• Title/Summary/Keyword: partition model

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Hierarchic Shell Model Based on p-Convergence (p-수렴방식에 기초한 계층요소 쉘 모델)

  • 우광성
    • Computational Structural Engineering
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    • v.3 no.1
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    • pp.59-70
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    • 1990
  • The p-version of the finite element method is a new approach to finite element analysis in which the partition of the domain is held fixed while the degree p of approximating piecewise polynomials is increased. In this paper, the focus is on computer implementation of a new hierarchic p-convergence shell model based on blend mapping functions. Its rigid-body modes, round-off error, and convergence characteristics are investigated.

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The Vacancies-in-Solid Model Applied to Solid Argon

  • Ko Seuk Beum;Kim Wan Kyue;Moon Byung Yol
    • Bulletin of the Korean Chemical Society
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    • v.3 no.1
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    • pp.18-23
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    • 1982
  • The molar volumes, the molar heat capacities and the molar entropies of solid argon are calculated from 0 K to the triple point using the vacancies-in-solid model. In the partition function, the central pairwise additive (Mie-Lennard-Jones 12,6) potential is used by introducing numbers, which is obtained by summing powers over all lattice points of a face-centred cubic in terms of the distance between nearest neighbours. A method of iteration is employed to evaluate the potential parameter. The results are compared with experimental values and other theoretical values. The results show a fair agreement with the experimental results.

The analysis of random effects model by projections (사영에 의한 확률효과모형의 분석)

  • Choi, Jaesung
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.1
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    • pp.31-39
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    • 2015
  • This paper deals with a method for estimating variance components on the basis of projections under the assumption of random effects model. It discusses how to use projections for getting sums of squares to estimate variance components. The use of projections makes the vector subspace generated by the model matrix to be decomposed into subspaces that are orthogonal each other. To partition the vector space by the model matrix stepwise procedure is used. It is shown that the suggested method is useful for obtaining Type I sum of squares requisite for the ANOVA method.

Single and Binary Competitive Sorption of Phenanthrene and Pyrene in Natural and Synthetic Sorbents

  • Masud, Md Abdullah Al;Shin, Won Sik
    • Journal of Soil and Groundwater Environment
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    • v.27 no.6
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    • pp.11-21
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    • 2022
  • Sorption of phenanthrene (PHE) and pyrene (PYR) in several sorbents, i.e., natural soil, BionSoil®, Pahokee peat, vermicompost and Devonian Ohio Shale and a surfactant (hexadecyltrimethyl ammonium chloride)-modified montmorillonite (HDTMA-M) were investigated. Pyrene exhibited higher sorption tendency than phenanthrene, as predicted by its higher octanol to water partition coefficient (Kow). Several sorption models: linear, Freundlich, solubility-normalized Freundlich model, and Polanyi-Manes model (PMM) were used to analyze sorption isotherms. Linear isotherms were observed for natural soil, BionSoil®, Pahokee peat, vermicompost, while nonlinear Freundlich isotherms fitted for Ohio shale and HDTMA-M. The relationship between sorption model parameters, organic carbon content (foc), and elemental C/N ratio was studied. In the binary competitive sorption of phenanthrene and pyrene in natural soil, competition between the solutes caused reduction in the sorption of each solute compared with that in the single-solute system. The ideal adsorbed solution theory (IAST) coupled with the single-solute Freundlich model was not successful in describing the binary competitive sorption equilibria. This was due to the inherent nature of linear sorption of phenanthrene and pyrene in natural soil. The result indicates that the applicability of IAST for the prediction of binary competitive sorption is limited when the sorption isotherms are inherently linear.

Thermal analysis model for electric water pumps with non-conductive cooling liquid (비전도성 충진액을 포함하는 전동워터펌프 열 해석 모델)

  • Jung, Sung-Taek;Yoon, Seon-Jhin;Ha, Seok-Jae
    • Design & Manufacturing
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    • v.16 no.2
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    • pp.46-52
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    • 2022
  • As the consumer market in the eco-friendly vehicle industry grows, the demand for water pump in a electric car parts market. This study intend to propose a mathematical model that can verify the effect of improving thermal properties when a non-conductive cooling filler liquid is introduced into an electric vehicle water pump. Also, the pros and cons of the immersion cooling method and future development way were suggested by analyzing the cooling characteristics using on the derived analysis solution. Thermal characteristics analysis of electric water pump applied with non-conductive filler liquid was carried out, and the diffusion boundary condition in the motor body and the boundary condition the inside pump were expressed as a geometric model. As a result of analyzing the temperature change for the heat source of the natural convection method and the heat conduction method, the natural convection method has difficulty in dissipating heat because no decrease in temperature due to heat release was found even after 300 sec. Also, it can be seen that the heat dissipation effect was obtained even though the non-conductive filling liquid was applied at the 120 sec and 180 sec in the heat conduction method. It has proposed to minimize thermal embrittlement and lower motor torque by injecting a non-conductive filler liquid into the motor body and designing a partition wall thickness of 2.5 mm or less.

Combat Entity Based Modeling Methodology to Enable Joint Analysis of Performance/Engagement Effectiveness - Part 1 : Conceptual Model Design (성능/교전 효과도의 상호 분석이 가능한 전투 개체 기반의 모델링 방법론 - 제1부 : 개념 모델 설계)

  • Seo, Kyung-Min;Kim, Tag Gon;Song, Hae-Sang;Kim, Jung Hoon;Chung, Suk Moon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.17 no.2
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    • pp.223-234
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    • 2014
  • This paper proposes a flexible and highly reusable modeling methodology for a next-generation combat entity which enables joint analysis of performance/engagement effectiveness. According to the scope of the proposed work, the paper is divided into two parts; Part 1 focuses on a conceptual model design, whereas Part 2 proposes detailed model specification and implementation. In Part 1, we, first, classify the combat entity model as combat logic and battlefield function sub-models for joint analysis. Based on the sub-models, we propose two dimensional model partition method, which creates six groups of a single combat entity model by two dimensions: three-activity and two-abstraction. This grouping enables us to reconfigure the combat entity model by sharing the same interface within the group, and the same interface becomes the fundamental basis of the flexible model composition. Furthermore, the proposed method provides a model structure that effectively reflects the real world and maximizes the multi-level reusability of a combat entity model. As a case study, we construct a model design for anti-surface ship warfare. The case study proves enhancement of model reusability in the process of scenario expansion from pattern running to wire guided torpedo operations.

Combat Entity Based Modeling Methodology to Enable Joint Analysis of Performance/Engagement Effectiveness - Part 2 : Detailed Model Design & Model Implementation (성능/교전 효과도의 상호 분석이 가능한 전투 개체 기반의 모델링 방법론 - 제2부 : 상세 모델 설계 및 모델 구현)

  • Seo, Kyung-Min;Choi, Changbeom;Kim, Tag Gon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.17 no.2
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    • pp.235-247
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    • 2014
  • Based on two dimensional model partition method proposed in Part 1, Part 2 provides detailed model specification and implementation. To mathematically delineate a model's behaviors and interactions among them, we extend the DEVS (Discrete Event Systems Specification) formalism and newly propose CE-DEVS (Combat Entity-DEVS) for an upper abstraction sub-model of a combat entity model. The proposed CE-DEVS additionally define two sets and one function to reflect essential semantics for the model's behaviors explicitly. These definitions enable us to understand and represent the model's behaviors easily since they eliminate differences of meaning between real-world expressions and model specifications. For model implementation, upper abstraction sub-models are implemented with DEVSim++, while the lower sub-models are realized using the C++ language. With the use of overall modeling techniques proposed in Part 1 and 2, we can conduct constructive simulation and assess factors about combat logics as well as battle field functions of the next-generation combat entity, minimizing additional modeling efforts. From the anti-torpedo warfare experiment, we can gain interesting experimental results regarding engagement situations employing developing weapons and their tactics. Finally, we expect that this work will serve an immediate application for various engagement warfare.

Camera Model Identification Based on Deep Learning (딥러닝 기반 카메라 모델 판별)

  • Lee, Soo Hyeon;Kim, Dong Hyun;Lee, Hae-Yeoun
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.10
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    • pp.411-420
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    • 2019
  • Camera model identification has been a subject of steady study in the field of digital forensics. Among the increasingly sophisticated crimes, crimes such as illegal filming are taking up a high number of crimes because they are hard to detect as cameras become smaller. Therefore, technology that can specify which camera a particular image was taken on could be used as evidence to prove a criminal's suspicion when a criminal denies his or her criminal behavior. This paper proposes a deep learning model to identify the camera model used to acquire the image. The proposed model consists of four convolution layers and two fully connection layers, and a high pass filter is used as a filter for data pre-processing. To verify the performance of the proposed model, Dresden Image Database was used and the dataset was generated by applying the sequential partition method. To show the performance of the proposed model, it is compared with existing studies using 3 layers model or model with GLCM. The proposed model achieves 98% accuracy which is similar to that of the latest technology.

Analysis of the Indoor Environmental Characteristics of Educational Facilities (Case Study of Thermal and Acoustical Environment of Elementary School by Field Measurement) (교육시설의 실내환경 특성 분석에 관한 연구 (초등학교의 열 및 음환경 실측조사에 의한 사례연구))

  • Cho, Min-Kwan
    • Journal of the Korean Solar Energy Society
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    • v.27 no.4
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    • pp.59-65
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    • 2007
  • This study is to propose the basic data for deciding remodeling of wornout educational facilities. In order of it, the indoor environmental standard, the actual conditions of thermal environment and sound insulation of walls were examined through field measurement in the subjected open elementary school(J school) and modernization model of elementary school(Y school) which they are located in Seoul. As the result, standard for indoor environmental factors of educational facilities which is established by Ministry of Education is not subdivided into indoor environmental performances considering usages and characteristics of classrooms for comfortable indoor environment. The vertical temperature difference in general classroom and in open classroom showed to be $11.2^{\circ}C$ and $12.1^{\circ}C$ respectively, while indoor temperature of special classroon was, on the whole, higher than that of any other classroom due to its specific heat flux of wall materials. The sound insulation performance of the masonry brick wall of classroom satisfied the minimum standard of AIJ, Architectural Institute of Japan, in the open elementary school and the modernization model of elementary school. That is to say, the movable partition wall between the classroom and the corridor disturbed students in their class in the open school.

Predicting Model of Students Leaving Their Majors Using Data Mining Technique (데이터마이닝 기법을 이용한 전공이탈자 예측모형)

  • Leem, Young-Moon;Ryu, Chang-Hyun
    • Journal of the Korea Safety Management & Science
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    • v.8 no.5
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    • pp.17-25
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    • 2006
  • Nowadays most colleges are confronting with a serious problem because many students have left their majors at the colleges. In order to make a countermeasure for reducing major separation rate, many universities are trying to find a proper solution. As a similar endeavor, the objective of this paper Is to find a predicting model of students leaving their majors. The sample for this study was chosen from a university in Kangwon-Do during seven years(2000.3.1 $\sim$ 2006. 6.30). In this study, the ratio of training sample versus testing sample among partition data was controlled as 50% : 50% for a validation test of data division. Also, this study provides values about accuracy, sensitivity, specificity about three kinds of algorithms including CHAID, CART and C4.5. In addition, ROC chart and gains chart were used for classification of students leaving their majors. The analysis results were very informative since those enable us to know the most important factors such as semester taking a course, grade on cultural subjects, scholarship, grade on majors, and total completion of courses which can affect students leaving their majors.