• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.697-706
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• 2020

The relationship between education and work is of the greatest concern to individuals and society because they are the key drivers of growth and development. In the context of Industry 4.0, labor and educators are facing the challenges of big changes in the workplace. How to prepare undergraduate students for the world of employment has become the most important mission of higher education providers. This paper explored the competency gap in the labor market in Vietnam from the perspective of employees who have been dissatisfied with the current status. First, a qualitative method with the Delphi technique was applied to confirm this consensus in an employees' competency model. Then, the satisfaction level for each competency criterion was explored by applying the advance quantitative method, namely, best non-fuzzy performance approach. Lifelong learning was ranked first, followed by creativity and innovation, foreign languages, expertise and digitalization, adaptability, and finally, organizing and managing ability. Critical thinking and problem-solving were perceived to have the biggest gap. The order of competency satisfaction is useful in explaining the mismatch between education quality and labor market demand. The findings provide valuable guidelines for education managers who seek to bridge the competency gap and improve education quality.

• KIISE Transactions on Computing Practices
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• v.23 no.1
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• pp.1-12
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• 2017

Preventive maintenance is required for best performance of facilities in large scale industry. Ultimately, the efficiency of production is maximized by preventing the failure of facilities in advance. Typically, regular maintenance is conducted manually; however, it is hard to prevent repeated failures. Also, since measures to prevent failure depend on proactive problem-solving by the facility expert, they have limitations when the expert is absent or diagnosis error is made by an unskilled expert. Alarm system is used to aid manual facility diagnosis and early detection. However, it is not efficient in practice, since it is designed to simply collect information and is activated even with small problems. In this study, we designed and developed an automated preventive maintenance system based on expert's experience in detecting failure, determining the cause, and predicting future system failure. We also discussed the system structure designed to reuse the expert's knowledge and its applications.

• Korean Journal of Human Ecology
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• v.18 no.4
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• pp.809-824
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• 2009

The purpose of this study is to examine the contents and concept of program for healthy family and provide job opportunity and competency of healthy family supporter. For this research, participants are 51 healthy family supporters as a middle manager. Data were obtained through the survey using a questionnaire developed by the ministry of women and family and headquarter of healthy family support centers in 2007. The research process consists of two parts. One is to suggest their jobs and requirements, the other is to offer their core competency and area for improvement. First, the jobs of healthy family supporters as a middle manager are the generalization of team's work including the planning, management and coordination, training for the staff, and network of social resources. They recognized the planning and management of healthy family support center's goal and course as a strategic job. The requirements for the performance of their duties are having a bachelor's or a master's degree, career more than for 3 years, and a certificate of qualification of healthy family supporters, social worker and family counselor. Second, their competencies are the understanding of education of family life, theory of family counselling, the planning and valuation of program for healthy family, understanding for the variegated family, management of organization, networking with resources, ability of documentation, ability of persuasion and negotiation, management of time, sociality, communication skill, solving the problem, positiveness, cooperative spirit and so on.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1444-1452
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• 2010

There is very little information on mobile terminal service systems such as CRUMPET because the all the users have different situations and characteristic, and so it is also difficult to find correlations. Because of the difficulty of customizing and recommending information based on preference stemming from the users' various situations and characteristics, they usually provide limited, conceptual information. This paper will recommend a system that recommends information tailored to the user's situation and characteristics, using the Spearman correlation coefficients. It finds correlations from users' information and sequences information that is suitable to the user's situation and characteristics into a list, thereby solving the problem of limited, conceptual information. Performance tests have revealed when compared to existing service systems, this system is more effective in terms of precision and recall, with a 92.3% precision rate, and a 73.8% recall rate.

• Journal of KIISE
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• v.45 no.1
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• pp.30-35
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• 2018

GuessWhat?! is a game in which two machine players, composed of questioner and answerer, ask and answer yes-no-N/A questions about the object hidden for the answerer in the image, and the questioner chooses the correct object. GuessWhat?! has received much attention in the field of deep learning and artificial intelligence as a testbed for cutting-edge research on the interplay of computer vision and dialogue systems. In this study, we discuss the objective function and characteristics of the GuessWhat?! game. In addition, we propose a simple solver for GuessWhat?! using a simple rule-based algorithm. Although a human needs four or five questions on average to solve this problem, the proposed method outperforms state-of-the-art deep learning methods using only two questions, and exceeds human performance using five questions.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.261-268
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• 2020

Machine learning is achieved by making a cost function from a given digital signal data and optimizing the cost function. The cost function here has local minimums in the cost function depending on the amount of digital signal data and the structure of the neural network. These local minimums make a problem that prevents learning. Among the many ways of solving these methods, our proposed method is to change the learning step-size. Unlike existed methods using the learning rate (step-size) as a fixed constant, the use of multivariate function as the cost function prevent unnecessary machine learning and find the best way to the minimum value. Numerical experiments show that the results of the proposed method improve about 3%(88.8%→91.5%) performance using the proposed method rather than the existed methods.

• Journal of the Korean School Mathematics Society
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• v.12 no.2
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• pp.151-170
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• 2009

The purpose of the study is to analyze the sixth graders' understanding of concepts and operation about fraction. The test was administered and analyzed to 707 sixth graders' performance on fractions after the fraction instructions in elementary schools in Seoul, Korea. The participants are asked to answer two sets of questions for 40 minutes. First, they are asked to answer to 16 problems about the concepts of fraction with respect to part-whole, ratio, operator, measure, quotient, equivalent, and operations. Second, specially, to investigate sixth graders' ability of drawing and describing the situation of division including fraction, the descriptive problem asked students (1) to describe $3\;{\div}\;\frac{1}{2}$ into pictorial representation and (2) to write the solving process. The participants of this study didn't show deep understandings about the concepts and operation of fraction. The degree of understanding of subconstructs of fraction shows that their knowledge of ratio concept with respect to fraction was highest while their understanding of measure with respect to fraction was lowest. Considering their wrong answers, about 59% of participants showed misconception to the question of naming one fraction that appears between $\frac{1}{5}$ and $\frac{1}{6}$. Further, they didn't explain their understanding with drawing about the division of fraction ($3\;{\div}\;\frac{1}{2}$).

• Journal of Engineering Education Research
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• v.13 no.6
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• pp.180-187
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• 2010

Design and management of information and industrial engineering (DMIIE) is a project-oriented junior/senior class that integrates the methodologies of industrial and information engineering in order to solve real-world problems. It examines social issues, engineering approaches to solve the problems and business models that can generate sustainable value for society. This course help students use their engineering knowledge to assess and solve the problems faced by local community. By conducting real-world projects, students get an opportunity to refine their oral and written communication skills. In this paper, the experience of DMIIE course is presented. The effects of the community-based learning for a senior design course are discussed. The possibility of using this blended type of design course to meet the ABEEK outcomes is also stated.

• Journal of KIISE:Databases
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• v.31 no.2
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• pp.140-149
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• 2004

Data broadcast has received much attention as a very efficient method for disseminating data items in mobile environment with large number of mobile clients. In this approach, a database server periodically and continuously broadcasts data items through wireless channels and clients perform read-only transactions by accessing necessary data items from the air. While broadcasting, the server must also process update transactions on the database, which raises an obstacle for client's accessing consistent data. In this research, we propose a new algorithm SCDSC(Serialization Checking with DirtySet on Commit) which is an alternative for solving the concurrency control problem efficiently. The SCDSC is a kind of optimistic concurrency control in that a client checks the consistency of data using a DirtySet as a part of data broadcast when it commits its transaction. In each broadcast cycle, the server updates and disseminates the DirtySet with newly changed data items for last few cycles in the sliding window approach. We perform an analysis and a simulation study to evaluate the performance of our SCDSC algorithm in terms of data consistency and data currency.

• Journal of Science and Technology Studies
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• v.8 no.1
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• pp.55-95
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• 2008

This research was performed with the aim of analyzing the 'expectation dynamics' of embryonic stem cell research which was revealed throughout the establishment process of Stem Cell Research Center from 2000 to 2002. Expectation dynamics is a chained process: expectation construction - raising fund - performing research. Normally, researchers are considerably circumspect and politically neutral in assessing the result of research. However, some researchers are very involved in building the expectation dynamics by developing an overestimated impact of the result, which can be understood as a kind of strategy for solving the financial problem and defending the criticism in terms of bioethics. Nowadays Biotechnology R&D costs a big budget and requires large site human resources, so building the expectation dynamics is a decisive element for a successful R&D performance, which makes the strategy-development in the political context much more important. By analyzing the actors-network of embryonic stem cell research in term of 'expectation dynamics', we can clarify the identify of embryonic stem cell researchers and draw a conclusion which is very helpful for decision makers and the public to make a decision related with embryonic stem cells.