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Automated Molding Design Methodology to Optimize Multiple defects in Injection Molded Parts

  • Park, Jong-Cheon;Kim, Byung H.
    • International Journal of Precision Engineering and Manufacturing
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    • v.1 no.1
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    • pp.133-145
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    • 2000
  • Plastic molding designers are frequently faced with optimizing multiple defects in injection molded parts. these defects are usually in conflict with each other, and thus a tradeoff needs to be made reach a final compromised solution. In this study, an automated injection molding design methodology has been developed to optimize multiple defects of injection molded parts. Two features of the proposed methodology are as follows: one is to apply the utility theory to transform the original multiple objective optimization problem into single objective optimization problem with utility as objective function, the other is an implementation of a direct search-based injection molding optimization procedure with automated consideration of process variation. The modified complex method is used as a general optimization tool in this research. The developed methodology was applied to an actual molding design and the results showed that the methodology was useful through the CAE simulation using a commercial injection molding software package. Applied to production, this study will be of immense value to industry in reducing the product development time and enhancing the product quality.

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The study on the property of material for the shim of stone cultural properties (석조문화재 받침용 쐐기 재질의 물성 실험 연구)

  • Eom, Doo-Sung;Hong, Jung-Ki;Kim, Sa-Dug;Kang, Dai-Il;Lee, Myong-Hee
    • 보존과학연구
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    • s.21
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    • pp.101-118
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    • 2000
  • Stone cultural properties(pagoda, Buddhist statue etc.) is moved in original place for many reasons and restored after taking to pieces for structural safety. With the movement and restoration after taking to pieces, the cast iron is used for the sake of a fixation and horizontality. The stone cultural properties are spoiled the beauty and accelerated the weathering because of the corrosion product of cast iron. So we need to substitute for the improved property in all aspects. We are executed the corrosion test and inquired the property of material on the usable material for the shim of stone cultural properties. That is the Cast iron, Stainless steel, Titanium and Fiber Reinforced Plastics. In the result of the physical property and strength, the Stainless steel and Titanium was superior to the Cast iron. And the Stainless steel and Titanium was slower than the Cast iron in the corrosion velocity for the acid, salt and rain. If the shim is substitute the Stainless steel or Titanium for the Cast iron, the stone cultural properties are able to reduce the pollution of stone cultural properties by corrosion product and should not happen in the matter of stone pagoda.

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Improvement of Marketing and Distribution of Gyeonggi Rice Brand (경기미의 유통개선 방안에 관한 연구;미곡종합처리장의 벼 가공 및 판매를 중심으로)

  • Lee, Won-Suk;Jung, Gu-Hyun;Kim, Hyeong-Duk;Kim, Hee-Dong
    • Journal of Agricultural Extension & Community Development
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    • v.14 no.1
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    • pp.171-195
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    • 2007
  • Gyeonggi rice has been placed relatively favorable market position in the domestic rice market. With the superiority of its quality, gyeonggi rice has been well recognized to consumers. The price of gyeonggi rice has placed higher position than that of others. But, gyeonggi rice are facing crisis on the competition by regional brands. Therefore, this study was carried out to find the differentiated marketing strategies on problem related with the product differentiation and brand marketing of gyeonggi rice. In order to find out how much the effort on the product differentiation of gyeonggi rice affects the price and brand recognition, fifty RPCs in gyeonggi province were surveyed. As the results, $22{\sim}23%$ of harvested rice which was gathered into RPC was come out 'obscurity of production origin' when we consider material hull rice in the original production territory by collecting time and channel. With comparing sales weight of gyeonggi rice by the place of shipment, agricultural cooperative channel was the highest by 44.7%. And, wholesaler comes to 17.7%, discount outlet store was 13.9%, large quantity delivery in business was 11.1%, and department store was only 5.2%. Finally, we could consider to adopt the traceability system on gyeonggi rice distribution system from production to consumers' table to get consumers' credibility and compete imported high quality rice.

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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.

Automated Mold Design to Optimize Multi-Quality Characteristics in Injection Molded Parts Based on the Utility Theory and Modified Complex Method (효용이론과 수정콤플렉스법에 기초한 사출 성형품의 다특성 최적화를 위한 자동 금형 설계)

  • Park, Byung-H
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.9
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    • pp.210-221
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    • 2000
  • Plastic mold designers and frequently faced with optimizing multi-quality issues in injection molded parts. These issues are usually in conflict with each other and thus tradeoff needs to be made to reach a final compromised solution. in this study an automated injection molding design methodology has been developed to optimize multi-quality characteristics of injection molded parts. The features of the proposed methodology are as follows : first utility theory is applied to transform the original multi-objective problem into single-objective problem. Second is an implementation of a direct search-based injection molding optimization procedure with automated consideration of robustness against process variation. The modified complex method is used as a general optimization tool in this study. The developed methodology was applied to an actual mold design and the results showed that the methodology was useful through the CAE simulation using a commercial injection molding software package. Applied to production this study will be of immense value to companies in reducing the product development time and enhancing the product quality.

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The Influence of Online-Store Cue on Consumers Perceived Quality and Online Purchase Intention

  • Liu, Fei;Sun, Yang;Na, Seung-Hwa
    • Journal of Distribution Science
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    • v.11 no.4
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    • pp.13-21
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    • 2013
  • Purpose - The purpose of this research is to find out the relationship between cue utilization and perceived website quality and purchase intention for an online store. To achieve this, we suggest a conceptual model that examines the relationship among product introductions, online communications, online reviews, perceived quality, and online purchase intention. Research design, data, and methodology - This research utilizes SPSS 19.0 and AMOS17.0 to analyze the data. We used factor analysis to shape the structure of the original data and saved the information with multiple dimensions. We then deployed the AMOS software to analyze the model. We performed both factor analysis and structural equation analysis. Results - The findings of this study show that graphic and word descriptions, online chatting, and online reviews have a positive influence on perceived quality. Furthermore, perceived quality has a positive influence on purchase intention. Conclusions - First, detailed product information should be added to influence quality perception. Second, consumers expect a certain level of service while shopping. Simultaneously, online products reviews from consumers deserve attention as they can impact consumer purchase intention.

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A Study on Feature-Based Multi-Resolution Modelling - Part I: Effective Zones of Features (특징형상기반 다중해상도 모델링에 관한 연구 - Part I: 특징형상의 유효영역)

  • Lee K.Y.;Lee S.H.
    • Korean Journal of Computational Design and Engineering
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    • v.10 no.6
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    • pp.432-443
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    • 2005
  • Recent three-dimensional feature-based CAD systems based on solid or non-manifold modelling functionality have been widely used for product design in manufacturing companies. When product models associated with features are used in various downstream applications such as analysis, however, simplified and abstracted models at various levels of detail (LODs) are frequently more desirable and useful than the full detailed model. To provide multi-resolution models, the features need to be rearranged according to a criterion that measures the significance of the feature. However, if the features are rearranged, the resulting shape is possibly different from the original because union and subtraction Boolean operations are not commutative. To solve this problem, in this paper, the new concept of the effective zone of a feature is defined and identified using Boolean algebra. By introducing the effective zone, an arbitrary rearrangement of features becomes possible and arbitrary LOD criteria may be selected to suit various applications. Besides, because the effective zone of a feature is independent of the data structure of the model, the multi-resolution modelling algorithm based on the effective zone can be implemented on any 3D CAD system based on conventional solid representations as well as non-manifold topological (NMT) representations.

A Strategic Implementation of e-SCM(Supply Chain Management) for the Development of e-Business (e-Business활성화를 위한 e-SCM의 전략적 구축)

  • Lee, Shin-Kyuo
    • The Journal of Information Technology
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    • v.9 no.1
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    • pp.65-79
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    • 2006
  • e-Marketplace is a business concept which is importantly considered in the area of marketing. e-Marketplace provides the public field in which multi-purchasers can efficiently trade with multi-suppliers. Supply Chain Management(SCM) is being widely acknowledged by the development of information technology. SCM is well known as one of the key issues lately. The complexity of supply chains and the associated potential opportunities for gaining a competitive edge by designing a product and process to support supply chain management can be significant. In order to achieve successful implementation of supply chain management system, companies should understand some barriers in implementation and set up effective and integrated information system. Standardization of logistics is needed through the unification of EDI, Bar Code, Pallet and so on. It's effect is magnified on Efficient Consumer Response such as efficient store assortment, efficient replenishment, efficient promotion and efficient product introduction. International logistics management is the integration of key business processes from original suppliers to end user that provides products, services and information that add value for customers. e-Logistics is being used in managing the international logistics. In this study, three basic e-SCM models for the strategic implementation of supply chain management are suggested. Among them, the virtual company can be the best one we can develop in order to cope with the individualized customer needs.

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A Study on Accelerated Fatigue Life Testing for Industrial Inverter (산업용 인버터의 가속 피로수명 평가에 관한 연구)

  • Lee, Sanghoon;Kim, Won-Jin
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.6
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    • pp.67-73
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    • 2022
  • Industrial inverters are used in a variety of fields for electric power supply. They may be exposed to vibration and heat once they are installed. This study focused on a framework of accelerated life testing of an industrial inverter considering fatigue damage as the primary source of deterioration. Instead of analyzing detailed failure mechanisms and the product's vulnerability to them, the potential of fatigue failure is considered using the fatigue damage spectrum calculated from the environmental vibration signals. The acceleration and temperature data were gathered using field measurement and spectral analysis was conducted to calculate the vibration signal's power spectral density (PSD). The fatigue damage spectrum is then calculated from the input PSD data and is used to design an accelerated fatigue life testing. The PSD for the shaker table test is derived that has the equivalent fatigue damage to the original input signal. The tests were performed considering the combined effect of random vibration and elevated temperature, and the product passed all the planned tests. It was successfully demonstrated that the inverter used in this study could survive environmental vibration up to its guarantee period. The fatigue damage spectrum can effectively be used to design accelerated fatigue life testing.

Evaluation performance of machine learning in merging multiple satellite-based precipitation with gauge observation data

  • Nhuyen, Giang V.;Le, Xuan-hien;Jung, Sungho;Lee, Giha
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.143-143
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    • 2022
  • Precipitation plays an essential role in water resources management and disaster prevention. Therefore, the understanding related to spatiotemporal characteristics of rainfall is necessary. Nowadays, highly accurate precipitation is mainly obtained from gauge observation systems. However, the density of gauge stations is a sparse and uneven distribution in mountainous areas. With the proliferation of technology, satellite-based precipitation sources are becoming increasingly common and can provide rainfall information in regions with complex topography. Nevertheless, satellite-based data is that it still remains uncertain. To overcome the above limitation, this study aims to take the strengthens of machine learning to generate a new reanalysis of precipitation data by fusion of multiple satellite precipitation products (SPPs) with gauge observation data. Several machine learning algorithms (i.e., Random Forest, Support Vector Regression, and Artificial Neural Network) have been adopted. To investigate the robustness of the new reanalysis product, observed data were collected to evaluate the accuracy of the products through Kling-Gupta efficiency (KGE), probability of detection (POD), false alarm rate (FAR), and critical success index (CSI). As a result, the new precipitation generated through the machine learning model showed higher accuracy than original satellite rainfall products, and its spatiotemporal variability was better reflected than others. Thus, reanalysis of satellite precipitation product based on machine learning can be useful source input data for hydrological simulations in ungauged river basins.

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