• Title/Summary/Keyword: digit

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The Development of IDMLP Neural Network for the Chip Implementation and it's Application to Speech Recognition (Chip 구현을 위한 IDMLP 신경 회로망의 개발과 음성인식에 대한 응용)

  • 김신진;박정운;정호선
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.5
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    • pp.394-403
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    • 1991
  • This paper described the development of input driven multilayer perceptron(IDMLP) neural network and it's application to the Korean spoken digit recognition. The IDMPLP neural network used here and the learning algorithm for this network was proposed newly. In this model, weight value is integer and transfer function in the neuron is hard limit function. According to the result of the network learning for the some kinds of input data, the number of network layers is one or more by the difficulties of classifying the inputs. We tested the recognition of binaried data for the spoken digit 0 to 9 by means of the proposed network. The experimental results are 100% and 96% for the learning data and test data, respectively.

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A/D Converter for Digital Voltmeter (계수형 전압계를 위한 A/D 변환기)

  • No, Hong-Jo;Gang, Jeong-Su;Lee, Gwon-Ha
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.8 no.5
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    • pp.1-9
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    • 1971
  • An analog to digital converter Ivhich is applicable to mass production of digital multimeter is developed. The solid state digital instrument has accuracy $\pm$0.1% of feading $\pm$1 digit over 1 mV to 1000 volts with high input impedance and automatic function. All possibility to affect the distortion of A/D converter is tudied. As a result, useful linearity with high temperature stability of integrating waveforms is achieved by the very simplified circuit configuration to assure the proposed accuracy under various ambient condition.

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Parallel, self-organizing, hierarchical neural networks for handwritten digit recognition (필기체 숫자인식을 위한 병렬 자구성 계층 신경회로망)

  • 방극준;조남신;강창언;홍대식
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.7
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    • pp.173-182
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    • 1996
  • In this paper, we propose the parallel, self-organizing, hierarchical neural netowrks as a handwritten digit recognition system. This system can absorb the various shape variations of handwritten digits by using the different methods of extracting the features in each stage neural network (SNN) of the PSHNN, and can reduce training time by using the single layer neural network as the SNN, and can obtain high rate of correct recognition by using the certainty area in all the output nodes individually. experiments have been performed with NIST database. In which we use 21, 315 digits (10, 625 digits for training and 10,663 digits for testing). The results show that the correct rate is 97.48% the error rate is 1.72% and the reject rate is 0.78%.

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A Hybrid Decimal Division Algorithm

  • Kwon Soonyoul;Choi Jonghwa;Park Jinsub;Han Seonkyoung;You Younggap
    • Proceedings of the IEEK Conference
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    • summer
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    • pp.225-228
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    • 2004
  • This paper presents a hybrid decimal division algorithm to improve division speed. In a binary number system, non-restoring algorithm has a smaller number of operations than restoring algorithm. In decimal number system, however, the number of operations differs with respect to quotient values. Since one digit ranges 0 to 9 in decimal, the proposed hybrid algorithm employ either non-restoring or restoring algorithm on each digit to reduce iterative operations. The selection of the algorithm is based on the remainder values. The proposed algorithm improves computation speed substantially over conventional algorithms by decreasing the number of operations.

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Outflow properties of DIGIT embedded sources

  • Kang, Seonmi;Lee, Jeong-Eun;Choi, Minho;Evans, Neal
    • The Bulletin of The Korean Astronomical Society
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    • v.38 no.1
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    • pp.51.2-51.2
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    • 2013
  • We present observational results of CO outflows towards 24 embedded young stellar objects (YSOs), which are selected from the targets of the Herschel key program, "Dust, Ice, and Gas in Time" (DIGIT). Molecular outflow activity, which is believed to have strong dependence on accretion process, is the most powerful in the early embedded phase of star formation and declines as the central protostars evolve to the main sequence stage. In order to study the relation between the CO outflows observed in low J transitions and the properties of protostars, we mapped the CO outflows of the selected targets in J=1-0 and J=2-1 with the 14-m TRAO telescope and the 6-m SRAO telescope, respectively. We also compare the CO outflow momentum fluxes with the FIR molecular line luminosities of CO, $H_2O$, OH, and OI, which were detected by the Herschel-PACS observations.

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"Dust, Ice, and Gas In Time" (DIGIT) Herschel observations of GSS30-IRS1

  • Je, Hyerin;Lee, Jeong-Eun
    • The Bulletin of The Korean Astronomical Society
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    • v.38 no.1
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    • pp.50.1-50.1
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    • 2013
  • As part of the DIGIT key program, we observed GSS30-IRS1, a Class I object located in Ophiuchus (d=125 pc), with Herschel-PACS. More than 70 lines were detected: CO lines of $J=14{\rightarrow}13$ to $41{\rightarrow}40$, several $H_2O$ lines of Eu=100 to 1500 K, 16 OH lines, and two atomic [OI] lines at 63 and 145 ${\mu}m$. All lines, except for [OI], were detected only at the central spaxel of $9.4^{\prime\prime}{\times}9.4^{\prime\prime}$ while the [OI] emission is extended along the NE-SW direction. One interesting feature in GSS30-IRS1 is that the continuum is extended beyond PSF, unlike the line emission. For detail analysis, we apply the non-LTE LVG model, RADEX as well as simple rotational diagrams to the detected line fluxes. We will discuss about the physical conditions around GSS30-IRS1, learned by the line flux analysis.

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Multi-Operand Radix-2 Signed-Digit Adder using Current Mode MOSEET Circuits

  • Sakamoto, Masahiro;Hamano, Daisuke;Higuchi, Yuuichi;Kiriya, Takechika;Morisue, Mititada
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.167-170
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    • 2000
  • This paper describes a novel multi-operand radix-2 signed-digit(SD) adder. The novel multi-operand addition algorithm can eliminate carry propagation chain by dividing the input operands into even place part and odd place part, and adding them each. The multi-operand adder with this algorithm can add six operands in parallel, and is faster than the ordinary method of SD adder binary tree. A hardware model for proposed adder is shown which is implemented by the current-mode MOSFET circuit technology. Simulations have been made by SPICE in order to verify the function of the proposed circuit.

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An Isolated Word Recognition Using the Mellin Transform (Mellin 변환을 이용한 격리 단어 인식)

  • 김진만;이상욱;고세문
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.5
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    • pp.905-913
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    • 1987
  • This paper presents a speaker dependent isolated digit recognition algorithm using the Mellin transform. Since the Mellin transform converts a scale information into a phase information, attempts have been made to utilize this scale invariance property of the Mellin transform in order to alleviate a time-normalization procedure required for a speech recognition. It has been found that good results can be obtained by taking the Mellin transform to the features such as a ZCR, log energy, normalized autocorrelation coefficients, first predictor coefficient and normalized prediction error. We employed a difference function for evaluating a similarity between two patterns. When the proposed algorithm was tested on Korean digit words, a recognition rate of 83.3% was obtained. The recognition accuracy is not compatible with the other technique such as LPC distance however, it is believed that the Mellin transform can effectively perform the time-normalization processing for the speech recognition.

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Guitar Tab Digit Recognition and Play using Prototype based Classification

  • Baek, Byung-Hyun;Lee, Hyun-Jong;Hwang, Doosung
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.9
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    • pp.19-25
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    • 2016
  • This paper is to recognize and play tab chords from guitar musical sheets. The musical chord area of an input image is segmented by changing the image in saturation and applying the Grabcut algorithm. Based on a template matching, our approach detects tab starting sections on a segmented musical area. The virtual block method is introduced to search blanks over chord lines and extract tab fret segments, which doesn't cause the computation loss to remove tab lines. In the experimental tests, the prototype based classification outperforms Bayesian method and the nearest neighbor rule with the whole set of training data and its performance is similar to that of the support vector machine. The experimental result shows that the prediction rate is about 99.0% and the number of selected prototypes is below 3.0%.

Herschel-PACS Observations of YSOs

  • Lee, Jin-Hui;Lee, Jeong-Eun;DIGIT team, DIGIT team
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.1
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    • pp.84.1-84.1
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    • 2011
  • We observed several young stellar objects (YSOs) using the Photodetector Array Camera and Spectrometer (PACS) aboard the Herschel Space Observatory. CO, OH, $H_2O$, [O I], and [C II] lines were detected. CO rotational diagrams show two distinct gas components of ~400 K and ~1000 K with a break around 1500 K of the CO excitation energy, indicative of two different heating mechanisms: PDR and outflow shocks. OH and $H_2O$ line fluxes can be fitted with temperatures different from what are derived from the CO rotational diagrams. In order to understand the physical environment of line formation, the sources were modeled with the 3-D radiative transfer code, LIME. We present the results of observations, simple analysis, and modeling of Herschel-PACS spectra of the YSOs.

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