• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.4713-4716
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• 2014

Several methods that have been used to manage a degasing process in recent years, such as an injection method that uses aluminum molten metal powder and chemicals, and the input method that supplies argon and nitrogen, or chlorine gas using a gas blow-tube. On the other hand, these methods have some problems, and it is a difficult process to handle pollution due to the production of considerable toxic gases, such as chlorine and fluoride gas, irregular effects, and lowering work efficiency due to the excessive processing time. The problems that are most fatal are the production of considerable sludge due to a reaction of aluminum molten metal with chemicals, loss of metals, and the decreasing life of refractory materials. To solve these problems, this study developed a technology that is related to continuous casting of molten aluminum metal and monolithic degasing apparatus.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.147-155
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• 2016

Industry 4.0's goal is the 'Smart Factory' that integrates and controls production process, procurement, distribution and service based on the fundamental technology such as internet of the things, cyber physical system, sensor, etc. Basic requirement for successful promotion of this Industry 4.0 is the large supply of semiconductor. However, company I who produces dicing blades has difficulty to meet the increasing demand and has hard time to increase revenue because its raw material includes high price diamond, and requires very complex and sensitive process for production. Therefore, this study is focused on understanding the problems and presenting optimal plan to increase productivity of dicing blade manufacturing processes. We carried out a study as follows to accomplish the above purposes. First, previous researches were investigated. Second, the bottlenecks in manufacturing processes were identified using simulation tool (Arena 14.3). Third, we calculate investment amount according to added equipments purchase and perform economic analysis according to cost and sales increase. Finally, we derive optimum plan for productivity improvement and analyze its expected effect. To summarize these results as follows : First, daily average blade production volume can be increased two times from 60 ea. to 120 ea. by performing mixing job in the day before. Second, work flow can be smoother due to reduced waiting time if more machines are added to improve setting process. It was found that average waiting time of 23 minutes can be reduced to around 9 minutes from current process. Third, it was found through simulation that the whole processing line can compose smoother production line by performing mixing process in advance, and add setting and sintering machines. In the course of this study, it was found that adding more machines to reduce waiting time is not the best alternative.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.1
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• pp.19-29
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• 2023

An ultra-high strength prestressed prismatic beam of 100 MPa in compressive strength was developed by increasing the watertightness of concrete by utilizing centrifugal molding processes without adding expensive admixtures such as silica fume. The ultra-high strength centrifugal shaped square beam installed on the wall is composited with the upper slab concrete and then subjected to a service load. Horizontal shear stress is generated by bending between the centrifugal molding beam and the floor plate, which causes the beam and floor plate to perform composite behavior through shear connections such as studs and rebars. In this study, a flexural load test was performed on a mock-up specimen that was synthesized by fabricating an RC slab on top of a 100 MPa-class centrifugal shaped beam produced at the factory. proven reliability.

• Journal of Korean society of Dental Hygiene
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• v.10 no.5
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• pp.861-876
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• 2010

Objectives : The purpose of this study is understanding the behavior of the laborer relating oral health. Oral health is one of the most important requirement in the healthy life of the laborer. Also it is important to supply the welfare of the people. Methods : For this purpose survey to 400 urban laborer was carried out with questionnaire from October to November, 2009. Among them, 346 available responses were analysed with SPSS 12.0 statistic package. Results : The major findings of the study were as follows:First, Monthly income of 76.6 % of the laborer investigated was below 2500,000 won. Second, 56.1 % of the laborer investigated has the experience to visit dental clinic in the last two years. Third, 35.6 % of the laborer investigated has no experience to visit dental clinic in the last three years. Fourth, The average number of absent days due to oral disease were 0.11 day in a year. Fifth, The average number of the days fail to finish the work of the day due to oral disease were 0.32 day in a year. Sixth, 56.5% of the laborer investigated had no experience of oral health education, because of having no chance. Seventh, Factory bulletin and internet service is preferred as the source of the information on the oral health education. Eighth, In order to improve the status of oral health of laborer, periodical oral health examination and oral health education is needed. Conclusions : In order to improve the oral health of laborer, better public health policy is required, and it is made from understanding the behavior of the laborer relating oral health.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.15-28
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• 2015

As personal devices and pervasive technologies for interacting with networked objects continue to proliferate, there is an unprecedented world of scattered pieces of contextualized information available. However, the explosive growth and variety of information ironically lead users and service providers to make poor decision. In this situation, recommender systems may be a valuable alternative for dealing with these information overload. But they failed to utilize various types of contextual information. In this study, we suggest a methodology for context-aware recommender systems based on the concept of contextual boundary. First, as we suggest contextual boundary-based profiling which reflects contextual data with proper interpretation and structure, we attempt to solve complexity problem in context-aware recommender systems. Second, in neighbor formation with contextual information, our methodology can be expected to solve sparsity and cold-start problem in traditional recommender systems. Finally, we suggest a methodology about context support score-based recommendation generation. Consequently, our methodology can be first step for expanding application of researches on recommender systems. Moreover, as we suggest a flexible model with consideration of new technological development, it will show high performance regardless of their domains. Therefore, we expect that marketers or service providers can easily adopt according to their technical support.

• STI Policy Review
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• v.5 no.1
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• pp.98-111
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• 2014

Since Deng Xiaoping's implementation of the "One China, Two Systems" policy, mainland China and the other Chinese regions of Hong Kong and Macau have cooperated in various ways to work towards successfully developing China's overall economy and industries. Particularly, cooperation between Guangdong Province and adjoining Hong Kong have been contributing to China's development, and this study explores their industry conditions including their current two governments policies designed to promote collaboration. The two partners were in a cooperative relationship even before the handover of Hong Kong, beginning with a "front shop, back factory" model built on their respective comparative advantages in labor-intensive industries in the 1980s. This cooperation effectively propelled the Pearl River Delta Region's industrialization process and enabled Hong Kong to transform from a manufacturing industry-based economy to a service industry-based economy. From the early 2000s, Guangdong and Hong Kong diversified their collaboration project from culture to high-tech. Also, both authorities produced several types of policies not only to promote both industries but also to harmonize their two different economic levels and models. As a result, the Guangdong and Hong Kong economies have developed remarkably well during the past two decades and continue to form future plans that carry plenty of optimism. Nonetheless, this study showed discrepancies between engineers and scientists from the two areas in their perception of their technology and science cooperation. Hong Kong experts were more negative in their responses but noted some successes of the collaboration, while Guangdong's group showed overall positive responses. This difference results from an unbalanced role in cooperation. Hong Kong's side responds to cooperation plans and takes on leading roles with more frequency than Guangdong's side in actual cooperation project processes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1136-1141
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• 2016

IoT technology has been used as a core technology of convergence service that needs intelligent information processing, and the importance is largely emerging now. And internal network construction thru IoT interaction device can connect with IoT device effectively, provide diverse services by connection with open platform. Especially, beacon that is based on low electric power bluetooth device is receiving attention as one of core technology of IoT. Beacon technology is utilized widly in various fields of industry, and there are lot of demands in the specific environment and conditions beyond the basic function. On this thesis, the authors are proposing the beacon device that utilized acceleration sensor and hole sensor. this beacon device can control the target on specific situation thru sensing of moving target. For the more, we will expect to apply to the various type of factory environments like detachable installation, optimized management using sensor.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.177-186
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• 2021

This paper aims to show that cooperative robots, which have only been used in manufacturing sites, are expanding their scope of use in daily living spaces due to the expansion of non-face-to-face services. By combining robots and IoT technologies in terms of diversifying services in daily life and customized service areas, it is expected that the general public will also have easy access to smart technologies, and these technologies will be used in more areas. The robot barista system will provide customers with the services they want, monitoring, maintenance, and management of the system, making this paper convenient for customers, as well as managers who run stores, maintenance and repair, and engineers who design the system. This paper attempts to demonstrate this through a structure called Robopresso.

• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.169-174
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• 2018

Today, the world has reached 'Industry 4.0'. Industry 4.0 has high uncertainty in various aspects because it is based on building a smart chain where the various elements that make up the industry can communicate with each other. Based on the above facts, based on the researches of the previous researchers, we have searched for the countermeasures of small and medium sized manufacturing companies in Korea in order to minimize the negative aspects of establishing the basic concepts and functioning of Industry 4.0. As a result, efforts to accurately identify and address the uncertainties of Industry 4.0 in a variety of ways will help to drive business growth and economic growth in the country through smart factories, which are at the heart of Industry 4.0.

• Proceedings of the Safety Management and Science Conference
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• 2011.04a
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• pp.731-746
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• 2011

The successful and sustainable growth of SMEs depends on their ability of strengthen their competitiveness in quality and cost and service more than anything else as a fundamental of operation. Among these key competitive factors of SMEs, quality is the most critical factor in manufacturing business fields. Because quality strongly influence cost and service performance on this manufacturing business field. There are many different ways to improve the quality performance but it needs proper management decision to choose the best way what can maximize outputs with minimum inputs. And it needs effective measurement methods and some indicators to analysis the quality performance properly. The quality cost is one of the simplest key indicators to measure the quality performance and the effectiveness of quality related management decisions. The major purpose of this study is to diagnose the categorized current level of actual quality cost of local SMEs to maximize their quality management effectiveness through comparing their level with others what's expressed in early studies. In this study, through survey on local SMEs, we found that their average annual quality cost ratio versus turnover - Total amount of annual quality cost divided by annual turnover - is around 3.69% excluded some SME's performances what have different quality control measures with others. And we found some results what corresponded with the early studies on the correlations between those categorized quality costs factors and some discrepancies between some of the literature model and the early case study results as follows. There were negative correlations between the Prevention costs and the External failure costs, and the Appraisal costs and the External failure costs, and there was positive correlation between the Appraisal costs and Internal failure costs same as early studies. But, we couldn't found any strong negative correlations between the Cost of control - Preventive costs & Appraisal costs - and the Cost of Failure of control - Internal & External failure costs -. It reveals not only the lack of effectiveness on their preventive or appraisal activities but also it can reveal there were so many effective ways to prevent the failure costs properly such as some innovative investment on Factory automation includes Error Proofing and more preventive actions to improve the effectiveness of the typical management methods likes CE (Concurrent Engineering), APQP (Advanced Product Quality Planning), FMEA (Failure Mode & Effect Analysis) etc.