• Journal of information and communication convergence engineering
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• v.6 no.2
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• pp.177-181
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• 2008

The more improved the Internet and the information technology, the stronger cryptographic system is required which can satisfy the information security on the platform of personal hand-held devices or smart card system. This paper introduces a case study of designing an elliptic curve cryptographic processor of a high performance that can be suitably used in a wireless communicating device or in an embedded system. To design an efficient cryptographic system, we first analyzed the operation hierarchy of the elliptic curve cryptographic system and then implemented the system by adopting a serial cell multiplier and modified Euclid divider. Simulation result shows that the system was correctly designed and it can compute thousands of operations per a second. The operating frequency used in simulation is about 66MHz and gate counts are approximately 229,284.

• Journal of Acupuncture Research
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• v.21 no.5
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• pp.149-162
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• 2004

Quality assurance with high safety profile is one of the most critical issues to medical device manufacturing. In general, this issue was not paid proper attention with respect to acupuncture needle and its related devices. Acupuncture needles are manufactured through various standards ranging from purely hand-made, partially hand-made and partially machine-made, to fully machine-made mainly in China, Korea, and Japan. There is a large difference in quality between needles from different manufacturers. In order to provide a standard manufacturing guideline, it seems necessary to make a Korean Industrial standard (KS). The authors review this topic from an historical view point, investigate the current situation of the standardization of acupuncture needles in other developed countries, and inspect the general procedure to establish a KS in Korea in order to suggest a KS for acupuncture needles.

• Journal of the Korea Computer Graphics Society
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• v.9 no.1
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• pp.19-27
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• 2003

Most interaction schemes in virtual environment are indirect in one way or another. ln particular, without a haptic device (which introduces its own problems due to its cumbersomeness), users must rely on visual (or/and aural) feedback, and can not directly appreciate the 3Dness of the interaction object even with stereoscopy. This causes a drop in object presence because people are used to, for instance, observing objects in one's hand, rotating and manipulating them with physical contact. To alleviate this problem, this paper proposes a hand-held cubic screen, named TangibleScreen, on which the appearance of the target interaction object is projected. We choose the Relief Texture Mapping as the rendering method to correctly generate the viewer dependent textures to be projected on the non-planar surfaces of the TangibleScreen.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.11a
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• pp.192-193
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• 2013

The purpose of this research is to comprehend experimentally the nature of human static load to wall for making use of the result as basic data to evaluate resisting force of lightweight wall. Human motions exerting static load are classified to 4 types, and two-hands pushing and shoulder pushing are defined as the instantaneously forcing motions with hands or shoulder put on the load plate, respectively. Back leaning and one-hand leaning are defined as motions of taking a rest in their respective comfortable posture. Measurement of static horizontal load caused by each motion showed that the highest load ratio depends on hardness of load plane and was 1.17~1.25 times of weight in two-hands pushing, 0.95~0.99 times in shoulder pushing, 0.16~0.18 times in back leaning, and 0.12~0.15 times in one-hand leaning.

• Journal of Information Processing Systems
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• v.14 no.4
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• pp.980-988
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• 2018

Motion estimation is a key Natural User Interface/Natural User Experience (NUI/NUX) technology to utilize motions as commands. HTC VIVE is an excellent device for estimating motions but only considers the positions of hands, not the orientations of arms. Even if the positions of the hands are the same, the meaning of motions can differ according to the orientations of the arms. Therefore, when the positions of arms are measured and utilized, their orientations should be estimated as well. This paper proposes a method for estimating the arm orientations based on the Bayesian probability of the hand positions measured in advance. In experiments, the proposed method was used to measure the hand positions with HTC VIVE. The results showed that the proposed method estimated orientations with an error rate of about 19%, but the possibility of estimating the orientation of any body part without additional devices was demonstrated.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.2
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• pp.122-128
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• 2016

The purpose of this study is to improve the firing elevation driving method for towed howitzer to prevent the musculoskeletal disorders. To adjust the firing elevation, it is required to rotate the hand wheel and this work has been done manually in the firing test range as the same method as field artillery troops. In the firing test range, the motor-driven firing elevation adjustment device was developed to improve the working efficiency and safety. These were compared by using posture classification scheme of RULA and REBA. It was measured elapsed time to investigate the improved operational efficiency. The optimal posture of upper body to operate the hand wheel for field artillery troops was proposed.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.333-334
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• 2018

This is a study on controlling a drone (DJI Mavic Air) with simple hand gesture using Leap Motion controller. Four component involve are MacBook, Leap Motion controller, Android device, and DJI Mavic Air. All of this component are connected through USB, Bluetooth, and Wi-Fi technology. The studies main purpose are to show that by controlling a drone through Leap Motion, drone amateur user can easily learn how to control a drone, and because of longer drone control range can be archived things such as search and rescue mission will be possible.

• The Journal of Korea Robotics Society
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• v.14 no.3
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• pp.211-220
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• 2019

Surface electromyogram (sEMG), which is a bio-electrical signal originated from action potentials of nerves and muscle fibers activated by motor neurons, has been widely used for recognizing motion intention of robotic prosthesis for amputees because it enables a device to be operated intuitively by users without any artificial and additional work. In this paper, we propose a training-free unsupervised sEMG pattern recognition algorithm. It is useful for the gesture recognition for the amputees from whom we cannot achieve motion labels for the previous supervised pattern recognition algorithms. Using the proposed algorithm, we can classify the sEMG signals for gesture recognition and the calculated threshold probability value can be used as a sensitivity parameter for pattern registration. The proposed algorithm was verified by a case study of a patient with partial-hand amputation.

• The Journal of Korea Robotics Society
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• v.16 no.1
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• pp.64-71
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• 2021

This paper describes a robotic teleoperation system to perform an accurate needle insertion into a cornea for a separation between the stromal layer and Descemet's membrane during deep anterior lamellar Keratoplasty (DALK). The system can reduce the hand tremor of a surgeon by scaling the input motion, which is the control input of the slave robot. Moreover, we utilize corneal applanation to estimate the insertion depth. The proposed system was validated by performing the layer separation using 25 porcine eyes. The average depth of needle insertion was 742 ± 39.8 ㎛ while the target insertion depth was 750 ㎛. Tremor error was reduced from 402 ± 248 ㎛ in the master device to 28.5 ± 21.0 ㎛ in the slave robot. The rate of complete success, partial success, and failure were 60, 28, and 12%, respectively. The experimental results showed that the proposed system was able to reduce the hand tremor of surgeons and perform precise needle insertion during DALK.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.485-486
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• 2021

항공기에는 많은 시스템이 있고 다양한 장치들이 있다. 이 장치들은 사용자의 명령을 입력받아 사용되는데 자동을 제외한 거의 모든 시스템들은 사용자의 직접적인 조작으로 작동된다. 하지만 여전히 완전 자동화는 되지 않아 사소하고 섬세한 부분에서 조종사는 수동으로 작동시켜 주어야하는 부분들이 있다. 사소한 부분들을 신경써야 하기에 조종사에게 피로는 필수적을 따라왔다. 본 연구에선 현재의 기술에서 더 나아가 음성인식(STT, TTS)을 활용하여 항공기의 다양한 장치들을 원격제어할 수 있게 개발하여 완전 자동화를 목적으로 한다. 음성을 이용한 방식은 조종사에게 손을 사용하지 않는 편리함을 제공한다. 조종사에게 원거리에서 음성으로 조작할 수 있게 해줌으로써 손을 사용하여 조작하지 않아 편의성을 제공할 수 있고 명령을 통해 컴퓨터가 처리함으로써 조종이 간단해진다. 본 연구로 인해 사소한 부분까지 신경쓸 필요가 없어져 조종사의 실수나 피로로인해 일어나는 사고를 방지할 수 있다.