• Convergence Security Journal
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• v.20 no.5
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• pp.11-17
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• 2020

With the increase in cases of using Bluetooth devices used in the electric vehicle charging systems, security issues are also raised. Although various technical efforts have beed made to enhance security of bluetooth technology, various attack methods exist. In this paper, we propose an intelligent Bluetooth intrusion detection system based on a well-known machine learning method, Hidden Markov Model, for the purpose of detecting intelligently representative Bluetooth attack methods. The proposed approach combines packet types of H4, which is bluetooth transport layer protocol, and the transport directions of the packet firstly to represent the behavior of current traffic, and uses the temporal deployment of these combined types as the final input features for detecting attacks in real time as well as accurate detection. We construct the experimental environment for the data acquisition and analysis the performance of the proposed system against obtained data set.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.81-86
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• 2021

The cosmetic industry is technology-intensive in the field of fine chemistry and continues to grow globally. The functional aspects have been mainly emphasized in the past to increase the market share in these cosmetics industries. Recently, however, efforts have been made to attract the attention of consumers to the visual effects as well as the excellent performance of cosmetics at home and abroad. Accordingly, cosmetic manufacturers are trying various technologies that encapsulate the cosmetic emulsion and modify the shape, color, and texture of the emulsion capsule. The basic and easiest method of encapsulating emulsion is dropping the emulsion through the nozzle from emulsion storage. On the other hand, the existing method of encapsulating emulsion has a limit in reducing the size of the capsule. In this study, the limit was shown by theory and numerical analysis method, and the emulsion encapsulation phenomena occurring in the micro-channel were studied to apply microfluidics as an alternative.

• Earthquakes and Structures
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• v.20 no.3
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• pp.325-335
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• 2021

The majority of Turkey's geography is at risk of earthquakes. Within the borders of Turkey, including the two major active faults contain the North-Eastern and Eastern Anatolia, earthquake, threatening the safety of life and property. On January 24, 2020, an earthquake of magnitude 6.8 occurred at 8:55 p.m. local time. According to the data obtained from the stations in the region, peak ground acceleration in the east-west direction was measured as 0.292 g from the 2308 coded station in Sivrice. It is thought that the earthquake with a magnitude of Mw 6.8 was developed on the Sivrice-Puturge segment of the Eastern Anatolian Fault, which is a left lateral strike slip fault, and the tear developed in an area of 50-55 km. Aftershocks ranging from 0.8 to 5.1 Mw occurred following the main shock on the Eastern Anatolian Fault. The earthquake caused severe structural damages in Elazığ and neighboring provinces. As a result of the field investigations carried out in this study, significant damage levels were observed in the buildings since it did not meet the criteria in the earthquake codes. Within the study's scope, the structural damage cases in reinforced concrete and masonry structures were investigated. Many structural deficiencies and mistakes such as non-ductile details, poor concrete quality, short columns, strong beams-weak columns mechanism, large and heavy overhangs, masonry building damages and inadequate reinforcement arrangements were observed. Requirements of seismic codes are discussed and compared with observed earthquake damage.

• Journal of the Korean Applied Science and Technology
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• v.38 no.1
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• pp.208-216
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• 2021

The purpose of this study is to survey the occupational therapists's vocational core competency. Study subjects were 138 occupational therapists and 95 students majored occupational therapy and they participated in the survey about the vocational core ability to confirm the factors about the vocational core ability. As the results of these, both occupational therapists and university students majored occupational therapy felt the need for vocational ability and communication skills, interpersonal relationship skills, and problem-solving skills were found to be important, and that they also possessed them. However, only in the group of students majored occupational therapy showed that technical skills were important, but they did not possess the most. Accordingly, it is necessary to consider a curriculum that can collect knowledge and information on various skills necessary for actual vocational performance as the occupational therapist.

• Journal of the Korea Society for Simulation
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• v.29 no.4
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• pp.65-72
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• 2020

The purpose of this study is to analyze the adequacy of product qualification criteria through Monte-Carlo simulation and association rule analysis. We first surveyed the similar procurement systems, then we simulated the bid situation that randomly generated several vendors participated in a bid, and they obtained the score according to the product qualification criteria's judgement area. Then, the company with the highest score will win the bid, and further analysis was performed in terms of performance indicator and satisfaction ratio. The results of this study can be summarized as follows; Although the items related to the credibility accounted for the largest number items, it did not affect the actual bid results. It was analyzed that it is desirable to increase the allocation points in the area of business status and technical capability review than the current one.

• Journal of Trauma and Injury
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• v.33 no.4
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• pp.219-226
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• 2020

Purpose: Although the Advanced Trauma Life Support (ATLS) course is now taught internationally, it has not been implemented in Korea. In recent years, interest has increased in simulation as a teaching tool in the ATLS course. We therefore hypothesized that simulation training would be a useful adjunct to the ATLS course. Methods: We designed a 1-day curriculum that included skill development workstations, expert lectures, trauma patient simulations, and group discussion for general surgery residents. We conducted a survey to evaluate participants' level of understanding of the initial evaluation and treatment of trauma patients, their degree of knowledge and technical improvement, their satisfaction with the learning goals, and their overall satisfaction with the curriculum. We then analyzed the effects before and after the training. Results: Nine residents attended this course. None of the residents initially reported that they could perform a primary survey of trauma patients. The analysis revealed significant improvements after training in the questionnaire areas of "assembly of the team and preparation for resuscitation of a trauma patient" (p=0.008), "performance of a primary survey for trauma patients" (p=0.007), "resuscitative procedures for trauma patients" (p=0.008), "importance of re-evaluation" (p=0.007), "identifying the pitfalls associated with the initial assessment and management" (p=0.007), and "importance of teamwork" (p=0.007). Conclusions: After the ATLS simulation training, all participants showed significant improvements in their understanding of how to manage multiple trauma patients. Therefore, ATLS simulation training for residents will help in the management of trauma patients.

• Journal of Broadcast Engineering
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• v.27 no.3
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• pp.341-350
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• 2022

In this paper, we propose a deep learning based on-device augmented reality (AR) system in which multiple input images are used to implement the correct occlusion in a real environment. The proposed system is composed of three technical steps; camera pose estimation, depth estimation, and object augmentation. Each step employs various mobile frameworks to optimize the processing on the on-device environment. Firstly, in the camera pose estimation stage, the massive computation involved in feature extraction is parallelized using OpenCL which is the GPU parallelization framework. Next, in depth estimation, monocular and multiple image-based depth image inference is accelerated using the mobile deep learning framework, i.e. TensorFlow Lite. Finally, object augmentation and occlusion handling are performed on the OpenGL ES mobile graphics framework. The proposed augmented reality system is implemented as an application in the Android environment. We evaluate the performance of the proposed system in terms of augmentation accuracy and the processing time in the mobile as well as PC environments.

• Journal of the Korea Safety Management & Science
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• v.23 no.4
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• pp.55-60
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• 2021

This study is to check waterproof by number of twists of fire hose and measure the first waterproof time to analyze the relationship between twists of fire hose and first waterproof time and waterproof by position of twists so as to suggest the efficient plan to prevent twists of fire hose. Ordinary fire hose did not make waterproof in case that position of twists was near the nozzle with twists 5 times or more, while anti-twist fire hose had no problem for waterproof only with delayed time. Like ordinary fire hose, anti-twist fire hose also showed the tendency to increase the waterproof time in proportion to the number of twists. In case that the position of twists was near waterproof port even with 10 times of twists in anti-twist fire hose, the first waterproof time was increase by 0.63 seconds on average without any problem for waterproof, which was somewhat faster than that in ordinary fire hose. With respect to the position of twists, waterproof of anti-twist fire hose was affected more as the number of twists was increased more near the nozzle rather than near the waterproof port, like ordinary fire hose. In summary, anti-twist fire hose equipped with anti-twist tool at the middle connection port and the nozzle showed a good waterproof performance with delayed waterproof time regardless of number of twists, as a solution for the twist problem of ordinary fire hose.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.1-6
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• 2022

This paper presents a regionalized time slotted channel hopping (TSCH) slotframe-based aerial data collection using wake-up radio. The proposed scheme aims to minimize the delay and energy consumption when an unmanned aerial vehicle (UAV) collects data from sensor devices in the large-scale service area. To this end, the proposed scheme divides the service area into multiple regions, and determines the TSCH slotframe length for each region according to the number of cells required by sensor devices in each region. Then, it allocates the cells dedicated for data transmission to the TSCH slotframe using the ID of each sensor device. For energy-efficient data collection, the sensor devices use a wake-up radio. Specifically, the sensor devices use a wake-up radio to activate a network interface only in the cells allocated for beacon reception and data transmission. The simulation results showed that the proposed scheme exhibited better performance in terms of delay and energy consumption compared to the existing scheme.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.101-111
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• 2021

This paper is a study that analyzes the use and techniques of rap in music that entered Melon Chart, one of the major music sites in Korea, during 2020. Among the songs that entered the chart, reflecting the public's preference, the trend of rap music, an important element of hip-hop music, is analyzed and musical features such as representative artists or frequently used rhythm patterns are analyzed. Through this paper, characteristics of rap music favored by the public and artists in recent popular music have been organized and formalized, and based on this, the elements of etude development for technical polishing are summarized. Through this, it is hoped that just like the long-time analyzed and structured performance techniques such as vocals and instruments, various styles of rap music can develop into a systematic and step-by-step technique system for students who want to learn and practice it.