• Title/Summary/Keyword: 동형

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A Study on the Conceptualization of Terminology for Construction of Structured Glossary - A Morphological Analysis of Sino-Korean Suffixes of Compound Noun in Humanities & Social Sciences (구조적 학술용어사전 구축에 있어서 인문사회분야 복합명사의 한자어 접미사 형태분석에 의한 용어의 개념화에 관한 연구)

  • Park, Seong-Eun;Shin, You-Jung
    • Proceedings of the Korean Society for Information Management Conference
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    • 2013.08a
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    • pp.123-128
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    • 2013
  • 본 연구는 한자어 접미사를 가진 학술용어 복합명사의 형태를 분석하고, 한자어 접미사를 가진 복합 명사의 범주화를 위한 알고리즘을 제시하는 것을 목적으로 한다. 연구의 배경은 구조적 학술용어사전의 구축과 관련하여 용어의 효율적인 개념화 방법론을 개발하는 것이다. 연구 목적을 이루기 위해 한자어 접미사를 가진 인문사회분야 복합명사의 형태를 분석하여, 출현 빈도가 10회 이상인 한자어 접미사를 각 분야별로 14개씩 추출하였다. 그리고 각 한자어 접미사가 배정된 개념범주와 개념범주 배정 빈도를 분석한 결과, 동음이의 한자어 접미사를 가진 경우 개념범주가 다양하게 배정될 수 있지만, 동음동형 한자어 접미사를 가진 경우에는 그렇지 않다는 특징을 파악하였다. 또한 특정 한자어 접미사가 하나의 개념범주에 배정된 빈도가 높고 그 외의 개념범주에 배정된 빈도는 현저히 낮을 경우 빈도가 높은 개념범주에 배정되는 것이 더 타당한 것으로 분석되었다.

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Noise Reduction Algorithm of Salt-and-Pepper Using Reliability-based Weighted Mean Filter (복원화소의 신뢰도 기반 가중 평균 필터를 활용한 Salt-and-Pepper 잡음 제거 알고리즘)

  • Kim, Donghyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.2
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    • pp.1-11
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    • 2021
  • Salt and pepper is a type of impulse noise. It may appear due to an error in the image transmission process and image storage memory. This noise changes the pixel value at any position in the image to 0 (in case of pepper noise) or 255 (in case of salt noise). In this paper, we present an algorithm for SAP noise reduction. The proposed method consists of three steps. In the first step, the location of the SAP noise is detected, and in the second step, the pixel value of the detected location is restored using a weighted average of the surrounding pixel values. In the last step, a reliability matrix around the reconstructed pixels is constructed, and additional correction is performed with a weighted average using this. As a result of the experiment, the proposed method appears to have similar or higher objective and subjective image quality than previous methods for almost all SAP noise ratios.

High-Precision Direct-Operated Relief Valve with a Variable Elasticity Spring (변탄성 스프링을 이용한 고정밀 직동형 릴리프 밸브)

  • Kim, SungDong
    • Journal of Drive and Control
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    • v.17 no.4
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    • pp.87-96
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    • 2020
  • In this study, a variable elasticity spring was applied to improve the pressure control precision of conventional relief valves. The equilibrium equation of the forces acting on the valve poppet was derived; it is demonstrated that matching the elastic rate of the pressure-adjusting coil spring to the equivalent elastic rate of the flow force improved the pressure override. The procedures that were used to design the variable elasticity spring are presented, and some applications of the variable elasticity spring are also introduced. Computer simulations were used to analyze three cases: a poppet-closed flow force structure, a poppet-open flow force structure with a constant elasticity spring, and a structure containing a variable elasticity spring. It is confirmed that the pressure control precision of the relief valve can be significantly improved upon by applying a variable elasticity spring to the poppet-open flow force structure.

Technical Trends of Robot Task Intelligence in Intelligent Logistics/Agriculture (지능형 물류/농업분야의 로봇작업지능 기술 동향)

  • Yu, W.P.;Lee, Y.C.;Kim, D.H.
    • Electronics and Telecommunications Trends
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    • v.36 no.2
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    • pp.22-31
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    • 2021
  • This report introduces a definition for robot task intelligence and explains the basis of the challenges associated with implementing robot task intelligence in real-world problems. Two fundamental elements of this intelligence, robot manipulation and navigation, are introduced herein. We describe the existing trends and industrial applications of the robot task intelligence in logistics and agricultural automation. Furthermore, as an underpinning technology for this intelligence, we review the existing three-dimensional position estimation techniques and summarize the difficulties associated with applying pure SLAM technology to real-world applications. Finally, we discuss the prospects of the robot task intelligence research and its potential for solving real-world problems.

Development of a Robot System for Automatic De-palletizing of Parcels loaded in Rolltainer (롤테이너 적재 소포를 자동으로 디팔레타이징하기 위한 로봇 시스템 개발)

  • Kim, Donghyung;Lim, Eul Gyoon;Kim, Joong Bae
    • The Journal of Korea Robotics Society
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    • v.17 no.4
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    • pp.431-437
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    • 2022
  • This paper deals with a study on the automatic depalletizing robot for parcels loaded in rolltainer of domestic postal distribution centers. Specifically, we proposed a robot system that detect parcels loaded in a rolltainer with a 3D camera and perform de-palletizing using a cooperative robot. In addition, we developed the task flow chart for parcel de-palletizing and the method of retreat motion generation in the case of collision with rolltainer. Then, we implemented the proposed methods to the robot's controller by developing robot program. The proposed robot system was installed at the Anyang Post Distribution Center and field tests were completed. Field tests have shown that the robotic system has a success rate of over 90% for depalletizing task. And it was confirmed that the average tact time per parcel was 7.3 seconds.

Improving Clustered Sense Labels for Word Sense Disambiguation (단어 의미 모호성 해소를 위한 군집화된 의미 어휘의 품질 향상)

  • Jeongyeon Park;Hyeong Jin Shin;Jae Sung Lee
    • Annual Conference on Human and Language Technology
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    • 2022.10a
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    • pp.268-271
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    • 2022
  • 단어 의미 모호성 해소는 동형이의어의 의미를 문맥에 맞게 결정하는 일이다. 최근 연구에서는 희소 데이터 처리를 위해 시소러스를 사용해 의미 어휘를 압축하고 사용하는 방법이 좋은 성능을 보였다[1]. 본 연구에서는 시소러스 없이 군집화 알고리즘으로 의미 어휘를 압축하는 방법의 성능 향상을 위해 두 가지 방법을 제안한다. 첫째, 의미적으로 유사한 의미 어휘 집합인 범주(category) 정보를 군집화를 위한 초기 군집 생성에 사용한다. 둘째, 다양하고 많은 문맥 정보를 학습해 만들어진 품질 좋은 벡터를 군집화에 사용한다. 영어데이터인 SemCor 데이터를 학습하고 Senseval, Semeval 5개 데이터로 평가한 결과, 제안한 방법의 평균 성능이 기존 연구보다 1.5%p 높은 F1 70.6%를 달성했다.

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Adaptive Switching Filtering Algorithm for SAP noise (SAP 잡음 제거를 위한 적응적 스위칭 필터링 알고리즘)

  • Kim, Donghyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.1
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    • pp.25-35
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    • 2022
  • The SAP(salt-and-pepper) noise changes the pixel value to the maximum and minimum values of the dynamic region of the pixel. For this reason, unlike white Gaussian noise, SAP noise can predict the ratio of noise relatively easily. Because the condition of the neighboring pixels that can be referenced changes according to the noise ratio, it is necessary to apply different noise reduction methods according to the noise ratio. This paper proposes an adaptive switching filtering algorithm which can eliminates the SAP noise. It consists of two phases. It first detects the location of the SAP noise and calculates the noise ratio. After that, the image is reconstructed using different methods depending on which of the three sections the calculated noise ratio belongs to. As a result of the experiment, the proposed method showed superior objective and subjective image quality compared to the previous methods such as MF, AFSWMF, NAMF and RWMF.

Post Processing Noise Reduction Algorithm of SAP Using Convolution Neural Network (합성곱신경망을 이용한 SAP 잡음 제거 후처리 알고리즘)

  • Kim Donghyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.2
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    • pp.57-68
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    • 2023
  • Because salt and pepper noise is a type of impulse, even a small amount of noise could cause a large image degradation. In this paper, we proposed a salt-and-pepper noise removal method using the convolutional neural network. It consists of four phases. In the first step, the proposed method reconstructs noisy image using a traditional salt-and-pepper noise reduction method, and in the second step, the result image of previous step is filtered with Gaussian low pass filter. After that, we reconstruct the filtered image using convolution neural network. In the last step, the pixels with salt-and-pepper noise are replaced with the result of previous phase. Simulation results show that the proposed method yields not only objective image qualities(PSNR, SSIM) but also subjective image qualities for all SAP noise ratios.

Volumetic Error Compensation of a Coordinate Measuring Machine using a Software Method (3차원 좌표 측정기의 Software에 의한 Volumetric 오차 교정)

  • Park, June-Ho;Lee, Eung-Suk;Yang, Jong-Hwa;Cho, So-Hyug
    • Journal of the Korean Society for Precision Engineering
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    • v.11 no.4
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    • pp.158-164
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    • 1994
  • A volumetric error compensation method was stueide with measuring systematic error of a Coordinate Measuring Machine(CMM). The volumetric error equations were proposed for a Moving Bridge type CMM. Using the error equations, error vectors in the measuring volume were corrected by a software method. The CMM was controlled by the compensation program separately in the measuring and moving function of the CMM proving. The linear accuracy of the CMM was measured by the Laser Interferometer and compared with the data before the volumetric error compensation. This method was proved as low cost and effective to reduce the systematic error of the CMM, as no hardware modification is required.

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Quantization of Non-Arithmetics to Optimize CNNs over TFHE (TFHE 기반 CNN 연산 최적화를 위한 비산술연산의 양자화 기술 연구)

  • Kevin Nam;Heonhui Jung;Dongju Lee;Yunheung Paek
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.404-407
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    • 2024
  • 동형암호는 주목받는 차세대 프라이버시 보존 기술이며, 이를 활용한 신경망 연산 연구들이 많이 수행되고 있다. 여러 체계들 중 TFHE는 비산술 연산을 직접 연산할 수 있으나 다른 체계들보다 매우 느리다는 단점이 있다. 본 연구는 정확도 하락을 최소화하며 성능 개선을 통해 다른 체계인 CKKS보다 빠른 TFHE기반 CNN 연산이 가능하도록 하는 TFHE 비산술 연산의 양자화 기술을 소개한다.