• Title/Summary/Keyword: Convergence Enhancement

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A New Least Mean Square Algorithm Using a Running Average Process for Speech Enhancement

  • Lee, Soo-Jeong;Ahn, Chan-Sik;Yun, Jong-Mu;Kim, Soon-Hyob
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.3E
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    • pp.123-130
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    • 2006
  • The adaptive echo canceller (AEC) has become an important component in speech communication systems, including mobile station. In these applications, the acoustic echo path has a long impulse response. We propose a running-average least mean square (RALMS) algorithm with a detection method for acoustic echo cancellation. Using colored input models, the result clearly shows that the RALMS detection algorithm has a convergence performance superior to the least mean square (LMS) detection algorithm alone. The computational complexity of the new RALMS algorithm is only slightly greater than that of the standard LMS detection algorithm but confers a major improvement in stability.

A Study of TCP Performance with Snoop Protocol over Fading Wireless Links

  • Cho, Yang-Bum;Cho, Sung-Joon
    • Journal of information and communication convergence engineering
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    • v.2 no.4
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    • pp.214-218
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    • 2004
  • In this paper, we have analyzed TCP performance over wireless correlated fading links with and without Snoop protocol. For a given value of the packet error rate, TCP performance without Snoop protocol is degraded as the fading is getting fast (i.e. the user moves fast). When Snoop protocol is introduced in the base station, TCP performance is enhanced in most wireless environments. Especially the performance enhancement derived from using Snoop protocol is large in fast fading channel. This is because packet errors become random and sporadic in fast fading channel and these random packet errors (mostly single packet errors) can be compensated efficiently by Snoop protocol's local packet retransmissions. But Snoop protocol can't give a large performance improvement in slow fading environments where long bursts of packet errors occur. Concerning to packet error rate, Snoop protocol results in the highest performance enhancement in the channel with mid-high values of packet error rate. This means Snoop protocol cannot fully fulfill its ability under too low or too high packet error rate environments.

Clustering Formation and Topology Control in Multi-Radio Multi-Channel Wireless Mesh Networks

  • Que, Ma. Victoria;Hwang, Won-Joo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.7B
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    • pp.488-501
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    • 2008
  • Convergence of various wireless systems can be cost effectively achieved through enhancement of existing technology. The emergence of Wireless Mesh Network (WMN) entails the interoperability and interconnection of various wireless technologies in one single system. Furthermore, WMN can be implemented with multi-radio and multi-channel enhancement. A multi-radio, multi-channel wireless mesh network could greatly improve certain networking performance metrics. In this research, two approaches namely, clustering and topology control mechanisms are integrated with multi-radio multi-channel wireless mesh network. A Clustering and Topology Control Algorithm (CTCA)is presented that would prolong network lifetime of the client nodes and maintain connectivity of the routers.

Enhancement Plan for Overall Disaster Prevention System

  • Moon, Sang-Ho
    • Journal of information and communication convergence engineering
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    • v.9 no.1
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    • pp.6-10
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    • 2011
  • In Korea, overall disaster prevention system or 119 emergency rescue system has been established to protect life and fortune of citizens. This system supports command & control operation, emergency 119 caller location indicator, automatic formation of fire troops and dispatch, and emergency management. To do this, various new information technologies such as GIS, telematics, CTI and TTS are applied to implement the system. In the future, however, it is not impossible to prevent a large scale disasters caused by world climate environment change and complication of city culture using the current system. In this paper, we propose enhancement plan for overall disaster prevention system to solve this problem.

3D Point Cloud Enhancement based on Generative Adversarial Network (생성적 적대 신경망 기반 3차원 포인트 클라우드 향상 기법)

  • Moon, HyungDo;Kang, Hoonjong;Jo, Dongsik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.10
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    • pp.1452-1455
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    • 2021
  • Recently, point clouds are generated by capturing real space in 3D, and it is actively applied and serviced for performances, exhibitions, education, and training. These point cloud data require post-correction work to be used in virtual environments due to errors caused by the capture environment with sensors and cameras. In this paper, we propose an enhancement technique for 3D point cloud data by applying generative adversarial network(GAN). Thus, we performed an approach to regenerate point clouds as an input of GAN. Through our method presented in this paper, point clouds with a lot of noise is configured in the same shape as the real object and environment, enabling precise interaction with the reconstructed content.

The Effect of Angelica gigas Nakai on Immune Enhancement in Cyclophosphamide-induced Immune-suppressed Mice

  • Seo, Byung-cheol;Kim, Su-Jin
    • Biomedical Science Letters
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    • v.28 no.2
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    • pp.120-126
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    • 2022
  • Natural products are important sources for drug development because they have a wide variety of useful biological properties. Angelica gigas Nakai (AGN) has been used as an herbal medicine. The present study was designed to evaluate the immune-enhancing effect of AGN in the cyclophosphamide (CP) induced immune-suppressed mice. As the result, we found that CP induced the reductions of body ratio, spleen weights, hematopoietic parameter and cytokine productions in mice. However, AGN recovered immunosuppression-mediated decreased body ratio, spleen and thymus weights as well as regulation of hematopoietic parameter including white blood cell, lymphocyte, and neutrophil. According to histological study, AGN regenerated on CP-mediated injured spleen. Moreover, AGN increased the CP-induced reduction of cytokine expression in spleen tissue. Collectively, the findings provide experimental evidence that AGN may be a candidate for health-improving herbs.

Exploratory Analysis to Investigate the Process Effectiveness of IT Convergence based Service Industry Model (IT융합 서비스 산업 모델의 프로세스 효과성 탐색)

  • Han, Hyun-Soo;Moon, Tae-Eun
    • Journal of Information Technology Applications and Management
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    • v.19 no.4
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    • pp.227-242
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    • 2012
  • It is a daunting task to theorize the process effectiveness of IT convergence based service model. Despite the criticalness of investigating process enhancement impact of IT-convergence based service model, the theoretical research in this field is relatively scarce, possibly due to the too wide and comprehensiveness of research scope. In this vein, we conducted exploratory study to understand the contributional impact of IT convergence based service model on resolving service process limitations. We first identified five IT convergence based service models in the area of typical service industry, which include entertainment, learning, location based services, tourism, and healthcare. Our research model classified value creation factors of the IT convergence model in twofold. The one is defined as basic value creation factor of the IT convergence, which is treated as the second-order factor that consists of two first-order factors of mobile functionality and Internet with digital contents merging functionality. The other is defined as service process limitations resolving factor which are comprised with the two first-order factors of simultaneousity and perishability. Both the second-order factors are modeled, each respectively, with the two first-order factors in formative manner. Using PLS, empirical validation is executed to analyze each value creating factor's contribution impact on the relative advantage, as well as the mediating effect of basic value creation factor on resolving service process limitations. On the basis of the insights revealed from this paper, further theory building research could be elaborated in the area of IT convergence applications for service industry.

(Study on an Iterative Learning Control Algorithm robust to the Initialization Error) (초기 오차에 강인한 반복 학습제어 알고리즘에 관한 연구)

  • Heo, Gyeong-Mu;Won, Gwang-Ho
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.39 no.2
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    • pp.85-94
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    • 2002
  • In this paper, we show that the 2nd-order iterative learning control algorithm with CITE is more effective and has better convergence performance than the algorithm without CITE in the case of the existence of initialization errors, for the trajectory-tracking control of dynamic systems with unidentified parameters. In contrast to other known methods, the proposed learning control scheme utilize more than one past error history contained in the trajectories generated at prior iterations, and a CITE term is added in the learning control scheme for the enhancement of convergence speed and robustness to disturbances and initialization errors. And the convergence proof of the proposed algorithm in the case of the existence of initialization error is given in detail, and the effectiveness of the proposed algorithm is shown by simulation results.

Synthesis and Properties of Polyimide Composites Containing Graphene Oxide Via In-Situ Polymerization

  • Zhu, Jiadeng;Lee, Cheol-Ho;Joh, Han-Ik;Kim, Hwan Chul;Lee, Sungho
    • Carbon letters
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    • v.13 no.4
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    • pp.230-235
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    • 2012
  • In this study, reduced graphene oxide/polyimide (r-GO/PI) composite films, which showed significant enhancement in their electrical conductivity, were successfully fabricated. GO was prepared from graphite using a modified Hummers method. The GO was used as a nanofiller material for the preparation of r-GO/PI composites by in-situ polymerization. An addition of 20 wt% of GO led to a significant decrease in the volume resistivity of composite films by less than nine orders of magnitude compared to that of pure PI films due to the electrical percolation networks of reduced GO created during imidization within the films. A tensile test indicated that the Young's modulus of the r-GO/PI composite film containing 20 wt% GO increased drastically from 2.3 GPa to 4.4 GPa, which was an improvement of approximately 84% compared to that of pure PI film. In addition, the corresponding tensile strength was found to have decreased only by 12%, from 113 MPa to 99 MPa.

A Study on Computational Efficiency Enhancement by Using Full Gray Code Genetic Algorithm (전 영역 그레이코드 유전자 알고리듬의 효율성 증대에 관한 연구)

  • 이원창;성활경
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.10
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    • pp.169-176
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    • 2003
  • Genetic algorithm (GA), which has a powerful searching ability and is comparatively easy to use and also to apply, is in the spotlight in the field of the optimization for mechanical systems these days. However, it also contains some problems of slow convergence and low efficiency caused by a huge amount of repetitive computation. To improve the processing efficiency of repetitive computation, some papers have proposed paralleled GA these days. There are some cases that mention the use of gray code or suggest using gray code partially in GA to raise its slow convergence. Gray code is an encoding of numbers so that adjacent numbers have a single digit differing by 1. A binary gray code with n digits corresponds to a hamiltonian path on an n-dimensional hypercube (including direction reversals). The term gray code is open used to refer to a reflected code, or more specifically still, the binary reflected gray code. However, according to proposed reports, gray code GA has lower convergence about 10-20% comparing with binary code GA without presenting any results. This study proposes new Full gray code GA (FGGA) applying a gray code throughout all basic operation fields of GA, which has a good data processing ability to improve the slow convergence of binary code GA.