• Title/Summary/Keyword: 모델 기준

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Standard Reference Model Analysis for Smart Farming based on Networks (네트워크 기반에서의 스마트 농업 표준 기준모델 분석)

  • Kim, Dong Il;Chung, Hee Chang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.11
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    • pp.2703-2709
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    • 2015
  • IT convergence with agriculture is expected to bring more efficiency and quality improvement in producing, distributing, consuming of agricultural products with the aid of information processing and autonomous control technologies of the IT area. Smart Farming based on network is a service which is capable of coping with environmental and technical problems with the actualized IT convergence case for agriculture. In this paper, it is required to consider the actualized IT convergence case for agriculture, namely Smart Farming as a solution to cope the presented problems. In addition, propose and suggest to standard model and standardization items requirement for the Smart Farming based on network.

Study of fair price model formula for the software pricing (소프트웨어의 적정가격 결정 모델에 대한 연구)

  • Jo, YuJin;Kim, Jong-Bae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.75-78
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    • 2014
  • Discussion of the validity of the software price has been constantly followed in it. For interests friendly relations between the supply provider and consumers, suitable pricing logic is required to convince each other in the market. However, in reality, not only there is no exact calculation standard of the factors that determine the price still, and also lack understanding of the factors. The fact is that by this, each supply company has a software pricing by different criteria, so consumers keep questioning It's a reasonable price. In this paper, it is intended to analyze a variety of factors that influence to the software price and base on this determine a reasonable price formula model of software packages.

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An Effective Segmentation Scheme for Korean Sentence Classification tasks (한국어 문장 분류 태스크에서의 효과적 분절 전략)

  • Kim, Jin-Sung;Kim, Gyeong-Min;Son, Junyoung;Lim, Heuiseok
    • Annual Conference on Human and Language Technology
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    • 2021.10a
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    • pp.173-177
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    • 2021
  • 분절을 통한 양질의 입력 자질을 구성하는 것은 언어모델의 문장에 대한 이해도를 높이기 위한 필수적인 단계이다. 분절은 문장의 의미를 이해하는 데 있어 중요한 역할을 하기 때문이다. 따라서, 한국어 문장 분류 태스크를 수행함에 있어 한국어의 특징에 맞는 분절 기법을 선택하는 것은 필수적이다. 명확한 판단 기준 마련을 위해, 우리는 한국어 문장 분류 태스크에서 가장 효과적인 분절 기법이 무엇인지 감성 분석, 자연어 추론, 텍스트 간 의미적 유사성 판단 태스크를 통해 검증한다. 이 때 비교할 분절 기법의 유형 분류 기준은 언어학적 단위에 따라 어절, 형태소, 음절, 자모 네 가지로 설정하며, 분절 기법 외의 다른 실험 환경들은 동일하게 설정하여 분절 기법이 문장 분류 성능에 미치는 영향만을 측정하도록 한다. 실험 결과에 따르면 자모 단위의 분절 기법을 적용한 모델이 평균적으로 가장 높은 성능을 보여주며, 반복 실험 간 편차가 적어 일관적인 성능 결과를 기록함을 확인할 수 있다.

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Numerical Model for the Estimation of Ultimate Load Capacity of CFT Columns Considering Time-dependent Behavior (시간 의존적 거동을 고려한 CFT 기둥의 극한 하중 계산을 위한 수치 해석 모델 제안)

  • Seong Hun Kim;Hyo-Gyoung Kwak
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.37 no.1
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    • pp.25-31
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    • 2024
  • This paper introduces a numerical analysis model capable of evaluating CFT (Concrete-Filled Tube) columns across all time stages, incorporating creep behavior analysis and inelastic analysis to account for time-dependent behavior. The proposed model is compared with experimental results, revealing that the numerical model presented in this paper demonstrates more accurate trends than existing design criteria. Following verification, a numerical analysis is conducted for each slenderness ratio, determining the ultimate load capacity and examining the short-term and long-term sustained load behavior of the overall CFT column members.

적응제어의 본질과 현실

  • 양해원
    • 전기의세계
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    • v.36 no.7
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    • pp.486-490
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    • 1987
  • 본고에서는 현재까지 확립된 적응제어의 설계이론 특히 기준모델형 적응제어에 중점을 두고 소개하였으며, 최근에 활발하게 연구가 진행되고 있는 강인성(robustness)해석 및 개선 즉 위에서 언급한 제약을 풀어 나가기 위한 시도들의 일부에 대하여 기술하였다.

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A Study on an Adaptive Model Predictive Control for Nonlinear Processes using Fuzzy Model (퍼지모델을 이용한 비선형 공정의 적응 모델예측제어에 관한 연구)

  • 박종진;우광방
    • Journal of the Korean Institute of Intelligent Systems
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    • v.6 no.2
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    • pp.97-105
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    • 1996
  • In this paper, an adaptive model predictive controller for nodinear processes using fuzzy model is proposed. Adaptive structure is implemented by recursive fuzzy modeling. The model and control law can be obtained the same as GPC, because the consequent parts of the fuzzy model comprise linear equations of input and output variables. The proposed Adaptive fuzzy model predictive controller (AFMPC) controls nonlinear process well due to the intrinsic nonlinearity of the fuzzy model. When AFMPC's output is variation in the process control input, it maintains zero steady-state offset for a constant reference input and has superior performance. The properties and performance of the proposed control scheme were examined with nonlinear plant by simulation.

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