• Title/Summary/Keyword: Extended Model

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Verification of Temporal Relations on SMIL 2.0 Document using an Extended Temporal Interval Model (확장된 시간 구간 모델을 이용한 SMIL2.0 문서의 시간관계 검증)

  • Kim, Kyung-Deok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.5
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    • pp.828-836
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    • 2008
  • This paper suggests a method for verification of temporal relations on SMIL 2.0 document using an extended temporal interval model. The SMIL 2.0 document has more asynchronous temporal relations and supports more interactive relations between objects than traditional SMIL document. But it is higher to produce temporal inconsistency by various interactive relations between objects. So the suggested verification method expresses SMIL 2.0 document as functional relations based on an extended temporal interval model and verifies SMIL 2.0 document using interactive relations and temporal intervals between objects. Applications to the verification method are as follows; multiuser interactive contents, online-learning, etc.

Retail Distribution Strategies for Train Tickets: The Extended UTAUT Model

  • PARK, Yoon-Joo;AHN, Sung-Sook
    • Journal of Distribution Science
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    • v.19 no.9
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    • pp.5-17
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    • 2021
  • Purpose: As mobile devices are commonly used and contact-free services are widespread due to the COVID-19 pandemic in the recent distribution environment, this study suggests retail strategies for consumers using high-speed railways. To this end, we analyzed how consumer perception on technologies necessary for use of mobile apps is related to the attitude that drives consumers to continue using the app services. Research design, data and methodology: Based on the extended unified theory of technology acceptance and use of technology model by Venkatesh, Morris, Davis and Davis (2003), we added variables proposed by existing theories that studied the technology acceptance model from multiple perspectives and empirically analyzed the relationship between user satisfaction and use intention with structural equation modeling. Results: As expected, factors necessary for the use of app services such as performance expectancy, social influence, price value, facilitating conditions, security, and aesthetics had positive effects on user satisfaction, whereas the effect of effort expectancy on user satisfaction was rejected. And user satisfaction was found to have a significant effect on intention to use. Conclusions: The results provide implications that strategic retail management of the above factors can motivate passengers to continuously use high-speed railways.

Genetic Algorithm based hyperparameter tuned CNN for identifying IoT intrusions

  • Alexander. R;Pradeep Mohan Kumar. K
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.3
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    • pp.755-778
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    • 2024
  • In recent years, the number of devices being connected to the internet has grown enormously, as has the intrusive behavior in the network. Thus, it is important for intrusion detection systems to report all intrusive behavior. Using deep learning and machine learning algorithms, intrusion detection systems are able to perform well in identifying attacks. However, the concern with these deep learning algorithms is their inability to identify a suitable network based on traffic volume, which requires manual changing of hyperparameters, which consumes a lot of time and effort. So, to address this, this paper offers a solution using the extended compact genetic algorithm for the automatic tuning of the hyperparameters. The novelty in this work comes in the form of modeling the problem of identifying attacks as a multi-objective optimization problem and the usage of linkage learning for solving the optimization problem. The solution is obtained using the feature map-based Convolutional Neural Network that gets encoded into genes, and using the extended compact genetic algorithm the model is optimized for the detection accuracy and latency. The CIC-IDS-2017 and 2018 datasets are used to verify the hypothesis, and the most recent analysis yielded a substantial F1 score of 99.23%. Response time, CPU, and memory consumption evaluations are done to demonstrate the suitability of this model in a fog environment.

The Evolutionary Trends and Influential Factors Analysis of Agricultural Trade between South Korea and RCEP Member Countries

  • Qianli Wu;Jinyan Tian;Haiyan Yu;Ziyang Liu
    • Journal of Internet Computing and Services
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    • v.25 no.4
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    • pp.73-86
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    • 2024
  • With the acceleration of regional economic integration, the agricultural trade network within the RCEP region presents new opportunities and challenges for member countries. This study focuses on agricultural trade among RCEP members from 2011 to 2020, utilizing social network analysis to explore the structural characteristics and evolutionary trends of the trade network. Additionally, an extended gravity model is employed to empirically analyze the key factors influencing South Korea's agricultural trade with other member countries. The findings reveal that: (1) Agricultural trade relationships within the RCEP region are stable and mature, with high interconnectivity in the trade network, indicating a trend towards balanced development. (2) The positions of member countries within the agricultural trade network are characterized by both high density and heterogeneity. (3) South Korea's agricultural trade with RCEP member countries is positively influenced by the economic size, population size, and governance level of its trading partners, while South Korea's own indicators show no significant effect. The trade distance between South Korea and member countries also has a positive impact on agricultural trade. By combining social network analysis with an extended gravity model, this study provides a multi-faceted quantitative analysis of the RCEP agricultural trade network, offering new insights into regional agricultural trade. It also provides empirical evidence for agricultural trade cooperation between South Korea and other RCEP countries.

The Information Modeling Method based on Extended IFC for Alignment-based Objects of Railway Track (선형중심 객체 관리를 위한 확장된 IFC 기반 철도 궤도부 정보모델링 방안)

  • Kwon, Tae Ho;Park, Sang I.;Seo, Kyung-Wan;Lee, Sang-Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.31 no.6
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    • pp.339-346
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    • 2018
  • An Industry Foundation Classes(IFC), which is a data schema developed focusing on architecture, is being expanded to civil engineering structures. However, it is difficult to create an information model based on extended IFC since the BIM software cannot provide support functions. To manage a railway track based on the extended IFC, this paper proposed a method to create an alignment-centered separated railway track model and convert it to an extended IFC-based information model. First, railway track elements have been classified into continuous and discontinuous structures. The continuous structures were created by an alignment-based software, and discontinuous structures were created as independent objects through linkage of the discretized alignment. Second, a classification system and extended IFC schema for railway track have been proposed. Finally, the semantic information was identified by using the property of classification code and user interface. The availability of the methods was verified by developing an extended IFC-based information model of the Osong railway site.

The Effects of The Parent Brand-Congruity on the Attitude to Expanded Brand (모 브랜드-일치성이 확장브랜드에 대한 태도에 미치는 영향)

  • Kang, Min-Jung;Hwang, Hee-Joong
    • Journal of Distribution Science
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    • v.17 no.2
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    • pp.77-89
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    • 2019
  • Purpose - This study presents the relationships between parent brand-self image congruence, parent brand -functional congruity, perceived fit between parent brand and extension product, and consumer's attitude toward extension product using the structural equation model. As for preceding concepts having a direct effect on consumer's attitude toward brand extension, the study focuses on parent brand-self image congruence and parent brand-functional congruity. It also looks at the effect of parent brand-self image congruence and parent brand-functional congruity on the consumer's attitude toward extension product and identifies if the perceived fit between parent brand and extension product is a concept playing a mediating role between parent brand-self image congruence or parent brand-functional congruity and consumer's attitude toward brand extension product. Research design, data, and Methodology - SPSS for Windows 18.0 and AMOS 18.0 were used for data analysis. Then, the Cronbach's α coefficient was obtained using SPSS for Windows 18.0 to measure reliability. In addition, the convergence and discriminative measures of the measured items were statistically verified using AMOS 18.0. Finally, we have validated a path model and a parameter model in which brand personality-self-matched attitude toward brand extension. Results - Studies have shown that the impact of parent brand-self image consistency and parent brand-functional consistency on the attitude of extended products was positive. Perceived fit between parent brand and extension products has been shown to play a role of intermediary between parent brand-self image congruence and consumer attitudes to extended products. However, perceived fit between parent brand and extension products did not play a role as intermediary between the parent brand-functional congruity and the attitude toward the extended product. Finally, in relation to the causal relationship between parent brand-congruity (self image/functionality) and attitudes to extended products. The effect of parent brand-functional coherency on attitudes toward extended products was found to be greater in groups with higher involvement than in those with lower involvement. Conclusions - Although few studies have been done on what variables mediated when parent brand-self image consistency and parent brand-functional coherency affect consumer attitude, this paper is significant in finding whether perceived fitness between the parent brand-congruity and the extension product is mediated.

The viewpoint-based product information modeling in collaborative product development (협업적 제품개발에서의 관점기반 제품정보 모델링)

  • 채희권;최영환;김광수
    • Proceedings of the CALSEC Conference
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    • 2003.09a
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    • pp.54-59
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    • 2003
  • The information sharing is essential to make collaboration by participants in the collaboration environment. The sharing of the information is necessary to reduce time-to-market of new Product. In this paper, V2-model is proposed far supporting the sharing of the information on product development. V2-model supports collaborative product development in design and supply chain. Through viewpoints, V2-model supports 1) two-level structure that consist of private level and public level ,2) level-up process and 3) product development process. The public level information supports to share the product information on collaborative supply chain and design. The viewpoints in V2-model are divided into public viewpoints that point to the public level information and private viewpoints that point to the private level information. Private viewpoints are transformed into public viewpoints. The extended Topic Map has B-Topic, S-Topic and View for representing V2-model in this paper. The level-up process of V2-model is implemented through the merging of S-Topics. V2-model is implemented with washing machine model using extended Topic Maps. In this model, the public viewpoints and private viewpoints are represented and the level-up process, which transforms private viewpoints into public viewpoints, is implemented.

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Wireless Extension of Profibus Network with Virtual Polling Mode (가상 폴링 모드를 애용한 Profibus 네트워크에 무선 확장)

  • Kim, Tae-Jun;Lee, Kyung-Chang;Kang, Song;Lee, Seok
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.107-107
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    • 2000
  • This paper focuses on a method to connect mobile devices such as mobile robot, ACV and UTC with Profibus network. In this paper, the IEEE 802.11 wireless LAN is used for wireless extension of Frofibus, and four major issues are introduced to implement the wireless extended Profibus; First, the integration method between Profibus and IEEE 802.11 is introduced. Second, the implementation method of gateway is proposed. Three, the virtual polling mode algorithm is developed for satisfaction of real-time characteristics required in industrial network. Finally, we implement a experimental model, and carried out the performance analysis of wireless extended Profibus. This results show that wireless extended Profibus is suitable to industrial network such as automated container terminal.

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Privacy Control Using GRBAC In An Extended Role-Based Access Control Model (확장된 역할기반 접근제어 모델에서 GRBAC을 이용한 프라이버시 제어)

  • Park Chong hwa;Kim Ji hong;Kim Dong kyoo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.3C
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    • pp.167-175
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    • 2005
  • Privacy enforcement has been one of the most important problems in IT area. Privacy protection can be achieved by enforcing privacy policies within an organization's online and offline data processing systems. Traditional security models are more or less inappropriate for enforcing basic privacy requirements, such as purpose binding. This paper proposes a new approach in which a privacy control model is derived from integration of an existing security model. To this, we use an extended role-based access control model for existing security mechanism, in which this model provides context-based access control by combining RBAC and domain-type enforcement. For implementation of privacy control model we use GRBAC(Generalized Role-Based Access Control), which is expressive enough to deal with privacy preference. And small hospital model is considered for application of this model.

User Model Expansion for Adaptive Learning in Ubiquitous Environment (유비쿼터스 환경에서 적응적 학습을 위한 사용자 모델 확장)

  • Jeong, Hwa-Young;Kim, Yoon-Ho
    • Journal of Advanced Navigation Technology
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    • v.14 no.2
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    • pp.278-283
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    • 2010
  • In this paper, we designed and proposed framework of extended user model to support student tailored learning in ubiquitous environment. For the purpose, existents model that is domain model, user model, adaptation model and interaction model connected to LMS(Learning Management System) and LCMS(Learning Contents Management System). Students information management process that is extended user model is in between LMS and adaptive learning system. And the process connected u-LMS to use u-learning. u-LMS and u-LCMS could support the learning contents through exchange the contents according to connect and request from the students.