• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.4A
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• pp.197-204
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• 2012

We propose a new scheme combining the compensation of HPA nonlinearity and the calibration of the path imperfections in the downlink OFDM smart antenna systems. We use a two term third-order polynomial (without second-order term) and the feedforward method for compensation and calibration to make each path of the antenna array have equal characteristics. Since the proposed scheme does not alter the base-band signal, it can be applied to the smart antenna system independently of the base-band signal processing section. The result of computer simulations shows that, with the addition of only one third-order term, the adverse nonlinear effects can be effectively compensated, and the those of linear imperfections can be calibrated as well.

• Smart Media Journal
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• v.5 no.4
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• pp.124-130
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• 2016

Big data technologies are increasing the need for big data in many areas of the world. Recently, the health care industry has become increasingly aware of the importance of disease and health care services, as it has become increasingly immune to prevention and health care. To do this, we need a Big data system to collect and analyze the personal biometric data. In this paper, we design the biometric big data system using low cost wearable device. We collect basic biometric data, such as heart rate, step count and physical activity from Mi Band, and store the collected biometric data into MongoDB. Based on the results of this study, it is possible to build a big data system that can be used in actual medical environment by using Hadoop etc. and to use it in real medical service in connection with various wearable devices for medical information.

• Smart Media Journal
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• v.4 no.1
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• pp.33-38
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• 2015

In this paper, we propose the methods not only to eliminate ELF(Extremely Low Frequency) EMI(Electro-Magnetic Interference) noice for extending recognition distance, but also to utilize the the PLN for detecting starting instance of a hand gesture using electric potential sensor. First, we measure strength of electric field generated in the smart devices such as TV and phone, and minimize EMI through efficient arrangement of the sensors. Meanwhile, we utilize the 60 Hz PLN to extract the starting point of hand gesture. Thereafter, we eliminate the PLN generated in the smart device and circuit of sensors. And then, we shield the sensors from an electric noise generated from devices. Finally, through analyzing the frequency components according to the gesture of target, we use the low pass filter and the Kalman filter for elimination of remaining electric noise. We analyze and evaluate the proposed ELF-band EMI eliminating method for non-contact remote sensing of the EPS(Electric Potential Sensor). Combined with a detecting technique of gesture starting point, the recognition distance for gestures has been proven to be extended to more than 3m, which is critical for real application.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2006.07a
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• pp.520-520
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• 2006

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.07a
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• pp.435-435
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• 2004

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.6
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• pp.183-189
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• 2014

A recent trend of 'Smart Technology' has changed the simple and normal car into smart vehicle. Smart vehicle has a complex aspects of technologies and Wireless Access in Vehicular Environment (WAVE) is the technology that is mentioned for the communication infrastructure of Smart Vehicle. The current status about WAVE in Korea, however, is not good to be used in smart vehicular communication. The reason for that is that the frequency band for WAVE is not assigned or allocated in Korea. In this paper, we will explore the current status of technology standard for WAVE and investigate the way of frequency allocation for WAVE with the survey analysis from the smart vehicle industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.232-234
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• 2018

In this study, We developed the non-contact RFID smart tag system. which are consists of passive RFID Tag and Reader. The system was designed for the low frequency of 13.56Mhz-band. The developed RFID smart tag board was developed to improve response time through simulation experiments were conducted. We introduced in the body of an RFID tag technology, circuit design and simulation and experimental results are described.

• Journal of the Semiconductor & Display Technology
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• v.13 no.1
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• pp.73-81
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• 2014

In this paper, high-speed Hybrid MAC (Medium Access Control layer) implementation suitable for smart grid applications is researched. MB-OFDM (Multi-Band Orthogonal Frequency Division Multiplexing) is considered for high-speed communication method in smart grid application. In this paper, the MAC adopts the distributed network managing method. Also, the MB-OFDM merit of high-speed transfer rate of up to 480Mbps must be supported. Hence, this paper presents an efficient hardware-software integration (co-design) method in order to realize a high- speed transmission, and a realizing method of distribution network. Finally, MAC performance and reliability based on MB-OFDM PHY (PHYsical layer) are confirmed through simulation and emulation.

• The Journal of the Acoustical Society of Korea
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• v.34 no.2
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• pp.91-97
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• 2015

In this paper, wireless communication from a smart phone to a hearing aid using audible frequency band sound was considered. 1kHz single channel carrier frequency was applied for amplitude shift keying (ASK) binary data modulation, and the result of the transmission and reception was tested. The overall system process was precisely explained and experimentally evaluated. The result will be applied for realizing a digital hearing aid with remote control feature by a smart phone.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.538-541
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• 2020

코로나 19 팬데믹 상황으로 언택트 콘텐츠에 대한 수요가 증가하고 있다. 그러나 실외 스포츠를 실내에서 즐기기에는 한계가 존재한다. 본 연구에서는 증강현실과 스마트 밴드를 이용하여 실감형 로잉머신 AR 헬스 케어 콘텐츠를 개발하였다. 스마트 밴드를 이용하여 사용자의 운동 데이터를 전달하고, 이 데이터를 바탕으로 증강현실을 이용하여 실내에서도 실감형 콘텐츠를 즐길 수 있게 설계하였다. 이러한 결과는 스마트 밴드를 이용한 AR 헬스 케어 시장의 가능성을 제시한다.