• Title/Summary/Keyword: Latent period analysis

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Estimation of Land Surface Energy Fluxes using CLM and VIC model (CLM과 VIC 모형을 활용한 지표 에너지 플럭스 산정)

  • Kim, Daeun;Ray, Ram L.;King, Seokkoo;Choi, Minha
    • Journal of Wetlands Research
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    • v.18 no.2
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    • pp.166-172
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    • 2016
  • Accurate understanding of land surface is essential to analyze energy exchanges between earth surface and atmosphere. For the quantization of energy fluxes, the various researches about Land Surface Model(LSM) have been progressed. Among the various LSMs, the researches using Common Land Model(CLM) and Variable Infiltration Capacity(VIC) model are performed briskly. The CLM which is advanced LSM can calculate realistic results with few user defined parameters. The VIC model which is also typical LSM is widely used for estimation of energy fluxes and runoff in various fields. In this study, the energy fluxes which are net radiation, sensible heat flux, and latent heat flux were estimated using CLM and VIC model at Southern Sierra-Critical Zone Observatory(SS-CZO) site in California, United States. In case of net radiation and sensible heat flux, both models showed good agreement with observations, however, the CLM showed underestimated patterns of net radiation and sensible heat flux during precipitation period. In case of latent heat flux, the CLM represented better estimation of latent heat flux than VIC model which underestimated the latent heat flux. Through the estimation of energy fluxes and analysis of models' pros and cons, the applicability of CLM and VIC models and need of multi-model application were identified.

Public Sentiment Analysis and Topic Modeling Regarding COVID-19's Three Waves of Total Lockdown: A Case Study on Movement Control Order in Malaysia

  • Alamoodi, A.H.;Baker, Mohammed Rashad;Albahri, O.S.;Zaidan, B.B.;Zaidan, A.A.;Wong, Wing-Kwong;Garfan, Salem;Albahri, A.S.;Alonso, Miguel A.;Jasim, Ali Najm;Baqer, M.J.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.7
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    • pp.2169-2190
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    • 2022
  • The COVID-19 pandemic has affected many aspects of human life. The pandemic not only caused millions of fatalities and problems but also changed public sentiment and behavior. Owing to the magnitude of this pandemic, governments worldwide adopted full lockdown measures that attracted much discussion on social media platforms. To investigate the effects of these lockdown measures, this study performed sentiment analysis and latent Dirichlet allocation topic modeling on textual data from Twitter published during the three lockdown waves in Malaysia between 2020 and 2021. Three lockdown measures were identified, the related data for the first two weeks of each lockdown were collected and analysed to understand the public sentiment. The changes between these lockdowns were identified, and the latent topics were highlighted. Most of the public sentiment focused on the first lockdown as reflected in the large number of latent topics generated during this period. The overall sentiment for each lockdown was mostly positive, followed by neutral and then negative. Topic modelling results identified staying at home, quarantine and lockdown as the main aspects of discussion for the first lockdown, whilst importance of health measures and government efforts were the main aspects for the second and third lockdowns. Governments may utilise these findings to understand public sentiment and to formulate precautionary measures that can assure the safety of their citizens and tend to their most pressing problems. These results also highlight the importance of positive messaging during difficult times, establishing digital interventions and formulating new policies to improve the reaction of the public to emergency situations.

Participation in Housework Among 30-Somethings: A Latent Class Analysis (잠재계층분석을 통한 30대의 가사노동 참여 유형화)

  • Lee, hyunah;Kwon, Soonbum
    • Journal of Family Resource Management and Policy Review
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    • v.27 no.3
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    • pp.67-75
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    • 2023
  • This study will examine the changing nature of housework by analyzing participation in domestic work among 30-somethings according to generational and life cycle characteristics. To this end, 2,687 men and women in their 30s were taken from the 2020 Family Status Survey data, and a latent class analysis was conducted to categorize their participation in housework. The subjects were categorized into three groups: overall non-participation (18.05%), overall participation (59.96%), and intensive cleaning participation (21.99%). Gender, employment status, family life cycle, and attitudes about gender roles were significantly related to participation in housework. Men were more likely to be in the overall non-participation group, while women were more likely to be in the overall participation group. Individuals in the pre-formative period of the family life cycle were more likely to be in the overall non-participation group, while those in the formative and expanding periods were more likely to be in the overall participation group. The results of this study suggest that gender inequality in housework is common in the younger generation; the results also show that, in the same generation, individual participation in housework differs according to family life cycle.

Research Trend Analysis for Smart Grids Using Dynamic Topic Modeling (동적 토픽분석을 활용한 스마트그리드 연구동향 분석)

  • Na, Sang-Tae;Ahn, Joo-Eon;Jung, Min-Ho;Kim, Ja-Hee
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.4
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    • pp.613-620
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    • 2017
  • The power grid has been changed to a smart grid system to satisfy the growing need for power grid complexity, demand, reliability, security, and efficiency with a combination of existing power and ICT technology. This study analyzes the research trends in smart grid technology in the period since the introduction of the smart grid system and compares it with industrial trends to grasp the progress and characteristics of Smart Grid technology and look for ways to innovate the technology. To do this, we analyze the research trends using dynamic topic modeling, which is capable of time-series research topic analysis. Next, we compare the results of research trends with industrial trends analyzed by Gartner's experts to demonstrate that smart grid research is evolving to the level of industrialization. The results of this study are quantitative analysis through data mining, and it is expected that it will be used in many fields such as companies that want to participate in industry and government agencies that need to establish policies by showing more objective analysis results.

Development of the Prediction Method for Hospital Bankruptcy using a Hierarchical Generalized Linear Model(HGIM) (HGLM을 적용한 병원 도산 예측방법의 개발)

  • Noh, Maeng-Seok;Chang, Hye-Jung;Lee, Young-Jo
    • Korea Journal of Hospital Management
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    • v.6 no.2
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    • pp.22-36
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    • 2001
  • The hospital bankruptcy rate is increasing, therefore it is very important to predict the bankruptcy using the existing hospital management information. The hospital bankruptcy is often measured in year intervals, called grouped duration data, not by the continuous time elapsed to the bankruptcy. This study introduces a hierarchical generalized linear model(HGLM) for analysis of hospital bankruptcy data. The hazard function for each hospital may be influenced by unobservable latent variables, and these unknown variables are usually termed as random effects or frailties which explain correlations among repeated measures of the same hospital and describe individual heterogeneities of hospitals. Practically, the data of twenty bankrupt and sixty profitable hospitals were collected for five years, and were fitted to HGLM. The results were compared with those of the logit model. While the logit model resulted only in the effects of explanatory variables on the bankruptcy status at specific period, the HGLM showed variables with significant effects over all observed years. It is concluded that the HGLM with a fixed ratio and a period of total asset turnrounds was justified, and could find significant within and between hospital variations.

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Sea Level Variations at Kerguelen Island in the South Indian Ocean by the Satellite Data(ARGOS) and Meteorological Data(METEO)

  • Yoon, Hong-Joo
    • Korean Journal of Remote Sensing
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    • v.16 no.2
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    • pp.117-133
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    • 2000
  • We studied the sea level variations at Kerguelen island in the South Indian Ocean with ARGOS data and meteorological data during about 1 year(May 1993~April 1994) through using filter, spectral analysis, coherency and phase, and found characteristics for the two oceanic signal levels(detided oceanic signal level, h$_{detided}$ and seasonal oceanic level, h$_{corr.ib}$). The forms of atmospheric pressure variations are good agreed to between ARGOS data and meteorological data in the observed periods. This Kerguelen area shows the inflow of an air temperature(gain of a radiant heat) into the sea water and the stagnation of high atmospheric pressure bands in summer, and the outflow of a sea water temperature(loss of sensible and latent heat) toward the atmosphere and the stagnation of low atmospheric pressure bands in winter. The seasonal difference of sea level between summer and winter is about 1.6cm. Both the detided oceanic signal level(h$_{detided}$) variation and the inverted barometer level(h$_{ib}$) variation have a strong correlation for T>1day period bands. The characteristics of h$_{detided}$ variation are not decided by the influence of any meteorological distributions (atmospheric pressure), but the influence of other factors(bottom water temperature) for T>2days periods bands. h$_{corr.ib}$ plays a very important role of sea level variation in the observed periods (especially T>about 180days period bands).

Indefinite sustainability of passive residual heat removal system of small modular reactor using dry air cooling tower

  • Na, Min Wook;Shin, Doyoung;Park, Jae Hyung;Lee, Jeong Ik;Kim, Sung Joong
    • Nuclear Engineering and Technology
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    • v.52 no.5
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    • pp.964-974
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    • 2020
  • The small modular reactors (SMRs) of the integrated pressurized water reactor (IPWR) type have been widely developed owing to their enhanced safety features. The SMR-IPWR adopts passive residual heat removal system (PRHRS) to extract residual heat from the core. Because the PRHRS removes the residual heat using the latent heat of the water stored in the emergency cooldown tank, the PRHRS gradually loses its cooling capacity after the stored water is depleted. A quick restoration of the power supply is expected infeasible under station blackout accident condition, so an advanced PRHRS is needed to ensure an extended grace period. In this study, an advanced design is proposed to indirectly incorporate a dry air cooling tower to the PRHRS through an intermediate loop called indefinite PRHRS. The feasibility of the indefinite PRHRS was assessed through a long-term transient simulation using the MARS-KS code. The indefinite PRHRS is expected to remove the residual heat without depleting the stored water. The effect of the environmental temperature on the indefinite PRHRS was confirmed by parametric analysis using comparative simulations with different environmental temperatures.

A Short-Term Longitudinal Investigation of Pre- and Postnatal Depressive Symptoms of Korean Women (산전후 우울 변화 - 성장혼합모형을 이용한 단기종단연구)

  • Shin, Na-Ry
    • Journal of the Korean Home Economics Association
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    • v.49 no.9
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    • pp.59-72
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    • 2011
  • This study examined whether there are underlying latent classes of growth trajectories of maternal depression in the Korean population. Data from the first phase of the Panel Study of Korean Children (PSKC) of the Institute of Child Care and Education (KICCE) were used for this study. The final sample of participants included 1,471 mothers, who completed three interviews: at birth, at one month, and at four months. A two-class model consisting of depression (12.3%) and non-depression (87.7%) was considered the best-fitting solution using Mplus 3.13. The changes in postnatal depression in the Korean population within four weeks after childbirth, which is the period of "postpartum onset", seem to be important. Logistic regression analysis showed that duration of breast-feeding and planned pregnancy effects were significantly associated with trajectory class membership.

What Can Proteomics Tell Us about Tuberculosis?

  • Susana Flores-Villalva;Elba Rogriguez-Hernandez;Yesenia Rubio-Venegas;Jorge Germinal Canto-Alarcon;Feliciano Milian-Suazo
    • Journal of Microbiology and Biotechnology
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    • v.25 no.8
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    • pp.1181-1194
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    • 2015
  • Tuberculosis (TB) is an infectious disease transmitted by aerosol droplets and characterized by forming granulomatous lesions. Although the number of people infected in the population is high, the vast majority does not exhibit symptoms of active disease and only 5-10% develop the disease after a latent period that can vary from weeks to years. The bases of the immune response for this resistance are unknown, but it depends on a complex interaction between the environment, the agent, and the host. The analysis of cellular components of M. tuberculosis shows important host-pathogen interactions, metabolic pathways, virulence mechanisms, and mechanisms of adaptation to the environment. However, the M. tuberculosis proteome still remains largely uncharacterized in terms of virulence and pathogenesis. Here, we summarize some of the major proteomic studies performed to scrutinize all the mycobacterial components.

Analysis of performance and combustion characteristics of D.O./butanol blended fuels in a diesel engine (디젤기관에서 경유/부탄올 혼합연료의 기관성능 및 연소특성 해석)

  • KIM, Sang-Am;WANG, Woo-Gyeong
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.55 no.4
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    • pp.411-418
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    • 2019
  • In this study, to investigate the effect of physical and chemical properties of butanol on the engine performance and combustion characteristics, the coefficient of variations of IMEP (indicated mean effective pressure) and fuel conversion efficiency were obtained by measuring the combustion pressure and the fuel consumption quantity according to the engine load and the mixing ratio of diesel oil and butanol. In addition, the combustion pressure was analyzed to obtain the pressure increasing rate and heat release rate, and then the combustion temperature was calculated using a single zone combustion model. The experimental and analysis results of butanol blending oil were compared with the those of diesel oil under the similar operation conditions to determine the performance of the engine and combustion characteristics. As a result, the combustion stabilities of D.O. and butanol blending oil were good in this experimental range, and the indicated fuel conversion efficiency of butanol blending oil was slightly higher at low load but that of D.O. was higher above medium load. The premixed combustion period of D.O. was almost constant regardless of the load. As the load was lower and the butanol blending ratio was higher, the premixed combustion period of butanol blending oil was longer and the premixed combustion period was almost constant at high load regardless of butanol blending ratio. The average heat release rate was higher with increasing loads; especially as butanol blending ratio was increased at high load, the average heat release rate of butanol blending oil was higher than that of D.O. In addition, the calculated maximum. combustion temperature of butanol blending oil was higher than that of D.O. at all loads.