• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.59-68
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• 2021

As artificial intelligence(AI) technologies, which have made rapid growth recently, began to be applied to the marine environment such as ships, there have been active researches on the application of CNN-based models specialized for digital videos. In E-Navigation service, which is combined with various technologies to detect floating objects of clash risk to reduce human errors and prevent fires inside ships, real-time processing is of huge importance. More functions added, however, mean a need for high-performance processes, which raises prices and poses a cost burden on shipowners. This study thus set out to propose a method capable of processing information at a high rate while maintaining the accuracy by applying Quantization techniques of a deep learning model. First, videos were pre-processed fit for the detection of floating matters in the sea to ensure the efficient transmission of video data to the deep learning entry. Secondly, the quantization technique, one of lightweight techniques for a deep learning model, was applied to reduce the usage rate of memory and increase the processing speed. Finally, the proposed deep learning model to which video pre-processing and quantization were applied was applied to various embedded boards to measure its accuracy and processing speed and test its performance. The proposed method was able to reduce the usage of memory capacity four times and improve the processing speed about four to five times while maintaining the old accuracy of recognition.

• Journal of IKEEE
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• v.23 no.2
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• pp.438-447
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• 2019

As the IoT-based hyper-connected society grows, public-key cryptosystem such as RSA is frequently used for encryption, authentication, and digital signature. Public-key cryptosystem use very large (safe) prime numbers to ensure security against malicious attacks. Even though the performance of the device has greatly improved, the generation of a large (safe)prime is time-consuming or memory-intensive. In this paper, we propose ET-MR and ET-MR-MR using Euler sieve so it runs faster while using less memory. We present a running time prediction model by probabilistic analysis and compare time and memory of our method with conventional methods. Experimental results show that the difference between the expected running time and the measured running time is less than 4%. In addition, the fastest running time of ET-MR is 36% faster than that of TD-MR, 8.5% faster than that of DT-MR and the fastest running time of ET-MR-MR is 65.3% faster than that of TD-MR-MR and similar to that of DT-MR-MR. When k=12,381, the memory usage of ET-MR is 2.7 times more than that of DT-MR but 98.5% less than that of TD-MR and when k=65,536, the memory usage of ET-MR-MR is 98.48% less than that of TD-MR-MR and 92.8% less than that of DT-MR-MR.

• Therapeutic Science for Rehabilitation
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• v.10 no.2
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• pp.37-51
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• 2021

Objective : The purpose of this study was to analyze non-invasive treatments and drooling assessment methods in children with cerebral palsy and developmental disabilities, who drool. Methods : This study searched two hundred papers published in 2005-2019. Forty-four papers were selected based on their abstract and title, and ten papers were finally selected following a secondary search. Results : The PEDro Scale of the selected papers was high with an average of seven points. As a result of analyzing the overall trends, the study participants were primarily patients with cerebral palsy, and recently, the therapeutic intervention of oral sensory exercise was more actively studied than behavioral modification. Studies of behavioral modification and oral sensory exercise intervention methods were found to have differences in participant age and, cognitive level, number of participants, research design, treatment time, and duration. Studies to confirming the frequency and severity of the drooling measurement method were found to be the main factor. Conclusion : This study analyzed typical behavioral modification and oral sensory exercise interventions as examples of non-invasive therapeutic interventions for children with cerebral palsy and developmental disabilities and provided information to help select appropriate therapeutic intervention methods when planning non-invasive therapy using behavioral modification and oral sensory exercise therapy.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.71-77
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• 2021

Screen Golf provides a more realistic interface to users by implementing sophisticated sensors and 3D graphics so that they can play golf in an environment almost identical to the actual golf course, to provide a sense of reality that goes beyond simply enjoying golf indoors. In addition, users who experienced this interface environment showed a tendency to feel the fun of golf more and become more immersed in golf. Therefore, it is most important to provide an effective realistic interface in screen golf. In this study, the meaning of screen golf as a tangible sport and various interface elements embodied in screen golf were summarized. Also the factors that enable users to feel reality and fun of actual golf to make users more immersed in screen golf were identified. For this, interface elements based on sensory elements were arranged in terms of visual, auditory, and tactile sense, and improvement plans and directions for providing effective sensory interfaces for screen golf were suggested through user FGI, targeting regular customers of Golfzone and KakaoVX screen golf, and in-depth interviews with experts. As a result of the analysis, it was confirmed that the course information including the yardage and the play situation-directed graphic are elements that make immersion in the visual aspect. In terms of tactile aspect, the fact that users actually use golf equipment, as well as the sense of existence of a physical interface that embodies various course environments and course setting appeared to be an important factor. In particular, in the auditory aspect, it was confirmed that providing customized services for each user through AI caddy implemented to resemble a actual caddy is the most effective way to immerse users in screen golf with greater fun and realism.

• Therapeutic Science for Rehabilitation
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• v.10 no.3
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• pp.43-56
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• 2021

Objective : The objective of this study was to present the components of frailty by organizing the definitions of frail elderly and analyzing the tools used to screen them. Methods : This study searched for articles at involved frailty screening assessments in the elderly. Databases including CINAHL, Embase, Medline Complete, and PubMed were searched. The search terms were "assess" AND "frailty" AND "screening" AND ("frail elderly" OR "elderly"). Results : A total of 539 articles were identified by the search and 11 articles were selected. Frailty occurs due to the depressed function of multidimensional factors, and a frail elderly person is defined as one at high risk of health degeneration, functional impairment, and occurrence of disability, and having a high level of threat to life. Seven tools were selected from 11 articles. The most frequently used tool was the frailty phenotype, which was used in five articles (45.4%). The identified components of frailty were physical, activity participation, nutrition, psychological, social, overall health, and age. Conclusion : The results confirmed the definition and components of frailty. This study is expected to contribute to the future development of standardized evaluation tools for screening frail elderly individuals and intervention programs for the management of the frail elderly.

• (The)Korea Educational Review
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• v.23 no.1
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• pp.231-260
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• 2017

The Fourth Industrial Revolution foreshadows radical changes in our lives. In the era of the fourth industrial revolution called the digital revolution, individualized learning based on ubiquitous learning is emphasized. The contents of learning will be centered on procedural knowledge rather than narrative knowledge, and fusion education in which boundaries between learning domains are broken down will be achieved. First of all, learners in the fourth industrial revolution era should have critical thinking and problem solving abilities. Metacognition based on self-control and cognitive flexibility is important for effective self-directed and active learning. Creativity-based collaborative activities, social vision skills, and social and emotional skills are also important competencies. Therefore, in order to provide individualized learning contents to learners in the fourth industrial revolution era, they should be transformed into learning paradigm based on personal characteristics such as learners' self-efficacy, interest, curiosity and creativity. In addition to this, evaluation forms should be diversified according to changing teaching and learning methods. In order to cultivate teachers to lead such educational innovation, it is necessary to reconsider the teaching capacity. Teachers should be able to construct creative lessons by skillfully exploiting technology in future learning environments. In addition to this, it should also have the ability to collaborate and cognitive flexibility to converge with other academic disciplines. Along with these discussions, we proposed the need for policy intervention along with changes in education.

• Korean Journal of Remote Sensing
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• v.36 no.6_2
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• pp.1615-1627
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• 2020

The purpose of this study is to compare and analyze the performance of KOMPSAT-3 Digital Surface Model (DSM) made in overseas testbed area. To that end, we collected the KOMPSAT-3 in-track stereo image taken in San Francisco, the U.S. The stereo geometry elements (B/H, converse angle, etc.) of the stereo image taken were all found to be in the stable range. By applying precise sensor modeling using Ground Control Point (GCP) and DSM automatic generation technique, DSM with 1 m resolution was produced. Reference materials for evaluation and calibration are ground points with accuracy within 0.01 m from Compass Data Inc., 1 m resolution Elevation 1-DSM produced by Airbus. The precision sensor modeling accuracy of KOMPSAT-3 was within 0.5 m (RMSE) in horizontal and vertical directions. When the difference map was written between the generated DSM and the reference DSM, the mean and standard deviation were 0.61 m and 5.25 m respectively, but in some areas, they showed a large difference of more than 100 m. These areas appeared mainly in closed areas where high-rise buildings were concentrated. If KOMPSAT-3 tri-stereo images are used and various post-processing techniques are developed, it will be possible to produce DSM with more improved quality.

• Therapeutic Science for Rehabilitation
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• v.10 no.3
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• pp.57-69
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• 2021

Objective : The purpose of this study was to identify occupational therapy guidelines for patients with stroke according to the clinical guidelines, and to investigate the quality and characteristics of the identified guidelines. Methods : This involved a review of domestic and foreign rehabilitation treatment guidelines from 2008 to 2019. These guidelines were searched using, the search terms: 'stroke', 'guideline', 'practice guideline', 'recommendation', 'protocol compliance', 'practice guideline', and 'stroke guidelines'. Results : A total of 708 papers were identified from the search. Eight guidelines met the selection criteria and were included in this review. The selected guidelines were developed in Canada, Australia, the United States, the United Kingdom, and Korea. One of the eight guidelines was occupational therapy guidelines, and the other seven were rehabilitation guidelines. The guidelines were categorized into a total of 36 topics, including 28 guidelines for stroke rehabilitation in Australia, 24 guidelines for the British and American Heart Association, and 23 guidelines for stroke rehabilitation developed in Korea. Conclusion : In this study, the guidelines for occupational therapy for existing stroke patients were identified, and the quality and characteristics of the guidelines were compared. The results of this study will provide important basic data for the development of occupational therapy guidelines for stroke in the future.

• Korean Journal of Remote Sensing
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• v.38 no.3
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• pp.299-309
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• 2022

Recently, The sea water temperature around Korean Peninsula is steadily increasing. Water temperature changes not only affect the fishing ecosystem, but also are closely related to military operations in the sea. The purpose of this study is to suggest which model is more suitable for the field of water temperature prediction by attempting short-term water temperature prediction through various prediction models based on deep learning technology. The data used for prediction are water temperature data from the East Sea (Goseong, Yangyang, Gangneung, and Yeongdeok) from 2016 to 2020, which were observed through marine observation by the National Fisheries Research Institute. In addition, we use Long Short-Term Memory (LSTM), Bidirectional LSTM, and Gated Recurrent Unit (GRU) techniques that show excellent performance in predicting time series data as models for prediction. While the previous study used only LSTM, in this study, the prediction accuracy of each technique and the performance time were compared by applying various techniques in addition to LSTM. As a result of the study, it was confirmed that Bidirectional LSTM and GRU techniques had the least error between actual and predicted values at all observation points based on 1 hour prediction, and GRU was the fastest in learning time. Through this, it was confirmed that a method using Bidirectional LSTM was required for water temperature prediction to improve accuracy while reducing prediction errors. In areas that require real-time prediction in addition to accuracy, such as anti-submarine operations, it is judged that the method of using the GRU technique will be more appropriate.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.13-21
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• 2022

Globally, the baby boomer generation is economically retired, and the MZ generation is emerging as a new economic force. This study demonstrated the effect of service quality on user satisfaction and customer loyalty for IT services, and checked whether it had a moderating effect on the MZ generation's perception of service quality and its effect on user satisfaction. In addition, we tried to find implications for service satisfaction of the MZ generation. For this purpose, valid responses were obtained from 496 members of companies receiving IT services from Company A. then, a hierarchical regression analysis were performed to verify the hypothesis. As a result of the analysis, the influence relationship between service quality, user satisfaction, and customer loyalty was confirmed, similar to the results of previous studies, and it was confirmed that the negative moderating effect of lower perception of user satisfaction through interaction. Therefore, it can be suggested that there is a need to develop a new digital-based service that can share and sympathize with special experiences, consumption values and beliefs. In the future, if research is conducted on a variety of consumers, it will be possible to more accurately explore the service perception of the MZ generation.