• Journal of Labour Economics
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• v.37 no.4
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• pp.59-88
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• 2014

I estimate the non-market effects of implementing five-day workweek controlling for the individual-job fixed effect. I find that the implementation of five-day workweek has improved an individual's subjective health status, increased the frequency of exercises, increased the probability to get education or training other than job training, improved subjective quality of life, increased spending for leisure and cultural activities, and improved an individual's satisfaction with the job and the employer. Much of the effects are due to reduction not of working hours but of working days.

• The KIPS Transactions:PartB
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• v.14B no.7
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• pp.523-530
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• 2007

This paper proposes a new stochastic optimization algorithm for hidden Markov models (HMMs) used as a recognizer of automatic lipreading. The proposed method combines a global stochastic optimization method, the simulated annealing technique, and the local optimization method, which produces fast convergence and good solution quality. We mathematically show that the proposed algorithm converges to the global optimum. Experimental results show that training HMMs by the method yields better lipreading performance compared to the conventional training methods based on local optimization.

• English Language & Literature Teaching
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• v.15 no.3
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• pp.199-222
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• 2009

As great attention is given to a high quality of English education in Korea, more and more in-service and pre-service English teachers are looking for an opportunity to study in an English speaking country to become better qualified teachers. However, after receiving a degree in an English speaking country, many teachers fail to apply what they have learned to their own teaching due to their tensions of identity, beliefs, knowledge, and professionalism within the changes of sociocultural settings. By using sociocultural theory as a theoretical framework, this paper explores how formal training and Ph.D. studies in the U.S. have influenced a Korean teacher educator in applying theory to practice in relation to her identity, beliefs, knowledge, and professionalism during 30 years of her teaching experience. Rather than facing tensions, the teacher educator has been willing to change her roles, broaden and deepen her beliefs in teaching and knowledge about theory of teaching and learning, and continue her professional development. Limitations and implications of the study are provided.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.5
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• pp.400-405
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• 2001

This paper addresses an effective approach of training neural networks classifiers for credit card fraud detection. The proposed approach uses evolutionary programming to trails the neural networks classifiers based on maximization of the detection rate of fraudulent usages on some ranges of the rejection rate, loot minimization of mean square error(MSE) that Is a common criterion for neural networks learning. This approach enables us to get classifier of satisfactory performance and to offer a directive method of handling various conditions and performance measures that are required for real fraud detection applications in the classifier training step. The experimental results on "real"credit card transaction data indicate that the proposed classifiers produces classifiers of high quality in terms of a relative profit as well as detection rate and efficiency.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.5 no.2
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• pp.225-236
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• 1998

The literature review about bladder management method given to maintain and improve health of neurogenic bladder patients was done. Because the study of neurogenic bladder patients in nursing field is not enough, I tried to find report the study tendency through literature review, 1. There are five types of neurogenic bladder such as uninhibited neurogenic bladder, reflex neurogenic bladder, autonomous neurogenic bladder, sensory paralytic neurogenic bladder, and motor paralytic neurogenic bladder. 2. The accurate assessment of neurogenic bladder is done mainly through urodynamics and especially cystometrogram and urethrogram are used. 3. As the study of therapeutic management, the effect of Desmopressin, bladder auto-augmentation, incision of external urethral sphincter muscle, subarachnoid block and pudendal never block using phenol was studied. 4. For the study of general management, the effect of bladder training progam, intermittent catheterization and infection control has been studied but there has not been any obvious study in nursing field. Reviewed the study condition, it is necessary to develope bladder training program in order to increase life quality of neurogenic bladder patients.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.27 no.5
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• pp.553-560
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• 2003

On-site diagnosis of chiller performance is an essential step fur energy saving business. The main purpose of the on-site diagnosis is to predict the COP of a target chiller. Many models based on thermodynamics background have been proposed for this purpose. However, they have to be modified from chiller to chiller and require deep insight into thermodynamics that most of field engineers are often lacking in. This study focuses on developing an easy-to-use diagnostic technique that is based on adaptive neuro-fuzzy inference system (ANFIS). Quality of the training data for ANFIS, sampled over June through September, is assessed by checking COP prediction errors. The architecture of the ANFIS, its error bounds, and collection of training data are described in detail.

• Proceedings of the KSME Conference
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• 2001.11b
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• pp.89-95
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• 2001

On-site diagnosis of chiller performance is an essential step for energy saving business. The main purpose of the on-site diagnosis is to predict the COP of a target chiller. Many models based on thermodynamics background have been proposed for the purpose. However, they have to be modified from chiller to chiller and require deep insight into thermodynamics that most of field engineers are often lacking in. This study focuses on developing an easy-to-use diagnostic technique that is based on adaptive neuro-fuzzy inference system (ANFIS). Quality of the training data for ANFIS, sampled over June through September, is assessed by checking COP prediction errors. The architecture of the ANFIS, its error bounds, and collection of training data are described in detail.

• Advances in concrete construction
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• v.5 no.2
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• pp.87-99
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• 2017

After passing through a magnetic field, the physical quality of water improves, and magnetic water (MW) is produced. There are many investigations on the effects of magnetic field on water that shows MW properties like saturation and memory effect. This study investigates the fresh and hardened properties of concrete mixed with MW, which contains silica fume (SF) and superplasticizer (SP). The test variables included the magnetic field intensity for producing MW (three kinds of water), SF content replaced cement (0 and 10 percent), water-to-cementitious materials ratio (W/CM=0.25, 0.35 and 0.45) and curing time (7, 28 and 90 days). The results of this study show that MW had a positive impact on the workability and compressive strength of concrete. By rising the intensity of the magnetic field which was used for producing MW, its positive influence on both workability and compressive strength improved. MW had greater positive impacts on samples containing SP that did not have SF. Moreover, the best compressive strength improvements of concrete achieved as W/CM ratio decreased.

• Journal of the Korean Home Economics Association
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• v.48 no.5
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• pp.129-143
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• 2010

In order to improve the quality of student teachers' practicum, this study analysed the current situation of student teachers' field practice in child care centers. The study also assessed the practicum implementation case of H Cyber University. First, this research examined the characteristics of practicum implementation in universities. Second, a variety of strategies based on a blended model, on/off-line lectures, professor-student interaction, university-daycare centers collaboration, e-mentoring, and student teachers' portfolios that reduce the problems of student teachers' training, were explored. Finally, the practicum implementation case that adopted these factors was assessed. The results from this case study implied that student teachers' practicums based on a blended model can be an alternative method for problem-solving in existing student teachers' training in universities.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.254-257
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• 2009

In this paper, we propose a learning-based super-resolution algorithm. In the proposed algorithm, a multi-resolution wavelet approach is adopted to perform the synthesis of local high-frequency features. To obtain a high-resolution image, wavelet coefficients of two dominant LH- and HL-bands are estimated based on wavelet frames. In order to prepare more efficient training sets, the proposed algorithm utilizes the LH-band and transposed HL-band. The training sets are then used for the estimation of wavelet coefficients for both LH- and HL-bands. Using the estimated high frequency bands, a high resolution image is reconstructed via the wavelet transform. Experimental results demonstrate that the proposed scheme can synthesize high-quality images.