• Title/Summary/Keyword: basic error

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The Basic Study of Position Recognition Cow-teats Used Scanning Range Finder (레이저스캔 센서를 이용한 유두위치인식에 관한 기초연구)

  • Kim, Woong
    • Journal of Animal Environmental Science
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    • v.17 no.2
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    • pp.93-100
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    • 2011
  • This study was conducted to verify the applicability of robot milking system through acquisition and analysis of model teat's position information using scanning range finder (SRF). Model teats, same size and shape as real teats, were designed to analyze the properties according to the material, distance error and angle error of the sensor. In addition, 2-dimensional distance information of each teats was obtained at same time with 4 teat models and the result were as follows. 1. In the case of the fingers on the experiment for selection of materials for teat model, the distance error was from 4.3 mm to 1.3 mm, average was 2.8 mm as a minimum record. In the case of rubber material, average distance error was 4.3 mm. So, this material was considered to be a most suitable model. 2. The distance error was maximum at 100 mm distance. The more distance increased, the less error increased up to 300 mm. Then the error increased after 300 mm and decreased again. 3. The maximum angle error of 10.1 mm was measured at $170^{\circ}$, in case of $70^{\circ}$ the error was 0.2 mm as a minimum value. There was no specific tendency to error of angle. 4. In the 2-dimensional location error for 4 teat models, distance error was 3.8 mm as minimum and 7.2 mm as maximum. The angle error was $1.2^{\circ}$ as maximum. All of errors were included within the accuracy of sensor, the robot milking system was considered to be applicable to measure the distance of teats due to the measuring velocity of SRF and the hole size of teat-cup.

IGBT Open-Circuit Fault Diagnosis for 3-Phase 4-Wire 3-Level Active Power Filters based on Voltage Error Correlation

  • Wang, Ke;Tang, Yi;Zhang, Xiao;Wang, Yang;Zhang, Chuan-Jin;Zhang, Hui
    • Journal of Power Electronics
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    • v.16 no.5
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    • pp.1950-1963
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    • 2016
  • A novel open-circuit fault diagnosis method for 3-phase 4-wire 3-level active power filters based on voltage error correlation is proposed in this paper. This method is based on observing the output pole voltage error of the active power filter through two kinds of algorithms. One algorithm is a voltage error analytical algorithm, which derives four output voltage error analytic expressions through the pulse state, current value and dc bus voltage, respectively, assuming that all of the IGBTs of a certain phase come to an OC fault. The other algorithm is a current circuit equation algorithm, which calculates the real-time output voltage error through basic circuit theory. A correlation is introduced to measure the similarity of the output voltage errors between the two algorithms, and OC faults are located by the maximum of the correlations. A FPGA has been chosen to implement the proposed method due to its fast prototyping. Simulation and experimental results are presented to show the performance of the proposed OC fault diagnosis method.

Simultaneous Quantitative Determination of Monosaccharides Including Fructose in Hydrolysates of Yogurt and Orange Juice Products by Derivatization of Monosaccharides with p-Aminobenzoic Acid Ethyl Ester Followed by HPLC

  • Ko, Joung-Ho;Huang, Huazi;Kang, Gyoung-Won;Cheong, Won-Jo
    • Bulletin of the Korean Chemical Society
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    • v.26 no.10
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    • pp.1533-1538
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    • 2005
  • We have determined the contents of monosaccharides in the hydrolysates of some yogurt and orange juice products by derivatizing monosaccharides with p-aminobenzoic acid ethyl ester (ABEE). The separation of the ABEE-derivatized monosaccharides was efficiently carried out by HPLC using a microcolumn packed with the Alltima $C_{18}$ stationary phase. The concentrations of monosaccharides were determined based on the measured peak area/height counts. ABEE derivatization of fructose and its detection have never been successfully carried out before this work. In this study, two peaks were observed in a fixed ratio for ABEE-fructose, and the ratio was maintained over a wide range of fructose concentration. In order to prove the validity of the above method, we compared the concentrations of glucose, galactose and fructose determined by ABEE derivatization and UVD (ultraviolet detector) chromatography with those determined by RID (refractive index detector) chromatography without derivatization. The determined concentrations of monosaccharides obtained from the two chromatographic methods were found close to each other within acceptable error ranges.

A Study on the Types and Causes of Medication Errors and Related Drugs - by Analyzing AJNs Medication Error 73 Cases - (임상에서의 투약오류원인과 관련 의약품 분석 - AJN에 기고된 Medication Error 기사의 73사례를 중심으로 -)

  • Cho Won Sun
    • Journal of Korean Public Health Nursing
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    • v.16 no.1
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    • pp.176-189
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    • 2002
  • The purpose of this study were to illustrate the various medication error types and causes and identified to related drugs to provide basic data for preventing nurses' medication error by analysing 73 cases of AJN 'medication Error' column(1993, Oct -2000, Nov). Nurses' types of medication error were classified into 7 types. The most frequent error types are wrong medication$(21.9\%)$ and the wrong dose$(21.9\%)$ together. The others are wrong $time(4.1\%)$, $omission(2.7\%)$, mechanical $error(2.7\%)$, incorrect IV $rate(1.4\%)$. wrong route $administration(1.4\%)$ in order. Nurses' causes of medication error were 9 kinds. The most frequent type is confusing between similar drug shape, color, size, name, injection devices and patient's $name(43.9\%)$ and the others are lack of knowledge about $drugs(26.8\%),\; slips(7.3\%),\; miscalculating\;dose(4.9\%)$, incorrect adjusts $devices(4.9\%)$, difficulty to read or illegible decimal $point(4.9\%),$ $abbreviation(2.4\%)$, fatigue with $overwork(2.4\%)$ and no communication with $patient(2.4\%)$ in order. Related drugs with medication error are as follows. - dose unit(IU. minims. mcg/min. mEq) : Heparin. insulin. synthetic calcitonin, some enzymes and hormones, vitamins, some antibiotics, tuberculin injection. MgSO4 injection. nitroglycerin - similar size, color and shape drug : $0.9\%$ N/S and acetic acid $0.25\%$ for irrigation. premixed 2mg lidocaine sol. and $0.9\%$ N/S, gentamycin 20mg/2mL for children and 80mg/2mL for adult, dextroamphetamine 5mg and 10mg capsule. sedatives chloral hydrate 250mg/5mL and 500mg/5mL - similar name :Aredia(pamidronate disodium) and Adriamycin(doxorubicin), Lamictal (lamotrigine) and Lamisil 250mg. Elderpryl and enalapril, cefotaxime and cefoxitin, carboplatin and cisplatin, sumatriptan and zolmitriptan, Celebrex and Celexa, Humulin and Humalog, Percodan and Percocet, Diabeta and Diabinese, Epivir and Retrovir, Xanax(alprazolam) and Zantac(ranitidine) - decimal point : low molecular weight warfarin, methotrexate - unfamiliar drug uses of familiar drug ; methotrexate. droperidol, imipramine, propranolol - number of drug name(misleading chemical name) : 6-thioguanine, 6-mercaptopurine, 5-fluorouracil - type of administration route : Oxycodone(OxyContin). - administration time : acarbose(Precose). - injection way (Z-track method): hydroxyzine - epidural cathether : LMWHs(enoxaparin, dalteparin), - ADD Vantage self contained delivery system : ceftriaxone(Rocephin)

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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.

Research on Education Conditions of Basic Clothing Patterns in Korean Colleges & Universities (국내 대학 의류패션계열학과 의복원형설계 교육실태 조사)

  • Oh, Song-Yun;Choi, Hei-Sun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.3
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    • pp.346-359
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    • 2012
  • This study provides basic guidelines to enrich lecture content and teaching methods for university lecturers about basic clothing construction (flat pattern making). The survey was conducted from October $13^{th}$ to December $20^{th}$ 2010 by mail and e-mail on 96 selected clothing departments in Korean universities to investigate the content, method and condition of the course of basic pattern making. A total of 63.3% of survey respondents were PhD graduates, 80 percent majored 'Apparel Science and Technology', average of total teaching experience was 12.84 years and 40 percent had studied abroad. The surveyed universities were 4 year universities (70%), 2-3 year tenure colleges (27%), and Cyber Universities (3%). The average number of students in a class was 28.08 and the lab space and equipment was evaluated positively only when the number of students was 20 or less. The type of measurements for basic pattern drafting were 'individual student's sizes' (62%), 'ready-made clothes sizing system' (25%), 'professor's experiential sizes' (5%), 'dress form sizes' (3%). In addition, the percentage of using 'ready-made clothes sizing system' increased 13% over the previous study (Lee, 2000). At a basic pattern drafting stage, 'the error of body measurements' in the case of using individual student's sizes, 'the poor results of fitting for students who deviate from standard body size' in the case of using ready-made clothes sizing system, 'the lack of education about fitting' in the case of using dress form sizes had been pointed out as shortcomings. A total of 66% of survey respondents carried out muslin fitting; however, a lack of students and teacher feedback about fitting & alteration of paper patterns remained a problem.

Vocal separation method using weighted β-order minimum mean square error estimation based on kernel back-fitting (커널 백피팅 알고리즘 기반의 가중 β-지수승 최소평균제곱오차 추정방식을 적용한 보컬음 분리 기법)

  • Cho, Hye-Seung;Kim, Hyoung-Gook
    • The Journal of the Acoustical Society of Korea
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    • v.35 no.1
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    • pp.49-54
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    • 2016
  • In this paper, we propose a vocal separation method using weighted ${\beta}$-order minimum mean wquare error estimation (WbE) based on kernel back-fitting algorithm. In spoken speech enhancement, it is well-known that the WbE outperforms the existing Bayesian estimators such as the minimum mean square error (MMSE) of the short-time spectral amplitude (STSA) and the MMSE of the logarithm of the STSA (LSA), in terms of both objective and subjective measures. In the proposed method, WbE is applied to a basic iterative kernel back-fitting algorithm for improving the vocal separation performance from monaural music signal. The experimental results show that the proposed method achieves better separation performance than other existing methods.

Reliability of two different presurgical preparation methods for implant dentistry based on panoramic radiography and cone-beam computed tomography in cadavers

  • Hu, Kyung-Seok;Choi, Da-Yae;Lee, Won-Jae;Kim, Hee-Jin;Jung, Ui-Won;Kim, Sung-Tae
    • Journal of Periodontal and Implant Science
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    • v.42 no.2
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    • pp.39-44
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    • 2012
  • Purpose: Special care is necessary to avoid invading important anatomic structures during surgery when presurgical planning is made based on radiographs. However, none of these types of radiography represents a perfect modality. The purpose of this study was to determine the reliability of presurgical planning based on the use of two types of radiographic image (digital panoramic radiography [DPR] and cone-beam computed tomography [CBCT]) by beginner dentists to place implants, and to quantify differences in measurements between radiographic images and real specimens. Methods: Ten fresh cadavers without posterior teeth were used, and twelve practitioners who had no experience of implant surgery performed implant surgery after 10 hours of basic instruction using conventional surgical guide based on CBCT or DPR. Two types of measurement error were evaluated: 1) the presurgical measurement error, defined as that between the presurgical and postsurgical measurements in each modality of radiographic analysis, and 2) the measurement error between postsurgical radiography and the real specimen. Results: The mean presurgical measurement error was significantly smaller for CBCT than for DPR in the maxillary region, whereas it did not differ significantly between the two imaging modalities in the mandibular region. The mean measurement error between radiography and real specimens was significantly smaller for CBCT than for DPR in the maxillary region, but did not differ significantly in the mandibular region. Conclusions: Presurgical planning can be performed safely using DPR in the mandible; however, presurgical planning using CBCT is recommended in the maxilla when a structure in a buccolingual location needs to be evaluated because this imaging modality supplies buccolingual information that cannot be obtained from DPR.

A Proposal of Quality Evaluation Methodology for Radar Data (레이더 자료의 품질평가 기법 제안)

  • Yoo, Chulsang;Yoon, Jungsoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.5B
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    • pp.429-435
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    • 2010
  • This study proposed a methodology for evaluating the radar rainfall data, whose basic idea is similar to the analysis of variance in statistics. This method enables us to represent separately the error from the bias and that from the data variability. The proposed method was then applied to two storm events for its evaluation. As results, the error from the bias was found to comprises most of the raw radar data error, which becomes significantly decreased in the quality improved cases. On the other hand, the error from the data variability was rather increased due to the quality improvement procedure. The proposed methodology was found to be effective for evaluating the data quality of a storm event for steps of quality improvement, but has a limitation for comparing qualities of storm events. This limitation should be implemented for its general application.

Development of Ultra-compact LED Package and Analysis of Defect Type (극소형 LED 패키지의 개발과 불량 유형의 분석)

  • Lee, Jong Chan
    • Journal of the Korea Convergence Society
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    • v.8 no.12
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    • pp.23-29
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    • 2017
  • This paper introduces the mold technology for the development of ultra-compact package of less than 1mm, and also analyze the error pattern of the results using this mold technology. The existing ultra-small mold structure was one-piece, which caused the surface of EDM to be rough and increase the error rate. This has been an obstacle to further reducing the size of the mold. On the other hand, the proposed mold technology tries to overcome the limitation of the one-piece type by using the prefabricated type method. This paper also classify defect patterns in the results of the proposed mold structure and analyze the occurrence probability of each pattern to use as a basic data to develop a detector.