• Title/Summary/Keyword: Convergence Performance

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A Study on The Effect Financial Performance of Convergence Factors on Corporate (기업의 융합요인이 재무적 성과에 미치는 영향)

  • Choi, Seung-Il;Song, Seong-Bin
    • Journal of Digital Convergence
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    • v.13 no.8
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    • pp.123-131
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    • 2015
  • Modern is the era of convergence. In the complex position of the company to survive in the rapid environmental changes it can not be a mandatory fusion rather than choice. Wind convergence also in the art can be said to castration. This phenomenon can be found in many real life. Most real-life contact with the service sector is no exception. Due to a number of banks and insurance combined Banca named fusion of French banking and insurance business are integrated. Even recently, the situation has been provided by Investment consulting, equity trading services within bank branches. In this study, based on the need for convergence of corporate businesses convergence factors examined through regression analysis on whether any impact on the financial aptitude. External environmental factors that make up the fusion research factors internal environmental factors, both core competencies were factors to affect financial performance.

Effects of process variables on aqueous-based AlOx insulators for high-performance solution-processed oxide thin-film transistors

  • Huh, Jae-Eun;Park, Jintaek;Lee, Junhee;Lee, Sung-Eun;Lee, Jinwon;Lim, Keon-Hee;Kim, Youn Sang
    • Journal of Industrial and Engineering Chemistry
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    • v.68
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    • pp.117-123
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    • 2018
  • Recently, aqueous method has attracted lots of attention because it enables the solution-processed metal oxide thin film with high electrical properties in low temperature fabrication condition to various flexible devices. Focusing the development of aqueous route, many researchers are only focused on metal oxide materials. However, for expansive application of the aqueous-based metal oxide films, the systematic study of performance change with process variables for the development of aqueous-based metal oxide insulator film is urgently required. Here, we propose importance of process variables to achieve high electrical-performance metal oxide insulator based on the aqueous method. We found that the significant process variables including precursor solution temperature and humidity during the spincoating process strongly affect chemical, physical, and electrical properties of $AlO_x$ insulators. Through the optimization of significant variables in process, an $AlO_x$ insulator with a leakage current value approximately $10^5$ times smaller and a breakdown voltage value approximately 2-3 times greater than un-optimized $AlO_x$ was realized. Finally, by introducing the optimized $AlO_x$ insulators to solutionprocessed $InO_x$ TFTs, we successfully achieved $InO_x/AlO_x$ TFTs with remarkably high average field-effect mobility of ${\sim}52cm^2V^{-1}\;s^{-1}$ and on/off current ratio of 106 at fabrication temperature of $250^{\circ}C$.

A Model of the influence of IMS operation on organizational performance (정보화경영체제 실행이 조직성과에 미치는 영향도 모델 개발)

  • Kim, Kyung-Ihl
    • Journal of Convergence Society for SMB
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    • v.6 no.1
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    • pp.1-5
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    • 2016
  • In this paper, I try to develop a model the effects on organizational behavior and job performance of members of the organization's Information Management System. I conduct a survey on organizational performance received IMS and analyze the correlation between the variables. By the results, as the level of awareness of IMS determined the level of organization's performance. I proposed an alternative for improving performance and management improvements. How a positive influence on organizational performance analysis and efficient operating IMS.

Infeed Control Algorithm of Sorting System Using Modified Trapezoidal Velocity Profiles

  • Kim, Ki Hak;Choi, Yong Hoon;Jung, Hoon
    • ETRI Journal
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    • v.37 no.2
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    • pp.328-337
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    • 2015
  • This paper applies acceleration/deceleration control-based velocity profiles to an infeed control algorithm for a cross-belt-type sorting system to improve the accuracy and performance of the system's infeed. The velocity profiles are of a trapezoidal shape and often have to be modified to ensure that parcels correctly synchronize with their intended carriers. Under the proposed method, an infeed line can handle up to 5,600 items/h, which indicates a 40% increase in performance in comparison with its existing handling rate of 4,000 items/h. This improvement in performance may lead to a reduction in the number of infeed lines required in a sorting system. The proposed infeed control algorithm is applied to a cross-belt-type sorting system (model name: SCS 1500) manufactured by Vanderlande Industries.

Equalization of Time-Varying Channels using a Recurrent Neural Network Trained with Kalman Filters (칼만필터로 훈련되는 순환신경망을 이용한 시변채널 등화)

  • 최종수;권오신
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.11
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    • pp.917-924
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    • 2003
  • Recurrent neural networks have been successfully applied to communications channel equalization. Major disadvantages of gradient-based learning algorithms commonly employed to train recurrent neural networks are slow convergence rates and long training sequences required for satisfactory performance. In a high-speed communications system, fast convergence speed and short training symbols are essential. We propose decision feedback equalizers using a recurrent neural network trained with Kalman filtering algorithms. The main features of the proposed recurrent neural equalizers, utilizing extended Kalman filter (EKF) and unscented Kalman filter (UKF), are fast convergence rates and good performance using relatively short training symbols. Experimental results for two time-varying channels are presented to evaluate the performance of the proposed approaches over a conventional recurrent neural equalizer.

2nd-order PD-type Learning Control Algorithm

  • Kim, Yong-Tae;Zeungnam Bien
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.2
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    • pp.247-252
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    • 2004
  • In this paper are proposed 2nd-order PD-type iterative learning control algorithms for linear continuous-time system and linear discrete-time system. In contrast to conventional methods, the proposed learning algorithms are constructed based on both time-domain performance and iteration-domain performance. The convergence of the proposed learning algorithms is proved. Also, it is shown that the proposed method has robustness in the presence of external disturbances and the convergence accuracy can be improved. A numerical example is provided to show the effectiveness of the proposed algorithms.

Topology Design Optimization for Improving Fail-over Performance in Wired Mesh Network (유선 메시 구조에서의 절체 성능 향상을 위한 네트워크 설계 기법)

  • Hwang, Jongsu;Jang, Eunjeong;Lee, Wonoh;Kim, Jonghyeok;Kim, Heearn
    • IEMEK Journal of Embedded Systems and Applications
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    • v.14 no.4
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    • pp.165-175
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    • 2019
  • Networks use relatively slow heartbeat mechanisms, usually in routing protocols, to detect failures when there is no hardware signaling to help out. The time to detect failures available in the existing protocols is no better than a second, which is far too long for some applications and represents a great deal of lost data at 10 Gigabit rates. We compare the convergence time of routing protocol applying Bidirectional Forwarding Detection (BFD) protocol in wired mesh network topology. This paper suggests the combinations of protocols improving fail-over performance. Through the performance analysis, we contribute to reduce convergence time when system is fail-over.

A Study on the Research Performance and Efficiency of Convergence Research Projects sponsored by National Research Council of Science & Technology : A Comparative Study of Convergence Research and General Trust Projects Using DEA (국가과학기술연구회 융합연구사업의 연구성과 효율성에 관한 연구 : DEA를 활용한 융합연구 및 일반수탁사업의 비교분석을 중심으로)

  • Yuk, Hyounggab;Kang, Jaeyeol;Pae, Kibong;Kang, Daeseok
    • Journal of the Korea Convergence Society
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    • v.11 no.3
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    • pp.211-218
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    • 2020
  • This study compared and analyzed the efficiency of the research results of the convergence research project operated by the National Science and Technology Research Council and the general research project carried out by the Government-funded research institute and proposed measures to enhance the efficiency of the operation and management of convergence research. Research data were collected from 21 government-funded research institutes through an information disclosure claim and DEA analysis was conducted for efficiency assessment. The SCI papers of convergence research showed high efficiency, and the patent registration and technology transfer sector showed high efficiency of general research projects. This indicates that convergence research projects for securing lead and original technologies are highly efficient, but their performance is low due to lack of participation by businesses in terms of the utilization of derived technologies, and more companies' participation and opportunities are needed for practical use of convergence research results. Through the analysis of efficiency of convergence research project performance, this study provided policy and guidance for R&D planning for rational investment of limited manpower and research costs. Further, future research on identifying efficiency is proposed depending on the type of technology subject to convergence research as a method for managing convergence research.

Performance Evaluation of FC-MMA and RMMA Algorithm for Adaptive Equalization in 2-dimensional QAM Signals (2차원 QAM 신호에서 적응 등화를 위한 FC-MMA와 RMMA 알고리즘의 성능 평가)

  • Lim, Seung-Gag;Kang, Dae-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.5
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    • pp.91-97
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    • 2016
  • This paper evaluates the equalization algorithm of FC-MMA (Fast Convergence-Multi Modulus Algorithm) and RMMA (Region based Multi Modulus Algorithm) for the compensation of intersymbol interference which is due to the distortion of communication channel. In order to obtain the error signal for adaptive equalization, the FC-MMA use the modified dispersion constant considering the number of signal symbol, the RMMA separates the 4 region which every symbol points are located, then reduce the symbol point based on this region into constant modulus symbol point. By applying the different principle in order to get the error signal for the updating the tap coefficient of adaptive equalizer, it has the different equalization performance by these error signal. The computer simulation was performed in order to compare the different equalization performance in this paper. The performance index includes the output signal constellation, the residual isi and maximum distortion that is for the convergence characteristics, the SER. As a result of computer simulation, RMMA has more good performance in the residual isi, maximum distortion after in steady state and SER performance than FC-MMA, but not in convergence speed to reach the steady state.