• Title/Summary/Keyword: Distribution Modeling

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A Study on the Analysis of Elements and Practical Using Method in Space Diagram of UN Studio (UN Studio의 공간 다이어그램 구성요소와 활용방법 분석)

  • Choi, Eun-Hee;Eune, Ju-Hyun;Kwon, Young-Gull
    • Archives of design research
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    • v.19 no.5 s.67
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    • pp.75-84
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    • 2006
  • The aims of this study are to examine the conceptual contents of space diagram, and to find its elements and practical applications by analyzing the UN Studio. The Findings of this study are as follows: firstly, the conceptual contents represented in space diagram are classified into four elements - motif, flow, relationship, and distribution. Secondly, space diagram is used in program development, schematic design, and preliminary design of design process phases. Thirdly, the elements based on the case diagrams include five elements: context analysis, object analysis, time-behavior analysis, modeling analysis, and space analysis. Fourthly, in practical use, diagrams with motif concept is usually used in modeling analysis, and diagram with flow concept is commonly used in the analysis of time-behavior and object. Diagrams with relationship concept is mostly used in space analysis, secondly in analysis of context and modeling. Further, diagrams with distribution concept is usually used in space analysis. If one uses these findings for design projects in practical business or education, it would be helpful in design conception and development as well as of design information structuralization.

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Numerical Modeling of Large Triaxial Compression Test with Rockfill Material Considering 3D Grain Size Distribution (3차원 입도분포를 고려한 락필재료의 대형삼축압축시험 수치모델링)

  • Noh, Tae Kil;Jeon, Je Sung;Lee, Song
    • Journal of the Korean GEO-environmental Society
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    • v.13 no.10
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    • pp.55-62
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    • 2012
  • In this research, the algorithm for simulating specific grain size distribution(GSD) with large diameter granular material was developed using the distinct element analysis program $PFC^{3D}$(Particle Flow Code). This modeling approach can generate the initial distinct elements without clump logic or cluster logic and prevent distinct element from escaping through the confining walls during the process. Finally the proposed distinct element model is used to simulate large triaxial compression test of the rockfill material and we compared the simulation output with lab test results. Simulation results of Assembly showed very well agreement with the GSD of the test sample and numerical modeling of granular material would be possible for various stress conditions using this application through the calibration.

Statistical analysis and probabilistic modeling of WIM monitoring data of an instrumented arch bridge

  • Ye, X.W.;Su, Y.H.;Xi, P.S.;Chen, B.;Han, J.P.
    • Smart Structures and Systems
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    • v.17 no.6
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    • pp.1087-1105
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    • 2016
  • Traffic load and volume is one of the most important physical quantities for bridge safety evaluation and maintenance strategies formulation. This paper aims to conduct the statistical analysis of traffic volume information and the multimodal modeling of gross vehicle weight (GVW) based on the monitoring data obtained from the weigh-in-motion (WIM) system instrumented on the arch Jiubao Bridge located in Hangzhou, China. A genetic algorithm (GA)-based mixture parameter estimation approach is developed for derivation of the unknown mixture parameters in mixed distribution models. The statistical analysis of one-year WIM data is firstly performed according to the vehicle type, single axle weight, and GVW. The probability density function (PDF) and cumulative distribution function (CDF) of the GVW data of selected vehicle types are then formulated by use of three kinds of finite mixed distributions (normal, lognormal and Weibull). The mixture parameters are determined by use of the proposed GA-based method. The results indicate that the stochastic properties of the GVW data acquired from the field-instrumented WIM sensors are effectively characterized by the method of finite mixture distributions in conjunction with the proposed GA-based mixture parameter identification algorithm. Moreover, it is revealed that the Weibull mixture distribution is relatively superior in modeling of the WIM data on the basis of the calculated Akaike's information criterion (AIC) values.

Comparison of Research Trends in KODISA Directly Managed Journals Using Keyword Analysis

  • YANG, Hoe-Chang;YANG, Woo-Ryeong
    • Journal of Research and Publication Ethics
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    • v.2 no.1
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    • pp.19-24
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    • 2021
  • Purpose: The purpose of this study is to check the direction of KODISA's pursuit of complex and convergence studies by confirming the research trends of KODISA's direct academic journals such as JDS, JIDB, JBEES and JAFEB. To this end, we tried to compare and confirm the research trends of the papers in four academic journals targeting keywords. Research Design, data and methodology: The analysis was conducted from 2014 to 2020 on 867 papers from JDS, 315 papers from JIDB, 120 papers from JBEES, and 867 papers based on the publication year of the most recently published journal from JAFEB. For the analysis, frequency analysis, word crowding, topic modeling, and frequency analysis by applying weights for each year group were performed on the keywords crawled using Python. Results: The results of frequency analysis showed that each journal is properly oriented toward its target direction. In addition, it was confirmed that the results of topic modeling significantly reflected the results of frequency analysis. Finally, it could be concluded that the results of frequency analysis using the weights of keywords by year group were also developing in the direction the target journals were analyzed. Specifically, in the case of JDS, 20 keywords such as Service Quality, Distribution were found to increase continuously according to the year group. Meanwhile, the keywords that continued to increase according to JIDB's year group were India, Social Capital, and Job Stress. The keywords that continued to increase according to the year group of JBEES were Micro Finance Institutions and Microfinance, and the keywords that of JAFEB were confirmed to be Vietnam and Service Quality. Conclusion: It was confirmed that KODISA's direct management journals responded appropriately to convergence issues. In particular, it was confirmed that researches in various fields of JDS are continuously increasing. However, it seems that JIDB needs to deal with various issues additionally in the service industry field and JBEES in the environment field. Finally, it was found that JAFEB needs to be wary of the relatively low level of interest in some countries such as Kazakhstan and India in recent years.

Modeling and Analysis of Wireless Lan Traffic (무선 랜 트래픽의 분석과 모델링)

  • Yamkhin, Dashdorj;Lee, Seong-Jin;Won, You-Jip
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.8B
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    • pp.667-680
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    • 2008
  • In this work, we present the results of our empirical study on 802.11 wireless LAN network traffic. We collect the packet trace from existing campus wireless LAN infra-structure. We analyzed four different data sets: aggregate traffic, upstream traffic, downstream traffic, tcp only packet trace from aggregate traffic. We analyze the time series aspect of underlying traffic (byte count process and packet count process), marginal distribution of time series, and packet size distribution. We found that in all four data sets there exist long-range dependent property in byte count and packet count process. Inter-arrival distribution is well fitted with Pareto distribution. Upstream traffic, i.e. from the user to Internet, exhibits significant difference in its packet size distribution from the rests. Average packet size of upstream traffic is 151.7 byte while average packet size of the rest of the data sets are all greater than 260 bytes. Packets with full data payloads constitutes 3% and 10% in upstream traffic and the downstream traffic, respectively. Despite the significant difference in packet size distribution, all four data sets have similar Hurst values. The Hurst alone does not properly explain the stochastic characteristics of the underlying traffic. We model the underlying traffic using fractional-ARIMA (FARIMA) and fractional Gaussian Noise (FGN). While the fractional Gaussian Noise based method is computationally more efficient, FARIMA exhibits superior performance in accurately modeling the underlying traffic.

Assessing the Effects of Climate Change on the Geographic Distribution of Pinus densiflora in Korea using Ecological Niche Model (소나무의 지리적 분포 및 생태적 지위 모형을 이용한 기후변화 영향 예측)

  • Chun, Jung Hwa;Lee, Chang-Bae
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.15 no.4
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    • pp.219-233
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    • 2013
  • We employed the ecological niche modeling framework using GARP (Genetic Algorithm for Ruleset Production) to model the current and future geographic distribution of Pinus densiflora based on environmental predictor variable datasets such as climate data including the RCP 8.5 emission climate change scenario, geographic and topographic characteristics, soil and geological properties, and MODIS enhanced vegetation index (EVI) at 4 $km^2$ resolution. National Forest Inventory (NFI) derived occurrence and abundance records from about 4,000 survey sites across the whole country were used for response variables. The current and future potential geographic distribution of Pinus densiflora, one of the tree species dominating the present Korean forest was modeled and mapped. Future models under RCP 8.5 scenarios for Pinus densiflora suggest large areas predicted under current climate conditions may be contracted by 2090 showing range shifts northward and to higher altitudes. Area Under Curve (AUC) values of the modeled result was 0.67. Overall, the results of this study were successful in showing the current distribution of major tree species and projecting their future changes. However, there are still many possible limitations and uncertainties arising from the select of the presence-absence data and the environmental predictor variables for model input. Nevertheless, ecological niche modeling can be a useful tool for exploring and mapping the potential response of the tree species to climate change. The final models in this study may be used to identify potential distribution of the tree species based on the future climate scenarios, which can help forest managers to decide where to allocate effort in the management of forest ecosystem under climate change in Korea.

Hybrid medium model for conjugate heat transfer modeling in the core of sodium-cooled fast reactor

  • Wang, X.A.;Zhang, Dalin;Wang, Mingjun;Song, Ping;Wang, Shibao;Liang, Yu;Zhang, Yapei;Tian, Wenxi;Qiu, Suizheng;Su, G.H.
    • Nuclear Engineering and Technology
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    • v.52 no.4
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    • pp.708-720
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    • 2020
  • Core-wide temperature distribution in sodium-cooled fast reactor plays a key role in its decay heat removal process, however the prediction for temperature distribution is quite complex due to the conjugate heat transfer between the assembly flow and the inter-wrapper flow. Hybrid medium model has been proposed for conjugate heat transfer modeling in the core. The core is modeled with a Realistic modeled inter-wrapper flow and hybrid medium modeled assembly flow. To validate present model, simulations for a three-assembly model were performed with Realistic modeling, traditional porous medium model and hybrid medium model, respectively. The influences of Uniform/Non-Uniform power distribution among assemblies and the Peclet number within the assembly flow have been considered. Compared to traditional porous medium model, present model shows a better agreement with in Realistic modeling prediction of the temperature distribution and the radial heat transfer between the inter-wrapper flow and the assembly flow.

Factors of Successful Online Marketing Strategy to Food Distribution SMEs

  • PANAWAN, Chusripat;PEERAWAT, Chailom
    • Journal of Distribution Science
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    • v.20 no.12
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    • pp.71-79
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    • 2022
  • Purpose: This study aimed to apply factors of successful online marketing strategy for food distribution SMEs and the effects of these successful strategies to achieve higher performances. Research design, data, and methodology: Questionnaires were used to collect data from 400 samples of SMEs in Thailand. We employed structural Equation Modeling techniques for data analysis. Results: The results revealed that distribution strategies directly affected the success of business operations, as follows: 1) Customer communication channels, product variety, preserved privacy, and personal service had direct positive effects on the distribution success in terms of financial perspective, customer perspective, internal process perspective, and earning and growth perspectives; 2) Ability to learn a competitor had a positive direct relationship with the distribution success in terms of financial perspective and learning and growth perspectives, excluding customer perspective and internal process perspective; and 3) Responses to market on time had a positive and direct influence on distribution success in terms of customer, internal process perspective and learning and growth perspectives excluding financial perspective. Conclusions: This research has made an essential contribution to SMEs that they should focus on and adopt these 6ODS+4BSC concepts as development guidelines for food distribution SMEs to be more efficient and effective.

Work Motive Distribution of Public Universities Lecturers in Hanoi

  • PHAM, Ngoc Thach;BUI, Van Huyen;HA, Dieu Linh;LE, Thi Lan Huong
    • Journal of Distribution Science
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    • v.20 no.11
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    • pp.71-78
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    • 2022
  • Purpose: The study aims to investigate the impact of factors affecting the work motive distribution of public universities lecturers in Hanoi. Research design, data and methodology: The questionnaire survey method is applied in this research to analyze the relationship between the variables and verify the hypothesis based on the collected 306 valid questionnaires. The partial least square method structural equation model (PLS-SEM) is used to carry out structural equation modeling to study the relationship between latent variables with reliable tools (SmartPLS 3.0 software). Results: The research results show that the intrisic motivation of the lecturers, the extrisic motivation of the lecturers and the job characteristics of the lecturers all have a positive impact on the motivation of public universities lecturers in Hanoi. In which, intrinsic motivation has the greatest influence on the work motive distribution of lecturers. In addition, the research results also prove that job characteristics affect the work motive distribution of lecturers. This is a new factor in the factors affecting the work motive distribution of public universities lecturers. Conclusion: Based on the research results, the authors propose some recommendations to increase the work motive distribution of public universities lecturers in Hanoi through improving the factors affecting their work motive distribution.

The Material Distribution by the Ecosystem Modeling in Suyoung Bay (수영만의 생태계모델링에 의한 물질분포)

  • 김동선;조규대
    • Journal of Environmental Science International
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    • v.7 no.6
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    • pp.817-825
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    • 1998
  • A three-dimensional ecosystem model is applied to the Suyoung Bay, located at the southeastern part of Korea, to study of the material distribution in the time scale of several tens days. The model has included of the DIN(Dissolved Inorganic Nitrogen), DIP(Dissolved Inorganic Phosphate), phytoplankton, zooplankton and detritus, and also was coupled with the physical processes. The spatial distribution of chlorophyll-a and primary productivity in the model is determined by the physical and chemical-biological parameters. The horizontal distributions of the DIN, DIP and chlorophyll-a are decreased from the coast to the off-shore, though the nutrients show some more complicated pattern than the chlorophyll-a. The nutrient contents in the off-shore are low, and thus a relatively low productivity(chlorophyll-a) are presented. On the whole, the distribution of the results of model are smoother than the observed ones and some small scale variation in the observed data cannot be reproduced by the model due to the resolution limits of model. However, the basic pattern and the quantitavities has been reproduced by the model well.

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