• Journal of Microbiology and Biotechnology
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• v.29 no.1
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• pp.79-90
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• 2019

Lichens are generally known as self-sufficient, symbiotic life-forms between fungi and algae/cyanobacteria, and they also provide shelter for a wide range of beneficial bacteria. Currently, bacterial-derived biodegradable polyhydroxyalkanoate (PHA) is grabbing the attention of many researchers as a promising alternative to non-degradable plastics. This study was conducted to develop a new method of PHA production using unexplored lichen-associated bacteria, which can simultaneously degrade two ubiquitous industrial toxins, anthracene and naphthalene. Here, 49 lichen-associated bacteria were isolated and tested for PHA synthesis. During the GC-MS analysis, a potential strain of EL19 was found to be a 3-hydroxyhexanoate (3-HHx) accumulator and identified as Pseudomonas sp. based on the 16S rRNA sequencing. GC analysis revealed that EL19 was capable of accumulating 30.62% and 19.63% of 3-HHx from naphthalene and anthracene, respectively, resulting in significant degradation of 98% and 96% of naphthalene and anthracene, respectively, within seven days. Moreover, the highly expressed phaC gene verified the genetic basis of $PHA_{mcl}$ production under nitrogen starvation conditions. Thus, this study strongly supports the hypothesis that lichen-associated bacteria can detoxify naphthalene and anthracene, store energy for extreme conditions, and probably help the associated lichen to live in extreme conditions. So far, this is the first investigation of lichen-associated bacteria that might utilize harmful toxins as feasible supplements and convert anthracene and naphthalene into eco-friendly 3-HHx. Implementation of the developed method would reduce the production cost of $PHA_{mcl}$ while removing harmful waste products from the environment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.165-166
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• 2019

Big data analysis is the ability to collect, store, manage and analyze data from existing database management tools. Big data refers to large scale data that is generated in a digital environment, is large in size, has a short generation cycle, and includes not only numeric data but also text and image data. Big data is data that is difficult to manage and analyze in the conventional way. It has huge size, various types, fast generation and velocity. Therefore, companies in most industries are making efforts to create value through the application of Big data. In this study, we analyzed the meaning of keyword using Social Matrix, a big data analysis tool of Daum communications. Also, the theoretical implications are presented based on the analysis results.

• The Journal of Korean Physical Therapy
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• v.31 no.2
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• pp.67-75
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• 2019

Purpose: Patients with brain damage suffer from limitations in performing the activities of daily living (ADL) because of their motor function and visual perception impairment. The aim of this study was to help improve the motor function and visual perception ability of patients with brain damage by providing them with virtual reality-based contents. The usability results of the patients and specialists group were also evaluated. Methods: The ADL contents consisted of living room, kitchen, veranda, and convenience store, similar to a real home environment, and these were organized by a rehabilitation specialist (e.g., neurologist, physiotherapist, and occupational therapist). The contents consisted of tasks, such as turning on the living room lights, organizing the drawers, organizing the kitchen, watering the plants on the veranda, and buying products at convenience stores. To evaluate the usability of the virtual reality-based visual cognitive rehabilitation service, general elderly subjects (n=11), stroke patients (n=7), stroke patients with visual impairment (n=4), and rehabilitation specialists (n=11) were selected. The questionnaires were distributed to the subjects who were using the service, and the subjective satisfaction of individual users was obtained as data. The data were analyzed using SPSS 21.0 software. The general characteristics of the users and the evaluation scores of the experts were analyzed using descriptive statistics. Results: The usability test result of this study showed that the mean value of the questionnaire related to content understanding and difficulty was high, between 4-5 points. Conclusion: The virtual reality rehabilitation service of this study is an efficient service that can improve the function, interest, and motivation of stroke patients.

• The Korean Journal of Franchise Management
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• v.11 no.1
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• pp.19-29
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• 2020

Purpose - To understand the assessment basis of customers' coffee shop experience and give more practical advices to the franchised coffee shops which are poorly managed in the competitive market, this study identified factors to measure the quality of customer experience and explored the relationship between these factors and customer satisfaction and loyalty. Further, this study analyzed which role self-efficacy played in the structural relationship between the quality assessment factors, satisfaction and loyalty of franchised coffee shops. Research design, data, methodology - The data were collected from respondents who had visited franchised coffee shops within the previous month through online survey. The questionnaires were surveyed from February 11 to February 14, 2019. A total of 318 responses were collected after excluding four of incomplete or uncandid responses. A structural equation modeling approach was used to examine the proposed hypothesis and a confirmatory factor analysis was employed to verify the four dimensions of quality assessment. Results - The findings of this study are as follows. First, the three of quality assessment variables significantly influenced on satisfaction except environmental quality. Second, economic and service quality significantly influenced on self-efficacy but environmental and menu quality didn't. Third, satisfaction significantly influenced on loyalty but not on self-efficacy. Fourth, self-efficacy significantly influenced on Loyalty. Conclusions - This study identified the four dimensions to assess the franchised coffee shop service - menu, environment, service and economic quality and verified these four dimensions are valid as indicators to measure the quality of customers' coffee shop experience. Further, by empirically testing the structural relationships among these quality assessment dimensions, satisfaction, self-efficacy and loyalty, this study provided theoretical foundations to explore the relationship between customer and the franchised stores in restaurant businesses. For the industry, the study findings showed that customers highly appreciated menu and economic quality of the service rather than the stores' interior. This indicate that the franchised coffee shops need to focus more on the basics of coffee such as taste and menu variety and economic value than the decoration of the store, which are often over-invested nowadays.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.307-314
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• 2020

The video surveillance service is being widely deployed around our lives and the service stores sensitive data such as video streams in the cloud over the Internet or the centralized data store in an on-premise environment. The main concerning of these services is that the user should trust the service provider how secure the video or data is stored and handled without any concrete evidence. In this paper, we proposed the approach to protecting video by PKI (public key infrastructure) with a blockchain network. The video is encrypted by a symmetric key, then the key is shared through a blockchain network with taking advantage of the PKI mechanism. Therefore, the user can ensure the sensitive data is always kept secure and traceable in its lifecycle.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.166-171
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• 2020

Big data processing technology that can store and analyze data and obtain new knowledge has been adjusted for importance in many fields of the society. Big data is emerging as an important problem in the field of information and communication technology, but the mind of continuous technology is rising. the R, a tool that can analyze big data, is a language and environment that enables information analysis of statistical bases. In this paper, we use this to analyze the Bible data. We analyze the four Gospels of the New Testament in the Bible. We collect the Bible data and perform filtering for analysis. The R is used to investigate the frequency of what text is distributed and analyze the Bible through social network analysis, in which words from a sentence are paired and analyzed between words for accurate data analysis.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.12 no.5
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• pp.53-61
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• 2002

In this paper, we will introduce a design of key recovery based on XML can be used in B2B environment. XML Digital Signature and XML Encryption that are defied recently as standards by W3C(World Wide Web Consortium) are deployed to sign/verify or encrypt/decrypt documents for electronic commerce and keys to store/load at/from key recovery server. The result of signature or encryption is always an XML document and all messages used in this key recovery system are also XML documents. It enables to adapt transparently this key recovery system to legacy XML applications and electronic commerce platforms based on XML. And its method for key recovery is key escrow. One of the characteristics of this key recovery is that one enterprise can recover keys of some documents for electronic commerce from external key recovery system in other enterprises related with them and also recover keys from owns.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.4
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• pp.105-113
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• 2020

This study examines the effects of job stress on employees in the beauty service industry and the consequences on job satisfaction and organizational commitment. Based on the analysis of the job stress of beauty employees, the purpose of the study is to identify the beauty service industry's problems and present marketing implications. First, it was found that employees' job stress in the beauty service industry harmed job satisfaction. Beauty workers with a high job satisfaction increase the quality of service for customers, which can increase the customer's store loyalty, helping the beauty service industry's work performance, thereby further increasing job satisfaction by reducing job stress. Second, it was found that employees' job stress in the beauty service industry harmed organizational commitment. The higher the organizational commitment is, the more sense of belonging is created, which in turn can improve the work performance of the beauty industry workers and reduce the turnover rate. Therefore, it is necessary to find a way to increase organizational commitment by reducing beauty workers' job stress. Third, it was found that employees' job satisfaction in the beauty service industry had a positive effect on organizational commitment. These results show that the higher the job satisfaction related to the beauty worker's current job satisfaction, current salary satisfaction, satisfaction with the boss, satisfaction with the work environment, and passion for the job, the higher the organizational commitment.

• Industry Promotion Research
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• v.7 no.1
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• pp.9-15
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• 2022

This study tried to analyze the growth background of Starbucks, a competitive company in the Korean coffee industry. Therefore, by using the STEEP analysis technique, each company's competitiveness was analyzed and the results were used to derive competitive factors. And the research results are as follows. Looking at the social aspect, economic activity has been a catalyst for women as the standard of living has increased due to economic growth. In addition, in the case of coffee culture in the past, Starbucks' response strategy, which has seen the transformation from vending machine mixed coffee culture to a consumer market that emphasizes cultural and spatial aspects, was effective. Looking at the technical aspect, the deviation has been reduced by securing uniform standardization of the taste of coffee beans at franchise stores, and the operation of a standardized operating system was possible by operating the store directly. And looking at the economic aspect, as the coffee consumption market continues to expand, the overall size of the market has also grown proportionally, creating a stable growth environment. Lastly, looking at the environmental and policy aspects, it is that the marketing strategy direction based on the policy activities as an eco-friendly company as a market leader has been the main focus of the recent policy direction emphasizing eco-friendliness.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.159-168
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• 2021

Building Information Modeling (BIM) data is a digitized construction design by worldwide construction design stands rules. Some research are being conducted to utilize blockchain for safe sharing and trade of BIM data, but there is no way to store BIM data directly in the blockchain due to the size of BIM data and technical limitation of the blockchain. In this paper, we propose a method of storing BIM data by combining a distributed file system and a blockchain. We propose two network overlays for storing BIM data, and we also propose generating the Level of Detail (LOD)-based merkle tree for efficient verification of BIM data. In addition, this paper proposes a system design for distributed storage of BIM data by using blockchain besu client and IPFS client. Our system design has a result that the processing speed stably increased despite the increase in data size.