• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.3
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• pp.147-161
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• 2017

Korea is a country having shortage of natural resources, but to overcome this issue and to nurture national competitiveness it is challenging for national-lead economic policy, citizen's dedicated efforts and technological innovation for achieving economic growth. Since the financial crisis, the government has boldly promoted policies to nurture venture companies to make structural adjustments for the sophistication of the industrial structure and job creation. Various policies for establishing the foundation of the entrepreneurial ecosystem in which the process of start-up, growth, recovery and reinvest are virtually circulated are presented by the Business Incubators. Recently the Business Incubators neither present a direction differentiated from the vocation of Business Incubator, and nor the operating methods for leading the changing of Business Incubator environment, which threatening the role of Incubating and growing early startup companies. In order to explore the development change of the business incubator, in this research we analyzed the published papers from 1998 to 2016 of business incubator government polices, research methods, related research topics and other major variables. The analysis of the research trends of business incubator revealed the lack of depth case studies, diversity of research topics, and the study of certain limited variables. For the development of the business incubator, case studies of the institutions which carried out excellent incubator and research on the incubation system of the institutions, that are similar to the incubation center are required. This research suggest further research on the case studies of excellent business incubator and agencies, and the center director and manager, which is the center of human resources, and hopes for the revitalization of business incubator researches.

• Journal of the Korean Society of Costume
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• v.6
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• pp.65-87
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• 1982

1. Purpose: The purpose is to apply and adapt ancient textile pattern to practical life, and to contribute to the promotion of the creative development of modernization and Koreanization of textile pattern by the survey of the extent of taste for the textile pattern existent in Korean costume among costumes. 2. Hypothesis: Textile pattern is in most classical one expressed in fact, but nowadays abstract or geometric one is more exist. Consumers are in most part in forties, and so the taste cannot be ignored. Therefore aesthetic consciousness found Korean costume is more important rather than excessively bold or mordern one. 3. Method and Process: (1) This research is analysed 386 one through college student and parents of a primary or high school. (2) Taste of the pattern is comparisoned and analyzed as age. education, pocket money of the student or an income of a month in home through computer. And the analysis of the statistics research is operation through the Chi-Square Goodness of-Fit-Test. 4. Conclusion: (1) The Korean costume put on mostly party or formal dress, therefore it should be researched as an outdoor dress with traditional costume. (2) The most one is concerned in textile pattern, it's taste is different from color, constitution. Textile industry is developed not only weave pattern, gold-coverning pattern but embroidry pattern, dye pattern, therefore the various side of pattern design should be researched. (3) In Side of form, plant pattern is not only most various but highest in popularity. According to approach nowadays, all of the pattern becomes composition or geometric one with abstract tendency and so from these day pattern is necessary combinationed, researched with our people emotion. (4) The color of textile pattern is choiced individual taste. Through investige, research in various side of the modern taste and our costume, we take growing interest in the color, composition of textile, and should dressed with beauty and grace. (5) In side of size, textile pattern is choiced to individual face and body shape through research on form, color, size of these pattern, we should endeavor to dress well. (6) In side of application, most people is concerned in not only interior ornament but the costume is high. Costume research by some people of the outside and symbol with interior through the pattern analysis is not only very important but also is due to people culture.

• Journal of Bio-Environment Control
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• v.17 no.2
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• pp.101-109
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• 2008

The content of chlorophyll a, b have generally increased for Fraxinus rhynchophylla and Fraxinus mandshuricain the order of month of June B>C and >D. Therefore we suppose the photosynthesis rate will increase if the moisture level is high and in regardless of the growth stage.

• Research in Plant Disease
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• v.20 no.2
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• pp.71-78
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• 2014

Gamma irradiation and its convergence with nano-silver particles and sodium dichloroisocyanurate (NaDCC) were investigated to inhibit germination and mycelial growth of Botrytis elliptica, the pathogen of lily leaf blight. In addition, the same treatments were studied on the process of disease development with detached leaf of lily cv. Siberia. Spray inoculation, which is closer to natural infection than wound inoculation, can be a way to investigate infection ability of the treated pathogen. The irradiating dose required to reduce the population by 90%, $D_{10}$, was 526 Gy irradiating with 0-2000 Gy gamma ray on the conidial suspension as well as the growing mycelia. Even at 2000 Gy, the mycelium was not killed but just delayed its growth at 1-2 days behind. Convergent treatment with 40 mg/l of NaDCC just before 200 Gy gamma irradiation was the best way to decrease the conidial germination about 1/1000 times. The control values of gamma irradiation were 23% and 19.5% at wound inoculation and spray inoculation, respectively. On wound-inoculation, the control value of NaDCC only was 89%, and that of NaDCC convergent with 200 Gy gamma irradiation was 32%. On sprayinoculation, the highest control value was NaDCC at 50%, and that of NaDCC convergent with gamma irradiation was 24%.

• Journal of Life Science
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• v.18 no.11
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• pp.1507-1512
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• 2008

In spite of long research period for Salmonella typhi, little information is known about the pathogenesis mechanism of human typhoid fever caused by S. typhi due to lack of infection model in animals. A wild-type of S. typhi Ty2 strain requires cysteine to grow on minimal media. We hypothesized that this cysteine requirement may restrict colonization of S. typhi in animals during infection process. Among the S. typhi strains carrying Salmonella typhimurium genomic library, we have isolated three S. typhi transformants growing on minimal media without cysteine. Although there were three ORFs in DNA of pBP71, the STM1490 ORF complemented cysteine auxotrophy of S. typhi. Analysis of the deduced amino acid sequence of the STM1490 homolog in S. typhi revealed that there are differences in two amino acids. Plasmids containing amino acid substitutions in STM1490 supported S. typhi growth on minimal media without cysteine, indicating irrelevance of these two amino acids to STM1490 function. These results tells us that there are other factors or systems involved in cysteine requirement of S. typhi.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.4
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• pp.44-53
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• 2016

The era of Big Data has come and the importance of Big Data has been rapidly growing. The part of transportation, the Four-Step Travel Demand Model(FSTDM), a traditional Trip-Based Model(TBM) reaches its limit. In recent years, a traffic demand forecasting method using the Activity-Based Model(ABM) emerged as a new paradigm. Given that transportation means the spatial movement of people and goods in a certain period of time, transportation could be very closely associated with spatial data. So, I mined Spatial Big Data from SNS. After that, I analyzed the character of these data from SNS and test the reliability of the data through compared with the attributes of TBM. Finally, I built a database from SNS for the operation of ABM and manipulate an ABM simulator, then I consider the result. Through this research, I was successfully able to create a spatial database from SNS and I found possibilities to overcome technical limitations on using Spatial Big Data in the transportation planning process. Moreover, it was an opportunity to seek ways of further research development.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.117-126
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• 2018

The threat to information security is growing globally. To this, organizations are increasing the weight of adapting and operating the more specialized information security policy and system. Information security requires participation from the employees who execute the security system and policy, and to increase the level of organization's internal security, requires organization's systematic support to improve employees' information security compliance intention. This research finds the mechanism for improving employee's information security compliance intention by applying justice theory and goal setting theory in information security. We use structural equation modeling to verify the research hypothesis, and conducted a survey on the employees of organization with information security policy. In other words, this research performs verification of the research model based hypothesis which claims that security policy goal setting has positive influence on employee's level of security related justice recognition, and claims that justice has positive influence on compliance intention. The object of study is the employees of the organization that adapts information security policy, and 383 valid samples were collected via survey. Structural equation modeling was performed to verify the research hypothesis. The result shows that security policy goal factor (goal difficulty, goal specificity) improves employee's security related justice recognition, and that security related justice (distribution, process, and information justice) has positive influence on compliance intention. The result suggests the strategic approach directions for improving employees' compliance intention on organization's security policy.

• Horticultural Science & Technology
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• v.30 no.3
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• pp.270-277
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• 2012

Greenhouse industry has been growing in many countries due to both the advantage of stable year-round crop production and increased demand for fresh vegetables. In greenhouse cultivation, $CO_2$ concentration plays an essential role in the photosynthesis process of crops. Continuous and accurate monitoring of $CO_2$ level in the greenhouse would improve profitability and reduce environmental impact, through optimum control of greenhouse $CO_2$ enrichment and efficient crop production, as compared with the conventional management practices without monitoring and control of $CO_2$ level. In this study, a mathematical model was developed to estimate the $CO_2$ emission from soil as affected by environmental factors in greenhouses. Among various model types evaluated, a linear regression model provided the best coefficient of determination. Selected predictor variables were solar radiation and relative humidity and exponential transformation of both. As a response variable in the model, the difference between $CO_2$ concentrations at the soil surface and 5-cm depth showed are latively strong relationship with the predictor variables. Segmented regression analysis showed that better models were obtained when the entire daily dataset was divided into segments of shorter time ranges, and best models were obtained for segmented data where more variability in solar radiation and humidity were present (i.e., after sun-rise, before sun-set) than other segments. To consider time delay in the response of $CO_2$ concentration, concept of time lag was implemented in the regression analysis. As a result, there was an improvement in the performance of the models as the coefficients of determination were 0.93 and 0.87 with segmented time frames for sun-rise and sun-set periods, respectively. Validation tests of the models to predict $CO_2$ emission from soil showed that the developed empirical model would be applicable to real-time monitoring and diagnosis of significant factors for $CO_2$ enrichment in a soil-based greenhouse.

• Journal of Korea Spatial Information System Society
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• v.8 no.2 s.17
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• pp.53-73
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• 2006

Recently, the need for Location-Based Services (LBS) has increased due to the development of mobile devices, such as PDAs, cellular phones and GPS. As a moving object database that stores and manages the positions of moving objects is the core technology of LBS, the scheme for maintaining the main memory DBMS to the server is necessary to store and process frequent reported positions of moving objects efficiently. However, previous works on a moving object database have studied mostly a disk based moving object index that is not guaranteed to work efficiently in the main memory DBMS because these indexes did not consider characteristics of the main memory. It is necessary to study the main memory index scheme for a moving object database. In this paper, we propose the main memory index scheme based on the R-tree for storing and processing positions of moving objects efficiently in the main memory DBMS. The proposed index scheme, which uses a growing node structure, prevents the splitting cost from increasing by delaying the node splitting when a node overflows. The proposed scheme also improves the search performance by using a MergeAndSplit policy for reducing overlaps between nodes and a LargeDomainNodeSplit policy for reducing a ratio of a domain size occupied by node's MBRs. Our experiments show that the proposed index scheme outperforms the existing index scheme on the maximum 30% for range queries.

• Science of Emotion and Sensibility
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• v.23 no.1
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• pp.3-16
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• 2020

Recently, as the fashion e-commerce market has expanded, the proportion of online shops that are growing rapidly has increased and with them so too has competition. Most retailers operating online shops need their own competitiveness, and accordingly, the need to develop their logistics service quality components is increasing. This study investigated the quality of the logistics services, which is a factor of the logistics service quality of the internet shop. It influences customer satisfaction and repurchase intention by collecting samples from the customers using online fashion shops. Two hundred customers who shop online were surveyed to extract the data. The sample was subjected to basic statistical analysis using the SPSS 25.0 package, and factor analysis, t-test, ANOVA, and correlation analysis were performed. The results of this study showed that the information quality of proactive return, promptness of the return process, and reliability of the return cost had a positive impact on customer satisfaction, and it had a significant influence on the customer's repurchase intention to the online store. A selection of shops showed high amounts of return reasons, high customer satisfaction, and high repurchase, whereas, in general, many others scored poorly across these criteria. This suggests that a retailer operating online should consider pages for receiving information plus sales content in addition to the quality and constituent factors of its logistics services for returns that influence repurchase and satisfaction.