• 제목/요약/키워드: High-throughput analysis

검색결과 547건 처리시간 0.024초

고속 CORDIC에 기반한 직접 디지털 주파수 합성기 (Hight throughput CORDIC-based Direct Digital Frequency Synthesizer)

  • Park, Minkyoung;Park, Sungsoo;Kim, Kiseon;Lee, Jeong-A
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.784-787
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    • 1999
  • This paper describes a direct digital frequency synthesizer using the CORDIC algorithm, which can be implemented efficiently for a digital sinusoid synthesis. To optimize the hardware design parameters, we perform numerical analysis of the quantization effects for the CORDIC-based architecture. A pipelined architecture is employed to obtain a high data throughput,. We estimate and summarize its hardware costs for a variable accuracy, and a CORDIC-based architecture for 9 bit accuracy is emulated in FPGA.

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Codebook-Based Precoding for SDMA-OFDMA with Spectrum Sharing

  • Jo, Han-Shin
    • ETRI Journal
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    • 제33권6호
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    • pp.831-840
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    • 2011
  • This paper focuses on codebook-based precoding for space-division multiple access/orthogonal frequency-division multiple access (SDMA-OFDMA) systems aiming to guarantee high throughput for their users as well as to mitigate interference to fixed satellite service (FSS). A systematic design of SDMA codebook for subband-based OFDMA is proposed, which forms multiple orthogonal beams with common spatial null in the direction of a victim FSS earth station (ES). The design enables both transmitter and receiver to independently construct identical codebook by sharing only on the direction angle of an FSS ES, which takes fewer overhead bits than Gram-Schmidt process, a general method satisfying our design criterion. A system-level throughput evaluation shows that the proposed precoding provides superior performance over existing spectrum sharing method, that is, subband deactivation. The spectrum sharing analysis shows that the proposed precoding, even with an estimation error of the direction angles of an FSS ES, causes lower interference than existing precoding, knockdown precoding.

Throughput Analysis of SBC for MSC on KOMPSAT-2

  • Heo H.P.;Kong J.P.;Kim Y.S.;Park J.E.;Chang Y.J.;Lee S.H.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.593-596
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    • 2005
  • The MSC is a remote sensing instrument with very high performance that is to be installed on KOMPSAT2 satellite. The MSC consists of EOS (Electro-Optic Subsystem), PMU (Payload Management Unit) and PDTS (Payload Data Transmission Subsystem). PMU controls and monitors all the other payload units by sending commands and collecting telemetry. PMU is in charge of interfacing between payload system and satellite bus system. PMU gets commands from ground-station via OBC (On-Board Computer) that is a main controller of the satellite bus system and sends telemetry to the ground-station via OBC. There is a processor module, called SBC (Single Board Computer) in the PMU. The SBC is a main controller of the MSC system. The main roles of the SBC are payload mission management, command validation and execution, telemetry collection and monitoring, ancillary data handling, event reporting, power control of payload sub-units and communication with these units. Intel's 80486DX2 processor has been used for the SBC. Due to the fact that the SBC plays important roles for imaging mission execution and handles a lot of control data that is required for payload operation, it is required to make analysis of the CPU load when it is in maximum operation mode. In this paper, the analysis and measurement results of the SBC throughput in the maximum operation mode.

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Performance Analysis of Switching Strategy in LTE-A Heterogeneous Networks

  • Peng, Jinlin;Hong, Peilin;Xue, Kaiping
    • Journal of Communications and Networks
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    • 제15권3호
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    • pp.292-300
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    • 2013
  • Nowadays, energy saving has become a hot topic and information and communication technology has become a major power consumer. In long term evolution advanced (LTE-A) networks, heterogeneous deployments of low-power nodes and conventional macrocells provide some new features, such as coverage extension, throughput enhancement, and load balancing. However, a large-scale deployment of low-power nodes brings substantial energy consumption and interference problems. In this paper, we propose a novel switching strategy (NS), which adaptively switches on or off some low-power nodes based on the instantaneous load of the system. It is compatible with the microcells' load balancing feature and can be easily implemented on the basis of existing LTE-A specifications. Moreover, we develop an analytical model for analyzing the performance of system energy consumption, block rate, throughput, and energy efficiency. The performance of NS is evaluated by comparison with existing strategies. Theoretical analysis and simulation results show that NS not only has a low block rate, but also achieves a high energy efficiency.

Statistical analysis of metagenomics data

  • Calle, M. Luz
    • Genomics & Informatics
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    • 제17권1호
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    • pp.6.1-6.9
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    • 2019
  • Understanding the role of the microbiome in human health and how it can be modulated is becoming increasingly relevant for preventive medicine and for the medical management of chronic diseases. The development of high-throughput sequencing technologies has boosted microbiome research through the study of microbial genomes and allowing a more precise quantification of microbiome abundances and function. Microbiome data analysis is challenging because it involves high-dimensional structured multivariate sparse data and because of its compositional nature. In this review we outline some of the procedures that are most commonly used for microbiome analysis and that are implemented in R packages. We place particular emphasis on the compositional structure of microbiome data. We describe the principles of compositional data analysis and distinguish between standard methods and those that fit into compositional data analysis.

CaGe: A Web-Based Cancer Gene Annotation System for Cancer Genomics

  • Park, Young-Kyu;Kang, Tae-Wook;Baek, Su-Jin;Kim, Kwon-Il;Kim, Seon-Young;Lee, Do-Heon;Kim, Yong-Sung
    • Genomics & Informatics
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    • 제10권1호
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    • pp.33-39
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    • 2012
  • High-throughput genomic technologies (HGTs), including next-generation DNA sequencing (NGS), microarray, and serial analysis of gene expression (SAGE), have become effective experimental tools for cancer genomics to identify cancer-associated somatic genomic alterations and genes. The main hurdle in cancer genomics is to identify the real causative mutations or genes out of many candidates from an HGT-based cancer genomic analysis. One useful approach is to refer to known cancer genes and associated information. The list of known cancer genes can be used to determine candidates of cancer driver mutations, while cancer gene-related information, including gene expression, protein-protein interaction, and pathways, can be useful for scoring novel candidates. Some cancer gene or mutation databases exist for this purpose, but few specialized tools exist for an automated analysis of a long gene list from an HGT-based cancer genomic analysis. This report presents a new web-accessible bioinformatic tool, called CaGe, a cancer genome annotation system for the assessment of candidates of cancer genes from HGT-based cancer genomics. The tool provides users with information on cancer-related genes, mutations, pathways, and associated annotations through annotation and browsing functions. With this tool, researchers can classify their candidate genes from cancer genome studies into either previously reported or novel categories of cancer genes and gain insight into underlying carcinogenic mechanisms through a pathway analysis. We show the usefulness of CaGe by assessing its performance in annotating somatic mutations from a published small cell lung cancer study.

대규모 유전자 분석 기법을 이용한 육미지황원의 유전자 발현 연구 (Studies on Gene Expression of Yukmijihwang-tang using High-throughput Gene Expression Analysis Techniques)

  • 강봉주;김윤택;조동욱
    • 한국한의학연구원논문집
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    • 제8권2호통권9호
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    • pp.95-107
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    • 2002
  • Yukmijihwang-tang(YM) is a noted herbal prescription in Chinese and Korean traditional medicines, and it has been known to reinforce the vital essence and has been widely used for a variety of disease such as stroke, osteoporosis, anti-tumor, and hypothyrodism. Regarding its traditional use, YM has been known to reinforce the Yin (vital essence) of liver and kidney. Also it has been known to reinforce nutrition and biological function in brain. Recently, studies suggested that YM increase antioxidant activities and exert the protective effect against oxidant-induced liver cell injury. We investigated the high-throughput gene expression analysis on the Yukmijihwang-tang administrated in SD rats. Microarray data were validated on a limited number of genes by semiquantitative RT-PCR and Western blot analyses. The recent availability of microarrays provides an attractive strategy for elaborating an unbiased molecular profile of large number of genes in drug discovery This experimental approach offers the potential to identify molecules or cellular pathways not previously associated with herbal medicine. Total RNA from normal control brain and Yukmijihwang-tang administrated brain were hybridized to microarrays containing 10,000 rat genes. The 52 genes were found to be up-regulated(twice or more) excluding EST gene. The nine genes were found to be down-regulated(twice or more) excluding EST gene. Gene array technology was used to identify for the first time many genes expression pathway analysis that arecell cycle pathway, apoptosis pathway, electron transport chain pathway, cytoplasmic ribosomal protein pathway, fatty acid degradation pathway, and TGF-beta signaling pathway. These differentially expressed genes pathway analysis have not previously been iavestigated in the context of herbal medicine efficacy and represent novel factors for further study of the mechanism of herbal medicine efficacy.

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Analysis of allele-specific expression using RNA-seq of the Korean native pig and Landrace reciprocal cross

  • Ahn, Byeongyong;Choi, Min-Kyeung;Yum, Joori;Cho, In-Cheol;Kim, Jin-Hoi;Park, Chankyu
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권12호
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    • pp.1816-1825
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    • 2019
  • Objective: We tried to analyze allele-specific expression in the pig neocortex using bioinformatic analysis of high-throughput sequencing results from the parental genomes and offspring transcriptomes from reciprocal crosses between Korean Native and Landrace pigs. Methods: We carried out sequencing of parental genomes and offspring transcriptomes using next generation sequencing. We subsequently carried out genome scale identification of single nucleotide polymorphisms (SNPs) in two different ways using either individual genome mapping or joint genome mapping of the same breed parents that were used for the reciprocal crosses. Using parent-specific SNPs, allele-specifically expressed genes were analyzed. Results: Because of the low genome coverage (${\sim}4{\times}$) of the sequencing results, most SNPs were non-informative for parental lineage determination of the expressed alleles in the offspring and were thus excluded from our analysis. Consequently, 436 SNPs covering 336 genes were applicable to measure the imbalanced expression of paternal alleles in the offspring. By calculating the read ratios of parental alleles in the offspring, we identified seven genes showing allele-biased expression (p<0.05) including three previously reported and four newly identified genes in this study. Conclusion: The newly identified allele-specifically expressing genes in the neocortex of pigs should contribute to improving our knowledge on genomic imprinting in pigs. To our knowledge, this is the first study of allelic imbalance using high throughput analysis of both parental genomes and offspring transcriptomes of the reciprocal cross in outbred animals. Our study also showed the effect of the number of informative animals on the genome level investigation of allele-specific expression using RNA-seq analysis in livestock species.

고효율 우라늄 전해정련장치 모델링 및 전극 구성에 대한 검증 (Modeling of High-throughput Uranium Electrorefiner and Validation for Different Electrode Configuration)

  • 김영민;김대영;유병욱;장준혁;이성재;박성빈;이한수;이종현
    • 방사성폐기물학회지
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    • 제15권4호
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    • pp.321-332
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    • 2017
  • 전극 구성에 따른 고효율 전해정련공정의 일반적인 모델을 구축하기 위하여, 상미분방정식 인터페이스를 갖는 COMSOL Multiphysics V5.3 전착 모듈을 사용하여 수치해석을 실시하였다. 구축된 모델은 한국원자력연구원에서 제작한 실험실 규모 (1kg 우라늄/day 규모) 다중배열전극 전해정련장치를 사용해 전극 간 거리, 전극 배열을 변수로 하여 실시한 실험의 전류밀도-전위 곡선과 비교하였다. 공정온도는 $500^{\circ}C$이다. 용융염은 3wt% $UCl_3$가 포함된 LiCl-KCl 공융염을 사용하였다. 검증된 모델을 이용하여 전류밀도-셀전위 곡선을 계산한 결과 전극 간 거리가 가까울수록, 전극 배열은 양극/음극 면적비가 증가할수록 셀 전위가 낮아져 전해정련장치의 우라늄 처리효율을 향상시킬 수 있다는 것을 확인하였다. 이러한 접근은 고출력 사용후핵연료 전해정련기의 안전설계를 위한 데이터베이스 구축에 유용할 것이다.

Frame Aggregation 기법을 적용한 IEEE 802.11n 시스템 성능 분석 (Performance Analysis of IEEE 802.11n System adapting Frame Aggregation Methods)

  • 이윤호;김주석;김경석
    • 한국콘텐츠학회논문지
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    • 제9권12호
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    • pp.515-527
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    • 2009
  • IEEE 802.11n은 MAC 계층에서 100Mb/s이상의 데이터 처리량을 달성하므로 초고속 데이터 통신을 지원하는 차세대 무선랜의 표준으로 각광받고 있다. IEEE 802.11n의 연구 동향은 크게 두 가지로 MAC 계층에서 패킷 간의 결합을 통하여 데이터 처리량을 높인 부분과 PHY 계층에서 다중 안테나 기법을 적용하여 데이터 전송속도를 높인 부분으로 정리된다. 그러나 전자는 무선 채널을 고려하지 않음으로 현실성이 결여되어 있었고, 후자는 패킷 간의 결합을 간과함으로 현실적인 처리량 결과를 얻을 수 없었다. 그래서 본 논문에서는 IEEE 802.11n 시스템에서 MAC 계층과 PHY 계층의 연동을 고려하여 성능을 분석한다. 또한, MAC 계층에서는 멀티 서비스를 고려한 A-MPDU, A-MSDU기법을 적용하고, PHY 계층에서는 WLAN MIMO TGn 채널 모델 사용과 함께 SVD 기법을 적용함으로 다중 안테나 기법과 무선 채널을 모두 고려하면서 IEEE 802.11n 시스템의 현실적인 데이터 처리량을 분석한다. 시뮬레이터는 전 계층을 고려하여 Ns-2를 사용하기로 한다.