• Title/Summary/Keyword: Differential Signal

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Camphor Inhibits Adipocyte Differentiation via Its Impact on SMO-dependent Regulation of Hedgehog Signaling (Camphor의 Hedgehog 신호 SMO 조절을 통한 지방구세포 분화 억제효과)

  • Choi, Jae Young;Lim, Jong Seok;Lee, Ja Bok;Yang, Yung Hun
    • Journal of Life Science
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    • v.30 no.11
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    • pp.973-982
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    • 2020
  • In this study, we examined inhibition of adipocyte differentiation associated with the administration of camphor, a substance identified in extracts of the flowering plant Chrysanthemum indicum L. (CI). No camphor-mediated cytotoxicity was observed over a period of 1-10 days in studies targeting cells of the 3T3-L1 adipocyte-like line. Experiments that featured siRNA-mediated suppression of the transmembrane proteins Patched (PTCH) and Smoothened (SMO) resulted in inhibition and activation of differentiation, respectively. Interestingly, inhibition of PTCH typically activates SMO protein targeting and serves to activate hedgehog (HH)-mediated signaling. The results of our study suggest that activation of HH-mediated signaling can inhibit adipocyte differentiation. Furthermore, expression of glioma-associated oncogene homologue 1 (Gli1) was detected by flow cytometry in 62.7±1.5% of cells in response to administration of Lactobacillus rhamnosus (KCTC 3237) and in 60.4±2.2% of cells in response to camphor; these levels are higher than those detected in undifferentiated controls (24.9±3.1%). No change in the state of fermented camphor was identified by gas chromatography-mass spectrometry (GC-MS), but a 15.41% quantitative increase was confirmed in KCTC 3237. Overall, we conclude that administration of camphor resulted in overexpression of SMO and modulated the differential expression of Gli1. Animal studies focused on the impact of camphor as an agent to counteract obesity might be considered in the future. Indeed, camphor and similar physiologically active compounds from fermented CI might be developed as new and effective treatments for obesity.

A 2.4-GHz Low-Power Direct-Conversion Transmitter Based on Current-Mode Operation (전류 모드 동작에 기반한 2.4GHz 저전력 직접 변환 송신기)

  • Choi, Joon-Woo;Lee, Hyung-Su;Choi, Chi-Hoon;Park, Sung-Kyung;Nam, Il-Ku
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.48 no.12
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    • pp.91-96
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    • 2011
  • In this paper, a low-power direct-conversion transmitter based on current-mode operation, which satisfies the IEEE 802.15.4 standard, is proposed and implemented in a $0.13{\mu}m$ CMOS technology. The proposed transmitter consists of DACs, LPFs, variable gain I/Q up-conversion mixer, a divide-by-two circuit with LO buffer, and a drive amplifier. By combining DAC, LPF, and variable gain I/Q up-conversion mixer with a simple current mirror configuration, the transmitter's power consumption is reduced and its linearity is improved. The drive amplifier is a cascode amplifier with gain controls and the 2.4GHz I/Q differential LO signals are generated by a divide-by-two current-mode-logic (CML) circuit with an external 4.8GHz input signal. The implemented transmitter has 30dB of gain control range, 0dBm of maximum transmit output power, 33dBc of local oscillator leakage, and 40dBc of the transmit third harmonic component. The transmitter dissipates 10.2mW from a 1.2V supply and the die area of the transmitter is $1.76mm{\times}1.26mm$.

Protein Kinase C (PKC) in Cellular Signalling System: Translocation of Six Protein Kinase C Isozymes in Human Prostate Adenocarcinoma PC-3 Cell Line (세포신호계에 있어서 Protein Kinase C: 사람의 전입선 adenocarcinoma PC-3 세포내의 여섯개의 Protein kinase C 동립효소의 translocation)

  • Park, Won-Chul;Ahn, Chang-Ho
    • The Korean Journal of Zoology
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    • v.36 no.4
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    • pp.439-451
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    • 1993
  • Protein kinase C isozymes in a human prostate adenocarcinoma PC-3 cell line were characterized. Immunoreactive bands and immunocytochemical stains were obsenred in PC-3 cells with antibodies raised against protein kinase C ${\alpha}$, ${\beta}$, ${\gamma}$, $\delta$, $\varepsilon$, and ζ types, respectively. Protein kinase C ${\alpha}$ corresponded to a immunoreactive band at a molecular weight of 80,000-dalton, whereas molecular weights of other immunoreactive isozvmes of protein kinase C were detected at 68,000-dalton. Protein kinHse C $\delta$ and ζ antibodies detected additional bands at 55,000-dalton and 80,000-dalton, respectively Immunocvtochemical study confirmed the results of the immunoblotting experiments qualitatively: all six protein kinase C isozymes were detected in the cytoplasm of PC-3 cells. Translocation of protein kinase C in PC-3 cells were also examined with phorbol 12-myristate 13-acetate (PMA), bryostatin 2, diolein, and 1-oleoyl-2-acetyl glycerol (OAG). Differential reactions of protein kinase C isozvmes to these activators were obsenred. When PC-3 cells were treated with 10mM bryostatin 2, protein kinase C isozyme u was translocated into the nucleus, whereas s type was translocated into the plasma membrane and the nucleus. Protein kinase C ${\alpha}$ and ζ types were translocated into the nucleus following the treatment with 101M diolein, whereas protein kinase C ${\alpha}$, ${\beta}$, ${\gamma}$, and $\varepsilon$ types were translocated into the nucleus by the treatment with 10mM OAG. Protein kinase C ${\alpha}$ and $\varepsilon$ types were translocated into the nucleus in the presence of 100nM PMA. Protein kinase C $\delta$ type was translocated to the nuclear membrane by these activators, however, only PMA-induced translocation was inhibited by protein kinase C inhibitor, 1-(5-isoquinolinesulfonyll-2-methvlpiperazine dihvdrochloride (H7) . H7 inhibited translocation of protein kinase C ${\alpha}$ type induced by PMA, ${\beta}$ type by OAG and s type by PMA and OAG, whereas it did not affect translocations induced by bryostatin and diolein, respectively. These results suggest that there exist six isoformes of protein kinase C (${\alpha}$, ${\beta}$, ${\gamma}$, $\delta$, $\varepsilon$ and ζ types) in PC-3 cells and that each of these isozvmes distinctivelv reacts to bryostatin, diolein, OAG and PMA, in part due to an altered molecular size and conceivably discrete binding site(s).

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A Study on High-Precision DEM Generation Using ERS-Envisat SAR Cross-Interferometry (ERS-Envisat SAR Cross-Interferomety를 이용한 고정밀 DEM 생성에 관한 연구)

  • Lee, Won-Jin;Jung, Hyung-Sup;Lu, Zhong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.4
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    • pp.431-439
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    • 2010
  • Cross-interferometic synthetic aperture radar (CInSAR) technique from ERS-2 and Envisat images is capable of generating submeter-accuracy digital elevation model (DEM). However, it is very difficult to produce high-quality CInSAR-derived DEM due to the difference in the azimuth and range pixel size between ERS-2 and Envisat images as well as the small height ambiguity of CInSAR interferogram. In this study, we have proposed an efficient method to overcome the problems, produced a high-quality DEM over northern Alaska, and compared the CInSAR-derived DEM with the national elevation dataset (NED) DEM from U.S. Geological Survey. In the proposed method, azimuth common band filtering is applied in the radar raw data processing to mitigate the mis-registation due to the difference in the azimuth and range pixel size, and differential SAR interferogram (DInSAR) is used for reducing the unwrapping error occurred by the high fringe rate of CInSAR interferogram. Using the CInSAR DEM, we have identified and corrected man-made artifacts in the NED DEM. The wave number analysis further confirms that the CInSAR DEM has valid Signal in the high frequency of more than 0.08 radians/m (about 40m) while the NED DEM does not. Our results indicate that the CInSAR DEM is superior to the NED DEM in terms of both height precision and ground resolution.

An Efficient Composite Image Separation by Using Independent Component Analysis Based on Neural Networks (신경망 기반 독립성분분석을 이용한 효율적인 복합영상분리)

  • Cho, Yong-Hyun;Park, Yong-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.3
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    • pp.210-218
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    • 2002
  • This paper proposes an efficient separation method of the composite images by using independent component analysis(ICA) based on neural networks of the approximate learning algorithm. The Proposed learning algorithm is the fixed point(FP) algorithm based on Secant method which can be approximately computed by only the values of function for estimating the root of objective function for optimizing entropy. The secant method is an alternative of the Newton method which is essential to differentiate the function for estimating the root. It can achieve a superior property of the FP algorithm for ICA due to simplify the composite computation of differential process. The proposed algorithm has been applied to the composite signals and image generated by random mixing matrix in the 4 signal of 500-sample and the 10 images of $512{\times}512-pixel$, respectively The simulation results show that the proposed algorithm has better performance of the learning speed and the separation than those using the conventional algorithm based method. It also solved the training performances depending on initial points setting and the nonrealistic learning time for separating the large size image by using the conventional algorithm.

Stage specific transcriptome analysis of liver tissue from a crossbred Korean Native Pig (KNP × Yorkshire)

  • Kumar, Himansu;Srikanth, Krishnamoorthy;Park, Woncheol;Lee, Kyung-Tai;Choi, Bong-Hwan;Kim, Jun-Mo;Lim, Dajeong;Park, Jong-Eun
    • Journal of Biomedical and Translational Research
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    • v.19 no.4
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    • pp.116-124
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    • 2018
  • Korean Native Pig (KNP) has a uniform black coat color, excellent meat quality, white colored fat, solid fat structure and good marbling. However, its growth performance is low, while the western origin Yorkshire pig has high growth performance. To take advantage of the unique performance of the two pig breeds, we raised crossbreeds (KNP ${\times}$ Yorkshire to make use of the heterotic effect. We then analyzed the liver transcriptome as it plays an important role in fat metabolism. We sampled at two stages: 10 weeks and at 26 weeks. The stages were chosen to correspond to the change in feeding system. A total of 16 pigs (8 from each stage) were sampled and RNA sequencing was performed. The reads were mapped to the reference genome and differential expression analysis was performed with edgeR package. A total of 324 genes were found to be significantly differentially expressed (${\left|log2FC\right|}$ > 1 & q < 0.01), out of which 180 genes were up-regulated and 144 genes were down-regulated. Principal Component Analysis (PCA) showed that the samples clustered according to stages. Functional annotation of significant DEGs (differentially expressed genes) showed that GO terms such as DNA replication, cell division, protein phosphorylation, regulation of signal transduction by p53 class mediator, ribosome, focal adhesion, DNA helicase activity, protein kinase activity etc. were enriched. KEGG pathway analysis showed that the DEGs functioned in cell cycle, Ras signaling pathway, p53 signaling pathway, MAPK signaling pathway etc. Twenty-nine transcripts were also part of the DEGs, these were predominantly Cys2His2-like fold group (C2H2) family of zinc fingers. A protein-protein interaction (PPI) network analysis showed that there were three highly interconnected clusters, suggesting an enrichment of genes with similar biological function. This study presents the first report of liver tissue specific gene regulation in a cross-bred Korean pig.

A Study on the Enhancement of DEM Resolution by Radar Interferometry (레이더 간섭기법을 이용한 수치고도모델 해상도 향상에 관한 연구)

  • Kim Chang-Oh;Kim Sang-Wan;Lee Dong-Cheon;Lee Yong-Wook;Kim Jeong Woo
    • Korean Journal of Remote Sensing
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    • v.21 no.4
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    • pp.287-302
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    • 2005
  • Digital Elevation Models (DEMs) were generated by ERS-l/2 and JERS-1 SAR interferometry in Daejon area, Korea. The quality of the DEM's was evaluated by the Ground Control Points (GCPs) in city area where GCPs were determined by GPS surveys, while in the mountain area with no GCPs, a 1:25,000 digital map was used. In order to minimize errors due to the inaccurate satellite orbit information and the phase unwrapping procedure, a Differential InSAR (DInSAR) was implemented in addition to the traditional InSAR analysis for DEM generation. In addition, DEMs from GTOPO30, SRTM-3, and 1:25,000 digital map were used for assessment the resolution of the DEM generated from DInSAR. 5-6 meters of elevation errors were found in the flat area regardless of the usage and the resolution of DEM, as a result of InSAR analyzing with a pair of ERS tandem and 6 pairs of JERS-1 interferograms. In the mountain area, however, DInSAR with DEMs from SRTM-3 and the digital map was found to be very effective to reduce errors due to phase unwrapping procedure. Also errors due to low signal-to-noise ratio of radar images and atmospheric effect were attenuated in the DEMs generated from the stacking of 6 pairs of JERS-1. SAR interferometry with multiple pairs of SAR interferogram with low resolution DEM can be effectively used to enhance the resolution of DEM in terms of data processing time and cost.

Improving Non-Profiled Side-Channel Analysis Using Auto-Encoder Based Noise Reduction Preprocessing (비프로파일링 기반 전력 분석의 성능 향상을 위한 오토인코더 기반 잡음 제거 기술)

  • Kwon, Donggeun;Jin, Sunghyun;Kim, HeeSeok;Hong, Seokhie
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.3
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    • pp.491-501
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    • 2019
  • In side-channel analysis, which exploit physical leakage from a cryptographic device, deep learning based attack has been significantly interested in recent years. However, most of the state-of-the-art methods have been focused on classifying side-channel information in a profiled scenario where attackers can obtain label of training data. In this paper, we propose a new method based on deep learning to improve non-profiling side-channel attack such as Differential Power Analysis and Correlation Power Analysis. The proposed method is a signal preprocessing technique that reduces the noise in a trace by modifying Auto-Encoder framework to the context of side-channel analysis. Previous work on Denoising Auto-Encoder was trained through randomly added noise by an attacker. In this paper, the proposed model trains Auto-Encoder through the noise from real data using the noise-reduced-label. Also, the proposed method permits to perform non-profiled attack by training only a single neural network. We validate the performance of the noise reduction of the proposed method on real traces collected from ChipWhisperer board. We demonstrate that the proposed method outperforms classic preprocessing methods such as Principal Component Analysis and Linear Discriminant Analysis.

A Low Jitter Delay-Locked Loop for Local Clock Skew Compensation (로컬 클록 스큐 보상을 위한 낮은 지터 성능의 지연 고정 루프)

  • Jung, Chae-Young;Lee, Won-Young
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.2
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    • pp.309-316
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    • 2019
  • In this paper, a low-jitter delay-locked loop that compensates for local clock skew is presented. The proposed DLL consists of a phase splitter, a phase detector(PD), a charge pump, a bias generator, a voltage-controlled delay line(VCDL), and a level converter. The VCDL uses self-biased delay cells using current mode logic(CML) to have insensitive characteristics to temperature and supply noises. The phase splitter generates two reference clocks which are used as the differential inputs of the VCDL. The PD uses the only single clock from the phase splitter because the PD in the proposed circuit uses CMOS logic that consumes less power compared to CML. Therefore, the output of the VCDL is also converted to the rail-to-rail signal by the level converter for the PD as well as the local clock distribution circuit. The proposed circuit has been designed with a $0.13-{\mu}m$ CMOS process. A global CLK with a frequency of 1-GHz is externally applied to the circuit. As a result, after about 19 cycles, the proposed DLL is locked at a point that the control voltage is 597.83mV with the jitter of 1.05ps.

Analysis of Propagation Environment for Selecting R-Mode Reference and Integrity Station (R-Mode 보정국과 감시국 선정을 위한 전파환경 분석에 관한 연구)

  • Jeon, Joong-Sung;Jeong, Hae-Sang;Gug, Seung-Gi
    • Journal of Navigation and Port Research
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    • v.45 no.1
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    • pp.26-32
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    • 2021
  • In ocean field, the spread of the Fourth Industrial Revolution based on information and communication technology requires high precision and stable PNT&D (Position, Navigation, Timing and Data). As the IMO (International Maritime Organization) and IALA (The International Association of Marine Aids to Navigation and Lighthouse Authorities) are requiring backup systems due to mitigate vulnerabilities and the increase of dependency on GNSS (Global Navigation Satellite System), Korea is conducting a research & development of R-Mode. An DGPS (Differentiate Global Positioning System) reference station that uses MF, an existing maritime infrastructure, and AIS (Automatic Identification System) base stations that use 34 integrity station and VHF will be utilized in this study to avoid redundant investment. Because there are radio shadow areas that display low signal levels in the west sea, the establishment of new R-Mode reference and integrity station will be intended to resolve problems regrading the radio shadow area. Because the frequency has a characteristic in that radio wave transmits well along the ground (water surface) in low frequency band, simulation and measurement were conducted therefore this paper to propose candidate sites for R-Mode reference and integrity station resulted through p wave's propagation characteristics analysis. Using this paper, R-Mode reference and integrity station can be established at appropriate locations to resolve radio shadow areas in other regions.