• Title/Summary/Keyword: term structure

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Reliability Computation of Neuro-Fuzzy Model Based Short Term Electrical Load Forecasting (뉴로-퍼지 모델 기반 단기 전력 수요 예측시스템의 신뢰도 계산)

  • Shim, Hyun-Jeong;Wang, Bo-Hyeun
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.10
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    • pp.467-474
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    • 2005
  • This paper presents a systematic method to compute a reliability measure for a short term electrical load forecasting system using neuro-fuzzy models. It has been realized that the reliability computation is essential for a load forecasting system to be applied practically. The proposed method employs a local reliability measure in order to exploit the local representation characteristic of the neuro-fuzzy models. It, hence, estimates the reliability of each fuzzy rule learned. The design procedure of the proposed short term load forecasting system is as follows: (1) construct initial structures of neuro-fuzzy models, (2) store them in the initial structure bank, (3) train the neuro-fuzzy model using an appropriate initial structure, and (4) compute load prediction and its reliability. In order to demonstrate the viability of the proposed method, we develop an one hour ahead load forecasting system by using the real load data collected during 1996 and 1997 at KEPCO. Simulation results suggest that the proposed scheme extends the applicability of the load forecasting system with the reliably computed reliability measure.

Corporate Cash Shortfalls and External Financing: Evidence from Korea (현금부족이 외부자본 조달 결정에 미치는 영향)

  • So-Yeon Kim;Meiyan Jin;Saeyeul Park
    • Asia-Pacific Journal of Business
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    • v.14 no.1
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    • pp.215-229
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    • 2023
  • Purpose - Based on the funding-horizon theory, this study aims to test the effects of cash needs and the persistence of external funding needs on firms' external financing. Design/methodology/approach - Financial data of Korean listed companies were collected from DataGuide. Immediate and near-term cash shortfalls are defined using the methodology of Haung and Ritter (2021). We estimate multinomial logit regressions for the financing choice. Findings - First, all three cash depletion variables used in our study increase the likelihood of external financing. Second, firms prefer to issue debt to meet immediate spending and equity to meet long-lived cash needs. Third, this effect is more pronounced for high R&D firms. Fourth, chaebol firms with internal capital markets defer raising external capital for immediate and near-term cash needs. Research implications or Originality - This paper provide empirical evidence that immediate and near-term cash needs induce external financing, and the persistence of cash needs affects the choice between debt and equity, the finding which is consistent with the funding-horizon theory of financing decisions. Being the first paper to test the funding-horizon theory using Korean data, this paper contributes to the literature on the capital structure of Korean firms.

Automated structural modal analysis method using long short-term memory network

  • Jaehyung Park;Jongwon Jung;Seunghee Park;Hyungchul Yoon
    • Smart Structures and Systems
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    • v.31 no.1
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    • pp.45-56
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    • 2023
  • Vibration-based structural health monitoring is used to ensure the safety of structures by installing sensors in structures. The peak picking method, one of the applications of vibration-based structural health monitoring, is a method that analyze the dynamic characteristics of a structure using the peaks of the frequency response function. However, the results may vary depending on the person predicting the peak point; further, the method does not predict the exact peak point in the presence of noise. To overcome the limitations of the existing peak picking methods, this study proposes a new method to automate the modal analysis process by utilizing long short-term memory, a type of recurrent neural network. The method proposed in this study uses the time series data of the frequency response function directly as the input of the LSTM network. In addition, the proposed method improved the accuracy by using the phase as well as amplitude information of the frequency response function. Simulation experiments and lab-scale model experiments are performed to verify the performance of the LSTM network developed in this study. The result reported a modal assurance criterion of 0.8107, and it is expected that the dynamic characteristics of a civil structure can be predicted with high accuracy using data without experts.

광섬유 센서를 이용한 원자력 발전소 격납구조물의 가동전 가압 팽창을 통한 구조건전성 시험

  • 김기수
    • Composites Research
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    • v.16 no.6
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    • pp.56-61
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    • 2003
  • In this Paper, a fiber Bragg grating(FBG) sensor system is described and FBGs are well-suited for long term and extremely severe experiments, where traditional strain gauges fail. In the system. a reflect wave-length measurement method which employs a tunable light source to find out the center wave-length of FBG sensor is used. We apply the FBG system to nuclear energy Power Plant for structural integrity test to measure the displacement of the structure under designed pressure and to check the elasticity of the structure by measuring the residual strain. The system works very well and it is expected that it can be used for a real-time strain, temperature and vibration detector of smart structure.

The Opinions of Middle Aged Korean about User-Paid Long-Term Care Facilities for Frail Elderly (한국중년층의 유료노인요양시설에 대한 견해)

  • 권오정;김대년
    • Journal of Families and Better Life
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    • v.22 no.4
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    • pp.1-14
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    • 2004
  • Although the proportion of frail elderly among the elderly population has been rapidly increasing, there is little preparation to provide housing alternatives for them in Korean society. Long-term care facility a housing alternative for frail elderly that enables them to receive social and medical care services that enhance the quality of their life. This research was conducted to study the opinions of middle-aged Koreans about long-term care facilities for the frail elderly. This study provides useful suggestions for the development of user-paid long-term care facilities in the near future. A survey questionnaire was administered to 600 adults in their 50s to collect data. The sample was stratified according to region, gender, and housing structure type. The results showed that most of the respondents were aware of long-term care facilities for the frail elderly; but they were relatively unwilling to live in these facilities, as compared to other housing alternatives. However, a larger number of respondents said that as they became very frail, they would be willing to live in these facilities. The respondents expressed a high level of need for user-paid long-term care facilities as an alternative to hospitalization. Also, they wanted to have a variety of long-term care facilities that are designed for different levels of disability. The education level of respondents and their spouses, average monthly income, subjective economic level, and religion were major variables that differentiated significantly the opinions about long-term care facilities for the frail elderly.

A Leveling and Similarity Measure using Extended AHP of Fuzzy Term in Information System (정보시스템에서 퍼지용어의 확장된 AHP를 사용한 레벨화와 유사성 측정)

  • Ryu, Kyung-Hyun;Chung, Hwan-Mook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.2
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    • pp.212-217
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    • 2009
  • There are rule-based learning method and statistic based learning method and so on which represent learning method for hierarchy relation between domain term. In this paper, we propose to leveling and similarity measure using the extended AHP of fuzzy term in Information system. In the proposed method, we extract fuzzy term in document and categorize ontology structure about it and level priority of fuzzy term using the extended AHP for specificity of fuzzy term. the extended AHP integrates multiple decision-maker for weighted value and relative importance of fuzzy term. and compute semantic similarity of fuzzy term using min operation of fuzzy set, dice's coefficient and Min+dice's coefficient method. and determine final alternative fuzzy term. after that compare with three similarity measure. we can see the fact that the proposed method is more definite than classification performance of the conventional methods and will apply in Natural language processing field.

A Study on the Methodology to Ensure Long-Term Durability of Low and Intermediate Level Radwaste Disposal Concrete Structure (${\cdot}$저준위 방사성폐기물 처분 콘크리트 구조물의 장기적 내구성 확보를 위한 방안 검토)

  • Kim Young-Ki;Lee Byung-Sik;Lee Yong-Ho
    • Proceedings of the Korean Radioactive Waste Society Conference
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    • 2005.06a
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    • pp.211-220
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    • 2005
  • The concrete structure is being considered for the main engineered barrier of low and intermediate level radwaste disposal facility. Concrete of low permeability can minimize infiltration of water and effectively prevent release of nuclide to ecosystem. But if concrete degrades, structural stability of disposal structure will decrease while permeability increase, resulting in increased possibility of nuclide release due to water infiltration. Therefore disposal concrete structure degradation shall be minimized to maintain capacity of nuclide isolation. The typical causes of concrete structure degradation are sulfide attack, reinforcement corrosion due to chloride attack, leaching of calcium hydroxide, alkali-aggregate reaction and repeated freezing-thawing. The common cause of these degradation processes is infiltration of water or adverse chemicals into concrete. Based on the study of these degradation characteristics and mechanisms of concrete structure, the methodology of design and service life evaluation of concrete structure as an engineered barrier are reviewed to ensure its long-term durability.

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Effect of Hypertext Structure and Self-Direction on Learning Performance (하이퍼텍스트 유형과 자기주도성이 학업성취에 미치는 효과)

  • Park, Jung-Hwan;Yang, Eun-Young
    • The Journal of Korean Association of Computer Education
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    • v.6 no.4
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    • pp.181-193
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    • 2003
  • The purpose of this study was to find effects of hypertext structure and self-direction on learning performance. To reach the goal, we got 69 H highschool students and tested self-direction we treat hypertext program to them. The results found were that hypertext style(non-structure, structure) didn't effect on academic achievement but did effect 1earner's self direction. Also, we found interactive effect of hypertext structure and self-direction on academic achievement. Following studies have limits verified learning effect, because this studies are carried out in short-term research. Further studies need the study of effect of hypertext structure and self-direction on academic achievement for a long-term research. Also, further studies should accomplish the study considering learner characteristics besides self-direction and will need succeeding studies including various learning contents besides computer general curriculum.

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Speed Control of BLDC Motor Drive Using an Adaptive Fuzzy P+ID Controller (적응 퍼지 P+ID 제어기를 이용한 BLDC 전동기의 속도제어)

  • Kwon, Chung-Jin;Han, Woo-Yang;Sin, Dong-Yang;Kim, Sung-Joong
    • Proceedings of the KIEE Conference
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    • 2002.07b
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    • pp.1172-1174
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    • 2002
  • An adaptive fuzzy P + ID controller for variable speed operation of BLDC motor drives is presented in this paper. Generally, a conventional PID controller is most widely used in industry due to its simple control structure and ease of design. However, the PID controller suffers from the electrical machine parameter variations and disturbances. To improve the tracking performance for parameter and load variations, the controller proposed in this paper is constructed by using an adaptive fuzzy logic controller in place of the proportional term in a conventional PID controller. For implementing this controller, only one additional parameter has to be adjusted in comparison with the PID controller. An adaptive fuzzy controller applied to proportional term to achieve robustness against parameter variations has simple structure and computational simplicity. The controller based on optimal fuzzy logic controller has an self-tuning characteristics with clustering. Computer simulation results show the usefulness of the proposed controller.

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Long-term Prediction of Water Quality in Osaka Bay

  • Han, Dong-Jin;Yoon, Jong-Sung
    • Journal of Environmental Science International
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    • v.13 no.11
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    • pp.993-1000
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    • 2004
  • As an effort to clarify the ecosystem of Osaka Bay, a semi-enclosed coastal area under the influence of stratification, a three-dimensional water quality model with combination of the baroclinic flow model and primitive eco-system model was constructed. The proposed model succeeded in simulating the time-depending flow and density structure and the baroclinic residual currents in Osaka Bay. In present study, we tried to improve the model by taking account of the benthic-pelagic interaction and exchange of nutrients between sea bottom sediments and overlaying water. On vertical structure, the model consists of 13 layers of water and eight layers of sediments. Long-term prediction of water quality was conducted from 1964 to 1985. This period is characterized by rapid water pollution and its decrease by the cutoff reduction of COD and P flowed into Osaka Bay. By combining the sediment model into original model, the numerical model was confirmed to shows more reasonable results in simulating the water quality in Osaka Bay.