The Journal of the Korea institute of electronic communication sciences
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v.19
no.1
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pp.249-256
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2024
Machine learning-based intrusion detection methodologies require a large amount of uniform learning data for each class to be classified, and have the problem of having to retrain the entire system when adding an attack type to be detected or classified. In this paper, we use feature learning and hierarchical classification methods to solve classification problems and data imbalance problems using relatively little training data, and propose an intrusion detection methodology that makes it easy to add new attack types. The feasibility of the proposed system was verified through experiments using KDD IDS data..
The purpose of this thesis is to address the imbalance between supply and demand of dental lab technicians and to propose its solutions by analyzing the improvement of employment rate of graduates of dental technology schools in Daegu area and the supply and demand of the technician workforce. Preliminary and full-scale surveys were performed from Aug. 10 to Oct. 10 in 2008 on 150 junior students of dental technology schools who finished their on-the-job-training and 150 dental technicians who were working for dental laboratory in Daegu by self-assessment questionnaire. Followings are the findings of this study. First, regarding the gender of the dental technicians, 32.7% of respondents were female 67.3% were male. Concerning age, respondents younger than 29 years-old occupied the highest percentage(39.3%). With respect to the lab technology school they graduated, DaeguHealthCollege took the largest proportion of 87.3%. With regard to interpersonal relationship at the school, 58.0% of respondents felt their relationship 'smooth'. Second, about the motive of choosing to be a lab technician, the biggest proportion of the respondents(34.7%) replied that 'because it is professional'. Regarding the degree of satisfaction about the profession, 'so-so' was the answer with the biggest percentage(51.3%) followed by 'satisfied'(32.0%) and 'unsatisfied'(16.7%). It showed that respondents were generally satisfied with their major. Third, regarding relevance of on-the-job-training with 'preparation for the employment', highest percentage of both students and lab technicians(50.0%) replied 'so-so'. With respect to 'necessity of practical education', highest percentage of the students and lab technicians replied 'relating didactic education in college to the real world' with 52.7% and 40.7% respectively. With regard to 'the aim of on-the-sport-training', 'practical training of didactic education' was chosen by 54.0% and 47.3% respectively. Fourth, with regard to the 'types of college education advantageous for the employment', both students and lab technicians groups chose 'practical training' with the highest percentage. Concerning 'helpfulness of clinical training on employment', students answered 'so-so' and 'helpful' by 50.0% and 42.7% respectively and dental technicians replied similarly by 50.0% and 46.0% respectively. Fifth, with regard to the influence of financial factors on the supply and demand of dental technician(question #1), 68.0% of respondents agreed that 'salary plays key role in the supply and demand of the work force'. Concerning the question about working condition, respondents requested better working environment. With reference to interpersonal relationship at the laboratory, respondents replied that interpersonal relationship affects the duration of the employment it was found out that there were many conflicts with colleagues or dental office. Sixth, regarding the satisfaction about their profession according to the characteristics of the respondents more respondents were 'satisfied'(10.30 points) with their profession and 'unsatisfied' were 9.47 points and the difference was statistically significant(p<0.05). According to the findings of this study, practical education on campus and on-the-job-training are as important as didactic education at class due to the characteristics of dental technology major. It was found that more practical training is related to higher employment rate. Therefore, efficiency of on-the-job-training by college education should be increased raise employment rate of the graduates and reduce the unemployment. Up-to-date information needs to be promptly delivered and future vision should be presented to the students to raise their satisfaction about the profession. In addition, to reduce dental technician's frequent change of their workplace after facing with the reality of the profession after graduation, related organizations should make an effort to present better future than now.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.7
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pp.493-503
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2018
Recently, as living standards have improved, many people are becoming more interested in health, and self-training is increasing through exercise to prevent and manage pre-illness. In general, an imbalance of muscles causes asymmetry of posture, which can cause various diseases by accompanying an adjustment force, circulation action, displacement of internal organs, etc.. In this study, the development of fitness software that can be self - training among smart wears has attracted considerable attention in recent years. In this study, a technology was proposed for the commercialization of self - trainer fitness wear by a simulation through Android - based applications. Self - trainer fitness software was developed by combining a conductive polymer, fashion design, sewing, and electric and electronic technology to monitor the unbalance of the muscles during exercise and make smart wear that can calibrate the asymmetry by oneself. In particular, a polymer sensor was fabricated by deriving the optimal MWCNT concentration, and the electrode signal was collected by attaching the electrode to the optimal position, where the electrode signal line using the conductive fiber was designed and attached to collect the signal. A signal module that converts the bio-signals collected through electrical signal conversion and transmits them using Bluetooth communication was designed and manufactured. Self-trainer fitness software that can be commercialized was developed by combining noise cancellation with Android-based self-training application using a software algorithm method.
The purpose of this study is to evaluate elite high school kayaker's iso-kinetic muscle function and provide physical training advices. Biodex system IV, Biodex stabilizer system, Inbody 3.0 and CNP-5403 are used to investigate 11 kayaker's muscle function(peak torque, average power and work fatigue), dynamic balance, body compositions, and flexibility. S4, S5, S8, S10, S11 are needed to train shoulder muscle strength and power. S5, S6, S10, S11 are needed to strengthen shoulder muscle endurance. S5, S7, S8, S10, S11 are needed to train knee muscle strength and power. S1, S4, S5, S10 are needed to strengthen knee muscle endurance. S3, S10, S11 are needed to train wrist muscle endurance. Based on these results we should establish an muscle function enhancing program with periodic inspection for elite kayakers. And standardized training program should be sublated.
Purpose : This study aims to suggest social support composed of organizational support and managerial support would be systematically managed to enhance Disaster Operations Management at Seoul Emergency Operations Center. Method : Emotional labor was used as an independent variable, and organizational commitment was used as a dependent variable to analyze the mediating effects of social support. Results : First, in the aspect of organizational support, the objective evaluation of disaster situation management, disaster situation management emotional labor reduction education and training program development, monitoring of disaster situation management, quality improvement and work imbalance mitigation of firefighters, and emergency coordination managers are needed for systematic work management for emotional labor settlement. Secondly, it is necessary to select competent firefighters in the level of managerial support, to prepare healing measures for structured phased emotional labor for firefighters, and to have counseling competency for managers for emotional labor firefighting officers. Conclusion : In order to improve disaster management ability, education and training programs should be developed to improve organizational commitment based on social support.
Journal of the Korea Academia-Industrial cooperation Society
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v.14
no.1
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pp.229-238
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2013
The aim of this study is to evaluate university canadian paddlers' iso-kinetic muscle function and provide training advices. Eight university paddlers with a 8.5 years career participated in this study. Inbody 720, biodex system III, biodex stabilizer system and THP 2 are used to investigate body component, muscle function(peak torque, average power and work fatigue), agility and dynamic balance. Iso-kinetic muscle function around shoulder, thorax and knee are measured. And then bilateral and unilateral muscle imbalance are calculated at each joint. Results of this study are as follows; University canadian paddlers' BMI average is 24.90 $kg/m^2$ and percent body fat is 12.23%. Reaction time average was 324 msec and balance score at each leg are below 2.0. A3, A4, A5, A6, A8 are needed to train shoulder muscle strength and power. A1, A2, A7, A8 are needed to strengthen shoulder muscle endurance. A2, A5, A8 are needed to train thorax muscle strength and power. A1, A8 are needed to strengthen thorax muscle endurance. Most of paddlers' reciprocal muscle balance ratio on thorax and knee are out of normal range. A2, A3, A4, A8 are needed to train abdominal strength and A3, A5, A6, A7, A8 are needed to train hamstring strength.
Monitoring nuclear activity for inaccessible areas using remote sensing technology is essential for nuclear non-proliferation. In recent years, deep learning has been actively used to detect nuclear-activity-related small objects. However, high-resolution satellite imagery containing small objects can result in class imbalance. As a result, there is a performance degradation problem in detecting small objects. Therefore, this study aims to improve detection accuracy by analyzing the effect of the ratio of small objects related to nuclear activity in the input data for the performance of the deep learning model. To this end, six case datasets with different ratios of small object pixels were generated and a U-Net model was trained for each case. Following that, each trained model was evaluated quantitatively and qualitatively using a test dataset containing various types of small object classes. The results of this study confirm that when the ratio of object pixels in the input image is adjusted, small objects related to nuclear activity can be detected efficiently. This study suggests that the performance of deep learning can be improved by adjusting the object pixel ratio of input data in the training dataset.
A study on the seamen's demand - supply has been focused on early 1990s, and never studied yet since 2007. Because previous studies related to the seamen are very different in conditions the environments around the fishery recently. It is serious problem that the number of domestic semen are decreasing continually. To depend on foreign seamen because of lacking of domestic seamen should be linked closely with the fishing industry environment in our country. Therefore, this study is limited to domestic seamen. Lacking recent domestic seamen, it is the most likely to rise imbalance between demand - supply in the future. Through medium and long term its analysis based on data, we are willing to discover various political subjects for seamen's welfare, the training of manpower, education, etc. To solve these issues, it can be made institutional changes as follows ; First, it is necessary policy-making related the deteriorating employment situation based on its analysis of medium and long term for seamen. Second, it is necessary to overcome a dual system for its management for seamen. Third, it is necessary to improve problems of statistics data for fishery and build a statistical system for seamen. Also, it will be improved a insurance system under 5 ton and strengthen the function for Korean seamen welfare and employment center and must be urgently countermeasures for the minimal unemployment rate through a content development and management of home page. Finally, it will be supplied reliably seamen to improve a practice system for apprentices according to the international regulations(STCW-F) for fishery students.
The Journal of Korea Assosiation for Disability and Oral Health
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v.10
no.1
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pp.43-46
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2014
Cerebral Palsy is a genetic term referring to abnormalities of motor control caused by damage to a child's brain early in the course of development. Due to the impairment of balanced perioral muscle development, the prevalence of malocclusions in patients with cerebral palsy such as maxillary protrusion is high. But most clinicians may feel uncomfortable to treatment of these problems. Here a case report about mitigation of maxillary anterior teeth protruded in patient with cerebral palsy. 8y 4m old boy who have cerebral palsy visited our dental hospital. He showed severely protrusive maxillary anterior teeth with mouth breathing and could not close his mouth. He and his mother wanted to improve dental and facial esthetic problem. Specially designed or modified intraoral fixed appliance and rubber elastic chain was used in the therapy. Treatment carried out for 8 months and we could observe maxillary incisor angle was improved and mouth breathing habit was stopped. In conclusion, modified fixed appliance therapy for the patients with cerebral palsy might be useful. Continuous rehabilitation training of lips should be followed after treatment to correct imbalance of muscle tone.
Kim, Seon-Wu;Yu, Seok Jong;Lee, Min-Ho;Choi, Sung-Pil
Journal of the Korean Society for Library and Information Science
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v.51
no.4
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pp.77-97
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2017
A recent sharp increase of the biomedical literature causes researchers to struggle to grasp the current research trends and conduct creative studies based on the previous results. In order to alleviate their difficulties in keeping up with the latest scholarly trends, numerous attempts have been made to develop specialized analytic services that can provide direct, intuitive and formalized scholarly information by using various text mining technologies such as information extraction and event detection. This paper introduces and evaluates total 8 Convolutional Neural Network (CNN) models for extracting biomedical events from academic abstracts by applying various feature utilization approaches. Also, this paper conducts performance comparison evaluation for the proposed models. As a result of the comparison, we confirmed that the Entity-Type-Fully-Connected model, one of the introduced models in the paper, showed the most promising performance (72.09% in F-score) in the event classification task while it achieved a relatively low but comparable result (21.81%) in the entire event extraction process due to the imbalance problem of the training collections and event identify model's low performance.
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