• Journal of Korea Society of Industrial Information Systems
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• v.22 no.6
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• pp.31-38
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• 2017

With the Development of Information Technology, Security is becoming very Important. Existing Security Systems are Mostly Expensive and Not Easy to Implement, and are Also very Complex when using Biometric Information. In this paper, We try to solve this Problem by Implementing a Low cost Internet based Security Terminal Using Fingerprint and Face Image. To Implement a Low-cost Security System, a Fingerprint Scanner and a Camera are installed in Raspberry pi, and the Scanned Image is encrypted with the AES-256 Algorithm and Transmitted to Cloud. Through This Study, We confirmed the Possibility of the Proposed System in view of Authentication, Cost Reduction, Security and Scalability.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.764-767
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• 2017

최근 개인정보 활용에서 보안 및 인증에 대한 중요성이 대두되고 있으며, IoT 기반의 바이오 디바이스를 접목한 생체인식 기술은 사용자의 식별과 인증을 위해 다양한 분야에서 많은 발전을 보이고 있다. 본 논문에서는 대규모 뇌파신호를 효과적으로 처리하기 위한 방안으로 Deep Learning 기법을 적용한 뇌파 데이터 식별과 이를 분석한 사용자 인증이 가능한 스마트 자물쇠 모델을 제안한다. 제안한 뇌파신호를 활용한 Deep Learning 기반 사용자 식별 및 인증 모델은 보안 시스템에서의 활용뿐만 아니라 다양한 사물인터넷과 접목 시킬 수 있으며, 뇌성마비 또는 신체 활동이 제한적인 환자의 경우 일상생활의 제약을 줄이고 삶의 질적 향상에 도움이 될 것으로 기대한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.467-469
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• 2016

Car smart key system is a technology that allows you to turn activate / deactivate the auto lock through the contact form of electronic keys on the remote control and turn on the ignition by pressing the button. Smart key system is regarded as one of the essential options of the car as it is increasingly convenient to user, but there is no response yet for an attack to this situation. Therefore, in this paper, through an analysis of the amplification attack of a smart key we propose a way to stop the amplification attack and stop the car seized in case the car door opened due to the amplification attack.

• Journal of Technologic Dentistry
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• v.45 no.1
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• pp.8-13
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• 2023

Purpose: This study aims to induce interest in the future society that could change with the advance of the 4th Industrial Revolution. It also intends to identify the direction of university education by investigating the perception of university students majoring in dental laboratory technology about the latest technology used in this era. Methods: The study recruited 240 college students majoring in dental laboratory technology at K and D universities in Gangwon-do and Daejeon, respectively. Online and face-to-face surveys were conducted from March 20, 2022 to April 10, 2022. Results: Although their interest in the use of emerging technologies during the 4th Industrial Revolution was above average 3.85, the dental laboratory technology students exhibited relatively high levels of anxiety 3.19 and reluctance 2.96. Second, their interest in emerging technologies demonstrated positive correlations with major satisfaction and understanding of concepts and readiness, whereas reluctance and anxiety pointed to negative correlations with understanding of the concepts of the 4th Industrial Revolution. Conclusion: Formulating guidelines is necessary to help students increase their understanding of the 4th Industrial Revolution and prepare them appropriately by setting an educational direction that can flexibly respond to the rapidly changing industrial environment.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.2
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• pp.7-17
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• 2023

In the era of the 4th industrial revolution, airports around the world are rapidly pushing for smart airports. One ID service based on biometric technology to eliminate congestion and improve airport operation efficiency is one of them. In particular, biopass, which allows you to use the entire journey with one single token without an ID card or boarding pass from arrival at the airport to boarding an aircraft, is emerging as an important technology for smart airports. This study conducted an empirical analysis to identify factors that affect the intention to use in two aspects: the acceptance, and rejection of bio-pass by combining UTAUT and the innovative resistance model. As a result of the study, it was found that the relative advantages and compatibility had a positive effect on the intention to use, and the perceived risk had a negative effect on the intention to use through innovation resistance. This suggests that infrastructure expansion and usage expansion are needed to use time more efficiently at airports, and that the government, airlines, and airport operators need to cooperate to strengthen the security system to relieve users' psychological anxiety.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.12
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• pp.2298-2304
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• 2017

Online signature verification is one of the simple and efficient method of identity verification and has less resistance than other biometric technologies. In training to build a verification model, negative samples are required to build the model, but in most practical applications it is not easy to get negative samples - forgery signatures. In this paper, proposed is a method using someone else's signatures as negative samples. In verification, shape-based features extracted from the time-sequenced signature data are extracted and a support vector machine is used to verify. SVM tries to map a feature vector to a high dimensional space and to draw a linear boundary in the high dimensional space. SVM is one of the best classifiers and has been applied to various applications. Using general handwriting data, i.e., someone else's signatures which have little in common with positive samples improved the verification rate experimentally, which means that signature verification without negative samples is possible.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.183-188
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• 2019

As social perceptions of pets change, cultural attitudes toward pets are becoming more friendly. In particular, dogs have been living familiarly and closely with humans for a long time. In the changing times, various services are being used to improve the understanding of dogs and to prevent companion dogs and increase awareness of respect for life. Therefore, in this paper, we implemented a smart lead line in which IoT service and application technology are linked to the walking dog's automatic lead line. To do this, we developed a smart dog lead line by designing and implementing an integrated module in connection with heterogeneous sensors and linking it with a dog lead line. Finally, a smart dog lead line was used to collect the dog's biological signals in real time, identify the location of the dog, and provide a notification system. Through this, we believe that the culture of dog culture can be further grown.

• Science of Emotion and Sensibility
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• v.24 no.2
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• pp.65-74
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• 2021

With recent innovations in the ICT industry, the demand for wearable sensing devices to recognize and respond to biological signals has increased. In this study, a three-dimensional (3D) spacer fabric was embedded in a single-wall carbon nanotube (SWCNT) dispersive solution through a simple penetration process to develop a monolayer piezoresistive pressure sensor. To induce electrical conductivity in the 3D spacer fabric, samples were immersed in the SWCNT dispersive solution and dried. To determine the electrical properties of the impregnated specimen, a universal testing machine and multimeter were used to measure the resistance of the pressure change. Moreover, to examine the changes in the electrical properties of the sensor, its performance was evaluated by varying the concentration, number of penetrations, and thickness of the specimen. Samples that penetrated twice in the SWCNT distributed solution of 0.1 wt% showed the best performance as sensors. The 7-mm thick sensors showed the highest GF, and the 13-mm thick sensors showed the widest operating range. This study confirms the effectiveness of the simple process of fabricating smart textile sensors comprising 3D spacer fabrics and the excellent performance of the sensors.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.2
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• pp.89-98
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• 2004

In this paper, we implement a digital holographic security card system that combines digital holographic memory using random phase encoded reference beams with electrical biometrics. Digitally encoded data including a document, a picture of face, and a fingerprint are recorded by multiplexing of holographic memory. A random phase mask encoding reference beams are used as a decoded key to protect illegal counterfeit. As a result, we can achieve a raw BER of 3.6${\times}$10-4 and shift selectivity of 4${\mu}{\textrm}{m}$ using the 2D random phase mask. Also, we develop a recording pattern and image processing which are suitable for a low cost reader without a position sensing photo-detector for real time data extraction and remove danger of fraud from unauthorized person by comparing the reconstructed holographic data with the live fingerprint data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.400-403
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• 2018

The VR / AR market has grown significantly due to the development of Virtual Reality and Augmented Reality, the core technologies of the Fourth Industrial Revolution. According to a report released by the Korea Science and Engineering Corporation (KISTEP), the global VR / AR market will grow to $ 105 billion by 2022. An important key to the growth of the VR / AR market is user immersion. VR is dependent on technology of hardware such as display and sensor for biometric signal recognition. In order to improve user's immersion feeling, it is important to transmit sensor data to display device more accurately and quickly. In this paper, we consider various sensor hardware dependencies of VR, and compare various correction methods and filtering methods to lower the Motion to Photon (MTP) time that user movement is fully reflected on the display using sensor devices.