Journal of Advanced Marine Engineering and Technology
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v.39
no.10
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pp.1054-1061
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2015
The International Maritime Organization (IMO) has been regulating emissions by making mandatory the compliance with institutions aimed at protecting air quality such as the Energy Efficiency Design Index (EEDI), Ship Energy Efficiency Management Plan (SEEMP) and Tier III. Under the circumstances, one of the response measures considered to be the most feasible is the replacement of existing marine fuel with Liquefied Natural Gas (LNG). The industry has been preemptively building infrastructure and developing and spreading engine technology to enable the use of LNG-fueled ships. The IMO, in turn, recently adopted the International Code of Safety for Ships Using Gases or Other Low-Flash-Point Fuels (IGF Code) as an institutional measure. Thus, it is required to comply with regulations on safety-related design and systems focused on response against potential risk for LNG-fueled ships, in which low-flash-point fuel is handled in the engine room. Especially, the Standards of Training, Certification and Watchkeeping (STCW) Convention was amended accordingly. It has adopted the qualification and training requirements for seafarers who are to provide service aboard ships subject to the IGF Code exemplified by LNG-fueled ships. The expansion in the use of LNG-fueled ships and relevant facilities in fact is expected to increase demand for talents. Thus, the time is ripe to develop methods to set up appropriate STCW training courses for seafarers who board ships subject to the IGF Code. In this study, the STCW Convention and existing STCW training courses applied to seafarers offering service aboard ships subject to the IGF Code are reviewed. The results were reflected to propose ways to design new STCW training courses needed for ships subject to the IGF Code and to identify and improve insufficiencies of the STCW Convention in relation to the IGF Code.
Journal of the Institute of Electronics Engineers of Korea CI
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v.49
no.2
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pp.53-60
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2012
Nearest-neighbor classification predicts the class of an input data with the most frequent class among the near training data of the input data. Even though nearest-neighbor classification doesn't have a training stage, all of the training data are necessary in a predictive stage and the generalization performance depends on the quality of training data. Therefore, as the training data size increase, a nearest-neighbor classification requires the large amount of memory and the large computation time in prediction. In this paper, we propose a prototype selection algorithm that predicts the class of test data with the new set of prototypes which are near-boundary training data. Based on Tomek links and distance metric, the proposed algorithm selects boundary data and decides whether the selected data is added to the set of prototypes by considering classes and distance relationships. In the experiments, the number of prototypes is much smaller than the size of original training data and we takes advantages of storage reduction and fast prediction in a nearest-neighbor classification.
KIEE International Transactions on Power Engineering
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v.4A
no.4
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pp.171-177
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2004
In the current age of the information oriented society in which we live, many people use PCs and are dependant on the databases provided by the network server. However, online data can be missed during the occurrence of a blackout and furthermore, power failure can greatly effect Power Quality. This has resulted in the trend of using interruption-free live-line work when trouble occurs in a power system. However, 83% of the population receives an electric shock experience when a laborer is performing interruption-free live-line work. In the interruption-free method, education and training problems have been pinpointed. However, there are few instructors to implement the necessary training. Furthermore, the trainees undergo only a short training period of just 4 weeks. In this paper, to develop a method with no restrictions on time and place and to ensure a reduction in the misuse of materials, immersion type virtual reality (or environment) technology is used. The users of a 3D immersion type VR training system can interact with the system by performing the equivalent action in a safe environment. Thus, it can be valuable to apply this training system to such dangerous work as 'Interruption-free live-line work exchanging COS (Cut-Out-Switch)'. In this program, the user carries out work according to instructions displayed through the window and speaker and cannot perform other tasks until each part of the task is completed in the proper sequence. The workers using this system can utilize their hands and viewpoint movement since they are in a real environment but the trainee cannot use all parts and senses of a real body with the current VR technology. Despite these weak points, when we consider the trends of improvement in electrical devices and communication technology, we can say that 3D graphic VR application has high potentiality.
Increasing utilization of radiation and RI (Radioisotope) in nuclear industry including non-power area has achieved sustainable development of radiation industry. Industries are no longer confined by a single technology or abilities but expanded for application gradually. RI-Biomics fields are one of the convergence technology that is recognized on a high-tech industry. Unlike the conventional industry, RI-Biomics field needs to various specialists to perform related task. There is no domestic training program to educate the whole process. This study aims to suggest the plan for improvement of practical skills for specialists in RI-Biomics through development of our training program. For this purpose, we have first investigated the opinion about classification scheme from experts and then analyzed the results in order to reflecting our training program. Based on analyzed results, conformity assessment was executed to organize curriculum through status of constructed device and instructor in domestic. Our training program was performed jointly with KAERI (Korea Atomic Energy Research Institute). RI-Biomics center is prepared with facilities of overall experiment to improve quality of education. Due to the fact that specialists have routine task, we organized a five-day short course to reflect temporal difficulties. We performed a trial operation to 6 participants in RI-Biomics field. Through the survey for the specialists who participated in the program, we evaluated the efficiency of our training program. The results showed that participants were satisfied with the organized curriculum and educational materials. Therefore, our program is expected to be utilized as basic research data to develop feasible program for policy development and to improve practical skills in RI-Biomics.
Purpose: The purpose of this study is to show the effect of elastic band on balance and functional ability in chronic stroke patients living in community. Methods: The subjects who participated in the study were 9 patients with chronic stroke. One of them gave up during the study, finally 8 patients performed. The intervention was conducted once a week for 10 weeks. In this study functional reach test (FRT), timed up and go test (TUG), Tinetti performance oriented mobility assessment (Tinetti-POMA) were measured for balance. The coordination training of arms and legs using the elastic band was performed in three positions as supine, side lying, sitting. One arm performed flexion-adduction- external rotation with elbow flexion pattern and the opposite side(diagonal) leg was performed flexion-adduction-external rotation with knee flexion pattern, the other arm's pattern was extension-abduction-internal rotation with elbow extension and the opposite side (diagonal) leg was in extension-abduction-internal rotation with knee extension pattern. The training was performed in each position for 15 minutes in per position. The participants had a five minute break after each training. Results: The results are as follows. FRT and Tinetti-POMA showed significant increase statistically in each position. The TUG showed significant decrease statistically in each position. Conclusion: Even though the coordination training with elastic band had performed once a week, it showed positive effects on balance in chronic stroke patients. Therefore, if we can suggest the appropriate frequencies of coordination training of arms and legs using the elastic band, it can be a method to improve daily life and life quality to patients with chronic stroke.
In order to create a safe and comfortable educational environment and improve the quality of education, the 'Act on the Safety and Maintenance of Educational Facilities' was enacted in 2021. Accordingly, 'Educational Facility Safety Certification Operation Regulations' was established. Safety certification targets are classified into 'kindergarten', 'elementary/middle/high school and special schools', and 'university and other educational facilities'. Other educational facilities include libraries and student training facilities. However, student training facilities and libraries are different from schools as facilities for special activities such as training and reading. Therefore, the unique characteristics of the facility must be reflected in the 'Educational Facility Safety Certification Operation Regulations'. This study analyzed how the 'Educational Facility Safety Certification Operation Regulation' reflects the special characteristics of student training facilities and libraries that are 'other educational facilities'. The previous certification system and guidelines were compared and analyzed, and the on-site survey method was used. Finally, it was confirmed that each of the library and the student training facility needed 9 detailed criteria reviews.
Objectives: This study aimed to investigate the perceptions regarding oral muscle strength training for elder people among dental professionals. Methods: The study participants were selected using non-probability sampling methods, as dentists and dental hygienists with more than 3 years of work experience at dental institutions. A total of 15 participants were selected, including 6 dentists, 4 clinical dental hygienists, and 5 public dental hygienists. Interviews were conducted in June and July 2022, and two focus group interviews were conducted for each group. The first round was face-to-face and the second round was conducted through an online video conference. Results: Through focus group interviews, five factors were obtained; lack of awareness, value of training, factors necessary for implementation, performance status, and obstructive factors. It was found that most study participants had a negative perception regarding the application of oral muscle strength training for elder people due to the lack of information and education on the subject. However, the benefit of oral muscle strength training was positively recognized; adequate educational material, appropriate compensation, adequate time, and availability of patients will be necessary for proper training. Conclusions: It is necessary to improve the perceptions regarding the importance of strengthening oral muscles for the elder people among dentists and dental hygienists. In addition, high-quality educational material that can be easily comprehended and practiced should be developed for effective training.
Park, Youngjun;Choi, Yun-Young;Moon, Yong-Jae;Park, Eunsu;Lim, Beomdu;Kim, Taeyoung
The Bulletin of The Korean Astronomical Society
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v.44
no.2
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pp.78.1-78.1
/
2019
There are a huge number of faint objects that have not been observed due to the lack of large and deep surveys. In this study, we demonstrate that a deep learning approach can produce a better quality deep image from a single pass imaging so that could be an alternative of conventional image stacking technique or the expensive large and deep surveys. Using data from the Sloan Digital Sky Survey (SDSS) stripe 82 which provide repeatedly scanned imaging data, a training data set is constructed: g-, r-, and i-band images of single pass data as an input and r-band co-added image as a target. Out of 151 SDSS fields that have been repeatedly scanned 34 times, 120 fields were used for training and 31 fields for validation. The size of a frame selected for the training is 1k by 1k pixel scale. To avoid possible problems caused by the small number of training sets, frames are randomly selected within that field each iteration of training. Every 5000 iterations of training, the performance were evaluated with RMSE, peak signal-to-noise ratio which is given on logarithmic scale, structural symmetry index (SSIM) and difference in SSIM. We continued the training until a GAN model with the best performance is found. We apply the best GAN-model to NGC0941 located in SDSS stripe 82. By comparing the radial surface brightness and photometry error of images, we found the possibility that this technique could generate a deep image with statistics close to the stacked image from a single-pass image.
Journal of The Korean Institute of Defense Technology
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v.5
no.3
/
pp.1-7
/
2023
Recently, in the defense field, efforts are being made to collect data by building data centers to incorporate artificial intelligence technology. Weapon system training data can be used as input data for artificial intelligence models and can be used as high-quality data to maximize training performance and develop military strategies. However, training data contains personal information such as the names and military numbers of the personnel who operated the equipment, and training records that reveal the characteristics of the weapon system. If such data is passed on to the enemy, not only the specifications and performance of the weapon system but also the proficiency of each operator may be exposed. In this paper, we propose a pseudonym processing methodology for education and training data security and also suggest a direction for revising related laws.
Background As the demand for cosmetic surgery continues to rise, plastic surgery programs and the training core curriculum have evolved to reflect these changes. This study aims to evaluate the perceived quality of current cosmetic surgery training in terms of case exposure and educational methods. Methods A 16-question survey was sent to graduates who completed their training at a U.S. plastic surgery training program in 2017. The survey assessed graduates' exposure to cosmetic surgery, teaching modalities employed and their overall perceived competence. Case complexity was characterized by the minimum number of cases needed by the graduate to feel confident in performing the procedure. Results There was a 25% response rate. The majority of respondents were residents (83%, n=92) and the remaining were fellows (17%, n=18). Almost three quarters of respondents were satisfied with their cosmetic training. Respondents rated virtual training as the most effective learning modality and observing attendings' patients/cases as least effective. Perceived competence was more closely aligned with core curriculum status than case complexity, i.e. graduates feel more prepared for core cosmetic procedures despite being more technically difficult than non-core procedures. Conclusions Despite the variability in cosmetic exposure during training, most plastic surgery graduates are satisfied with their aesthetic training. Incorporation of teaching modalities, such as virtual training, can increase case exposure and allow trainees more autonomy. The recommended core curriculum is adequately training plastic surgery graduates for common procedures and more specialized procedures should be consigned to aesthetic fellowship training.
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