• Title/Summary/Keyword: blender

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STUDIES ON THE METHOD OF MEASUREMENT OF FRAGILITY OF KOREA TOBACCO (한국산 잎담배의 부스러짐 특성 측정방법에 관하여)

  • 김기환;주영석;최영현;유광근
    • Journal of the Korean Society of Tobacco Science
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    • v.10 no.1
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    • pp.65-73
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    • 1988
  • The fragilities of the tobacco has been considered to be one of the most Important factor in determing not only the quality of the tobacco but also the economic effect to cigarettes manufacturing. The three blender methods to determine relative fragilities were compared with the Korea Tabacco & Ginseng Research Institute Standared Fragilities Test in order to established a suitable method for measuring the fragilities of Korea tobacco leaves. Fragilities measurement by the blender methods expressed either sieve aperture or fineness index and a statistical comparison of the three blender methods was made to short the mirror variance, standard deviation, coefficient of variation, slope, correlation, sensitivity index, etc.

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A Comparison between Various CFD Solvers for Analysis on Thermal Load in Smart Farm(Fluent, Open-FOAM, Blender) (스마트팜 열부하 분석을 위한 CFD 해석 도구 비교)

  • Lee, Jun-Yeob;Oh, Jong-woo;Lee, DongHoon
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.170-170
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    • 2017
  • 기후변화 따른 스마트팜 돈사 외부 환경의 변화에 대응하고, 사육 환경을 능동적으로 개선하기 위한 연구가 수행 중이다. 돈사 내 열전달 요소 간 상호 역학성 분석을 위해서 고려해야할 사항은 입기구, 보온 등, 열풍기, 단열제, 위치, 방향, 돈사의 연평균 온도, 습도, 연중 일사량, 가축의 열복사 등 상호 복잡하게 연관되어 있는 물리량이다. 돈사 전체 열손실, 자연발생 에너지량, 강제발생 에너지량, 난방용량 등을 고려한 순간 열부하 산정을 위한 여러 방법 중 우선적으로 CFD(Computational Fluid Dynamics)를 이용하였다. 순간 열부하 산정을 위한 해석 도구 선정에 있어서 다양한 유체 및 기체 전산 유체역학 Solver(Fluent, Open-FOAM, Blender)를 고려하였다. 공간 Mech를 수행하기 위한 도구로는 공개 소프트웨어 인 FreeFem++ 3.51-4 (http://www.freefem.org)를 이용하였다. 이 과정에서 일부 기체 (암모니아)의 농도를 난수로 변화시키는 기법을 적용하여 가상적으로 돈사의 환경을 Pseudo 시뮬레이션 하였다. 결과적으로 Fluent에 비하여 OpenFOAM을 이용하여 얻은 열유동의 방향(속도)과 크기 백터가 상대적으로 크게 나타났다. Fluent가 시계열 상에서 혼합 기체 물리량 변화를 무시할 수 있는 안정되고 균일한 환경에 적합하기 때문인 것으로 판단되었다. Blender의 경우 Lattice Boltzmann methods 과 Smoothed-particle hydrodynamics 방법을 이용한 유체/입자 동력학 모델링을 제공함에 있어 시각적 효과를 강조하는 기능에 중점을 두었다. Fluent와 Blender에서 제공하는 해석 연산 모듈의 정확성 검증을 위해선 공간 분해능을 높인 정밀 계측 시스템을 이용하여 검증할 필요가 있다. Open-FOAM를 이용한 열부하 분석 수행이 상대적으로 높은 절대값을 보이는 특성은 열부하 제어 시스템의 Overshoot를 유발할 가능성이 있으므로 이에 대한 해석 모델의 보정이 추가적으로 필요할 것이다. CFD의 한계인 시간 복잡도를 낮추고 상대적으로 높은 시계열 분해능을 확보할 경우 돈사 내 환기시스템에 맞는 소요 환기량 실시간 산정이 가능해지고 외부기상 및 돈사내부 복사열을 활용함과 동시에 돈군 순환에 상응하는 실시간 열부하 관리 시스템 도출이 가능할 것이다.

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Arduino Learning Content using Blender and Unity Engine (블렌더와 유니티 엔진을 이용한 아두이노 학습 콘텐츠 설계)

  • Lee, Min-Hye;Park, Hyuk-Gyu;Won, Dong-Hyun;Kang, Sun-kyung;Shin, Sung-yoon;Kang, Yun-Jeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.386-388
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    • 2022
  • Recently, realistic contents using virtual reality and augmented reality are attracting attention as learning aids. 3D-based contents have the advantage of being able to observe and experience objects from various angles than 2D-based contents shown on a flat surface. In this paper, we propose a content design based on 3D model for Arduino learning in a virtual environment. The Arduino board and sensor were implemented using Blender, and a 3D-based simulator environment was constructed using the Unity engine. The proposed content uses the Arduino board and sensor implemented in 3D so that learners can easily experience the working principle of Arduino and the coding process.

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Design and Characteristics Analysis of a Novel Single-phase Hybrid SRM for Blender Application

  • Jeong, Kwang-Il;Ahn, Jin-Woo
    • Journal of Electrical Engineering and Technology
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    • v.13 no.5
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    • pp.1996-2003
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    • 2018
  • In this paper, the design and characteristic analysis of a novel single-phase hybrid switched reluctance motor (HSRM) for the purpose of replacing the universal motor in commercial blenders are presented. The proposed motor is easy to manufacture due to its simple yet robust structure with minimized power switches and no torque dead-zone. Moreover, the proposed HSRM is able to deliver a high starting torque as a requirement for blending hard food or even ice. The stator has permanent magnets (PMs) mounted on its inner surface and the rotor has a wide pole arc and salient poles that contribute to its high starting torque profile and the elimination of the torque dead-zone. Finite element method (FEM) is used to analyze the characteristic of the proposed motor. Finally, the prototype is manufactured and its performance is verified through experiments.

Development of New Powdered Additive and Its Application for Improving the Paperboard Bulk and Reducing Drying Energy (I) -Analysis of Chemical and Physical Properties of Brewers Grain - (산업용지의 벌크 향상 및 건조에너지 절감을 위한 분말상 첨가제 제조기술 개발 (I) - 신규 유기물질 맥주박의 화학적.물리적 특성 평가 -)

  • Lee, Ji-Young;Kim, Chul-Hwan;Choi, Jae-Sung;Kim, Byeong-Ho;Lim, Gi-Baek;Kim, Da-Mi
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.44 no.2
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    • pp.58-66
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    • 2012
  • Brewers grain is a byproduct of beer brewing and consists primarily of grain husks, pericarp, and fragments of endosperm. Although this material is consumed by animals and used as fertilizer, a large amount of brewers grain is simply discarded. Therefore, new methods for utilizing this fibrous resource should be pursued. In this study, we examined the potential utilization of brewers grain as an additive in the paperboard industry by determining the chemical composition of brewers grain and the physical properties of brewers grain powders after grinding with two types of grinders. We found that brewers grain had a lower holocellulose content and higher lignin content and intermediate ash content when compared to other biomass materials, and did not contain any contaminants that would interfere with the papermaking process. Particles had a higher fiber length, less fiber width, and narrower shape factor distribution when ground by a blender type grinder than by a pin crusher type grinder. The blender type grinder was concluded to make regular brewers grain particles appropriate for papermaking.

A Study on Substrate Pre-treatment for Mathane Production Performance (메탄생성 효율증진을 위한 소화원료 전처리 연구)

  • Jeong, K.H.;Ryu, S.H.;NamGung, K.C.;Kim, J.H.;Kwag, J.H.;Ann, H.K.;Yoo, Y.H.
    • Journal of Animal Environmental Science
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    • v.17 no.3
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    • pp.197-204
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    • 2011
  • During the process of anaerobic digestion, hydrolysis of substrate is the key factor determining methane production efficiency. The hydrolysis efficiency are directly affected by biodegradability of substrate. In this study, three types of pre-treatment methods were tested to enhance biodegradability effectiveness. By the application of blender and the Cavitation treatment, the SCODcr increased from 24,723 mg/l to 24.726~29,175 mg/l and to 25,589~26,456 mg/l, respectively. In case of ozone treatment, the SCODcr decreased from 24,723 mg/l to 22.540~23,988 mg/l. In batch experiment, there was a little improvement of the biochemical methane potential (BMP) by the blender and the cavitation treatment. In contrast, the BMP somewhat decreased by ozone treatment. This result shows that higher anaerobic digestion efficiency of livestock manure could be obtained through pre-treatment of substrate.

Automatic Pedestrian Removal Algorithm Using Multiple Frames (다중 프레임에서의 보행자 검출 및 삭제 알고리즘)

  • Kim, ChangSeong;Lee, DongSuk;Park, Dong Sun
    • Smart Media Journal
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    • v.4 no.2
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    • pp.26-33
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    • 2015
  • In this paper, we propose an efficient automatic pedestrian removal system from a frame in a video sequence. It firstly finds pedestrians from the frame using a Histogram of Oriented Gradient(HOG) / Linear-Support Vector Machine(L-SVM) classifier, searches for proper background patches, and then the patches are used to replace the deleted pedestrians. Background patches are retrieved from the reference video sequence and a modified feather blender algorithm is applied to make boundaries of replaced blocks look naturally. The proposed system, is designed to automatically detect object and generate natural-looking patches, while most existing systems provide search operation in manual. In the experiment, the average PSNR of the replaced blocks is 19.246

Empirical study on BlenderBot 2.0's errors analysis in terms of model, data and dialogue (모델, 데이터, 대화 관점에서의 BlendorBot 2.0 오류 분석 연구)

  • Lee, Jungseob;Son, Suhyune;Shim, Midan;Kim, Yujin;Park, Chanjun;So, Aram;Park, Jeongbae;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.12 no.12
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    • pp.93-106
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    • 2021
  • Blenderbot 2.0 is a dialogue model representing open domain chatbots by reflecting real-time information and remembering user information for a long time through an internet search module and multi-session. Nevertheless, the model still has many improvements. Therefore, this paper analyzes the limitations and errors of BlenderBot 2.0 from three perspectives: model, data, and dialogue. From the data point of view, we point out errors that the guidelines provided to workers during the crowdsourcing process were not clear, and the process of refining hate speech in the collected data and verifying the accuracy of internet-based information was lacking. Finally, from the viewpoint of dialogue, nine types of problems found during conversation and their causes are thoroughly analyzed. Furthermore, practical improvement methods are proposed for each point of view, and we discuss several potential future research directions.