• Proceedings of the Korean Information Science Society Conference
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• 2001.10c
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• pp.130-132
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• 2001

멀티미디어 통신을 위한 계층형 멀티캐스트를 무선 환경으로 화장할 때에는 무선 네트워크의 낮은 대역폭에 의한 네트워크 혼잡 및 핸드오프에 의한 전송률 불안정 현상이 나타나게 된다. 이러한 문제를 효과적이고 능동적으로 해결하기 위해 본 논문에서는이동 지원국 (MSS) 을 이용한 능동적인 전송률 조절 기법과 우선 순위에 따른 패킷 누락 기법을 제안한다. MSS는 네트워크 계층의 전송 큐 사용량을 통해 현재의 네트워크 상태를 파악해, 네트워크 혼잡 시 이동 호스트(MH)의 가입 실험 (Join-experiment) 을 막거나 수신 계층의 제거를 종용할 수 있다. 그리고 MSS에서 직접 계층별 우선 순위를 부여함으로써 핸드오프에 의한 전송량 불안정성 및 대역폭 분배 불공평성을 해결하고자 한다.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2824-2826
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• 2002

Immune system is an evolutionary biological system to protect innumerable foreign materials such as virus, germ cell, and etcetera. Immune algorithm is the modeling of this systems response that has adaptation and reliability when disturbance occur. In this paper, immune algorithm is proposed to control four wheels steering AGV(Automated Guided Vehicle) in container yard. The adaptive immune system is applied to the PID controller. For design the PID controller using immune algorithm, we tune PID parameters by off-line manner, in order to avoid the damage from abrupt control force. Repeatedly, the PID parameters are adjusted to be accurate by on-line fine tuner of immune algorithm. And then the computer simulation result from the viewpoint of yaw rate and lateral displacement are analyzed and compared with result of conventional PID controller.

• Journal of Medicine and Life Science
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• v.16 no.3
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• pp.60-63
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• 2019

The rate of suicide is the 5th leading cause of death in Korea. Moreover, suicide is the 1st cause of death in from 2nd to 4th decade. In order to treat suicide attempters who have visited the emergency room and to prevent retries, it is necessary to understand the nature of the suicide and to take the right approach. Suicide is more than doubled in women, and retry rates are high among patients with a history of suicide. Suicidal means are throat, fall, gas poisoning, poisoning and drowning. All suicide attempters should suspect and treat cervical spine injury and airway management, and rapid hyperbaric oxygen therapy is recommended for carbon monoxide addicts. Interviewing a suicide attempter requires a sympathetic attitude and examines the underlying depression or adaptation disorders. Interdisciplinary care with mental health departments is necessary, and interventions in emergency roombased suicide attempt management work can be helpful to connect with the community.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.885-886
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• 2006

The purpose of this study is to develop the optimal system(AAC device), which helps a person with a profound communication disorder to communicate with other people. Therefore, this system includes the user interface enhancement that is the user adaptation mode algorithm. The symbol is made with a text and an icon which is converted into Korean. The message contiol operates scanning and adjusts rate control of row-column scanning and linear scanning. This embedded system includes voice input/output and voice recording as well suggested method that could apply optimal device access algorithm from clinical environment. Therefore, we are experting that even the current system itself will be able to improve the life quality of people who need to communicate with the help of devices.

• Journal of Industrial Technology
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• v.27 no.A
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• pp.131-139
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• 2007

The recent advance in wireless network technologies has enabled the streaming media service on the mobile devices such as PDAs and cellular phones. Since the wireless network has low bandwidth channels and mobile devices are actually composed of limited hardware specifications, the transcoding technology is needed to adapt streaming media to given mobile devices. Futhermore owing to the diversity of bandwidth in the wireless network by reason of mobile users' movements and environments, it is difficult to provide stable QoS. In this paper, the autonomic multimedia transcoding system is proposed in order for users to provide network adaptive QoS. Our proposed system is based on the estimation of available bandwidth in wireless network for seamless multimedia streaming service. The proposed system is designed and implemented for various mobile clients. In experiments, we evaluate its seamless multimedia streaming and the adaptation transcoding bit rate according to the changes of bandwidth in wireless network.

• The KIPS Transactions:PartC
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• v.8C no.3
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• pp.327-334
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• 2001

네트워크를 설계하고 서비스를 구현하는데 있어서 중요한 변수중의 하나는 트래픽의 특성을 파악하는 것이다. 기존의 트래픽 예측과 분석은 포아송(Poisson) 또는 마코비안(Markovian)을 기본으로 하는 모델을 사용하였다. LAN, WAN 및 VBR(Variable Bit Rate) 트래픽 특성에 관한 최근의 실험적 연구들은 기존의 포아송 가정에 의한 모델들이 네트워크 트래픽의 장기간 의존성 및 self-similar 특성들을 과소평가 함으로써 실제 트래픽의 특성을 제대로 나타낼 수 없다는 것을 지적해 왔다. 따라서 최근 실제 트래픽 모델과 유사한 모델로서 self-similarity 특성을 이용한 접근법이 대두되고 있다. 본 논문에서는 self-similarity 트래픽의 정의에 대해서 논한다. 그리고 실제 트래픽을 수집하고, 인위적으로 self-similarity한 트래픽과 포아송 모델을 적용시킨 트래픽을 발생시켜 비교한 다음 ATM 스위치의 큐(Queue)에 적용하였다. 본 논문에서는 ATM 스위치의 큐에 self-similarity 트래픽을 적용했을 경우 low bound상에서 버퍼 오버플로우 확률 및 셀 손실 확률에 대해 평가하였다.

• Journal of the Korean Society of Physical Medicine
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• v.4 no.4
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• pp.241-247
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• 2009

Purpose：The purpose of this study is to investigate the effect of transcutaneous electrical stimulation on autonomic nervous system using heart rate variability analysis. Methods：31 subjects were evaluated with HRV before and after a single high-frequency TENS for 15minutes treatment. The standard deviation of all the normal RR-interval(SDNN) and lower frequency/high frequency ratio(LF/HF ratio) were recorded with TAS-9. Results：After single TENS treatment, autonomic adaptation as analyzed by SDNN was increased from $42.47\pm12.96$ to $4.43\pm16.76$(p>0.05) and autonomic balance as analyzed by LF/HF ratio was increased from $1.4\pm0.45$ to $1.45\pm0.41$(p>0.05). Conclusion：In this study, SDNN and LF/HF ratio changed in health young students as a result of single TENS treatment. But there is no significant difference between pre-treatment and post-treatment of SDNN and LF/HF ratio.

• Molecules and Cells
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• v.42 no.4
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• pp.285-291
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• 2019

Eukaryotic cells use conserved quality control mechanisms to repair or degrade defective proteins, which are synthesized at a high rate during proteotoxic stress. Quality control mechanisms include molecular chaperones, the ubiquitin-proteasome system, and autophagic machinery. Recent research reveals that during autophagy, membrane-bound organelles are selectively sequestered and degraded. Selective autophagy is also critical for the clearance of excess or damaged protein complexes (e.g., proteasomes and ribosomes) and membrane-less compartments (e.g., protein aggregates and ribonucleoprotein granules). As sessile organisms, plants rely on quality control mechanisms for their adaptation to fluctuating environments. In this mini-review, we highlight recent work elucidating the roles of selective autophagy in the quality control of proteins and RNA in plant cells. Emphasis will be placed on selective degradation of membrane-less compartments and protein complexes in the cytoplasm. We also propose possible mechanisms by which defective proteins are selectively recognized by autophagic machinery.

• Annual Conference of KIPS
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• 2023.05a
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• pp.377-379
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• 2023

Concept drift detection on data stream is the major issue to maintain the performance of the machine learning model. Since the online stream is to be a function of time, the classical statistic methods are hard to apply. In particular case of seasonal time series, a novel window strategy with Fourier analysis however, gives a chance to adapt the classical methods on the series. We explore the KS-test for an adaptation of the periodic time series and show that this strategy handles a complicate time series as an ordinary tabular dataset. We verify that the detection with the strategy takes the second place in time delay and shows the best performance in false alarm rate and detection accuracy comparing to that of arbitrary window sizes.

• ETRI Journal
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• v.45 no.5
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• pp.811-821
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• 2023

We propose an adaptive unmanned aerial vehicle (UAV)-assisted object recognition algorithm for urban surveillance scenarios. For UAV-assisted surveillance, UAVs are equipped with learning-based object recognition models and can collect surveillance image data. However, owing to the limitations of UAVs regarding power and computational resources, adaptive control must be performed accordingly. Therefore, we introduce a self-adaptive control strategy to maximize the time-averaged recognition performance subject to stability through a formulation based on Lyapunov optimization. Results from performance evaluations on real-world data demonstrate that the proposed algorithm achieves the desired performance improvements.