• Title/Summary/Keyword: 테이블 관리

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Basic Data Analysis of the Quality Control for Patient Safety in Department of Radiation Oncologyat Yeungnam University Hospital (영남대학교병원의 환자안전을 위한 정도관리의 기초자료 분석)

  • Oh, Se An;Kim, Sung Kyu;Yea, Ji Woon;Kang, Min Kyu;Lee, Joon Ha;Lee, Rena
    • Progress in Medical Physics
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    • v.26 no.2
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    • pp.112-117
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    • 2015
  • In order to establish the quality control on patient safety following the guideline presented by American Association of Physicists in Medicine (AAPM) TG-100 committee, we aim to analyze the modes based on errors occurred during treatment of patients at the radiation oncology department at Yeungnam University Hospital and establish a quality control guideline for patient safety when patient-centered radiation treatment is conducted. We aim to analyze the errors that can occur during radiation treatment at the radiation department, and assess the frequency of error, the severity of error affecting patients, and probability of proceeding without noticing error, with scores. The places where errors can take place were divided into CT simulation treatment room, treatment planning room, and treatment room for the analysis. In CT simulation treatment room, an error from using the immobilization device showed the highest Risk Priority Number (RPN) value of 60, and an error from simulation treatment information input showed the lowest of 6. In treatment planning room, an error from selecting the radiation dose calculation model showed the highest RPN value of 168, and an error of patient treatment start date showed the lowest of 36. In treatment room, a Table Bar error showed the highest RPN value of 252, a weight change error showed 190, and a Pillow error showed the lowest of 24.

Comparing the Performance of a Deep Learning Model (TabPFN) for Predicting River Algal Blooms with Varying Data Composition (데이터 구성에 따른 하천 조류 예측 딥러닝 모형 (TabPFN) 성능 비교)

  • Hyunseok Yang;Jungsu Park
    • Journal of Wetlands Research
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    • v.26 no.3
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    • pp.197-203
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    • 2024
  • The algal blooms in rivers can negatively affect water source management and water treatment processes, necessitating continuous management. In this study, a multi-classification model was developed to predict the concentration of chlorophyll-a (chl-a), one of the key indicators of algal blooms, using Tabular Prior Fitted Networks (TabPFN), a novel deep learning algorithm known for its relatively superior performance on small tabular datasets. The model was developed using daily observation data collected at Buyeo water quality monitoring station from January 1, 2014, to December 31, 2022. The collected data were averaged to construct input data sets with measurement frequencies of 1 day, 3 days, 6 days, 12 days. The performance comparison of the four models, constructed with input data on observation frequencies of 1 day, 3 days, 6 days, and 12 days, showed that the model exhibits stable performance even when the measurement frequency is longer and the number of observations is smaller. The macro average for each model were analyzed as follows: Precision was 0.77, 0.76, 0.83, 0.84; Recall was 0.63, 0.65, 0.66, 0.74; F1-score was 0.67, 0.69, 0.71, 0.78. For the weighted average, Precision was 0.76, 0.77, 0.81, 0.84; Recall was 0.76, 0.78, 0.81, 0.85; F1-score was 0.74, 0.77, 0.80, 0.84. This study demonstrates that the chl-a prediction model constructed using TabPFN exhibits stable performance even with small-scale input data, verifying the feasibility of its application in fields where the input data required for model construction is limited.

Development of Geometrical Quality Control Real-time Analysis Program using an Electronic Portal Imaging (전자포탈영상을 이용한 기하학적 정도관리 실시간 분석 프로그램의 개발)

  • Lee, Sang-Rok;Jung, Kyung-Yong;Jang, Min-Sun;Lee, Byung-Gu;Kwon, Young-Ho
    • The Journal of Korean Society for Radiation Therapy
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    • v.24 no.2
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    • pp.77-84
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    • 2012
  • Purpose: To develop a geometrical quality control real-time analysis program using an electronic portal imaging to replace film evaluation method. Materials and Methods: A geometrical quality control item was established with the Eclipse treatment planning system (Version 8.1, Varian, USA) after the Electronic Portal Imaging Device (EPID) took care of the problems occurring from the fixed substructure of the linear accelerator (CL-iX, Varian, USA). Electronic portal image (single exposure before plan) was created at the treatment room's 4DTC (Version 10.2, Varian, USA) and a beam was irradiated in accordance with each item. The gaining the entire electronic portal imaging at the Off-line review and was evaluated by a self-developed geometrical quality control real-time analysis program. As for evaluation methods, the intra-fraction error was analyzed by executing 5 times in a row under identical conditions and procedures on the same day, and in order to confirm the infer-fraction error, it was executed for 10 days under identical conditions of all procedures and was compared with the film evaluation method using an Iso-align$^{TM}$ quality control device. Measurement and analysis time was measured by sorting the time into from the device setup to data achievement and the time amount after the time until the completion of analysis and the convenience of the users and execution processes were compared. Results: The intra-fraction error values for each average 0.1, 0.2, 0.3, 0.2 mm at light-radiation field coincidence, collimator rotation axis, couch rotation axis and gantry rotation axis. By checking the infer-fraction error through 10 days of continuous quality control, the error values obtained were average 1.7, 1.4, 0.7, 1.1 mm for each item. Also, the measurement times were average 36 minutes, 15 minutes for the film evaluation method and electronic portal imaging system, and the analysis times were average 30 minutes, 22 minutes. Conclusion: When conducting a geometrical quality control using an electronic portal imaging, it was found that it is efficient as a quality control tool. It not only reduces costs through not using films, but also reduces the measurement and analysis time which enhances user convenience and can improve the execution process by leaving out film developing procedures etc. Also, images done with evaluation from the self-developed geometrical quality control real-time analysis program, data processing is capable which supports the storage of information.

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Minimizing Security Hole and Improving Performance in Stateful Inspection for TCP Connections (TCP연결의 스테이트풀 인스펙션에 있어서의 보안 약점 최소화 및 성능 향상 방법)

  • Kim, Hyo-Gon;Kang, In-Hye
    • Journal of KIISE:Information Networking
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    • v.32 no.4
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    • pp.443-451
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    • 2005
  • Stateful inspection devices must maintain flow information. These devices create the flow information also for network attack packets, and it can fatally inflate the dynamic memory allocation on stateful inspection devices under network attacks. The memory inflation leads to memory overflow and subsequent performance degradation. In this paper, we present a guideline to set the flow entry timeout for a stateful inspection device to remove harmful embryonic entries created by network attacks. Considering Transmission Control Protocol (TCP) if utilized by most of these attacks as well as legitimate traffic, we propose a parsimonious memory management guideline based on the design of the TCP and the analysis of real-life Internet traces. In particular, we demonstrate that for all practical purposes one should not reserve memory for an embryonic TCP connection with more than (R+T) seconds of inactivity where R=0, 3, 9 and $1\leqq{T}\leqq{2}$ depending on the load level.

Time-based DHT Peer Searching Scheme for P2P VOD Service (P2P VOD 서비스를 위한 시간 기반 DHT 피어 탐색 기법)

  • Suh, Chedu;Ko, Choonghyo;Choi, Changyeol;Choi, Hwangkyu
    • Journal of Digital Contents Society
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    • v.15 no.2
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    • pp.251-261
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    • 2014
  • In the typical P2P VOD system, it is very important to develop the fast and efficient peer searching scheme since the peers frequently join and leave to/from P2P system. This paper proposes a new peer searching scheme for P2P VOD system based on DHT network environment. The proposed scheme constructs DHT network by managing the peers having close playback starting times and close network locations into a peer all together. The peer information is mapped onto DHT nodes by hashing the key values each of which consists of the starting time and network location of the peer. From the simulation results, the number of messages required to search the partner peers are decreased, and the number of buffer maps exchanging among the peers are also decreased. The proposed scheme can reduce the average network distances among the partner peers. As a result, the proposed scheme makes routing more efficient and it saves the network resources by decreasing communication traffic overhead.

Designing a Repository Independent Model for Mining and Analyzing Heterogeneous Bug Tracking Systems (다형의 버그 추적 시스템 마이닝 및 분석을 위한 저장소 독립 모델 설계)

  • Lee, Jae-Kwon;Jung, Woo-Sung
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.9
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    • pp.103-115
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    • 2014
  • In this paper, we propose UniBAS(Unified Bug Analysis System) to provide a unified repository model by integrating the extracted data from the heterogeneous bug tracking systems. The UniBAS reduces the cost and complexity of the MSR(Mining Software Repositories) research process and enables the researchers to focus on their logics rather than the tedious and repeated works such as extracting repositories, processing data and building analysis models. Additionally, the system not only extracts the data but also automatically generates database tables, views and stored procedures which are required for the researchers to perform query-based analysis easily. It can also generate various types of exported files for utilizing external analysis tools or managing research data. A case study of detecting duplicate bug reports from the Firfox project of the Mozilla site has been performed based on the UniBAS in order to evaluate the usefulness of the system. The results of the experiments with various algorithms of natural language processing and flexible querying to the automatically extracted data also showed the effectiveness of the proposed system.

Design and Implementation of Statistics System for Traditional Korean Medicine (한방 통계 시스템의 설계 및 구현)

  • Yea, Sang-Jun;Kim, Chul;Jang, Hyun-Chul;Kim, Sang-Kyun;Kim, Jin-Hyun;Song, Mi-Young
    • The Journal of the Korea Contents Association
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    • v.9 no.12
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    • pp.332-338
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    • 2009
  • The statistics of traditional korean medicine is essential aspects for the information based policy establishment and the evidence based traditional korean medicine research. But because the integrated statistics service of traditional korean medicine is not provided, people are hard to find out suitable statistics. Thus we analyzed the produced statistics from many ministries, classified it into 7 categories and extracted common fields from it. We designed the database schema by summary table dynamic production method from the analysis of statistics and designed the system composed of excel import, statistics analysis, chart creation and search engine. Finally we implemented the statistics system of traditional korean medicine which users are capable of modifying the statistics data freely. We hope that the implemented system will provide pliability in searching and finding statistical information.

Storing Scheme based on Graph Data Model for Managing RDF/S Data (RDF/S 데이터의 관리를 위한 그래프 데이터 모델 기반 저장 기법)

  • Kim, Youn-Hee;Choi, Jae-Yeon;Lim, Hae-Chull
    • Journal of Digital Contents Society
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    • v.9 no.2
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    • pp.285-293
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    • 2008
  • In Semantic Web, metadata and ontology for representing semantics and conceptual relationships of information resources are essential factors. RDF and RDF Schema are W3C standard models for describing metadata and ontology. Therefore, many studies to store and retrieve RDF and RDF Schema documents are required. In this paper, we focus on some results of analyzing available query patterns considering both RDF and RDF Schema and classify queries on RDF and RDF Schema into the three patterns. RDF and RDF Schema can be represented as graph models. So, we proposed some strategies to store and retrieve using the graph models of RDF and RDF Schema. We can retrieve entities that can be arrived from a certain class or property in RDF and RDF Schema without a loss of performance on account of multiple joins with tables.

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Effective 3D Inner Model Visualization for GIS Web Service (GIS 표준 웹 서비스 적용을 위한 3차원 실내모델의 효율적 시각화)

  • Jeong, Jang-Yoon;Yom, Jae-Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.1
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    • pp.701-711
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    • 2009
  • The inner space of building is increasingly becoming complex as urban activities increase in variety, and the actual space size also increases. This trend necessitate the utilization of three dimensional position information within the inner space of buildings. Standard GIS web service technology and visualization technology are applied to 3D inner space building data to share these information for better decision making in building related applications such as fire evacuation, facilities management and market analysis. This study aims to effectively model and visualize the three dimensional space of building interiors in the GIS aspect, and to be able to share the information through standard GIS web service. The various elements of inner model was assigned and stored into pre-designed spatial database tables respectively. GIS web server was then configured to service the database which was populated with 3D inner model data. On the client side, 3D visualization modules was developed using a 3D graphic rendering S/W engine.

A Disjoint Multi-path Routing Protocol for Efficient Transmission of Collecting Data in Wireless Sensor Network (무선 센서 네트워크에서 수집 데이터의 효과적인 전송을 위한 비겹침 다중경로 라우팅 프로토콜)

  • Han, Dae-Man;Lim, Jae-Hyun
    • The KIPS Transactions:PartC
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    • v.17C no.5
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    • pp.433-440
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    • 2010
  • Energy efficiency, low latency and scalability for wireless sensor networks are important requirements, especially, the wireless sensor network consist of a large number of sensor nodes should be minimized energy consumption of each node to extend network lifetime with limited battery power. An efficient algorithm and energy management technology for minimizing the energy consumption at each sensor node is also required to improve transfer rate. Thus, this paper propose no-overlap multi-pass protocol provides for sensor data transmission in the wireless sensor network environment. The proposed scheme should minimize network overhead through reduced a sensor data translation use to searched multi-path and added the multi-path in routing table. Proposed routing protocol may minimize the energy consumption at each node, thus prolong the lifetime of the sensor network regardless of where the sink node is located outside or inside the received signal strength range. To verify propriety proposed scheme constructs sensor networks adapt to current model using the real data and evaluate consumption of total energy.