• 대한정형도수물리치료학회지
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• 제22권1호
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• pp.59-64
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• 2016

Background: This study was to investigate the effect of cervical HVLA technique and mulligan MWM technique on patients with lateral epicondylitis. Methods: 36 participants were randomly allocated to the two groups; group I involved high velocity low amplitude (HVLA) cervical mobilization technique, mulligan mobilizations with movement (MWM) technique (n=18). group II mulligan MWM (n=18). Patient attended for three times a week for six weeks. Results: The change of visual analogue scale (VAS) was statistically and significantly decreased in both of the group I and the group II. The change of patients rated tennis elbow evaluation (PRTEE) was statistically and significantly decreased in both of the group I and the group II. The change of pressure pain threshold (PPT) was statistically and significantly increased in both of the group I and the group II. Nevertheless, There is no statistical differences between group I and group II. Conclusion: After experiment, pressure pain threshold and visual analogue scale, patients rated tennis elbow evaluation were improved in both group. But Cervical HVLA group does not showed the change better than mulligan MWM group.

• 한국산학기술학회논문지
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• 제11권10호
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• pp.3950-3957
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• 2010

무선 센서 네트워크는 한정된 자원의 센서 노드들로 구성되어 있고, 한번 구성된 후에는 유지 보수가 어렵다는 단점을 갖고 있다. 따라서 무선 센서 네트워크에서는 에너지 소비를 최소화하고, 한정된 자원을 효율적으로 사용하여 네트워크 수명을 최대화하는 것이 중요한 문제이다. 본 논문에서는 클러스터링 방식에서 클러스터 수를 효율적으로 지정하여 에너지 소모량을 최적화하는 기법을 제안한다. 이 기법은 무선 전송에 소비되는 에너지양은 거리(임계값)에 따라 많은 차이가 있으므로 이러한 임계값을 고려하여 클러스터 수를 지정함으로써 에너지 소비를 줄이는 방식이다. 실험을 통하여 제안된 클러스터링 기법은 LEACH(Low-Energy Adaptive Clustering Hierarchy)에 비해 전체 에너지 소모량 측면에서 높은 성능을 나타냄을 확인하였다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2012년도 추계학술대회
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• pp.259-262
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• 2012

In this paper, we propose a new fast algorithm for effective scene change detection. The proposed algorithm exploits Otsu threshold matching technique, which was proposed earlier. In this method, the current and the reference frames are divided into square blocks of particular size. After doing so, the pixel histogram of each block is generated. According to Otsu method, every histogram distribution is assumed to be bimodal, i.e. pixel distribution can be divided into two groups, based on within-group variance value. The pixel value that minimizes the within-group variance is said to be Otsu threshold. After Otsu threshold is found, the same procedure is performed at the reference frame. If the difference between Otsu threshold of a block in the current frame and co-located block in the reference frame is larger than predefined threshold, then a scene change between those two blocks is detected.

• 대한전자공학회논문지TC
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• 제40권6호
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• pp.213-224
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• 2003

제안된 알고리듬은 채널 잡음전력에 따라 적응적으로 문턱값 레벨을 결정하는 적응 문턱값 설정방식을 사용하여 채널특성에 관계없이 항상 최적의 문턱값을 설정한다. 또한, 이것은 그 추정성능이 다중경로채널에서의 전력지연 프로파일 변동에 대해 덜 민감하도록 만드는 특별하게 설계된 훈련심볼을 사용한다. 그 결과, 제안된 기법의 추정성능은 채널특성 변동에 대해 영향을 적게 받는다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제8권3호
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• pp.221-226
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• 2008

A new two dimensional (2-D) analytical model for the Threshold Voltage on dual material surrounding gate (DMSG) MOSFETs is presented in this paper. The parabolic approximation technique is used to solve the 2-D Poisson equation with suitable boundary conditions. The simple and accurate analytical expression for the threshold voltage and sub-threshold swing is derived. It is seen that short channel effects (SCEs) in this structure is suppressed because of the perceivable step in the surface potential which screens the drain potential. We demonstrate that the proposed model exhibits significantly reduced SCEs, thus make it a more reliable device configuration for high speed wireless communication than the conventional single material surrounding gate (SMSG) MOSFETs.

• 한국통신학회논문지
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• 제21권7호
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• pp.1803-1813
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• 1996

This paper describes an automatic threshold decision using a maximum mismatched correlation value in the direct sequence spread spectrum (DS-SS) system. For received PN codes with different single-to-noise ratio (SNR), this scheme is able to detect a desired threshold value in the search mode, i.e. a maximum mismstched correlation value, so that value is utilized as a threshold for the verification mode. Performance of the proposed scheme in both the additive white gaussian noise (AWGN) and frequency-selective Rayleigh fading channels is analyzed through the Monte Carlo simulation. And hardware implementation of this scheme using a DSP processor is demonstrated. The proposed acquisition shceme is compared to the conventional constant threshold (CT) scheme, and significant improvement of performance is shown. Analysis of system performance in the verification mode is presented, and key quantities such as the false alarm probability and the detection probability are derived in a AWGN channel.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.334-349
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• 2022

The effectiveness of Wi-Fi networks is greatly influenced by the optimization of contention window (CW) parameters. Unfortunately, the conventional approach employed by IEEE 802.11 wireless networks is not scalable enough to sustain consistent performance for the increasing number of stations. Yet, it is still the default when accessing channels for single-users of 802.11 transmissions. Recently, there has been a spike in attempts to enhance network performance using a machine learning (ML) technique known as reinforcement learning (RL). Its advantage is interacting with the surrounding environment and making decisions based on its own experience. Deep RL (DRL) uses deep neural networks (DNN) to deal with more complex environments (such as continuous state spaces or actions spaces) and to get optimum rewards. As a result, we present a new approach of CW control mechanism, which is termed as contention window threshold (CW_Threshold). It uses the DRL principle to define the threshold value and learn optimal settings under various network scenarios. We demonstrate our proposed method, known as a smart exponential-threshold-linear backoff algorithm with a deep Q-learning network (SETL-DQN). The simulation results show that our proposed SETL-DQN algorithm can effectively improve the throughput and reduce the collision rates.

• ETRI Journal
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• 제35권5호
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• pp.757-766
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• 2013

This paper deals with the estimation of the time of arrival (TOA) of ultra-wideband signals under IEEE 802.15.4a channel models. The proposed approach is based on a randomness test and consists of determining whether an autoregressive (AR) process modeling an energy frame is random or not by using a distance to measure the randomness. The proposed method uses a threshold that is derived analytically according to a preset false alarm probability. To highlight the effectiveness of the developed approach, simulation setups as well as real data experiments are conducted to assess the performance of the new TOA estimation algorithm. Thereby, the proposed method is compared with the cell averaging constant false alarm rate technique, the threshold comparison algorithm, and the technique based on maximum energy selection with search back. The obtained results are promising, considering both simulations and collected real-life data.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.571-574
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• 2005

In this paper, we propose an efficient image segmentation technique for large-sized monochrome images using a hybrid approach which combines threshold and region-based techniques. First, an image is partitioned into fixed-size blocks and for each block the representative intensity is determined by averaging pixel intensities within the block. Next, the neighborhood blocks that have similar characteristics with respect to a specific threshold are merged in order to form candidate regions. Finally, those candidate regions are refined to get final target object regions by merging regions considering the spatial locality and certain criteria. We have performed experiments on images selected from various domains and showed that our technique was able to extract target object regions appropriately from most images.

• 지구물리
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• 제2권2호
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• pp.143-152
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• 1999

지구 물리 자료의 질을 높이기 위한 전처리 과정에서 웨이브렛 변환을 도입하여 잡음을 제거하는 기법에 관한 연구를 수행하였다. 이 기법의 효율성을 평가하기 위하여 합성자료를 이용하여 저역통과 필터링과 웨이브렛 변환을 통한 잡음 제거 결과를 비교하였다. 저역통과 필터링한 삼각함수 신호는 샘플링 구간에서 신호 양단의 차이에 기인하는 깁스 현상에 의해 오차가 나타났고, 범프 신호는 고주파 성분이 소멸되어 피크가 나타나는 부근에서 큰 오차가 발생하였다. 웨이브렛 변환을 이용한 잡음 제거에서는 시간 영역에서의 국부성과 웨이브렛 변환 영역에서의 신호와 무작위 잡음이 구분 가능하다는 특성을 이용함으로써 잡음을 효과적으로 제거할 수 있었다. 실측된 기조력 자료는 계기 보정 후 Soft threshold를 통해 잡음이 효과적으로 제거됨을 보였고, 이를 이론 기조력 값과 비교하여 G-인자를 계산하였다.