• Journal of Ginseng Research
• /
• v.38 no.4
• /
• pp.278-288
• /
• 2014

Background: Panax ginseng Meyer is a traditional medicinal plant famous for its strong therapeutic effects and serves as an important herbal medicine. To understand and manipulate genes involved in secondary metabolic pathways including ginsenosides, transcriptome profiling of P. ginseng is essential. Methods: RNA-seq analysis of adventitious roots of two P. ginseng cultivars, Chunpoong (CP) and Cheongsun (CS), was performed using the Illumina HiSeq platform. After transcripts were assembled, expression profiling was performed. Results: Assemblies were generated from ~85 million and ~77 million high-quality reads from CP and CS cultivars, respectively. A total of 35,527 and 27,716 transcripts were obtained from the CP and CS assemblies, respectively. Annotation of the transcriptomes showed that approximately 90% of the transcripts had significant matches in public databases.We identified several candidate genes involved in ginsenoside biosynthesis. In addition, a large number of transcripts (17%) with different gene ontology designations were uniquely detected in adventitious roots compared to normal ginseng roots. Conclusion: This study will provide a comprehensive insight into the transcriptome of ginseng adventitious roots, and a way for successful transcriptome analysis and profiling of resource plants with less genomic information. The transcriptome profiling data generated in this study are available in our newly created adventitious root transcriptome database (http://im-crop.snu.ac.kr/transdb/index.php) for public use.

• Journal of Korean Society of Forest Science
• /
• v.101 no.1
• /
• pp.104-112
• /
• 2012

This study was carried to improve the facilities in Daegu Kyungpook public Arboreta. On the basis of visitor's performance, satisfaction and implicitly derived importance, this study conducted Revised Importance- Performance Analysis, Exploratory Factor Analysis and Regression Analysis between extracted performance factors and overall satisfaction. As a result, 'Plant and Arboretum's Landscape' factor was seemed to affect overall satisfaction quite a bit and need to keep up the good work because the attributes belonged to this factor had high importance-performance in Daegu Arboretum. The attributes located in 2 quadrant and had a relatively large effect on overall satisfaction were 'Management of information board', 'Capacity of restroom' and 'Accessibility to restroom' in Daegu Arboretum. These attributes are needed to be improved as soon as possible. Kyungpook Arboretum also had similar results in 'Plant and Arboretum's Landscape' factor but 'Parking Lot' factor was more influential to overall satisfaction compare to Daegu Arboretum. Especially, 'Capacity of parking lot' attribute, one of 'Parking Lot' factor, was the first one to be improved because it had high importance and low performance.

• Journal of Korean Academy of Oral Health
• /
• v.42 no.4
• /
• pp.101-108
• /
• 2018

Objectives: The Korea National Health and Nutrition Examination Survey (KNHANES) is a national surveillance system that has been assessing the health and nutritional status of Koreans since 1998. Based on the National Health Promotion Act, the surveys have been conducted by the Korea Centers for Disease Control and Prevention (KCDC). Methods: An oral examination as part of The National Health and Nutrition Examination was proposed to calculate the sample design and survey participation. The surveying system was presented by classifying the measurement environment, screening, and survey items by year, and the merits and limitations of using the data were suggested by examining the status of survey quality management and the process of disclosing raw data. Results: This nationally representative cross-sectional survey samples approximately 10,000 individuals each year and collects information on oral examinations and oral health interviews. Data for the oral health component of KNHANES was obtained to assess the oral health status of Koreans and determine the prevalence of dental caries and periodontitis. The oral health data quality control of KNHANES was composed of three parts: "Education Program" and "Field Training Program" for quality control of oral health examiners (dentists) by the professional academy, and "Data management" by the KCDC. After completion of the three-step data check, the indicators of dental caries, periodontal disease, and oral health behavior were published in the National Health Statistics. Conclusions: To achieve the goals of oral health indicators, we will continue to monitor so that we can use it as basic data for oral policies and carry out various linkage analyses related to oral diseases.

• Journal of Cadastre & Land InformatiX
• /
• v.44 no.2
• /
• pp.73-90
• /
• 2014

The Officially Announced Land Price System has a limit, that is required to be able to reflect changes in land constantly every year, to implement Land Characteristic Survey for calculating land price during a specific period and human resources with limited. The purpose of this study is to apply the 'National Territory Space Usage status Survey' method to survey part of the territorial feature status information inside of selected the target sites, considering the core survey items (land category, the state of land use, altitude difference, standard site inclusion, etc) in the areas surrounding Yeonshinnae Station in which three dongs (Galhyeon-dong, Daejo-dong, Bulgwang-dong) of Eunpyeong-gu, Seoul share borders with. Based on the given budget, the manpower and period was taken into consideration to sort a total of 2,041 lots and conduct surveys on all sites. This study will be able to diagnose the efficient idle human resource utilization and work process construction plan through pilot projects specialized for providing real estate information services in preparation for cases in which national territory information survey projects that provide various business model, as well as major future core projects of the corporation will be carried out.

• Journal of Distribution Science
• /
• v.13 no.10
• /
• pp.65-72
• /
• 2015

Purpose - A rapidly changing business environment places great demands on small and medium-sized enterprises (SMEs). These SMEs need to find strategic alternatives for continued growth and, ultimately, survival. Thus, mergers and acquisitions (M&A) are deemed an acceptable solution. Research to date has dealt with M&A in major organizations and focused on post merger integration (PMI). Our study focuses on SMEs, as they are relatively new and unknown to the public. Therefore, this study highlights successful M&A and decision making for SMEs through a case study analysis. Research design, data, and methodology - For this study, we examined an M&A case between company S, which produces cell phone parts, and company P, which produces SSD cases. We reviewed theories and previous studies in M&A literature. We comprehensively examined the decision-making procedure at each M&A stage, describing the situation of the buying company and the selling company from the period of the M&A announcement through deal completion. In addition, we conducted interviews with both companies. The data regarding this case study were collected through interviews with managers of both companies who actively participated in the M&A process. When necessary, we asked them about additional relevant information during the interviews. Results - The result of the M&A between company S and company P was deemed acceptable with the exception of the long negotiation period. However, company S was not able to prepare for PMI after the acquisition due to a controversy over acquisition values. Moreover, the employees of the newly formed company, especially those who came from company P, complained about the M&A and attempted to leave. Thus, implications for successful M&As of SMEs are as follows: First, the procedural compliance of the M&A is needed. Second, support is needed from the CEO for the working group, rather than excessive intervention during due diligence. Third, the right, talented members of the organization should be part of the process of the M&A. Fourth, the use of various types of outside expert or business consultants is needed. Fifth, the strategic intervention by Human Resource managers is required. Last, sharing M&A information among employees is important as information dissemination will help employees be more receptive to such a change. However, this study has several limitations as a single case study; more varied SME M&A case studies are needed in order to generalize the results of the study. Conclusions - Most of the research dealing with M&As has focused on major companies and PMI and neglected SMEs. Thus, our study focuses on SMEs and the decision-making procedures for M&A. This study has significantly contributed to the literature in this area and has provided practical information around the implications of sound decision-making during M&As. Specifically, the results of the study contribute to the need for research on M&A among SMEs, which to date has often been neglected as a topic of choice.

• Journal of KIISE:Computing Practices and Letters
• /
• v.13 no.7
• /
• pp.540-544
• /
• 2007

Researches on Sensor Network has become much more active and is currently being applied to many different fields. However since sensor network is limited to only collecting and reporting information regarding a certain event, and requires human intervention with that given information, it is often difficult to react to an event or situation immediately and proactively. To overcome this kind of limitation, Wireless Sensor and Actor Networks (WSANs) with immediate-response Actor Nodes has been proposed which adds greater mobility and activity to exisiting sensor networks. Although WSANs shares many common grounds with sensor networks, it is difficult to apply exisiting security technologies due to the fact that WSAN contains Actor Nodes that are resource-independent and mobile. This research therefore seeks to demonstrate ways to provide security, integrity and authentication services for WSAN's secure operation, by separating networks into hierarchcial structure by each node's abilities and providing different encryption key-based secure protocols for each level of hierarchy: Pair-wise Key, Node Key, and Region Key for sensor levels, and Public Key for actor levels.

• Journal of Broadcast Engineering
• /
• v.18 no.5
• /
• pp.758-770
• /
• 2013

In a Broadcast Encryption System, a sender sends an encrypted message to a large set of receivers at once over an insecure channel and it enables only users in a target set to decrypt the message with their private keys. In 2005, Boneh et al. proposed a fully collusion-resistant public key broadcast encryption in which the ciphertext and the privatekey sizes are constant. In general, pairing-based broadcast encryption system is efficient in bandwidth and storing aspects than non-pairing based broadcast encryption system, however, it requires many computational costs that resource-constrained devices is not suit to be applied. In this paper, we propose a Broadcast Encryption scheme(called BEWD) that user can decrypt a ciphertext more efficiently. The scheme is based on Boneh et al.scheme. More precisely, it reduces receiver's computational costs by delegating pairing computation to a proxy server which computation is required to receiver in Boneh et al.scheme. Furthermore, the scheme enables a user to check if the proxy server compute correctly. We show that our scheme is secure against selective IND-RCCA adversaries under l-BDHE assumption.

• Knowledge Management Research
• /
• v.23 no.4
• /
• pp.133-157
• /
• 2022

As data becomes a new core resource with high attention, MyData service is spreading to various fields such as finance, medical care, and the public sector. However, research on the behavior of MyData service users is insufficient. Therefore, this study aims to empirically examine the effect of MyData service traits on value perception and acceptable behavior particularly in the financial sector where MyData service is most active. To this end, this study proposed a research model based on the literature. 295 survey responses were collected from individuals and analyzed using AMOS 26.0 for hypothesis testing. As a result of the analysis, it was found that self-information control, financial convenience, and personalized service had a significant effect on perceived value, and that perceived value had a significant effect on the intention to accept MyData service. Furthermore, this study examined the role of personal innovation and technological security in the relationship between variables by suggesting them as moderators. Results show that individual innovation was found to strengthen the relationship between two variables(self-information control and personalized service) and perceived value. Also, technological security was shown to strengthen the relationship between perceived value and intention to accept financial MyData services. The findings are expected to provide useful information to understand the factors affecting the acceptance of financial MyData service users and to understand the importance of individual innovation levels and technological security.

• Journal of Intelligence and Information Systems
• /
• v.26 no.4
• /
• pp.27-65
• /
• 2020

Many companies on information and communication technology make public their own developed AI technology, for example, Google's TensorFlow, Facebook's PyTorch, Microsoft's CNTK. By releasing deep learning open source software to the public, the relationship with the developer community and the artificial intelligence (AI) ecosystem can be strengthened, and users can perform experiment, implementation and improvement of it. Accordingly, the field of machine learning is growing rapidly, and developers are using and reproducing various learning algorithms in each field. Although various analysis of open source software has been made, there is a lack of studies to help develop or use deep learning open source software in the industry. This study thus attempts to derive a strategy for adopting the framework through case studies of a deep learning open source framework. Based on the technology-organization-environment (TOE) framework and literature review related to the adoption of open source software, we employed the case study framework that includes technological factors as perceived relative advantage, perceived compatibility, perceived complexity, and perceived trialability, organizational factors as management support and knowledge & expertise, and environmental factors as availability of technology skills and services, and platform long term viability. We conducted a case study analysis of three companies' adoption cases (two cases of success and one case of failure) and revealed that seven out of eight TOE factors and several factors regarding company, team and resource are significant for the adoption of deep learning open source framework. By organizing the case study analysis results, we provided five important success factors for adopting deep learning framework: the knowledge and expertise of developers in the team, hardware (GPU) environment, data enterprise cooperation system, deep learning framework platform, deep learning framework work tool service. In order for an organization to successfully adopt a deep learning open source framework, at the stage of using the framework, first, the hardware (GPU) environment for AI R&D group must support the knowledge and expertise of the developers in the team. Second, it is necessary to support the use of deep learning frameworks by research developers through collecting and managing data inside and outside the company with a data enterprise cooperation system. Third, deep learning research expertise must be supplemented through cooperation with researchers from academic institutions such as universities and research institutes. Satisfying three procedures in the stage of using the deep learning framework, companies will increase the number of deep learning research developers, the ability to use the deep learning framework, and the support of GPU resource. In the proliferation stage of the deep learning framework, fourth, a company makes the deep learning framework platform that improves the research efficiency and effectiveness of the developers, for example, the optimization of the hardware (GPU) environment automatically. Fifth, the deep learning framework tool service team complements the developers' expertise through sharing the information of the external deep learning open source framework community to the in-house community and activating developer retraining and seminars. To implement the identified five success factors, a step-by-step enterprise procedure for adoption of the deep learning framework was proposed: defining the project problem, confirming whether the deep learning methodology is the right method, confirming whether the deep learning framework is the right tool, using the deep learning framework by the enterprise, spreading the framework of the enterprise. The first three steps (i.e. defining the project problem, confirming whether the deep learning methodology is the right method, and confirming whether the deep learning framework is the right tool) are pre-considerations to adopt a deep learning open source framework. After the three pre-considerations steps are clear, next two steps (i.e. using the deep learning framework by the enterprise and spreading the framework of the enterprise) can be processed. In the fourth step, the knowledge and expertise of developers in the team are important in addition to hardware (GPU) environment and data enterprise cooperation system. In final step, five important factors are realized for a successful adoption of the deep learning open source framework. This study provides strategic implications for companies adopting or using deep learning framework according to the needs of each industry and business.

• Information Systems Review
• /
• v.12 no.1
• /
• pp.59-79
• /
• 2010

According to resource based view, knowledge is regarded as a salient factor to improve an organization's efficiency in the current fast-changing business environment. Knowledge management (KM) may encourage employees to share and exchange knowledge in the organization in order to improve and sustain a competitive advantage over other companies. The proposed research model examines the impacts of KM performances' antecedents on an employee's absorptive capacity. This study identifies KM performances as employee's satisfaction about KM and shared knowledge quality. This study considers KM performances as the major determinants that enhance his/her absorptive capacity. This study also investigates the key antecedents of KM performances. The research model posits extrinsic reward, intrinsic reward, and relational reward as the KM performances' antecedents. Furthermore, this study examines the difference of the antecedents' effects in terms of firm's type. The proposed research model was tested by using survey data collected from 1,103 employees of 2 public enterprises and 907 employees of 5 private enterprises. The findings of this study showed that employee's satisfaction about KM and shared knowledge quality play a significant role in enhancing employee' absorptive capacity. Extrinsic reward only significantly influences employee's satisfaction about KM, whereas both intrinsic and relational rewards serve as the salient antecedents of improving both KM performances. The results also shed light on the moderating role of firm's type. Theoretical and practical implications of this study are discussed.