• Title/Summary/Keyword: Soft-Threshold

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Dynamic Threshold-Based Multicast Scheme for N-Screen Services in Indoor and Ship Area Networks (선박 및 실내 N-스크린 서비스를 위한 동적 Threshold 기반 멀티캐스트 기술)

  • Hur, Kyeong;Lee, Seong Ro
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.7
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    • pp.1369-1376
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    • 2015
  • A wireless bridge is essential to transmit control and managing information to sensors or instruments from a central integrated ship area network station. In this paper, a WiMedia Distributed-MAC(D-MAC) protocol is adopted for development of a seamless N-Screen wireless service in Indoor and Ship Area Networks. Furthermore, to provide the OSMU(One Source Multi Use) N-screen service through P2P streaming in the seamless D-MAC protocol, a Dynamic Threshold-based Multicast(DTM) technology is proposed and analyzed. For this technology, a new Hard/Soft Vertical Region(HVR-SVR) based time slot allocation and a multicast resource reservation scheme are combined. From simulation results, proposed DTM scheme expands the number of time slots available for unicast and multicast realtime N-Screen reservations with various service time interval requests. Furthermore, it enhances performances in vewpoints of realtime N-Screen data reservation conflict and throughput.

Optimal Strategies for Cooperative Spectrum Sensing in Multiple Cross-over Cognitive Radio Networks

  • Hu, Hang;Xu, Youyun;Liu, Zhiwen;Li, Ning;Zhang, Hang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.12
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    • pp.3061-3080
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    • 2012
  • To improve the sensing performance, cooperation among secondary users can be utilized to collect space diversity. In this paper, we focus on the optimization of cooperative spectrum sensing in which multiple cognitive users efficiently cooperate to achieve superior detection accuracy with minimum sensing error probability in multiple cross-over cognitive radio networks. The analysis focuses on two fusion strategies: soft information fusion and hard information fusion. Under soft information fusion, the optimal threshold of the energy detector is derived in both noncooperative single-user and cooperative multiuser sensing scenarios. Under hard information fusion, the optimal randomized rule and the optimal decision threshold are derived according to the rule of minimum sensing error (MSE). MSE rule shows better performance on improving the final false alarm and detection probability simultaneously. By simulations, our proposed strategy optimizes the sensing performance for each cognitive user which is randomly distributed in the multiple cross-over cognitive radio networks.

Changes in Electrical TAste Threshold with Advancing Age in Korea (한국인에 있어서 연령증가에 따른 미각의 변화)

  • 박성근;김선희;기우천;최재갑
    • Journal of Oral Medicine and Pain
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    • v.23 no.4
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    • pp.327-341
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    • 1998
  • Aims : The purpose of this study was to investigate whether there are any changes in taste sensitivity with advancing age and to see if smoking or oral hygiene can affect the taste sensitivity. Method : Nine hundred and thirty four subjects(458 male and 476 females) were included for the study and they were categorized into 4 age groups( under 20, 20 to 39, 40 to 59, and over 60 age group ). The electrical taste thresholds were measured using an electrogustometer for the 4 different sites in the oral cavity, I.e., tongue tip, tougue alteral, circumvallate papilla, and soft palate. Results : The elctrical taste thresholds were significantly incresed with advancing age in both gender, but the pattern of change is moere abrupt in female after 40. There were not significant differences in electrical taste threshold between smoking and non-smoking people. Taste thresholds were significantly lower in the groups with higher frequency of daily toothbrushing than the groups with lower frequency Conclusion : The electrical taste threshold is increased with aging. It is not influenced by smoking but by toothbrushing.

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Study on Flexural Damage of FRP Laminates (FRP 적층판의 휨 손상에 관한 연구)

  • Park, Sung-Jin
    • Journal of Urban Science
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    • v.6 no.2
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    • pp.49-57
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    • 2017
  • A new Fiber Bragg Grating (FBG) wavelength demodulation scheme is studied in the paper, which consists of an improved de-noising method and Gaussian fitting peak searching algorithm. The improved translational invariant wavelet without threshold adjust factor is proposed to get a better de-noising performance for FBG sensor signal and overcome the drawbacks of soft or hard threshold wavelets. In order to get a high wavelength demodulation precision of FBG sensor signal, this de-noising method is designed to combine with Gaussian fitting peak searching algorithm. The simulation results show that the wavelength maximum measurement error is lower than 1pm, and can get a much higher accuracy.

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Performance Analysis of a Novel CDMA Soft Handoff Algorithm Using Mobile Terminal Profiles (단말의 프로필을 이용한 새로운 CDMA 소프트 핸드오프 알고리즘의 성능 분석)

  • 정다위
    • Journal of the Korea Society for Simulation
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    • v.7 no.2
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    • pp.153-165
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    • 1998
  • In the Is-95 soft handoff scheme of CDMA, there occurs a tradeoff between improving quality due to the space diversity and additional resource management like updates of the active set during soft handoffs. In addition, if a mobile terminal is alternating two adjacent cells, a well-known phenomenon called ping-ping causes the resource management to be seriously degraded. By noting that in general the probability that a user initiates additional handoffs is exponentially decreased as the user has already handed over one or more times, we present a soft handoff algorithm making use of handoff profiles of mobile terminals to improve resource utilization. In the proposed algorithm the number of handoffs made so far during the call is recorded in the mobile profile and the profile data is used for adjusting handoff parameters such as the value of add or drop threshold (T_ADD or T_DROP). Through simulations, the result of the proposed algorithm is shown to improve the handoff performance by lowering the number of handoffs while simultaneously reducing resource waste.

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Dead Pixel Detection Method by Different Response at Hot & Cold Images for Infrared Camera

  • Ye, Seong-Eun;Kim, Bo-Mee
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.11
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    • pp.1-7
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    • 2018
  • In this paper, we propose soft dead pixels detection method by analysing different response at hot and cold images. Abnormal pixels are able to effect detecting a small target. It also makes confusing real target or not cause of changing target size. Almost exist abnormal pixels after image signal processing even if dead pixels are removed by dead pixel compensation are called soft dead pixels. They are showed defect in final image. So removing or compensating dead pixels are very important for detecting object. The key idea of this proposed method, detecting dead pixels, is that most of soft deads have different response characteristics between hot image and cold image. General infrared cameras do NUC to remove FPN. Working 2-reference NUC must be needed getting data, hot & cold images. The way which is proposed dead pixel detection is that we compare response, NUC gain, at each pixel about two different temperature images and find out dead pixels if the pixels exceed threshold about average gain of around pixels.

Characteristics of Engineered Soils (Engineered Soils의 특성)

  • Lee, Jong-Sub;Lee, Chang-Ho;Lee, Woo-Jin;Santamarina, J. Caries
    • Journal of the Korean Geotechnical Society
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    • v.22 no.8
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    • pp.129-136
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    • 2006
  • Engineered mixtures, which consist of rigid sand particles and soft fine-grained rubber particles, are tested to characterize their small and large-strain responses. Engineered soils are prepared with different volumetric sand fraction, sf, to identify the transition from a rigid to a soft granular skeleton using wave propagation, $K_{o}-loading$, and triaxial testing. Deformation moduli at small, middle and large-strain do not change linearly with the volume fraction of rigid particles; instead, deformation moduli increase dramatically when the sand fraction exceeds a threshold value between sf=0.6 to 0.8 that marks the formation of a percolating network of stiff particles. The friction angle increases with the volume fraction of rigid particles. Conversely, the axial strain at peak strength increases with the content of soft particles, and no apparent peak strength is observed in specimens when sand fraction is less than 60%. The presence of soft particles alters the formation of force chains. While soft particles are not part of high-load carrying chains, they play the important role of preventing the buckling of stiff particle chains.

A Study on the Denoising Method by Multi-threshold for Underwater Transient Noise Measurement (수중 천이소음측정을 위한 다중 임계치 잡음제거기법 연구)

  • 최재용;도경철
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.6
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    • pp.576-584
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    • 2002
  • This paper proposes a new denosing method using wavelet packet, to reject unknown external noise and white gaussian ambient noise for measuring the transient noise which is one of the important elements for ship classification. The previous denosing method applied the same wavelet threshold at each node of multi-single sensors for rejecting white noise is not adequate in the underwater environment existing lots of external noises. The proposed algorithm of this paper applies a modified soft-threshold to each node according to the discriminated threshold so as to reject unknown external noise and white gaussian ambient noise. It is verified by numerical simulation that the SNR is increased more than 25㏈. And the simulation results are confirmed through sea-trial using multi-single sensors.

Study on lowering the percolation threshold of carbon nanotube-filled conductive polypropylene composites

  • Park, Seung Bin;Lee, Moo Sung;Park, Min
    • Carbon letters
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    • v.15 no.2
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    • pp.117-124
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    • 2014
  • Conductive polymer composites (CPCs) consist of a polymeric matrix and a conductive filler, for example, carbon black, carbon fibers, graphite or carbon nanotubes (CNTs). The critical amount of the electrically conductive filler necessary to build up a continuous conductive network, and accordingly, to make the material conductive; is referred to as the percolation threshold. From technical and economical viewpoints, it is desirable to decrease the conductive-filler percolation-threshold as much as possible. In this study, we investigated the effect of polymer/conductive-filler interactions, as well as the processing and morphological development of low-percolation-threshold (${\Phi}c$) conductive-polymer composites. The aim of the study was to produce conductive composites containing less multi-walled CNTs (MWCNTs) than required for pure polypropylene (PP) through two approaches: one using various mixing methods and the other using immiscible polymer blends. Variants of the conductive PP composite filled with MWCNT was prepared by dry mixing, melt mixing, mechanofusion, and compression molding. The percolation threshold (${\Phi}c$) of the MWCNT-PP composites was most successfully lowered using the mechanofusion process than with any other mixing method (2-5 wt%). The mechanofusion process was found to enhance formation of a percolation network structure, and to ensure a more uniform state of dispersion in the CPCs. The immiscible-polymer blends were prepared by melt mixing (internal mixer) poly(vinylidene fluoride) (PVDF, PP/PVDF, volume ratio 1:1) filled with MWCNT.

Determination of Noise Threshold from Signal Histogram in the Wavelet Domain

  • Kim, Eunseo;Lee, Kamin;Yang, Sejung;Lee, Byung-Uk
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.2
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    • pp.156-160
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    • 2014
  • Thresholding in frequency domain is a simple and effective noise reduction technique. Determination of the threshold is critical to the image quality. The optimal threshold minimizing the Mean Square Error (MSE) is chosen adaptively in the wavelet domain; we utilize an equation of the MSE for the soft-thresholded signal and the histogram of wavelet coefficients of the original image and noisy image. The histogram of the original signal is estimated through the deconvolution assuming that the probability density functions (pdfs) of the original signal and the noise are statistically independent. The proposed method is quite general in that it does not assume any prior for the source pdf.