• 아시안잔디학회지
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• 제10권3호
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• pp.247-262
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• 1996

In this study, the distribution of dictyostelid cellular slime molds was investigated from F, H and $A_1$ horizon of pinus, oak forests in Mt. Puk'an, Mt. Nam and Mt. Kwanak. The relationship of cellular slime molds with other soil microorganisms and abiotic factors were analyzed. The six species were isolated as follows: Polysphondlium pallidurn, Dictyostelium purpureum, D. mucoroides, D. crassicaule, D. capitatum, D. implicatum. The dominant species in pinus forests was P. pallidum, and in oak forests it was D. macro ides. In Mt. Nam, D. mucoroides and P. pallidum were isolated at only oak forest. The Correlations of slime mold abundance with bacteria were significant. Even though positive correlations of cellular slime molds with actinomycetes or fungi were not significant, correlations between soil microorganisms were analyzed. Correlation coefficients were high in Mt. Kwanak(r=0.5921) and Mt. Nam(r=0.7243) at significant level P<0.01. There were significant correlations between total slime molds and abiotic factors. It supports that cellular slime molds are limited by foods in nature. In low level of pH, water content and organic matter, that community diversity is more affected by bacteria whose organic degradation capacity is regulated by interactions of soil microorgaisms. Key words: Cellular slime molds, Soil microorganisms, Correlations, Abiotic factors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권8호
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• pp.3984-4005
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• 2017

Image recognition has become an increasingly important topic for its wide application. It is highly challenging when facing to large-scale database with large variance. The recognition systems rely on a key component, i.e. the low-level feature or the learned mid-level feature. The recognition performance can be potentially improved if the data distribution information is exploited using a more sophisticated way, which usually a function over hidden variable, model parameter and observed data. These methods are called generative score space. In this paper, we propose a discriminative extension for the existing generative score space methods, which exploits class label when deriving score functions for image recognition task. Specifically, we first extend the regular generative models to class conditional models over both observed variable and class label. Then, we derive the mid-level feature mapping from the extended models. At last, the derived feature mapping is embedded into a discriminative classifier for image recognition. The advantages of our proposed approach are two folds. First, the resulted methods take simple and intuitive forms which are weighted versions of existing methods, benefitting from the Bayesian inference of class label. Second, the probabilistic generative modeling allows us to exploit hidden information and is well adapt to data distribution. To validate the effectiveness of the proposed method, we cooperate our discriminative extension with three generative models for image recognition task. The experimental results validate the effectiveness of our proposed approach.

• Wind and Structures
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• 제19권4호
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• pp.421-441
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• 2014

With the assistance of typhoon field data at aerial elevation level observed by meteorological satellites and wind velocity and direction records nearby the ground gathered in Guangzhou Weather Station between 1985 and 2001, some key wind field parameters under typhoon climate in Guangzhou region were calibrated based on Monte-Carlo stochastic algorithm and Meng's typhoon numerical model. By using Peak Over Threshold method (POT) and Generalized Pareto Distribution (GPD), Wind field characteristics during typhoons for various return periods in several typical engineering fields were predicted, showing that some distribution rules in relation to gradient height of atmosphere boundary layer, power-law component of wind profile, gust factor and extreme wind velocity at 1-3s time interval are obviously different from corresponding items in Chinese wind load Codes. In order to evaluate the influence of typhoon field parameters on long-span flexible bridges, 1:100 reduced-scale wind field of type B terrain was reillustrated under typhoon and normal conditions utilizing passive turbulence generators in TJ-3 wind tunnel, and wind-induced performance tests of aero-elastic model of long-span Guangzhou Xinguang arch bridge were carried out as well. Furthermore, aerodynamic admittance function about lattice cross section in mid-span arch lib under the condition of higher turbulence intensity of typhoon field was identified via using high-frequency force-measured balance. Based on identified aerodynamic admittance expressions, Wind-induced stochastic vibration of Xinguang arch bridge under typhoon and normal climates was calculated and compared, considering structural geometrical non-linearity, stochastic wind attack angle effects, etc. Thus, the aerodynamic response characteristics under typhoon and normal conditions can be illustrated and checked, which are of satisfactory response results for different oncoming wind velocities with resemblance to those wind tunnel testing data under the two types of climate modes.

• 한국음향학회지
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• 제39권5호
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• pp.424-434
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• 2020

본 논문은 콘텐츠 플랫폼에서 절대음량을 산출하는 알고리즘을 서술한다. 절대음량은 개별 음원을 대표하는 하나의 음량이며, 실용적인 범위 내에서, 음원파일 자체의 디지털 영역과 스피커로 출력되는 물리 영역의 음량단위를 통합하여 활용할 수 있도록 설계한 개념이다. 이 개념이 콘텐츠 플랫폼 등에서 실제로 활용되기 위해서는 마스터링 엔지니어의 청음을 거치지 않아도, 자동으로 절대음량 수치를 도출할 수 있어야 한다. 사람이 개별 단일 음원의 대표 음량을 인지하는 핵심 파라미터는 "주파수, 최대에너지, 에너지 변동 계수, 인지가중 에너지 분포도" 영역이며, 가중치 정규화를 통하여 절대음량 수치를 산출하였다.

• International Journal of Human Ecology
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• 제9권2호
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• pp.117-126
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• 2008

The study identifies gender stereotypes, examines the level of women's economic empowerment at the household level and explores the influence of factors on it. Data were collected from 159 randomly selected farm women using both qualitative and quantitative survey methods between January and March 2007 from three villages of the Mymensingh District of Bangladesh. Four key informants (2 local leaders and 2 development personnel) were questioned to elicit views in the light of boosting women's empowerment. Five constructs of empowerment covering 30 indicators were aggregated together to develop a cumulative economic empowerment index (CEEI) to obtain multidimensional views of women's empowerment. The findings show that there were some prejudices against women in allocating divisions of labour and access to education, food, property, decision-making and institutions. The distribution of the CEEI demonstrates that the majority of the respondents (86%) had a low to moderate level of empowerment. A multiple regression analysis showed positive significant effects of education, training, media contact and freedom of mobility on women's CEEI, while domestic abuse restrained it. It is concluded that interventions by development agencies in co-ordination with the local community was necessary to attain women's self-reliance in the study area. Development actors can undertake some core strategies to enhance women's level of awarencess, knowledge, skills, and productive resources through providing training, loans, and information. To change traditional beliefs, it is important to create awareness of various gender issues amongst rural people through different methods and media.

• 유통과학연구
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• 제13권5호
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• pp.53-60
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• 2015

Purpose - The purpose of this paper is to shed light on the importance of the slope and curvature of the volatility curve implied in option prices in the KOSPI 200 options index. A number of studies examine the implied volatility curve, however, these usually focus on cross-sectional characteristics such as the volatility smile. Contrary to previous studies, we focus on time-series characteristics; we investigate correlation dynamics among slope, curvature, and level of the implied volatility curve to capture market information embodied therein. Our study may provide useful implications for investors to utilize current market expectations in managing portfolios dynamically and efficiently. Research design, data, and methodology - For our empirical purpose, we gathered daily KOSPI200 index option prices executed at 2:50 pm in the Korean Exchange distribution market during the period of January 2, 2004 and January 31, 2012. In order to measure slope and curvature of the volatility curve, we use approximated delta distance; the slope is defined as the difference of implied volatilities between 15 delta call options and 15 delta put options; the curvature is defined as the difference between out-of-the-money (OTM) options and at-the-money (ATM) options. We use generalized method of moments (GMM) and the seemingly unrelated regression (SUR) method to verify correlations among level, slope, and curvature of the implied volatility curve with statistical support. Results - We find that slope as well as curvature is positively correlated with volatility level, implying that put option prices increase in a downward market. Further, we find that curvature and slope are positively correlated; however, the relation is weakened at deep moneyness. The results lead us to examine whether slope decreases monotonically as the delta increases, and it is verified with statistical significance that the deeper the moneyness, the lower the slope. It enables us to infer that when volatility surges above a certain level due to any tail risk, investors would rather take long positions in OTM call options, expecting market recovery in the near future. Conclusions - Our results are the evidence of the investor's increasing hedging demand for put options when downside market risks are expected. Adding to this, the slope and curvature of the volatility curve may provide important information regarding the timing of market recovery from a nosedive. For financial product distributors, using the dynamic relation among the three key indicators of the implied volatility curve might be helpful in enhancing profit and gaining trust and loyalty. However, it should be noted that our implications are limited since we do not provide rigorous evidence for the predictability power of volatility curves. Meaning, we need to verify whether the slope and curvature of the volatility curve have statistical significance in predicting the market trough. As one of the verifications, for instance, the performance of trading strategy based on information of slope and curvature could be tested. We reserve this for the future research.

• 한국유통학회지:유통연구
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• 제3권1호
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• pp.123-143
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• 1998

The aim of this paper is to investigate the women's apparel distribution channel in the well-known department stores located in the central Seoul area. Since the department store has its reputation, information and enormous buying power, it is the one of the major leading retails in the women's apparel industry. In doing so, the relationship between the channel members in terms of the level of dependence, power sources and perceived conflict and manifest conflict has been studied. Particularly, based on French and Raven's power sources, position source is added. It refers to a channel member's (Merchandizer in the department store) source over another based on the expection the former (Merchandizer in the department store) will be able to allocate the location and size of the store influencing the latter's sale and profit. The key informants are the merchandizers who work in the apparel companies contracting with major department stores. Finally, of the 284 questionnaires collected, 235 are usable. The hypotheses are tested through LISREL. The results of statistical analysis support that : Dependence has a positive effect on noncoercive bases of power. Coercive bases of power have a positive effect on manifest conflict as well as perceived conflict while noncoercive bases of power have a negative effect mainly on manifest conflict. Thus, the relation between the major department stores and the women's apparel companies in there seems to have bilateral dependence rather than highly unilateral dependence.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권3호
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• pp.522-538
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• 2013

Content based image retrieval has become an increasingly important research topic for its wide application. It is highly challenging when facing to large-scale database with large variance. The retrieval systems rely on a key component, the predefined or learned similarity measures over images. We note that, the similarity measures can be potential improved if the data distribution information is exploited using a more sophisticated way. In this paper, we propose a similarity measure learning approach for image retrieval. The similarity measure, so called Fisher kernel, is derived from the probabilistic distribution of images and is the function over observed data, hidden variable and model parameters, where the hidden variables encode high level information which are powerful in discrimination and are failed to be exploited in previous methods. We further propose a discriminative learning method for the similarity measure, i.e., encouraging the learned similarity to take a large value for a pair of images with the same label and to take a small value for a pair of images with distinct labels. The learned similarity measure, fully exploiting the data distribution, is well adapted to dataset and would improve the retrieval system. We evaluate the proposed method on Corel-1000, Corel5k, Caltech101 and MIRFlickr 25,000 databases. The results show the competitive performance of the proposed method.

• KIEAE Journal
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• 제9권5호
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• pp.105-113
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• 2009

Daylighting provides the opportunity for both energy savings and improved visual comfort. An accurate estimation of the amount of daylight entering a building is the key step for daylight designing. This research aims to assess comparative daylighting performance of four different configurations of fenestration in case of unilateral windows and their variation under clear and overcast sky conditions. The selected window openings in this study were single punched, double punched, multiple punched and clerestory, and the area was same for each type of window. The experiment was designed for an office space using 1/10 scale model. Daylighting performance was evaluated by measuring the illuminance on work-plane height using Agilent data logger and photometric sensor Li-Cor. Thecomputer program ECOTECT was also used to simulate the pattern of interior illuminance distribution. Clerestory window showed the best performance in term of both illuminance level and distribution in the experiment. Multiple punched window provided more uniform illuminance distribution than single punched window. Lowest daylighting performance in the experiment was shown by double punched window.

• Journal of Chest Surgery
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• 제32권5호
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• pp.442-447
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• 1999

서론: 성장기에서 기관의 성장양상에 관한 이해는 수많은 기관질병의 관리나 선천성 기관협착증에서 기관 성형술 등에서 매우 중요한 지표가 된다. 그러나 이에 관한 국내의 연구례가 거의없는 실정이다. 본 연구는 한국인 소아에서 기관의 내경과 단면적을 후향적으로 분석하여 기관질환의 치료에 기초자료를 제공하고자 한다. 대상 및 방법: 1996년 5월부터 1998년 8월까지 흉부전산화 단층촬영을 시행한 0세부터 20세까지 106명의 환자를 대상으로 하였는데 기관의 내경이나 단면적에 영향을 줄 수 있는 기관질환, 과거에 개흉술을 받은 경우, 종격동 종양, 폐쇄성 폐질환이 있는 경우는 본 연구에서 제외시켰다. 남자가 69명, 여자가 37명이었으며 기관의 종단내경과 횡단내경은 흉부유입부와 대동맥궁 부위에서 각각 측정하였다. 기관의 형태는 각 부위의 단면에서 원형, 타원형, 말발굽형으로 구분하였으며 단면적은 A = 1/4$\pi$ab (A: 단면적, $\pi$: 3.14, a: 종단내경, b: 횡단내경)의 공식으로 계산하여 각 부위의 내경과 연령 및 성별에 따른 단면적을 비교 분석하였다. 통계처리에서 p값이 0.05이하일 때 통계적 의미가 있는 것으로 간주하였다. 결과: 5세이하에서는 level I과 II 모두에서 기관의 형태가 원형을 이루고 있었으며 두 부위간의 단면적의 차이는 없었다. 성장함에 따라 level I의 형태는 타원형으로 변해가는 반면 level II에서는 그대로 원형을 유지하고 있었으며 level I의 단면적이 level II 보다 크다(p=0.020). 기관의 내경과 단면적은 성장함에 따라 직선관계로 증가한다는 것이 확인되었고(r>0.9), 5세이하의 소아에서는 여자가 남자보다 기관의 단면적이 크고 (p=0.020) 15세가 넘으면 반대로 남자가 더 크다 (p=0.002). 결론: 이상의 결과에서 흉부전산화 단층촬영은 기관의 내경과 단면적을 측정하는데 있어 안전하고 확실한 방법이며 성장기의 한국인에서 기관의 내경과 단면적에 대한 지표가 되고자 한다.