• Title/Summary/Keyword: 다중상태 시스템

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On Adaptive LDPC Coded MIMO-OFDM with MQAM on Fading Channels (페이딩 채널에서 적응 LDPC 부호화 MIMO-OFDM의 성능 분석)

  • Kim, Jin-Woo;Joh, Kyung-Hyun;Ra, Keuk-Hwan
    • 전자공학회논문지 IE
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    • v.43 no.2
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    • pp.80-86
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    • 2006
  • The wireless communication based on LDPC and adaptive spatial-subcarrier coded modulation using MQAM for orthogonal frequency division multiplexing (OFDM) wireless transmission by using instantaneous channel state information and employing multiple antennas at both the transmitter and the receiver. Adaptive coded modulation is a promising idea for bandwidth-efficient transmission on time-varying, narrowband wireless channels. On power limited Additive White Gaussian Noise (AWGN) channels, low density parity check (LDPC) codes are a class of error control codes which have demonstrated impressive error correcting qualities, under some conditions performing even better than turbo codes. The paper demonstrates OFDM with LDPC and adaptive modulation applied to Multiple-Input Multiple-Output (MIMO) system. An optimization algorithm to obtain a bit and power allocation for each subcarrier assuming instantaneous channel knowledge is used. The experimental results are shown the potential of our proposed system.

Low-complexity Joint Transmit/Receive Antenna Selection Algorithm for Multi-Antenna Systems (다중 안테나 시스템을 위한 낮은 복잡도의 송/수신안테나 선택 알고리즘)

  • Son, Jun-Ho;Kang, Chung-G.
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.10A
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    • pp.943-951
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    • 2006
  • Multi-input-multi-output (MIMO) systems are considered to improve the capacity and reliability of next generation mobile communication. However, the multiple RF chains associated with multiple antennas are costly in terms of size, power and hardware. Antenna selection is a low-cost low-complexity alternative to capture many of the advantages of MIMO systems. We proposed new joint Tx/Rx antenna selection algorithm with low complexity. The proposed algorithm is a method selects $L_R{\times}L_T$ channel matrix out of $L_R{\times}L_T$ entire channel gain matrix where $L_R{\times}L_T$ matrix selects alternate Tx antenna with Rx antenna which have the largest channel gain to maximize Frobenius norm. The feature of this algorithm is very low complexity compare with Exhaustive search which have optimum capacity. In case of $4{\times}4$ antennas selection out of $8{\times}8$ antennas, the capacity decreases $0.5{\sim}2dB$ but the complexity also decreases about 1/10,000 than optimum exhaustive search.

System Level Performance Evaluation of TICN Based on Mobile WiMAX (Mobile WiMAX 기반 TICN의 시스템 레벨 성능평가)

  • Yun, Ju-Hee;Kim, Jaekwon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.8
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    • pp.5233-5241
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    • 2014
  • This study analyzed the system level performance of the Mobile WiMAX-based TICN, and the effects of the use of BS-OTM in terms of the throughput of individual users as well as the overall system, assuming that other stationary BSs are distributed randomly. When BS-OTM is used, the CINRs decrease due to the additional interference from the BS-OTM from the perspective of SSs that are served by the same BS as when OTM BS is not used. On the other hand, from the perspective of SSs that had low CINRs, the CINRs increase significantly due to the new service from BS-OTM. Considering both effects, the cell throughput can be increased using BS-OTM. The CINR distribution and throughput of the overall system, changing the carrier frequency, position and velocity of the BS-OTM were also evaluated.

Integrated Semantic Querying on Distributed Bioinformatics Databases Based on GO (분산 생물정보 DB 에 대한 GO 기반의 통합 시맨틱 질의 기법)

  • Park Hyoung-Woo;Jung Jun-Won;Kim Hyoung-Joo
    • Journal of KIISE:Computing Practices and Letters
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    • v.12 no.4
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    • pp.219-228
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    • 2006
  • Many biomedical research groups have been trying to share their outputs to increase the efficiency of research. As part of their efforts, a common ontology named Gene Ontology(GO), which comprises controlled vocabulary for the functions of genes, was built. However, data from many research groups are distributed and most systems don't support integrated semantic queries on them. Furthermore, the semantics of the associations between concepts from external classification systems and GO are still not clarified, which makes integrated semantic query infeasible. In this paper we present an ontology matching and integration system, called AutoGOA, which first resolves the semantics of the associations between concepts semi-automatically, and then constructs integrated ontology containing concepts from GO and external classification systems. Also we describe a web-based application, named GOGuide II, which allows the user to browse, query and visualize integrated data.

Vision-based Real-time Lane Detection and Tracking for Mobile Robots in a Constrained Track Environment

  • Kim, Young-Ju
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.11
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    • pp.29-39
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    • 2019
  • As mobile robot applications increase in real life, the need of low cost autonomous driving are gradually increasing. We propose a novel vision-based real-time lane detection and tracking system that supports autonomous driving of mobile robots in constrained tracks which are designed considering indoor driving conditions of mobile robots. Considering the processing of lanes with various shapes and the pre-adjustment of operation parameters, the system structure with multi-operation modes are designed. In parameter tuning mode, thresholds of the color filter is dynamically adjusted based on the geometric property of the lane thickness. And in the unstable input mode of curved tracks and the stable input mode of straight tracks, lane feature pixels are adaptively extracted based on the geometric and temporal characteristics of the lanes and the lane model is fitted using the least-squared method. The track centerline is calculated using lane models and the motion model is simplified and tracked by a linear Kalman filter. In the driving experiments, it was confirmed that even in low-performance robot configurations, real-time processing produces the accurate autonomous driving in the constrained track.

Development and Evaluation of Portable Multiple Gas Meter (휴대용 다중 가스측정 장비 개발 및 평가)

  • Jang, Hee-Joong;Kim, Eung-Sik;Park, Jong-Yeol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.483-490
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    • 2019
  • Assessing the effect of forest fires and measuring the gas concentration around a fire has received little attention. Therefore, the concentrations of various gases in areas surrounding a fire need to be measured by the development of a suitable device. Unlike conventional portable devices, the AQS (Air Quality System) proposed in this paper is a portable instrument that measures five types of gases simultaneously, including CO, CO2, NOx, VOCs, and NH3, and has high durability through sensor protection algorithms. A PC-based program with an AQS connection was developed to monitor the real-time changes in the gas concentration. The reliability of the developed device was proven through a comparison of the results with other commercial gas analyzers. Measurements of the concentration due to indoor and outdoor fires were performed around a fire area to review the applicability and the predicted results were obtained.

A Multiclass Classification of the Security Severity Level of Multi-Source Event Log Based on Natural Language Processing (자연어 처리 기반 멀티 소스 이벤트 로그의 보안 심각도 다중 클래스 분류)

  • Seo, Yangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.5
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    • pp.1009-1017
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    • 2022
  • Log data has been used as a basis in understanding and deciding the main functions and state of information systems. It has also been used as an important input for the various applications in cybersecurity. It is an essential part to get necessary information from log data, to make a decision with the information, and to take a suitable countermeasure according to the information for protecting and operating systems in stability and reliability, but due to the explosive increase of various types and amounts of log, it is quite challenging to effectively and efficiently deal with the problem using existing tools. Therefore, this study has suggested a multiclass classification of the security severity level of multi-source event log using machine learning based on natural language processing. The experimental results with the training and test samples of 472,972 show that our approach has archived the accuracy of 99.59%.

The effect of Internal Marketing on Job Commitment of Workers in the Beauty Franchise Industry (뷰티 프렌차이즈 산업에서 내부마케팅이 종사자들의 직무몰입에 미치는 영향)

  • Shin, Dong-hwa;Kim, Hyun-joo
    • Journal of Convergence for Information Technology
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    • v.11 no.8
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    • pp.194-200
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    • 2021
  • The beauty industry continued to develop despite the difficult social environment, and in the process, small-scale beauty businesses grew rapidly into large-scale beauty franchises. Therefore, this study was conducted because it was considered that various internal marketing is necessary for workers in the beauty industry. In order to find out what kind of internal marketing has a great effect on job immersion for workers, from February 1, 2021 to March 2021 By the 31st, 220copies out of 250 questionnaires were collected and frequency analysis, reliability analysis, factor analysis, correlation analysis, and multiple regression analysis were performed with spss 22.0. Satisfying internal marketing was a reward system and it was found that it had the greatest influence on job commitment. Therefore, it is considered that the actual internal marketing that workers want should be planned.

Intelligence e-Learning System Supporting Participation of Students based on Face Recognition (학습자 참여를 유도하기 위한 얼굴인식 기반 지능형 e-Learning 시스템)

  • Bae, Kyoung-Yul;Joung, Jin-Oo;Min, Seung-Wook
    • Journal of Intelligence and Information Systems
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    • v.13 no.2
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    • pp.43-53
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    • 2007
  • e-Learning education system as the next educational trend supporting remote and multimedia education. However, the students stay mainly at remote place and it is hard to certificate whether he is really studying now or not. To solve this problem, some solutions were proposed such as instructor's supervision by real time motion picture or message exchanging. Unhappily, as you can see, it needs much cost to establish the motion exchanging system and trampling upon human rights could occasion to reduce the student's will. Accordingly, we propose the new intelligent system based on face recognition to reduce the system cost. The e-Learning system running on the web page can check the student's status by motion image, and the images transfer to the instructor. For this study, 20 students and one instructor takes part in capturing and recognizing the face images. And the result produces the prevention the leave of students from lecture and improvement of attention.

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An Adaptive Joint Precoding for Multi-user MIMO Systems (다중 사용자 MIMO 시스템을 위한 적응적 결합 프리코딩)

  • Park, Ju Yong;Hanif, Mohammad Abu;Song, Sang Seob;Lee, Moon Ho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.12
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    • pp.3-11
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    • 2014
  • Multiple antennas can provide huge capacity gains when the transmitter knows the channel state information (CSI). Precoding is a technique that exploits CSI at the transmitter side. In this paper, an adaptive precoding scheme is proposed, called a hybrid multiple-input multiple-output (MIMO) precoding (HMP). HMP is a combination of linear and nonlinear precoding. The number of transmit antennas less than or equal to four is as same as the conventional antenna selection scheme. Therefore, the HMP scheme uses more than four transmit antennas. The good channel means that the channels must be selected to maximize the channel capacity among the given channels, and the rest channels are called bad channel. In HMP scheme, we use the nonlinear precoding in the good channels and the linear precoding in the bad channels. The well-known Tomlinson-Harashima precoding (THP) is considered as nonlinear precoding. The system throughput and MSE (minimum square error) are shown for the performance of HMP scheme compared to the conventional schemes which are BD (block diagonalization), antenna selection and THP.