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Design of Hot-spot generator for inserting content-based interactive advertising on DMB broadcasting

  • Park, Tae-Jin;Park, Se-Hyun;Lim, Soon-Bum;Choy, Yoon-Chul
    • Journal of Korea Multimedia Society
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    • v.11 no.12
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    • pp.1765-1774
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    • 2008
  • Due to recent increase of product placement(aka. PPL) in TV drama and entertainment program, the audience of these programs is exposed to the advertisement in the form of the props and backgrounds without discernment. Advancement in digital data broadcasting technology enabled advertisers to insert detailed information of the product or associated advertisement link into the content of the broadcast program as an interactive advertisement. With the interactive advertisement, the audience can focus on the content of the program and the advertiser can create an advertisement with a rich content through the interaction between the advertisement and the audience. It is possible because the interactive advertisement is dynamic advertisement behavior only activated by the audience's intention. In this research, we develop a Hot-spot generator to insert interactive advertisement in the DMB broadcast program. We also suggest dynamic Hot-spot generation technique that allows the Hot-spot object to follow not only the shape of the advertising object in the program, but also the movement of the object as the program progresses.

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The Determinants of Customer Loyalty: The Case Study of Saigon Co.op Supermarkets in Vietnam

  • NGUYEN, Cuong Quoc;PHAM, Ngan
    • Journal of Distribution Science
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    • v.19 no.5
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    • pp.61-68
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    • 2021
  • Purpose: Retailing is one of the fastest-growing sectors in Vietnam. In the sight of foreign investors, the Vietnamese retailing market is very prospective. However, the current competition is very intensive, and retailers are keen on gaining new customers. Hence, Vietnamese retailers have paid more attention to customer loyalty. Saigon Co.op is one of the largest retailers in Vietnam, but its consumers have more choices over a retailer. As a result, Saigon Co.op has realized the significance of customer loyalty. This study aims to determine the factors impacting customer loyalty of Saigon Co.op supermarket in Vietnam. Research design, data and methodology: this study applied the multiple regression analysis with 250 samples collected from Saigon Co.op customers. The questionnaire is provided to respondents via Google Form, and the link is sent to the fan page of Co.op mart on Facebook. Two hundred eighty-seven samples were collected, but 37 samples were removed due to missing values. Exploratory Factor Analysis (EFA) and regression analysis are used for data analysis on SPSS software version 20. Results: The findings show all four determinants of Saigon Co.op's customer loyalty, including Product Quality, Brand Image, Price Strategy and Service Quality. Conclusions: managerial recommendations are provided for supermarkets to improve their customer loyalty in Vietnam and other emerging markets. Limitations and suggestions for further research are also discussed.

Development about Welding-process Automatic System on the department of Axle Casing Nut for Commercial Vehicle (상용차용 액셀 케이싱의 너트부 용접공정 자동화 시스템 개발)

  • Kim, Jae-Yeol;Yoo, Sin;Oh, Sung-Min;Jang, Jong-Hoon
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.810-814
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    • 1996
  • The purpose of this exclusive welding-machine process using the welding Torch-rotation form is to develop a mechanism which can solve the problem of twisted welding wires and cables. The technique was developed by revising the torch position and smooth controlling of both the formal and reverse rotation. Some of the advantages of using the Torch-rotation form over the Work-rotation technique are the practical uses of increased work space and link work with the automation system of the plant. Using this welding machine process, It is possible to design a specific tool in order to solve the implemental problem. And I produced a control plate which can manipulate the progress of the entire process at the work place. Even if another kind of axle casing's welding work is used this process can be utilized if the fixed tip and work is produced and changed. The development if this exclusive welding-machine could reduce the manpower of skilled welding labor and after considerable analysis, this machine was found to increase productivity and better quality product in comparison to the handmade product.

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Computer Aided Process Planning for 3D Printing

  • Park, Hong-Seok;Tran, Ngoc-Hien
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.24 no.2
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    • pp.148-154
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    • 2015
  • Computer aided process planning (CAPP) keeps an important role between the design and manufacturing engineering processes. A CAPP system is a digital link between a computer aided design (CAD) model and manufacturing instructions. CAPP have been researched and applied in manufacturing filed, however, one manufacturing area where CAPP has not been extensively researched is rapid prototyping (RP). RP is a technique for creating directly a three dimensional CAD data into a physical prototype. RP enables to build physical models automatically and to use to reduce the time for the product development cycle as well as to improve the final quality of the designed product. Three-dimensional (3D) printing is one kind of RP that creates three-dimensional objects from CAD models. The paper presents a computer aided process planning system for printing medical products. 3D printing has been used to solve complex medical problems such as surgical instruments, bioengineered products, medical implants, and surgical guides.

Existing Knowledge in the Organization and the New Product Performance (조직 내 기존지식과 신제품 성과에 관한 연구)

  • Suh, Sang-Hyuk;Cho, Sung-Bok;Jin, Yun-Kyung
    • Journal of Korea Technology Innovation Society
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    • v.9 no.4
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    • pp.884-908
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    • 2006
  • The focus of this study is to analyze the link between existing knowledge in the organization and NPD performance. After a comprehensive literature review, we identified factors influential in the management of existing knowledge, such as efficiency of information acquisition, shared interpretation, structure of organization. Through an empirical research, we found that existing knowledge was positively associated with the efficiency of information acquisition and shared interpretation. Additionally, a strong relationship was found between information acquisition efficiency and NPD. Shared information, however, was not found to be associated with NPD. This result, make us recognize the necessity to better understand some subprocesses through which existing knowledge affects new product performance.

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Enhanced TFRC for High Quality Video Streaming over High Bandwidth Delay Product Networks

  • Lee, Sunghee;Roh, Hyunsuk;Lee, Hyunwoo;Chung, Kwangsue
    • Journal of Communications and Networks
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    • v.16 no.3
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    • pp.344-354
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    • 2014
  • Transmission control protocol friendly rate control (TFRC) is designed to mainly provide optimal service for unicast applications, such as multimedia streaming in the best-effort Internet environment. However, high bandwidth networks with large delays present an environment where TFRC may have a problem in utilizing the full bandwidth. TFRC inherits the slow-start mechanism of TCP Reno, but this is a time-consuming process that may require many round-trip-times (RTTs), until an appropriate sending rate is reached. Another disadvantage inherited from TCP Reno is the RTT-unfairness problem, which severely affects the performance of long-RTT flows. In this paper, we suggest enhanced TFRC for high quality video streaming over high bandwidth delay product networks. First, we propose a fast startup scheme that increases the data rate more aggressively than the slow-start, while mitigating the overshooting problem. Second, we propose a bandwidth estimation method to achieve more equitable bandwidth allocations among streaming flows that compete for the same narrow link with different RTTs. Finally, we improve the responsiveness of TFRC in the presence of severe congestion. Simulation results have shown that our proposal can achieve a fast startup and provide fairness with competing flows compared to the original TFRC.

The Mediating Role of Perceived Risk in the Relationships Between Enduring Product Involvement and Trust Expectation (지속적 제품관여도와 소비자 요구신뢰수준 간의 영향관계: 인지된 위험의 매개 역할에 대한 실증분석을 중심으로)

  • Hong, Ilyoo B.;Kim, Taeha;Cha, Hoon S.
    • Asia pacific journal of information systems
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    • v.23 no.4
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    • pp.103-128
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    • 2013
  • When a consumer needs a product or service and multiple sellers are available online, the process of selecting a seller to buy online from is complex since the process involves many behavioral dimensions that have to be taken into account. As a part of this selection process, consumers may set minimum trust expectation that can be used to screen out less trustworthy sellers. In the previous research, the level of consumers' trust expectation has been anchored on two important factors: product involvement and perceived risk. Product involvement refers to the extent to which a consumer perceives a specific product important. Thus, the higher product involvement may result in the higher trust expectation in sellers. On the other hand, other related studies found that when consumers perceived a higher level of risk (e.g., credit card fraud risk), they set higher trust expectation as well. While abundant research exists addressing the relationship between product involvement and perceived risk, little attention has been paid to the integrative view of the link between the two constructs and their impacts on the trust expectation. The present paper is a step toward filling this research gap. The purpose of this paper is to understand the process by which a consumer chooses an online merchant by examining the relationships among product involvement, perceived risk, trust expectation, and intention to buy from an e-tailer. We specifically focus on the mediating role of perceived risk in the relationships between enduring product involvement and the trust expectation. That is, we question whether product involvement affects the trust expectation directly without mediation or indirectly mediated by perceived risk. The research model with four hypotheses was initially tested using data gathered from 635 respondents through an online survey method. The structural equation modeling technique with partial least square was used to validate the instrument and the proposed model. The results showed that three out of the four hypotheses formulated were supported. First, we found that the intention to buy from a digital storefront is positively and significantly influenced by the trust expectation, providing support for H4 (trust expectation ${\rightarrow}$ purchase intention). Second, perceived risk was found to be a strong predictor of trust expectation, supporting H2 as well (perceived risk ${\rightarrow}$ trust expectation). Third, we did not find any evidence of direct influence of product involvement, which caused H3 to be rejected (product involvement ${\rightarrow}$ trust expectation). Finally, we found significant positive relationship between product involvement and perceived risk (H1: product involvement ${\rightarrow}$ perceived risk), which suggests that the possibility of complete mediation of perceived risk in the relationship between enduring product involvement and the trust expectation. As a result, we conducted an additional test for the mediation effect by comparing the original model with the revised model without the mediator variable of perceived risk. Indeed, we found that there exists a strong influence of product involvement on the trust expectation (by intentionally eliminating the variable of perceived risk) that was suppressed (i.e., mediated) by the perceived risk in the original model. The Sobel test statistically confirmed the complete mediation effect. Results of this study offer the following key findings. First, enduring product involvement is positively related to perceived risk, implying that the higher a consumer is enduringly involved with a given product, the greater risk he or she is likely to perceive with regards to the online purchase of the product. Second, perceived risk is positively related to trust expectation. A consumer with great risk perceptions concerning the online purchase is likely to buy from a highly trustworthy online merchant, thereby mitigating potential risks. Finally, product involvement was found to have no direct influence on trust expectation, but the relationship between the two constructs was indirect and mediated by the perceived risk. This is perhaps an important theoretical integration of two separate streams of literature on product involvement and perceived risk. The present research also provides useful implications for practitioners as well as academicians. First, one implication for practicing managers in online retail stores is that they should invest in reducing the perceived risk of consumers in order to lower down the trust expectation and thus increasing the consumer's intention to purchase products or services. Second, an academic implication is that perceived risk mediates the relationship between enduring product involvement and trust expectation. Further research is needed to elaborate the theoretical relationships among the constructs under consideration.

An Automated Process Planning and Die Design System for Quasi-axisymmetric Cold Forging Product (준축대칭 제품의 냉간단조 공정설계 및 금형설계 자동화 시스템 개발)

  • Park, Jong-Ok;Lee, Joon-Ho;Jung, Sung-Yuen;Kim, Chul;Kim, Moon-Saeng
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.1
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    • pp.107-118
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    • 2002
  • This paper deals with an automated computer-aided process planning and die design system by which designer can determine operation sequences even if they have a little experience in process planning and die design of quasi-axisymmetric cold forging product by cold former working. The approach to the system is based on knowledge-based rules and a process knowledge base consisting of design rules is built. Knowledge for the system is formulated from plasticity theories, empirical results and the empirical knowledge of field experts. Programs for the system have been written in AutoLISP for the AutoCAD using a personal computer. An attempt is made to link programs incorporating a number of expert design rules with the process variables obtained by commercial FEM softwares, DEFORM and ANSYS, to form a useful package. The system is composed of three main modules and five sub-modules. The process planning and die design module considers several factors, such as the complexities of preform geometry, punch and die profiles, specifications of available cold farmer, and the availability of standard parts. As the system using 2D geometry recognition is integrated with the technology of process planning, die design, and CAE analysis, the standardization of die parts for wheel bolt requiring cold forging process is possible. The developed system makes it possible to design and manufacture quasi-axisymmetric cold forging product more efficiently.

A Study on the Trend of Last Mile Mobility for Delivery in IAA Transportation 2022 Exhibition (IAA Transportation 2022 전시회에서의 라스트 마일 딜리버리를 위한 모빌리티 동향 연구)

  • Sungjoon Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.199-204
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    • 2023
  • The COVID-19 pandemic, which began in early 2020, became an opportunity for unprecedented global reflection and change. And it served as an opportunity to promote a new paradigm in all areas of society, including politics, economy, culture, and industry. In the midst of this upheaval, the 2022 IAA exhibition, which was held in four years, was held as an exhibition that even proposed new concepts of smart logistics and mobility services. Among them, various concepts were also proposed in exhibitions related to last mile mobility, the focus of this study.As a result of this study, the main trend of last mile mobility shown in the IAA 2022 exhibition is that the property of physical products with functions as social interfaces is expanding into the PSS (Product-Service System) ecosystem in which products and services are systematically linked. As a result, the need for a methodological approach that can organically link the design planning of social services and the development of products corresponding to it was derived.

A Case Study on Product Production Process Optimization using Big Data Analysis: Focusing on the Quality Management of LCD Production (빅데이터 분석 적용을 통한 공정 최적화 사례연구: LCD 공정 품질분석을 중심으로)

  • Park, Jong Tae;Lee, Sang Kon
    • Journal of Information Technology Services
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    • v.21 no.2
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    • pp.97-107
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    • 2022
  • Recently, interest in smart factories is increasing. Investments to improve intelligence/automation are also being made continuously in manufacturing plants. Facility automation based on sensor data collection is now essential. In addition, we are operating our factories based on data generated in all areas of production, including production management, facility operation, and quality management, and an integrated standard information system. When producing LCD polarizer products, it is most important to link trace information between data generated by individual production processes. All systems involved in production must ensure that there is no data loss and data integrity is ensured. The large-capacity data collected from individual systems is composed of key values linked to each other. A real-time quality analysis processing system based on connected integrated system data is required. In this study, large-capacity data collection, storage, integration and loss prevention methods were presented for optimization of LCD polarizer production. The identification Risk model of inspection products can be added, and the applicable product model is designed to be continuously expanded. A quality inspection and analysis system that maximizes the yield rate was designed by using the final inspection image of the product using big data technology. In the case of products that are predefined as analysable products, it is designed to be verified with the big data knn analysis model, and individual analysis results are continuously applied to the actual production site to operate in a virtuous cycle structure. Production Optimization was performed by applying it to the currently produced LCD polarizer production line.