• Title/Summary/Keyword: Network Enhancement

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A Study on the Capacity Enhancement of HDR-WPAN System (HDR-WPAN 시스템의 용량증대 방안 연구)

  • Kang Chul-Gyu;Oh Yong-Taek;Kim Jae-Young;Cho Sung-Eon;Oh Chang-Heon
    • Journal of Digital Contents Society
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    • v.5 no.4
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    • pp.306-310
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    • 2004
  • In this paper, we proposed a capacity enhancement method using TCM-128QAM modulation and bandwidth extension of 25MHz in HDR-WPAN (high data rate wireless personal area network) system. In case using TCM-128 QAM modulation scheme, we can obtain maximum 66Mbps transmission rate in bandwidth of 15MHz. If extend bandwidth by 25MHz and roll-off coefficient ${\alpha}=0.35$, we can obtain maximum 110Mbps transmission rate. These results are confirmed through PSD(power spectrum density) analysis and BER (bit error rate) performance.

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Speech Enhancement using the Neural Network Filter (신경망필터를 이용한 음질향상)

  • 김종우;공성곤
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.05a
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    • pp.102-105
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    • 2000
  • 본 논문에서는 잡음환경에서의 음성신호복원(Speech Enhancement) 시스템 구현을 목적으로 한다 이를 위한 적응필터로서 LMS(Least Mean Square)알고리즘 FIR필터를 제안한다. 또 정밀 필터로서 신경망 필터를 제안한다. 잡음환경에서의 음성신호 복원 시스템은 잡음에 의해 왜곡된 음성신호에서 잡음성분만을 제거함으로써 음성신호를 복원하는 시스템이다. 일반적으로 잡음은 시변특성과, 비선형적인 전달특성을 갖는다. 그러므로 파라미터가 고정된 필터로는 제어하기가 힘들다. 이러한 이유로 본 논문에서는 LMS알고리즘 적응필터를 적용한다. 신경망 필터는 오차 역전파 학습 알고리즘에 의해 오차를 최소화하는 방향으로 필터의 파라미터를 수정한다. 제안한 필터로 잡음환경에서의 음성신호복원 시스템을 구성하고, 실험을 통해 필터의 성능을 확인한다.

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TCP Accelerator for DVB-RCS SATCOM Dynamic Bandwidth Environment with HAIPE

  • Kronewitter, F. Dell;Ryu, Bo;Zhang, Zhensheng;Ma, Liangping
    • Journal of Communications and Networks
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    • v.13 no.5
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    • pp.518-524
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    • 2011
  • A high assurance IP encryption (HAIPE) compliant protocol accelerator is proposed for military networks consisting of red (or classified) networks and black (or unclassified) networks. The boundary between red and black sides is assumed to be protected via a HAIPE device. However, the IP layer encryption introduces challenges for bandwidth on demand satellite communication. The problems experienced by transmission control protocol (TCP) over satellites are well understood: While standard modems (on the black side) employ TCP performance enhancing proxy (PEP) which has been shown to work well, the HAIPE encryption of TCP headers renders the onboard modem's PEP ineffective. This is attributed to the fact that under the bandwidth-on-demand environment, PEP must use traditional TCP mechanisms such as slow start to probe for the available bandwidth of the link (which eliminates the usefulness of the PEP). Most implementations recommend disabling the PEP when a HAIPE device is used. In this paper, we propose a novel solution, namely broadband HAIPE-embeddable satellite communications terminal (BHeST), which utilizes dynamic network performance enhancement algorithms for high latency bandwidth-on-demand satellite links protected by HAIPE. By moving the PEP into the red network and exploiting the explicit congestion notification bypass mechanism allowed by the latest HAIPE standard, we have been able to regain PEP's desired network enhancement that was lost due to HAIPE encryption (even though the idea of deploying PEP at the modem side is not new). Our BHeST solution employs direct video broadcast-return channel service (DVB-RCS), an open standard as a means of providing bandwidth-on-demand satellite links. Another issue we address is the estimation of current satellite bandwidth allocated to a remote terminal which is not available in DVBRCS. Simulation results show that the improvement of our solution over FIX PEP is significant and could reach up to 100%. The improvement over the original TCP is even more (up to 500% for certain configurations).

A Study on the Type of and Barriers to Social Network Interventions : Cases of the Social Workers in the Domiciliary Service Centers (사회적 관계망 개입의 유형과 장애요인 연구 : 지역사회복지관 재가복지센터를 중심으로)

  • Kim, In-Sook;Woo, Kug-Hee
    • Korean Journal of Social Welfare
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    • v.43
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    • pp.7-41
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    • 2000
  • This study attempted to identify the type of social network interventions and barriers to implement them. Few empirical studies have been conducted concerning social network interventions as professional activities. Although social support and social network interventions have been noted as important practice concepts, the existing studies ten us little about how social workers perceive and experience social network interventions. This study used seven types of social network interventions identified in the previous studies. And based on "obstacles to social network interventions scale" developed by Biegel, Tracy & Song (1995), a twenty-two item scale was developed by the authors. The results from this study show that social workers little implement social network interventions such as community empowerment, family caregiver enhancement, and support group, and that they perceive organization characteristics and profession-oriented culture as important obstacles to implement social network interventions. The findings from this study suggest various strategies to address these barriers.

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Optimal synthesis and design of heat transfer enhancement on heat exchanger networks and its application

  • Huang, Zhao-qing
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.376-379
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    • 1996
  • Synthesis for qualitative analysis in connection with quantitative analysis from the pinch design method, EVOP and Operations Research is proposed for the optimal synthesis of heat exchanger networks, that is through of the transportation model of the linear programming for synthesizing chemical processing systems, to determine the location of pinch points, the stream matches and the corresponding heat flowrate exchanged at each match. In the second place, according to the optimization, the optimal design of heat transfer enhancement is carried on a fixed optimum heat exchanger network structure, in which this design determines optimal operational parameters and the chosen type of heat exchangers as well. Finally, the method of this paper is applied to the study of the optimal synthetic design of heat exchanger network of constant-decompress distillation plants.

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Enhancement of QRS Complex using a Neural Network based ALE (신경망 ALE를 사용한 QRS complex의 증대)

  • 최한고;심은보
    • Journal of Biomedical Engineering Research
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    • v.21 no.5
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    • pp.487-494
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    • 2000
  • 본 논문에서는 배경잡음이 섞여 있는 QRS 파의 증대를 위해 신경망에 근거한 적응라인증대기(ALE) 적용을 다루고 있다. Elman과 Jordan RNN 구조의 합성형태를 갖는 수정된 완전연결 리커런트 신경망이 ALE의 비션형 적응필터로 사용되고 있다. 신경망 노드사이의 연결계수와 이득, 기울기, 지연과 같은 노드 활성함수의 변수들이 기울기 강하 알고리즘을 사용하여 학습이 반복될 때마다 갱신된다. 수정된 신경망은 먼저 미지의 선형과 비선형 시스템 identification을 수행함으로써 평가하였다. 그리고 미약한 QRS를 증대시키기 위해서 적당한 크기의 잡음과 매우 심한 잡음이 포함된 실제의 ECG 신호를 비선형 신경망 적응필처를 사용하는 ALE에 입력하였다. 수정된 신경망은 시스템 identification에 사용하기가 적합함을 확인하였으며, 시뮬레이션 결과에 의하면 신경망 ALE는 잡음 ECG 신호로부터 QRS 파를 증대를 잘 수행하였다.

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Deep Network for Detail Enhancement in Image Denoising (영상 잡음 제거에서의 디테일 향상을 위한 심층 신경망)

  • Kim, Sung Jun;Jung, Yong Ju
    • Journal of Korea Multimedia Society
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    • v.22 no.6
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    • pp.646-654
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    • 2019
  • Image denoising is considered as a key factor for capturing high-quality photos in digital cameras. Thus far, several image denoising methods have been proposed in the past decade. In addition, previous studies either relied on deep learning-based approaches or used the hand-crafted filters. Unfortunately, the previous method mostly emphasized on image denoising regardless of preserving or recovering the detail information in result images. This study proposes an detail extraction network to estimate detail information from a noisy input image. Moreover, the extracted detail information is utilized to enhance the final denoised image. Experimental results demonstrate that the proposed method can outperform the existing works by a subjective measurement.

Photorealistic Real-Time Dense 3D Mesh Mapping for AUV (자율 수중 로봇을 위한 사실적인 실시간 고밀도 3차원 Mesh 지도 작성)

  • Jungwoo Lee;Younggun Cho
    • The Journal of Korea Robotics Society
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    • v.19 no.2
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    • pp.188-195
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    • 2024
  • This paper proposes a photorealistic real-time dense 3D mapping system that utilizes a neural network-based image enhancement method and mesh-based map representation. Due to the characteristics of the underwater environment, where problems such as hazing and low contrast occur, it is hard to apply conventional simultaneous localization and mapping (SLAM) methods. At the same time, the behavior of Autonomous Underwater Vehicle (AUV) is computationally constrained. In this paper, we utilize a neural network-based image enhancement method to improve pose estimation and mapping quality and apply a sliding window-based mesh expansion method to enable lightweight, fast, and photorealistic mapping. To validate our results, we utilize real-world and indoor synthetic datasets. We performed qualitative validation with the real-world dataset and quantitative validation by modeling images from the indoor synthetic dataset as underwater scenes.

Enhancement of Hearability in Geolocation Using Mobile WiMAX Network with Interference Cancellation and Long Integration (간섭 상쇄 기법과 장기 누적 기법을 이용한 WiBro 지상파 측위 시스템의 가청성 향상)

  • Park, Ji-Won;Lim, Jeong-Min;Sung, Tae-Kyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.4
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    • pp.375-383
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    • 2012
  • Together with the GPS-based approach, geolocation through mobile communication networks is a key technology for location-based service. Since the Mobile WiMAX system is considered as a candidate for fourth-generation mobile systems, it is important to investigate its location capability. The geolocation of Mobile WiMAX can be realized when the preamble symbols in the down-link channel are appropriately used for a TDOA (Time-Difference-of-Arrival) approach. However, the cellular structure of Mobile WiMAX inevitably generates co-channel interference, and it is difficult for the mobile terminal to acquire distance measurements from multiple base stations. Therefore, for geolocation via multilateration using the Mobile WiMAX network, it is very important to increase hearability. This paper proposes a geolocation method for Mobile WiMAX which employs interference cancellation and preamble signal overlapping for the enhancement of hearability. A novel interference cancellation strategy for complex-valued Mobile WiMAX signals is presented which has an iterative structure. Simulation results show that the proposed geolocation method provides the user's position with an accuracy of less than 20 m through the Mobile WiMAX cellular network if there is no multi-path or NLOS (None-Line-of-Sight).