• Title/Summary/Keyword: Science and Technology Predictions

검색결과 335건 처리시간 0.033초

Application of machine learning and deep neural network for wave propagation in lung cancer cell

  • Xing, Lumin;Liu, Wenjian;Li, Xin;Wang, Han;Jiang, Zhiming;Wang, Lingling
    • Advances in nano research
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    • 제13권3호
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    • pp.297-312
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    • 2022
  • Coughing and breath shortness are common symptoms of nano (small) cell lung cancer. Smoking is main factor in causing such cancers. The cancer cells form on the soft tissues of lung. Deformation behavior and wave vibration of lung affected when cancer cells exist. Therefore, in the current work, phase velocity behavior of the small cell lung cancer as a main part of the body via an exact size-dependent theory is presented. Regarding this problem, displacement fields of small cell lung cancer are obtained using first-order shear deformation theory with five parameters. Besides, the size-dependent small cell lung cancer is modeled via nonlocal stress/strain gradient theory (NSGT). An analytical method is applied for solving the governing equations of the small cell lung cancer structure. The novelty of the current study is the consideration of the five-parameter of displacement for curved panel, and porosity as well as NSGT are employed and solved using the analytical method. For more verification, the outcomes of this reports are compared with the predictions of deep neural network (DNN) with adaptive optimization method. A thorough parametric investigation is conducted on the effect of NSGT parameters, porosity and geometry on the phase velocity behavior of the small cell lung cancer structure.

Investigation of Boiling Heat Transfer Characteristics of Two-Phase Closed Thermosyphons with Various Internal Grooves

  • Han, Ku-Il;Cho, Dong-Hyun;Park, Jong-Un
    • Journal of Mechanical Science and Technology
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    • 제17권11호
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    • pp.1739-1745
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    • 2003
  • The boiling heat transfer characteristics of two-phase closed thermosyphons with internal grooves are studied experimentally and a simple mathematical model is developed to predict the performance of such thermosyphons. The study focuses on the boiling heat transfer characteristics of a two-phase closed thermosyphons with copper tubes having 50, 60, 70, 80, 90 internal grooves. A two-phase closed thermosyphon with plain copper tube having the same inner and outer diameter as those of grooved tube is also tested for comparison. Methanol is used as working fluid. The effects of the number of grooves, the operating temperature, the heat flux are investigated experimentally. From these experimental results, a simple mathematical model is developed. In the present model, boiling of liquid pool in the evaporator is considered for the heat transfer mechanism of the thermosyphon. And also the effects of the number of grooves, the operating temperature, the heat flux are brought into consideration. A good agreement between the boiling heat transfer coefficient of the thermosyphon estimated from experimental results and the predictions from the present mathematical model is obtained. The experimental results show that the number of grooves and the amount of the working fluid are very important factors for the operation of thermosyphons. The two-phase closed thermosyphon with copper tubes having 60 internal grooves shows the best boiling heat transfer performance.

Protein Tertiary Structure Prediction Method based on Fragment Assembly

  • Lee, Julian;Kim, Seung-Yeon;Joo, Kee-Hyoung;Kim, Il-Soo;Lee, Joo-Young
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2004년도 The 3rd Annual Conference for The Korean Society for Bioinformatics Association of Asian Societies for Bioinformatics 2004 Symposium
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    • pp.250-261
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    • 2004
  • A novel method for ab initio prediction of protein tertiary structures, PROFESY (PROFile Enumerating SYstem), is introduced. This method utilizes secondary structure prediction information and fragment assembly. The secondary structure prediction of proteins is performed with the PREDICT method which uses PSI-BLAST to generate profiles and a distance measure in the pattern space. In order to predict the tertiary structure of a protein sequence, we assemble fragments in the fragment library constructed as a byproduct of PREDICT. The tertiary structure is obtained by minimizing the potential energy using the conformational space annealing method which enables one to sample diverse low lying minima of the energy function. We apply PROFESY for prediction of some proteins with known structures, which shows good performances. We also participated in CASP5 and applied PROFESY to new fold targets for blind predictions. The results were quite promising, despite the fact that PROFESY was in its early stage of development. In particular, the PROFESY result is the best for the hardest target T0161.

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Modelling of Low Velocity Impact Damage In Laminated Composites

  • Lee Jounghwan;Kong Changduk;Soutis Costas
    • Journal of Mechanical Science and Technology
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    • 제19권4호
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    • pp.947-957
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    • 2005
  • In this study a simple model is developed that predicts impact damage in a composite laminate avoiding the need of the time-consuming dynamic finite element method (FEM). The analytical model uses a non-linear approximation method (Rayleigh-Ritz) and the large deflection plate theory to predict the number of failed plies and damage area in a quasi-isotropic composite circular plate (axisymmetric problem) due to a point impact load at its centre. It is assumed that the deformation due to a static transverse load is similar to that oc curred in a low velocity impact. It is found that the model, despite its simplicity, is in good agreement with FEM predictions and experimental data for the deflection of the composite plate and gives a good estimate of the number of failed plies due to fibre breakage. The predicted damage zone could be used with a fracture mechanics model developed by the second investigator and co-workers to calculate the compression after impact strength of such laminates. This approach could save significant running time when compared to FEM solutions.

State-selective Dissociation of Water Molecules on MgO Films Using LT-STM

  • Shin, Hyung-Joon;Jung, J.;Motobayashi, K.;Kim, Y.;Kawai, M.
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2011년도 제41회 하계 정기 학술대회 초록집
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    • pp.112-112
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    • 2011
  • The interaction of water molecules with solid surfaces has been a subject of considerable interests, due to its importance in the fields from atmospheric and environmental phenomena to biology, catalysis and electrochemistry [1,2]. Among various kinds of surfaces, a lot of theoretical and experimental studies have been performed regarding water on MgO(100), however, to date, there has been no direct observation of water molecules on MgO by scanning tunneling microscope (STM) as compared with those on metal surface. Here, we will present the direct observation and manipulation of single water molecules on ultrathin MgO(100) films using low-temperature scanning tunneling microscope (LT-STM) [3]. Our results rationalize the previous theoretical predictions of isolated water molecules on MgO including the optimum adsorption sites and non-dissociative adsorption of water. Moreover, we were able to dissociate a water molecule by exciting the vibrational mode of water, which is unattainable on metal surfaces. The enhanced residual time of tunneling electrons in molecules on the insulating film is responsible for this unique pathway toward dissociation of water.

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Investigation of Molten Fuel Relocation Dynamics with Applications to LMFBR Post-Accident Fuel Relocation

  • Chun, Moon-Hyun
    • Nuclear Engineering and Technology
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    • 제12권2호
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    • pp.88-98
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    • 1980
  • 원통형 관속을 흐르는 뜨거운 단상 유체의 응고 과정을 해석적인 방법과 실험적인 방법으로 연구 하였다. 파라핀초와 Wood's Metal을 뜨거운 유체로 사용하여 일련의 실험을 하였다. 이 실험 데이터로 부룩해븐 연구소에서 개발한 응고과정에 대한 기존 준정적 수리해석 모델을 증명하였다. 또한 이 실험결과, 수직관속을 순간적으로 흐르며 응고하는 과정에 미치는 여러가지 매개변수의 영향에 관한 자료를 얻게 되었다. 이 실험에 사용한 기구와 실험 방법 도 아울러 기술하였다. 녹은 유체의 순간적으로 흘러내리는 양에 대한 수학적 모델의 예측 결과를 실험데이터와 비교하기 위해 도표로 제시하였다. 또한, 수학적 모델을 고속증식로(LMFBR)에 사고가 일어 났을 경우에 응용하여 보았다.

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치환 2-Phenylethyl arenesulfonate 류와 치환 피리딘류의 Menschutkin 형 반응에 관한 치환기 효과 (Substituent Effects for the Menschutkin-Type Reaction of Substituted 2-Phenylethyl arenesulfonates with Substituted Pyridines)

  • 여수동;김중협
    • 대한화학회지
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    • 제33권4호
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    • pp.413-418
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    • 1989
  • 치환 2-phenylethyl tosylate와 치환 피리딘을 아세토니트릴에서, 2-phenylethyl m-nitrobenzenesulfonate(2-PNS)와 치환 피리딘을 아세토니트릴과 메탄올 용매 중에서 각각 반응시켰다. 기질과 친핵체 다같이 전자를 미는 치환기는 반응속도를 증가시켰다. 이들 결과는 전이상태 변화를 예측하는 More O'Ferral과 양자역학적인 모델에서 결합 파괴가 결합형성보다 더 진전된 $S_N2$ 메카니즘으로 진행함을 보였다. 전이상태 변화는 양자 역학적인 모델의 예측이 실험치와 잘 일치하였고 이탈기에서는 More O'Ferral 도시가 잘 맞지 않았다. 2-PNS 와 피리딘류와의 반응에서는 아세토니트릴이 메탄올용매보다 반응이 빨랐다.

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Time domain broadband noise predictions for non-cavitating marine propellers with wall pressure spectrum models

  • Choi, Woen-Sug;Hong, Suk-Yoon;Song, Jee-Hun;Kwon, Hyun-Wung;Park, Il-Ryong;Seol, Han-Shin;Kim, Min-Jae
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제13권1호
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    • pp.75-85
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    • 2021
  • The broadband noise can be dominant or important for total characteristics for marine propeller noise representing the minimum base of self-noise. Accurate prediction of such noise is crucial for survivability of underwater military vessels. While the FW-H Formulation 1B can be used to predict broadband trailing edge noise, the method required experiment measurements of surface pressure correlations, showing its limitations in generality. Therefore, in this study, the methods are developed to utilize wall pressure spectrum models to overcome those limitations. Chase model is adopted to represent surface pressure along with the developed formulations to reproduce pressure statistics. Newly developed method is validated with the experiments of airfoils at different velocities. Thereafter, with its feasibility and generality, the procedure incorporating computational fluid dynamics is established and performed for a propeller behind submarine hull. The results are compared with the experiments conducted at Large Cavitation Tunnel, thus showing its usability and robustness.

Soot 입자를 고려한 로켓 플룸의 적외선 스펙트럼 예측 (A Prediction of Infrared Spectrum of Rocket Plume with Considering Soot Particles)

  • 조성민;남현재;김덕현;권오준
    • 한국추진공학회지
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    • 제19권4호
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    • pp.24-36
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    • 2015
  • 본 연구에서는 복사 데이터베이스 기반의 LBL 모델과 근사 이론에 기초한 입자의 영향이 고려된 로켓 플룸의 적외선 스펙트럼 예측을 수행하였다. 로켓 플룸 내에 존재하는 가스 분자의 스펙트럼을 예측하기 위하여 고해상도 복사 데이터베이스를 이용하였다. 로켓 플룸 내에 존재하는 입자는 수트 입자로 모델링 하였으며 미 이론의 1항 근사 및 레일리 근사를 적용하였다. 두 이론의 적용에 대한 타당성을 검증하였으며, 이를 바탕으로 로켓 플룸의 적외선 스펙트럼을 예측하였다. 수트 입자의 영향을 고려함으로써 짧은 파장 영역 대에서 향상된 로켓 플룸의 스펙트럼 예측 결과가 도출되었다.

이상치 탐지 방법론을 활용한 반도체 가상 계측 결과의 신뢰도 추정 (Estimating the Reliability of Virtual Metrology Predictions in Semiconductor Manufacturing : A Novelty Detection-based Approach)

  • 강필성;김동일;이승경;도승용;조성준
    • 대한산업공학회지
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    • 제38권1호
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    • pp.46-56
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    • 2012
  • The purpose of virtual metrology (VM) in semiconductor manufacturing is to predict every wafer's metrological values based on its process equipment data without an actual metrology. In this paper, we propose novelty detection-based reliability estimation models for VM in order to support flexible utilization of VM results. Because the proposed model can not only estimate the reliability of VM, but also identify suspicious process variables lowering the reliability, quality control actions can be taken selectively based on the reliance level and its causes. Based on the preliminary experimental results with actual semiconductor manufacturing process data, our models can successfully give a high reliance level to the wafers with small prediction errors and a low reliance level to the wafers with large prediction errors. In addition, our proposed model can give more detailed information by identifying the critical process variables and their relative impacts on the low reliability.