• Title/Summary/Keyword: human errors

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Regulatory Network of MicroRNAs, Host Genes, Target Genes and Transcription Factors in Human Esophageal Squamous Cell Carcinoma

  • Wang, Tian-Yan;Xu, Zhi-Wen;Wang, Kun-Hao;Wang, Ning
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.9
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    • pp.3677-3683
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    • 2015
  • Abnormally expressed microRNAs (miRNAs) and genes have been found to play key roles in esophageal squamous cell carcinoma (ESCC), but little is known about the underlying mechanisms. The aim of this paper was to assess inter-relationships and the regulatory mechanisms of ESCC through a network-based approach. We built three regulatory networks: an abnormally expressed network, a related network and a global network. Unlike previous examples, containing information only on genes or miRNAs, the prime focus was on relationships. It is worth noting that abnormally expressed network emerged as a fault map of ESCC. Theoretically, ESCC might be treated and prevented by correcting the included errors. In addition, the predicted transcription factors (TFs) obtained by the P-match method also warrant further study. Our results may further guide gene therapy researchers in the study of ESCC.

Performance Analysis of Various Forward Solvers in Electrical Impedance Tomography (전기 임피던스 단층촬영 기법에서 여러 정문제 해법들에 대한 성능 비교분석)

  • Kim, Bong Seok;Kim, Kyung Youn
    • Journal of IKEEE
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    • v.19 no.3
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    • pp.407-414
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    • 2015
  • Electrical impedance tomography is an imaging technique to reconstruct the internal conductivity distribution based on applied small currents and measured voltages through an array of electrodes attached on the boundary of a domain of interest. In this paper, an analytical solver with complete electrode model is derived and the analytical voltage data are calculated. Moreover, the voltage data are also computed with existing numerical solvers such as finite element method and boundary element method. The forward solutions using homogeneous and inhomogeneous conditions are compared with phantom experiments through the root mean square errors.

Development of an intelligent and integrated system for automatic inspection of steam-generator tubes in nuclear power plant (원전 증기 발생기 전열관 검사 자동화를 위한 지능형 통합 시스템 개발)

  • Kang, Soon-Ju;Choi, Yoo-Rark;Choe, Seong-Su;Woo, Hee-Gon
    • Journal of Institute of Control, Robotics and Systems
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    • v.2 no.3
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    • pp.236-241
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    • 1996
  • This paper presents a new eddy current testing system for inspecting tubes of steam generator in nuclear power plant. The proposed system adopted embedded expert system concept to automate tasks of the inspection such as inspection planning and flaw signal interpretation, and integrated all the tasks into a client/server type computing architecture using database management system. Therefore, human factor errors occurred during inspection could be minimized and the inspection data could be transferred in real-time. As a result, we can increase the level of inspection confidence and the productivity of a personal inspector. A prototype of the proposed system has been developed for 5 years and the test operation has been performed in domestic nuclear power plants.

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Input Performance of the Old Adults in Touch Interface (고령자용 터치입력장치 설계를 위한 인적 수행도 평가)

  • Hong, Seung-Kweon;Park, Jung-Chul;Kim, Sun-Su
    • Journal of the Ergonomics Society of Korea
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    • v.29 no.4
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    • pp.605-610
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    • 2010
  • In order to design a touch interface for the elderly, human performance of input tasks on the touch screen was investigated by the laboratory experiment. Input times and input errors were measured in the experimental conditions that were changed according to age, key size, interkey space and input tool(finger or stylus pen). In the most of all experimental conditions, the task performance of the elderly was lower than that of the young. However, there were significantly different performance patterns between both groups. As the difficulty of task was getting higher, the task performance of the elderly was sharply decreased; pressing small key button by finger sharply increased input time and error rate, compared to that of the young. Therefore, the square key size suitable to the elderly may be over $8.0{\times}8.0mm$. While the interkey space did not influence to the input task performance of the young, the task performance of the elderly was influenced. The elderly showed big difference of task performance according to input tool. However, the young were less influenced by input tool.

A water treatment case study for quantifying model performance with multilevel flow modeling

  • Nielsen, Emil K.;Bram, Mads V.;Frutiger, Jerome;Sin, Gurkan;Lind, Morten
    • Nuclear Engineering and Technology
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    • v.50 no.4
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    • pp.532-541
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    • 2018
  • Decision support systems are a key focus of research on developing control rooms to aid operators in making reliable decisions and reducing incidents caused by human errors. For this purpose, models of complex systems can be developed to diagnose causes or consequences for specific alarms. Models applied in safety systems of complex and safety-critical systems require rigorous and reliable model building and testing. Multilevel flow modeling is a qualitative and discrete method for diagnosing faults and has previously only been validated by subjective and qualitative means. To ensure reliability during operation, this work aims to synthesize a procedure to measure model performance according to diagnostic requirements. A simple procedure is proposed for validating and evaluating the concept of multilevel flow modeling. For this purpose, expert statements, dynamic process simulations, and pilot plant experiments are used for validation of simple multilevel flow modeling models of a hydrocyclone unit for oil removal from produced water.

Realization of Aircraft Takeoff Systems Based on Voice Instructions (음성지시 기반 항공기 이륙 시스템의 구현)

  • Yang, Chung-Il;Jun, Byung-Kyu;Lim, Sang-Seok
    • Journal of Advanced Navigation Technology
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    • v.12 no.6
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    • pp.559-566
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    • 2008
  • In this paper, we propose a voice instruction-based takeoff system for aircraft including unmanned aerial vehicle (UAV). The system consists of voice recognition (VR), flight state checking and instruction (command) execution. Employing VR technology, the proposed takeoff system can provide simplified and more reliable takeoff procedures to pilots. By virtue of the VR-based system it is expected that human errors during takeoff phase can be reduced and further navigation safety can be improved.

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AUTOMATED TRIANGULAR SURFACE GRID GENERATION ON CAD SURFACE DATA (CAD 형상 데이터를 이용한 물체 표면 삼각형 격자의 자동 생성 기법)

  • Lee, B.J.;Kim, B.S.
    • 한국전산유체공학회:학술대회논문집
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    • 2007.04a
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    • pp.103-107
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    • 2007
  • Computational Fluid Dynamics (CFD in short) approach is now playing an important role in the engineering process recently. Generating proper grid system for the region of interest in time is prerequisite for the efficient numerical calculation of flow physics using CFD approach. Grid generation is, however, usually considered as a major obstacle for a routine and successful application of numerical approaches in the engineering process. CFD approach based on the unstructured grid system is gaining popularity due to its simplicity and efficiency for generating grid system compared to the structured grid approaches. In this paper an automated triangular surface grid generation using CAD surface data is proposed According to the present method, the CAD surface data imported in the STL format is processed to identify feature edges defining the topology and geometry of the surface shape first. When the feature edges are identified, node points along the edges are distributed. The initial fronts which connect those feature edge nodes are constructed and then they are advanced along the CAD surface data inward until the surface is fully covered by triangular surface grid cells using Advancing Front Method. It is found that this approach can be implemented in an automated way successfully saving man-hours and reducing human-errors in generating triangular surface grid system.

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Step size determination method using neural network for personal navigation system (개인휴대 추측항법 시스템을 위한 신경망을 이용한 보폭 결정 방법)

  • 윤선일;홍진석;지규인
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.80-80
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    • 2000
  • The GPS can provide accurate position information on the earth. But GPS receiver can't give position information inside buildings. DR(Dead-Reckoning) or INS(Inertial Navigation System) gives position information continuously indoors as well as outdoors, because they do not depend on the external navigation information. But in general, the inertial sensors severely suffer from their drift errors, the error of these navigation system increases with time. GPS and DR sensors can be integrated together with Kalman filter to overcome these problems. In this paper, we developed a personal navigation system which can be carried by person, using GPS and electronic pedometer. The person's footstep is detected by an accelerometer installed in vertical direction and the direction of movement is sensed by gyroscope and magnetic compass. In this case the step size is varying with person and changing with circumstance, so determining step size is the problem. In order to calculate the step size of detected footstep, the neural network method is used. The teaming pattern of the neural network is determined by human walking pattern data provided by 3-axis accelerometer and gyroscope. We can calculate person's location with displacement and heading from this information. And this neural network method that calculates step size gives more improved position information better than fixed step size.

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A study on the Effective Use of Environmental Information System - focused on the accuracy of raw data - (환경정보체계의 효과적 이용에 관한 고찰 - 원자료의 정확성을 중심으로 -)

  • Lee, Kyoo-Seock
    • Journal of Environmental Impact Assessment
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    • v.7 no.2
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    • pp.27-35
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    • 1998
  • In Korea, the initial installation of GIS requires lots of cost, time, and human efforts. If the accuracy of GIS data does not meet the certain standard for use, the system may not work as expected. So, it needs to be investigated for the accuracy of raw data. However, there is little study for the accuracy of raw data in Korea. Therefore, the purpose of this study is to review the data accuracy of raw data - geologic map, 1:5,000 and 1:25,000 scale topographic map, forest stand map, degree of green naturality(DGN) map, and detailed survey data of DGN map-, which are to be used in Environmental Information System(EIS) in Korea. After this study, some errors in data were surveyed and following conclusions were derived. (1) There is no map data, e. g, wildlife habitat map. (2) Some data are misinterpreted depending on the location in the geologic map. (3) Some data are not updated properly after change of topography in the topographic map or the elevation and location is different depending on the scale.. (4) Some data are not edited properly in the forest stand map, e. g. two attributes in one polygon. (5) DGN classification system does not reflect the characteristic of Korean vegetation community. So, it needs to be refined and restructured.

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Teleoperation by using Smith prediction and Grey prediction with a Time-delay in a Non-visible Environment (스미스 예측기와 그레이 예측 방법을 적용한 시간 지연이 있는 비 가시 환경에서의 원격로봇제어)

  • Jung, JaeHun;Kim, DeokSu;Lee, Jangmyung
    • The Journal of Korea Robotics Society
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    • v.11 no.4
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    • pp.277-284
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    • 2016
  • A new prediction scheme has been proposed for the robust teleoperation in a non-visible environment. The positioning error caused by the time delay in the non-visible environment has been compensated for by the Smith predictor and the sensory data have been estimated by the Grey model. The Smith predictor is effective for the compensation of the positioning error caused by the time delay with a precise system model. Therefore the dynamic model of a mobile robot has been used in this research. To minimize the unstable and erroneous states caused by the time delay, the estimated sensor data have been sent to the operator. Through simulations, the possibility of compensating the errors caused by the time delay has been verified using the Smith predictor. Also the estimation reliability of the measurement data has been demonstrated. Robust teleoperations in a non-visible environment have been performed with a mobile robot to avoid the obstacles effective to go to the target position by the proposed prediction scheme which combines the Smith predictor and the Grey model. Even though the human operator is involved in the teleoperation loop, the compensation effects have been clearly demonstrated.