• Title/Summary/Keyword: Biological Signals

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Cytokinin and Nitrogen-Mediated Gene Regulation for $C_4$ Photosynthesis

  • Sugiyama, Tatsuo;Takei, Kentaroch;Deji, Atsushi;Tanguichi, Mitsutaka;Sakakibara, Hitoshi
    • Proceedings of the Botanical Society of Korea Conference
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    • 1996.06a
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    • pp.50-63
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    • 1996
  • Nitrogen (N) is an important regulator of the expression of genes involved in carbon and N assimilation pathways in plants by selectively altering the levels of proteins and/or mRNAs. These in C4 plants include genes for such as phosphoenolpyruvate carboxylase, carbonic anhydrase, and pyruvate-Pi dikinase. The C4 genes are regulated in mesophyll cells by N availability both transcriptionally and posttranscriptionally through cytokinins and glutamine as signals. The level of both the signals is up-regulated by N availability: cytokinins in roots and glutamine in leaves. The level of glutamine is controlled by the differential expression by N of glutamine synthetase and ferrdoxin-dependent glutamate synthase genes which locate in the mesophyll cells of C4 plants. The results is discussed as molecular mechanism for the greater N use efficiency of the plants as well as N partitioning is the photosynthetic cells.

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An analysis of Ultrasound signals using wavelet transform (I) (Wavelets 변환을 이용한 초음파 신호의 분석 (I))

  • Hong, S.W.;Yoon, S.J.;Choi, H.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.05
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    • pp.391-394
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    • 1997
  • In this paper, we considered newly the use of wavelet transform in order to improve the troubles of the established methods for the analysis of ultrasound echo signals. We made the phantoms of 13.2g, 19.8g, 26.4g, 33.0g, 39.8g by ourselves, and extracted the only pulse-echo signals that reflected through the mediums using windowing technique. For determining the characterized value, the signals were wavelet transformed, absoluted, and integral calculated. As the result, we acquired characterized value of each signals, and acknowledged the differences among them except of some datas. But this will be improved by advanced work as sellecting a proper mother wavelet, a method of making phantoms, correcting the various errors, etc. We expect that wavelet transform is powerful for analysis of ultrasound signals.

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A Study or Analysis of EMG Signals using Wavelet transform (웨이브렛 변환을 이용한 근전도 신호 분석에 관한 연구)

  • Kang, S.C.;Shin, C.K.;Lee, S.M.;Kwon, J.W.;Hong, S.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.59-62
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    • 1997
  • In this paper, we used Wavelet Transform to analyze EMG signals. Wavelet transform has an advantage of dividing the nonstationary signals into the high frequency and low frequency band effectively. For determining the characterized value of EMG signals, it was wavelet-transformed, absoluted, and integral-calculated. As the result, we acquired characterized value of each signals, and acknowledged the differences among them. It was concluded that the results of this study using wavelet transform could be used to powerful tool or analysis of EMG signals.

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HMM-Based Automatic Speech Recognition using EMG Signal

  • Lee Ki-Seung
    • Journal of Biomedical Engineering Research
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    • v.27 no.3
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    • pp.101-109
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    • 2006
  • It has been known that there is strong relationship between human voices and the movements of the articulatory facial muscles. In this paper, we utilize this knowledge to implement an automatic speech recognition scheme which uses solely surface electromyogram (EMG) signals. The EMG signals were acquired from three articulatory facial muscles. Preliminary, 10 Korean digits were used as recognition variables. The various feature parameters including filter bank outputs, linear predictive coefficients and cepstrum coefficients were evaluated to find the appropriate parameters for EMG-based speech recognition. The sequence of the EMG signals for each word is modelled by a hidden Markov model (HMM) framework. A continuous word recognition approach was investigated in this work. Hence, the model for each word is obtained by concatenating the subword models and the embedded re-estimation techniques were employed in the training stage. The findings indicate that such a system may have a capacity to recognize speech signals with an accuracy of up to 90%, in case when mel-filter bank output was used as the feature parameters for recognition.

Digital Signal Processing for Improvement of Resolution in A-mode (A-mode의 분해능향상을 위한 디지탈 신호처리)

  • 최종호;최종수
    • Journal of Biomedical Engineering Research
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    • v.6 no.1
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    • pp.31-36
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    • 1985
  • In this paper, we describe the digital signal-processing for ultrasonic echo signals for the improvement of range resolution. The problem is to find the magnitude of analytic signals that are consistent with the arrival-rate of energy. It is also baaed upon the fact that the shapes of echo signals do not change, although the ampli- tudes and widths of the echo signals become smaller and wider than those of the transmitted signals. We have made the improvement in range resolution by using the quadrature-low pass filter and the area filter which are made on the basis of the theory discussed above.

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Preliminary Study on the Detection of Late Potentials using High-Resolution Electrocardiography (HRECG에 의한 Late Potential의 검출에 관한 예비 연구)

  • Woo, Eung-Je;Park, Seung-Hun
    • Proceedings of the KOSOMBE Conference
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    • v.1993 no.05
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    • pp.63-65
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    • 1993
  • We have done a preliminary study on the detection of ventricular late potentials using high-resolution electrocardiography. We designed a battery powered low-noise ECG amplifier. We used the XYZ lead system and the amplifier provides 3 channels of X, Y, and Z signals with a conventional gain and another 3 channels of the amplitude-limited X, Y, and Z signals with high-gain. 12-bit data acquisition system interfaces the amplifiers to a personal computer for further signal analysis. Beat alignment algorithm was implemented on the low-gain signals to synchronize the signal averaging of the high-gain amplitude-limited signals. We suggest the use of the weighted vector sum of X', Y', and Z' signals based on the SNR of each channel. We speculate that this new method will increase the accuracy of the LP detector at the expense of more complicated hardware.

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Monitoring and Controlling Uniformity of Plasma Emission Intensity for IGZO Sputtering Process (IGZO박막 증착 공정에서 플라즈마 방출광 모니터링 및 플라즈마 균일도 제어)

  • Choi, Jinwoo;Hwang, Sang Hyuk;Kim, Woo Jae;Shin, Gi Won;Kwon, Heui Tae;Jo, Tae Hoon;Woo, Won Gyun;Cha, Sung Duk;An, Byung Chul;Park, Wan Woo;Do, Jae Chul;Kwon, Gi-Chung
    • Journal of the Semiconductor & Display Technology
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    • v.15 no.4
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    • pp.27-32
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    • 2016
  • In recent years, various researches have been conducted to improve process yields in accordance with miniaturization of semiconductor. APC(Advanced Process Control) is considered one of the methods to increase in process yields. APC is a process control technology that maintains optimal process conditions and improves the reliability of results by controlling and formulating the relationship among the various process parameters and results. We built up an optical diagnostic system with a three-channel spectrometer. The system detects signals those represent the changes of specific emission peaks intensity versus each reference and converts it into MFC control signals to get back the changes to the reference state. Controlling the MFC continues until the specific peak intensity changes into the normal state. Through this device, we tested a APC automatically responding to process changes during the plasma process. We could control gas flow while sputtering process on going and improve uniformity of plasma intensity with this system. Finally, we have got results those enhance the plasma intensity non-uniformity to 7.7% from 15.5%. Also, found unexpected oxygen flow what is estimated to be come out from IGZO target.

Geographic variation in the acoustic signals of black-billed magpies (Pica pica) in South Korea and Japan

  • Lee, Sang-Im;Lee, Sun-Hee;Nam, Hyun-Young;Choe, Jae-Chun
    • Journal of Ecology and Environment
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    • v.34 no.2
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    • pp.167-174
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    • 2011
  • Black-billed magpies (Pica pica) are a highly sedentary species due to their short and round wings, which are not adequate for long distance flights. We investigated geographic variation in the vocal signals of magpies residing in South Korea and Japan (subspecies sericea). Based on the magpie's limited dispersal ability, we predicted that the variation in vocal signals of black-billed magpies could be explained by geographic barriers such as mountain ranges and straits. We analyzed four-syllable chatter calls of magpies from five localities in South Korea, which are separated by mountain ranges (Seoul, Daejeon, Daegu, Gwangju, and Busan), and two island localities separated from the mainland by straits (Jeju in Korea and Saga in Japan). We found significant differences in the characteristics of magpie chatter calls recorded in the seven localities, and the variation pattern was independent among the variables. Mainland-island differentiation and north-south differentiation were observed. In general, magpies on Saga were the most distinctive. North-south differentiation was observed among the Korean mainland localities. However, the pattern was not related to the presence of putative geographic barriers. We hypothesize that the patterns of geographic variation in the structure of magpie chatter calls residing in South Korea might have been shaped by a sudden expansion of magpies followed by low level of local isolation, which may have led to vocal differentiation. Along with elucidating the vocal environment of Korean magpie populations, more extensive sampling is needed to clarify the functional aspects of geographic variation in the vocal signals of Korean magpies.

A Study on the Quantitative Regularity Measures That Are Suitable for Biological Signal Analysis - Standard Data and 24 Hour R-R interval Analysis

  • Nam, Y.H.;Lee, J.M.;Han, J.M.;Park, K.S.
    • Proceedings of the KOSOMBE Conference
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    • v.1998 no.11
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    • pp.197-198
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    • 1998
  • We tested the capability of Pointwise Correlation Dimension(PD2), Approximate Entropy (ApEn) and LZ complexity, as alternative measures of a biological signal. For this purpose, we analyzed standard data and a healthy child's 24-hour heart rate variability. Our conclusion is as follows. First, PD2, ApEn and LZ complexity can be used for discerning chaotic attractor, white noise, and periodic signal. Second, these measures show different characteristics on day and night. Third, these measures can be used for detecting time-varying characteristics of biological signals.

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