• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.6
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• pp.831-839
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• 2023

The purpose of this study is to quickly collect and analyze information generated in real-time at disaster sites to propose an integrated plan for an on-site support system that can support accurate disaster site situation identification and decision-making, and to review field applicability through prototype simulation. Accordingly, information collection, sharing, and convergence technologies that can be used at disaster sites were reviewed, and a plan for integrating a smart disaster site support system that can create an efficient flow of information resources and information necessary for the entire stage of disaster management was presented. In order to examine the possibility of operating the system with a prototype manufactured based on the integration plan, simulations were conducted based on the storm and flood disaster scenario, and it was confirmed that various functions in the system were implemented normally and displayed on the GIS situation board. Through this study, it is expected that efficient and active disaster response will be possible in a rapidly changing disaster environment.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.143-156
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• 2012

People easily believe that news and stock index are closely related. They think that securing news before anyone else can help them forecast the stock prices and enjoy great profit, or perhaps capture the investment opportunity. However, it is no easy feat to determine to what extent the two are related, come up with the investment decision based on news, or find out such investment information is valid. If the significance of news and its impact on the stock market are analyzed, it will be possible to extract the information that can assist the investment decisions. The reality however is that the world is inundated with a massive wave of news in real time. And news is not patterned text. This study suggests the stock-index invest model based on "News Big Data" opinion mining that systematically collects, categorizes and analyzes the news and creates investment information. To verify the validity of the model, the relationship between the result of news opinion mining and stock-index was empirically analyzed by using statistics. Steps in the mining that converts news into information for investment decision making, are as follows. First, it is indexing information of news after getting a supply of news from news provider that collects news on real-time basis. Not only contents of news but also various information such as media, time, and news type and so on are collected and classified, and then are reworked as variable from which investment decision making can be inferred. Next step is to derive word that can judge polarity by separating text of news contents into morpheme, and to tag positive/negative polarity of each word by comparing this with sentimental dictionary. Third, positive/negative polarity of news is judged by using indexed classification information and scoring rule, and then final investment decision making information is derived according to daily scoring criteria. For this study, KOSPI index and its fluctuation range has been collected for 63 days that stock market was open during 3 months from July 2011 to September in Korea Exchange, and news data was collected by parsing 766 articles of economic news media M company on web page among article carried on stock information>news>main news of portal site Naver.com. In change of the price index of stocks during 3 months, it rose on 33 days and fell on 30 days, and news contents included 197 news articles before opening of stock market, 385 news articles during the session, 184 news articles after closing of market. Results of mining of collected news contents and of comparison with stock price showed that positive/negative opinion of news contents had significant relation with stock price, and change of the price index of stocks could be better explained in case of applying news opinion by deriving in positive/negative ratio instead of judging between simplified positive and negative opinion. And in order to check whether news had an effect on fluctuation of stock price, or at least went ahead of fluctuation of stock price, in the results that change of stock price was compared only with news happening before opening of stock market, it was verified to be statistically significant as well. In addition, because news contained various type and information such as social, economic, and overseas news, and corporate earnings, the present condition of type of industry, market outlook, the present condition of market and so on, it was expected that influence on stock market or significance of the relation would be different according to the type of news, and therefore each type of news was compared with fluctuation of stock price, and the results showed that market condition, outlook, and overseas news was the most useful to explain fluctuation of news. On the contrary, news about individual company was not statistically significant, but opinion mining value showed tendency opposite to stock price, and the reason can be thought to be the appearance of promotional and planned news for preventing stock price from falling. Finally, multiple regression analysis and logistic regression analysis was carried out in order to derive function of investment decision making on the basis of relation between positive/negative opinion of news and stock price, and the results showed that regression equation using variable of market conditions, outlook, and overseas news before opening of stock market was statistically significant, and classification accuracy of logistic regression accuracy results was shown to be 70.0% in rise of stock price, 78.8% in fall of stock price, and 74.6% on average. This study first analyzed relation between news and stock price through analyzing and quantifying sensitivity of atypical news contents by using opinion mining among big data analysis techniques, and furthermore, proposed and verified smart investment decision making model that could systematically carry out opinion mining and derive and support investment information. This shows that news can be used as variable to predict the price index of stocks for investment, and it is expected the model can be used as real investment support system if it is implemented as system and verified in the future.

• Management & Information Systems Review
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• v.2
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• pp.209-235
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• 1998

Traditional cost system is distorted due to the using unit-based measure. It is being criticized that it do a poor job of attributing the expenses of support resources to the production and sales of individual product. Activity Based Cost System expend the range of second-stage cost assignment drivers beyond the traditional measures of labor and machine times, units produced, and material quantities to allow for drivers that measure the amount of batch-level, product-sustaining, and facility-sustaining activities performed. It is a resources consumption model of organization, not just a more complex cost accounting of cost allocation system. This paper proposes a enterprise resource planning by activity based management. To effective performance system for company that want to be setting competitive levels, the information systems must support a fast moving, rapidly changing. Activity based management is a process of accumulating and tracing cost and performance da to a firm's activities and providing feedback of actual results against the planned cost to initiate corrective action where required. Therefore this system provides a highly powerful decision-making tool. To construct this system, we need Enterprise Resource Planning System. Since ERP is designed around the idea that rapid change and a degree of unhandled change is normal, it allows driving the customer's rapidly needs much deeper through the business cycle.

• International Journal of Costume and Fashion
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• v.16 no.1
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• pp.1-16
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• 2016

The purpose of this study was to explore fashion design and merchandising students' perception of creativity and the copyright protection of apparel design. A survey with open-ended questions was developed and distributed to a total of 100 fashion major students with specializations in apparel design and merchandising from three different universities located in a northwestern state of the United States. A majority of respondents showed their awareness that copying apparel design is ethically wrong and counterfeiting is legally wrong. They were able to distinguish between copying and interpreting and were aware that incorporating limited elements from inspirations was ethically acceptable. However, many of the students look for design inspiration from secondary sources, such as existing designers' works which they observe over the Internet, magazines, fashion shows, and store shopping, which may pose them to the temptation to copy such ideas. Although fashion copyright protection law has yet to become enacted, a majority of respondents support passage of fashion copyright protection law. The results give support to the needs for addressing the creative problem-solving processes and ethical decision-making jointly within apparel design and merchandising curriculum.

• Korean Journal of Human Ecology
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• v.20 no.1
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• pp.119-132
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• 2011

The purpose of this study was to explore the parenting experiences of mothers of disabled children. The study focused on how mothers of disabled children prepared for their children's transition to elementary school and how they experienced their children's adjustment to school. Twenty mothers of children with developmental or intellectual disabilities participated in the study. Each mother had experienced an inclusive education program at an elementary school for more than a year. Twelve mothers have children with intellectual disabilities and eight have children with developmental disabilities. Individual in-depth interviews were carried out to collect qualitative data. To analyze the data, the research followed the phenomenological analysis method of Giorgi. The results showed that mothers of disabled children were actively involved with inclusive day care centers and therapy programs to prepare for children elementary school. Most wished to send their children to a general elementary school with an inclusive program, although decision making was not easy. When their children entered elementary school, some mothers observed their children's struggle with school and their peer relationships. They sought support from teachers and other mothers. These mothers showed a desire for their children's social independence. This study highlighted the necessity to develop support programs for disabled children and their mothers.

• Child Health Nursing Research
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• v.8 no.1
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• pp.44-54
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• 2002

The main purpose of this methodological study was to develop an assessment tool and intervention protocol for child and family with childhood cancer at early diagnosis stage. The assessment tool and intervention protocol was developed by extensive literature review and consultation with experts. Review of nine domestic and sixty-six international journal articles were done to identify stress, interventions, coping strategies and adjustment of children with cancer and their family. Results were as follows; First, assessment at the early diagnosis stage need to include information on patient, family, and patient/family attitude toward diagnosis and treatment. Second, intervention protocol for children with cancer includes control physical symptoms, manage the side effects of chemotherapy and diagnostic or therapeutic procedures, control emotional responses, provide support and information, assist decision-making and adjust to environment. Third, intervention protocol for family includes controlling emotional responses, provision of informations, inducing family support to patient, improving family cohesion, supporting siblings and supporting spiritual growth. In conclusion, the early diagnosis stage in cancer treatment is important for child and family since this stage greatly affects the overall adjustment of child and family to live with cancer. Therefore, pediatric nurses need to be sensitive to the need of patient/family and systematically manage their needs at this stage.

• Journal of Environmental Policy
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• v.3 no.1
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• pp.55-69
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• 2004

Bioenergy can be obtained from various forms of biomass such as agricultural, food processing, and municipal wastes. Recently, its importance is recognized more seriously because of its positive impacts on economic and stable energy supply and environmental sustainability. Despite its advantages, bioenergy has not been used as much as it was expected, nor has it been developed to the level of attractive commercialization in energy market. The main reasons for the sluggish progress have been analyzed by comparing the bioenergy policies in Korea and U.S.A. Both Korea and U.S. governments have recognized the importance of bioenergy and put in various efforts to promote the use of bioenergy. Both governments have legislated alternative energy promotion plans that support R&D, tax reduction, rewards, and low interest loans. However, it is suggested that the bioenergy policy and plan juxtapose the financial supports (R&D, tax exemption, low interest loan, education, etc.) with strong mandates and obligations. Although imposing strong mandates prerequisites the economically attractive and feasible technologies, it can motivate and speed up more effective technology development, in turn. In addition, the bioenergy R&D support must include studies on commercialization and marketing as well as process development. R&D on the socioeconomic effects of bioenergy should also be supported. Lastly, decision making processes for the bioenergy policy, and for alternative energy overall, must include environmental agencies for taking advantage of environmental benefits of bioenergy.

• Journal of Engineering Education Research
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• v.18 no.6
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• pp.64-69
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• 2015

A video-work story analysis system based on emotional state measurement includes a content provision unit which provides story content of a video-work, a display unit which displays content provided by the content provision unit, an emotional state measurement unit which measures a tense-relaxed emotional state of a viewer viewing the displayed story content, a story pattern analysis unit which analyzes the tense-relaxed emotional state measured from the emotional state measurement unit according to a scene in the story content provided by the content provision unit, and a story pattern display unit which prints out an analysis result or displays the analysis result as an image. The emotional state measurement unit measures a tense or relaxed emotional state through one or more analyses among a brainwave analysis, a vital sign analysis, or an ocular state analysis. A writer may obtain support in an additional scenario modification work, and an investor may obtain support in making a decision through the above description. Furthermore, the video-work story analysis system and analysis method based on emotional state measurement may extract a particular pattern with respect to a change in an emotional state of a viewer, compile statistics, and analyze a correlation between a story and an emotional state.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.495-504
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• 2013

Evolutionary algorithms have been applied to multi-objective optimization problems by approximation methods using computational intelligence. Those methods have been improved gradually in order to generate more exactly many approximate Pareto optimal solutions. The paper introduces a new method using support vector machine to find an approximate Pareto frontier in multi-objective optimization problems. Moreover, this paper applies an evolutionary algorithm to the proposed method in order to generate more exactly approximate Pareto frontiers. Then a decision making with two or three objective functions can be easily performed on the basis of visualized Pareto frontiers by the proposed method. Finally, a few examples will be demonstrated for the effectiveness of the proposed method.

• The Journal of Information Systems
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• v.14 no.1
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• pp.19-40
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• 2005

The history of computer virus comes along with that of computer. Computer virus han surfaced as a serious problem in information age. The advent of open network and widespread use of Internet made the problem even more urgent. As a method of defense for computer virus most companies use anti-virus software. Selecting appropriate anti-virus software involves various criteria and thus it is a multiple-attribute decision making problem. The purpose of this study is to prioritize anti-virus software evaluation factors. To do that, first of all, important evaluation factors are selected based on previous research on anti-virus software as well as general software evaluation models. Then, a questionnaire survey was conducted on end-users, system administrators and anti-virus software developers. The survey result was analyzed with ExpertChoice 2000 which is based on Analytic hierarchy Process technique. This study found that there are clear differences among three survey groups regarding the relative importance of overall evaluation factors. End-user group ranked "cost" first, but it was the least important factor to developer group. Developers pointed out "operational support" ad the most important factor. There were also obvious differences in the relative importance of detail evaluation items. Both end-users and system administrators shared 7 common items among top 10 most important items. Moreover, neither of the two groups ranked any of the items in the "operational support" factor in top 10, whereas all 4 items in the factor were included in top 10 by developer group.