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Improvement on the Laminated Busbar of NPC Three-Level Inverters based on a Supersymmetric Mirror Circulation 3D Cubical Thermal Model

  • He, Feng-You;Xu, Shi-Zhou;Geng, Cheng-Fei
    • Journal of Power Electronics
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    • v.16 no.6
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    • pp.2085-2098
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    • 2016
  • Laminated busbars with a low stray inductance are widely used in NPC three-level inverters, even though some of them have poor performances in heat equilibrium and overvoltage suppression. Therefore, a theoretical method is in need to establish an accurate mathematical model of laminated busbars and to calculate the impedance and stray inductance of each commutation loop to improve the heat equilibrium and overvoltage suppression performance. Firstly, an equivalent circuit of a NPC three-level inverter laminated busbar was built with an analysis of the commutation processes. Secondly, on the basis of a 3D (three dimensional) cubical thermal model and mirror circulation theory, a supersymmetric mirror circulation 3D cubical thermal model was built. Based on this, the laminated busbar was decomposed in 3D space to calculate the equivalent resistance and stray inductance in each commutation loop. Finally, the model and analysis results were put into a busbar design, simulation and experiments, whose results demonstrate the accuracy and feasibility of the proposed method.

The Precise Positioning with the 3D Coordinate Transformation of GPS Surveying (GPS 측량의 3차원 좌표변환에 의한 정밀위치결정)

  • Park, Woon-Yong;Yeu, Bock-Mo;Lee, Kee-Boo
    • Journal of Korean Society for Geospatial Information Science
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    • v.8 no.2 s.16
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    • pp.47-60
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    • 2000
  • On this study, Among the classification methods of land cover using satellite imagery, we compared the classification accuracy of Neural Network Classifier and that of Maximum Likelihood Classifier which has the characteristics of parametric and non-parametric classification method. In the assessment of classification accuracy, we analyzed the classification accuracy about testing area as well as training area that many analysts use generally when assess the classification accuracy. As a result, Neural Network Classifier is superior to Maximum Likelihood Classifier as much as 3% in the classification of training data. When ground reference data is used, we could get poor result from both of classification methods, but we could reach conclusion that the classification result of Neural Network Classifier is superior to the classification result of Maximum Likelihood Classifier as much as 10%.

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Adaptive Buffer Management Method for QoS of Internet Telephony (인터넷폰의 QoS를 위한 적응적인 버퍼관리 방식)

  • 류태욱;이현관;이용구;김주웅;엄기환
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.05a
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    • pp.384-387
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    • 2002
  • Internet telephony is an application that transmits voice data for conversation. Therefore it must provide high sound quality. However while audio packets are transferred through the network, they are affected by delay variations and jitters, which could result in poor sound quality if the receiving end does not have an appropriate jitter buffer to overcome network factors. This thesis introduces a buffer management algorithm that could be used to provide better sound quality for Internet phone terminals. This algorithm actively responds to both the compression algorithms that are used by the terminals, as well as to the received data to provide an improvement in sound quality. In order to confirm the validity of the suggested algorithm, comparisons of the performance have been made between the existing buffer management algorithms and this new algorithm in various network settings.

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Multi-level MCMA Blind Equalization Technique using M-ary QAM signal (M-ary QAM 신호를 적용한 다단계 MCMA 블라인드 등화 기법)

  • 김성미;조주필;백흥기
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.8B
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    • pp.1453-1459
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    • 2000
  • In this paper, the method which compensates the problem occurred in case M-ary QAM is applied to system is proposed. The conventional CMA has two problems, First, when M is larger than 4, it has a poor performance of equalizer due to a degradation of convergence property. Second, the phase of conventional CMA is distorted after convergence. To compensate these problems, we set the proper interval according to modulated signal when the signal using 16-QAM modulation method is equalized and use a different equalizing method for each interval. Using this method, the ISI is reduced and the performance of equalizing is improved. Also, the computer simulation using residual ISI shows an improved performance.

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A study on the fast frequency hopping spread-spectrum(FFH-SS) Communication system using Digital Frequency Synthesizer Technique (디지틀 주파수 합성 기법에 의한 FFH-SS 통신 방식에 관한 연구)

  • 김원후;전계석
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.12 no.2
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    • pp.168-175
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    • 1987
  • In this paper, a FFH-SS hybrid communication method using digital frequency synthesizer is proposed. This can simultaneously share the same frequency band with conventional band limited communication method without interference. In the experiment the selective hopping pattern is attained by some conbination of serial to parallel conversion of maximal code from pseudo random noise generater, and it is observed that the selective hopping band transition can be more easily achieved when the hop interval is nonuniform than it is uniform. Digital frequency synthesizer is now reported to have very poor spurious suppression ability below 50~60dB, the reason of this is observed from the experimental result, and the way of how to solve this problem is presneted.

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A Study on Aircraft Part Management using Smart Work (스마트 워크를 이용한 항공기 부품 관리 방안 연구 -항공기 타이어를 중심으로-)

  • Lee, Doo-Yong;Song, Young-Keun;Jang, Jung-Hwan;Lee, Chang-Ho
    • Journal of the Korea Safety Management & Science
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    • v.13 no.3
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    • pp.209-215
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    • 2011
  • Currently, 10% of the domestic aircraft accidents and 9% of delays and cancellations were generated due to poor maintenance. Aircraft maintenance work is divided into works in material warehouse and in hangar. In material warehouse, the problem in aircraft maintenance work is occurred when the serial number of parts are identified and entered. In hangar, work order are duplicatively written. In addition, the maintenance information is not shared and then work order is wrong delivered. In this study, we analyzed the maintenance process and the informations that occurs in the material warehouse and hangar for large airline company to solve the problems. And serial numbers are replaced by QR code. And documented work order and manual are handled using the tablet PC. In conclusion, this paper studied smart work of maintenance process about tire parts. We expect to improve the inefficiency of identification of serial number and total maintenance time is reduced by real-time information sharing.

The optimal control technology on complex environment in horticulture based on artificial intelligence (인공지능 기반 시설원예 최적 복합 환경 제어 기술)

  • Min, Jae Hong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.756-759
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    • 2017
  • The productivity of cultivated crops in Korea is low compared to the Netherlands, which is an advanced agricultural country. In addition, modernization of facility and complex environmental control technology are needed to overcome poor growth and productivity deterioration caused by shortage of sunshine, abnormal temperature and high temperature due to abnormal climate. On the other hand, domestic facility horticulture complex environmental control is a level of machine automation that can check the internal situation of a green house with a cell phone and remotely operate a sprinkler, heat cover, curtain, ventilator, Therefore, this paper suggests the development of optimum environment control technology for facility horticulture based on the growth model and the cultivation technology knowledge base in order to realize the automation of optimal complex environment control and contribute to improvement of quality and productivity of cultivated crops.

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Ultrasonic Sensor System using Neuro-Fuzzy Algorithm for Improvement of Pattern Recognition Rate (초음파센서 뉴로퍼지 시스템을 이용한 패턴인식률 개선)

  • Na, Cheolhun;Choi, Kwangseok;Boo, Suil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.721-724
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    • 2014
  • Ultrasonic sensor is used widely for many applications because low cost, simple structure, and low restriction. There are many difficulties to recognize an object by use an ultrasonic sensor, because of low resolution, poor direction, and measurement error. To improve the these problem, we use the various kinds of sensor arrangement methods, large amount of sensor, and change the arrangement pattern of sensor. In this paper, to obtain the most basic parameters for pattern recognition such as distance, dimension of the object, an angle of the object, we get the improved results by use the intelligent calculation algorithm based on Neuro-Fuzzy. This method use the multifarious output voltage of ultrasonic sensor by simple electronic circuit.

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A Study on User Switching Intention from Contact Center-oriented to AI Chatbot-Oriented Customer Services (컨택센터 중심에서 인공지능 챗봇 중심 고객 서비스로의 사용자 전환의도에 관한 연구)

  • Ann Seunggyu;Ahn Hyunchul
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.1
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    • pp.57-76
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    • 2023
  • This study analyzes the factors and effects on the users' intention to switch from contact center-oriented to AI chatbot-oriented customer services by combining Push-Pull-Mooring Model and provides insights for companies considering the adoption of AI chatbots. To test the model, we surveyed users with experience using chatbots at least once across different age groups. Finally, we analyzed 176 cases for the analysis using IBM SPSS Statistics and SmartPLS 4.0. The results of hypotheses testing rejected the hypotheses for variables of inconsistent quality and low availability of push factors and low switching cost of mooring factor while accepting the hypotheses for the tardy response of push factors and all pull factors. Therefore, these findings provide important implications for researchers and practitioners who wish to conduct research or adopt AI chatbots. In conclusion, users do not feel inconvenienced by the contact center-oriented service but also perceive high trust and convenience with AI chatbot-oriented service. However, despite low switching costs, users consider chatbots a complementary tool rather than an alternative. So, companies adopting AI chatbots should consider what features the users expect from AI chatbots and facilitate these features when implementing AI chatbots.

Deinterlacing Using Multi-Directional Edge Information (다각도의 에지 정보를 이용한 디인터레이싱)

  • Lee, Dong-Wook;Kang, Mun-Bong
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.2
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    • pp.92-96
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    • 2010
  • Deinterlacing methods are usually divided into inter-field deinterlacing and intra-field deinterlacing. The most common method of intra-field deinterlacing is the linear method which uses line doubling or line averaging. There are also some edge-enhancement methods such as ELA(Edge Based Line Average) and modified ELA. However, the linear interpolation generates edge blurring or staircase artifacts. The methods using ELA or modified ELA show poor deinterlacing at various types of edges because of insufficient edge information in a certain direction. This paper presents an intra-field deinterlacing algorithm that considers the interpolation based on edges in 7 directions and an edge line in the horizontal direction. It demonstrates better picture quality by reducing the staircase phenomenon of object in the conventional methods.