• Journal of Technologic Dentistry
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• v.12 no.1
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• pp.67-72
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• 1990

The purpose of this study was to find job maturity of dental technology students in Taegu area. In order to accomplish the objectives stated above, the following research methods were utilized : 1. The related literatures including previous studies and journal were reviewed to develop the questionnaire for this purpose. 2. Field survey and questionnaire survey were conducted to collect data from 360 students sampled and analyzed by frequency percentage $X^2$-score. In consquence of analysis of the responses, the finding were as follows : 1. The job maturity of students was shown high. The grade point of 98.6 percent students as a whole was above three point. 2. As compared by academic year of sophomore students was higher than that of freshmen's, and male students were shown greater score than female students.

• Food Science and Biotechnology
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• v.15 no.1
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• pp.44-50
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• 2006

Contents of phenolic compounds in peel, flesh, and core of three Asian pear cultivars, Hosui, Niitaka, and Chuwhangbae, were determined at different stages of maturity. Antioxidant properties of methanol extracts of peels at various fruit maturity stages were also evaluated. Total phenolic content decreased with maturity. Arbutin, chlorogenic acid, and epicatechin were major phenolic compounds in young fruits. Catechin, 4-hydroxymethyl benzoic acid, and caffeic acid were detected in peel and core of immature and mature pears. 2, 2-diphenyl-1-picrylhydrazyl (DPPH) radical-scavenging activities of methanol extracts were 16.30 and $15.73\;{\mu}g$ in peel of immature Hosui and Chuwhangbae pears, respectively, and $11.59\;{\mu}g$ in mature Niitaka pears, which was significantly higher than those of other maturity stage in the same cultivar. Inhibitory activities on lipid oxidation of methanol extracts of three cultivars at all maturity stages were similar to that of ${\alpha}$-tocopherol.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.251-254
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• 2005

소프트웨어 품질의 중요성이 커짐에 따라, 기업들은 품질을 높이기 위해 테스트에 많은 노력을 기울이고 있다. 최근에는 테스트 성과를 높이기 위한 방법중의 하나로 테스트 프로세스 개선이 주목 받고 있다. 이를 위해 기업들은 SW-CMM(Capability Maturity Model for Software), CMMI(Capability Maturity Model Integration)와 같은 일반적인 프로세스 개선 모델들이나, TMM (Test Maturity Model), TPI (Test Process Improvement Model), TCMM (Testing Capability Maturity Model)과 같은 테스트 프로세스 개선 모델들을 적용하고 있다. 그러나 일반적인 프로세스 개선 모델들은 테스트 관련 이슈를 충분히 다루고 있지 않고, 테스트 프로세스 개선 모델들은 구조가 불완전하거나 내용이 충분하지 않아 적용 시 많은 어려움이 있다. 이에 본 논문에서는 TMM 과 CMMI 를 기반으로 조직들의 테스트 프로세스 확립이나 개선을 지원할 수 있는 새로운 테스트 프로세스 성숙도 모델인 TPMM(Test Process Maturity Model)을 연구, 개발하였다. 개발된 TPMM 을 통해 조직에서 테스트 프로세스를 개선하고, 심사하는 것을 지원할 수 있을 것으로 기대된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.4
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• pp.763-768
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• 2016

IT is the information in government/public policy and technological trends in the industry's R&D has a direct impact on its investment decision making of the very important information. Due to the nature of the information in this technical trend because essential information on open public data the technology by government departments and public institutions that are responsible for producing, on an ongoing basis. In this paper, it was confirmed through the experiment that the method and the possibility to integrate the technology trend information provided by the various agencies can be diagnosed as a maturity level. Also we propose a data collection and processing, storage, optimized service for technical maturity of diagnostic methods. The proposed method determines the overall system configuration and service data ITFIND overall maturity level diagnosis is enabled by leveraging the collected. In addition, through the compensation is considered to be able to proceed to a more accurate diagnostic level.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.1
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• pp.90-98
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• 2022

On February 12, 2019, the U.S. Department of Defense newly established and announced the "Defense AI Strategy" to accelerate the use of artificial intelligence (AI) technology for military purposes. As China and Russia invested heavily in AI for military purposes, the U.S. was concerned that it could eventually lose its advantage in AI technology to China and Russia. In response, China and Russia, which are hostile countries, and especially China, are speeding up the development of new military theories related to the overall construction and operation of the Chinese military based on AI. With the rapid development of AI technology, major advanced countries such as the U.S. and China are actively researching the application of AI technology, but most existing studies do not address the special topic of defense. Fortunately, the "Future Defense 2030 Technology Strategy" classified AI technology fields from a defense perspective and analyzed advanced overseas cases to present a roadmap in detail, but it has limitations in comparing private technology-oriented benchmarking and AI technology's maturity level. Therefore, this study tried to overcome the limitations of the "Future Defense 2030 Technology Strategy" by comparing and analyzing Chinese and U.S. military research cases and evaluating the maturity level of military use of AI technology, not AI technology itself.

• The Journal of Information Systems
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• v.23 no.3
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• pp.99-125
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• 2014

Internet environment and innovative ICT(information and communication technology) have brought about big changes to our lifestyle and industrial structure. In spite of the convenience of Internet, various cyber incidents such as malicious code infection, personal information leakage, smishing(sms + phishing), and pharming have frequently occurred. Information security must be recognized as a key and compulsory element for surviving in a global economy. Strategic roles of information security have recently been increasing, but effective implementation of information security is still a major challenge to organizations. Our study examines the influencing factors of information security and investigates the causal relationship between information security maturity level and organizational performance through an empirical survey. According to the results of our study, personal, organizational, technical, and social factors affect organizations's information security maturity level altogether. This result suggests that when dealing with security issues, the holistic and multi-disciplinary approaches should be required. In addition, there is a causal relationship between information security maturity level and organizational performance, and organizations aim to establish the efficient and effective ways to enhance information security maturity level on the basis of the results of this study.

• Journal of Information Technology and Architecture
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• v.9 no.3
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• pp.265-273
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• 2012

To improve M&S and SBA, it is important that their capability and maturity models should be developed. In general, capability and maturity models provide the standards for growth and improvement as well as the assessment on the organizational maturity level and the process capabilities, which are composed of a standard reference model and appraisal methods. In this paper, following introduction of a standard reference model for SBA in brief, we investigate some appraisal methods by survey and provide frameworks of appraisal method for SBA.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.2
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• pp.115-136
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• 2023

The purpose of this study is to establish a weighting system for the diagnostic criteria of the KISTI Open Access Maturity Model. The maturity model consists of three dimensions, 12 sub-dimensions, and 28 measurement questions. Weighting was performed for the three dimensions and 12 sub-dimensions to determine their relative importance. The results showed that 'Institutionalization of OA' (48%) was the most important factor in the three dimensions. Among the sub-factors of "institutionalizing OA," "enacting and revising relevant regulations" (64%) was important, and "financing" (39%) was important for "OA sustainability. Submission and review (23%) and author rights (22%) were identified as important elements of "journal openness".

• Korean Journal of Agricultural Science
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• v.49 no.4
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• pp.785-793
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• 2022

In this study, tomato maturity was estimated based on deep learning for a harvesting robot. Tomato images were obtained using a RGB camera installed on a monitoring robot, which was developed previously, and the samples were cropped to 128 × 128 size images to generate a dataset for training the classification model. The classification model was constructed based on convolutional neural networks, and the mean-variance loss was used to learn implicitly the distribution of the data features by class. In the test stage, the tomato maturity was estimated as a continuous index, which has a range of 0 to 1, by calculating the expected class value. The results show that the F1-score of the classification was approximately 0.94, and the performance was similar to that of a deep learning-based classification task in the agriculture field. In addition, it was possible to estimate the distribution in each maturity stage. From the results, it was found that our approach can not only classify the discrete maturation stages of the tomatoes but also can estimate the continuous maturity.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.151-171
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• 2014

Firms today have sought management effectiveness and efficiency utilizing information technologies (IT). Numerous firms are outsourcing specific information systems functions to cope with their short of information resources or IT experts, or to reduce their capital cost. Recently, Software-as-a-Service (SaaS) as a new type of information system has become one of the powerful outsourcing alternatives. SaaS is software deployed as a hosted and accessed over the internet. It is regarded as the idea of on-demand, pay-per-use, and utility computing and is now being applied to support the core competencies of clients in areas ranging from the individual productivity area to the vertical industry and e-commerce area. In this study, therefore, we seek to quantify the value that SaaS has on business performance by examining the relationships among firm strategies, SaaS technology maturity, and business performance of SaaS providers. We begin by drawing from prior literature on SaaS, technology maturity and firm strategy. SaaS technology maturity is classified into three different phases such as application service providing (ASP), Web-native application, and Web-service application. Firm strategies are manipulated by the low-cost strategy and differentiation strategy. Finally, we considered customer acquisition as a business performance. In this sense, specific objectives of this study are as follows. First, we examine the relationships between customer acquisition performance and both low-cost strategy and differentiation strategy of SaaS providers. Secondly, we investigate the mediating and moderating effects of SaaS technology maturity on those relationships. For this purpose, study collects data from the SaaS providers, and their line of applications registered in the database in CNK (Commerce net Korea) in Korea using a questionnaire method by the professional research institution. The unit of analysis in this study is the SBUs (strategic business unit) in the software provider. A total of 199 SBUs is used for analyzing and testing our hypotheses. With regards to the measurement of firm strategy, we take three measurement items for differentiation strategy such as the application uniqueness (referring an application aims to differentiate within just one or a small number of target industry), supply channel diversification (regarding whether SaaS vendor had diversified supply chain) as well as the number of specialized expertise and take two items for low cost strategy like subscription fee and initial set-up fee. We employ a hierarchical regression analysis technique for testing moderation effects of SaaS technology maturity and follow the Baron and Kenny's procedure for determining if firm strategies affect customer acquisition through technology maturity. Empirical results revealed that, firstly, when differentiation strategy is applied to attain business performance like customer acquisition, the effects of the strategy is moderated by the technology maturity level of SaaS providers. In other words, securing higher level of SaaS technology maturity is essential for higher business performance. For instance, given that firms implement application uniqueness or a distribution channel diversification as a differentiation strategy, they can acquire more customers when their level of SaaS technology maturity is higher rather than lower. Secondly, results indicate that pursuing differentiation strategy or low cost strategy effectively works for SaaS providers' obtaining customer, which means that continuously differentiating their service from others or making their service fee (subscription fee or initial set-up fee) lower are helpful for their business success in terms of acquiring their customers. Lastly, results show that the level of SaaS technology maturity mediates the relationships between low cost strategy and customer acquisition. That is, based on our research design, customers usually perceive the real value of the low subscription fee or initial set-up fee only through the SaaS service provide by vender and, in turn, this will affect their decision making whether subscribe or not.