• Title/Summary/Keyword: Beneficial Model

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A Research On Optimizing The User Experience Of Intangible Cultural Heritage App (무형문화유산 앱 사용자 경험 최적화에 관한 연구)

  • Mao, Pingting.;Cho, Dongming.
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.398-410
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    • 2022
  • The applications of intangible cultural heritage in China have encountered development bottlenecks due to poor user experience. In this paper, we begin to study the reasons why the user experience is not good, and to study design methods that enhance the user experience through the theory of five-factor model. Through literature study and comparative study of contestants, this paper investigates the advantages and disadvantages of their interaction design and summarizes the common problems. Next, a survey of these user populations will be conducted to find some design elements that affect the user experience. Finally, through empirical research, the design elements are incorporated into the theory of user experience modeling and case studies demonstrate that the application of the design elements is beneficial to improving the user experience.

Establishment of an Occupant Analysis modeling for Automobile Side Impact Using ATB Software (ATB 소프트웨어를 이용한 측면충돌시 승랙거동해석 모델링의 확립 및 분석)

  • 임재문;최중원;박경진
    • Transactions of the Korean Society of Automotive Engineers
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    • v.4 no.6
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    • pp.85-96
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    • 1996
  • Most protection systems such as seat belts and airbags are not effective means for side structure. There has been significant effort in the automobile industries in seeking other protective methods, such as stiffer structure and padding on the door inner panel. Therefore, a car-to-car side impact model has been developed using ATB occupant simulation program and validated for test data of the vehicle. Compared to the existing side impact models, the developed model has a more detailed vehicle side structure representation for the more realistic impact response of the door. This model include impact bar which effectively increases the side structure stiffness without reduction of space between the occupant and the door and padding for absorbing impact energy. The established model is applied to a 4-door vehicle. The parameter study indicated that a stiffer impact bar would reduce both the acceleration-based criteria, such as thoracic trauma index: TTI(d), and deformation-based criteria, such as viscous criterion(VC). Padding on the door inner panel would reduce TTI(d) while VC gives the opposite indication in a specified thickness range. For a 4-door vehicle, the stiffness enhancement of B-pillar is more beneficial than that of A-pillar for occupant injury severity indices.

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Abstracted Meta-model for Effective Capabilities Portfolio Management (CPM)

  • Lee, Joongyoon;Yoon, Taehoon;Park, Youngwon
    • Journal of the Korean Society of Systems Engineering
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    • v.7 no.1
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    • pp.31-41
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    • 2011
  • The purpose of this paper is to provide an abstracted meta-model for executing Capabilities Portfolio Management (CPM) effectively based on DoDAF2.0. The purpose of developing an architecture is for beneficial use of it. A good set of architectural artifacts facilitates the manipulation and use of them in meeting its usage objectives well. Systems engineering methodologies evolve to accommodate or to deal with enterprise or SoS/FoS level problems. And DoD's Capabilities Portfolio Management (CPM) is a good example which demonstrates enterprise or SoS level problems. However, the complexity of the architecture framework makes it difficult to develop and use the architecture models and their associated artifacts. DoDAF states that it was established to guide the development of architectures and to satisfy the demands of a structured, repeatable method for evaluating alternatives which add value to decisions and management practices. One of the objectives of DoDAF2.0 is to define concepts and models usable in CPM which is one of DoD's six core processes. However, DoDAF and various guidelines state requirements for CPM rather than how to. This paper provides methodology for CPM which includes process and tailored meta-models based on DoDAF Meta Model (DM2).

Box Model Approach for Indoor Air Quality (IAQ) Management in a Subway Station Environment

  • Song, Jihan;Pokhrel, Rajib;Lee, Heekwan;Kim, Shin-Do
    • Asian Journal of Atmospheric Environment
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    • v.8 no.4
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    • pp.184-191
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    • 2014
  • Air quality in a subway tunnel has been crucial in most of the subway environments where IAQ could be affected by many factors such as the number of passengers, the amount and types of ventilation, train operation factors and other facilities. A modeling approach has been introduced to manage the general IAQ in a subway station. Field surveys and $CO_2$ measurements were initially conducted to analyze and understand the relationship between indoor and outdoor air quality while considering internal pollution sources, such as passengers and subway trains, etc. The measurement data were then employed for the model development with other statistical information. For the model development, the algorithm of simple continuity was set up and applied to model the subway IAQ concerned, while considering the major air transport through staircases and tunnels. Monitored $CO_2$ concentration on the concourse and platform were correlated with modeling results where the correlation values for the concourse and platform were $R^2=0.96$ and $R^2=0.75$, respectively. It implies that the box modeling approach introduced in this study would be beneficial to predict and control the indoor air quality in subway environments.

Application of Linkage Disequilibrium Mapping Methods to Detect QTL for Carcass Quality on Chromosome 6 Using a High Density SNP Map in Hanwoo

  • Lia, Y.;Lee, J.H.;Lee, Y.M.;Kim, J.J.
    • Asian-Australasian Journal of Animal Sciences
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    • v.24 no.4
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    • pp.457-462
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    • 2011
  • The purpose of this study was to detect QTL for carcass quality on bovine chromosome (BTA) 6 using a high density SNP map in a Hanwoo population. The data set comprised 45 sires and their 427 Hanwoo steers that were born between spring of 2005 and fall of 2007. The steers that were used for progeny testing in the Hanwoo Improvement Center in Seosan, Korea, were genotyped with the 2,535SNPs on BTA6 that were embedded in the Illumina bovine SNP 50K chip. Four different linkage disequilibrium (LD) mapping models were applied to detect significant SNPs for carcass quality traits; the fixed model with a single marker, the random model with a single marker, the random model with haplotype effects using two adjacent markers, and the random model at hidden state. A total of twelve QTL were detected, for which four, one, three and four SNPs were detected on BTA6 under the respective models (p<0.001). Among the detected QTL, four, two, five and one QTL were associated with carcass weight, backfat thickness, longissimus dorsi muscle area, and marbling score, respectively (p<0.001). Our results suggest that the use of multiple LD mapping approaches may be beneficial in increasing power to detect QTL given a limited sample size and magnitude of QTL effect.

INCORPORATING PRIOR BELIEF IN THE GENERAL PATH MODEL: A COMPARISON OF INFORMATION SOURCES

  • Coble, Jamie;Hines, J. W esley
    • Nuclear Engineering and Technology
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    • v.46 no.6
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    • pp.773-782
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    • 2014
  • The general path model (GPM) is one approach for performing degradation-based, or Type III, prognostics. The GPM fits a parametric function to the collected observations of a prognostic parameter and extrapolates the fit to a failure threshold. This approach has been successfully applied to a variety of systems when a sufficient number of prognostic parameter observations are available. However, the parametric fit can suffer significantly when few data are available or the data are very noisy. In these instances, it is beneficial to include additional information to influence the fit to conform to a prior belief about the evolution of system degradation. Bayesian statistical approaches have been proposed to include prior information in the form of distributions of expected model parameters. This requires a number of run-to-failure cases with tracked prognostic parameters; these data may not be readily available for many systems. Reliability information and stressor-based (Type I and Type II, respectively) prognostic estimates can provide the necessary prior belief for the GPM. This article presents the Bayesian updating framework to include prior information in the GPM and compares the efficacy of including different information sources on two data sets.

Supervised-learning-based algorithm for color image compression

  • Liu, Xue-Dong;Wang, Meng-Yue;Sa, Ji-Ming
    • ETRI Journal
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    • v.42 no.2
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    • pp.258-271
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    • 2020
  • A correlation exists between luminance samples and chrominance samples of a color image. It is beneficial to exploit such interchannel redundancy for color image compression. We propose an algorithm that predicts chrominance components Cb and Cr from the luminance component Y. The prediction model is trained by supervised learning with Laplacian-regularized least squares to minimize the total prediction error. Kernel principal component analysis mapping, which reduces computational complexity, is implemented on the same point set at both the encoder and decoder to ensure that predictions are identical at both the ends without signaling extra location information. In addition, chrominance subsampling and entropy coding for model parameters are adopted to further reduce the bit rate. Finally, luminance information and model parameters are stored for image reconstruction. Experimental results show the performance superiority of the proposed algorithm over its predecessor and JPEG, and even over JPEG-XR. The compensation version with the chrominance difference of the proposed algorithm performs close to and even better than JPEG2000 in some cases.

Procedures of Transform the IDEF3 Process Model of Concurrent Design into CPM Precedence Network Model (동시공학적 설계의 IDEF3프로세스 모델을 CPM Network 모델로 변환하기 위한 절차)

  • 강동진
    • Journal of Korea Society of Industrial Information Systems
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    • v.4 no.2
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    • pp.73-80
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    • 1999
  • A major concern in Concurrent Engineering is the control and management of workload As a general rule, leveling the peak of workload in a period is difficult because concurrent processing is comprised of various processed, including overlapping, paralleling and looping and so on. Therefore workload management with resource constraints is so beneficial that effective methods to analyze design process are momentous. This paper presents a procedure to transform the IDEF3 process model into the precedence network model for more useful assessment of the process. This procedure is expected to facilitate resolving resource constrained scheduling problems more systematically in Concurrent Engineering environment.

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A Study on Timing Modeling and Response Time Analysis in LIN Based Network System (LIN 프로토콜 시간 모델링 및 메시지 응답 시간 해석에 관한 연구)

  • Youn, Jea-Myoung;Sunwoo, Myoung-Ho;Lee, Woo-Taik
    • Transactions of the Korean Society of Automotive Engineers
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    • v.13 no.6
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    • pp.48-55
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    • 2005
  • In this paper, a mathematical model and a simulation method for the response time analysis of Local Interconnect Network(LIN) based network systems are proposed. Network-induced delays in a network based control system can vary widely according to the transmission time of message and the overhead time of transmission. Therefore, in order to design a distributed control system using LIN network, a method to predict and verify the timing behavior of LIN protocol is required at the network design phase. Furthermore, a simulation environment based on a timing model of LIN protocol is beneficial to predict the timing behavior of LIN. The model equation is formulated with six timing parameters deduced from timing properties of LIN specification. Additionally, LIN conformance test equations to verify LIN device driver are derived with timing constraints of the parameters. The proposed model equation and simulation method are validated with a result that is measured at real LIN based network system.

Perceived Risk and Intention to Use Credit Cards: A Case Study in Vietnam

  • TRINH, Nam Hoang;TRAN, Ha Hong;VUONG, Quan Duc Hoang
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.949-958
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    • 2021
  • This study aims to develop a theoretical model in order to determine factors affecting consumer intention to use credit cards by combining Theory of perceived risk and Technology acceptance model. Despite of perspective of consequences in prior studies on related research fields, this study focuses on the sources of perceived risk, including transaction, payment and credit risks, which are proposed and measured in a preliminary research. A measurement model and a structural model with the presence of perceived risk in sources are tested in a formal research with data collected from 538 bank customers. An analysis results show that payment risk, usefulness, transaction risk, ease of use, and credit risk influence significantly Vietnamese consumers' intention to use credit cards in decreasing order of influence. These factors account for 64.6% of the variation in intended use. All three dimensions of perceived risk have a negative effect on the intention to use, with the total impact greater than the level of influence of the other two factors of usefulness and ease of use. These findings can be beneficial to banks in enacting policies to attract more consumers and to allocate resources for improving their credit card business.