• Title/Summary/Keyword: Multi-Frequency

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Estimation of Dynamic Motions and Mooring Forces for Floating Type Offshore Platform Based on Hydrodynamic Analysis (동수력학 해석 기반 부유식 해양 플랫폼의 동적 운동 및 계류력 산정)

  • Cha, Ju-Hwan;Moon, Chang-Il;Song, Chang-Yong
    • Journal of Ocean Engineering and Technology
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    • v.26 no.2
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    • pp.48-57
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    • 2012
  • This paper deals with numerical analyses in the context of estimations of hydrodynamic motions and dynamic loads for a floating type offshore platform using some exclusive simulation code such as code for the simulation of a floating type of offshore crane based on multi-body dynamics, along with the commercial code AQWA. Verifications of numerical models are carried out by comparing the RAO results from the simulation code. In the verification analyses, hydrodynamic motions are examined in the frequency domain for the floating type offshore platform according to the mooring lines. Both the hydrodynamic motions and dynamic loads are estimated for floating type offshore platforms equipped with the catenary type and taut mooring lines. A review and comparison are carried out for the numerically estimated results. The structural safety of the connection parts in an offshore structure such as a floating type offshore platform is one of the most important design criteria in view of fatigue life. The dynamic loads in the connecting area between a floating type offshore platform and its mooring lines are estimated in detail according to variations in the mechanical properties of the mooring lines. The dynamic tension load on the mooring lines is also estimated.

Association rule thresholds of similarity measures considering negative co-occurrence frequencies (동시 비 발생 빈도를 고려한 유사성 측도의 연관성 규칙 평가 기준 활용 방안)

  • Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.6
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    • pp.1113-1121
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    • 2011
  • Recently, a variety of data mining techniques has been applied in various fields like healthcare, insurance, and internet shopping mall. Association rule mining is a popular and well researched method for discovering interesting relations among large set of data items. Association rule mining is the method to quantify the relationship between each set of items in very huge database based on the association thresholds. There are three primary quality measures for association rules; support and confidence and lift. In this paper we consider some similarity measures with negative co-occurrence frequencies which is widely used in cluster analysis or multi-dimensional analysis as association thresholds. The comparative studies with support, confidence and some similarity measures are shown by numerical example.

Relationship Analysis of Break-up Mode and Heat Transfer of Micro-Speaker Diaphragm (마이크로 스피커 진동판에 대한 분할진동 모드와 열전달의 관계 분석)

  • Kim, Hyun-Kab;Kim, Hie-Sik
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.4
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    • pp.333-336
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    • 2017
  • A speaker diaphragm generates a divided vibration. The influence of the break-up mode is sufficient to cause a shape change in the diaphragm. In this paper, is widely used in ultra-thin multi-media devices, including smart phones is the advance guard of the IT sector, the micro-speakers and its target. Micro-speakers are different from general speakers. The plate has structural form and space constraints. In particular, they utilize a closed-type drive space. It is difficult to provide cooling for the auxiliary suspension structure because of the heat generated in the moving coil. The present study considered the relationship between the break-up mode and the heat transfer of the diaphragm. An experiment was conducted in two stages to compare the embodiment of the break-up mode and heat transfer in a certain frequency range. The changes in the heat were determined through measurements and thermal imaging of the break-up mode. The break-up mode tendency of the diaphragm could be rapidly predicted based on the imaging results using the thermal imaging camera. This will help in the optimal design of micro-speakers.

The Vertical Alignment of CNTs and Ni-tip Removal by Etching at ICPHFCVD (ICPHFCVD에 의한 탄소나노튜브의 수직 배향과 에칭을 이용한 Ni-tip의 제거)

  • 김광식;장건익;장호정;류호진
    • Journal of the Microelectronics and Packaging Society
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    • v.9 no.4
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    • pp.55-60
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    • 2002
  • This paper presents a technique for the preparation of vertically grown CNTs by ICPHFCVD(inductively coupled plasma hot filament chemical vapor deposition) below $580^{\circ}C$. Purification of the CNTs(carbon nanotubes) using RE(radio frequency) plasma in a one step process, based on the different etching property of the Ni-tip, amorphous carbon and carbonaceous materials is also discussed. After purifying the grown materials. CNTs shown the multi walled and hollow typed structure. The typical outer and inner diameters or CNT were 50 nm and 25 nm, respectively. The graphitic wall was composed of 82 layers and the distance between wall and wall was 0.34 nm. From the results of TEM observation, the Ni catalyst at the tip of the carbon nanotubes were effectively removed by using a RF plasma etching, continuously.

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Phoneme-Boundary-Detection and Phoneme Recognition Research using Neural Network (음소경계검출과 신경망을 이용한 음소인식 연구)

  • 임유두;강민구;최영호
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 1999.11a
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    • pp.224-229
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    • 1999
  • In the field of speech recognition, the research area can be classified into the following two categories: one which is concerned with the development of phoneme-level recognition system, the other with the efficiency of word-level recognition system. The resonable phoneme-level recognition system should detect the phonemic boundaries appropriately and have the improved recognition abilities all the more. The traditional LPC methods detect the phoneme boundaries using Itakura-Saito method which measures the distance between LPC of the standard phoneme data and that of the target speech frame. The MFCC methods which treat spectral transitions as the phonemic boundaries show the lack of adaptability. In this paper, we present new speech recognition system which uses auto-correlation method in the phonemic boundary detection process and the multi-layered Feed-Forward neural network in the recognition process respectively. The proposed system outperforms the traditional methods in the sense of adaptability and another advantage of the proposed system is that feature-extraction part is independent of the recognition process. The results show that frame-unit phonemic recognition system should be possibly implemented.

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Blind Watermarking Using by Multi-wavelet Transform and Binary Image (다중 웨이블릿 변환과 이진영상을 이용한 Blind 워터마킹)

  • Kim, Tae-Ho;Park, Mu-Hun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.413-416
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    • 2005
  • Developement of computer and digitalizing of medical implement are being caused digitalizing of medical image. Medical Images are being managed more by PACS. In this situation comes out many problem about ownership, the right of properity of the medical images and notice wheather the data are modified. Digital watermarking can solve this problem. The proposed schemes have a two weak point that Non-blind method need a original image and Blind method use gaussian watermarking. In this paper, we propose a blind watermarking using binary image in order to easily recognize result of watermark This proposed scheme using wavelet transform and Circular Input method that input in medium-band of frequency domain.

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A Study on the Protocol Design and Implementation for an Underwater Acoustic Multi-channel Digital Communication (수중 초음파 디지탈 이동통신을 위한 프로토콜 설계 및 구현에 관한 연구)

  • 박연식;임재홍
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.4 no.1
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    • pp.179-189
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    • 2000
  • Recently, due to the increasing interests in deep sea development, all possible efforts to the development of underwater unmanned working vehicles such as AUV(Autonomous Underwater Vehicle) or underwater robot are exerted. This paper proposes a new efficient acoustic-based underwater image data communication system, which ensures a certain level of maximum throughput regardless of the propagation delay of ultrasonic and allowsfast data transmission through the multiple ultrasonic communication channel. Proposed system consists of an acoustic transducer which operates at 136kHz center frequency and it's 10kHz bandwidth, pre-amplifier, $\pi/4 QPSK$(Quadrature Phase Shift Keying) modulation/demodu-lation method, image compressing method using JPEG technique and modified Stop & Wait protocol. The experimental result of the system make it possible to transfer the underwater image as a high throughput at the basin test. The results of test are also verified which allows to desirable transmission performance compared with the existing developed system and the possibility to put the practical use of survey and investigation in the water.

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A Study on Spectrum Moment Estimation in an Acoustic Doppler Current Profiler (ADCP에서의 스펙트럼 모멘트 추정에 관한 연구)

  • Lee, Jonggil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.8
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    • pp.1790-1795
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    • 2013
  • The current velocity and turbulence information in each range cell can be obtained from the first and second Doppler spectrum moment estimates. However, the very widely used correlation method often called as the pulse-pair method has the inherent restrictions under the highly turbulent conditions since it does not satisfy the assumptions that the return Doppler spectrum should be symmetric and have a single peak value. Therefore, in this paper, the quality of pulse-pair estimates were compared with that of FFT estimates for problem analysis using various shapes of simulated Doppler spectra. It can be known that the pulse-pair method often yields meaningless results if the received signals are severely biased or multi-peak Doppler spectra in the Doppler frequency domain.

An Efficient Packet Scheduling Scheme to support Real-Time Traffic in OFDMA Systems (OFDMA 시스템에서 실시간 트래픽 전송을 위한 효율적 스케쥴링 기법)

  • Park, Jeong-Sik;Cho, Ho-Shin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.1A
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    • pp.13-23
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    • 2007
  • In this paper, a packet scheduling scheme that supports real-time traffic having multi-level delay constraints in OFDMA systems is proposed. The proposed scheme pursues to satisfy the delay constraint first, and then manage the residual radio resource in order to enhance the overall throughput. A parameters named tolerable delay time (TDT) is newly defined to deal with the differentiated behaviors of packet scheduling according to the delay constraint level. Assuming that the packets violating the delay constraint are discarded, the proposed scheme is evaluated in terms of the packet loss probability, throughput, channel utilization. It is then compared with existing schemes for real-time traffic support such as the Exponential Scheduling (EXP) scheme, the Modified Largest Weighted Delay First (M-LWDF) scheme, and the Round robin scheme. The numerical results show that the proposed scheduling scheme performs much better than the aforementioned scheduling schemes in terms of the packet loss probability, while slightly better in terms of throughput and channel utilization.

The Font Recognition of Printed Hangul Documents (인쇄된 한글 문서의 폰트 인식)

  • Park, Moon-Ho;Shon, Young-Woo;Kim, Seok-Tae;Namkung, Jae-Chan
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.8
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    • pp.2017-2024
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    • 1997
  • The main focus of this paper is the recognition of printed Hangul documents in terms of typeface, character size and character slope for IICS(Intelligent Image Communication System). The fixed-size blocks extracted from documents are analyzed in frequency domain for the typeface classification. The vertical pixel counts and projection profile of bounding box are used for the character size classification and the character slope classification, respectively. The MLP with variable hidden nodes and error back-propagation algorithm is used as typeface classifier, and Mahalanobis distance is used to classify the character size and slope. The experimental results demonstrated the usefulness of proposed system with the mean rate of 95.19% in typeface classification. 97.34% in character size classification, and 89.09% in character slope classification.

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