• 제목/요약/키워드: Processing Efficiency

검색결과 3,522건 처리시간 0.025초

HEVC 다단계 움직임 추정 기법에서 단위 연산기 개수의 최적화 방법 (Optimization Method on the Number of the Processing Elements in the Multi-Stage Motion Estimation Algorithm for High Efficiency Video Coding)

  • 이성수
    • 전기전자학회논문지
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    • 제21권1호
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    • pp.100-103
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    • 2017
  • 움직임 추정기는 동영상 압축에서 가장 많은 연산량을 차지하는 연산으로, 처리 속도를 맞추기 위해 다수의 단위 연산기를 병렬로 사용하는 경우가 많다. 단위 연산기를 많이 사용할수록 처리 속도가 빨라지지만 하드웨어 면적도 커지기 때문에 단위 연산기의 개수를 최적화하는 것이 중요하다. HEVC(high efficiency video coding)의 경우 연산량을 줄이고 성능을 높이기 위해서 다단계 움직임 추정 기법을 주로 사용하는데, 각 단계마다 탐색점의 개수 및 위치가 다르기 때문에 단위 연산기의 사용률이 항상 100%가 되지 않으며 단위 연산기의 개수에 따라 사용률이 크게 달라진다. 본 논문에서는 단위 연산기의 사용률과 연산 사이클을 계산하여 주어진 움직임 추정 기법에 최적화된 단위 연산기 개수를 찾아 내는 방법을 제안한다.

염화철 에칭폐액의 용매추출공정 최적화에 관한 연구 (The Optimization of Solvent Extraction Process of Iron Chloride Etching Waste Solution)

  • 박일정;김대원;김건홍;채홍준;이상우;정항철
    • 청정기술
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    • 제23권3호
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    • pp.279-285
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    • 2017
  • 본 연구에서는 염화철 에칭폐액 재생을 위하여 (주)케이엠씨에서 조합한 organophosphorus acid계의 신규용매(KMC-P)를 사용하였으며, 용매추출공정에서 신규 용매에 대한 추출효율을 증가시키기 위해 공정변수를 선정하고 변수간의 상관관계를 알아보기 위해서 DOE에 따른 최적화실험을 진행하였다. 용매 농도, pH, O/A ratio가 추출, 탈거효율에 영향을 미치는 인자로 나타났으며 최적의 탈거효율을 갖는 공정조건은 용매 농도 29.4 wt%, HCl 첨가량 0 mL, O/A ratio 7일 때, 최대 69.7%의 탈거효율을 기대할 수 있는 결과를 얻었으며 신뢰 수준은 86% 이상인 것을 확인하였다.

매니코어 프로세서를 이용한 SIFT 알고리즘 병렬구현 및 성능분석 (Parallel Implementation and Performance Evaluation of the SIFT Algorithm Using a Many-Core Processor)

  • 김재영;손동구;김종면;전희성
    • 한국컴퓨터정보학회논문지
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    • 제18권9호
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    • pp.1-10
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    • 2013
  • 본 논문에서는 대표적인 특징점 추출 알고리즘인 SIFT(Scale-Invariant Feature Transform)를 매니코어 프로세서를 이용하여 병렬 구현하고, 이를 실행 시간, 시스템 이용률, 에너지 효율 및 시스템 면적 효율 측면에서 분석하였다. 또한 기존의 고성능 CPU와 GPU(Graphics Processing Unit)와의 성능 비교를 통해 제안하는 매니코어의 잠재가능성을 입증하였다. 모의실험 결과, 매니코어를 이용한 SIFT 알고리즘 구현 결과는 기존의 OpenCV 구현 결과와 정확도면에서 동일하였고, 매니코어 구현은 고성능 CPU 및 GPU 구현보다 실행시간 측면에서 우수하였다. 또한 본 논문에서는 SIFT알고리즘의 옥타브 크기에 따른 에너지 효율 및 시스템 면적 효율을 분석하여 최적의 모델을 제시하였다.

더덕 전처리 방법에 따른 조리 작업 효율 및 더덕구이의 품질 특성 (The Cooking Efficiency and Qualities of Deodeok-gui from Optimized Pre-processing of Codonpsis lanceolata)

  • 신명은;조미나;김용식;이경희
    • 동아시아식생활학회지
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    • 제22권6호
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    • pp.860-867
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    • 2012
  • Codonopsis lanceolata serves as, an appetizing health food for its, characteristic flavor, taste, and texture:however, it requires a long and complicated cooking process. Therefore, this study conducted pre-processing procedures to improve the cooking process and Codonopsis lanceolata more easily. For processing efficiency, freezing and blanching were efficient for peeling and the rate of peel disuse. In addition the freezing process, effectively reduced the time spent in beating raw material. In the salinity test, freezing and blanching quickly increased salinity over 28 days. As the result of SEM cross-section tests showed that frozen Codonopsis lanceolata become porous, it's assumed that seasoning permeates into this cross-section efficiently. As the appearance of Deodeok-gui as significant differences according to the pre-processing methods, this study examined pre-processing methods(time spent in peeling, rate of peel disuse, time spent in beating out material, salinity, moisture content, texture, and the color) of Codonopsis lanceolata. After testing Deodeok-gui, it was found that freezing is effective, not only for process efficiency and cooking time reduction, but also for improving its qualities.

슬러지반응기에서 팥가공폐수의 철기성 처리 (Anaerobic treatment of red-bean processing wastewater in a sludge bed reactor)

  • 안재동;금재우;홍종향
    • 환경위생공학
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    • 제9권1호
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    • pp.29-37
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    • 1994
  • Anaerobic treatment of wastewater of the red- bean processing industry was carried out and discussed an anaerobic sludge bed reactor( ASBR) as a preliminary study to evaluate applicability of given processes. The dimension of reactor were same as 0.09m- ID$\times $1.5m- height. The type of substrate and the hydraulic retention time( HRT) were considered as experimental variables. The synthetic wastewater with glucose in the laboratory, the wastewater from the red bean processing industry mixed with synthetic wastewater with variation of mixing percent were fed as substrate. The hydraulic retention time was changed from one day to five days. The gas production, the methane content in produced gas, efficiencies of COD removal and 55 removal were evaluated as principal characteristics. With synthetic wastewater as a substrate and at a hydraulic retention time of one day, characteristics of ASBR was the gas production(12$\ell$/day ), the methane content of produced gas(60%), the efficiency of COD removal(92%) and 55 removal(30%). With the real wastewater and at a hydraulic retention time of one day, the gas production and the efficiency of COD removal of the ASBR decreased with the proportion of real wastewater. The gas production and the efficiency of COD removal with real wastewater only was decreased to 70% and 87% of those with synthetic wastewater only, respectively. However, the methane content in produced gas and the efficiency of 55 removal with real wastewater only was increased significantly by 1.25 times and two times of those with synthetic wastewater only, respectively. However, the methane content in produced gas and the efficiency of 55 removal with real wastewater only was increased significantly by 1.25 times and two times of those with synthetic wastewater only, respectively. With real wastewater only as a substrate in the ASBR, the gas production was decreased with an increase of HRT, but the efficiency of COD removal increased with HRTI like the usual trend reported. As a conclusion, the wastewater of the red- bean Processing industry could be treated by anaerobic digestion successfully in the ASBR.Anaerobic treatment of wastewater of the red- bean processing industry was carried out and discussed an anaerobic sludge bed reactor( ASBR) as a preliminary study to evaluate applicability of given processes. The dimension of reactor were same as 0.09m- ID$\times $1.5m- height. The type of substrate and the hydraulic retention time( HRT) were considered as experimental variables. The synthetic wastewater with glucose in the laboratory, the wastewater from the red bean processing industry mixed with synthetic wastewater with variation of mixing percent were fed as substrate. The hydraulic retention time was changed from one day to five days. The gas production, the methane content in produced gas, efficiencies of COD removal and 55 removal were evaluated as principal characteristics. With synthetic wastewater as a substrate and at a hydraulic retention time of one day, characteristics of ASBR was the gas production(12$\ell$/day ), the methane content of produced gas(60%), the efficiency of COD removal(92%) and 55 removal(30%). With the real wastewater and at a hydraulic retention time of one day, the gas production and the efficiency of COD removal of the ASBR decreased with the proportion of real wastewater. The gas production and the efficiency of COD removal with real wastewater only was decreased to 70% and 87% of those with synthetic wastewater only, respectively. However, the methane content in produced gas and the efficiency of 55 removal with real wastewater only was increased significantly by 1.25 times and two times of those with synthetic wastewater only, respectively. However, the methane content in produced gas and the efficiency of 55 removal with real wastewater only was increased significantly by 1.25 times and two times of those with synthetic wastewater only, respectively. With real wastewater only as a substrate in the ASBR, the gas production was decreased with an increase of HRT, but the efficiency of COD removal increased with HRTI like the usual trend reported. As a conclusion, the wastewater of the red- bean Processing industry could be treated by anaerobic digestion successfully in the ASBR.

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매니코어 프로세서를 이용한 벡터 기반 래스터화 알고리즘 구현 및 성능평가 (Implementation and Performance Evaluation of Vector based Rasterization Algorithm using a Many-Core Processor)

  • 손동구;김종면
    • 대한임베디드공학회논문지
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    • 제8권2호
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    • pp.87-93
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    • 2013
  • In this paper, we implemented and evaluated the performance of a vector-based rasterization algorithm of 3D graphics using a SIMD-based many-core processor that consists of 4,096 processing elements. In addition, we compared the performance and efficiency of the rasterization algorithm using the many-core processor and commercial GPU (Graphics Processing Unit) system which consists of 7 GPUs and each of which have 512 cores. Experimental results showed that the SIMD-based many-core processor outperforms the commercial GPU system in terms of execution time (3.13x speedup), energy efficiency (17.5x better), and area efficiency (13.3x better). These results demonstrate that the SIMD-based many-core processor has potential as an embedded mobile processor.

AMI의 중복데이터 제거를 통한 데이터처리효율성 분석 (Analysis of Data Processing Efficiency using Duplicated Data Removal in AMI)

  • 오도환;박재형
    • 스마트미디어저널
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    • 제10권2호
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    • pp.9-15
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    • 2021
  • AMI(Advanced Metering Infrastructure)의 구축 확대로 인해 계량데이터의 수집을 위한 원격검침서비스 이외에도 계량데이터를 이용한 수요관리, 에너지쉼표 등 다양한 융복합 서비스들이 늘어나고 있는 추세이다. 이러한 서비스를 안정적으로 운영하기 위해서는 계량데이터의 효율적 관리가 필수적이다. 본 논문에서는 중복데이터 제거를 통해 AMI의 시스템별 구축목적에 따라 계량데이터를 처리하는 효율성을 분석하고자 한다.

Image Processing and Deep Learning-based Defect Detection Theory for Sapphire Epi-Wafer in Green LED Manufacturing

  • Suk Ju Ko;Ji Woo Kim;Ji Su Woo;Sang Jeen Hong;Garam Kim
    • 반도체디스플레이기술학회지
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    • 제22권2호
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    • pp.81-86
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    • 2023
  • Recently, there has been an increased demand for light-emitting diode (LED) due to the growing emphasis on environmental protection. However, the use of GaN-based sapphire in LED manufacturing leads to the generation of defects, such as dislocations caused by lattice mismatch, which ultimately reduces the luminous efficiency of LEDs. Moreover, most inspections for LED semiconductors focus on evaluating the luminous efficiency after packaging. To address these challenges, this paper aims to detect defects at the wafer stage, which could potentially improve the manufacturing process and reduce costs. To achieve this, image processing and deep learning-based defect detection techniques for Sapphire Epi-Wafer used in Green LED manufacturing were developed and compared. Through performance evaluation of each algorithm, it was found that the deep learning approach outperformed the image processing approach in terms of detection accuracy and efficiency.

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SwiftQ: A Time-Efficient RFID Collision Arbitration Algorithm for Gen2-Based RFID Systems

  • Donghwan Lee;Wonjun Lee
    • Journal of Information Processing Systems
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    • 제20권3호
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    • pp.307-316
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    • 2024
  • In the realm of large-scale identification deployments, the EPCglobal Class-1 Generation-2 (Gen2) standard serves as a cornerstone, facilitating rapid processing of numerous passive RFID tags. The Q-Algorithm has garnered considerable attention for its potential to markedly enhance the efficiency of Gen2-based RFID systems with minimal adjustments. This paper introduces a groundbreaking iteration of the Q-Algorithm, termed Time-Efficient Q-Algorithm (SwiftQ), specifically designed to push the boundaries of time efficiency within Gen2-based RFID systems. Through exhaustive simulations, our study substantiates that SwiftQ outperforms existing algorithms by a significant margin, demonstrating exceptional expediency that positions it as a formidable contender in the landscape of large-scale identification environments. By prioritizing time efficiency, SwiftQ offers a promising solution to meet the escalating demands of contemporary Internet of Things applications, underscoring its potential to catalyze advancements in RFID technology for diverse industrial and logistical contexts.