• Title/Summary/Keyword: model reduction method

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Application of CFD to Design Procedure of Ammonia Injection System in DeNOx Facilities in a Coal-Fired Power Plant (석탄화력 발전소 탈질설비의 암모니아 분사시스템 설계를 위한 CFD 기법 적용에 관한 연구)

  • Kim, Min-Kyu;Kim, Byeong-Seok;Chung, Hee-Taeg
    • Clean Technology
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    • v.27 no.1
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    • pp.61-68
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    • 2021
  • Selective catalytic reduction (SCR) is widely used as a method of removing nitrogen oxide in large-capacity thermal power generation systems. Uniform mixing of the injected ammonia and the inlet flue gas is very important to the performance of the denitrification reduction process in the catalyst bed. In the present study, a computational analysis technique was applied to the ammonia injection system design process of a denitrification facility. The applied model is the denitrification facility of an 800 MW class coal-fired power plant currently in operation. The flow field to be solved ranges from the inlet of the ammonia injection system to the end of the catalyst bed. The flow was analyzed in the two-dimensional domain assuming incompressible. The steady-state turbulent flow was solved with the commercial software named ANSYS-Fluent. The nozzle arrangement gap and injection flow rate in the ammonia injection system were chosen as the design parameters. A total of four (4) cases were simulated and compared. The root mean square of the NH3/NO molar ratio at the inlet of the catalyst layer was chosen as the optimization parameter and the design of the experiment was used as the base of the optimization algorithm. The case where the nozzle pitch and flow rate were adjusted at the same time was the best in terms of flow uniformity.

Efficacy Verification of Four Hangover Cure Products for Reducing Blood Alcohol and Acetaldehyde Concentrations in Sprague - Dawley Rats (국내 시판 숙취해소제 4종의 혈중 알코올 및 아세탈데히드 농도 감소 효능 비교)

  • Han, Min Ji;Jin, Yu Jung;Choung, Se-Young
    • Journal of Life Science
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    • v.32 no.2
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    • pp.79-85
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    • 2022
  • Recently, many hangover cure products containing natural ingredients have been made available in the market that are effective for alcohol-related liver damage or for improved liver function. However, the cure for of liver damage or medication for improved liver function are different from hangover cure. Therefore, the efficacy hangover cure products needs to be verified. In this study, we investigated and compared the ameliorating effect of four commercially available hangover cure products on acute ethanol-induced hangover in Sprague - Dawley rats. The four samples were labeled as C, M, R, and S. The efficacy of the samples was evaluated based on the serum concentration and area under the curve (AUC) of blood ethanol and acetaldehyde concentrations to quantitatively assess the hangover cure effect. Ethanol administration to the rats significantly raised the serum alcohol and acetaldehyde levels. The Cmax reduction rates of ethanol for the samples C, M, R, and S were 5.9%, 3.1%, 8.4%, and 11.7%, and the AUC were 8.9%, 2.2%, 12.1%, and 19.6%, respectively, whereas the Cmax reduction rates of acetaldehyde were 14.2%, 15.2%, 28.2%, and 35.0%, and the AUC were 21.6%, 7.5%, 22.4%, and 29.9%, respectively. In conclusion, all samples showed a tendency to relieve hangover in the order of S, R, C, and M in terms of the ethanol concentration, but only sample S showed a statistically significant decrease in both Cmax and AUC for ethanol and acetaldehyde. These results suggest that an objective method for verifying the efficacy of hangover cure products is lacking.

A study on the underwater radiated noise reduction method based on air injection technology with Air Lubrication System (공기윤활장치를 접목한 공기분사 기술 기반의 수중방사소음 저감 기법 연구)

  • Jaehyuk Lee;Hongju Gu;Jaekwon Jung;Heeyeol Jung;Manhwan Kim;Junghae Kim;Euijin Jeon;Seungmin Kwon
    • The Journal of the Acoustical Society of Korea
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    • v.43 no.5
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    • pp.484-493
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    • 2024
  • This paper discusses the process and results of experimental research aimed at reducing Underwater Radiated Noise (URN) using air injection technology. Air Lubrication System (ALS) is an air injection technology mainly installed and operated to improve the propulsion efficiency of large commercial ship, such as LNGC. Recently, research institutes have been studying the potential of reducing URN using ALS. This paper performs an experiment as part of such research. The experiment was conducted in the Large Cavitation Tunnel (LCT), and the major devices applied in the experiment fall into two categories: ALS, which is directly applied to the model in use for LNGC and a modified air injection belt developed from the Masker-Air System (MAS), which is being developed to reduce URN of naval ships. The environmental conditions for the experiment mainly include the air injection flow rate and flow speed in the LCT. The flow rate was set to the actual air injection conditions of ALS, and the flow speed was adjusted to two different levels, considering the actual speeds of LNGC. The noise reduction performance was confirmed by calculating insertion loss with and without air injection.

A study on the classification of research topics based on COVID-19 academic research using Topic modeling (토픽모델링을 활용한 COVID-19 학술 연구 기반 연구 주제 분류에 관한 연구)

  • Yoo, So-yeon;Lim, Gyoo-gun
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.155-174
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    • 2022
  • From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (

    ) were the topic modeling results for each research topic (
    ) was found to be derived from For example, as a result of topic modeling for papers related to 'vaccine', a new topic titled Topic 05 'neutralizing antibodies' was extracted. A neutralizing antibody is an antibody that protects cells from infection when a virus enters the body, and is said to play an important role in the production of therapeutic agents and vaccine development. In addition, as a result of extracting topics from papers related to 'treatment', a new topic called Topic 05 'cytokine' was discovered. A cytokine storm is when the immune cells of our body do not defend against attacks, but attack normal cells. Hidden topics that could not be found for the entire thesis were classified according to keywords, and topic modeling was performed to find detailed topics. In this study, we proposed a method of extracting topics from a large amount of literature using the LDA algorithm and extracting similar words using the Skip-gram method that predicts the similar words as the central word among the Word2vec models. The combination of the LDA model and the Word2vec model tried to show better performance by identifying the relationship between the document and the LDA subject and the relationship between the Word2vec document. In addition, as a clustering method through PCA dimension reduction, a method for intuitively classifying documents by using the t-SNE technique to classify documents with similar themes and forming groups into a structured organization of documents was presented. In a situation where the efforts of many researchers to overcome COVID-19 cannot keep up with the rapid publication of academic papers related to COVID-19, it will reduce the precious time and effort of healthcare professionals and policy makers, and rapidly gain new insights. We hope to help you get It is also expected to be used as basic data for researchers to explore new research directions.

  • Energy dissipation system for earthquake protection of cable-stayed bridge towers

    • Abdel Raheem, Shehata E.;Hayashikawa, Toshiro
      • Earthquakes and Structures
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      • v.5 no.6
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      • pp.657-678
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      • 2013
    • For economical earthquake resistant design of cable-stayed bridge tower, the use of energy dissipation systems for the earthquake protection of steel structures represents an alternative seismic design method where the tower structure could be constructed to dissipate a large amount of earthquake input energy through inelastic deformations in certain positions, which could be easily retrofitted after damage. The design of energy dissipation systems for bridges could be achieved as the result of two conflicting requirements: no damage under serviceability limit state load condition and maximum dissipation under ultimate limit state load condition. A new concept for cable-stayed bridge tower seismic design that incorporates sacrificial link scheme of low yield point steel horizontal beam is introduced to enable the tower frame structure to remain elastic under large seismic excitation. A nonlinear dynamic analysis for the tower model with the proposed energy dissipation systems is carried out and compared to the response obtained for the tower with its original configuration. The improvement in seismic performance of the tower with supplemental passive energy dissipation system has been measured in terms of the reduction achieved in different response quantities. Obtained results show that the proposed energy dissipation system of low yield point steel seismic link could strongly enhance the seismic performance of the tower structure where the tower and the overall bridge demands are significantly reduced. Low yield point steel seismic link effectively reduces the damage of main structural members under earthquake loading as seismic link yield level decreases due their exceptional behavior as well as its ability to undergo early plastic deformations achieving the concentration of inelastic deformation at tower horizontal beam.

    Position Control of Mobile Robot for Human-Following in Intelligent Space with Distributed Sensors

    • Jin Tae-Seok;Lee Jang-Myung;Hashimoto Hideki
      • International Journal of Control, Automation, and Systems
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      • v.4 no.2
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      • pp.204-216
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      • 2006
    • Latest advances in hardware technology and state of the art of mobile robot and artificial intelligence research can be employed to develop autonomous and distributed monitoring systems. And mobile service robot requires the perception of its present position to coexist with humans and support humans effectively in populated environments. To realize these abilities, robot needs to keep track of relevant changes in the environment. This paper proposes a localization of mobile robot using the images by distributed intelligent networked devices (DINDs) in intelligent space (ISpace) is used in order to achieve these goals. This scheme combines data from the observed position using dead-reckoning sensors and the estimated position using images of moving object, such as those of a walking human, used to determine the moving location of a mobile robot. The moving object is assumed to be a point-object and projected onto an image plane to form a geometrical constraint equation that provides position data of the object based on the kinematics of the intelligent space. Using the a priori known path of a moving object and a perspective camera model, the geometric constraint equations that represent the relation between image frame coordinates of a moving object and the estimated position of the robot are derived. The proposed method utilizes the error between the observed and estimated image coordinates to localize the mobile robot, and the Kalman filtering scheme is used to estimate the location of moving robot. The proposed approach is applied for a mobile robot in ISpace to show the reduction of uncertainty in the determining of the location of the mobile robot. Its performance is verified by computer simulation and experiment.

    Numerical study on the optimal position of a pile for stabilization purpose of a slope

    • Boulfoul, Khalifa;Hammoud, Farid;Abbeche, Khelifa
      • Geomechanics and Engineering
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      • v.21 no.5
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      • pp.401-411
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      • 2020
    • The paper describes the influence of pile reinforcement on the stability of the slope behaviour, and the exploitation of the results of in situ measurements will be conducted. In the second part, a 2D numerical modelling will be conducted by using the finite element code PLAXIS2D; in order to validate the proposed modelling approach by comparing the numerical results with the measurements results carried out on the slides studied; to study the effect of positioning of piles as a function of the shear parameters of the supported soil on the behaviour of the soil. For various shear strength of the soil a row of pile position is found, at which the piles offer the maximum contribution to slope stability. The position of piles is found to influence the safety factor in granular soil whereas it shows a slight influence on the safety factor in coherent soil. The results also indicate that the ideal position for such stabilizing piles is in the middle height of the slope. Comparison of results of present study with literature from publication: indicated that to reach the maximum stability of slope, the pile must be installed with Lx/L ratio (0.37 to 0.62) and the inclination must be between 30° to 60°. Even, after a certain length of the pile, the increasing will be useless. The application of the present approach to such a problem is located at the section of PK 210+480 to 210+800 of the Algerian East-West Highway.

    Feedback control strategies for active control of noise inside a 3-D vibro-acoustic cavity

    • Bagha, Ashok K.;Modak, Subodh V.
      • Smart Structures and Systems
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      • v.20 no.3
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      • pp.273-283
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      • 2017
    • This paper presents and compares three feedback control strategies for active control of noise inside a 3-D vibro-acoustic cavity. These are a) control strategy based on direct output feedback (DOFB) b) control strategy based on linear quadratic regulator (LQR) to reduce structural vibrations and c) LQR control strategy with a weighting scheme based on structural-acoustic coupling coefficients. The first two strategies are indirect control strategies in which noise reduction is achieved through active vibration control (AVC), termed as AVC-DOFB and AVC-LQR respectively. The third direct strategy is based on active structural-acoustic control (ASAC). This strategy is an LQR based optimal control strategy in which the coupling between the various structural and the acoustic modes is used to design the controller. The strategy is termed as ASAC-LQR. A numerical model of a 3-D rectangular box cavity with a flexible plate (glued with piezoelectric patches) and with other five surfaces treated rigid is developed using finite element (FE) method. A single pair of collocated piezoelectric patches is used for sensing the vibrations and applying control forces on the structure. A comparison of frequency response function (FRF) of structural nodal acceleration, acoustic nodal pressure, and piezoelectric actuation voltage is carried out. It is found that the AVC-DOFB control strategy gives equal importance to all the modes. The AVC-LQR control strategy tries to consume the control effort to damp all the structural modes. It is seen that the ASAC-LQR control strategy utilizes the control effort more intelligently by adding higher damping to those structural modes that matter more for reducing the interior noise.

    A Study on the Factor of Safety for Rock Slopes Based on Three Dimensional Effects (3차원 효과를 고려한 암반사면의 안전율 변화에 관한 연구)

    • Seo, Og-Geon;Lee, Seung-Ho
      • Journal of the Korean Geotechnical Society
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      • v.31 no.1
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      • pp.47-52
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      • 2015
    • In the slope stability analysis and design, Limit Equilibrium Method (LEM) and Shear Strength Reduction technique (SSR) are mainly used. Both methods are able to perform two and three dimensional analysis. SSR is considered to be more sensitive and more reasonable than LEM by many researchers. However, in practice LEM is still widely used because of the increase of analysis time and complexity of the model in SSR. In this study, three dimensional analysis of the protruding rock slope is performed by SSR in order to study the effects of protruding length using rock slope FLAC 3D. In this study, as results of analysis variations of the safety factor have been studied according to slope angle, slope height, the soil strength, protruding slope length projected variables. The results show that the factor of safety as more affected by the shapes of the protruding rock slope than the rock strength.

    Modal and Stress Analysis of Spur Gear in DC Motor Gearhead using Finite Element Model

    • Pratama, Pandu Sandi;Supeno, Destiani;Jeong, Seongwon;Park, Cunsook;Woo, Jihee;Lee, Eunsook;Yoon, Woojin;Choi, Wonsik
      • Proceedings of the Korean Society for Agricultural Machinery Conference
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      • 2017.04a
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      • pp.17-17
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      • 2017
    • In electric agricultural machine the gearhead is needed to convert the high speed low torque rotation motion generated by DC motor to lower speed high torque motion used by the vehicle. The gearhead consist of several spur gears works as reduction gears. Spur gear have straight tooth and are parallel to the axis of the wheel. Spur gears are the most easily visualized gears that transmit motion between two parallel shafts and easy to produce. The modeling and simulation of spur gears in DC motor gearhead is important to predict the actual motion behavior. A pair of spur gear tooth in action is generally subjected to two types of cyclic stress: contact stress and bending stress including bending fatigue. The stress may not attain their maximum values at the same point of contact fatigue. These types of failure can be minimized by analysis of the problem during the design stage and creating proper tooth surface profile with proper manufacturing methods. To improve its life expectation in this study modal and stress analysis of gearhead is simulated using ansys work bench software based on finite element method (FEM). The modal analysis was done to understand gearhead deformation behaviour when vibration occurs. FEM static stress analysis is also simulated on gearhead to simulate the gear teeth bending stress and contact stress behavior. This methodology serves as an approach for gearhead design evaluation, and the study of gear stress behavior in DC motor gearhead which is needed in the small workshop scale industries.

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