• ETRI Journal
• /
• v.37 no.6
• /
• pp.1231-1241
• /
• 2015

In this study, we investigate the relationship between emotions and the physiological responses, with emotion recognition, using the proposed fuzzy information granulation-based neural network (FIGNN) for boredom, pain, and surprise emotions. For an analysis of the physiological responses, three emotions are induced through emotional stimuli, and the physiological signals are obtained from the evoked emotions. To recognize the emotions, we design an FIGNN recognizer and deal with the feature selection through an analysis of the physiological signals. The proposed method is accomplished in premise, consequence, and aggregation design phases. The premise phase takes information granulation using fuzzy c-means clustering, the consequence phase adopts a polynomial function, and the aggregation phase resorts to a general fuzzy inference. Experiments show that a suitable methodology and a substantial reduction of the feature space can be accomplished, and that the proposed FIGNN has a high recognition accuracy for the three emotions using physiological signals.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.05a
• /
• pp.712-713
• /
• 2017

Clinically applicable light emitting diode (LED) has been widely investigated because of relatively low heat generation, low cytotoxicity, and non-invasiveness compared to other therapeutic methods. Therefore, we investigated the therapeutic effects of several wavelengths of light emitting diode against human cervical cancer cells and analyzed the individual inhibitory effect for the cancer cell proliferation. In the experiment, prepared HeLa cells were exposed by red, green and blue light-emitting diode for 10 minutes each. Relatively short-wavelength light-emitting diode (blue) showed stronger therapeutic effects than relatively long-wavelength light-emitting diodes.

• ETRI Journal
• /
• v.36 no.6
• /
• pp.881-888
• /
• 2014

This paper studies the magnetic coupling between two adjacent loop antennas that are parallel to each other in a plane and presents a new practical method to avoid the resulting magnetic coupling interference. The study focuses on the high frequency radio-frequency identification (RFID) system for casino applications, where several loop antennas are closely built into a game table to monitor gaming chips. In this case, neighboring loop antennas may severely interfere with each other by magnetic coupling, which leads to the malfunction of the RFID system. In this paper, we present a practical loop antenna with a new loop switch circuit for avoiding magnetic coupling. The loop switch circuit is integrated with a matching circuit and automatically operated by using an interrogating signal from a reader. We verified the validity of the proposed design by showing that an RFID reader with the proposed antenna can exactly and separately read the gaming chips placed on the different betting zones of a game table.

• Transactions on Electrical and Electronic Materials
• /
• v.12 no.1
• /
• pp.32-34
• /
• 2011

A zero-shrinkage sintering process in which the shrinkage of the x-y axis is controlled to be zero is in great demand due to the high integration trend in ceramic modules. Among the zero-shrinkage sintering processes available, the glass infiltration method proposed in the preliminary study with an $Al_2O_3/Glass/Al_2O_3$ structure is one promising method. However, problems exist in regard to the glass infiltration method, including partially incomplete joining between $Al_2O_3$ and glass layers due to the precipitate of Ti-Pb rich phase during the sintering process. Therefore, we wish to solve the de-lamination problems and suggest a mechanism for delamination and the solutions in the zero-shrinkage low temperature co-fired ceramic (LTCC) layers. The de-lamination problems diminished using the Pb-BSi-O glass without $TiO_2$ in Pb-B-Ti-Si-O glass and produced a very dense zero-shrinkage LTCC.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.10a
• /
• pp.470-472
• /
• 2017

Currently, various studies using chemotherapy, such as surgical treatment, radiation or optical therapy, and chemotherapy, are underway. In addition, expensive chemotherapeutic drugs and large-scale equipment have been developed to improve the accuracy and therapeutic effect. However many side effects caused by misuse of the kind of light source, radiation, and cancer treatment have been observed. Therefore, in this paper, we propose a novel chemotherapeutic method by developing a customized cancer cell proliferation inhibition module based on a microcontroller that is relatively inexpensive, easy to operate, and able to operate in various wavelength light sources.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.10a
• /
• pp.866-868
• /
• 2018

본 연구는 표면 근전도를 이용하여 서로 다른 손가락 움직임을 분류하여 일상 생활 속 다양한 사물(e.g, TV, 에어컨 등)을 제어하는 시스템을 개발을 목표로 한다. 손등에 총 4 개의 양극성 전극을 사용하여 피험자 5명으로부터 표면 근전도를 측정하였다. 각 피험자는 검지, 중지, 약지, 소지를 구부리는 동작 및 휴직 상태에 다섯 가지 다른 과제를 각각 3초씩 50회 수행하였으며, 이 때 표면 근전도를 피험자의 손등에서 측정하였다. 측정한 근전도 신호의 분산을 특징으로 추출하여 선형 판별 분석을 적용한 결과 평균 $81.3{\pm}6.3%$의 분류 정확도를 얻을 수 있었다. 추후 분류 정확도 향상을 위한 추가 연구를 통해 시스템의 신뢰도를 더욱 향상시키고 실제 사물을 제어하는 시스템을 개발하고자 한다.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
• /
• v.26 no.3
• /
• pp.221-226
• /
• 2013

The water soluble quantum dots (QDs) are synthesized by the phase transfer and silica coating reaction. The photoluminescence intensity of silica-coated QDs are mainly affected by the amount of phase transfer agent, SDS (sodium dodecyl sulfate), and the maximum value is obtained at the cmc (critical micell concentration) concentration of SDS in the phase transfer reaction. Based on fluorescence spectra and field emission transmission electron microscope (FETEM), the energy transfer rate by forster resonance energy transfer (FRET) is increasing with the thickness of the silica shell coated on CdSe/ZnS QDs.

• Applied Microscopy
• /
• v.52
• /
• pp.5.1-5.10
• /
• 2022

The use of Pipelines for long-distance transportation of crude oil, natural gas and similar applications is increasing and has pivotal importance in recent times. High specific strength plays a crucial role in improving transport efficiency through increased pressure and improved laying efficiency through reduced diameter and weight of line pipes. TRIP-based high-strength and high-ductility alloys comprise a mixture of ferrite, bainite, and retained austenite that provide excellent mechanical properties such as dimensional stability, fatigue strength, and impact toughness. This study performs microstructure analysis using both Nital etching and LePera etching methods. At the time of Nital etching, it is difficult to distinctly observe second phase. However, using LePera etching conditions it is possible to distinctly measure the M/A phase and ferrite matrix. The fraction measurement was done using OM and SEM images which give similar results for the average volume fraction of the phases. Although it is possible to distinguish the M/A phase from the SEM image of the sample subjected to LePera etching. However, using Nital etching is nearly impossible. Nital etching is good at specific phase analysis than LePera etching when using SEM images.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.05a
• /
• pp.501-504
• /
• 2022

안전한 암호 시스템은 평문을 복원하거나 키를 유추해낼 수 없도록 설계된다. 암호 분석은 이러한 암호 시스템에서 평문과 키를 추정하는 것이며, 알려진 평문 공격, 선택 평문 공격, 차분분석 등 다양한 방법이 존재한다. 또한, 최근에는 데이터의 특징을 추출하고 학습해내는 인공신경망 기술을 기반으로 하는 암호 분석 기법들이 제안되고 있다. 현재는 라운드 축소된 S-DES, SPECK, SIMON, PRESENT 등의 경량암호 및 고전암호에 대한 공격이 대부분이며, 이외에도 암호 분석을 위한 active S-box의 수를 예측하는 등과 같이 다양한 측면에서 인공신경망이 적용되고 있다. 향후에는 신경망의 효율적 구현, full-round에 대한 공격과 그에 대한 암호학적 해석이 가능한 연구들이 진행되어야 할 것으로 생각된다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.05a
• /
• pp.564-567
• /
• 2022

최근 딥러닝이 다양한 분야에서 활용됨에 따라 중앙 집중식 서버, 적대적 공격 그리고 데이터 부족 및 독점화와 같은 다양한 문제점이 발생하고 있다. 또한 연합학습을 수행할 경우, 클라이언트가 잘못된 기울기를 서버에 제공하거나 서버가 악의적인 행동을 할 경우 심각한 문제로 이어질 수 있다. 이와 같은 보안 취약점을 해결하기 위해 딥러닝에 블록체인을 결합하여 중앙 집중식 서버를 분산화하고 각 참여자 노드에게 인센티브를 줌으로써 신뢰할 수 있는 데이터를 수집하는 기법이 연구되고 있다. 본 논문에서는 위와 같이 딥러닝의 문제점을 해결하기 위해 블록체인이 어떻게 적용되었는지 살펴본다.