• Title/Summary/Keyword: Automatic-Analysis

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Automatic Titration Using Micro pH Electrode in Volatile Basic Nitrogen Analysis (마이크로 pH전극을 이용한 휘발성염기질소의 자동적정)

  • Lee, Hyeong-Choon
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.35 no.4
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    • pp.507-509
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    • 2006
  • An automatic titration was performed by a home-made automatic control system adopting a micro pH electrode as its sensing part in microdiffusion-based volatile basic nitrogen (VBN) analysis. The micro electrode was considered to be adequate for automatic VBN analysis because of its small sensor size, low immersion depth and unbreakable body. Six pork samples in different degree of freshness were analyzed both manually and automatically. The data from automatic titration were not significantly different from those taken by manual titration even at 15% significance level. The correlation coefficient was 1.000.

Tribological Failure Analysis of Automatic Transmission in a Passenger Car (승용차 자동변속기의 고장사례에 관한 트라이볼로지적 고찰)

  • Kim, Chung-Kyun;Lee, Il-Kwon
    • Tribology and Lubricants
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    • v.21 no.5
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    • pp.227-235
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    • 2005
  • This paper presents a tribological study on the failure cases of automatic transmission components in a passenger car. The automatic transmission system is composed of torque converter, clutch, brake, planetary gear, and valve body controlling oil pressure of an automatic transmission fluid. The most largest influence components in an automatic transmission are a torque converter and clutch plate in which are influenced by a wear and torque converting energy loss. The failure case study of an automatic transmission indicates that the tribological design and maintenance technologies should be considered as a key design concept. This means that the failure and power energy loss come from the friction, wear and a oil leakage of an automatic transmission, which is related to the oil seal and O-ring seal failures.

Development of Virtual Prototype for Labeling: Unit on the Automatic Battery Manufacturing Line (건전지 자동화 조립라인의 라벨링부의 Virtual Prototype 개발)

  • 정상화;차경래;김현욱;신병수;나윤철
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2002.04a
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    • pp.357-362
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    • 2002
  • Most of battery industries are growing explosively as a core strategy industry for the development of the semi-conductor, the LCD, and the mobile communication device. In this thesis, dynamic characteristics of the steel can labeling machine on the automatic cell assembly line are studied. Dynamic characteristic analysis consists of dynamic behavior analysis and finite element analysis and is necessary for effective design of machines. In the dynamic behavior analysis, the displacement, velocity, applied force and angular velocity of each components are simulated according to each part. In the FEA, stress analysis, mode analysis, and frequency analysis are performed for each part. The results of these simulations are used for the design specification investigation and compensation for optimal design of cell manufacturing line. Therefore, Virtual Engineering of the steel can labeling machine on the automatic cell assembly line systems are modeled and simulated. 3D motion behavior is visualized under real-operating condition on the computer window. Virtual Prototype make it possible to save time by identifying design problems early in development, cut cost by reducing making hardware prototype, and improve quality by quickly optimizing full-system performance. As the first step of CAE which integrates design, dynamic modeling using ADAMS and FEM analysis using NASTRAN are developed.

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Analysis of Automatic Machine Learning Solution Trends of Startups

  • Lee, Yo-Seob
    • International Journal of Advanced Culture Technology
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    • v.8 no.2
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    • pp.297-304
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    • 2020
  • Recently, open source automatic machine learning solutions have been applied in many fields. To apply open source automated machine learning to real world problems, you need to write code with expertise in machine learning. Writing code without machine learning knowledge is challenging. To solve this problem, the automatic machine learning solutions provided by startups are made easy to use with a clean user interface. In this paper, we review automatic machine learning solutions of startups.

Case Study of Electronic Fuel Injection Powertrain System FMEA Using Model-Based Fault Injection technique (모델 기반 결함 주입 기법을 이용한 Electronic Fuel Injection 전장 시스템 FMEA 사례연구)

  • Ye-ju Kim;Ye-won Na;Dong-min Lee;Ju-Young Kim;Jong-whoa Na
    • Journal of Advanced Navigation Technology
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    • v.27 no.4
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    • pp.436-446
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    • 2023
  • In the field of safety-critical systems, analyzing the effects of various failure factors (failure modes) is essential through Failure Mode and Effects Analysis (FMEA). However, with the increasing importance of software in systems, applying FMEA analysis to the design phase has become challenging. This paper proposes the use of Automatic FMEA, which can automatically perform FMEA using model-based design techniques, and presents a case study of FMEA for automotive engines. A comparison is made between the model-based Automatic FMEA analysis tool and existing FMEA tools. The study aims to demonstrate the performance of the Automatic FMEA analysis tool and propose future research plans.

Probabilistic Structure Design of Automatic Salt Collector Using Reliability Based Robust Optimization (신뢰성 기반 강건 최적화를 이용한 자동채염기의 확률론적 구조설계)

  • Song, Chang Yong
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.5
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    • pp.799-807
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    • 2020
  • This paper deals with identification of probabilistic design using reliability based robust optimization in structure design of automatic salt collector. The thickness sizing variables of main structure member in the automatic salt collector were considered the random design variables including the uncertainty of corrosion that would be an inevitable hazardousness in the saltern work environment. The probabilistic constraint functions were selected from the strength performances of the automatic salt collector. The reliability based robust optimum design problem was formulated such that the random design variables were determined by minimizing the weight of the automatic salt collector subject to the probabilistic strength performance constraints evaluating from reliability analysis. Mean value reliability method and adaptive importance sampling method were applied to the reliability evaluation in the reliability based robust optimization. The three sigma level quality was considered robustness in side constraints. The probabilistic optimum design results according to the reliability analysis methods were compared to deterministic optimum design results. The reliability based robust optimization using the mean value reliability method showed the most rational results for the probabilistic optimum structure design of the automatic salt collector.

Automatic Titration Using PC Camera in Volatile Basic Nitrogen Analysis by Microdiffusion Method (미량확산법에 의한 휘발성염기질소 분석에서 PC카메라를 이용한 자동적정)

  • Lee, Hyeong-Choon
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.34 no.1
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    • pp.135-137
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    • 2005
  • A PC-based automatic system was developed for automatic titration in volatile basic nitrogen analysis by the microdiffusion method. The system used a CCD-type PC camera for the automatic detection of the titration end point. The camera checked whether the green value of a pixel on the red image of titrated solution became greater than the red value. The data from the automatic titration using the system were not significantly different (p>0.05) from those taken by manual titration. The agreement between means of data from manual titration and those from automatic titration was good.

Improvement of Sensitivity Based Concurrent Subspace Optimization Using Automatic Differentiation (자동미분을 이용한 민감도기반 분리시스템동시최적화기법의 개선)

  • Park, Chang-Gyu;Lee, Jong-Su
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.2
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    • pp.182-191
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    • 2001
  • The paper describes the improvement on concurrent subspace optimization(CSSO) via automatic differentiation. CSSO is an efficient strategy to coupled multidisciplinary design optimization(MDO), wherein the original design problem is non-hierarchically decomposed into a set of smaller, more tractable subspaces. Key elements in CSSO are consisted of global sensitivity equation, subspace optimization, optimum sensitivity analysis, and coordination optimization problem that require frequent use of 1st order derivatives to obtain design sensitivity information. The current version of CSSO adopts automatic differentiation scheme to provide a robust sensitivity solution. Automatic differentiation has numerical effectiveness over finite difference schemes tat require the perturbed finite step size in design variable. ADIFOR(Automatic Differentiation In FORtran) is employed to evaluate sensitivities in the present work. The use of exact function derivatives facilitates to enhance the numerical accuracy during the iterative design process. The paper discusses how much the automatic differentiation based approach contributes design performance, compared with traditional all-in-one(non-decomposed) and finite difference based approaches.

Internal Flow Analysis and Structural Design in Plastic Automatic Control Valve for the Semiconductor Chemical Liquid (반도체 약액용 자동제어 플라스틱 밸브의 내부 유동해석)

  • Lee, Gyu-Hoon;Lee, Eung-Suk;Lee, Min-Ki;Kim, Jin-Su;Bae, Il-Jin
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.21 no.2
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    • pp.311-315
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    • 2012
  • Diaphragm type noncontact automatic control valve is a valve for controling acidic PR(Photo Resist) liquid used in the semiconductor process. PR is photosensitive liquid that changes phases depending on light transmittance. PR is very toxic and expensive; the purpose of this paper is to address methods that prevent loss due to leaks. The design of noncontact precise automatic control valve is expected to play an important role in controlling fluid flow, therefore influencing energy conservation and environmental improvement. In this paper, diaphragm type automatic control valve's part design, assembly and simulation are introduced. Also, through the analysis of fluid flow the valve's internal velocity, pressure, and turbulent intensity are interpreted. This paper proposes to contribute to the improvement of the valve's performance.

Building an Exceptional Pronunciation Dictionary For Korean Automatic Pronunciation Generator (한국어 자동 발음열 생성을 위한 예외발음사전 구축)

  • Kim, Sun-Hee
    • Speech Sciences
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    • v.10 no.4
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    • pp.167-177
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    • 2003
  • This paper presents a method of building an exceptional pronunciation dictionary for Korean automatic pronunciation generator. An automatic pronunciation generator is an essential element of speech recognition system and a TTS (Text-To-Speech) system. It is composed of a part of regular rules and an exceptional pronunciation dictionary. The exceptional pronunciation dictionary is created by extracting the words which have exceptional pronunciations from text corpus based on the characteristics of the words of exceptional pronunciation through phonological research and text analysis. Thus, the method contributes to improve performance of Korean automatic pronunciation generator as well as the performance of speech recognition system and TTS system.

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