• Journal of the Institute of Convergence Signal Processing
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• v.24 no.1
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• pp.15-20
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• 2023

In general, maintaining an incorrect sitting posture for a long time is widely known to adversely affect the spine. Recently, several researchers have been interested in the causal relationship between incorrect sitting posture and spinal diseases, and have been studying methods to precisely measure changes in sitting or standing posture to prevent spinal diseases. In previous studies, we have developed a sensor device capable of measuring real-time posture change, applied a momentum calculation algorithm to improve the accuracy of real-time posture change measurement, and verified the accuracy of the postural change measurement sensor. In this study, we developed a posture measurement and analysis device that considers changes in the center of body pressure through the developed sitting pressure measurement, and it confirmed the sensor as an auxiliary tool to increase the accuracy of posture correction training with improving the user's visual feedback.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.471-476
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• 2024

With the spread of various smart devices and computing devices, big data generation is occurring widely. Machine learning is an algorithm that performs reasoning by learning data patterns. Among the various machine learning algorithms, the algorithm that attracts attention is deep learning based on neural networks. Deep learning is achieving rapid performance improvement with the release of various applications. Recently, among deep learning algorithms, attempts to analyze data using graph structures are increasing. In this study, we present a graph generation method for transferring to a deep learning network. This paper proposes a method of generalizing node properties and edge weights in the graph generation process and converting them into a structure for deep learning input by presenting a matricization We present a method of applying a linear transformation matrix that can preserve attribute and weight information in the graph generation process. Finally, we present a deep learning input structure of a general graph and present an approach for performance analysis.

• Journal of the Korea Computer Graphics Society
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• v.30 no.3
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• pp.159-169
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• 2024

This paper proposes a new real-time fire monitoring and evacuation navigation system by integrating Augmented Reality (AR) technology with Internet of Things (IoT) technology. The proposed system collects temperature data through IoT temperature measurement devices installed in buildings and automatically transmits it to a MySQL cloud database via an IoT platform, enabling real-time and accurate data monitoring. Subsequently, the real-time IoT data is visualized on a 3D building model generated through Building Information Modeling (BIM), and the model is represented in the real world using AR technology, allowing intuitive identification of the fire origin. Furthermore, by utilizing Vuforia engine's Device Tracking and Area Targets features, the system tracks the user's real-time location and employs an enhanced A^* algorithm to find the optimal evacuation route among multiple exits. The paper evaluates the proposed system's practicality and demonstrates its effectiveness in rapid and safe evacuation through user experiments based on various virtual fire scenarios.

• Cartoon and Animation Studies
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• s.39
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• pp.133-156
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• 2015

With development of media and technology animation are seeking a variety of a genre fusion. I would like to propose a new animation screening method using a projection mapping and a popup book. I redesigned the existing method of watching the animation to a new experience by projecting the image on a three-dimensional structure instead a flat screen. This screening method was inspired by preceded works which were made by the fusion of a projection mapping and a popup book. Through analysis of them, I found the merits, shortcomings and clarified the difference of each works. I called this method "Hybrid Animation Theater" because it is fused the various areas - Theater, Projection mapping, Pop-up book, Animation, and Installations, etc. also studied for its architectural features and design. After I designed a prototype to demonstrate the possibilities, the limitations and shortcomings, I could suggest next research directions.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.499-507
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• 2016

The era of IoT, which figures exchanging data from the internet between things is coming. Recently, former electric power energy policy paradigm, namely Supply side paradigm, is changing, because electric power energy consumption is rapidly increasing. As new paradigm for this limit, convergence of existing electric power grid and ICT(Information and Communication Technology) will accelerate intellectualization of electric power device, its operation system. This change brought opened electric power grid. Consequently, attacks to the national electric power grid are increasing. On this paper, we will analyze security threats of existing IoT, discuss security weakness on electric power industry IoT and suggest needed security requirements, security technology.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.137-144
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• 2017

Face detection is still a challenging task under severe face pose variations in complex background. This paper proposes an effective algorithm which can detect single or multiple faces based on skin color detection and depth information. We introduce Gaussian mixture model(GMM) for skin color detection in a color image. The depth information is from three dimensional depth sensor of Kinect V2 device, and is useful in segmenting a human body from the background. Then, a labeling process successfully removes non-face region using several features. Experimental results show that the proposed face detection algorithm can provide robust detection performance even under variable conditions and complex background.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.876-879
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• 2015

Inernet of Things(IoT) is a network to be interconnected with things anytime, anywhere. This means interaction with each other, collecting, sharing, and analysing the data. IoT also offers a new paradigm shift in industry. In particular, the combining with the fields of health care services has been noted. The convergence of IoT technology and health care is expected to be the innovation paradigm in the healthcare industry that includes all of the changes to bring the mobile health and wearable health care devices. This study analyzes IoT, health care status, and the use cases of the IoT in the medical field, finally analyses security on the Internet of Things, the most important issues of security challenges while still in medical services.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2003.12a
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• pp.406-411
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• 2003

최근, 디지털 기술과 네트워크의 발달로 다양한 무선통신 단말기, 반도체, 디지털 방송, 전자상거래 등 다양한 분야가 융합되어 사람과 디바이스간에 실시간으로 정보를 주고받는 환경 즉, 유비쿼터스 컴퓨팅 환경에 많은 관심이 주목되고 있다. 이러한 유비쿼터스 컴퓨팅 환경에서의 통신은 통신개체간에 실시간 개체인증은 물론 전송되는 정보의무결성, 기밀성 등 보안 서비스가 요구된다. 현재의 개체 인증은 사용자가 기억하는 패스워드 또는, 스마트 카드와 같은 보안 모듈을 사용하여 사용자와 개체간에 인증이 이루어지고 있는 실정이다. 이러한 방식은 사용자가 기억해야 할 패스워드가 증가한다거나, 보안 모듈의 손상 및 분실로 인해 자신의 프라이버시(privacy)가 노출될 수 있는 단점이 있다. 이에 본 논문에서는 사용자 고유의 생체 정보와 기억할 수 있는 패스워드를 비밀정보로 사용하여 양방향 개체 인증 키 분배 프로토콜을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.457-459
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• 2014

최근 Wellness 산업과 스마트 디바이스가 융합되면서 기존의 질병관리 체계보다 앞서 예방하는 건강관리 u-Healthcare 가 개발되고 있다. 하지만 u-Healthcare 에서 취급되는 개인정보 및 의료정보는 메시지 탈취/변조로 인해 공격자에게 악용되어 의료사고를 유발하고 환자의 생명까지 앗아갈 수 있으며 또한 프라이버시 침해로 인해 사용자의 신변을 보장 받을 수 없다. 본 논문에서는 웰니스 서비스의 u-Healthcare 보안의 고려사항과 연구동향에 대해 살펴보고 현재 u-Healthcare 분야에서 보안이 적용된 시스템에 대해 분석하고 취급되는 정보보호의 중요성에 대해 고찰한다.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.5
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• pp.371-376
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• 2016

Safety related workers, such as firefighters, have to wear a protective helmet. The Development of Helmets for safety is in progress to promote the wearable device industry. Several accidents caused by negligence in recent days have raised public attention to safety. For this reason, the amount of national budget funding for the study of fire-fighting and smart safety helmets has increased. However, most previous studies have focused on safety, rather than the application of new technologies based on physical attributes, especially the characteristics of head shape and size, even though fire helmets play the critical role of protection from flames and external shocks etc. in an emergency. This paper will present the smart technologies and newly developed designs for safety helmets that are personalized for each firefighter, based on the characteristics of their head, and will help a rescue operation to be much more safe and efficient.