• Journal of Korean language education
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• v.28 no.4
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• pp.1-38
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• 2017

This longitudinal study analyzed syntactic development (Complexity, Accuracy, and Fluency; CAF) of six L2 Korean learners in a natural learning context. The learners recalled the stories of a short animated video through speaking and writing every 3 months, from month 0 to 15. The learners' responses were analyzed for a series of CAF measures and their cognitive, psychological, and social variables were investigated. The results showed that (i) L2 Korean learners' speaking and writing in various time periods showed significant differences in spoken and written accuracy, and complexity; (ii) the correlation between spoken and written complexity, spoken and written accuracy, as well as spoken and written fluency were significant, and (iii) the regression analysis showed that learners' cognitive, social, and psychological variables have significant effect on the L2 Korean syntactic development. The current study reports that L2 Korean learners engaged in self-learning in a natural learning environment without formal instruction made significant syntactic development.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.1981-1995
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• 2021

When a person tries to conceal emotions, real emotions will manifest themselves in the form of micro-expressions. Research on facial micro-expression recognition is still extremely challenging in the field of pattern recognition. This is because it is difficult to implement the best feature extraction method to cope with micro-expressions with small changes and short duration. Most methods are based on hand-crafted features to extract subtle facial movements. In this study, we introduce a method that incorporates optical flow and deep learning. First, we take out the onset frame and the apex frame from each video sequence. Then, the motion features between these two frames are extracted using the optical flow method. Finally, the features are inputted into an improved MobileNetV2 model, where SVM is applied to classify expressions. In order to evaluate the effectiveness of the method, we conduct experiments on the public spontaneous micro-expression database CASME II. Under the condition of applying the leave-one-subject-out cross-validation method, the recognition accuracy rate reaches 53.01%, and the F-score reaches 0.5231. The results show that the proposed method can significantly improve the micro-expression recognition performance.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.229-237
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• 2021

Our modern 'information-hungry' age demands delivery of information at unprecedented fast rates. Timely delivery of noteworthy information about recent events can help people from different segments of life in number of ways. As world has become global village, the flow of news in terms of volume and speed demands involvement of machines to help humans to handle the enormous data. News are presented to public in forms of video, audio, image and text. News text available on internet is a source of knowledge for billions of internet users. Urdu language is spoken and understood by millions of people from Indian subcontinent. Availability of online Urdu news enable this branch of humanity to improve their understandings of the world and make their decisions. This paper uses available online Urdu news data to train machines to automatically categorize provided news. Various machine learning algorithms were used on news headline for training purpose and the results demonstrate that Bernoulli Naïve Bayes (Bernoulli NB) and Multinomial Naïve Bayes (Multinomial NB) algorithm outperformed other algorithms in terms of all performance parameters. The maximum level of accuracy achieved for the dataset was 94.278% by multinomial NB classifier followed by Bernoulli NB classifier with accuracy of 94.274% when Urdu stop words were removed from dataset. The results suggest that short text of headlines of news can be used as an input for text categorization process.

• Journal of Auto-vehicle Safety Association
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• v.14 no.3
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• pp.60-64
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• 2022

In the automotive industry, the development of automobiles to meet safety requirements is becoming increasingly complex. This is because quality evaluation agencies in each country are continually strengthening new safety standards for vehicles. Among these various requirements, collision safety must be satisfied by controlling airbags, seat belts, etc., and can be defined as post-crash safety. Apart from this safety system, the Advanced Driver Assistance Systems (ADAS) use advanced detection sensors, GPS, communication, and video equipment to detect the hazard and notify driver before the collision. However, research to improve passenger safety in case of an accident by using the sensor of active safety represented by ADAS in the existing passive safety is limited to the level that utilizes the sudden braking level of the FCA (Forward Collision-avoidance Assist) system. Therefore, this study aims to develop logic that can improve passenger protection in case of an accident by using ADAS information and driving information secured before a collision. The proposed logic was constructed based on LSTM deep learning techniques and trained using crash test data.

• Journal of Arbitration Studies
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• v.32 no.2
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• pp.115-133
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• 2022

This article examines the Practical Suggestions for Promoting of Virtual Hearings in International Arbitration. COVID-19 had an prompt and meaningful impact on the practice of international arbitration. Nevertheless arbitral institutions, arbitral tribunals, and other participants learned quickly how to deal with this new challenge. The use of virtual or online hearings has been gaining popularity during the COVID-19 pandemic. Either with the help of arbitral institutions or by themselves, the parties realized that the only way to safeguard a hearing at all was to run it virtually. In fact, hearings by video conference or other technical means seemed to be the magic solution. One of the leading arbitration institutions, i.e. the International Chamber of Commerce in Paris has amended its Arbitration Rules to accept the subjects of recent international arbitration practice. Other arbitral institutions have similarly amended their respective rules. Many recent and adaptable institutional arbitration rules, either expressly or implicitly, allow for hearings to be conducted remotely. The trend has already been set by the leading institutions as ICC, LCIA, ICSID, SCC SIAC, and many more will follow. In short, enthusiasts of virtual hearings even believe that virtual hearings are "the new normal".

• Journal of Advanced Information Technology and Convergence
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• v.10 no.1
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• pp.15-23
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• 2020

In this paper, we propose a new method to detect traffic accidents in video from vehicle-mounted cameras (vehicle black box). We use the distance between vehicles to determine whether an accident has occurred. To calculate the position of each vehicle, we use object detection and tracking method. By the way, in a crowded road environment, it is so difficult to decide an accident has occurred because of parked vehicles at the edge of the road. It is not easy to discriminate against accidents from non-accidents because a moving vehicle and a stopped vehicle are mixed on a regular downtown road. In this paper, we try to increase the accuracy of the vehicle accident detection by using not only the motion of the surrounding vehicle but also ego-motion as the input of the Recurrent Neural Network (RNN). We improved the accuracy of accident detection compared to the previous method.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.2
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• pp.138-147
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• 2023

Purpose: This study aimed to identify the concrete educational needs of visiting nurses working in a community health setting in Korea. Methods: We conducted four focus group interviews from October 7 to October 18, 2021. Twenty-five visiting nurses who worked in public health centers were recruited through purposive sampling. A qualitative content analysis was used to analyze the interview data. Results: The demands of educational contents for visiting nurse safety management practical training were: (1) coping with physical and verbal violence, (2) coping with sexual violence, (3) infection control for infectious diseases with a high prevalence in the community, and (4) preventing and coping with animal bites during home visits. In addition, visiting nurses suggested training programs that comprised: (1) case-based learning, (2) short video clips, and (3) recurrent integrated education. Conclusion: Safety management training programs for visiting nurses should be implemented to the extent that they add no burden on their workload and are easily accessible at any time. In addition, training programs should be based on actual cases and be focused on contents that can be applied in home visit situations. A practical safety management training program should be developed based on the educational needs of visiting nurses, as identified through this study.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.43 no.9 s.351
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• pp.32-39
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• 2006

5.8GHz DSRC(Dedicated Short Range Communications) is a short to medium range communications service that supports both public safety and private operations in roadside to vehicle and vehicle communication. However the 5.8GHz frequency may cause the shadowing effect or communication blocking problem when there is an obstacle or another vehicle between RSE (Road Side Equipment) and OBE (On Board Equipment). In this paper, to solve this problem of the 5.8GHz DSRC, we propose a relay protocol based on the standard of DSRC radio communication between RSE and OBE in the 5.8GHz band made by TTA (Telecommunication Technology Association). By using the proposed relay protocol to DSRC system and intervehicle communication, we also consider a fixed relay protocol and mobile relay protocol. We expect to apply this relay protocol for the DSRC intervehicle communication and video communication between drivers and safe distance among vehicles in the near future.

• The Journal of Information Technology
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• v.7 no.2
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• pp.93-104
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• 2004

Sports scene is characterized by large amount of global motion due to pan and zoom of camera motion, and includes many small objects moving independently. Some short period of sports games is thrilling to televiewers, and important to producers. At the same time that kinds of scenes exhibit exceptionally dynamic motions and it is very difficult to analyze the motions with conventional algorithms. In this thesis, several algorithms are proposed for global motion analysis on these dynamic scenes. It is shown that proposed algorithms worked well for motion compensation and panorama synthesis. When cascading the inter frame motions, accumulated errors are unavoidable. In order to minimize these errors, interpolation method of motion vectors is introduced. Affined transform or perspective projection transform is regarded as a square matrix, which can be factorized into small amount of motion vectors. To solve factorization problem, we preposed the adaptation of Newton Raphson method into vector and matrix form, which is also computationally efficient. Combining multi frame motion estimation and the corresponding interpolation in hierarchical manner enhancement algorithm of motion parameters is proposed, which is suitable for motion compensation and panorama synthesis. The proposed algorithms are suitable for special effect rendering for broadcast system, video indexing, tracking in complex scenes, and other fields requiring global motion estimation.

• Journal of Chest Surgery
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• v.51 no.4
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• pp.260-265
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• 2018

Background: A method of wound closure using knotless suture material in the chest tube site has been introduced at our center, and is now widely used as the primary method of closing chest tube wounds in video-assisted thoracic surgery (VATS) because it provides cosmetic benefits and causes less pain. Methods: We included 109 patients who underwent VATS pulmonary resection at Samsung Medical Center from October 1 to October 31, 2016. Eighty-five patients underwent VATS pulmonary resection with chest drain wound closure utilizing knotless suture material, and 24 patients underwent VATS pulmonary resection with chest drain wound closure by the conventional method. Complications related to the chest drain wound were compared between the 2 groups. Results: There were 2 cases of pneumothorax after chest tube removal in both groups (8.3% in the conventional group, 2.3% in the knotless suture group; p=0.172) and there was 1 case of wound discharge due to wound dehiscence in the knotless suture group (0% in the conventional group, 1.2% in the knotless suture group; p=0.453). There was no reported case of chest tube dislodgement in either group. The complication rates were non-significantly different between the 2 groups. Conclusion: The results for the complication rates of this new chest drain wound closure method suggest that this method is not inferior to the conventional method. Chest drain wound closure using knotless suture material is feasible based on the short-term results of the complication rate.