• Korean Journal of Construction Engineering and Management
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• v.10 no.4
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• pp.38-49
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• 2009

In public project market, design-build projects have been increased because of market trend change which enables technical competition. In this condition, its importance is also getting important. Generally, life cycle of design-build project consists of planning, preliminary design, procurement, contract, detail design, start of construction, construction, end of construction, and evaluation. From contractor's viewpoint, it has problems such as difficulties in project management and information sharing because of frequent change of charged division. To solve these problems, it is desirable to change from function-based management system to process-based management system. The purpose of this study is to develop management process model for design-build project by progress phases. This study analyzed main conflicts and decision making factors of each stage in design-build projects, then systemized management subjects' responsibilities and management points' change. And also this study defined the key information that is the key point by project characteristics and progress phases. Based on this analysis, this study did business process modeling from planning stage to construction design check stage. At last, we proposed the way to manage business process by design-build project progress.

• Archives of design research
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• v.19 no.5 s.67
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• pp.335-350
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• 2006

Due to the development in industrial technology, changes in consumer behavior and aggravating competition within the industry, it is growing only harder every day to build up a strong brand power. Besides, a brand is supposed to age as time goes by, following a brand life cycle, as it is not a solid, immutable asset but something of a living creature. Therefore, self-renovation and revitalization efforts are needed, in order to incessantly confirm the self existence through the relationship with the consumer. In sum, revitalization operation is needed to renew a brand that has grown trite in the passage of time or due to the change in market condition, so as to bring it back anew to the consumers. This study did not stop at measuring the effect of a design renewal as a short-term assignment, but focused on the long-term brand management following the brand life cycle and aimed to define the effective timing and method of revitalization by comprehending the analysis results of consumer consciousness by analyzing the successful cases of brand revitalization and selecting the research analysis targets. As a result, this study proved that a properly-timed brand revitalization efforts in order to cope in advance with predictable changes in environment, can significantly prevent any drop of brand equity from occurring and then extend the brand life cycle. Also, this study could find that a brand revitalization is not a mere concept of a strategy for a short-term sales increase, but should be a long-term strategy to manage a brand, which must be practiced continuously in the time when the brand life cycle curve starts to fall. This research could also confirm that a superficial design renewal, which changes only the packaging of a brand, peformed in short-term haste, is not of help at all.

• Environmental and Resource Economics Review
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• v.15 no.4
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• pp.693-712
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• 2006

A pre-feasibility test is done for renewable energy hybrid power systems at off~grid islands in which the current power supply is provided only by diesel generation. We apply Homer (Hybrid Optimization Model for Electric Renewables) which was developed by the National Renewable Energy Laboratory (NREL) for the analysis to identify the cost-minimizing combination of power generating facilities for the given load profiles. Chuja-Do, Geomun-Do and Youngsan-Do have been selected for our analysis considering the wind resources data of the Korea Institute of Energy Research (KIER). Information on wind speed, solar radiation and temperature is also used for the analysis. System component cost information from overseas market has been used due to the lack of domestic information. Site specific Load profile for electricity demand for those islands are reconstructed based on the partial survey results obtained form other sources. The LCOE of the least cost hybrid power systems for Chuja-Do, Geomun-Do and Youngsan-Do are $0.278/kWh, $0.234/kWh and $0.353/kWh, respectively Considering the fact that diesel generation is being subsidized at the price of $0.300/kWh by the government, first 2 cases are economically feasible for the introduction of renewable energy hybrid systems to those islands. But the third case of Youngsan-Do does not meet the criteria. The basic differences of these pre-feasibility test results are from the differences of the site specific renewable energy conditions, especially wind resources. In summary, promoting hybrid systems in the off-grid remote island should be based on the economic feasibility test results. Not all the off-grid islands are feasible for introducing this renewable energy hybrid system.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.127-135
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• 2020

The purpose of this paper is to classify individual startups by growth stage based on data-based quantitative criteria. This is to provide a basis for systematic support for government startups based on accurate statistics on the startup growth process. This startups were the TIPS (Tech Incubator Program for Startup) support company, which used a relatively reliable startup. We found seed money to complete MVP (Minimum Viable Product) within 1.5 years after establishment, verified PMF (Product-Market Fit) within 1 year, attracted Series A investment within 2.5 years after establishment, and successfully commercialized it. It attracted Series B investment for stable growth within 1.5 years (Series B investment within 4 years from start-up). The results of the study, the division of government programs that support stage-based startup commercialization, that is, within three years and within seven years of establishment, is significant to date. Three directions are suggested for future research. First, develop indicators for monitoring startup growth stages. Second, it continuously updates the annual changes and tracks the growth stages of individual startups. Third, we discover the successful growth law of technology-based startups by applying in-depth case analysis of successful startups to the model.

• Information Systems Review
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• v.9 no.2
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• pp.15-39
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• 2007

Mobile games have emerged as the most innovative entertainment technology, adding new revenue streams, taking advantage of the potential of wireless applications and service offerings. Mobile games, like any other types of computer game, offer a unique value for users in providing an exciting digital experience in virtual worlds. In this paper, we attempt to investigate the demographic factors which play critical roles in determining the level of playing times; classify mobile gamers based on their motives for playing games; and empirically test differences in their demographic factors and mobile game usage. Statistical results show that significant differences in playing times exist, depending upon their age, gender, mobile device, mobile phone usage, mobile game experiences, and preferred games genres. Applying Factor analysis, we have identified Escape, Social interaction, Challenge and Competition, Fantasy, Diversion and Relaxation, Ease of Accessibility as key motivators for playing mobile games. Additional cluster analysis shows that the categorization of gamers, according to their usage habits and the key motivators for playing, can be made as follows: Multi-gamers, Communication-focused gamers and Mobile active-gamers. Further correlation of these grouping with socio-economic data shows the significant differences in gaming habits and patterns of mobile phone use.

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.57-64
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• 2017

Recent automobile manufacturing technology has improved not only the function and performance of cars, but also the audio systems in cars so as to increase their marketability. Automobile manufacturers always have the option of simply installing an expensive acoustic system to help customers enjoy a high-level sound quality car audio system. However, this also tends to increase the MSRP (Manufacturer's Suggested Retail Price) of the car. Therefore, it is desirable, where possible, to enhance the sound quality of plainer, less expensive audio devices to help customers feel as if they have a high-quality and expensive audio device in their car. In order to make this happen, the manufacturer must develop an optimal interior environment and audio system at a relatively lower cost. To this end, features of the car audio system can be enhanced by analyzing audio frequency response and using performance metrics to figure out the characteristics of the human auditory system. This study analyzed the sound field of Korean Recreation Vehicles (RVs) using the Internet of Things (IoT) sensor for the measurement of car audio system. As a result, high energy of sensitive bandwidth, one of the human auditory characteristics often makes annoying sound. This study also found that increasing the frequency response flatness is required by taking human auditory field into account when designing the car audio system for the future.

• Journal of the Korea Institute of Building Construction
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• v.20 no.2
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• pp.155-162
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• 2020

Since the third industrial revolution has been started in the 1980s, the form of buildings has been varied and atypical by the development of building technology. Such free-form building has a curved shape unlike the existing standard buildings, and to realize this, it is necessary to manufacture the free-from panel. The shape of the free-form panel must satisfy a limited error ratio compared with the design shape, and the technology to produce free-form panels is very difficult. However, there are many problems such as enormous cost and construction waste generation when implementing free-from construction. Therefore, the development of free-form panel manufacturing technology should be made to solve the problems caused by the free-form construction. In this study, the error rate analysis of the mixed mortar panel was conducted by selecting the proper mixing ratio of the mixed mortar for the shape of the free-form panel.

• The Journal of the Korea Contents Association
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• v.9 no.3
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• pp.305-311
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• 2009

The bankruptcy in Korea affects to all stakeholder of firms. Companies listed in KOSDAQ have high technology but the possibilities for success of business are low. The purpose of this study is to develop and to applicate falling prediction model of KOSDAQ firms using logistic regression analysis. The results of this study are as follows. First, the accuracy of classification of the models by years was between 76.5% and 77.5%, and that of the mean model was between 70.6% and 83.4%. Among the models, the mean model of -three years, -two years, and -one year was highest in the accuracy of classification (83.4%). Second, when the mean model of -three year, -two years, and -one years, the highest model in accuracy of classification, was selected to be verified on validation samples, the accuracy of prediction increased from -three years to -one year (71.7% for -three years, 75.0% for -two years, 90.0% for -one year). In indicating the superiority of developed model.

• Korean Journal of Construction Engineering and Management
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• v.13 no.1
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• pp.140-147
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• 2012

Climate changes caused by fossil fuel energy usages have led to serious environmental damages and resource scarcity. Ever-increasing demand for energy causes harsh competition in international energy markets. Nuclear power, which once was regarded as a desirable clean energy, began to face public oppositions after the Japanese nuclear disaster in 2011. In this context, wind power is now considered to be an ever-more important recyclable energy source. Thus, this study intended to identify critical success factors for wind power construction projects. After a thorough literature review, two focus group interview sessions were conducted. A questionnaire-based survey, coupled with the two previous methods, resulted in the extraction of important factors for the success of wind power projects. Experts, including those working as constructors, designers, and owners, were paid a direct visit for the interview and survey. The critical success factors were categorized into feasibility study, right policies, equipment selection, and project financing issues. The proposed critical success factors are expected to be an effective guideline for future investors in wind powers.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.47-56
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• 2020

The stock index is used not only as an economic indicator for a country, but also as an indicator for investment judgment, which is why research into predicting the stock index is ongoing. The task of predicting the stock price index involves technical, basic, and psychological factors, and it is also necessary to consider complex factors for prediction accuracy. Therefore, it is necessary to study the model for predicting the stock price index by selecting and reflecting technical and auxiliary factors that affect the fluctuation of the stock price according to the stock price. Most of the existing studies related to this are forecasting studies that use news information or macroeconomic indicators that create market fluctuations, or reflect only a few combinations of indicators. In this paper, this we propose to present an effective combination of the news information sentiment analysis and various macroeconomic indicators in order to predict the US Dow Jones Index. After Crawling more than 93,000 business news from the New York Times for two years, the sentiment results analyzed using the latest natural language processing techniques BERT and NLTK, along with five macroeconomic indicators, gold prices, oil prices, and five foreign exchange rates affecting the US economy Combination was applied to the prediction algorithm LSTM, which is known to be the most suitable for combining numeric and text information. As a result of experimenting with various combinations, the combination of DJI, NLTK, BERT, OIL, GOLD, and EURUSD in the DJI index prediction yielded the smallest MSE value.