• Title/Summary/Keyword: Behavior pattern

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Vibrations and stress analysis of perforated functionally graded rotating beams

  • Alaa A. Abdelrahman;Hanaa E. Abd-El-Mottaleb;Mohamed G. Elblassy;Eman A. Elshamy
    • Steel and Composite Structures
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    • v.49 no.6
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    • pp.667-684
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    • 2023
  • In the context of finite element method, a computational simulation is presented to study and analyze the dynamic behavior of regularly perforated functionally graded rotating beam for the first time. To investigate the effect of perforation configurations, both regular circular and squared perforation patterns are studied. To explore impacts of graded material distributions, both axial and transverse gradation profiles are considered. The material characteristics of graded materials are assumed to be smoothly and continuously varied through the axial or the thickness direction according the nonlinear power gradation law. A computational finite elements procedure is presented. The accuracy of the numerical procedure is verified and compared. Resonant frequencies, axial displacements as well as internal stress distributions throughout the perforated graded rotating cantilever beam are studied. Effects of material distributions, perforation patterns, as well as the rotating beam speed are investigated. Obtained results proved that the graded material distribution has remarkable effects on the dynamic performance. Additionally, circular perforation pattern produces more softening effect compared with squared perforation configuration thus larger values of axial displacements and maximum principal stresses are detected. Moreover, squared perforation provides smaller values of nondimensional frequency parameters at most of vibration modes compared with circular pattern.

A Study on the Analysis of the Combustion Behavior and Carbonization Pattern of Vinyl Flooring on Which a Real-Scale Combustion Test Was Performed (실물 연소 실험이 진행된 비닐장판의 연소거동 및 탄화 패턴 해석에 관한 연구)

  • Joe, Hi-Su;Choi, Chung-Seog
    • Fire Science and Engineering
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    • v.33 no.6
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    • pp.120-125
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    • 2019
  • A real-scale combustion test was conducted on a vinyl flooring in a divided space, with 50 mL of an inflammable liquid sprayed on it. The combustion behavior of the vinyl flooring was studied in real time, and the carbonization patterns of the surface and cross-sections of the carbonized vinyl floor were analyzed. When the flame ignited by gasoline reached its peak, a continuously flaming region, intermittent flaming region, plume region, etc., were formed. The combustion of 50 mL gasoline on vinyl flooring took 26 s, and a halo pattern was observed. This test involved spraying kerosene evenly on the vinyl flooring and attempting to ignite the flooring using a gas torch, which failed. After the combustion of the vinyl flooring was complete, its carbonized range was measured to be 600 mm in length and 380 mm in width, and the carbonized area was 1000 ㎟. Heat transformed the coated layer of surface of the carbonized vinyl flooring into a carbonized layer, which became harder. The analysis of cross-section of the boundary surface of the carbonized vinyl flooring using a stereoscopic microscope showed that the vinyl flooring was bubbling, and that the white boundary layer at the bottom of the coated layer had disappeared.

A Study on Activity Type Based on Multi-dimensional Characteristics (개인의 복합적인 특성에 따른 활동유형 분석)

  • Na, Sung Yong;Lee, Seungjae;Kim, Joo Young
    • Journal of Korean Society of Transportation
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    • v.32 no.5
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    • pp.544-553
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    • 2014
  • Activity-based models analyze individuals' various daily activities that are identified as a decision-making unit for transportation planning. In other words, it is the model that determines the types of activities according to the social, economic and situational characteristics of the groups with the same activity patterns and predicts individuals' activity time, distance, spatial movement and transportation mode. The activity-based model is a method of estimating more efficient and realistic demand in transportation forecasting because traffic is regarded as a complex decision-making process that an individual and other people participate in. In this paper, we grasp the factors affecting choice behavior of activity pattern and analyze choice behavior of activity pattern based on multi-dimensional characteristic of each person. First, we classify activity types of reviewing the trip chain and activity purpose. Next, we identified preferable activity types using complicated characteristics of main agent of activity. We concluded that choice behavior of activity pattern is dependent on complex characteristics of each agent, and further multi-dimensional characteristics of each person are affected over the whole decision process of activity schedule.

A Exploratory Study on the Personality Type, Problematic Drinking Pattern, and Stress Coping Style of the Nasal Bone Fracture Patients Due to Violence (폭력으로 인한 비골골절 환자의 성격 유형, 문제성 음주 및 스트레스 대처 방식에 대한 탐색적 연구)

  • Park, Ji-Suk;Oh, Hyun-Soo;Seo, Wha-Sook;Ham, Ok-Kyung
    • Korean Journal of Adult Nursing
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    • v.20 no.3
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    • pp.461-469
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    • 2008
  • Purpose: This study was conducted to identify the personality type, problematic drinking pattern, and stress coping style of the nasal bone fracture patients by comparing those with general fracture patients. Methods: 50 nasal bone fracture patients due to violence and 50 general fracture patients due to simple trauma, such as fall and traffic accident were conveniently selected. Results: The study results showed that nasal bone fracture patients due to violence significantly presented higher level of A type personality and more problematic drinking pattern than general fracture patients due to simple trauma. Stress coping style, however, did not show significant difference between two groups. Conclusion: In order to prepare prevention strategies for basal bone fracture in the future, health education alter problematic drinking habit to sound drinking pattern may be offered and provided nursing interventions tailored to A type personality.

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The Optimal Operation Pattern and Heat Pricing Scheme for District Heating CHP System (지역난방용 열병합발전시스템의 최적운전패턴과 적정 열요금구조)

  • 권영한;김창수;진병문;김진오
    • Journal of Energy Engineering
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    • v.5 no.2
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    • pp.183-192
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    • 1996
  • This paper presents a numerical model of the optimal operation pattern of the CHP system built for duel-purpose of power generation and district heat production. The model can be differently formulated in accordance with the view of planner: society, electric utility or district-heating company. Here, the operation pattern of the system components and the effect of heat price are of major interest in the study. From the case study, it was found that the optimal use of auxiliary heating equipment is very important to achieve the minimum societal cost. And, the multi-step heat pricing scheme is desirable to induce the voluntary behavior of both companies towards the societal optimal pattern.

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A Study on the Occurrence Characteristics of Usage Pattern in Outdoor Spaces inside High-Rise Apartment Housing Estates (고층아파트 단지 외부공간의 이용행태 발생특성에 관한 연구)

  • Kwak, Youn-Chung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.4
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    • pp.1872-1879
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    • 2012
  • By analyzing the use of outdoor space in apartment complex and finding empirical proof which is concrete and systemic, this study focuses on the relationship between residents' daily lives and physical space. This study tries to find out the types and characteristics of outdoor space which causes the occurrence of residents' use in High-Rise apartment housing Estates, and analyzes the residents' usage pattern of outdoor space in eight different apartment complexes which were builted since 2004. After analyzing the usage pattern of outdoor space, the usage of playground was ranked highest and playing, talking, exercising, resting was in order. Especially it was found that the usage inside semi-public space where passing is abundant increases.

Discriminant Factors of Attitude Pattern toward Sexual Violence of College Women (여대생의 성폭력 태도유형의 판별 요인)

  • Sung, Mi-Hae;Lim, Young-Mi
    • Women's Health Nursing
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    • v.15 no.4
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    • pp.312-319
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    • 2009
  • Purpose: The purpose of this study was to determine the discriminant factors of attitude pattern toward sexual violence of college women. Methods: A cross-sectional research design with non-probability samples was conducted. A total of 292 college women participated. The instruments were Attitude Pattern toward Sexual Violence, Self-Esteem Scale, Gender Role Scale, and Attitude toward Sexuality. Dependent variable is Attitude Pattern toward Sexual Violence, which is composed of two groups; cases either harmer blame or sufferer blame. Independent variables were self-esteem, attitude toward gender role, and attitude toward sexuality. Data were analyzed by SPSS WIN program and descriptive analysis, $x^2$-test, and discriminant analysis. Results: To assess the adequacy of classification, the overall hit ratio was 68.5%, and the significant predictor variable was attitude toward sexuality. Conclusion: Replication of the study needs to be considered to further enrich the specific knowledge base regarding attitude toward sexual violence among college women.

A Pattern-Based Prediction Model for Dynamic Resource Provisioning in Cloud Environment

  • Kim, Hyuk-Ho;Kim, Woong-Sup;Kim, Yang-Woo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.10
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    • pp.1712-1732
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    • 2011
  • Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

Novel Method for Face Recognition using Laplacian of Gaussian Mask with Local Contour Pattern

  • Jeon, Tae-jun;Jang, Kyeong-uk;Lee, Seung-ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.11
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    • pp.5605-5623
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    • 2016
  • We propose a face recognition method that utilizes the LCP face descriptor. The proposed method applies a LoG mask to extract a face contour response, and employs the LCP algorithm to produce a binary pattern representation that ensures high recognition performance even under the changes in illumination, noise, and aging. The proposed LCP algorithm produces excellent noise reduction and efficiency in removing unnecessary information from the face by extracting a face contour response using the LoG mask, whose behavior is similar to the human eye. Majority of reported algorithms search for face contour response information. On the other hand, our proposed LCP algorithm produces results expressing major facial information by applying the threshold to the search area with only 8 bits. However, the LCP algorithm produces results that express major facial information with only 8-bits by applying a threshold value to the search area. Therefore, compared to previous approaches, the LCP algorithm maintains a consistent accuracy under varying circumstances, and produces a high face recognition rate with a relatively small feature vector. The test results indicate that the LCP algorithm produces a higher facial recognition rate than the rate of human visual's recognition capability, and outperforms the existing methods.

Effective Notch Stress Method for Fatigue Evaluation of Welded Joints in a Steel Bridge Deck

  • Sim, Hyoung-Bo
    • International Journal of Railway
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    • v.5 no.2
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    • pp.89-92
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    • 2012
  • Effective notch stress, as an approach to evaluate the local stress at a notch (weld toe or root), is defined as the total stress assuming linear-elastic material behavior. This method can be effectively used to evaluate the fatigue performance of welded joints. In this study, finite element analysis results using the effective notch stress method were correlated with fatigue test results of rib-to-deck welded joints in a steel orthotropic bridge deck. Effective notch stress approach provided a good correlation with the crack pattern observed in the full-scale fatigue test. A higher effective notch stress at the critical weld toe than at the weld root was consistent with the dominant crack pattern observed at the weld toe during testing. The effective notch stress at the toe on the deck plate was about 80% higher than that on the rib; no cracks at the weld toe on the rib in the testing were observed. Maximum effective notch stress at the weld root occurred on the upper side of the root notch, which indicates that cracks are more likely to propagate into the deck plate, not into the weld metal. This is also consistent with the observed crack pattern in which the crack from the root propagated upward into the deck plate. No such crack pattern, propagating into the weld metal, was observed in the testing.