• 제목/요약/키워드: Impulsive model

검색결과 193건 처리시간 0.022초

반동방식 충격기구의 완충시스템 해석 (Analysis of Isolation System for Impulsive Force Device with Recoil Mechanism)

  • 김효준;류봉조
    • 한국소음진동공학회논문집
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    • 제15권3호
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    • pp.272-279
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    • 2005
  • 이 논문에서는 프로토타입(prototype) 고충격력 기구에 대한 최적의 절연시스템이 연구된다. 이 목적을 위해 첫째, 고충격력 기구의 특정한 작동조건하에서 인체의 거동과 전달력이 고안된 시험 장치를 이용한 실험을 통해 분석된다. 최적 동흡진기를 설계하기 위하여, 파라미터 최적과정이 충격량과 전달력의 실험결과를 토대로 한 단순화된 절연시스템 모델을 사용하여 이루어진다. 최종적으로, 충격완화 변위와 전달력의 구속조건을 만족시키는 파라미터 하에서, 프로토타입 고충격력 기구에 대해 최적 설계된 절연시스템의 성능이 실험에 의해 평가된다.

모바일 패션 쇼핑몰에서 패션제품 속성과 모바일 쇼핑몰 속성이 충동구매 행동 및 만족에 미치는 영향 (Impacts of Fashion Products Attributes and Mobile Shopping Mall Attributes on Impulse Buying Behavior and Satisfaction in Mobile Fashion Shopping Mall)

  • 박은주;강은미
    • 한국의류산업학회지
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    • 제18권2호
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    • pp.158-166
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    • 2016
  • This study investigates the impact of fashion product attributes and mobile shopping mall attributes on impulse buying behavior and mobile shopping satisfaction. The findings provide new information to marketers on marketing strategy for mobile shopping malls. We obtained 283 usable questionnaires from college students. Data were analyzed by frequency analysis, correlation analysis, factor analysis using SPSS for Window 21.0 and confirmatory factor analysis and structural equation model analysis by AMOS 21.0. The results were as follows. The utility of fashion products attributes had the greatest impact on impulse buying behavior when buying fashion products in a mobile mall. Utility had a negative effect on impulsive buying behavior and exhibitionistic had a positive effect on impulsive buying behavior. Next, continuous management of mobile shopping mall attributes influenced impulse buying behavior. In addition, impulse buying behavior showed that the positive effect on satisfaction. Fashion product attributes had a greater impact on impulsive buying behavior than mobile mall properties when buying fashion products in the mobile mall; in addition, impulse buying facilitated customer satisfaction.

소비자의 의류쇼핑동기유형과 점포에 관한 연구 -선호점포와 점포분위기- (A Study on Clothing Shopping Motivations and store - Preferred Stores and Store Atmosphere -)

  • 박수경;임숙자
    • 한국의류학회지
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    • 제20권3호
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    • pp.414-428
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    • 1996
  • This study intends to ascertain the importance of store atmosphere when construcing store marketing strategies for store differentiation. And it is studied by classifying consumer groups according to clothing shopping motivations, comparing store atmosphere assessment and emotion response of preferred stores, and analyzing the influence store atmosphere has on store preference or impulsive purchase. The subject of this study are women in their twenties living in Seoul, 255 career women and 233 college students totaling 458, and model sampling is done by convenient sampling taking into account the type of their occupation and major. Modified survey based on references and former studies is used, and using SAS packages, methods. The results of data analysis are as follows. 1. Consumer groups are classified into the following four subdivisions: shopping involvement, leisure pursuit, financial, and shopping unconcern group. The stores women in twenties use most frequently for shopping are department stores, speciality stores, common market, discount stores, and wholesale markets, and significant difference are shown between consumer groups. 2. Consumer responses for store atmosphere preferences are shown significantly among groups when concerned with store preferences. 3. Images of store atmosphere as factor analyzed into environment factor, kindness factor, and decoration factor, Environment factor is most highly estimated in speciality stores, kindness factor in department stores, and decoration factor in common markets. 4. Leisure pursuit group is assessed to be most influenced by store atmosphere in store seleciton, impulsive purchase, and after-purchase shopping behavior, and impulsive purchase is shown highly in department stores and speciality stores.

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점소성론을 이용한 구조물의 충격응답 해석 (Responses of structure to impulsive loading with application of viscoplasticity)

  • 김상환
    • 전산구조공학
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    • 제8권3호
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    • pp.59-66
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    • 1995
  • 점소성이론을 이용하여 충격하중을 받는 구조물의 거동을 하중시간에 따라 조사하였다. 점소성이론은 재료의 소성특성과 시간변화특성을 나타내는 Rheology 이론을 동시에 고려한 이론이다. 점소성 구성방정식을 구한 후, 이를 이차원 유한요소해석프로그램에서 심어서 평면응력, 평면 변형률, 축대칭 구조물의 동적 거동을 해석할 수 있도록 기존프로그램을 수정.개발하였다. Perzyna에 의한 점소성 구성방정식은 유한요소해석에서 Explicit 적분법을 사용해야 하는데 반하여, 본 연구에서 구한 구성방정식은 Implicit 적분법을 적용할 수 있도록 Algorithm을 개발하였다. 다양한 하중시간을 갖는 충격하중을 선택한 구조물에 가해 해석한 결과, 하중시간이 길수록 변형이 증가하여 점소성 거동을 하며, 높은 고유진동수 성분이 점소성거동으로 거의 소멸된다는 결론을 얻었다.

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충격성 잡음의 이동 평균 모형에서 약신호 검파 (Weak Signal Detection in a Moving Average Model of Impulsive Noise)

  • 김인종;이주미;최상원;박소령;송익호
    • 한국통신학회논문지
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    • 제30권6C호
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    • pp.523-531
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    • 2005
  • 덧셈꼴 일차 이동 평균 잡음이 충격성일 때, 가장 비슷함 검파기와 준최적 가장 비슷함 검파기의 결정영역을 얻는다. 가장 비슷함 검파기와 준최적 가장 비슷함 검파기를 쌍극 신호 시스템에 적용하여 비트 오류율 성능을 견준다. 준최적 가장 비슷함 검파기는 가장 비슷함 검파기보다 덜 복잡하고 얼개도 간단하지만 성능은 거의 같다는 것을 보인다. 한편, 잡음 충격성이 심해질수록 일차 이동 평균 잡음에 알맞게 설계한 검파기와 독립이고 분포가 같은 잡음에 알맞게 설계한 검파기의 성능 차이가 커진다는 것도 보인다.

Evolutionary Neural Network based on Quantum Elephant Herding Algorithm for Modulation Recognition in Impulse Noise

  • Gao, Hongyuan;Wang, Shihao;Su, Yumeng;Sun, Helin;Zhang, Zhiwei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권7호
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    • pp.2356-2376
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    • 2021
  • In this paper, we proposed a novel modulation recognition method based on quantum elephant herding algorithm (QEHA) evolving neural network under impulse noise environment. We use the adaptive weight myriad filter to preprocess the received digital modulation signals which passing through the impulsive noise channel, and then the instantaneous characteristics and high order cumulant features of digital modulation signals are extracted as classification feature set, finally, the BP neural network (BPNN) model as a classifier for automatic digital modulation recognition. Besides, based on the elephant herding optimization (EHO) algorithm and quantum computing mechanism, we design a quantum elephant herding algorithm (QEHA) to optimize the initial thresholds and weights of the BPNN, which solves the problem that traditional BPNN is easy into local minimum values and poor robustness. The experimental results prove that the adaptive weight myriad filter we used can remove the impulsive noise effectively, and the proposed QEHA-BPNN classifier has better recognition performance than other conventional pattern recognition classifiers. Compared with other global optimization algorithms, the QEHA designed in this paper has a faster convergence speed and higher convergence accuracy. Furthermore, the effect of symbol shape has been considered, which can satisfy the need for engineering.

Affecting of Online Comments on Impulse Buying in E-Distribution

  • Tri Cuong, DAM
    • 유통과학연구
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    • 제21권3호
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    • pp.61-69
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    • 2023
  • Purpose: This study's purpose is to conduct empirical research on online comments affect Vietnamese consumers' impulsive buying in e-distribution. This study also considers affecting of browsing toward the urge to buy, and the urge to buy toward impulse buying in e-distribution. Research design, data and methodology: This study used the non-probability method to assemble data from 273 customers' online buying experiences via a Google Forms online survey. By using SmartPLS, the data were examined for reliability, convergent validity, discriminant validity of the variables, and proposed hypothesis testing. Results: The empirical study discovered that internet comments with utilitarian and hedonistic values had a positive effect on browsing, the urge to buy, and impulse purchases in e-distribution. Additionally, the result revealed that browsing had a positive influence on the urge to purchase. Likewise, the findings also disclosed that the urge to buy had a favorable effect on impulse buying. Conclusions: This study offered a thorough conceptual model of internet feedback influencing browsing, urge to buy, and impulsive purchases in e-distribution. Also, to increase impulsive buying, this study will assist e-distribution managers in concentrating on developing innovative marketing strategies and action plans that take into consideration consumers' internet reviews, browsing, and urge to buy.

강-소성 모델을 이용한 양단 고정보의 손상곡선 (Damage Curves of the Fixed Ends Beam with the Rigid-Plastic Model)

  • 김석기
    • 한국구조물진단유지관리공학회 논문집
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    • 제8권4호
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    • pp.239-246
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    • 2004
  • 충격하중에 대한 양단 고정보의 거동을 강 소성 모델을 이용하여 파악 하였다. 또한 손상을 발생시키는 정 역학적 붕괴하중과 이상임펄스에 대한 하중최대치 비와 임펄스 비를 이용하여 손상곡선을 작성하였다. 작성된 손상곡선으로부터 충격하중의 하중 최대치와 임펄스는 구조물의 안전에 중요 변수가 됨을 보였으며 또한 하중최대치 비와 임펄스 비로 작성된 손상곡선은 하중작용시간과 하중의 형태 그리고 구조물의 동적 특성이 함께 고려된 기준으로, 등가 동하중에 초점을 맞추어 일괄적으로 구조물의 안전성을 판단할 수 있는 방법이다.

충격파력을 받는 케이슨 방파제의 동적 해석 모델 (An Efficient Model for Dynamic Analysis of Caisson Breakwaters under Impulsive Wave Loadings)

  • 박우선;안희도
    • 한국해안해양공학회지
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    • 제7권1호
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    • pp.108-115
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    • 1995
  • 본 논문에서는 충격파력을 받는 케이슨 방파제의 동적거동해석 모델에 대해서 연구하였다. 케이슨 구조는 강체로 가정하였으며, 기초사석 및 지반은 반무한탄성지반이론에 의거하여 가상 부가질량, 스프링 및 감쇠계수로 이상화하였다. 주파수 의존 유체의 부가질량 및 감쇠계수는 시간기억함수와 무한대 주파수에 대한 부가질량으로 나타내었다. 또한, 케이슨의 영구적 활동을 모의하기 위하여 수평방향의 스프링을 형성거동을 하는 비선형 스프링으로 모형화하였다. 수리실험치와 비교결과, 본 모델은 상당히 좋은 결과를 줌을 알 수 있었다. 케이슨의 동적 거동에 영향을 주는 주요 인자의 변화에 따른 민감도 해석을 수행하였으며, 케이슨의 영구적 활동거리 및 한계중량 예측에의 적용성조사를 위한 수치실험도 병행하였다.

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Numerical procedures for extreme impulsive loading on high strength concrete structures

  • Danielson, Kent T.;Adley, Mark D.;O'Daniel, James L.
    • Computers and Concrete
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    • 제7권2호
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    • pp.159-167
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    • 2010
  • This paper demonstrates numerical techniques for complex large-scale modeling with microplane constitutive theories for reinforced high strength concrete, which for these applications, is defined to be around the 7000 psi (48 MPa) strength as frequently found in protective structural design. Applications involve highly impulsive loads, such as an explosive detonation or impact-penetration event. These capabilities were implemented into the authors' finite element code, ParaAble and the PRONTO 3D code from Sandia National Laboratories. All materials are explicitly modeled with eight-noded hexahedral elements. The concrete is modeled with a microplane constitutive theory, the reinforcing steel is modeled with the Johnson-Cook model, and the high explosive material is modeled with a JWL equation of state and a programmed burn model. Damage evolution, which can be used for erosion of elements and/or for post-analysis examination of damage, is extracted from the microplane predictions and computed by a modified Holmquist-Johnson-Cook approach that relates damage to levels of inelastic strain increment and pressure. Computation is performed with MPI on parallel processors. Several practical analyses demonstrate that large-scale analyses of this type can be reasonably run on large parallel computing systems.