• Title/Summary/Keyword: Rigorous approach

Search Result 182, Processing Time 0.028 seconds

Stochastic Model for Unification of Stereo Vision and Image Restoration (스테레오 비젼 및 영상복원 과정의 통합을 위한 확률 모형)

  • Woo, Woon-Tak;Jeong, Hong
    • Journal of the Korean Institute of Telematics and Electronics B
    • /
    • v.29B no.9
    • /
    • pp.37-49
    • /
    • 1992
  • The standard definition of computational vision is a set of inverse problems of recovering surfaces from images. Thus the common characteristics of the most early vision problems are ill-posed. The main idea for solving ill-posed problems is to restrict the class of admissible solutions by introducing suitable a priori knowledge. Standard regurarization methods lead to satisfactory solutions of early vision problems but cannot deal effectively and directly with a few general problems, such as discontinuity and fusion of information from multiple modules. In this paper, we discuss limitations of standard regularization theory and present new stochastic method. We will outline a rigorous approach to overcome part of ill-posedness of image restoration, edge detection, and stereo vision problems, based on Bayes estimation and MRF(Markov random field) model, that effectively deals with the problems. This result makes one hope that this framework could be useful in the solution of other vision problems.

  • PDF

Simultaneous Vibrational and Rotational Transitions in HF + Ar (HF와 Ar 衝突中의 振動-回轉遷移)

  • Hyung Kyu Shin
    • Journal of the Korean Chemical Society
    • /
    • v.18 no.1
    • /
    • pp.12-24
    • /
    • 1974
  • The importance of rotational transitions in the vibrational deexcitation of HF(1${\rightarrow}$0) in HF+Ar collisions has been investigated by a semiclassical three-dimensional approach. Because of the inclusion of rotational transitions, this study gives vibrational transition probabilities which are very large compared to results of conventional vibration-to-translation energy transfer theories. Currently available experimental studies suggest that this effect is important and has to be included in rigorous calculations.

  • PDF

A Semantics-based Modeling Technique for Healthcare Workflow System (시멘틱 기반의 의료 워크플로우 시스템 모델링 기법)

  • Lee Sang-Young;Lee Yoon-Suk
    • Journal of the Korea Computer Industry Society
    • /
    • v.6 no.3
    • /
    • pp.551-558
    • /
    • 2005
  • Although OMG gives a textual semantics for UML activity diagrams, some ambiguities can be caused due to the lack of rigorous semantics. That is to say it is difficult to present precise semantics which is taken as important in workflow system with the guide provided by OMG to the n activity diagram. In this paper, the alternative approach of using Abstract State Machine(ASM) to formalize UML activity diagrams is presented. It suggested that ASM semantics is extended corresponding the workflow system characteristics.

  • PDF

Stereoscopic 3D Modelling Approach with KOMPSAT-2 Satellite Data

  • Tserennadmid, T.;Kim, Tae-Jung
    • Korean Journal of Remote Sensing
    • /
    • v.25 no.3
    • /
    • pp.205-214
    • /
    • 2009
  • This paper investigates stereo 3D viewing for linear pushbroom satellite images using the Orbit-Attitude Model proposed by Kim (2006) and using OpenGL graphic library in Digital Photogrammetry Workstation. 3D viewing is tested with KOMPSAT-2 satellite stereo images, a large number of GCPs (Ground control points) collected by GPS surveying and orbit-attitude sensor model as a rigorous sensor model. Comparison is carried out by two accuracy measurements: the accuracy of orbit-attitude modeling with bundle adjustment and accuracy analysis of errors in x and y parallaxes. This research result will help to understand the nature of 3D objects for high resolution satellite images, and we will be able to measure accurate 3D object space coordinates in virtual or real 3D environment.

Reassessment on SEBAL Algorithm and MODIS Products

  • Uranchimeg, Sumiya;Kwon, Hyun-Han;Kim, Hyun-Mook;Kim, Yun-Hee
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2016.05a
    • /
    • pp.230-230
    • /
    • 2016
  • Hydrological modeling is a very complex task dealing with multi-source of data, but it can be potentially benefited from recent improvements and developments in remote sensing. The estimation of actual land surface evapotranspiration (ET), an important variable in water management, has become possible based entirely on satellite data. This study adopted a Surface Energy Balance Algorithm for Land (SEBAL) with the use of MODerate Resolution Imaging Spectrometer (MODIS) satellite products. The SEBAL model is one of the commonly used approach for the ET estimation. A primary advantage of the SEBAL model is rather its minimum requirement for ground-based weather data. The MODIS provides ET (MOD16) product that is based on the Penman-Monteith equation. This study aims to further develop the SEBAL model by employing a more rigorous parameterization scheme including the estimation of uncertainty associated with parameter and model selection in regression model. Finally, the proposed model is compared with the existing approaches and comprehensive discussion is then provided.

  • PDF

Instrumentation and control systems design for nuclear power plant: An interview study with industry practitioners

  • Singh, Pooja;Singh, Lalit Kumar
    • Nuclear Engineering and Technology
    • /
    • v.53 no.11
    • /
    • pp.3694-3703
    • /
    • 2021
  • Instrumentation and Control systems (I&C) play a significant role in nuclear power plants (NPP) and other safety critical systems (SCS). We have conducted a rigorous study and discussions with experienced practitioners worldwide the strategy for the development of I&C systems to investigate the several aspects related to their dependability. We discussed with experienced practitioners that work on nuclear domain with the intention of knowing their approach, they use day-to-day for the development of such systems. The aim of this research is to obtain to provide guidance to those building I&C systems of NPP and have implications on state engineering licensure boards, in the determination of legal liability, and in risk assessment for policymakers, corporate governors, and insurance executives.

Volunteer Experiences of Pediatric Palliative Care among University Students: A Phenomenological Approach

  • Moon, Yi Ji
    • Journal of Hospice and Palliative Care
    • /
    • v.25 no.3
    • /
    • pp.121-132
    • /
    • 2022
  • Purpose: This phenomenological analysis was conducted to explore the experiences of college student volunteers in the field of pediatric palliative care. Methods: In-depth interviews were conducted with nine study participants who had experience volunteering with children receiving pediatric palliative care. The study analysis was conducted using the Colaizzi method, a rigorous qualitative research method, to develop "intra-group" comparisons among the study participants. Results: Through an analysis of the data, 51 themes, 18 theme clusters, and five main categories were derived. The results confirmed that the experience of university student volunteers in pediatric palliative care can be summarized as "awareness of the role of a volunteer," "difficulties encountered while volunteering," "efforts to overcome the difficulties of volunteer work," "personal reflection," and "awareness of life and death." Conclusion: The results of this study can be used as a practical guide for the effective management of volunteers in the pediatric palliative care setting.

P-Triple Barrier Labeling: Unifying Pair Trading Strategies and Triple Barrier Labeling Through Genetic Algorithm Optimization

  • Ning Fu;Suntae Kim
    • International journal of advanced smart convergence
    • /
    • v.12 no.4
    • /
    • pp.111-118
    • /
    • 2023
  • In the ever-changing landscape of finance, the fusion of artificial intelligence (AI)and pair trading strategies has captured the interest of investors and institutions alike. In the context of supervised machine learning, crafting precise and accurate labels is crucial, as it remains a top priority to empower AI models to surpass traditional pair trading methods. However, prevailing labeling techniques in the financial sector predominantly concentrate on individual assets, posing a challenge in aligning with pair trading strategies. To address this issue, we propose an inventive approach that melds the Triple Barrier Labeling technique with pair trading, optimizing the resultant labels through genetic algorithms. Rigorous backtesting on cryptocurrency datasets illustrates that our proposed labeling method excels over traditional pair trading methods and corresponding buy-and-hold strategies in both profitability and risk control. This pioneering method offers a novel perspective on trading strategies and risk management within the financial domain, laying a robust groundwork for further enhancing the precision and reliability of pair trading strategies utilizing AI models.

Self-expandable Metal Stents for Malignant Colorectal Obstruction (악성 대장 폐색에서의 자가팽창형 스텐트 삽입술)

  • Jae Jun Park
    • Journal of Digestive Cancer Research
    • /
    • v.12 no.1
    • /
    • pp.15-22
    • /
    • 2024
  • Malignant colorectal obstructions urgently require decompression therapy to prevent the severe risks of intestinal ischemia and bowel perforation. In managing malignant colonic strictures endoscopically, the use of self-expandable metal stents (SEMS) is the predominant approach. Colonic SEMs are primarily used in preoperative decompression therapy before curative surgery and palliative treatment in patients with advanced disease stages. Furthermore, the stenting process, which requires rigorous clinical supervision, can lead to complications. This review endeavors to concisely review the clinical considerations associated with the SEMS procedure, with a focus on its indications, technical aspects, and potential complications that may arise during the procedure.

Estimation and Analysis Methods for Trastuzumab Deamidation Levels Using Mass Spectrometry

  • Daebong Moon;Geonwoo Kim;Minjae Park;Sunyeol Hong;Mihyeon Nam;Sungsic Park;Jintae Hong
    • Mass Spectrometry Letters
    • /
    • v.15 no.2
    • /
    • pp.107-119
    • /
    • 2024
  • We aimed to develop a suitable quantification method for detecting asparagine deamidation and aspartic acid isomerization in peptide mapping using LC-MS. Our assessment of its validity and suitability involved comparing its quantitative findings with those obtained from cation-exchange chromatography and capillary electrophoresis methods. By subjecting trastuzumab to rigorous conditions to induce these modifications, we validated the efficacy of this new analytical method in peptide mapping via LC-MS, evaluating both qualitative and quantitative aspects of asparagine deamidation and aspartic acid isomerization. Our investigation underscored the significance of enzyme selection and the presence of miss-cleaved or non-specific peptides in achieving accurate quantitative results. The experimental results demonstrated a strong correlation with results from cation-exchange chromatography and capillary electrophoresis analyses, confirming the reliability of the LC-MS based peptide mapping approach.