• Title/Summary/Keyword: Momentum Factor

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Investigation on the Electromagnetic Characteristics of CMOS Rectangular Spiral Inductors according to the Geometrical Change (CMOS 직사각형 나선 인덕터의 기하학적 변화에 따른 전자기적 특성에 관한 연구)

  • Jin Kyoung-Shin;Kim Young-Sik
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.41 no.12
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    • pp.125-130
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    • 2004
  • The characteristics of on-chip spiral rectangular inductors in CMOS process are investigated through the simulation and experiment. The ADS-momentum is used for EM simulation, and the spiral inductors are fabricated with Hynix 0.35㎛ CMOS process. This research mainly concerned the effects of the geometric change in terms of the number of turns and the width of micro strip line. The measured and simulated results show that the Hynix 0.35㎛ process could support a top metal spiral inductor of 1nH to 6nH with Q-factor less than 5.

Return Premium of Financial Distress and Negative Book Value: Emerging Market Case

  • KAKINUMA, Yosuke
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.8
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    • pp.25-31
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    • 2020
  • The purpose of this paper is to examine a financial distress premium in the emerging market. A risk-return trade-off of negative book equity (NBE) and distress firms is empirically analyzed using data from the Stock Exchange of Thailand. This research employs Ohlson's (1980) bankruptcy model as a measurement of distress risk. The results indicate that distress firms outperform solvent firms in the Thai market and deny distress anomaly often found in the developed market. Fama-Frech (1993) three-factor model and Carhart (1997) four-factor model verify the existence of a distress premium in the Thai capital market. Risk-seeking investors demand greater compensation for bearing risks of distress firms' going concern. This paper provides fresh evidence that default risk is a significant explanatory factor in pricing stocks in the emerging market. Also, this study sheds light on the role of NBE firms in asset pricing. Most studies eliminate NBE firms from their sample. However, NBE firms yield superior average cross-sectional returns, albeit with higher volatility. Investors are rewarded with distress risks associated with NBE firms. The outperformance of NBE firms is statistically significant when compared to the overall market. The NBE premium disappears when factoring size, value, and momentum in time-series analysis.

Effects of the Space Storytelling Factors for Building Artwork on Decision Making Processes of Apartment Purchasing (건축물 미술작품의 공간스토리텔링 적용이 아파트 구매의사결정에 미치는 영향)

  • Kwon, Hyeog-In;Lee, Jin-Hwa;Kim, Mi-Young
    • The Journal of the Korea Contents Association
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    • v.13 no.8
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    • pp.396-408
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    • 2013
  • The purpose of this research is to derive space storytelling factors newly among the evaluating factors of the building artwork and to present their roles and functions and to verify the effectiveness thereof. Random sampling was carried out on 204 residents who experience space storytelling in Ilsan Wi-City. The new evaluation factor was extracted by deriving the space storytelling factor through a theoretical study on the building artwork evaluation factors: formativeness factor, sociality factor, and environmental factor. And the effects of the space storytelling factor extracted in this way and the existion sculpture evaluation factor on the facilities affinity and the purchase intention were examined. This study will serve as a momentum for the building artwork to be harmonized with the surrounding fine view within urban space and to raise the quality of life of the residents.

Making Consumer to Buy Funds: Factor Portfolio in Global Stock Distribution Market (일반 소비자의 공모펀드 구매유인 제고 방안: 글로벌 주식유통시장에서 요인포트폴리오 활용)

  • LIU, Won-Suk
    • Journal of Distribution Science
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    • v.17 no.9
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    • pp.117-125
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    • 2019
  • Purpose - We investigate how to increase consumer incentives to buy public offering funds, resulting in activating the public offering fund market. In particular, this study aims to find ways to expand diversity and to improve efficiency of public offering fund. The public fund market of Korea has been stagnant in recent years. However, the public offering fund market plays a very significant role in terms of consumer welfare. Since only a few wealthy investors can participate in the private equity market, the stagnation in the public offering fund market usually reduces the opportunity of consumer's buying funds thus ultimately affecting their future wealth. Research design, data, and methodology - To attain our purpose, the 'factor-based portfolio strategy' has been considered. It is an alternative portfolio strategy, which composites the advantages of the passive management and active management. For our empirical anaylsis, we used global stock distribution market data over the period of 1991 and 2016. Then we constructed portfolios based on firm-size, firm-value, and momentum. Finally, a regression model was set, then hypotheses were tested, analyzing the performances. Results - First, among the 15 factor-based portfolios of global, Europe, Asia-Pacific(ex Japan), US and Japan, in eight portfolios, positive excess returns are observed at 5% significance level. Further, there is another portfolio with positive excess return at 10% significance level. Second, most of the portfolios with significant excess performance show positive relationship with the market portfolio. However, the firm-value based portfolio in Asia-Pacific region shows no relationship, and the firm-value based portfolio in US shows negative relationship. Third, we confirmed that the two firm-value factor portfolios in Asia-Pacific region and US, not having positive relationship with market portfolio, provide significant excess returns. Conclusions - In this paper, we provide empirical evidences supporting that the factor-based portfolios expand the diversity of funds and improve the efficiency of investment performance. However, there is no guarantee that the efficiency will continue in the future. In addition, various constraints and costs must be considered. Nevertheless, our novel findings in the advanced financial market such as US and Asia-Pacific are very interesting and offers important implications.

1D Numerical Model for Rivers Flows with Emergent Vegetations on Floodplains and Banks (정수식생이 존재하는 자연하도에서 1차원 수치모형)

  • Song, Ju-Il;Kim, Jong-Woo;Rim, Chang-Soo;Yoon, Sei-Eui
    • Journal of Korea Water Resources Association
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    • v.44 no.1
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    • pp.9-22
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    • 2011
  • A 1D numerical model for steady flow, based on the energy equation, was developed for natural rivers with emergent vegetations on floodplains and banks. The friction slope was determined by the friction law of Darcy-Weisbach. The composite friction factor of the each cross section was calculated by considering bottom roughness of the main channel and the floodplains, the flow resistance of vegetations, the apparent shear stress and the flow resistance caused by the momentum transfer between vegetated areas and non-vegetated areas. The interface friction factor caused by flow interaction was calculated by empirical formulas of Mertens and Nuding. In order to verify the accuracy of the suggested model, water surface elevations were calculated by using imaginary compound channels and the results of calculations were compared with that of the HEC-RAS. The sensitivity analysis was performed to confirm changed friction factors by vegetations density etc. The suggested model was applied to the reach of the Enz River in Germany, and estimated water surface elevations of the Enz River were compared with measured water surface elevations. This model could acceptably compute not only water surface elevations with low discharge but also that with high discharge. So, the suggested model in this study verified the applicability in natural rivers with emergent vegetations.

Rule-Based Fuzzy-Neural Networks Using the Identification Algorithm of the GA Hybrid Scheme

  • Park, Ho-Sung;Oh, Sung-Kwun
    • International Journal of Control, Automation, and Systems
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    • v.1 no.1
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    • pp.101-110
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    • 2003
  • This paper introduces an identification method for nonlinear models in the form of rule-based Fuzzy-Neural Networks (FNN). In this study, the development of the rule-based fuzzy neural networks focuses on the technologies of Computational Intelligence (CI), namely fuzzy sets, neural networks, and genetic algorithms. The FNN modeling and identification environment realizes parameter identification through synergistic usage of clustering techniques, genetic optimization and a complex search method. We use a HCM (Hard C-Means) clustering algorithm to determine initial apexes of the membership functions of the information granules used in this fuzzy model. The parameters such as apexes of membership functions, learning rates, and momentum coefficients are then adjusted using the identification algorithm of a GA hybrid scheme. The proposed GA hybrid scheme effectively combines the GA with the improved com-plex method to guarantee both global optimization and local convergence. An aggregate objective function (performance index) with a weighting factor is introduced to achieve a sound balance between approximation and generalization of the model. According to the selection and adjustment of the weighting factor of this objective function, we reveal how to design a model having sound approximation and generalization abilities. The proposed model is experimented with using several time series data (gas furnace, sewage treatment process, and NOx emission process data from gas turbine power plants).

A Comparative Study of Material Flow Stress Modeling by Artificial Neural Networks and Statistical Methods (신경망을 이용한 HSLA 강의 고온 유동응력 예측 및 통계방법과의 비교)

  • Chun, Myung-Sik;Yi, Joon-Jeong;Jalal, B.;Lenard, J.G.
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.21 no.5
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    • pp.828-834
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    • 1997
  • The knowledge of material stress-strain behavior is an essential requirement for design and analysis of deformation processes. Empirical stress-strain relationship and constitutive equations describing material behavior during deformation are being widely used, despite suffering some drawbacks in terms of ease of development, accuracy and speed. In the present study, back-propagation neural networks are used to model and predict the flow stresses of a HSLA steel under conditions of constant strain, strain rate and temperature. The performance of the network model is comparedto those of statistical models on rate equations. Well-trained network model provides fast and accurate results, making it superior to statistical models.

Analysis of aerodynamic characteristics of 2 MW horizontal axis large wind turbine

  • Ilhan, Akin;Bilgili, Mehmet;Sahin, Besir
    • Wind and Structures
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    • v.27 no.3
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    • pp.187-197
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    • 2018
  • In this study, aerodynamic characteristics of a horizontal axis wind turbine (HAWT) were evaluated and discussed in terms of measured data in existing onshore wind farm. Five wind turbines (T1, T2, T3, T4 and T5) were selected, and hub-height wind speed, $U_D$, wind turbine power output, P and turbine rotational speed, ${\Omega}$ data measured from these turbines were used for evaluation. In order to obtain characteristics of axial flow induction factor, a, power coefficient, $C_p$, thrust force coefficient, $C_T$, thrust force, T and tangential flow induction factor, a', Blade Element Momentum (BEM) theory was used. According to the results obtained, during a year, probability density of turbines at a rotational speed of 16.1 rpm was determined as approximately 45%. Optimum tip speed ratio was calculated to be 7.12 for most efficient wind turbine. Maximum $C_p$ was found to be 30% corresponding to this tip speed ratio.

Business Cycle Consumption Risk and the Cross-Section of Stock Returns in Korea (경기순환주기 소비위험과 한국 주식 수익률 횡단면)

  • Kang, Hankil
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.4
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    • pp.98-105
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    • 2021
  • Using the frequency-based decomposition, I decompose the consumption growth to explain well-known patterns of stock returns in the Korean market. To be more specific, the consumption growth is decomposed by its half-life of shocks. The component over four years of half-life is called the business-cycle consumption component, and the components with half-lives under four years are short-run components. I compute the long-run and short-run components of stock excess returns as well and use component-by-component sensitivities to price stock portfolios. As a result, the business-cycle consumption risk with half-life of over four years is useful in explaining the cross-section of size-book-to-market portfolios and size-momentum portfolios in the Korean stock market. The short-run components have their own pricing abilities with mixed direction, so that the restricted one short-term factor model is rejected. The explanatory power with short- and long-run components is comparable to that of the Fama-French three-factor model. The components with one- to four-year half-lives are also helpful in explaining the returns. The results about the long-run components emphasize the importance of long-run component in consumption growth to explain the asset returns.

KSLV-I FTS 적용을 위한 UHF 전력분배기 설계 및 제작

  • Hwang, Soo-Sul;Lim, You-Chol;Lee, Jae-Deuk
    • Aerospace Engineering and Technology
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    • v.4 no.2
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    • pp.171-191
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    • 2005
  • This Technical Memo(TM) was written for the purpose of determining the type of UHF-band power divider which is applicable to KSLV-1. For this, some different kinds of power divider are compared with there types and characteristics. And then, we select three types of power divider(which is Wilkinson power divider, Quadrature hybrid divider and Ring hybrid divider) and perform Schematic and Momentum simulation for finding the optimized characteristics. With this results, in order to demonstrate the selected power divider, we manufactured UHF-band power dividers using FR-4 epoxy plate. By the measured results, we obtain the similar results compare with simulation and fabrication. And Quadrature hybrid power divider is suitable to application to KSLV-1.

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