• Title/Summary/Keyword: Convergence diagnostics.

Search Result 56, Processing Time 0.034 seconds

Convergence Diagnostics for the Gibbs Sampler

  • Sohn, Joong-Kweon;Kim, Heon-Joo;Kang, Sang-Gil
    • Journal of the Korean Data and Information Science Society
    • /
    • v.7 no.1
    • /
    • pp.1-12
    • /
    • 1996
  • The Gibbs sampler is a substantially powerful tool in Bayesian analysis. However, it is necerssary to choose the numbert of iterations and the size of random samples. This problem has been studied by many researchers. The proposed procedures by them are generally difficult to apply to a practical problem. The attraction of the sampling based approaches is their conceptual simplicity and ease of implementation for users with available computing resources but without numerical analytic efforts. In this paper we consider the problem of determining the number of iterations t, which is simple to application.

  • PDF

The Effects of Airport Passengers, CCTV, Signal Device & Electric Alarms on Export to Korea (공항 환승여객과 CCTV, 전기진단 및 의료기기, 전기경보 및 신호장치의 수출이 한국 수출에 미치는 영향 분석)

  • Jang, Ye-Jin;Choi, Jeong-Il
    • Convergence Security Journal
    • /
    • v.20 no.4
    • /
    • pp.217-225
    • /
    • 2020
  • In recent years, the "social distance" has drastically reduced overseas travelers. On the other hand, for personal safety and security, it is expected that interest and demand for CCTV, electric alarm and signaling devices, electric diagnostics and medical devices will increase significantly. The purpose of this paper is to find out the effect of airport transfer passengers and exports of CCTV, electrical diagnostics and medical devices, electrical alarms and signaling devices on exports to Korea, and the synchronism of each variable. To this end, this study used a total of 231 monthly data from January 2000 to April 2020 in the National Statistics Service. As a result of empirical analysis, CCTV and electrical diagnostics and medical devices showed relatively high synchronization with respect to exports to Korea. Electric alarms & signaling devices and transit passengers also showed a certain level of synchronization with exports, but were relatively weak.

Ion Electrical and Optical Diagnostics of an Atmospheric Pressure Plasma Jet

  • Ha, Chang Seung;Shin, Jichul;Lee, Ho-Jun;Lee, Hae June
    • Applied Science and Convergence Technology
    • /
    • v.24 no.1
    • /
    • pp.16-21
    • /
    • 2015
  • The characteristics of an atmospheric pressure plasma jet (APPJ) in He discharge are measured with electrical and optical diagnostics methods. The discharge phenomenon in one cycle of the APPJ was diagnosed using intensified charge coupled device (ICCD) imaging. The gate mode images show that the propagation of plasma bullets happens only when the applied voltage on the inner conductor is positive. Moreover, the Schlieren image of the plasma jet shows that the laminar flow is changed into a turbulent flow when the plasma jet is turned on, especially when the gas flow rate increases.

Bayesian Mode1 Selection and Diagnostics for Nonlinear Regression Model (베이지안 비선형회귀모형의 선택과 진단)

  • 나종화;김정숙
    • The Korean Journal of Applied Statistics
    • /
    • v.15 no.1
    • /
    • pp.139-151
    • /
    • 2002
  • This study is concerned with model selection and diagnostics for nonlinear regression model through Bayes factor. In this paper, we use informative prior and simulate observations from the posterior distribution via Markov chain Monte Carlo. We propose the Laplace approximation method and apply the Laplace-Metropolis estimator to solve the computational difficulty of Bayes factor.

Performance Diagnostics with Altitude Variation of Turbo-Shaft Engine using Gas Path Analysis (GPA 기법을 적용한 터보축 엔진의 고도 변화에 따른 성능진단)

  • Lee Eun-Young;Roh Tae-Seong;Choi Dong-Whan
    • Proceedings of the Korean Society of Propulsion Engineers Conference
    • /
    • 2006.05a
    • /
    • pp.218-221
    • /
    • 2006
  • High reliability and minimization of operating cost are important problems for both engine-manufacturer and user in operation of gas-turbine engine, for which various performance diagnostics including a fault identification have been a major issue nowadays. Performance estimation in the off-design conditions, however, encounters problems of large errors and of poor convergence because of much required data to be evaluated. In this study, a diagnostics code of engine performance has been developed by using GPA(Gas Path Analysis). Quantitative performance deterioration of the turbo-shaft engine for SUAV has been estimated with altitude variation and is compared with that obtained by GSP code.

  • PDF

Defect Diagnostics of Gas Turbine Engine with Mach Number and Fuel Flow Variations Using Hybrid SVM-ANN (SVM과 인공신경망을 이용한 속도 및 연료유량 변화에 따른 가스터빈 엔진의 결함 진단 연구)

  • Choi, Won-Jun;Lee, Sang-Myeong;Roh, Tae-Seong;Choi, Dong-Whan
    • Proceedings of the Korean Society of Propulsion Engineers Conference
    • /
    • 2006.11a
    • /
    • pp.289-292
    • /
    • 2006
  • In this paper, the hybrid algorithm of Support Vector Machine md Artificial Neural Network is used for the defect diagnostics algorithm for the aircraft turbo-shaft engine. The results of learning of ANN, especially, accuracy or speed of convergence are sensitive to the number of data, so a comparison between design point and off-design area, especially, Mach number and fuel flow variable area, is essential research. From application results for diagnostics of gas turbine engine, it was confirmed that the hybrid algorithm could detect well in the of-design area as well as design point.

  • PDF

Chemiresistive Sensor Based on One-Dimensional WO3 Nanostructures as Non-Invasive Disease Monitors

  • Moon, Hi Gyu;Han, Soo Deok;Kim, Chulki;Park, Hyung-Ho;Yoon, Seok-Jin
    • Journal of Sensor Science and Technology
    • /
    • v.23 no.5
    • /
    • pp.291-294
    • /
    • 2014
  • In this study, a chemiresistive sensor based on one-dimensional $WO_3$ nanostructures is presented for application in non-invasive medical diagnostics. $WO_3$ nanostructures were used as an active gas sensing layer and were deposited onto a $SiO_2/Si$substrate using Pt interdigitated electrodes (IDEs). The IDE spacing was $5{\mu}m$ and deposition was performed using RF sputter with glancing angle deposition mode. Pt IDEs fabricated by photolithography and dry etching. In comparison with thin film sensor, sensing performance of nanostructure sensor showed an enhanced response of more than 20 times when exposed to 50 ppm acetone at $400^{\circ}C$. Such a remarkable faster response can pave the way for a new generation of exhaled breath analyzers based on chemiresistive sensors which are less expensive, more reliable, and less complicated to be manufactured. Moreover, presented sensor technology has the potential of being used as a personalized medical diagnostics tool in the near future.

Multiple Defect Diagnostics of Gas Turbine Engine using Real Coded GA and Artificial Neural Network (실수코드 유전알고리즘과 인공신경망을 이용한 가스터빈 엔진의 복합 결함 진단 연구)

  • Seo, Dong-Hyuck;Jang, Jun-Young;Roh, Tae-Seong;Choi, Dong-Whan
    • Proceedings of the Korean Society of Propulsion Engineers Conference
    • /
    • 2008.11a
    • /
    • pp.23-27
    • /
    • 2008
  • In this study, Real Coded Genetic Algorithm(RCGA) and Artificial Neural Network(ANN) are used for developing the defect diagnostics of the aircraft turbo-shaft engine. ANN accompanied with large amount data has a most serious problem to fall in the local minima. Because of this weak point, it becomes very difficult to obtain good convergence ratio and high accuracy. To solve this problem, GA based ANN has been suggested. GA is able to search the global minima better than ANN. GA based ANN has shown the RMS defect error of 5% less in single and dual defect cases.

  • PDF

Interactive image segmentation for ultrasound vascular imaging (초음파 혈관 영상의 상호적 영상 분할)

  • Lee, Onseok;Kim, Mingi;Ha, Seunghan
    • Journal of the Korea Convergence Society
    • /
    • v.3 no.4
    • /
    • pp.15-21
    • /
    • 2012
  • Image segmentation for object to extract data from ultrasound acquired is an essential preprocessing step for the effective diagnosis. Various image segmentation methods have been studied. In this study, interactive image segmentation method by graph cut algorithm is proposed to develop a variety of applications of vascular ultrasound imaging and diagnostics. General imaging and vascular ultrasound imaging segmentation by entering constrain condition such as foreground and background. In the future it will be able to develop new ultrasound diagnostics.

Application of Molecular Diagnostics Technology in the Development of a Companion Diagnostics for Malignant Solid Tumors (악성 고형암의 항암제 동반진단 기술에서 분자진단기술의 적용)

  • Kim, Jin-Hee
    • The Journal of the Korea Contents Association
    • /
    • v.19 no.3
    • /
    • pp.365-374
    • /
    • 2019
  • Unlike benign tumors, malignant tumors are capable of metastasis, easy to relapse, poor survival, and low quality of life. In Korea, here is a tendency to treat the tumors collectively according to the General Principles of Cancer Chemotherapy(GPCC) of the Health Insurance Review & Assessment Service (HIRA). But recently, companion diagnostics(CDx) is recommended rather than unilateral medication because biomarker-based molecular diagnostics is possible to predict the drug response of patients before drug treatment. Not only domestic but also overseas Food and Drug Administratio (FDA) recommends the development of the CDx system at the stage of drug development to ensure the responsiveness and safety of medicines. In this study, I focused on the necessity of CDx development direction as well as CDx development status through literature review. Furthermore I also discussed CDx types according to the molecular diagnostic technology such as immunohistochemistry (IHC), polymerase chain reaction (PCR), in situ hybridization (ISH), and next-generation sequencing (NGS) not only in the approved CDx but also in the developing one by US FDA. And I suggested the technology issue of CDx development process such as a selection of molecular diagnostics at the time of release, a clear understanding of the CDx mechanism, and a convergence of drug with CDx development. The necessity of social insurance system also was proposed for CDx development.