• IE interfaces
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• v.25 no.2
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• pp.204-215
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• 2012

Recently, more and more firms are considering the adoption of RFID technology because it is expected to make process automation easier and has many different application areas. A review of existing studies about RFID adoption methodology shows that the most of the proposed methodologies are mainly based on economic evaluations. However, in the near future when the adoption and diffusion of RFID become major forces among business firms, it would surely have some limits to decide its adoption solely on the basis of economic considerations. In order for all the important strategic objectives to be considered during the major decision processes, it is necessary to make explicit what the decision makers really want to achieve from the RFID system. In this paper, we propose a general value model of RFID system which can provide an overall vision of all values RFID adoption may offer and a way to search and evaluate alternatives on the basis of these values. Especially, this model contains not only opportunities but also risks of RFID adoption so that a balanced consideration can be made. The model building process was essentially based on the 'value-focused thinking' approach proposed by R. Keeney. The proposed model is expected to provide insights about what to do in the process of introduction in order to maximize the potential benefits and minimize the negative risks. Referring to this value model, the important decisions would have greater chance to be based on a balanced consideration of opportunities and risks.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.109-119
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• 2015

The interaction between wireless sensors such as Internet of Things (IoT) and Cloud is a new paradigm of communication virtualization to overcome resource and efficiency restriction. Cloud computing provides unlimited platform, resources, services and also covers almost every area of computing. On the other hand, Wireless Sensor Networks (WSN) has gained attention for their potential supports and attractive solutions such as IoT, environment monitoring, healthcare, military, critical infrastructure monitoring, home and industrial automation, transportation, business, etc. Besides, our virtual groups and social networks are in main role of information sharing. However, this sensor network lacks resource, storage capacity and computational power along with extensibility, fault-tolerance, reliability and openness. These data are not available to community groups or cloud environment for general purpose research or utilization yet. If we reduce the gap between real and virtual world by adding this WSN driven data to cloud environment and virtual communities, then it can gain a remarkable attention from all over, along with giving us the benefit in various sectors. We have proposed a Pub/Sub-based sensor virtualization framework Cloud environment. This integration provides resource, service, and storage with sensor driven data to the community. We have virtualized physical sensors as virtual sensors on cloud computing, while this middleware and virtual sensors are provisioned automatically to end users whenever they required. Our architecture provides service to end users without being concerned about its implementation details. Furthermore, we have proposed an efficient content-based event matching algorithm to analyze subscriptions and to publish proper contents in a cost-effective manner. We have evaluated our algorithm which shows better performance while comparing to that of previously proposed algorithms.

• Journal of the Korean Magnetics Society
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• v.21 no.4
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• pp.147-150
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• 2011

Since their discovery in the early 1980's, the market for bonded rare earth magnets has shown steady growth. Today these magnets are widely used for our daily life such as computer peripherals, automotive, consumer electronics, and office automation. However, the price increases of rare-earths started from the $2^{nd}$ half of 2010 became even worse in 2011. During $2^{nd}$ quarter of 2011, almost all of rare-earths showed unprecedented vertical price increases, and it brought significant impact to the related industry in terms of the price and supply. This will ask the fundamental change in the policy of the bonded rare earth industry to expand its market share, which has been highly dependent on the replacement of ferrite magnets via relatively higher performance compared to the price at certain applications. In order to achieve the sustainable growth of bonded rare-earth magnets in the future, it needs to change the current paradigm and setup the new business model. This article includes a brief summary of the rare earth price trend and the applications of the rare-earth bonded magnets. The efforts to improve the performance and diversify the applications for future growth have been also presented.

• The KIPS Transactions:PartA
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• v.12A no.6 s.96
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• pp.485-492
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• 2005

Currently workflows in business processes and distributed computing environments have provided service automation by connecting many tasks with rules and/or orderings. The services in ubiquitous computing environments have to automatically provide users with adaptive services according to dynamically changing contort information, which is obtained from both the users and their environment. To adapt these workflows to ubiquitous computing, we must specify the situation information on the transition conditions. In this paper, we propose uWDL, Ubiquitous Workflow Description Language, based on Web Services to use the situation information on the transition constraints of workflow's services. uWDL can select adaptive services according to contexts, profiles, and events information, which are situation information. Furthermore, we verified the execution of a scenario document described with uWDL using the parser and the context handler for uWDL. The scenario developers can use the uWDL scenario editor for a design of scenarios, and they can easily specify the transition condition of the services according the situation information of ubiquitous environments using the uWDL.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.653-657
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• 2008

Industry related to digital contents is growing rapidly and is noticed as a higher value-added business. In digital reflex contents industry, computer graphics techniques are core techniques. Because they make production or scene that is difficult to photograph possible with real camera, expand a range of contents making. Lately, computer graphics techniques apply various fields such as blockbuster movie, game, educational contents, simulation etc, and there are many studies about movement of each object made up of contents or automation of object change. This paper shows the process of fishes growth, from spawn to a full-grown fish making use of 3D morphing techniques and want to plan fish growth process system that can know difference between fishes that are applied to 3D morphing techniques and normal full-grown fishes according to various environmental factors that affect growth.

• The Transactions of the Korea Information Processing Society
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• v.6 no.2
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• pp.261-274
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• 1999

Recently, automated business processing systems, so called workflow systems, have been studied. have been studied. even though each task has noticible duration inherently, most of previous models regard it as a simple finite automation where state transitions occur instantly. In this paper, we propose a modeling method for workflow each of whose component task has minimum processing time and due-date. Firstly we provide a priority function to choose the proper alternatives when tasks fail before their due-date. The priority function considers the time-relevant factor and the semantic compatibility level to decide the best alternative. secondly, we identify six different types of execution requirements for tasks with noticible durations. They are serial, parallel, simultaneous start simultaneous termination, interleaved and nested dependency. Note that previous models deal with only serial execution and parallel execution. Lastly, we also propose graph-based methods to detect logical conflicts in time constraint-based workflow specifications.

• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.357-369
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• 2009

With the development and generalization of internet and information technology, airlines has tried to reduce their business expenses and commissions to travel agencies and enhance service qualities through service automation and simplification, such as internet booking and ticketing, self check-in, in-flight internet and RFID for checked baggage. The statistical techniques conducted for this empirical analysis are frequency analysis, reliability analysis, factor analysis, confirmatory factor analysis and multiple regression analysis. This research has tried to examine factors of airline e-services that influence on recommendation re-purchase intention and satisfaction. Results has found that only on-line reservation and ticketing factor had significant effect for recommendation and re-purchase intention and all e-service factors produced significant effect to total satisfaction. It was also recommend that airlines have to provide easy and more familiar e-service system to their passengers to deliver better services.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.116-122
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• 2019

In recent years, small and medium-sized businesses are rapidly changing to an industrial structure where process/quality/energy data aggregates can be automatically or real-time to achieve global competitiveness. In particular, real-time information analysis produced in the production process of small businesses is evolving into a new process process that analyzes, predicts, prescribes and implements significant performance of small businesses. In this paper, we propose a platform-building model that can transform the automated production information system of small businesses into big data so that they can upgrade data that is generated by small businesses. The proposed model has the capability to support operational efficiency (consulting and training) and strategic decision making of small businesses by utilizing a variety of data on the basic information of products produced by small businesses for data collection by smart SMEs. In addition, the proposed model is characterized by close cooperation between small and medium-sized businesses with different regional characteristics and areas of information sharing and system linkage.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.3
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• pp.25-38
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• 2019

This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.

• Journal of the Korean Geographical Society
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• v.30 no.1
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• pp.16-34
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• 1995

This study aims to analyze the impact of cement industry on region change. For this study Maepo-Eub was selected as study area, where three cement factories are located. The data for analysis were obtained from interviews, questionaire surveys and the employee list of each cement factory. The analytic procedures for this study are as follows: 1) The change of regional employment was analyzed by development was industry in terms of the permanent address, education level, occupational status of the employee. 2) The degree of population growth are analyzed by developmental staae of the industry. Some conclusions from this study follows: 1) As these cement factories were built at Maepo in the 1960's, there were plenty of employment opportunities. Thus many technicians and workers flooded in Maepo-Eub. in the 1970's with the expansion of production facilities therewere much more immigrants to the industrial region, while there were outflow in the neighboring rural areas. In the 1980's the opportunity for the employment of cement factories have been decreased due to the introduction of the automation processes and larger, sized machines. Among the employee of three cement factories the native of Chungcheongbukdo (65%; in them Danyang 52%, Jecheon 32%) is dominant, the second is from Kangwon-do (13%), and the third is from Kyungsangbuk-do (11%) adjacent to Chungcheongbuk-do. It means that there are more employment opportunity in the near places of cement factories. 2) In the period of 1960's study area had experineed rapid social increase in population by the development of cement industry. That is, cement industries created new job opportunities and attracted large population concentration into this area. In the period of 1970's the population of the industrial region have increased continuously, while the population of neighboring rural areas have decreased. In the period of 1980's the population of Maepo decreased steadily because of decrease of labour forces through automation and commuting. Thus in the early stage of idustrial development large population concentrated in the neighboring villages of cement factories, and formed residential areas, commercial areas and service areas. As agricultural and was encroached, rural people left their regions to live in the more convenient suburbs. 3) People engaged in cement industry think that cement industry has a favorable influence on regional development, such as creating job opportunity, raising income level, developing business and service sector, and leading high economic growth. While farmers and some people think that cement industries as a pollution causing factories have a harmful influence on regional development, sucha as injuring the crops, causing environmental pollution, and being harmful to health. If pollution problems are solved, I think Maepo will play an important role as a regional center which can offer employment opportunity, business and service function to pheripheral rural areas, and raise a income level.