• 제목/요약/키워드: test data compression

검색결과 417건 처리시간 0.022초

가솔린 직접분사식 압축착화 엔진의 가능한 운전영역에 관한 기초실험 연구 (A Basic Experimental Study on Potential Operating Range in Gasoline Direct-Injection Compression Ignition (GDICI) Engine)

  • 차준표;윤성준;이석훤;박성욱
    • 한국연소학회:학술대회논문집
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    • 한국연소학회 2013년도 제46회 KOSCO SYMPOSIUM 초록집
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    • pp.33-35
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    • 2013
  • The present work is an experimental investigation on potential operating range using directly injected gasoline fuel in a single-cylinder compression ignition (CI) engine. The objectives of present study were to apply auto-ignited combustion to gasoline fuel and to evaluate potential operating range. In order to auto-ignite gasoline fuel in CI engine, the fuel direct-injection system and the intake air system were modified that a flow rate and temperature of intake air were regulated. The heat-release rate (HRR), net indicated mean effective pressure (IMEP), start of combustion (SOC), and combustion duration were derived from in-cylinder pressure data in a test engine, which has 373.33cc displacement volume and 17.8 compression ratio. The exhaust emission characteristics were obtained emission gas analyzer and smoke meter on the exhaust line system.

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잡음제거 합성곱 신경망을 이용한 이미지 복원방법 (Image Restoration Method using Denoising CNN)

  • 김선재;이정호;이석환;전동산
    • 한국멀티미디어학회논문지
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    • 제25권1호
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    • pp.29-38
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    • 2022
  • Although image compression is one of the essential technologies to transmit image data on a variety of surveillance and mobile healthcare applications, it causes unnecessary compression artifacts such as blocking and ringing artifacts by the lossy compression in the limited network bandwidth. Recently, image restoration methods using convolutional neural network (CNN) show the significant improvement of image quality from the compressed images. In this paper, we propose Image Denoising Convolutional Neural Networks (IDCNN) to reduce the compression artifacts for the purpose of improving the performance of object classification. In order to evaluate the classification accuracy, we used the ImageNet test dataset consisting of 50,000 natural images and measured the classification performance in terms of Top-1 and Top-5 accuracy. Experimental results show that the proposed IDCNN can improve Top-1 and Top-5 accuracy as high as 2.46% and 2.42%, respectively.

El-centro 지진파형을 이용한 CAFB의 최적화 및 교량 지진응답실험에 관한 연구 (A Study on the Optimization and Bridge Seismic Response Test of CAFB Using El-centro Seismic Waveforms)

  • 허광희;이진옥;서상구;박진용;전준용
    • 한국지진공학회논문집
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    • 제24권2호
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    • pp.67-76
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    • 2020
  • This study aims to optimize the cochlea-inspired artificial filter bank (CAFB) using El-Centro seismic waveforms and test its performance through a shaking table test on a two-span bridge model. In the process of optimizing the CAFB, El-Centro seismic waveforms were used for the purpose of evaluating how they would affect the optimizing process. Next, the optimized CAFB was embedded in the developed wireless-based intelligent data acquisition (IDAQ) system to enable response measurement in real-time. For its performance evaluation to obtain a seismic response in real-time using the optimized CAFB, a two-span bridge (model structures) was installed in a large shaking table, and a seismic response experiment was carried out on it with El-Centro seismic waveforms. The CAFB optimized in this experiment was able to obtain the seismic response in real-time by compressing it using the embedded wireless-based IDAQ system while the obtained compressed signals were compared with the original signal (un-compressed signal). The results of the experiment showed that the compressed signals were superior to the raw signal in response performance, as well as in data compression effect. They also proved that the CAFB was able to compress response signals effectively in real-time even under seismic conditions. Therefore, this paper established that the CAFB optimized by being embedded in the wireless-based IDAQ system was an economical and efficient data compression sensing technology for measuring and monitoring the seismic response in real-time from structures based on the wireless sensor networks (WSNs).

대용량 DEM 데이터의 효율적 압축을 위한 DEM_Comp 소프트웨어 개발 (DEM_Comp Software for Effective Compression of Large DEM Data Sets)

  • 강인구;윤홍식;위광재;이동하
    • 한국측량학회지
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    • 제28권2호
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    • pp.265-271
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    • 2010
  • 본 논문에서는 대용량의 수치표고모델(DEM) 데이터의 효율적인 압축을 위해 허프만 코딩과 Lempel-Ziv-Welch 압축방법을 기반으로 하는 새로운 DEM 압축 소프트웨어인 DEM_Comp를 개발하였다. DEM_Comp의 개발을 위해서 $C^{++}$ 언어를 이용하였으며, 모든 Window 플랫폼에서 사용이 가능하도록 하였다. 개발된 소프트웨어의 성능을 평가하기 위해 다양한 지형의 형태를 가지는 DEM에 대해 압축을 수행하고, 출력파일의 용량에 따른 압축효율을 평가하였다. 최근 새로운 지형데이터 취득장비인 LiDAR와 SAR 등에 의해 고해상도의 DEM의 활용이 급격하게 증가하고 있어, 데이터의 저장용량과 전송대역폭을 감소시킬 수 있는 DEM 압축기술이 매우 유용하게 이용되고 있다. 일반적으로 데이터 압축기술은 i) 데이터 사이의 관계를 분석하고, ii) 분석 결과에 따라 압축 및 저장기술을 결정하는 2부분으로 구성되는데, DEM_Comp에서는 정규격자, Lempel-Ziv 압축방법, 허프만 코딩의 3단계 압축 알고리즘을 통해 DEM이 압축된다. DEM_Comp의 압축효율 실험 결과 전처리만 수행하였을 경우 지형의 기복과 상관없이 압축효율은 약 83% 정도를 나타내었지만, 3단계의 압축 알고리즘이 완료된 경우에는 압축효율이 97%까지 증가하는 것으로 나타났다. 이러한 수치는 일반적인 상업용 압축 소프트웨어들과 비교하여 약 14% 정도의 압축효율이 향상되었음을 나타낸다. 이에 따라 본 연구에서 개발된 DEM_Comp S/W를 이용하면 대용량의 고해상도 DEM의 관리, 저장, 배포를 보다 효율적으로 수행할 수 있을 것으로 판단된다.

Mechanical Properties of the Apple Flesh According to the Specimen Size

  • Kim, M.S.
    • Agricultural and Biosystems Engineering
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    • 제1권1호
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    • pp.43-48
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    • 2000
  • Mechanical properties of the apple flesh were tested with compression test apparatus constructed by this study. The computer program was developed for measuring mechanical properties, and analyzing data obtained from the study. Compression tests on the apple flesh were performed at four levels of specimen diameter, three levels of specimen length, and at constant loading rate(25mm/min). Five replications were made at each treatment combination. Effect of specimen size on the mechanical properties of the apple flesh was investigated.

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Numerical vibration correlation technique analyses for composite cylinder under compression and internal pressure

  • Do-Young Kim;Chang-Hoon Sim;Jae-Sang Park;Joon-Tae Yoo;Young-Ha Yoon;Keejoo Lee
    • Structural Engineering and Mechanics
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    • 제87권5호
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    • pp.419-429
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    • 2023
  • This study conducts numerical analyses of a thin-walled composite cylinder under axial compression and internal pressure of 10 kPa. Numerical vibration correlation technique and nonlinear postbuckling analyses are conducted using the nonlinear finite element analysis program, ABAQUS. The single perturbation load approach and measured imperfection data are used to represent the geometric initial imperfection of thin-walled composite cylinder. The buckling knockdown factors are derived using present initial imperfection and analysis methods under axial compression without and with the internal pressure. Furthermore, the buckling knockdown factors are compared with the buckling test and computation time are calculated. In this study, derived buckling knockdown factors in present study have difference within 10% as compared with the buckling test. It is shown that nonlinear postbuckling analysis can derive relatively accurate buckling knockdown factor of present thin-walled cylinders, however, numerical vibration correlation technique derives reasonable buckling knockdown factors compared with buckling test. Therefore, this study shows that numerical vibration correlation technique can also be considered as an effective numerical method with 21~91% reduced computation time than nonlinear postbuckling analysis for the derivation of buckling knockdown factors of present composite cylinders.

휨.압축 하중을 받는 콘크리트 부재의 크기효과 (Size Effect for Flexural Compression of Concrete Specimens)

  • 김진근;이성태;양은익;김민욱;이상순
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1998년도 봄 학술발표회 논문집(I)
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    • pp.371-376
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    • 1998
  • In this study, the size effect of concrete members subjected to the axial load and bending moment is investigated using a series of C-shaped specimens of which test procedure is similar to those of Hognestad, Hanson, and McHenry's. Main test variable is a size ratio of the specimens(1:1/2:1/4) at the concrete compressive strength of 500kg/㎠. Test results show that the flexural compression strength at failure decreases as the size of specimen increases, that is, the size effect law is present. Model equation is derived using regression analyses with experimental data and it is compared with formulas for compressive strength of cylinders and shear strength of beams without stirrups. Size effects is distinct th following sequence; shear strength of beams without stirrups, compressive strength of C-shaped specimens, compressive strength of cylinders.

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압축 및 전단탄성을 이용한 원형 방진 고무 마운트 개발 (Development of Conical Rubber Mount using Compression and Shear Elasticity)

  • 김종연;권오병;김영구;김영중
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 춘계학술대회논문집
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    • pp.393-398
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    • 2002
  • Rubber isolator has properties that can adjust easily stiffness and can be formed various shape. Also, it has high damping and is effective about structure-borne noise at high frequency range, So, rubber mount has widely used to isolate vibration at industrial equipment and construction field. However, rubber material is nonlinear and require enough consideration about shape factor whenever it is designed. The purpose of this paper is to develop conical rubber mount using compression and shear elasticity. The first, the dimension of mount is calculated by theoretical analysis considering design condition and static characteristics have been analyzed by FEM method. In addition, the fatigue test of rubber mount is performed to get reliability for product life and dynamic stiffness test is executed to get dynamic magnification factor. Finally, transmissibility test of vibration isolator has been carried out to suggest normal quantity data about vibration isolation.

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패턴사전과 비정형성을 통한 이상치 탐지방법 적용 (Anomaly Detection via Pattern Dictionary Method and Atypicality in Application)

  • 오세홍;박종성;윤영삼
    • 센서학회지
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    • 제32권6호
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    • pp.481-486
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    • 2023
  • Anomaly detection holds paramount significance across diverse fields, encompassing fraud detection, risk mitigation, and sensor evaluation tests. Its pertinence extends notably to the military, particularly within the Warrior Platform, a comprehensive combat equipment system with wearable sensors. Hence, we propose a data-compression-based anomaly detection approach tailored to unlabeled time series and sequence data. This method entailed the construction of two distinctive features, typicality and atypicality, to discern anomalies effectively. The typicality of a test sequence was determined by evaluating the compression efficacy achieved through the pattern dictionary. This dictionary was established based on the frequency of all patterns identified in a training sequence generated for each sensor within Warrior Platform. The resulting typicality served as an anomaly score, facilitating the identification of anomalous data using a predetermined threshold. To improve the performance of the pattern dictionary method, we leveraged atypicality to discern sequences that could undergo compression independently without relying on the pattern dictionary. Consequently, our refined approach integrated both typicality and atypicality, augmenting the effectiveness of the pattern dictionary method. Our proposed method exhibited heightened capability in detecting a spectrum of unpredictable anomalies, fortifying the stability of wearable sensors prevalent in military equipment, including the Army TIGER 4.0 system.

Comparative analysis of bond strength to root dentin and compression of bioceramic cements used in regenerative endodontic procedures

  • Maykely Naara Morais Rodrigues;Kely Firmino Bruno;Ana Helena Goncalves de Alencar;Julyana Dumas Santos Silva;Patricia Correia de Siqueira;Daniel de Almeida Decurcio;Carlos Estrela
    • Restorative Dentistry and Endodontics
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    • 제46권4호
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    • pp.59.1-59.14
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    • 2021
  • Objectives: This study compared the Biodentine, MTA Repair HP, and Bio-C Repair bioceramics in terms of bond strength to dentin, failure mode, and compression. Materials and Methods: Fifty-four slices obtained from the cervical third of 18 single-rooted human mandibular premolars were randomly distributed (n = 18). After insertion of the bioceramic materials, the push-out test was performed. The failure mode was analyzed using stereomicroscopy. Another set of cylindrically-shaped bioceramic samples (n = 10) was prepared for compressive strength testing. The normality of data distribution was analyzed using the Shapiro-Wilk test. The Kruskal-Wallis and Friedman tests were used for the push-out test data, while compressive strength was analyzed with analysis of variance and the Tukey test, considering a significance level of 0.05. Results: Biodentine presented a higher median bond strength value (14.79 MPa) than MTA Repair HP (8.84 MPa) and Bio-C Repair (3.48 MPa), with a significant difference only between Biodentine and Bio-C Repair. In the Biodentine group, the most frequent failure mode was mixed (61%), while in the MTA Repair HP and Bio-C Repair groups, it was adhesive (94% and 72%, respectively). Biodentine showed greater resistance to compression (29.59 ± 8.47 MPa) than MTA Repair HP (18.68 ± 7.40 MPa) and Bio-C Repair (19.96 ± 3.96 MPa) (p < 0.05). Conclusions: Biodentine showed greater compressive strength than MTA Repair HP and Bio-C Repair, and greater bond strength than Bio-C Repair. The most frequent failure mode of Biodentine was mixed, while that of MTA Repair HP and Bio-C Repair was adhesive.