• Journal of Korean Academy of Fundamentals of Nursing
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• v.23 no.4
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• pp.419-429
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• 2016

Purpose: The purpose of this study was to examine the effects of a intensive clinical training program for nursing practice on the clinical competence, state anxiety, clinical practice stress in nursing students who were beginning their first clinical practice. Methods: This practice has been processed as a 'Pre-Post design with a non-equivalent control group'. The participants were 177 students in a college of nursing. The students were divided into two groups: 89 students in the experimental group and 88 students in the control group. Results: The experimental group showed significant improvement in their clinical competence scores compared to the control group. The difference between the two groups was also significant. State anxiety in the experimental group significantly decreased compared to the control group. However, scores for stress during practice were not significantly different. Conclusion: The findings in this research reveal that the program, 'Close clinical practice training for nursing students' practice entry, contributes to improving students' overall ability and performance, and reduces anxiety of nursing students as they start their first clinical practice. These findings can be utilized in helping nursing students improve the quality of their performance.

• Journal of the Society of Naval Architects of Korea
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• v.55 no.4
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• pp.361-369
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• 2018

The ship surveyor makes a scheme of reasonable ship operation by examining whether the ship has been properly constructed in accordance with the rule of classification societies and international conventions or whether the facilities of the ship in operation meet the standard stipulated by law. Even though the ship surveyors of classification society generally consist of people who have the skill of design or operation of a ship, it takes a long time to train a surveyor to the maturity level. This paper describes the development of survey simulator based on virtual ship environment that enables the surveyor minimize trial and errors to survey the ships. By using VR(Virtual Reality) based survey simulator, surveyors possibly achieve improvement of competence in survey quality by means of safe and immersive training environment. In order to improve the usability and utility of the VR simulator, the ship 3D model has been generated using 3D CAD model for design and production in shipyard. Through this, we suggested the possibility of consistent use of 3D model as the digital twin of a ship.

• Journal of the Korean Society of Physical Medicine
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• v.4 no.3
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• pp.193-200
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• 2009

Purpose：In this study is to verify the effects postural control training based on Bobath approach for body schema and visual perception on Middle Cerebral Artery(MCA) Infarcts. Methods：The subject was a 46 years old man with MCA infaction, lives in B city. An AB design for a single-subject research was used for this study. The procedures consisted of 1 time of baseline phase(A), 20 times of treatment phase(B). We applied the Bobath approach at the subject. Treatments included to facilitate trunk alignment and stability, and to train weight bearing and shifting, to facilitate pelvis movement, and to train walk especially stance phase and assist up-down stairs locomotion in environment similar to actual daily life. Results：With this treatment, the majority of body schema and visual perception and postural control was improved in treatment phase compared with in baseline phase. Therefore, this study supported the effectiveness of postural control training based on Bobath approach for body sechma and visual perception of hemiplegia. Conculusion：This study is integrated postural control training with Bobath approach that are widespread for hemiplegia and measured outcomes based on individualized therapy goals. Consequently the study is suggested the meaning of quality effectiveness of Bobath approach.

• Nuclear Engineering and Technology
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• v.31 no.2
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• pp.192-201
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• 1999

This paper proposes an improved signal processing strategy for accurate feedwater flowrate estimation in nuclear power plants. It is generally known that ∼2% thermal power errors occur due to fouling Phenomena in feedwater flowmeters. In the strategy Proposed, the noises included in feedwater flowrate signal are classified into rapidly varying noises and gradually varying noises according to the characteristics in a frequency domain. The estimation precision is enhanced by introducing a low pass filter with the wavelet analysis against rapidly varying noises, and an autoassociative neural network which takes charge of the correction of only gradually varying noises. The modified multivariate stratification sampling using the concept of time stratification and MAXIMIN criteria is developed to overcome the shortcoming of a general random sampling. In addition the multi-stage robust training method is developed to increase the quality and reliability of training signals. Some validations using the simulated data from a micro-simulator were carried out. In the validation tests, the proposed methodology removed both rapidly varying noises and gradually varying noises respectively in each de-noising step, and 5.54% root mean square errors of initial noisy signals were decreased to 0.674% after de-noising. These results indicate that it is possible to estimate the reactor thermal power more elaborately by adopting this strategy.

• The KIPS Transactions:PartD
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• v.10D no.4
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• pp.689-696
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• 2003

Criticality prediction models that determine whether a design entity is fault-prone or non fault-prone are used for identifying trouble spots of software system in analysis or design phases. Many criticality prediction models for identifying fault-prone modules using complexity metrics have been suggested. But most of them need training data set. Unfortunately very few organizations have their own training data. To solve this problem, this paper builds a new prediction model, KSM, based on Kohonen SOM neural networks. KSM is implemented and compared with a well-known prediction model, BackPropagation neural network Model (BPM), considering internal characteristics, utilization cost and accuracy of prediction. As a result, this paper shows that KSM has comparative performance with BPM.

• Korean Medical Education Review
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• v.17 no.1
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• pp.20-25
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• 2015

In light of changes in today's medical environment, whether to dismantle the 50-year-old internship training system in the Republic of Korea is under debate. Although the question remains open, discussions on such issues have drawn attention to the quality of the clinical clerkship and student career advisory programs in medical colleges. The purpose of this study is to analyze the experiential clerkship and career exploration issues. Ensuring excellence of the clerkship and career advisory sessions is an essential responsibility of educational institutions regardless of whether the intern training system is dismantled. Important objectives of the experimental clerkship include reinforcing prerequisites established by law, introducing a student practice license, developing a standardized clinical assessment and student portfolio requirement, and publishing a guidebook for clinical directors. For career exploration, it is necessary to broaden participants' experiences of specialties and to manage the variety of student career guidance programs. It is imperative for the Korean Association of Medical Colleges, in collaboration with medical colleges, to play a leading role in focusing more attention and effort on such issues.

• Journal of Agricultural Extension & Community Development
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• v.18 no.1
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• pp.153-197
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• 2011

The purpose of this study is to look at the development and status of Danish Agricultural Advisory Service (DAAS) and to find some implications on Korean agricultural and rural extension. Agriculture is main industry contributed to economic growth in Denmark. Main factors of this success would be strong farmers' organizations, commercial co-operatives, farmers' active participation in training and education, and independent advisory service owned and managed by farmers. DAAS has unique developmental history. First service was started by local farmer's organization in 1871. Farmers themselves wanted to start advisory service in order to improve the quality of butter. National center of DAAS was established in 1971 in order to disseminate knowledge to local centers, to develop new activities and computer programs, and to deliver in-service training of local advisors. In 2010, one national center with 550 employees and 32 local centers with 2,900 employes are serving for 48,000 farms. The service covers almost all farmers' needs such as production, finance, tax, buildings, crops, livestock, organic production, environment, legal matter. DAAS Academy tries to offer relevant, just-in-time training activities in order to develop the competences of advisors effectively.

• Speech Sciences
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• v.13 no.1
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• pp.95-105
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• 2006

The primary goal of therapeutic intervention in dysarthric speakers is to increase the speech intelligibility. Decision of critical features to increase the intelligibility is very important in speech therapy. The purpose of this study is to know the effects of pitch increasing training (PIT) on speech of a subject with Parkinson's disease (PD). The PIT program is focused on increasing pitch while a vowel is sustained with the same loudness. The loudness level is somewhat higher than that of the habitual loudness. A 67-year-old female with PD participated in the study. Speech therapy was conducted for 4 sessions (200 minutes) for one week. Before and after the treatment, acoustic, perceptual and speech naturalness evaluation was peformed for data analysis. Speech and voice satisfaction index (SVSI) was obtained after the treatment. Results showed Improvements in voice quality and speech naturalness. In addition, the patient's satisfaction ratings (SVSI) indicated a positive relationship between improved speech production and their (the patient and care-givers) satisfaction.

• Korean Medical Education Review
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• v.20 no.3
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• pp.135-140
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• 2018

In clinical clerkships, residents function as trainees, workers, and teachers for other medical students. Although residents care for patients in harsh environments and encounter precarious patient-safety situations, they are working towards becoming competent specialists. Residency education programs are very important in cultivating specialists able to adapt to the rapidly-changing medical environment, and are also necessary to improve the quality of specialist training. Competent specialists not only need clinical competency, but also a wide range of abilities including professionalism, leadership, effective communication, cooperation, and attention to continuous professional development/continuing medical education activities. Each Korean association of specialties has its own educational goals and standardized education programs to help residents learn specific techniques and competencies related to medical care for patients, though the training environment of each residency is different within each trainee hospital. Although it is also important to evaluate residency education programs, currently there is only an examination of knowledge and assessment of skills based on mini-clinical evaluation exercises or direct observation of procedural skills. In order to develop an objective and estimable evaluation tool that can assess the overall achievement level within each training course, it is necessary to evaluate the knowledge, skills, and attitudes of residents. Residency education programs need further attention and reform.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.20-27
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• 2020

Sound event detection in real-world environments suffers from the interference of non-stationary and time-varying noise. This paper presents an adaptive noise reduction method for sound event detection based on non-negative matrix factorization (NMF). In this paper, we proposed a deep learning model that integrates Convolution Neural Network (CNN) with Non-Negative Matrix Factorization (NMF). To improve the separation quality of the NMF, it includes noise update technique that learns and adapts the characteristics of the current noise in real time. The noise update technique analyzes the sparsity and activity of the noise bias at the present time and decides the update training based on the noise candidate group obtained every frame in the previous noise reduction stage. Noise bias ranks selected as candidates for update training are updated in real time with discrimination NMF training. This NMF was applied to CNN and Hidden Markov Model(HMM) to achieve improvement for performance of sound event detection. Since CNN has a more obvious performance improvement effect, it can be widely used in sound source based CNN algorithm.