• 제목/요약/키워드: Improved Methods

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초지형과 파종상 정지방법이 유거수량 , 토양 유실량 , 목초의 식생구성 , 건물수량 및 경제성에 미치는 영향 (Effects of the Pasture Types and the Leveling Methods of Seedbed on the Runoff , Soil Loss , Botanical Composition , Dry Matter Yield of Forage and Economical value)

  • 이종경;임영철;윤세형;김맹중;박근제;양종성;최선식;이성철
    • 한국초지조사료학회지
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    • 제18권1호
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    • pp.55-60
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    • 1998
  • This study was conducted to investigate the effects of the pasture types and the leveling methods of winding slope land for seedbed on the runoff, soil loss, botanical composition, dry matter yield of forage and economical value at the Experimental Field of Grassland and Forage Crops Division, National Livestock Research Institute, Suweon, from 1994 to 1995. The results obtained are summarized as follows: 1. Runoff of the improved land was higher than that of the unimproved land in the top grass and bottom grass. 2. Soil loss of the improved land was higher than that of the unimproved land in the top and bottom grasses in the first year. However, it was slightly higher in the unimproved land, and all of it were greatly decreased in the second year. 3. The percentage of grasses coverage was increased with the improved land in the first year, and it was not different between the improved land and unimproved land in the second year. Also, it was slightly increased in the bottom grasses. 4. Dry matter yield of grasses was increased with improved land at the top and bottom grasses. DM yield of grasses was increased in the top grasses in the first year and bottom grasses in the second year, respectively. 5. The establishment cost of grasses was decreased with wages decrement, and the management cost was saved about 1,116,000 won per ha with improved land. The results demonstrated that although soil loss was increased by leveling methods of improved land irrespective of pasture types in the first year, it was decreased with time little by little. Also, improved land was very good for grasses coverage, dry matter(DM) yield and economical value.

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흡수율이 1% 이하인 자기질 타일의 타일접착제를 사용한 벽체 개량 떠붙임 공법의 부착안정성 평가 연구 (A Study on the Estimation of Adhesive Stability of the Improved Direct Setting Method using Tile Bond for Application of Porcelain Tile under 1 percent absorptance)

  • 정양희;정은혜;서신석;김욱종;이도범
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2008년도 추계 학술논문 발표대회
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    • pp.13-16
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    • 2008
  • This paper is to present the performance data for improved direct setting method using tile bond for application of porcelain tile under 1 percent absorptance. For this purpose, improved direct setting method type 1 & 2(tile bond curing time 0, 24H) were compared with the conventional setting methods(including direct setting method and improved pressure setting method) in the sight of the adhesive stability of porcelain tile. It tested for tiles after 14, 28days under standard condition and severe conditions. The severe conditions were water immersion, heat ageing(70℃) and freeze-thaw cycle. On the basis of test results, the adhesive strength of direct setting method was lowest for the conventional setting methods. But improved direct setting method using tile bonds(A, B) came close to the result of improved pressure setting method using tile bonds.

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4개 전공/학습내용별 교수법에 따른 학습반응 분석 (Analysis of Learning Responses According to Teaching Methods for Four Major/Learning Contents)

  • 이재경;안준수
    • 공학교육연구
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    • 제20권2호
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    • pp.31-38
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    • 2017
  • In this study, specific teaching methods of lecturing and improved discussion methods (combining discussion and problem-based learning) were selected and applied for each major subject and learning content area in the fields of engineering, language, and social sciences. Then, the selected teaching methods were examined to determine the most effective learning contents. Finally, in order to determine the most effective teaching methods, a survey on student satisfaction was analyzed statistically. The results showed that students preferred teaching methods that combine lectures and improved discussion methods to the traditional method of only lectures. Therefore, this research proposes the combined teaching method for each major subject and learning content area.

Improved formulation for a structure-dependent integration method

  • Chang, Shuenn-Yih;Wu, Tsui-Huang;Tran, Ngoc-Cuong
    • Structural Engineering and Mechanics
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    • 제60권1호
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    • pp.149-162
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    • 2016
  • Structure-dependent integration methods seem promising for structural dynamics applications since they can integrate unconditional stability and explicit formulation together, which can enable the integration methods to save many computational efforts when compared to an implicit method. A newly developed structure-dependent integration method can inherit such numerical properties. However, an unusual overshooting behavior might be experienced as it is used to compute a forced vibration response. The root cause of this inaccuracy is thoroughly explored herein. In addition, a scheme is proposed to modify this family method to overcome this unusual overshooting behavior. In fact, two improved formulations are proposed by adjusting the difference equations. As a result, it is verified that the two improved formulations of the integration methods can effectively overcome the difficulty arising from the inaccurate integration of the steady-state response of a high frequency mode.

An Optimal Method to Improve the Visual Quality of Medical Images

  • Shin, Choong-ho;Jung, Chai-yeoung
    • 통합자연과학논문집
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    • 제8권2호
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    • pp.141-144
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    • 2015
  • As the visual quality of X-ray images is a critical reference for the accuracy of the clinical diagnosis, the methods to improve the quality of X-ray images have been investigated. Among many existing methods, using frequency domain filter is a very powerful method to improve the visual quality of images. In this paper, the inherent noises of the input images are suppressed by adding the Laplacian image to the subjected image. The medical X-ray images using the optimal high pass filter has shown improved edges. Further, the optimal high frequency emphasis filter has shown the improved contrast of flat areas by using the result image from the optimal high pass filter. Also the resulting images of the global contrast have improved by the histogram equalization. As a result, the proposed methods have shown enhanced contrast and edges of the images with noise canceling effect.

MDPPA/HMM처리 면직물의 고착방법에 따른 방염성과 물성의 변화 (Effect of Fixation Methods on the Flame Retardant and Performance Properties of MDPPA/HMM treated Cotton)

  • 지주원;오경화
    • 한국의류학회지
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    • 제24권1호
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    • pp.15-23
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    • 2000
  • Effect of fixation methods on the flame retardant(FR) and performance properties of MDPPA/HMM treated cotton fabrics were studied. Combination of three different fixation methods - premercerization, swelling agent treatment, pad dry cure fixation, and wet fixation - were applied to flame retardant finish of cotton with MDPPA/HMM. As a result, an increase in internal volume of cotton fiber by pre-mercerization and addition of swelling agent, and wet fixation increased %add-on of FR agent improving FR efficiency and wash fastness. Tensile strength of MDPPA/HMM treated cotton fabrics by wet fixation and swelling agent were slightly decreased, but that of premercerized cotton was improved. Wet fixated fabric showed lower bending rigidity and better compressional properties which improved fabric hand. Retention of swelling ability of cotton treated with MDPPA/HMM improved moisture absorption properties.

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Scene-based Nonuniformity Correction Complemented by Block Reweighting and Global Offset Initialization

  • Hong, Yong-hee;Lee, Keun-Jae;Kim, Hong-Rak;Jhee, Ho-Jin
    • 한국컴퓨터정보학회논문지
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    • 제22권8호
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    • pp.15-23
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    • 2017
  • In this paper, the block reweighting and global offset initialization methods are proposed to complement the improved IRLMS algorithm which is the effective algorithm in registration based SBNUC algorithm. Proposed block weighting method reweights the error map whose abnormal data are excluded. The global offset initialization method compensates the global nonuniformity initially. The ordinary registration based SBNUC algorithm is hard to compensate global nonuniformity because of low scene motion. We employ the proposed methods to improved IRLMS algorithm, and apply it to real-world infrared raw image stream. The result shows that new implementation provides 3.5~4.0dB higher PSNR and convergence speed 1.5 faster then the improved IRLMS algorithm.

향상된 JA 방식을 이용한 다 모델 기반의 잡음음성인식에 대한 연구 (A Study on the Noisy Speech Recognition Based on Multi-Model Structure Using an Improved Jacobian Adaptation)

  • 정용주
    • 음성과학
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    • 제13권2호
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    • pp.75-84
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    • 2006
  • Various methods have been proposed to overcome the problem of speech recognition in the noisy conditions. Among them, the model compensation methods like the parallel model combination (PMC) and Jacobian adaptation (JA) have been found to perform efficiently. The JA is quite effective when we have hidden Markov models (HMMs) already trained in a similar condition as the target environment. In a previous work, we have proposed an improved method for the JA to make it more robust against the changing environments in recognition. In this paper, we further improved its performance by compensating the delta-mean vectors and covariance matrices of the HMM and investigated its feasibility in the multi-model structure for the noisy speech recognition. From the experimental results, we could find that the proposed improved the robustness of the JA and the multi-model approach could be a viable solution in the noisy speech recognition.

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Text Categorization with Improved Deep Learning Methods

  • Wang, Xingfeng;Kim, Hee-Cheol
    • Journal of information and communication convergence engineering
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    • 제16권2호
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    • pp.106-113
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    • 2018
  • Although deep learning methods of convolutional neural networks (CNNs) and long-/short-term memory (LSTM) are widely used for text categorization, they still have certain shortcomings. CNNs require that the text retain some order, that the pooling lengths be identical, and that collateral analysis is impossible; In case of LSTM, it requires the unidirectional operation and the inputs/outputs are very complex. Against these problems, we thus improved these traditional deep learning methods in the following ways: We created collateral CNNs accepting disorder and variable-length pooling, and we removed the input/output gates when creating bidirectional LSTMs. We have used four benchmark datasets for topic and sentiment classification using the new methods that we propose. The best results were obtained by combining LTSM regional embeddings with data convolution. Our method is better than all previous methods (including deep learning methods) in terms of topic and sentiment classification.

A New Approach to Solve the TSP using an Improved Genetic Algorithm

  • Gao, Qian;Cho, Young-Im;Xi, Su Mei
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제11권4호
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    • pp.217-222
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    • 2011
  • Genetic algorithms are one of the most important methods used to solve the Traveling Salesman Problem. Therefore, many researchers have tried to improve the Genetic Algorithm by using different methods and operations in order to find the optimal solution within reasonable time. This paper intends to find a new approach that adopts an improved genetic algorithm to solve the Traveling Salesman Problem, and compare with the well known heuristic method, namely, Kohonen Self-Organizing Map by using different data sets of symmetric TSP from TSPLIB. In order to improve the search process for the optimal solution, the proposed approach consists of three strategies: two separate tour segments sets, the improved crossover operator, and the improved mutation operator. The two separate tour segments sets are construction heuristic which produces tour of the first generation with low cost. The improved crossover operator finds the candidate fine tour segments in parents and preserves them for descendants. The mutation operator is an operator which can optimize a chromosome with mutation successfully by altering the mutation probability dynamically. The two improved operators can be used to avoid the premature convergence. Simulation experiments are executed to investigate the quality of the solution and convergence speed by using a representative set of test problems taken from TSPLIB. The results of a comparison between the new approach using the improved genetic algorithm and the Kohonen Self-Organizing Map show that the new approach yields better results for problems up to 200 cities.