• The Research Journal of the Costume Culture
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• v.29 no.3
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• pp.346-360
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• 2021

Universities have recently introduced problem-based learning (PBL) to various subjects to enhance problem-solving skills (including self-directed learning and small-group learning) required in industry. The PBL module was applied to the personal production process in a draping class. A study was based on a questionnaire after conducting two PBL modules with a group of students. Each PBL module included 'design analysis', 'presentation of flat sketch and draping plan', 'discussion of the plan', 'evaluation of the draping result and correcting the problem', and 'final evaluation of the completed project'. Results showed that satisfaction with the PBL method and its activities was higher than satisfaction with existing teaching methods. In particular, among the various components, the 'design analysis' and 'the presentation step of flat sketch and draping plan' stages were more helpful to students compared to small-group discussion. Moreover, the effects of PBL were observed through student reflection essays, in which students suggested that PBL was very effective in enhancing problem-solving through self-directed and small-group learning. Despite the overall satisfaction with PBL, students expressed some minor difficulties associated with awkwardness with a novel learning method, lack of diverse perspectives among each group, and poor communication skills. Therefore, the study shows that PBL is highly likely to be useful to students when they are solving pattern drafting problems and making samples through self-directed learning and small-group learning.

• Korean Journal of Clinical Pharmacy
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• v.31 no.1
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• pp.1-11
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• 2021

Objective: This study aimed to overview and assess the effectiveness of the policies and regulations that have governed new drug access in Korea, and to propose policies to enhance patient access to drugs, particularly for new innovative medicines. Methods: We approached drug access issues in two perspectives: approval lag (or availability) and reimbursement lag (or affordability). The issues were identified and evaluated through the review of literature, public documents, reports published by the government agencies and private organizations, and news articles. Results: To shorten approval lag, it is recommended to hire and train more reviewers at the Ministry of Food and Drug Safety. Increasing user fees to a realistic level can facilitate this process. To reduce reimbursement lag, flexible incremental cost-effectiveness ratio threshold, alternative cost-effectiveness evaluation, and establishment of funding source other than the national health insurance are identified as the areas to be improved. Conclusion: The current policies and regulations had to be supplemented by new systems to drastically promote patient accessibility to new drugs, consequently in order to promote national public health.

• Journal of East Asia Management
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• v.2 no.1
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• pp.63-92
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• 2021

Human activities have been putting a great burden on the earth, leading to many serious problems, such as lack of resources, ecological degradation and air degradation. Although many countries have recognised this circumstance and have developed some sustainable development strategies, the earth still needs research on sustainability in different views and various industries. The nursing industry has grown with the ageing of the global population in recent years, and professional nursing institutions could relieve structural deterioration caused by the ageing population in family, social, economic and cultural. Hence, exploring the key criteria of organisational sustainability in the nursing industry is of the utmost priority. This paper puts forward an evaluation framework to identify the key criteria of organisational sustainability. After connections with nursing homes A and B in China, the author adopts literature research to confirm the criteria system which is based on triple bottom line, utilises analytical network process method to design the network hierarchy analysis model and importance comparison questionnaires to collect experts' first-hand data, and uses technical software - Super Decisions to integrate data and obtain final results. The results recommend three top-ranked criteria in the entire system, eco-recruitment, eco-procurement and corporate social responsibility are discussed with some professional suggestions in the end. The limitations are also extended in the last chapter to provide future research perspectives.

• Journal of the Semiconductor & Display Technology
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• v.22 no.2
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• pp.45-49
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• 2023

When blockchain technology, which shows various applicability, is utilized as a component of a database system, the characteristics of open verification and integrity/transparency of blockchain technology can bring new functionalities or enhanced results to the existing database system. However, when applying this blockchain technology to a database system, the cost versus expected effect in various performance perspectives must be evaluated. These costs include execution time and required storage space, and the performance of the converged system may vary in analysis method depending on the configuration method of the characteristics of the blockchain. This paper aims to propose an analysis model for the entire architecture by considering aspects that are not considered in the performance analysis models of database systems and the unique characteristics of blockchains. In doing so, we are trying to build a theoretical framework as an important conceptual technique that should be considered in the evaluation process of the performance results that can be obtained through the utilization of blockchain components in database systems. What we hope is that this work is expected to provide a useful foundation for researchers interested in the convergence of database systems and blockchain technology in order to construct a system with new future functionalities.

• Journal of Information Technology Applications and Management
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• v.29 no.6
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• pp.1-12
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• 2022

In recent years, technological competition in the automobile sector is accelerating. This study analyzes the status of patents from a global perspective of three promising future items that Korea has selected as core technologies in the field of autonomous driving,. And the technological cooperation ecosystem was identified through network analysis centered on scientific metrology. As a result of the analysis, it was confirmed that the growth of individual technologies has been strengthened in recent years, and although key source technologies have been largely preempted in major global countries, a close cooperative ecosystem between institutions, companies, and universities in major countries has not yet been formed. Specifically, the US and Japan have the technological leadership, while China is rapidly rising, and Korea is chasing after it as a latecomer. Therefore, it is necessary to continuously strengthen technological cooperation such as R&D of core technology to overcome technological limitations and strengthening of infrastructure construction, attracting excellent foreign talents and international exchanges. This analysis is meaningful in that it explores the global status of Korea's technology and the possibility of technological cooperation from various perspectives in the future from the viewpoint of preoccupation of future technology, rather than grasping the trend of a specific technology.

• Information Systems Review
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• v.8 no.1
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• pp.241-263
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• 2006

Since 1995 many enterprises have introduced ERP to strengthen competitive power. However, enterprises that have introduced ERP for the first time have experienced various types of problems integrating them; to this day, there are only a few enterprises that have implemented ERP successfully. The main reason for the failures of successful ERP implementing is that enterprises frequently ignore and/or don't know how to systematically evaluate the construction process of ERP and busy finishing a phase without resolving problems before going on to the next phase. This research focused on the implementation process of ERP project to evaluate the process of ERP at each phase. As a result, we propose an evaluation model of ERP project as a tool to find critical problems at each phase and improve on how to resolve the problems found at each phase. This evaluation model makes it possible to introduce ERP successfully by presenting the basis of assessment which will be used by enterprises to minimize the trial and error of construction process of ERP.

• Journal of Navigation and Port Research
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• v.31 no.5 s.121
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• pp.377-383
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• 2007

The number of calling ports has been decreased and the degree of inter- and intra-port competition has been increased, which is caused by the market trends that shipping liners have and operate their own terminals, strategic M & A frequency occurs among shipping liners, and container vessel size is increasing. The trends also cause shipping liners to change the evaluation factors for decision to call a particular port such as port preference, potential for growth, port competitiveness, etc. Since the decision of liners greatly influences the policies for port and terminal development, it is worth having interest in the evaluation factors. Therefore, this work intended to evaluate 8 major ports (Port of Singapore, Hong Kong, Shanghai, Busan, Rotterdam, Kaoshing, and Tokyo) with regard to liners' evaluation factors (calling port preference, potential for growth and port competitiveness) and to classify ports by similarity of evaluation factors with the methodologies of ANOVA analysis and Duncan test. The result shows implication for liners' viewpoint to evaluate major ports in the world.

• The Journal of the Acoustical Society of Korea
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• v.41 no.1
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• pp.30-37
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• 2022

This paper compares and evaluates model performance from two perspectives according to the learning target and network structure for training Deep Neural Network (DNN)-based speech enhancement models in the frequency domain. In this case, spectrum mapping and Time-Frequency (T-F) masking techniques were used as learning targets, and a real network and a complex network were used for the network structure. The performance of the speech enhancement model was evaluated through two objective evaluation metrics: Perceptual Evaluation of Speech Quality (PESQ) and Short-Time Objective Intelligibility (STOI) depending on the scale of the dataset. Test results show the appropriate size of the training data differs depending on the type of networks and the type of dataset. In addition, they show that, in some cases, using a real network may be a more realistic solution if the number of total parameters is considered because the real network shows relatively higher performance than the complex network depending on the size of the data and the learning target.

• Journal of the Korean Chemical Society
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• v.55 no.5
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• pp.875-881
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• 2011

This study examined factors influencing college science learning from the perspectives of college students and high school science teachers. Using a survey created based on focus group interviews, college science majors and high school science teachers rated various factors of high school learning that positively influenced college science learning. Findings suggested that the perceptions differed by college major: the physics major students considered math proficiency and logical thinking skills as the important factors; chemistry major students and biology major students considered English proficiency and basic scientific knowledge as the most important factors. Both college students and science teachers emphasized basic science knowledge and math proficiency. However, differences between the two groups were also found in that the students perceived more need to learn about experimentation than the teachers whereas the teachers had a priority in increasing advanced science content.

• Journal of Internet Computing and Services
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• v.17 no.5
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• pp.97-110
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• 2016

Cryptanalysis is very important step for auditing and checking strength of any cryptosystem. Some of these cryptosystem ensures confidentiality and security of large information exchange from source to destination using symmetric key cryptography. The cryptanalyst investigates the strengths and identifies weakness key as well as enciphering algorithm. With increase in key size the time and effort required to guess the correct key increases so trend is increase key size from 8, 16, 24, 32, 56, 64, 128 and 256 bits to strengthen the cryptosystem and thus algorithm continues without compromise on the cost of time and computation. Automatic Variable Key (AVK) approach is an alternative to the approach of fixing up key size and adding security level with key variability adds new dimension in the development of secure cryptosystem. Likewise, whenever any new cryptographic method is invented to replace per-existing vulnerable cryptographic method, its deep analysis from all perspectives (Hacker / Cryptanalyst as well as User) is desirable and proper study and evaluation of its performance is must. This work investigates AVK based cryptic techniques, in future to exploit benefits of advances in computational methods like ANN, GA, SI etc. These techniques for cryptanalysis are changing drastically to reduce cryptographic complexity. In this paper a detailed survey and direction of development work has been conducted. The work compares these new methods with state of art approaches and presents future scope and direction from the cryptic mining perspectives.