• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.471-472
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• 2021

본 논문에서는 안드로이드 스튜디오를 활용하여 스마트폰에서 실시간으로 식당 좌석을 확인하여 예약할 수 있도록 앱 개발을 수행하였다. 개발한 앱에서 제공하는 사용자 전용 APP 기능으로는 회원가입 및 로그인, 가게 정보 확인, 예약 설정이 있다. 또한, 실시간 좌석 정보를 제공하여 사람들이 가게가 만석일 경우 되돌아가는 불편함을 최소화하고, 원하는 시간에 예약을 손쉽게 예약할 수 있도록 하였다. 앱 사용자는 직관적인 인터페이스를 통하여 실시간으로 본인이 원하는 좌석을 예약할 수 있고, 내부적으로 데이터베이스로 회원가입 및 로그인과 식당 정보 저장 과정을 수행하도록 하였다.

• Journal of the Korean Society for Nondestructive Testing
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• v.34 no.5
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• pp.390-396
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• 2014

A study on smart seats for railroad vehicles was conducted using piezoelectric (PZT) sensors. For this purpose, the concept of passenger friendly smart seats was defined, and a PZT sensor was selected as the optimum sensor based on this concept. Using PZT sensors, simulation tests were performed using a sub-scale model railroad vehicle. In these tests, the main functions of the smart seats were extracted and simplified to improve the effectiveness of the simulation tests. Based on the test results, the system for smart seats proposed in this paper was successfully verified using PZT sensors and the dedicated operation software for the system. This paper will contribute to the improvement of services in high-speed rail systems through advances in ticket checking tasks.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.253-260
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• 2020

This study aimed to compare the effects of sit-to-stand training, or training to stand up from sitting positions at various seat heights, on the balance recovery among stroke patients. This study included 20 stroke patients who were randomly divided into two groups. Each group was trained for six weeks, three times a week from March to June 2019. Static balance and dynamic balance were measured, and the variations were analyzed using the paired t-test and the independent t-test. There were significant changes observed in both static and dynamic balance (p<.05) before and after training. However, no significant changes were seen in the static balance in the standing posture with eyes closed (p>.05). This study confirmed that there was a significant effect of training on the balance of stroke patients, especially when progressively lower seat heights were used during the training. This suggests new directions for treatment during rehabilitation for balance recovery of stroke patients. Further studies will need to apply this training to a larger number of subjects, and use various training methods such as randomization of seat height to enable the generalization of the results of this study and application in clinical practice.

• The KIPS Transactions:PartB
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• v.14B no.1 s.111
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• pp.13-22
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• 2007

In this paper, we propose an audience counting method in an auditorium based on pattern comparison. The previous counting methods based on object detection can't exactly count the audience in real time because auditorium has coarse illumination condition and so many audiences. Therefore, in this paper, we count the audience in an auditorium with fixed seats by the method which the pattern from each reference seat is compared to the pattern from each input seat. Especially, to overcome limitations based on either illumination or noise, two pattern comparison methods are efficiently employed and combined. One is based on the amplitude projection, and the other is based on Walsh-Hadamard Kernel. Walsh-Hadamard Kernel has the characteristic which complements amplitude projection. Therefore, we ran achieve the accurate counting in the presence of coarse illumination and noise. The experimental results show that our method performs well on sequences of images acquired in an auditorium. We also verify a realistic possibility for other applications applying our method to the parking positioning system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.593-595
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• 2016

In recent, the cafe culture has came very close friendly people. But many customers have been left the seat because the cafe has been heavily biased. To solve the problem, we propose the Cafe Seat Confirmation System based on IoT. Proposed system consists of Arduino, Raspberry Pi, and application. Using a smart device, it is possible to provide efficient services such as real-time seat reservations and cafes management.

• Journal of the Korean Society of Radiology
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• v.17 no.3
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• pp.393-399
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• 2023

The purpose of this study was to evaluate the effect on school records of family environment, learner's attitude, school life, seat position in college students. The questionnaire surveyed for family environment, learner's attitude, school life by 121 students, and conformed the school records after consent and institutional review board. Mean age was 21.7-year, and men 54.5% and women 45.5% for sex. Learner's attitude and school life are significantly positively correlated for school records(p<0.001), and school life satisfaction and learner's attitude are significantly positively correlated for family environment(p<0.001). It showed significantly correlation between school life and learner's attitude(r=0.437, p<0.001). Seat position is significantly higher in men more than women(3.40 vs. 3.89, p=0.004), as well as in grader. Between school records ≥ 90% and <90% group showed statistically difference in school life (4.35 vs. 4.11, p=0.045) or learner's attitude(3.75 vs. 3.37, p=0.004), seat position(3.89 vs. 3.45, p=0.007). Therefor, school records are effected significantly by learner's attitude and school life, seat position in college students.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.75-77
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• 2021

다양한 원인으로 매년 수많은 사람이 교통사고로 목숨을 잃거나 크게 다치곤 한다. 최근 교통사고 통계자료에 따르면 졸음운전으로 인한 교통사고가 음주운전이나, 과속보다도 높은 비중을 차지하고 있었다. 또한, 사고가 났을 때 안전벨트를 매지 않은 운전자나 동승객은 부상 정도가 훨씬 심각한 것으로 알려져 전 좌석에 안전벨트를 꼭 착용해야 하는 법도 제정되었다. 그런데도 많은 운전자 및 동승자가 안전벨트를 착용하지 않아 크게 부상을 당하는 사고는 줄지 않고 있다. 이러한 사고와 부상을 줄이기 위하여 본 논문에서는 다중 네트워크를 이용하여 운전자의 졸음 감지 및 운전자, 동승자의 안전벨트 착용 여부까지 실시간으로 판별하는 시스템을 설계하고 구현한다.

• Journal of the Korea Society for Simulation
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• v.32 no.3
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• pp.43-53
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• 2023

In this detailed and comprehensive study, our primary focus has been placed on accurately gauging the number of visitors and their real-time locations in commercial spaces. Particularly, in a real cafe, using security cameras, we have developed a system that can offer live updates on available seating and predict future congestion levels. By employing YOLO, a real-time object detection and tracking algorithm, the number of visitors and their respective locations in real-time are also monitored. This information is then used to update a cafe's indoor map, thereby enabling users to easily identify available seating. Moreover, we developed a model that predicts the congestion of a cafe in real time. The sophisticated model, designed to learn visitor count and movement patterns over diverse time intervals, is based on Long Short Term Memory (LSTM) to address the vanishing gradient problem and Sequence-to-Sequence (Seq2Seq) for processing data with temporal relationships. This innovative system has the potential to significantly improve cafe management efficiency and customer satisfaction by delivering reliable predictions of cafe congestion to all users. Our groundbreaking research not only demonstrates the effectiveness and utility of indoor location tracking technology implemented through security cameras but also proposes potential applications in other commercial spaces.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.716-718
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• 2023

엔데믹 시대, 외식 비중이 증가하고 온라인 커뮤니티를 중심으로 인기있는 식당에 대한 공유가 활발하게 일어나며 특정 식당으로 쏠리는 현상 심화, 주요 시간대에 식사를 하기 위해 줄을 서거나 아예 헛걸음을 하는 경우가 많아지고 있다. 본 연구에서는 대부분의 식당에 설치되어 있는 CCTV에서 촬영 이미지를 활용해서 딥러닝을 활용한 Data Labeling을 시행, 현재 식당의 남은 자리를 분석하여 사용자에게 전달하는 프로젝트에 대한 방식을 서술한다. Client를 통해 사용자는 실시간으로 특정 식당의 남은 좌석 수를 확인할 수 있고, 이 정보를 바탕으로 해당 식당에 방문할지 말지를 결정할 수 있을 것이다. 프로젝트 진행에 앞서 데이터를 분석하는 딥러닝 모델인 YOLO에 대해 분석하였고, 각 버전에 대해 특징을 비교 및 대조, 본 프로젝트에 적합한 버전으로 YOLOv5s를 선정하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.446-452
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• 2020

As the use of children's school buses increases, accidents caused by the negligence of school bus drivers and ride carers have also increased significantly. To prevent such accidents, the government is coming up with various policies. We propose an accident prevention and safety management system for children's school buses. Through this system, bus drivers can easily check whether each child is seated and whether the seat belt is used, so it is possible to quickly respond to children's conditions while driving. With the ability to recognize faces by analyzing camera images, children can use a seat belt that is automatically adjusted to their height. It is therefore possible to prevent secondary injuries that may occur in the event of a traffic accident. In addition, a sleeping child-check system is provided to confirm that all children get off the bus, and a text service is provided to inform parents of their children's locations in real time. Based on Raspberry Pi, the system is implemented with cameras, pressure sensors, motors, Bluetooth modules, and so on. This proposed system was attached to a bus model to confirm that the series of functions work correctly.