• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.6
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• pp.609-614
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• 2014

Cerebellar ataxia is a steadily progressive neurodegenerative disease associated with loss of motor control, leaving patients unable to walk, talk, or perform activities of daily living. Direct motor instruction in cerebella ataxia patients has limited effectiveness, presumably because an inappropriate closed-loop cerebellar response to the inevitable observed error confounds motor learning mechanisms. Recent studies have validated the age-old technique of employing motor imagery training (mental rehearsal of a movement) to boost motor performance in athletes, much as a champion downhill skier visualizes the course prior to embarking on a run. Could the use of EEG based BCI provide advanced biofeedback to improve motor imagery and provide a "backdoor" to improving motor performance in ataxia patients? In order to determine the feasibility of using EEG-based BCI control in this population, we compare the ability to modulate mu-band power (8-12 Hz) by performing a cued motor imagery task in an ataxia patient and healthy control.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.1
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• pp.121-131
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• 2010

Technological innovation depends on the quality of workers, whose ability is the key component to raise business competitiveness. Our study evaluates how satisfactory is the training of workers at small and medium sized firms, and suggest how to improve upon it. We show the theoretical framework for the relation between customer satisfaction and their behavioral intent on the one side, and factors of training service quality. Our result show: (1) Factors affecting customer satisfaction are, in descending order of importance, expertise, policy, follow-up service, attitude and behavior, and convenience. (2) Contrary to established views on the service quality, satisfaction for training would not be the prerequisite variable for intent to act, in case of training service quality. (3) Satisfaction level for training depends on the type of organization in charge of training (government, university, or private sector.) It also varied among different types of business (L-type, A-type, and J-type.) Small and medium sized firms find it difficult to commit to training education due to lack of money and manpower. The recent expansion of free training service would address part of this problem. On the other hand, the outfit in charge of training could boost service quality by customizing their training program to the type of business they cater to.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2008.03a
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• pp.283-292
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• 2008

The foremost criterion in the design of a Satellite Launch Vehicle(SLV) is its performance capability to boost the designated payload to the desired mission orbit; it starts from focusing on the SLV configuration to achieve the velocity requirements($}\Delta}V$) for the mission. In this paper we review an analytical approach which is suitable enough for preliminary conceptual design and is used previously to optimize stage configurations for Two Stage to Orbit SLV for Low Earth Orbit(LEO) Missions; we have extended this approach to Three Stage to Orbit SLV and compared different propellant options for the mission. The objective is to minimize the Gross Lift off Weight(GLOW). The primary performance figures of merit were the total inert weight of the SLV and the payload weight that the SLV could lift into LEO, given candidate propulsion systems. The optimization is achieved by configuring the $}\Delta}V$ between stages. A comparison of configurations of single-stage and multi-stage SLVs is made for different propellants. Based upon the optimized stage configurations a comparative performance analysis is made between Liquid and Solid fueled SLV. A 3 degree of freedom trajectory-analysis program is modeled in SIMULINK and used to conduct the performance analysis. Furthermore, a cost analysis is performed on our stage optimized SLVs. The cost estimation relationships(CER) used give us a comparison of development and fabrication costs for the Liquid vs. Solid fueled SLV in man years. The pros and cons of the production, operation ability, performance, responsiveness, logistics, price, shelf life, storage etc of both Solid and Liquid fueled SLVs are discussed. The statistics and data are used from existing or historical(real) SLV stages.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.26 no.3
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• pp.24-30
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• 2003

As domestic buildings have been large-scaled, diversified and high-rise, there have been a consistent demand for design, development of construction technology and accident prevention activity as well as quality enhancement. In spite of governmental and related institutions' efforts for reducing national losses which come from numerous accidents, there have been endless small and large accidents on the construction site and thus, it is urgent to conduct empirical researches in this area. Currently safety supervision system in construction industry has enforced harm and danger prevention planning system, however it merely stick to other existing materials. In addition, it is difficult to put it into practice in that it requires bearing too much burden to draw out the planning itself in a case of large construction work. Consequently in this paper we select evaluation criteria by construction progress, classify into several categories, and regard potential danger which often occurs, as a evaluation criterion. Further step is to allow workers or collaborated companies to express their expert opinions or experiences and to encourage quality and process control and autonomous safety control by applying PSM(Process Safety Management) method using AHP(Analytic Hierarchy Process) and to development of PSM evaluation method in the construction. The reason why PSM method should be quantitative and substantial progress is because it contributes Korean constructing companies to enhancing their safety control ability and to taking an equal stance just like developed countries, thereby strengthening their competitive edges. Boost of safety control system by PSM method could make an enormous contribution to preventing construction accidents on the site by establishing and securing an autonomous safety control system.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.188-197
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• 2020

Due to hazardous working environments at complex, unstructured, and dynamic construction sites, workers frequently face potential safety and health risks throughout the construction process. In this regard, addressing safety challenges remains one of the top priorities. Construction workers' ability to identify and assess risks is acquired through training, which is one of the primary key factors to determine their safety and wellbeing in hazardous working environments. As such, safety managers constantly focus on the effectiveness of the training materials provided to the workers. However, the construction workers are considerably at greater risk of injuries and fatalities compared to the workers in other industries. In this regard, further studies are required to build up a body of knowledge on the conventional safety training approaches as well as their evaluation techniques in order to boost up the adoption by the practitioners in a widespread manner. This paper provides a systematic review of the current safety training approaches and the various techniques for measuring their effectiveness. The attributes of the current safety training methods for construction workers and their evaluation techniques are identified and analyzed. Results indicated that: 1) immersive environment-based training methods are effective than the traditional safety training methods; 2) this effectiveness can be empirically supported by evaluation strategies, but the current techniques are subjective, intrusive, and error-prone. This research offers fresh opportunities to investigate the training strategies by objectively monitoring the physiological responses of construction crews. The results of this study can be used by researchers and practitioners to identify and determine optimal safety training programs that could potentially become ubiquitous in the construction industry.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.3
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• pp.531-538
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• 2024

While the importance of the water quality environment is being emphasized, the water quality index for improving the water quality of urban rivers in Gwangju Metropolitan City is an important factor affecting the aquatic ecosystem and requires accurate prediction. In this paper, the XGBoost and LightGBM machine learning algorithms were used to compare the performance of the water quality inspection items of the downstream Pyeongchon Bridge and upstream BanghakBr_Gwangjucheon1 water systems, which are important points of Gwangju Stream, as a result of statistical verification, three water quality indicators, Nitrogen(TN), Nitrate(NO3), and Ammonia amount(NH3) were predicted, and the performance of the predictive model was evaluated by using RMSE, a regression model evaluation index. As a result of comparing the performance after cross-validation by implementing individual models for each water system, the XGBoost model showed excellent predictive ability.

• School Mathematics
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• v.14 no.1
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• pp.85-107
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• 2012

Problem solving is important in school mathematics as the means and end of mathematics education. In elementary school, inductive reasoning is closely linked to problem solving. The purpose of this study was to examine ways of improving problem solving ability through analysis of inductive reasoning process. After the process of inductive reasoning in problem solving was analyzed, five different stages of inductive reasoning were selected. It's assumed that the flow of inductive reasoning would begin with stage 0 and then go on to the higher stages step by step, and diverse sorts of additional inductive reasoning flow were selected depending on what students would do in case of finding counter examples to a regulation found by them or to their inference. And then a case study was implemented after four elementary school students who were in their sixth grade were selected in order to check the appropriateness of the stages and flows of inductive reasoning selected in this study, and how to teach inductive reasoning and what to teach to improve problem solving ability in terms of questioning and advising, the creation of student-centered class culture and representation were discussed to map out lesson plans. The conclusion of the study and the implications of the conclusion were as follows: First, a change of teacher roles is required in problem-solving education. Teachers should provide students with a wide variety of problem-solving strategies, serve as facilitators of their thinking and give many chances for them ide splore the given problems on their own. And they should be careful entegieto take considerations on the level of each student's understanding, the changes of their thinking during problem-solving process and their response. Second, elementary schools also should provide more intensive education on justification, and one of the best teaching methods will be by taking generic examples. Third, a student-centered classroom should be created to further the class participation of students and encourage them to explore without any restrictions. Fourth, inductive reasoning should be viewed as a crucial means to boost mathematical creativity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.11
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• pp.3340-3353
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• 2009

This paper aims to study the effect of academia-industrial cooperation on the technical innovation of small and medium-sized companies. A survey was conducted on about 1,100 businesses located in the Sihwa-Banwol industrial estate to analyze the consequence of three factors of academia-industrial cooperation. the joint use of equipments, technological support of universities to businesses, and cooperative technological development through technical guidance-on entrepreneurial capability and their knowledge-absorption ability, and ultimately on their technological innovation,. The validity of the survey result was tested through the Structural Equation Model. On the basis of the comparison between companies which have participated in academy-industry cooperation and companies which have not, this paper suggests that venture businesses should take advantage of the cooperation with universities to boost their competitiveness. The analysis of the three individual factors of the academy-industry cooperation based on the Structural Equation Model shows that all of them have remarkable influence on entrepreneurial capability, but that they don't have as much impact on businesses' knowledge absorption ability. However, the outcome of technological innovation of businesses is primarily influenced by entrepreneurial capability rather than their knowledge absorption ability. The survey also shows that the three factors of the cooperation have an equal impact on the competitiveness of companies regardless of their business type or their products' growth stages. As the companies involved in academy industry cooperation outweigh other businesses, in terms of technological innovation, the numbers of new product development, and the numbers of their process improvement cases, this paper argues that new strategies should be taken for the businesses to fully take advantage of academy-industry cooperation.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.511-544
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• 2016

Standards boost technological innovation by promoting information sharing, compatibility, stability and quality. Identifying groups of companies that particularly benefit from these functions of standards in their technological innovation and commercialization helps to customize planning and implementation of standards-related policies for demand groups. For this purpose, this study engages in profiling of SMEs whose R&D objective is to respond to standards as well as those who need to implement standards system for technological commercialization. Then it suggests a prediction model that can distinguish such companies from others. To this end, decision tree analysis is conducted for profiling of characteristics of subject SMEs through data mining. Subject SMEs include (1) those that engage in R&D to respond to standards (Group1) or (2) those in need of product standard or technological certification policies for commercialization purposes (Group 2). Then the study proposes a prediction model that can distinguish Groups 1 and 2 from others based on several variables by adopting discriminant analysis. The practicality of discriminant formula is statistically verified. The study suggests that Group 1 companies are distinguished in variables such as time spent on R&D planning, KoreanStandardIndustryClassification (KSIC) category, number of employees and novelty of technologies. Profiling result of Group 2 companies suggests that they are differentiated in variables such as KSIC category, major clients of the companies, time spent on R&D and ability to test and verify their technologies. The prediction model proposed herein is designed based on the outcomes of profiling and discriminant analysis. Its purpose is to serve in the planning or implementation processes of standards-related policies through providing objective information on companies in need of relevant support and thereby to enhance overall success rate of standards-related projects.

• Journal of dental hygiene science
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• v.10 no.3
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• pp.155-160
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• 2010

The purpose of this study was to develop an inclusive dental hygiene practice model in an effort to stir up the self-directed learning of learners to boost their problem-solving skills and ability of providing inclusive personal oral health care in a systematic and efficient manner. The subjects in this study were 41 dental hygiene students who were in their second year in C college located in South Jeolla Province as of 2009. An inclusive dental hygiene practice was implemented during a 15-week period of time from August 31 to December 7, 2009, and a self-administered survey was conducted before and after that by using the same questionnaires. Whether there were any differences between before and after the application of the inclusive dental hygiene practice model was checked, and there was improvement in all the learning motivation, self-directed learning capabilities and satisfaction level. Concerning the relationship of academic standing to changes in learning motivation, self-directed learning capabilities and satisfaction level, the inclusive dental hygiene practice model brought more favorable changes to the students in the lower tiers. The inclusive dental hygiene model should be applied to not only practical courses but theoretical ones so that learners could make progress both in theory and practice, and evaluation tools geared toward assessing their academic achievement and practical abilities should be developed.