• 제목/요약/키워드: Guide Block

검색결과 92건 처리시간 0.034초

Effects of different split application and adapted fertilization cultivation for established GAP guide book in acorus graminens S.

  • Kim, Myeong Seok;An, Ho Sub;Kim, Gil Ja;Kim, Yong Soon;Choi, Jin Gyung;Park, Heung Gyu;Kim, Hyun Woo;Kim, Seong Il;Kim, Young Guk;Park, Chun Geun;Chang, Jae Gi
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.225-225
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    • 2017
  • This study is to investigate the effect of split application and adapted fertilization application cultivation in stable medicinal herbs production of Acorus graminens S. And it accomplished one's purpose to GAP guide manual established standard method of cultivation technology, contribute to the enlargement of farm's income. Method of fertilization application were conducted under five condition compose to standard application(N-P-K-Compost: fermented mixed oil cake fertilizer applied at $4-2-6-300kg.10a^{-1}$, twofold application(N-P-K-Compost applied at $8-4-12-600kg.10a^{-1}$) cultivation. Compost (fermented mixed oil cake fertilizer) and fused phosphate applied at 100% of basal fertilizer in April 14. The split application level of standard application and twofold application(N-K) applied at 100%, 50%, 40% of basal fertilizer in April 14, 50% and 40% of top dressing were three times application (N-K) in June 1, July 15, August 15, 25% and 20% respectively. Transplanting with Naju varieties in May 12 by growing pot seedling for 40 days in 2015. Planting density were spaced 30 cm apart in rows 30 cm apart with black vinyl mulching on open cultivation. Plot design randomized block 3 repetition. Therefore, growth characteristics by 50% and 40% of top dressing were three times application (N-K) compared to standard application and twofold application (N-K) applied at 100% basal fertilizer, aerial part as a result were so many such amount of growth as number of leaf per plant, etc., Length of diameter and main root of subterranean part growth increment rising highest. Dried roots yields treated standard fertilizer 100% application($250kg.10a^{-1}$) compared to 100% from twofold application (N-K) applied at 50% basal fertilizer, 50% and 40% of top dressing were three times application increased by 16%, 20%. respectively.

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드론을 활용한 방문객 길 안내 시스템 (Navigation System Using Drone for Visitors)

  • 서예지;진영서;박태정
    • 디지털콘텐츠학회 논문지
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    • 제18권1호
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    • pp.109-114
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    • 2017
  • 드론 기술은 점점 더 고도화되고 있는 카메라 및 센서 등의 감지 능력과 신속한 비행을 기반으로 하는 이동 능력 덕분에 다양한 분야에서 활용되고 있으며 그 기대도 점점 더 높아지고 있다. 본 논문에서는 이러한 응용의 하나로 MIT Senseable City Lab에서 소개한 Skycall과 유사한 프로토타입을 직접 구현하고 실제 상황에서의 장점과 한계를 논의하고자 한다. 이러한 목표를 위해 안드로이드 스마트폰을 기반으로 드론을 기반으로 한 보행자 길 안내 시스템 프로토타입 구현하였다. 제안하는 시스템은 대학 캠퍼스나 공단 지역 같이 여러 건물들이 밀집해 있는 공간 상에서 방문객들의 길 안내는 물론 인증되지 않은 방문객의 시설 접근을 차단하는 보안 기능도 구현한다. 마지막으로 프로토타입 제작 중 발견한 문제점에 대한 논의와 제안을 제시한다.

CMAC (Cerebellar Model Arithmetic Controller)

  • Hwang, Heon;Choi, Dong-Y.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.675-681
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    • 1989
  • As an adaptive control function generator, the CMAC (Cerebellar Model Arithmetic or Articulated Controller) based learning control has drawn a great attention to realize a rather robust real-time manipulator control under the various uncertainties. There remain, however, inherent problems to be solved in the CMAC application to robot motion control or perception of sensory information. To apply the CMAC to the various unmodeled or modeled systems more efficiently, It is necessary to analyze the effects of the CMAC control parameters an the trained net. Although the CMAC control parameters such as size of the quantizing block, learning gain, input offset, and ranges of input variables play a key role in the learning performance and system memory requirement, these have not been fully investigated yet. These parameters should be determined, of course, considering the shape of the desired function to be trained and learning algorithms applied. In this paper, the interrelation of these parameters with learning performance is investigated under the basic learning schemes presented by authors. Since an analytic approach only seems to be very difficult and even impossible for this purpose, various simulations have been performed with prespecified functions and their results were analyzed. A general step following design guide was set up according to the various simulation results.

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Automatic Hand Measurement System from 2D Hand Image for Customized Glove Production

  • Han, Hyun Sook;Park, Chang Kyu
    • 한국의류산업학회지
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    • 제18권4호
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    • pp.468-476
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    • 2016
  • Recent advancements in optics technology enable us to realize fast scans of hands using two-dimensional (2D) image scanners. In this paper, we propose an automatic hand measurement system using 2D image scanners for customized glove production. To develop the automatic hand measurement system, firstly hand scanning devices has been constructed. The devices are designed to block external lights and have user interface to guide hand posture during scanning. After hands are scanned, hand contour is extracted using binary image processing, noise elimination and outline tracing. And then, 19 hand landmarks are automatically detected using an automatic hand landmark detection algorithm based on geometric feature analysis. Then, automatic hand measurement program is executed based on the automatically extracted landmarks and measurement algorithms. The automatic hand measurement algorithms have been developed for 18 hand measurements required for custom-made glove pattern making. The program has been coded using the C++ programming language. We have implemented experiments to demonstrate the validity of the system using 11 subjects (8 males, 3 females) by comparing automatic 2D scan measurements with manual measurements. The result shows that the automatic 2D scan measurements are acceptable in the customized glove making industry. Our evaluation results confirm its effectiveness and robustness.

난소에서 발생한 내배엽동 종양의 복수의 세포학적 소견 - 1례 보고 - (Cytologic Features of Endodermal Sinus Tumor of Ovary in the Ascitic Fluid - Report of a Case -)

  • 정은선;김영신;강창석;심상인
    • 대한세포병리학회지
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    • 제6권2호
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    • pp.204-208
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    • 1995
  • The cytologic findings of endodermal sinus tumor of the ovary are reported. The cytologic preperations were obtained from ascitic specimens. The findings on Papanicolaou-stained smears included a clean background and poorly preserved atypical cells loosely arranged in irregular or papillary groups. At high magnification, the cells had ill-defined and microvacuolated cytoplasms, with an increased nuclear-cytoplasmic ratio and prominent nucleoli. Hyaline globules characteristic of the alpha-fetoprotein (AFP)-synthesizing cells of endodermal sinus tumor were observed within the cells with periodic-acid-Schiff(PAS) stain. The presence of PAS-positive hyaline globules can be regarded, therefore, as a diagnostic clue to endodermal sinus tumor in an appropriate clinical setting and in the presence of AFP production. The cytologic findings in a cell block is important, in addition to smears, to obtain more diagnostic clues. A preliminary cytomorphologic diagnosis of this highly malignant tumor is valuable as a guide in planning further immunocytochemical and serologic studies.

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LEARNING PERFORMANCE AND DESIGN OF AN ADAPTIVE CONTROL FUCTION GENERATOR: CMAC(Cerebellar Model Arithmetic Controller)

  • 최동엽;황현
    • 한국기계연구소 소보
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    • 통권19호
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    • pp.125-139
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    • 1989
  • As an adaptive control function generator, the CMAC (Cerebellar Model Arithmetic or Articulated Controller) based learning control has drawn a great attention to realize a rather robust real-time manipulator control under the various uncertainties. There remain, however, inherent problems to be solved in the CMAC application to robot motion control or perception of sensory information. To apply the CMAC to the various unmodeled or modeled systems more efficiently, it is necessary to analyze the effects of the CMAC control parameters on the trained net. Although the CMAC control parameters such as size of the quantizing block, learning gain, input offset, and ranges of input variables play a key role in the learning performance and system memory requirement, these have not been fully investigated yet. These parameters should be determined, of course, considering the shape of the desired function to be trained and learning algorithms applied. In this paper, the interrelation of these parameters with learning performance is investigated under the basic learning schemes presented by authors. Since an analytic approach only seems to be very difficult and even impossible for this purpose, various simulations have been performed with pre specified functions and their results were analyzed. A general step following design guide was set up according to the various simulation results.

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무기체계 내장형 소프트웨어 신뢰성 향상을 위한 MAAB 스타일 가이드라인 영향성 연구 (Research on the Effects of MAAB Style Guidelines for Weapon System Embedded Software Reliability Improvement)

  • 김연균;윤형식
    • 한국군사과학기술학회지
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    • 제17권2호
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    • pp.213-222
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    • 2014
  • In this paper, we introduce that MAAB style guideline has effects on the codes generated from Simulink models for static and dynamic software testing, when weapon system embedded software design and implementation are performed using the model based method. As showing the effects, MAAB guideline is helpful for defect prevention related with coding rules and run time errors associated with the DAPA weapon system embedded software guide. Thus, we check related items between MAAB and DAPA software reliability testing including static and dynamic analysis. And then we propose the criterion to select proper items from MAAB for DAPA guideline and show how to verify the relationship and the effects on reliability of models in Simulink. In addition, we show the needs for clear logics in conditional block models or statements and simple complexity models for Simulink model based design.

Mathematical model and sensitivity analysis for describing emulsification in ASP flooding

  • Zhang, Chengli;Wang, Peng;Song, Guoliang
    • Geosystem Engineering
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    • 제21권6호
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    • pp.335-343
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    • 2018
  • Alkali-surfactant polymer flooding has become an important technique to improve oil recovery following the development of oil fields while the function of emulsification in enhanced oil recovery is rarely considered in the existing mathematical model for numerical simulation. In this paper, the mechanism of improving the recovery of the emulsification was analyzed in ASP flooding, and a relatively perfect mathematical model with deep filtration-theory was established, in which oil-water volume equation, saturation equation, viscosity equation, and permeability reduction equation are included. The new model is used to simulate the actual block of an oil field; the simulated results of the new model and an old model without considering the emulsification are compared with the actual well history. It is found that new model which is easy to be realized in numerical simulation has a high precision fitting, and the effect of adding oil and decreasing water is obvious. The sensitivity of emulsification was analyzed, and the results show that the water reducing funnel becomes wider and the rate of water cut decreases rapidly with the increase of emulsifying capacity, and then the rate of recovery slows down. The effect of increasing oil and decreasing water is better, and the degree of recovery increases. The emulsification of the ASP flooding is maintained at a moderate level, which corresponds to ${\Phi}=0.2$ in the new model, and the emulsification is applied to realize the general mathematical quantitative description, so as to better guide the oilfield development.

온라인 교육 환경에서 효율적 학습자 문제추천을 위한 스마트 컨트랙트 연구 (Smart contract research for efficient learner problem recommendation in online education environment)

  • 민연아
    • 한국인터넷방송통신학회논문지
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    • 제22권4호
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    • pp.195-201
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    • 2022
  • 학습자 주도의 지속적 원격교육 환경을 위하여 학습자의 정확한 학습 패턴을 고려한 올바른 문제 추천 가이드에 대한 필요성이 증대하고 있다. 본 논문에서는 원격교육환경에서 수집되는 학습자의 문제패턴에 대하여 상황별 가중치를 부여하여 해당 데이터를 기반의 개별 학습자의 최적 문제추천 경로를 제시하는 방법으로 블록체인 기반 스마트 컨트랙트 기술을 연구하였다. 본 연구의 성능평가를 위하여 기존 유사 학습 환경과의 학습만족도 및 문제추천가이드의 유용성과 학습자 데이터 처리속도를 분석하였으며 본 연구를 통하여 15% 이상 학습 만족도 향상과 기존 학습 환경 대비 20% 이상의 학습데이터 처리속도향상을 확인하였다.

Adaptive High-order Variation De-noising Method for Edge Detection with Wavelet Coefficients

  • Chenghua Liu;Anhong Wang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권2호
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    • pp.412-434
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    • 2023
  • This study discusses the high-order diffusion method in the wavelet domain. It aims to improve the edge protection capability of the high-order diffusion method using wavelet coefficients that can reflect image information. During the first step of the proposed diffusion method, the wavelet packet decomposition is a more refined decomposition method that can extract the texture and structure information of the image at different resolution levels. The high-frequency wavelet coefficients are then used to construct the edge detection function. Subsequently, because accurate wavelet coefficients can more accurately reflect the edges and details of the image information, by introducing the idea of state weight, a scheme for recovering wavelet coefficients is proposed. Finally, the edge detection function is constructed by the module of the wavelet coefficients to guide high-order diffusion, the denoised image is obtained. The experimental results showed that the method presented in this study improves the denoising ability of the high-order diffusion model, and the edge protection index (SSIM) outperforms the main methods, including the block matching and 3D collaborative filtering (BM3D) and the deep learning-based image processing methods. For images with rich textural details, the present method improves the clarity of the obtained images and the completeness of the edges, demonstrating its advantages in denoising and edge protection.