• Title/Summary/Keyword: Conversion Network

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A Study on the Management Performance Depends on the Supply Chain Structure (공급사슬구조에 따른 경영성과에 관한 연구)

  • Jang Hyeong-Wook;Lee Sang-Shik
    • Journal of Korea Society of Industrial Information Systems
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    • v.10 no.4
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    • pp.110-119
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    • 2005
  • This study develops three dimensions of a supply chain structure (i.e., supply network, conversion network, distribution network) and proposes a balanced scorecard (BSC) model in order to measure management performance. We may conclude that management performance depends on the supply chain structure, and performance of distribution network is better than that of supply and conversion networks based on the result of Scheff multi-comparison.

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A Study on the Signalling Conversion between the ISDN Subscriber and the Conventional Exchange (ISDN가입자와 기존 교환망간의 신호방식 정합에 관한 연구)

  • 곽경원;김근배;이주식;박영덕;조규섭;박병철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.14 no.6
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    • pp.621-632
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    • 1989
  • According to the conventional network evolving towards ISDN, various connection types may be existed in the networks and subscriber-network interfaces. For this reason it is necessary to study the signalling conversion algorithms and the implementation models. In this paper, after surveying the signalling conversion method between the ISDN subscriber and the conventional network, the signaling conversion algorithms are proposed. Based on this algorithms the matching system is designed and developed. Also the validity of this system and the utility of designed software and hardware functions are verified through experiments.

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Neural Network Controller for a Permanent Magnet Generator Applied in Wind Energy Conversion System

  • Eskander, Mona N.
    • Journal of Power Electronics
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    • v.2 no.1
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    • pp.46-54
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    • 2002
  • In this paper a neural network controller for achieving maximum power tracking as well as output voltage regulation, for a wind energy conversion system (WECS) employing a permanent magnet synchronous generator is proposed. The permanent magnet generator (PMG) supplies a dc load via a bridge rectifier and two buck-boost converters. Adjusting the switching frequency of the first buck-boost converter achieves maximum power tracking. Adjusting the switching frequency of the second buck-boost converter allows output voltage regulation. The on-time of the switching devices of the two converters are supplied by the developed neural network (NN). The effect of sudden changes in wind speed and/ or in reference voltage on the performance of the NN controller are explored. Simulation results showed the possibility of achieving maximum power tracking and output voltage regulation simulation with the developed neural network controllers. The results proved also the fast response and robustness of the proposed control system.

A Study on Modeling and Algorithm for WDM VWP Network Design (WDM VWP 네트워크 설계 모형 및 알고리즘 연구)

  • Lee, Hee-Sang;Hong, Sung-Pil;Song, Hae-Goo
    • Journal of Korean Institute of Industrial Engineers
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    • v.26 no.4
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    • pp.296-305
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    • 2000
  • Virtual wavelength path (VWP) is the optical path when a wavelength conversion is possible in a wavelength division multiplexing (WDM) network that is transmission infrastructure for the next generation high speed backbone networks. To achieve efficient design for VWP networks, we must consider VWP routing, wavelength assignment, and wavelength conversion while satisfying many technical constraints of the WDM networks. In this study we propose an integrated model for efficient VWP design in WDM networks. We also develope a 3-phase algorithm, each of which deals with routing, wavelength assignment and route and wavelength reassignment, respectively. In our computational experiments, phase 1 algorithm can solve the problem to the optimality for medium size test networks. Phase 2 algorithm is an efficient heuristic based on a reduced layered network and can give us an effective wavelength assignment. Finally, phase 3 algorithm reconfigure VWP routing and its wavelength assignment to concentrate wavelength conversion nodes in the suggested VWP network.

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Voice-to-voice conversion using transformer network (Transformer 네트워크를 이용한 음성신호 변환)

  • Kim, June-Woo;Jung, Ho-Young
    • Phonetics and Speech Sciences
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    • v.12 no.3
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    • pp.55-63
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    • 2020
  • Voice conversion can be applied to various voice processing applications. It can also play an important role in data augmentation for speech recognition. The conventional method uses the architecture of voice conversion with speech synthesis, with Mel filter bank as the main parameter. Mel filter bank is well-suited for quick computation of neural networks but cannot be converted into a high-quality waveform without the aid of a vocoder. Further, it is not effective in terms of obtaining data for speech recognition. In this paper, we focus on performing voice-to-voice conversion using only the raw spectrum. We propose a deep learning model based on the transformer network, which quickly learns the voice conversion properties using an attention mechanism between source and target spectral components. The experiments were performed on TIDIGITS data, a series of numbers spoken by an English speaker. The conversion voices were evaluated for naturalness and similarity using mean opinion score (MOS) obtained from 30 participants. Our final results yielded 3.52±0.22 for naturalness and 3.89±0.19 for similarity.

Transportation Network Data Generation from the Topological Geographic Database (GIS위상구조자료로부터 교통망자료의 추출에 관한 연구)

  • 최기주
    • Spatial Information Research
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    • v.2 no.2
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    • pp.147-163
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    • 1994
  • This paper presents three methods of generating the transportation network data out of the topological geographic database in the hope that the conversion of the geographic database file containing the topology to the conventional node-link type trans¬portation network file may facilitate the integration between transportation planning mod¬els and GIS by alleviating the inherent problems of both computing environments. One way of the proposed conversion method is to use the conversion software that allows the bi-directional conversion between the UTPS (Urban Transportation Planning System) type transportation planning model and GIS. The other two methods of data structure conversion approach directly transform the GIS's user-level topology into the transportation network data topology, and have been introduced with codes programmed with FORTRAN and AML (Arc Macro Language) of ARC/INFO. If used successfully, any approach would not only improve the efficiency of transportation planning process and the associated decision-making activities in it, but enhance the productivity of trans¬portation planning agencies.

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Many-to-many voice conversion experiments using a Korean speech corpus (다수 화자 한국어 음성 변환 실험)

  • Yook, Dongsuk;Seo, HyungJin;Ko, Bonggu;Yoo, In-Chul
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.3
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    • pp.351-358
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    • 2022
  • Recently, Generative Adversarial Networks (GAN) and Variational AutoEncoders (VAE) have been applied to voice conversion that can make use of non-parallel training data. Especially, Conditional Cycle-Consistent Generative Adversarial Networks (CC-GAN) and Cycle-Consistent Variational AutoEncoders (CycleVAE) show promising results in many-to-many voice conversion among multiple speakers. However, the number of speakers has been relatively small in the conventional voice conversion studies using the CC-GANs and the CycleVAEs. In this paper, we extend the number of speakers to 100, and analyze the performances of the many-to-many voice conversion methods experimentally. It has been found through the experiments that the CC-GAN shows 4.5 % less Mel-Cepstral Distortion (MCD) for a small number of speakers, whereas the CycleVAE shows 12.7 % less MCD in a limited training time for a large number of speakers.

A study on the SCM Activity and Business Performance varied with the Supply Chain Structure (공급사슬구조에 따른 SCM 활동과 경영성과에 관한 연구)

  • Jang Hyeong-Wook;Lee Sang-Shik;Park Byung-Kwon
    • The Journal of Information Systems
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    • v.15 no.2
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    • pp.173-193
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    • 2006
  • This study first conceptualizes and investigates five dimensions of SCM activities, such as organizational capacity, revitalization support collaboration, appraisal and responsibility, and information system activities. Second, this study develops three dimensions of a supply chain structure, and proposes a balanced scorecard (BSC) model in order to measure business performance. And then, this study establishes too research hypotheses as follows: H1. The SCM activities varies with the supply chain structure. H2. The management performance varies with the supply chain structure. In the questionnaire survey for empirical analysis, this study carefully selected 809 of companies in Korea. We conducted a survey by mail and collected 127 data. Out of 127 data we actually used 103 responses for statistical analysis. After conducting statistical analysis, we could find the results as followed: 1) The supply chain structure was classified into three networks through a clustering procedure, such as supply network, conversion network, and distribution network, and these networks were used to testify hypotheses. As a result the effect of SCM activities varies according to three networks and especially, the companies in distribution network were more active than those in supply and conversion networks doing SCM activities. 2) We may conclude that business performance varies with three networks, and distribution network achieves better performance than supply and conversion networks do.

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Wavelength Assignment Algorithm Considering Maximizing Residual Link in WDM Network with Wavelength Conversion (파장변환을 고려하는 WDM 네트워크에서 잔여 링크의 최대화를 고려하는 파장 할당 알고리즘)

  • Shin Ja-Young;Kim Sung-Chun
    • Journal of KIISE:Computer Systems and Theory
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    • v.32 no.11_12
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    • pp.646-653
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    • 2005
  • This paper proposes that wavelength assignment algorithm maximizes residual links considering more real wavelength conversion in the WDM network. The existing algorithms are inefficient that they ignore wavelength conversion ability in each nodes and fixed uniformly wavelength conversion ability on all nodes. Proposed method makes a ring shape that maximize available residual links considering wavelength conversion ability in each nodes. Maximizing residual links can assign a wavelength for any path require. Then blocking probability is reduced by the maximum 19 percent and wavelength conversion number is improved by about 40 percent. These can be showed in performance evaluation.

The effect of thickness and translucency of polymer-infiltrated ceramic-network material on degree of conversion of resin cements

  • Barutcigil, Kubilay;Buyukkaplan, Ulviye Sebnem
    • The Journal of Advanced Prosthodontics
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    • v.12 no.2
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    • pp.61-66
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    • 2020
  • PURPOSE. The aim of the present study was to determine the degree of conversion of light- and dual-cured resin cements used in the cementation of all-ceramic restorations under different thicknesses of translucent (T) and high-translucent (HT) polymer-infiltrated ceramic-network (PICN) material. MATERIALS AND METHODS. T and HT PICN blocks were prepared at 0.5, 1.0, 1.5, and 2.0 mm thicknesses (n=80). Resin cement samples were prepared with a diameter of 6 mm and a thickness of 100 ㎛. Light-cured resin cement was polymerized for 30 seconds, and dual-cure resin cement was polymerized for 20 seconds (n=180). Fourier transform infrared spectroscopy (FTIR) was used for degree of conversion measurements. The obtained data were analyzed with ANOVA and Tukey HSD, and independent t-test. RESULTS. As a result of FTIR analysis, the degree of conversion of the light-cured resin cement prepared under 1.5- and 2.0-mm-thick T and HT ceramics was found to be lower than that of the control group. Regarding the degree of conversion of the dual-cured resin cement group, there was no significant difference from the control group. CONCLUSION. Within the limitation of present study, it can be concluded that using of dual cure resin cement can be suggested for cementation of PICN material, especially for thicknesses of 1.5 mm and above.