireless communication. Through AI learning modeling with XGBoost (eXtream Gradient Boosting) and LR (Linear Regression) algorithm, quality and visualization analysis is carried out the storage and connection to the cloud.

• 한국정보통신학회논문지
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• 제13권10호
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• pp.2079-2087
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• 2009

본 논문은 고화질 과학적 가시화의 표출을 위해 개발된 iTABLE 테이블탑 타일드 디스플레이 시스템을 설명한다. iTABLE 시스템은 기존의 프로젝션 기반의 단일 디스플레이로 구성된 테이블탑 시스템들과 비교하여 고해상도 자료 가시화 및 공유에 적합하며 테이블 위에서 상호작용적인 가시화의 그룹 인터랙 션과 분산 협업 가시화를 지원한다. 본 논문에서는 먼저 테이블탑 디스플레이 및 타일드 디스플레이 시 스템과 과학적 가시화에 활용된 관련 연구들을 살펴보고, iTABLE 시스템의 설계 및 구현과 iTABLE을 위한 미들웨어와 적외선 카메라 기반의 탠저블 인터페이스를 활용한 사용자 인터랙션의 지원에 대해서 설명한다. 그리고 iTABLE 시스템의 활용을 위해 개발한 고해상도 과학적 가시화 응용프로그램 사례들을 논하고 결론과 추후 연구에 대해 설명한다.

• 한국CDE학회논문집
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• 제14권2호
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• pp.69-76
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• 2009

The development of a simulation system requires many sub modules such as a dynamic module, a visualization module, etc. If a different freeware is used for each sub modules, it is hard to develop the simulation system by incorporating them because they use their own data structures. To solve this problem, a high-level data structure, called Dynamics Scene Graph Data structure (DSGD) is proposed, by wrapping data structures of two freeware; an Open Dynamics Engine (ODE) for the dynamic module and an Open Scene Graph (OSG) for the visualization module. Finally, to evaluate the applicability of the proposed data structure, it is applied to the block erection simulation in shipbuilding. The result shows that it can be used for developing the simulation system.

• 한국컴퓨터그래픽스학회논문지
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• 제30권3호
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• pp.87-97
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• 2024

본 연구는 PC 및 VR 디바이스를 이용하는 사용자가 리모트 환경에서 데이터 시각화를 협업 분석할 수 있는 시스템을 개발한다. 시스템에서는 사용자들이 시각화 분석의 프로세스 이해를 돕고 역할 분담을 효과적으로 할 수 있도록 업무 지향(task-oriented) 형식의 노드-링크 제어 인터페이스(node-link control interface)를 제공한다. 또한, 다수의 사용자가 물리적으로 공간이 분리되어도 협업을 진행하여 시각화 분석의 피드백을 받을 수 있는 네트워크 환경을 제공한다. 시스템에서 진행하는 협업 분석 방식을 설명하기 위해 시나리오를 설계하였다. 그리고 관련분야 전공자를 대상으로 시스템의 사용성을 측정하는 파일럿 실험을 진행하였다. 실험 결과 확장현실 공간에서 이해하기 쉬운 형식의 인터페이스 조작을 통해 데이터를 자유롭게 분석할 수 있고, 리모트 환경에서도 실시간으로 협업 분석을 수월하게 진행할 수 있음을 확인하였다.