• Title/Summary/Keyword: frame processing

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VDI deployment and performance analysys for multi-core-based applications (멀티코어 기반 어플리케이션 운용을 위한 데스크탑 가상화 구성 및 성능 분석)

  • Park, Junyong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.10
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    • pp.1432-1440
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    • 2022
  • Recently, as Virtual Desktop Infrastructure(VDI) is widely used not only in office work environments but also in workloads that use high-spec multi-core-based applications, the requirements for real-time and stability of VDI are increasing. Accordingly, the display protocol used for remote access in VDI and performance optimization of virtual machines have also become more important. In this paper, we propose two ways to configure desktop virtualization for multi-core-based application operation. First, we propose a codec configuration of a display protocol with optimal performance in a high load situation due to multi-processing. Second, we propose a virtual CPU scheduling optimization method to reduce scheduling delay in case of CPU contention between virtual machines. As a result of the test, it was confirmed that the H.264 codec of Blast Extreme showed the best and stable frame, and the scheduling performance of the virtual CPU was improved through scheduling optimization.

Noise Elimination Using Improved MFCC and Gaussian Noise Deviation Estimation

  • Sang-Yeob, Oh
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.87-92
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    • 2023
  • With the continuous development of the speech recognition system, the recognition rate for speech has developed rapidly, but it has a disadvantage in that it cannot accurately recognize the voice due to the noise generated by mixing various voices with the noise in the use environment. In order to increase the vocabulary recognition rate when processing speech with environmental noise, noise must be removed. Even in the existing HMM, CHMM, GMM, and DNN applied with AI models, unexpected noise occurs or quantization noise is basically added to the digital signal. When this happens, the source signal is altered or corrupted, which lowers the recognition rate. To solve this problem, each voice In order to efficiently extract the features of the speech signal for the frame, the MFCC was improved and processed. To remove the noise from the speech signal, the noise removal method using the Gaussian model applied noise deviation estimation was improved and applied. The performance evaluation of the proposed model was processed using a cross-correlation coefficient to evaluate the accuracy of speech. As a result of evaluating the recognition rate of the proposed method, it was confirmed that the difference in the average value of the correlation coefficient was improved by 0.53 dB.

Web Server based Hologram Image Production Pipeline System Implementation (웹 서버 기반의 홀로그램 영상 제작 파이프라인 시스템 구현)

  • Kim, Yongjung;Park, Chansoo;Shin, Seokyong;Kim, Jungho;Gentet, Philippe;Lee, Jiyoon;Kwon, Soonchul;Lee, Seunghyun
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.751-757
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    • 2021
  • In this paper, we proposed a pipeline system for holographic image production in a web server-based environment. There are time and spatial constraints for the existing holographic image production. The purpose of the proposed system is to obtain high-quality holographic images by reducing accessibility to users. It is a structure in which a video captured by a user in a web environment is transmitted to a server and converted into a frame for holographic image production through post-production. For high-quality holographic image acquisition, post-processing uses a deep learning-based algorithm. The proposed system provides various service tools in the web environment for user convenience. Through this method, the user's accessibility is improved when producing holographic images because images are taken in a web environment rather than in a limited space.

Cloning and Characterization of Porcine Uroplakin II Gene

  • D. N. Kwon;H. K. Shin;C. K. Hwang;D. W. Ok;Kim, J. H.
    • Proceedings of the KSAR Conference
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    • 2001.03a
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    • pp.19-19
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    • 2001
  • Mammalian urothelium undergoes unique membrane specialization by making the asymmetric unit membrane (AUM) that is covered with the apical cell surface during terminal differentiation. The AUM contains several major integral membrane proteins including uroplakin Ia, Ib, II and III. The genes for uroplakins have been cloned from humans and mice, but not from porcine. In this study, we report the cloning of the UPII genomic DNA, which codes for the full length open reading frame for the uroplakin II protein. The deduced amino acid sequence encodes of a hydrophobic NH$_2$-terminal peptide, a prosequence, and a mature protein. The prosequence contains three potential N-glycosylation sites and a RGRR cleavage site that may be involved in uroplakin II processing and maturation. Northern and immunohistochemistry analyses showed that the porcine UPII gene is only expressed in urothelium and that the protein was specifically localized in urothelial superficial cells. A 2kb of upstream in the promoter sequence contains multiple transcription factor binding sites, including GC-box, SPI, AP2, and GATA-box sites, but not for TATA or CAAT-box sequences. Comparison of the porcine UPII promoter sequence with that of the murine by MEME system presented two conserved motifs, suggesting a cis-acting regulatory role for the conserved sequences. Sequence homology between two species in motif A and B was 79% and 80% respectively, although their relative locations were different. During the gestation, mouse bladder at estrus stages and day 10 after parturition showed higher UPII expression, while showed lower expression at peri-implantation stage. Taken together, our results showed that the porcine UPII gene was expressed highly and specifically in the bladder urothelium and that steroid hormones for implantation changed the expression of UPII in the bladder, although the biological significance of UPII remains to be not determined.

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HDR Video Reconstruction via Content-based Alignment Network (내용 기반의 정렬을 통한 HDR 동영상 생성 방법)

  • Haesoo Chung;Nam Ik Cho
    • Journal of Broadcast Engineering
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    • v.28 no.2
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    • pp.185-193
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    • 2023
  • As many different over-the-top (OTT) services become ubiquitous, demands for high-quality content are increasing. However, high dynamic range (HDR) contents, which can provide more realistic scenes, are still insufficient. In this regard, we propose a new HDR video reconstruction technique using multi-exposure low dynamic range (LDR) videos. First, we align a reference and its neighboring frames to compensate for motions between them. In the alignment stage, we perform content-based alignment to improve accuracy, and we also present a high-resolution (HR) module to enhance details. Then, we merge the aligned features to generate a final HDR frame. Experimental results demonstrate that our method outperforms existing methods.

Comparison of Experienced and Inexperienced Consumers' Utilisation of Extrinsic Cues in Product Evaluation: Evidence from the Korean Fine Arts Market

  • Kim, Yoonjeun;Park, Kiwan;Kim, Yaeri;Chung, Youngmok
    • Asia Marketing Journal
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    • v.17 no.3
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    • pp.105-127
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    • 2015
  • This study compares experienced and inexperienced consumers' patterns in cue utilisation in product evaluations in the arts market. Borrowing the notion of high- and low-scope cues introduced by the cue-diagnosticity framework, we differentiate between the two most readily discernible extrinsic cues in the fine arts market - an art gallery's brand reputation (a high-scope cue) and certificates of authenticity (a low-scope cue). These two cues are different in nature; the former is more abstract, intangible, and rich in content, so is more difficult to interpret than the latter. Given the differences in experienced and inexperienced consumers' information processing styles, we hypothesise that experienced arts consumers form perceived credibility of and purchase intentions towards artworks based on high-scope cues, whereas inexperienced consumers do so based on low-scope cues. To test our hypothesis, we conducted a consumer intercept study at Korea's two most representative art fairs. The survey participants were categorised into either experienced or inexperienced consumers based on their prior purchase experience, and their responses to a set of attribute combinations about two artworks created by the same artist were collected. The results indicate that experienced participants show higher purchase intentions when an art gallery's reputation is very high, whereas inexperienced participants show higher purchase intentions when artworks are accompanied by certificates of authenticity. This congruency effect between prior experience and cue type is mediated by the perceived credibility of the artworks. The findings suggest a correspondence between a consumer's prior experience and the types of extrinsic cues that are important in product evaluations. To the best of our knowledge, this study is the first attempt ever to investigate the role of prior experience in determining when to use high- or low-scope cues. It also provides a useful frame of reference to advise marketers on the effective sales approach based on a client's prior purchase experience.

Detection of the co-planar feature points in the three dimensional space (3차원 공간에서 동일 평면 상에 존재하는 특징점 검출 기법)

  • Seok-Han Lee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.6
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    • pp.499-508
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    • 2023
  • In this paper, we propose a technique to estimate the coordinates of feature points existing on a 2D planar object in the three dimensional space. The proposed method detects multiple 3D features from the image, and excludes those which are not located on the plane. The proposed technique estimates the planar homography between the planar object in the 3D space and the camera image plane, and computes back-projection error of each feature point on the planar object. Then any feature points which have large error is considered as off-plane points and are excluded from the feature estimation phase. The proposed method is archived on the basis of the planar homography without any additional sensors or optimization algorithms. In the expretiments, it was confirmed that the speed of the proposed method is more than 40 frames per second. In addition, compared to the RGB-D camera, there was no significant difference in processing speed, and it was verified that the frame rate was unaffected even in the situation that the number of detected feature points continuously increased.

A Study on SNR Estimation of Continuous Speech Signal (연속음성신호의 SNR 추정기법에 관한 연구)

  • Song, Young-Hwan;Park, Hyung-Woo;Bae, Myung-Jin
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.4
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    • pp.383-391
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    • 2009
  • In speech signal processing, speech signal corrupted by noise should be enhanced to improve quality. Usually noise estimation methods need flexibility for variable environment. Noise profile is renewed on silence region to avoid effects of speech properties. So we have to preprocess finding voice region before noise estimation. However, if received signal does not have silence region, we cannot apply that method. In this paper, we proposed SNR estimation method for continuous speech signal. The waveform which is stationary region of voiced speech is very correlated by pitch period. So we can estimate the SNR by correlation of near waveform after dividing a frame for each pitch. For unvoiced speech signal, vocal track characteristic is reflected by noise, so we can estimate SNR by using spectral distance between spectrum of received signal and estimated vocal track. Lastly, energy of speech signal is mostly distributed on voiced region, so we can estimate SNR by the ratio of voiced region energy to unvoiced.

High Quality Multi-Channel Audio System for Karaoke Using DSP (DSP를 이용한 가라오케용 고음질 멀티채널 오디오 시스템)

  • Kim, Tae-Hoon;Park, Yang-Su;Shin, Kyung-Chul;Park, Jong-In;Moon, Tae-Jung
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.1
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    • pp.1-9
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    • 2009
  • This paper deals with the realization of multi-channel live karaoke. In this study, 6-channel MP3 decoding and tempo/key scaling was operated in real time by using the TMS320C6713 DSP, which is 32 bit floating-point DSP made by TI Co. The 6 channel consists of front L/R instrument, rear L/R instrument, melody, and woofer. In case of the 4 channel, rear L/R instrument can be replaced with drum L/R channel. And the final output data is generated as adjusted to a 5.1 channel speaker. The SOLA algorithm was applied for tempo scaling, and key scaling was done with interpolation and decimation in the time domain. Drum channel was excluded in key scaling by separating instruments into drums and non-drums, and in processing SOLA, high-quality tempo scaling was made possible by differentiating SOLA frame size, which was optimized for real-time process. The use of 6 channels allows the composition of various channels, and the multi-channel audio system of this study can be effectively applied at any place where live music is needed.

Algorithm Implementation for Detection and Tracking of Ships Using FMCW Radar (FMCW Radar를 이용한 선박 탐지 및 추적 기법 구현)

  • Hong, Dan-Bee;Yang, Chan-Su
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.16 no.1
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    • pp.1-8
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    • 2013
  • This study focuses on a ship detection and tracking method using Frequency Modulated Continuous Wave (FMCW) radar used for horizontal surveillance. In general, FMCW radar can play an important role in maritime surveillance, because it has many advantages such as low warm-up time, low power consumption, and its all weather performance. In this paper, we introduce an effective method for data and signal processing of ship's detecting and tracking using the X-band radar. Ships information was extracted using an image-based processing method such as the land masking and morphological filtering with a threshold for a cycle data merged from raw data (spoke data). After that, ships was tracked using search-window that is ship's expected rectangle area in the next frame considering expected maximum speed (19 kts) and interval time (5 sec). By using this method, the tracking results for most of the moving object tracking was successful and those results were compared with AIS (Automatic Identification System) for ships position. Therefore, it can be said that the practical application of this detection and tracking method using FMCW radar improve the maritime safety as well as expand the surveillance coverage cost-effectively. Algorithm improvements are required for an enhancement of small ship detection and tracking technique in the future.