• Title/Summary/Keyword: Development factor

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Recommended Practice for Demand Factor using Regression Analysis Theory depending on Power Consumption Characteristics in General Hospitals (종합병원의 전력소비 특성을 고려한 회귀분석이론을 이용한 수용률 기준 설정)

  • Kim, Se-Dong;Shin, Hyo-Seop;Kim, Soo-Gil;Oh, Kie-Bong
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2005.11a
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    • pp.233-237
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    • 2005
  • It is increased electrical energy consumption with the development of intelligence society in the general hospitals and thus an energy conservation through efficient use of electricity became more important. This paper shows a reasonable design demand factor in office buildings, that was made by the systematic and statistical way considering actual conditions, such as investigated electric equipment capacity, peak power consumption, demand factor, etc., for 32 general hospitals and 9 electrical design offices. In this dissertation, it is necessary to analyse the key features and general trend from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and thus it was carried linear and nonlinear regression analysis.

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A Study on the Distribution of the Deterioration Factor for Three Pollutants in Motor Vechicle Emission Test (자동차(自動車) 배출(排出)가스 시험(試驗)에서 3 공해요소(公害要素)에 대한 변화요인(變化要因) (DF) 분포(分布)에 관한 연구(硏究))

  • Jo, Jae-Rip;Hwang, Ui-Cheol
    • Journal of Korean Society for Quality Management
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    • v.15 no.2
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    • pp.2-9
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    • 1987
  • The Deterioration Factor (DF) for a single pollutant within an engine family is computed as the ratio of two points on a linear regression line describing durability vehicle test results as a function of accumulated mileage. It is inteded to represent the factor by which emissions will increase during the ''useful life" of a vehicle in the engine family. Here are discribed procedures for computing the DF and how consideration of the DF is included in the development for the motor vehicle emission certification process. This paper is aimed to develop the distribution of the DF for three pollutant and to estimate the parameter values for the distribution of the DF.

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TERATOGENICITY STUDY OF RECOMBINANT GRANULOCYTE-MACROPHAGE COLONY STIMULATING FACTOR (LBD-005) IN RABBITS

  • Chung, Moon-Koo;Han, Sang-Seop;Roh, Jung-Koo
    • Toxicological Research
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    • v.9 no.1
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    • pp.61-67
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    • 1993
  • LBD-005, a newly developed recombinant granulocyte-macrophage colony-stimulating factor, was at dose levels of 0, 20, 80 and 320ng/kg/day administered subcutaneously to pregnat New Zealand White rabbits during the organogenetic period. The dams were subjected to caesarean section on day 28 of pregnancy. Effects of test substance on dams and embryonal development of fetuses were examined. No treatment-related changes in clinical signs and necropsy findings of dams were observed in all groups. At 80 and 320 ng/kg, a significant decrease in food consumption followed by a loss in body weight was found.

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The Study on Subjectivity of Job Values about Senior Student of EMT Dept (일부 응급구조과 3학년생의 직업 가치관에 관한 연구)

  • Oh, Jin-Hwan;Lee, In-Soo
    • The Korean Journal of Emergency Medical Services
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    • v.9 no.1
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    • pp.133-144
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    • 2005
  • Purpose : The purpose of this study was to explore the structure and characteristics of job values about senior student of EMT Dept. Method : A Q-methodology was used to identify factors in job values. A Q-sample was collected from in-depth and objective interviews and literature reviews. A P-sample was composed of 31 EMT students. Result : Results revealed three factors; Self achievement-oriented, stability-oriented, and aptitude-oriented. The 'self achievement-oriented' factor was characterized by preference of achievement, worth, and activity in choosing occupation. The 'stability-oriented' factor was focused on security of retirement age, pay, compensation, and lifelong job. The 'aptitude-oriented' factor was showed aptitude, interesting in choosing occupation. Conclusion : We evaluated that these results was used as useful data for the development of curriculum and guidance of choosing occupation.

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Development of a TFM load calculation program based on thermal response factor (열응답계수를 이용한 TFM 부하계산법의 제안)

  • 최우영;고철균;이재헌;류해성
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.11 no.5
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    • pp.684-691
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    • 1999
  • A load calculation program based on TFM(Transfer function method) has been proposed in this study. The validity of the current method has been verified by comparing heat gain calculation by TRF(Thermal response factor) with that by CTF(Conduction transfer function) adopted in ASHRAE. In addition, it seems that the CTF coefficients given in ASHRAE tables have somewhat ambiguity The load calculation program developed in the current study has been employed to calculate cooling load from the exterior walls and roof of example 6 in the ASHRAE. The results are found in good agreement.

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Development of Model for the Alternative Selection of Port Privatization (항만 민영화 대안 선정을 위한 모형개발)

  • Baek, In-Hum
    • Journal of Fisheries and Marine Sciences Education
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    • v.26 no.6
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    • pp.1442-1450
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    • 2014
  • The aim of this study is to develop a model for the alternative selection in port privatization using Brainstorming, the ISM and AHP methods. For this, 30 detailed attributing factors were identified by both previous studies and port users, Also, 13 attributing evaluation factors were identified by a group of port experts using the brainstorming method. These were made into a model of hierarchical structure with 3 levels, taking 1 goal factor, 5 evaluation factors and 7 alternative factors using the ISM method. The collected date of questionnaires through the AHP method were analyzed with a group of port experts for an empirical analysis. The result of the hierarchical level 2 shows that profitability is the most important factor, followed by public interest, management professionality, service quality and financial soundness. The analysis results of hierarchical level 3 shows that commercialization is the most important factor.

Discovering Community Interests Approach to Topic Model with Time Factor and Clustering Methods

  • Ho, Thanh;Thanh, Tran Duy
    • Journal of Information Processing Systems
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    • v.17 no.1
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    • pp.163-177
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    • 2021
  • Many methods of discovering social networking communities or clustering of features are based on the network structure or the content network. This paper proposes a community discovery method based on topic models using a time factor and an unsupervised clustering method. Online community discovery enables organizations and businesses to thoroughly understand the trend in users' interests in their products and services. In addition, an insight into customer experience on social networks is a tremendous competitive advantage in this era of ecommerce and Internet development. The objective of this work is to find clusters (communities) such that each cluster's nodes contain topics and individuals having similarities in the attribute space. In terms of social media analytics, the method seeks communities whose members have similar features. The method is experimented with and evaluated using a Vietnamese corpus of comments and messages collected on social networks and ecommerce sites in various sectors from 2016 to 2019. The experimental results demonstrate the effectiveness of the proposed method over other methods.

A Study on Impact of Deep Learning on Korean Economic Growth Factor

  • Dong Hwa Kim;Dae Sung Seo
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.90-99
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    • 2023
  • This paper deals with studying strategy about impact of deep learning (DL) on the factor of Korean economic growth. To study classification of impact factors of Korean economic growth, we suggest dynamic equation of microeconomy and study methods on economic growth impact of deep learning. Next step is to suggest DL model to dynamic equation with Korean economy data with growth related factors to classify what factor is import and dominant factors to build policy and education. DL gives an influence in many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently, young generations will take a big impact on their job selection because generative AI can do well as much as humans can do it everywhere. Therefore, policy and education methods should be rearranged as new paradigm. However, government and officers do not understand well how it is serious in policy and education. This paper provides method of policy and education for AI education including generative AI through analysing many papers and reports, and experience.

Suppressing NF-κB/Caspase-1 Activation is a Mechanism Involved in the Anti-inflammatory Effect of Rubi Fructus in Stimulated HMC-1 Cells

  • Mi-Ok Yang;Noh-Yil Myung
    • Biomedical Science Letters
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    • v.29 no.3
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    • pp.137-143
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    • 2023
  • Inflammation plays an important role in immune system's response to tissue injury and biological stimuli. However, excessive inflammation can cause tissue damage. Therefore, the development of naturally derived anti-inflammatory agents have received broad attention. In this study, we investigated the anti-inflammatory mechanism of Rubi Fructus (RF) extract on the mast cell-mediated inflammatory response. To determine the regulatory mechanism of RF in inflammatory reaction, we evaluated the effects of RF on secretion of interleukin (IL)-8, IL-6 and tumor necrosis factor (TNF)-α and activation of nuclear factor-κB (NF-κB) and caspase-1 in activated human mast cells-1 (HMC-1). The results showed that RF attenuated IL-8, IL-6 and TNF-α secretion in a concentration-dependent manner. Moreover, RF significantly attenuated caspase-1and NF-κB activation in activated HMC-1. Conclusively, the present results provide evidence that RF may be a promising agent for anti-inflammatory therapy.

Association of Duration and Rate of Grain Filling with Grain Yield in Temperate Japonica Rice (Oryza sativa L.)

  • Yang, Woon-Ho;Park, Tae-Shik;Kwak, Kang-Su;Choi, Kyung-Jin;Oh, Min-Hyuk
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.52 no.1
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    • pp.112-121
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    • 2007
  • Grain filling is a crucial factor that determines grain yield in crops since it is the final process directly associated with crops' yield performance. Grain filling process can be characterized by the interaction of rate and duration of grain filling. This study was conducted, using 16 temperate japonica rice genotypes, with aims to (1) seek variations in grain filling duration and rate on area basis, (2) compare the contribution of grain filling duration and rate to grain yield, and (3) examine the influence of temperature and solar radiation for effective grain filling on grain yield in relation to grain filling duration and rate. Grain filling rate and duration exhibited highly significant variations in the ranges of $20.7{\sim}46.3\;g\;m^{-2}d^{-1}\;and\;11.2{\sim}35.5$ days, respectively, depending on rice genotypes. Grain yield on unit area basis was associated positively with grain filling duration but negatively with grain filling rate. Grain filling rate and duration were negatively correlated with each other. Final grain weight increased linearly with the rise in both cumulative mean temperature and cumulative solar radiation for effective grain filling. Higher cumulative mean temperature and cumulative solar radiation for effective grain filling were the results of longer grain filling duration, but not necessarily higher daily mean temperature and daily solar radiation for effective grain filling. Grain filling rate demonstrated an increasing tendency with the rise in daily mean temperature for effective grain filling but their relationship was not obviously clear. It was concluded that grain filling duration, which influenced cumulative mean temperature and cumulative solar radiation for effective grain filling, was the main factor that determined grain yield on unit area basis in temperate Japonica rice.