• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1991년도 추계학술대회
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• pp.44-47
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• 1991

There exists a transform trellis code that is optimal for stationary Gaussian sources and the squared-error distortion measure at all rates. In this paper, we train an asymptotically optimal version of such a code to obtain one which is matched better to the statistics of real world data. The training algorithm uses the M-algorithm to search the trellis codebook and the LBG-algorithm to update the trellis codebook. To adapt the codebook for the varying input data. we use two gain-adaptive methods. The gain-adaptive scheme 1, which normalizes input block data by its gain factor, is applied to images at rate 0.5 bits/pixel. When each block is encoded at the same rate, the nonstationarity among the block variances leads to a variation in the resulting distortion from one block to another. To alleviate the non-uniformity among the encoded image, we design four clusters from the block power, in which each cluster has its own trellis codebook and different rates. The rate of each cluster is assigned through requiring a constant distortion per-letter. This gain-adaptive scheme 2 produces good visual and measurable quality at low rates.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권11호
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• pp.4519-4533
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• 2015

Hypertext Transfer Protocol (HTTP) adaptive streaming has become a new trend in video delivery. An HTTP adaptive streaming client needs to effectively estimate resource availability and demand. However, due to the bitrate of the video encoded in variable bitrate (VBR) mode, a bitrate mismatch problem occurs. With the rising demand for mobile devices, the likelihood of cases where two or more HTTP adaptive streaming clients share the same network bottleneck and competing for available bandwidth will increase. These mismatch and competition issues lead to network congestion, which adversely affects the Quality of Experience (QoE). To solve these problem, we propose a video rate adaptation scheme for the HTTP video streaming to guarantee and optimize the QoE. The proposed scheme estimates the available bandwidth according to the bitrate of each segment and also schedules the segment request time to expedite the response to the bandwidth variation. We used a multi-client simulation to prove that our scheme can effectively cope with drastic changes in the connection throughput and video bitrate.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1940-1943
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• 2002

In this paper, we presented the design and implementation of 155Mbps satellite Modem adaptively compensated against the rain attenuation. In order to compensate the rain attenuation over high-speed satellite ink, the adaptive coding schemes with variable coding rates and the pragmatic TCM that can be decoded both the QPSK and TC-8PSK using same Viterbi decoder was studied and analyzed. The pragmatic TCM with rate 213, selected to the optimal parameters for implementation, was modeled by VHDL in this paper. The key design issues are how to achieve a high data rate and how to integrated into a single ASIC chip various functions such as the different data rates, Scrambler/descrambler, Interleaver, Encoder/decoder, and BPSK/QPSK/8PSK modulator/demodulator. The implemented 155M0ps adaptive MODEM has the simplified interface circuits among the many functional blocks, and parallel processing architecture to achieve the high data rate. This 155Mbps adaptive MODEM was designed and implemented by single ASIC chip with the 0.25 $\mu\textrm{m}$ CMOS standard cell technology.

• 대한의용생체공학회:의공학회지
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• 제40권1호
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• pp.32-37
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• 2019

In this study, we designed a blending algorithm for rate adaptive pacing for cardiac pacemaker. Generally, rate adaptive pacing (RAP) is applied to patients whose heart rate does not rise during exercise for chronotropic incompetence (CI) patient. It is very important to develop an algorithm for RAP that can be properly applied to CI patients. In order to design an RAP algorithm we used dual sensors. Firstly, we designed a bio-signal measurement system based on the dual sensors, which are accelerometer and respiratory system. Secondly, we conducted treadmill test for the simulation experiment while using 3-lead ECG as reference. Finally, we designed a blending algorithm based on activation state of the dual sensors. The proposed blending algorithm was subdivided into three sections based on the accelerometer signal, which are rapidly increased section (W1), hardly changed section (W2), and decreased section (W3). Each weight is set aside for each section. To evaluate this algorithm, ten healthy adult males were participated. The correlation and Root Mean Square Error between the proposed algorithm and the reference were compared, and shown to be r=0.88 and 2.82 bpm, respectively. These results show that the proposed blending algorithm of dual sensors enables proper tracking of the heart rate during exercise. Also, it shows the possibility that the proposed blending algorithm can be applied to improve quality of life of the chronotropic incompetence patient.

• 한국정보통신학회논문지
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• 제13권8호
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• pp.1673-1678
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• 2009

한 번의 전송으로 다수의 단말기에 데이터를 전송할 수 있는 멀티캐스트 전송기법은 무선 네트워크의 효율성을 증대시킨다. 하지만 멀티캐스트의 전송률은 고정되어 있어서 효율성이 최적화 되어 있지 않다. 본 논문에서는 무선네트워크에서 다중 전송에 사용되는 멀티캐스트의 전송률을 적응적으로 제어하는 방법을 제안한다. 제안하는 방법에서 각 단말기는 고유한 서브캐리어를 할당받고, 이 서브캐리어를 사용하여 채널 상태를 송신기에게 알려준다. 송신기는 이러한 피드백 정보를 사용하여 최적의 전송률을 사용할 수 있게 된다. 이러한 전송률 제어기법을 사용하게 되면, 시스템 성능 향상을 이룰 수 있게 된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권6호
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• pp.2144-2159
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• 2015

CISCO VNI predicted an average annual growth rate of 66% for mobile video traffic between 2014 and 2019 and accordingly much academic research related to video streaming has been initiated. In video streaming, Adaptive Bitrate (ABR) is a streaming technique in which a source video is stored on a server at variable encoding rates and each streaming user requests the most appropriate video encoding rate considering their channel capacity. However, these days, ABR related studies are only focusing on real-time rate adaptation omitting energy efficiency though it is one of the most important requirement for mobile devices, which may cause dissatisfaction for streaming users. In this paper, we propose an energy efficient prefetching based dynamic adaptive streaming technique by considering the limited characteristics of the batteries used in mobile devices, in order to reduce the energy waste and provide a similar level of service in terms of the average video rate compared to the latest ABR streaming technique which does not consider the energy consumption. The simulation results is showing that our proposed scheme saves 65~68% of energy at the average global mobile download speed compared to the latest high performance ABR algorithm while providing similar rate adaptation performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.2998-3017
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• 2018

Massive (large-scale) MIMO (multiple-input multiple-output) is one of the key technologies in next-generation wireless communication systems. This paper proposes a high-performance low-complexity turbo receiver for SC-FDMA (single-carrier frequency-division multiple access) based MMIMO (massive MIMO) systems. Because SC-FDMA technology has the desirable characteristics of OFDMA (orthogonal frequency division multiple access) and the low PAPR (peak-to-average power ratio) of SC transmission schemes, the 3GPP LTE (long-term evolution) has adopted it as the uplink transmission to meet the demand high data rate and low error rate performance. The complexity of computing will be increased greatly in base station with massive MIMO (MMIMO) system. In this paper, a low-complexity adaptive turbo equalization receiver based on normalized minimal symbol-error-rate for MMIMO SC-FDMA system is proposed. The proposed receiver is with low complexity than that of the conventional turbo MMSE (minimum mean square error) equalizer and is also with better bit error rate (BER) performance than that of the conventional adaptive turbo MMSE equalizer. Simulation results confirm the effectiveness of the proposed scheme.

• 대한전자공학회논문지SP
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• 제42권1호
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• pp.101-108
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• 2005

적응 CFAR(Constant False Alarm Rate) 알고리즘은 클러터 배경 환경에서 일정한 오경보 율을 유지하면서 탐지확률을 높이기 위해 사용된다. 특히 공간 상관관계, 크기 편차가 큰 비 균일한 클러터 환경에서 탐지성능을 향상시키기 위해서는 공간변화에 적응적인 필터링 기법이 요구된다. 본 논문에서는 클러터 배경추정을 위해 이차원적으로 영역을 구분하여 대표 추정 값을 구하고, 보간(interpolation) 필터를 이용하여 최종 추정 값을 결정하는 이차원 블록 보간(Two-dimensional Block Interpolation : TBI) 적응 CFAR 알고리즘을 제안한다. 제안한 방법은 부분영역의 히스토그램 분포 중앙값을 영역 추정 값으로 선택함으로 불규칙 간섭신호 제거에 효과적이며, 블록 노드 추정 값을 이용하여 각 셀에 대한 최종 추정 값을 얻는 방식을 취함으로 인해 거리 셀 수가 많고, 고도 빔 수가 많은 시스템에서 클러터 필터링에 필요한 메모리 공간을 줄이는데 이점이 있다. 컴퓨터 모의실험을 통해 기존의 트랜스버설(transversal) 방식, 회귀(recursive)방식의 적응 CFAR 알고리즘과 탐지성능, 필요메모리 측면에서 성능을 비교하여 제안한 방법의 우수성을 확인한다.

• 대한기계학회논문집B
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• 제40권8호
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• pp.535-542
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• 2016

본 연구에서는 차량용 슈퍼차져의 원심압축기 출구 공기 유량을 제어하기 위한 모델 기반 적응 제어기를 설계하였다. 원심압축기 모델은 운전 동특성을 확인할 수 있는 해석적 기반으로 개발하였으며, 개발된 모델은 실험과의 검증을 통해 타당성을 확인하였다. 모델 기반 적응제어는 압축기 모델과 적응 제어기로 구성되었다. 피드백 제어는 시스템 파라미터의 변화에 견실 제어가 가능하지 않지만, 적용된 적응 제어는 시스템 파라미터의 변화에 견실 제어가 가능하다. 결론적으로, 모델 기반 제어는 제어 요구 유량에 제어가 이루어지며, 또한 시스템 파라미터가 변화해도 피드백 제어에 비해 견실한 제어가 이루어지는 것을 확인할 수 있다.

• 대한전자공학회논문지TC
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• 제48권3호
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• pp.13-18
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• 2011

SD(Sphere Decoding)는 페이딩 환경에서 ML(Maximum Likelihood)성능을 만족하지만 채널환경이 나빠질수록 매우 복잡도가 증가하는 단점이 있다. 본 논문에서는 이러한 특징을 같은 기존 SD를 개선하고자 기존의 ML성능을 유지 시키면서 복잡도를 줄이기 위한 방안으로 부분적으로 OSIC(Ordered Successive Interference Cancellation)를 결합하는 시스템을 제안하다. 또한, SNR(신호 대 잡음비: Signal to Noise Ratio)에 따라서 복잡도 및 비트오류율(BER : Bit Error Rate)의 성능이 최적으로 동작하는 복호기를 적응적으로 사용 Adaptive OSIC-SD 알고리즘 제안한다. 모의실험 결과, 제안된 시스템의 비트오류율은 기존의 SD와 거의 비슷한 성능을 보이면서, 일정하고 더 낮은 복잡도를 보이는 것을 확인할 수 있었다.