The next generation of web applications will need to be larger, more complex, and flexible Agent-oriented systems have great potential for these e-commerce applications. Agents can dynamically discover and compose e-services and mediate interactions. Development of software agents with CBD (Component Based Development) has proved to be successful in increasing speed to market of development Projects, lowering the development cost and providing better qualify. In this thesis, we propose a systemic development process for software agents using component and UML (Unified Modeling Language). We suggest a etA (e-business Agent) CBD reference architecture for layer the related components through identification and classification of general agent and e-business agent. We also propose the ebA-CBD process that is a guideline to consider the best features of existing agent oriented software engineering methodologies, while grounding agent-oriented concepts in the same underlying semantic framework used by UML. We first developed the agent components specification and modeled it with Goal, Role, Interaction, and Architecture Model. Based on this, we developed e-CPIMAS (e-Commerce Product Information Mailing Agent System) as a case study that provides the product information's mailing service according to proposed process formality. We finally describe how these concepts may assist in increasing the efficiency reusability, productivity and quality to develop the business application and e-business agent.
Component-based software development (CBD) technology has been widely accepted as a new effective paradigm for building software systems with reusable components, consequently reducing efforts and shortening time-to-market. Hence, components should provide standard or common functionalities in a domain, yielding a higher level of reusability. Especially, micro-level variability within the commonality should also be modeled so that a product member-specific business logic or requirement can be supported through component tailoring or customization The importance of commonality and variability (C&V) analysis has been emphasized in several CBD methods, but they lack of well-defined systematic process, detailed instructions, and standard artifact templates. As the result, the development of components has been carried out in ad-hoc fashion, depending on developer's experience. In this paper, we propose a systematic process and work instructions to design components. The process consists of phases and their activities and each activity is specified with detailed instructions and artifact templates in order to facilitate effective development of components. To verify a feasibility of the propose method, a case study in a banking domain and comparison and assessment between the proposed method and other methods are additionally provided. With proposed processes and instructions, reusability and efficiency of developing components can be better supported.
Recently, the overseas construction market has been actively promoted for about 10 years, and overseas dam construction has been continuously performed. For the economic and safe construction of the dam, it is important to prepare the main dam construction plan considering the design frequency of the diversion tunnel and the cofferdam. In this respect, the prediction of river level during the rainy season is significant. Since most of the overseas dam construction sites are located in areas with poor infrastructure, the most efficient and economic method to predict the water level in dam construction is to use the upstream water level. In this study, a linear regression model, which is one of the simplest statistical methods, was proposed and examined to predict the downstream level from the upstream level. The Pyeongchang River basin, which has the characteristics of the upper stream (mountain stream), was selected as the target site and the observed water level in Pyeongchang and Panwoon gaging station were used. A regression equation was developed using the water level data set from August 22th to 27th, 2017, and its applicability was tested using the water level data set from August 28th to September 1st, 2018. The dependent variable was selected as the "level difference between two stations," and the independent variable was selected as "the level of water level in Pyeongchang station two hours ago" and the "water level change rate in Pyeongchang station (m/hr)". In addition, the accuracy of the developed equation was checked by using the regression statistics of Root Mean Square Error (RMSE), Adjusted Coefficient of Determination (ACD), and Nach Sutcliffe efficiency Coefficient (NSEC). As a result, the statistical value of the linear regression model was very high, so the downstream water level prediction using the upstream water level was examined in a highly reliable way. In addition, the results of the application of the water level change rate (m/hr) to the regression equation show that although the increase of the statistical value is not large, it is effective to reduce the water level error in the rapid level rise section. Accordingly, this is a significant advantage in estimating the evacuation water level during main dam construction to secure safety in construction site.
Yang, Won Ho;Lee, Hyo Jin;Lee, Sang Yong;Kim, Seong Gil;Kim, Gi Beum
Journal of the Korean Society for Marine Environment & Energy
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v.19
no.3
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pp.203-210
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2016
In this study, nine heavy metals were analyzed in seaweeds collected from market and laver culture farm of Korea and a food safety assessment were also carried out for these heavy metals. The level of heavy metal concentrations in seaweeds was in the following order: Fe>As>Zn>Cu>Cd>Pb>Cr>Ni>Hg. Except for zinc and cadmium, seven heavy metals were significantly higher in cultured laver than in processed laver. Significant correlation was observed Cr-Fe in cultured laver and Cu-Zn, Cd-Cu, Cd-Zn and Pb-Ni in processed laver and Cu-Cr, Cu-Zn, Cd-Cr and Ni-Fe in sea tangle and Zn-Fe, Cr-Fe, Cr-Zn, Cd-Ni, Cu-Cd and Cu-Pb in processed sea mustard. Considering differences in heavy metal concentration between processed laver and cultured laver and in correlation among heavy metals, removal efficiency of heavy metals may be attributed to seaweed treatment process. The average weekly intakes of Cu, Cd, Zn, Fe and Hg via seaweeds consumption were about 0.1~7.6% of PTWI (Provisional Tolerable Weekly Intakes). Therefore, it was found that heavy metals in the seaweeds were very safe for consumption.
Journal of the Korea Academia-Industrial cooperation Society
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v.15
no.9
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pp.5769-5775
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2014
This paper reports the political supporting platform, and the outcome evaluation model, which was developed for the Korean on-line game companies that have started to go abroad to publish their games. When they begin to sell their games, they have many difficulties in promoting in other countries including the USA & EU. They try to find solutions to solve these problems, but on-line games still do not have a successful business model because of their unique attributes and environmental features, even though they spent a lot of money and time to enter the international on line game market. Thus far, the local on-line game supporting policy has tried to improve the world competitiveness of local companies by doing diverse activities, such as Global Service Platform(GSP) service, international game competition, and globalization, marketing. On the other hand, there has been only a small number of fruitful results except for GSP. Therefore, in this paper, the result of GSP was verified using the Global on-line game Supporting Chain Model(GoGSCM), which is the new political supporting and evaluation model through survey targeting GSP participations. As a result, GSP was evaluated based on the compatibility, efficiency, effectiveness, and continuity.
Journal of the Korea Academia-Industrial cooperation Society
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v.15
no.11
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pp.6646-6651
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2014
This study was carried out to find the social welfare effects of agricultural outlook information service for fruit in Korea. The goals of an agricultural outlook information service are to improve the efficiency of the agricultural product market, and stabilize the farmer's income and consumer price. This paper introduces the results of econometric analysis for the effects of social welfare benefits. According to the results of econometric analysis for the citrus industry, the effects of the social welfare benefits were estimated to be 15,228 million KRW on apples (ratio of the total revenue, 1.5%), 3,154 million KRW on pears (ratio of the total revenue, 1.8%), 1,936 million KRW on peaches (ratio of the total revenue, 0.9%), 5,211 million KRW on grapes (ratio of the total revenue, 1.0%), 44,976 million KRW on citrus (ratio of the total revenue, 5.4%), and 2,590 million KRW on sweet persimmon (ratio of the total revenue, 0.8%) in 2012.
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.2
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pp.465-471
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2017
This study examined the effects of neoliberal educational policy on the appointment system of teachers to assess the impacts of this neoliberal education policy. Neoliberal education policy has led to increased private education cost, and strengthened the function of social stratum reproduction in the education system despite increasing the efficiency and flexibility. Since contracted employment was applied to the educational field, the number of regular teachers began to decrease, while that of contracted teachers increased. For example, the number of contracted teachers was 300 in the 1990, which increased to 42,042 in 2015. Neoliberal education policy contributed to teacher's quantitative demand; however, the increase in the number of contracted teachers is ultimately degrading the education quality. In an education market, the issues of balancing between supply and demand often occur. Therefore, it is necessary to strongly control the number of contracted teachers by limiting their contract period. Furthermore, an institutional device that can convert a contracted teacher to a regular one must be established.
The development of ICT brings a big change in manufacturing industries, and new information technology such as IoT, AR, and big data was applied on manufacturing process. As a result, the concept of smart factory has been introduced as a new manufacturing paradigm. In fact advanced countries like USA, Germany, and Japan have actively introduced smart factory in their manufacturing industries such as electronic, automobile, machinery, to improve production efficiency and quality. The manufacturing environment has been changed into flexible system, so that smart factory will be leading future manufacturing industries. Thes changes have more severe influence on Korean manufacturing industries. Mny industrial companies, have a strong interest in smart factory and they, particularly big enterprises, have been adopting smart factory to increase their manufacturing efficiencies. However, Korean small and medium-sized enterprises (SMEs) have many financial and technological difficulties so that the diffusion of smart factory in Korean SMEs has not been satisfiable up to present. However, smart factory is very important for enhancing their competitiveness in global market. Therefore, this study aims at identifying the standardization strategy of smart factory in so-called Korean 'roots industry' by presuming that the standardization will activate the diffusion of smart factory among Korean SMEs. For this purpose, first, this study examines the competitiveness of SMEs, especially in 'roots industry' and identifies the necessity of diffusion of smart factory among those SMEs. Second, based on the active review on the existing literature, this study identifies four factor groups that would influence the adoption or diffusion of standardized smart factory. They are technological, organizational, industrial and policy factors. Third, using those four factors, this study made two comprehensive case analyses on the adoption and diffusion of smart factory. These two companies belong to molding sector which is one of the important six sectors in 'root industry'. Finally, based on the theoretical and empirical analyse, this study suggests four strategies for activating the standardization of smart factory; international standardization, government-leading standardization, firm-leading standardization, and non-standardization.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.8
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pp.287-297
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2020
This study examined ways of improving the internal insulation performance of aging university buildings, and to enhance the convenience of occupants in university buildings and the insulation effect of aging buildings. This research was conducted to solve the problem of continuous requests for improving the insulation performance of office workers in the Nehemiah Hall building of Handong University. The results showed that the internal temperature of Nehemiah Hall was low compared to the internal temperature of the adjacent building. Considering the characteristics of the building, the university chose insulating materials under the theme of internal insulation. The experiment was conducted by installing internal wall insulation used in the market by producing a model room that miniaturized the university professor's office. Based on the experimental results, an economic evaluation was conducted to analyze the insulation effect by measuring the heating time and actual heat transmission coefficient. An economic evaluation was conducted by experiment and theory and on a winter and summer basis. According to the research, when an Isopink (30 T) was introduced as an internal insulation material in 60 offices of Nehemiah Hall, it could save up to 1,071,600 won in total during the winter season and 109,200 won during the summer season.
Journal of the Korea Academia-Industrial cooperation Society
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v.16
no.3
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pp.2249-2254
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2015
Currently, green house gas(GHG) emissions in korea is aiming for a 30% reduction that it is compared to BAU by 2020. To this end, the government has proceed to a variety of reduction policies in GHG. In particular, GHG reduction effect in the public buildings is being a active discussion. It needs to reduce GHG for energy efficiency improvements in the way that public buildings are operated and maintained by public taxes. In this background, the purpose of this paper is to study environmental values judgement for non-market goods in the residents who use public buildings. The results of study are as follows; Respond to first suggested price was found the higher in price, the lower in willingness to pay(WTP). The result of second suggested price was as the same. Analysis of DBDC CVM revealed that income level shows a positive impact on WTP, but the other variables are irrelevant to WTP. Therefore, the citizen participation of the local population seems absolutely necessary to more effective GHG reduction of public sector in the future.
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