• Title/Summary/Keyword: CASA model

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The Architectural Languages of Ricardo Legorreta in the Gallery of Casa del Agua as Dwelling of Water (물의 주거로서 더 갤러리 카사 델 아구아에 구현된 리카르도 레고레타의 건축언어)

  • Kim, Hyoung-Jun
    • Journal of the Korean housing association
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    • v.25 no.2
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    • pp.37-44
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    • 2014
  • The Gallery of Casa del Agua in Jeju Island was demolished by Jeju local government on March 6 in the last year. In the meanwhile, a lot of people including the architectural field had denied the demolition. Regardless of sustained efforts in order that the building could be preserved as a work, Jeju government ended up with demolishing the gallery. The Gallery of Casa del Agua was a temporary building constructed as a model house of Casa del Agua. As the remaining period of the temporary building had passed, it was on the verge of demolition by Jeju government. Casa del Agua is 'dwelling of water' in Korean, and the building was the last posthumous work of Mexican architect Ricardo Legorreta. Knowing from the expression of 'dwelling of water', this house is a dwelling work of him. Through this work, his architecture languages that he had pursued contained in dwelling could be looked into. This study examined the background and course of demolition of the Gallery of Casa del Agua, 'dwelling of water' and arranged problems in the course of demolition. Then, the fact that the Gallery of Casa del Agua as an architecture work of Ricardo Legorreta included his architecture languageswas analyzed. For this, his universalarchitecture languages were examined and how the architecture languages were applied to the Gallery of Casa del Agua was analyzed. As a result, it could be known that languages of composition and languages of emotion consistently shown in his works were represented in the Gallery of Casa del Agua.

A CASA-Based Dynamic Access Control Scheme for Ubiquitous Environments (유비쿼터스 환경을 위한 CASA 기반의 동적 접근 제어 기법)

  • Kim, Kyoung-Ja;Chang, Tae-Mu
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.4
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    • pp.205-211
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    • 2008
  • Conventional context-aware service models permit the access of resources only by user authentication, but the ubiquitous environments where the context information around users is changing frequently require the resource access control according to the rapid changes. This paper proposes a scheme to control access permission of resource dynamically as context information of user changes. Our access control model is based on traditional CASA (Context-Aware Security Architecture), but can restrict the access of the user already has been authorized. With the real-time checking of context information, our scheme gives different access controls according to changes in environmental information, and provides more secure services than conventional context-aware models.

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Prediction of Rice Yield in Korea using Paddy Rice NPP index - Application of MODIS data and CASA Model - (논벼 NPP 지수를 이용한 우리나라 벼 수량 추정 - MODIS 영상과 CASA 모형의 적용 -)

  • Na, Sang Il;Hong, Suk Young;Kim, Yi Hyun;Lee, Kyoung Do;Jang, So Young
    • Korean Journal of Remote Sensing
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    • v.29 no.5
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    • pp.461-476
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    • 2013
  • Carnegie-Ames-Stanford Approach (CASA) model is one of the most quick, convenient and accurate models to estimate the NPP (Net Primary Productivity) of vegetation. The purposes of this study are (1) to examine the spatial and temporal patterns of vegetation NPP of the paddy field area in Korea from 2002 to 2012, and (2) to investigate how the rice productivity responded to inter-annual NPP variability, and (3) to estimate rice yield in Korea using CASA model applied to MOderate Resolution Imaging Spectroradiometer (MODIS) products and solar radiation. MODIS products; MYD09 for NIR and SWIR bands, MYD11 for LST, MYD15 for FPAR, respectively from a NASA web site were used. Finally, (4) its applicability is to be reviewed. For those purposes, correlation coefficients (linear regression for monthly NPP and accumulated NPP with rice yield) were examined to evaluate the spatial and temporal patterns of the relations. As a result, the total accumulated NPP and Sep. NPP tend to have high correlation with rice yield. The rice yield in 2012 was estimated to be 526.93kg/10a by accumulated NPP and 520.32 kg/10a by Sep. NPP. RMSE were 9.46kg/10a and 12.93kg/10a, respectively, compared with the yield forecast of the National Statistical Office. This leads to the conclusion that NPP changes in the paddy field were well reflected rice yield in this study.

Estimation of Corn and Soybean Yields Based on MODIS Data and CASA Model in Iowa and Illinois, USA

  • Na, Sangil;Hong, Sukyoung;Kim, Yihyun;Lee, Kyoungdo
    • Korean Journal of Soil Science and Fertilizer
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    • v.47 no.2
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    • pp.92-99
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    • 2014
  • The crop growing conditions make accurate predictions of yield ahead of harvest time difficult. Such predictions are needed by the government to estimate, ahead of time, the amount of crop required to be imported to meet the expected domestic shortfall. Corn and soybean especially are widely cultivated throughout the world and a staple food in many regions of the world. On the other hand, the CASA (Carnegie-Ames-Stanford Approach) model is a process-based model to estimate the land plant NPP (Net Primary Productivity) based on the plant growing mechanism. In this paper, therefore, a methodology for the estimation of corn/soybean yield ahead of harvest time is developed specifically for the growing conditions particular to Iowa and Illinois. The method is based on CASA model using MODIS data, and uses Net Primary Productivity (NPP) to predict corn/soybean yield. As a result, NPP at DOY 217 (in Illinois) and DOY 241 (in Iowa) tend to have high correlation with corn/soybean yields. The corn/soybean yields of Iowa in 2013 was estimated to be 11.24/3.55 ton/ha and Illinois was estimated to be 10.09/3.06 ton/ha. Errors were 6.06/17.58% and -10.64/-7.07%, respectively, compared with the yield forecast of the USDA. Crop yield distributions in 2013 were presented to show spatial variability in the state. This leads to the conclusion that NPP changes in the crop field were well reflected crop yield in this study.

Studies on the use of computer aided semen analysis(CASA) technology for fertility prediction in Korean native cattle (한우에서 Computer aided semen analysis(CASA) 기법을 이용한 수태율 예측에 관한 연구)

  • Lee, Kang-nam;Lee, Byeong-chun;Hwang, Woo-suk
    • Korean Journal of Veterinary Research
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    • v.38 no.4
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    • pp.882-897
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    • 1998
  • This experiment was conducted to predict the effects of motional characteristics on the fertility of Korean native cattle(KNC) by using CASA technology and in vitro fertilization system. Twenty-six KNC frozen semen straws were obtained from Korean KNC improvement department, livestock improvement main division, national livestock cooperatives federation in Korea. Specimens were allowed to thaw at $37^{\circ}C$ for 30 sec in water bath. Semen analysis was performed on semen image analysis system(SIAS, Medical supply, Korea) adjusted to the gate settings and used the semen droplet ($5{\mu}l$) placed on Makler counting chamber(Sefi medical instrument, Israel) prewarmed at $37^{\circ}C$. The same person used the same micropipette to fill the Makler counting chamber. A total of 150 or more of sperms were analysed in each specimen by a single trained person by scanning at least 5 to 10 fields. The oocytes collection, in vitro maturation, IVF, in vitro culture and determination of the cleavage rate were performed by the technique, as described by Hwang et al (1997). Statistical analysis was done by linear regression with use of the Sigma plot program on a IBM personal computer. The cleavage rate in vitro fertilized oocyte was significantly correlated(P<0.05) with MOT, VCL, VSL, VAP, ALH, BCF and MAD, but not CON, LIN, STR, WOB, DNM, DNC and HYP in regressional analysis. The results show that some kinematic characteristics of frozen-thawed semen by CASA can be predict the fertility in in vitro model system.

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Impact Assessment of Forest Development on Net Primary Production using Satellite Image Spatial-temporal Fusion and CASA-Model (위성영상 시공간 융합과 CASA 모형을 활용한 산지 개발사업의 식생 순일차생산량에 대한 영향 평가)

  • Jin, Yi-Hua;Zhu, Jing-Rong;Sung, Sun-Yong;Lee, Dong-Ku
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.20 no.4
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    • pp.29-42
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    • 2017
  • As the "Guidelines for GHG Environmental Assessment" was revised, it pointed out that the developers should evaluate GHG sequestration and storage of the developing site. However, the current guidelines only taking into account the quantitative reduction lost within the development site, and did not consider the qualitative decrease in the carbon sequestration capacity of forest edge produced by developments. In order to assess the quantitative and qualitative effects of vegetation carbon uptake, the CASA-NPP model and satellite image spatial-temporal fusion were used to estimate the annual net primary production in 2005 and 2015. The development projects between 2006 and 2014 were examined for evaluate quantitative changes in development site and qualitative changes in surroundings by development types. The RMSE value of the satellite image fusion results is less than 0.1 and approaches 0, and the correlation coefficient is more than 0.6, which shows relatively high prediction accuracy. The NPP estimation results range from 0 to $1335.53g\;C/m^2$ year before development and from 0 to $1333.77g\;C/m^2$ year after development. As a result of analyzing NPP reduction amount within the development area by type of forest development, the difference is not significant by type of development but it shows the lowest change in the sports facilities development. It was also found that the vegetation was most affected by the edge vegetation of industrial development. This suggests that the industrial development causes additional development in the surrounding area and indirectly influences the carbon sequestration function of edge vegetaion due to the increase of the edge and influx of disturbed species. The NPP calculation method and results presented in this study can be applied to quantitative and qualitative impact assessment of before and after development, and it can be applied to policies related to greenhouse gas in environmental impact assessment.

Identification of sperm motility subpopulations in Gyr falcon (Falco rusticolus) ejaculate: a tool for investigating between subject variation

  • Seyedasgari, Fahimeh;Asadi, Behnam;Sebastyen, Sandor;Guillen, Roberto
    • Journal of Animal Reproduction and Biotechnology
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    • v.37 no.3
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    • pp.193-201
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    • 2022
  • Subgroups of sperm which share similar motility features documented in mammals indicate between-subject variations that might be related to fertilizing potential of the respective ejaculates. The objectives of this study were to define subpopulations of motile sperm in Gyr falcon semen using kinematic parameters driven by Computer Assisted Semen Analysis (CASA) and to investigate the subject-related variations in these subpopulations. A total of 24 fresh ejaculates from 6 falcons were used to assign each of the 20473 sperms into 3 subpopulations by a multivariate cluster analysis. The proportion of sperms in different sub-populations were compared among subjects by a generalized linear model and repeatability of sperm frequency in different subpopulations was investigated by corelation analysis. The resulting 3 categories of sperm indicated significant differences in all kinematic parameters (p < 0.05). Subpopulation 1 (15.91%) contained sperms with the highest velocity and progressiveness of movement trajectory while subpopulation 3 (6.4%) included the least progressively motile sperms. Proportion of rapid and medium progressive sperm were consistently higher in the ejaculate of three falcons compared to the two other birds which also had the highest proportion of slow non-progressive sperms (p < 0.05). Respective proportion of sperms in each subpopulations indicated significant repeatability over multiple measurements (p < 0.05). In conclusion, subpopulations of motile sperm in Gyr falcon can be identified using kinematic parameters generated by CASA. Individual differences in the proportion of these subpopulations might have potential application for identifying the males with higher fertilizing capacity.

A Study on Security Model Design of Adaptive Access Control based Context-Aware (상황인식 기반 적응적 접근제어 보안모델 설계에 관한 연구)

  • Kim, Nam-Il;Kim, Chang-Bok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.5
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    • pp.211-219
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    • 2008
  • This paper is proposed context-aware based access control, model by extending original access control model. In this paper, we survey the recent researches about security model based context-aware such as xoRBAC and CAAC. For exactly policy evaluation, we make an addition Context Broker and Finder in existing CAAC security model. By this security model, Context information and context decision information is able to be collected easily for more correct policy decision. This paper controlled access of possible every resources that is able to access by user's event and constraint from primitive access resources. In this paper proposed security model can be offer dynamically various security level and access authority method alone with specified policy and constraint adjustment at user's role.

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Separation of Single Channel Mixture Using Time-domain Basis Functions

  • Jang, Gil-Jin;Oh, Yung-Hwan
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.4E
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    • pp.146-155
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    • 2002
  • We present a new technique for achieving source separation when given only a single charmel recording. The main idea is based on exploiting the inherent time structure of sound sources by learning a priori sets of time-domain basis functions that encode the sources in a statistically efficient manner. We derive a learning algorithm using a maximum likelihood approach given the observed single charmel data and sets of basis functions. For each time point we infer the source parameters and their contribution factors. This inference is possible due to the prior knowledge of the basis functions and the associated coefficient densities. A flexible model for density estimation allows accurate modeling of the observation, and our experimental results exhibit a high level of separation performance for simulated mixtures as well as real environment recordings employing mixtures of two different sources. We show separation results of two music signals as well as the separation of two voice signals.

Separation of Single Channel Mixture Using Time-domain Basis Functions

  • 장길진;오영환
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.4
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    • pp.146-146
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    • 2002
  • We present a new technique for achieving source separation when given only a single channel recording. The main idea is based on exploiting the inherent time structure of sound sources by learning a priori sets of time-domain basis functions that encode the sources in a statistically efficient manner. We derive a learning algorithm using a maximum likelihood approach given the observed single channel data and sets of basis functions. For each time point we infer the source parameters and their contribution factors. This inference is possible due to the prior knowledge of the basis functions and the associated coefficient densities. A flexible model for density estimation allows accurate modeling of the observation, and our experimental results exhibit a high level of separation performance for simulated mixtures as well as real environment recordings employing mixtures of two different sources. We show separation results of two music signals as well as the separation of two voice signals.