• Title/Summary/Keyword: High resolution

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Role of Esophageal High-Resolution Manometry in Pediatric Patients

  • Prachasitthisak, Noparat;Purcell, Michael;Krishnan, Usha
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.25 no.4
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    • pp.300-311
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    • 2022
  • Purpose: Dysphagia, vomiting and feeding difficulties are common symptoms, with which children present. Esophageal function testing with high resolution manometry can help in diagnosing and treating these patients. We aim to access the clinical utility of high-resolution manometry of esophagus in symptomatic pediatric patients. Methods: A retrospective chart review was done on all symptomatic patients who underwent esophageal high-resolution manometry between 2010 and 2019 at Sydney Children's Hospital, Australia. Manometry results were categorized based on Chicago classification. Demographic data, indication of procedure, manometric findings, and details of treatment changes were obtained and analyzed. Results: There were 62 patients with median age of 10 years (9 months-18 years). The main indication for the procedure was dysphagia (56%). Thirty-two percent of patients had a co-morbid condition, with esophageal atresia accounting for 16%. The majority (77%) of patients had abnormal manometry which included, ineffective esophageal motility in 45.2%. In esophageal atresia cohort, esophageal pressurization was seen in 50%, aperistalsis in 40% and 10% with prior fundoplication had esophago-gastric junction obstruction. Patients with esophago-gastric junction obstruction or achalasia were treated by either pneumatic dilation or Heller's myotomy. Patients with ineffective esophageal motility and rumination were treated with a trial of prokinetics/dietary texture modification and diaphragmatic breathing. Conclusion: Esophageal high-resolution manometry has a role in the evaluation of symptomatic pediatric patients. The majority of our patients had abnormal results which led to change in treatments, with either medication, surgery and/or feeding modification with resultant improvement in symptoms.

High Resolution Frequency Estimation of Real Sinusoids (고분해능의 주파수 추정 알고리즘 개발)

  • Seo, In-Yong
    • Proceedings of the KIEE Conference
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    • 2003.10a
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    • pp.279-282
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    • 2003
  • In this paper, we propose a new high resolution frequency estimator for real sinusoids by using short time data and the AWLS/MFT (Adaptive Weighted Least Squares/ Modulation Function Technique) algorithm. Monte-Carlo simulations verify better performances of the proposed frequency estimator and demonstrate that the proposed AWLS sinusoidal estimator is a high resolution estimator.

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High-resolution Land Cover Mapping of Rural Area Using IKONOS Imagery (IKONOS 영상을 이용한 고해상도 토지피복도 작성)

  • Jung, In-Kyun;Hong, Seong-Min;Kim, Seong-Joon
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2003.10a
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    • pp.71-74
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    • 2003
  • The purpose of this study is to extract agriculture-related information from high-resolution satellite imageries. Calendar of cropping pattern for crops detected on the image was diagrammed, and field investigation was done to check crop status, agricultural facilities and structures. As a result, high-resolution agricultural land cover map from IKONOS imageries was made out.

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High resolution spectroscopic study of the peculiar globular cluster M22 (NGC 6656)

  • Kim, Hyeong-Jun;Lee, Jae-Woo
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.2
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    • pp.65.1-65.1
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    • 2017
  • We present the high-resolution spectroscopic study of the red-giant branch (RGB) stars in the peculiar globular cluster M22 (NGC 6656). We obtained high-resolution spectra of 55 RGB stars using the CTIO 4-m telescope and the HYDRA multi-object spectrograph. By employing an improved LTE analysis method, we measured accurate elemental abundances. In this talk, we will discuss the differences in the chemical composition between the two stellar populations in the context of the formation of M22.

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THE HIGH RESOLUTION SPECTRA OF PU VUL IN 2004 - I (2004년 PU VUL의 고분산 스펙트럼 - I)

  • Yoo, Kye-Hwa
    • Publications of The Korean Astronomical Society
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    • v.20 no.1 s.24
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    • pp.43-48
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    • 2005
  • We present a high resolution spectrum of PU Vul observed at Bohyunsan Optical Astronomy Observatory (BOAO) on April 9, 2004. Permitted emission and nebular lines of PU Vul had been significantly changed compared to all spectra observed since its eruption in 1979. Therefore all new lines should be re-identified and were done so. We do-convoluted a $H{\beta}$ line into several emission components with Gaussian functions. Then we carefully discussed the geometrical feature of PU Vul in April 2004.

HIGH RESOLUTION SPECTRUM OF SYMBIOTIC STAR AG PEGASI (공생형 별 AG PEGASI의 고해상 스펙트럼)

  • Yoo, Kye-Hwa
    • Publications of The Korean Astronomical Society
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    • v.21 no.2
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    • pp.35-42
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    • 2006
  • We report a high resolution spectrum of AG Pegasi observed at Bohyunsan Optical Astronomy Observatory (BOAO) on October 2, 2004. Some of permitted emission lines, for example H I, He I, He II, Fe II and Ti II were observed in the spectrum of AG Pegasi in 2004. Lines presented in the longer wavelength region than $6500{\AA}$ are identified. And radial velocities for each element are measured. Then we carefully discuss the geometrical feature of AG Pegasi in October 2004.

An 8-bit Resolution 140 kFLIPS Fuzzy Microprocessor

  • Sasaki, Mamoru;Ueno, Fumio;Inoue, Takahiro
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.921-924
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    • 1993
  • For the purpose of applying to a high-speed control system, such as engine control for automobile application, we propose an architecture of a fuzzy inference processor, which can realize high-speed inference, high-resolution, and can be implemented with small chip area. We have designed a single chip based on the architecture, and confirmed the performance, such as 140 kFLIPS with 8-bit resolution.

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Development of Feature-based Classification Software for High Resolution Satellite Imager

  • Jeong, Soo;Kim, Kyung-Ok;Jeong, Sang-Yong
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1111-1113
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    • 2003
  • In this paper, we investigated a method for feature - based classification to develop software which is suitable to the classification of high resolution satellite imagery . So, we developed related algorithm and designed user interfaces of convenience, considering various elements require for the feature - based classification. The software was tested with eCognition software which is unique commercial software for feature - based classification.

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MEDICAL IMAGE ANALYSIS USING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING OF SIXTH ORDER TENSOR

  • K.S. DEEPAK;S.T. AVEESH
    • Journal of applied mathematics & informatics
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    • v.41 no.3
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    • pp.603-613
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    • 2023
  • In this paper, the concept of geodesic centered tractography is explored for diffusion tensor imaging (DTI). In DTI, where geodesics has been tracked and the inverse of the fourth-order diffusion tensor is inured to determine the diversity. Specifically, we investigated geodesic tractography technique for High Angular Resolution Diffusion Imaging (HARDI). Riemannian geometry can be extended to a direction-dependent metric using Finsler geometry. Euler Lagrange geodesic calculations have been derived by Finsler geometry, which is expressed as HARDI in sixth order tensor.

Study on the Reconstruction of Pressure Field in Sloshing Simulation Using Super-Resolution Convolutional Neural Network (심층학습 기반 초해상화 기법을 이용한 슬로싱 압력장 복원에 관한 연구)

  • Kim, Hyo Ju;Yang, Donghun;Park, Jung Yoon;Hwang, Myunggwon;Lee, Sang Bong
    • Journal of the Society of Naval Architects of Korea
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    • v.59 no.2
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    • pp.72-79
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    • 2022
  • Deep-learning-based Super-Resolution (SR) methods were evaluated to reconstruct pressure fields with a high resolution from low-resolution images taken from a coarse grid simulation. In addition to a canonical SRCNN(super-resolution convolutional neural network) model, two modified models from SRCNN, adding an activation function (ReLU or Sigmoid function) to the output layer, were considered in the present study. High resolution images obtained by three models were more vivid and reliable qualitatively, compared with a conventional super-resolution method of bicubic interpolation. A quantitative comparison of statistical similarity showed that SRCNN model with Sigmoid function achieved best performance with less dependency on original resolution of input images.