• 제목/요약/키워드: Test vector

검색결과 1,063건 처리시간 0.026초

움직임 특성을 이용한 적응적 교차 움직임 벡터 부-복호화 (Adaptive Interleaved Motion Vector Coding using Motion Characteristics)

  • 원광현;양정엽;박대윤;전병우
    • 방송공학회논문지
    • /
    • 제16권2호
    • /
    • pp.372-383
    • /
    • 2011
  • 본 논문은 영상의 움직임 특성을 참조하여 움직임 벡터 수평-수직 성분중 하나를 최적의 예측 움직임 벡터 성분으로 선택하여 사용할 수 있는 개선된 교차 움직임벡터 부호화 방법을 제시한다. 제안방법은 부-복호화를 수행할 움직임 벡터 성분의 순서를 복호화기에 알리는 신호비트를 별도로 보낼 필요 없이, 시공간적 움직임필드의 특성을 참조하여 적절한 움직임벡터 성분 예측치를 적응적으로 사용할 수 있다. 기존 H.264/AVC 방법과 비교한 실험 결과, 평균적으로 전체 비트량을 약 1.99% (최대 8.71%) 감소시킬 수 있음을 보여준다.

방사선 진행방향을 이용한 원격치료장치의 기계적 정확성 평가방법 (A Method for Evaluation of Mechanical Accuracy of a Teletherapy Machine Using Beam Directions)

  • 강위생
    • 한국의학물리학회지:의학물리
    • /
    • 제7권1호
    • /
    • pp.53-64
    • /
    • 1996
  • 목적 : 별모양무늬를 이용하여 원격 방사선치료기의 회전축의 정확성을 평가할 때 방사선의 진행방향을 고려해야 하는 이론적 근거와 방법을 개발하고, 방사선의 진행방향이 기록되지 않는 경우 길이 방향의 비대칭 조사면을 이용하여 흉내내는 방법을 개발하는 것이다. 방법 : 갠트리 회전축의 기계적 정확성을 평가하기 위해 방사선의 진행방향을 고려하였다. 좁은 조사면에 의해 별모양무늬를 만들어 회전축이라고 어림되는 교점에서 l0cm 떨어진 위치의 측방선량분포를 필름농도계로 측정하여 선축의 좌표를 구하고 하나의 선축에 있는 한 쌍의 좌표를 이용하여 선축의 식을 구한다. 선축과 일치하는 방사선 진행방향의 단위벡터 equation omitted를 구하고 가정된 회전축의 좌표에서 각 선축으로 향하는 벡터 equation omitted와 equation omitted의 벡터곱 equation omitted$\times$equation omitted을 구하여 평균을 취하고 평균에 대한 벡터곱의 최소자승법을 적용하여 회전축의 좌표를 구한다. 그 때 벡터곱의 최대치의 절대값이 구하는 회전축의 정확도이다. 방사선의 진행방향을 고려할 수 없는 콜리메이터와 치료대에 대해서는 진행방향에 대응하는 것으로 긴 방향이 비대칭인 조사면을 이용하였다. 결과 : 동일한 별모양 무늬에 대해 방사선의 진행방향을 고려할 때 회전축의 기계적 정확성이 진행방향을 무시할 때와 다르게 평가되었다. 결론 : 별모양 무늬를 이용하여 원격치료기의 기계적 정확성을 평가할 때는 방사선의 진행방향을 고려하거나 흉내내어 정량적으로 평가해야 한다.

  • PDF

민감도 벡터를 이용한 스팀 터빈의 Morton Effect 발생 예측 (Predicting the Morton Effect in a Steam Turbine with Sensitivity Vector)

  • 이동현;김병옥;전병찬;서준호;강신훈;김세룡
    • Tribology and Lubricants
    • /
    • 제40권2호
    • /
    • pp.39-46
    • /
    • 2024
  • The Morton effect (ME) is an instability phenomenon occurring in rotating machineries supported by fluid film bearings and is induced by the thermal deformation of the overhung mass, which is a part of the rotating shaft. Herein, we describe the ME during the high-speed balancing test of a 20 MW class steam turbine. Additionally, to predict the rotating speed at which the ME occurs, we apply the sensitivity vector theory for the steam turbine. During the operation of the steam turbine, we observe a continuous increase in vibration and hysteresis near the rated speed, which is typical of the ME. Increasing the temperature of the lubricating oil supplied to the bearings from 40 to 60℃ suppresses the occurrence of the ME. The rotordynamic analysis for the steam turbine suggests the existence of a mode in which the overhung mass undergoes significant deformation near the rated speed, and we presume that such a mode will increase the occurrence of the ME. The predicted rotating speed of ME occurrence, obtained through the sensitivity vector method, correlates with the test results. Moreover, increasing the temperature of the supplied lubricating oil mitigates the occurrence of ME by reducing the sensitivity between the temperature deviation vector and unbalance mass vector.

Application of support vector regression for the prediction of concrete strength

  • Lee, Jong-Jae;Kim, Doo-Kie;Chang, Seong-Kyu;Lee, Jang-Ho
    • Computers and Concrete
    • /
    • 제4권4호
    • /
    • pp.299-316
    • /
    • 2007
  • The compressive strength of concrete is a commonly used criterion in producing concrete. However, the test on the compressive strength is complicated and time-consuming. More importantly, since the test is usually performed 28 days after the placement of the concrete at the construction site, it is too late to make improvements if unsatisfactory test results are incurred. Therefore, an accurate and practical strength estimation method that can be used before the placement of concrete is highly desirable. In this study, the estimation of the concrete strength is performed using support vector regression (SVR) based on the mix proportion data from two ready-mixed concrete companies. The estimation performance of the SVR is then compared with that of neural network (NN). The SVR method has been found to be very efficient in estimation accuracy as well as computation time, and very practical in terms of training rather than the explicit regression analyses and the NN techniques.

A Study on the Dynamic Relationship between Cultural Industry and Economic Growth

  • He, Yugang
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제5권4호
    • /
    • pp.85-94
    • /
    • 2018
  • The cultural industry is treated as the sunrise industry in modern society. It has taken an increasing role in promoting the economic growth. Due to this, this paper attempts to explore the dynamic relationship between cultural industry and the economic growth. On the grounds of Cobb-Douglas production function, the cultural industry is regarded as a determinant such as the labor input and the capital input to impact the economic growth. Meanwhile, the quarterly datum form 2000-Q1 to 2017-Q4 are employed to perform an empirical analysis via the vector error correction model. The GDP is treated as an independent variable. The input of capital, the input of labor and the total input of cultural industry are treated as dependent variables. Furthermore, a menu of statistical approaches such as the co-integration test and the impulse response function will be used to testify the dynamic relationship between cultural industry and economic growth. Via the Johansen co-integration test, the results report that the cultural industry has a obviously positive effect on economic growth. Through the vector error correction estimation, the results also report that the cultural industry also has a significantly positive effect on economic growth, but less than that of the Johansen co-integration test. This paper provides a view that the cultural industry is a kind of a determinant to promote the economic growth. Therefore, the China's government should pay much attention to the cultural industry construction.

Ready-Made Garments (RMG) Export Earnings and Economic Development of Bangladesh: Empirical Analysis Using Vector Error Correction Model

  • JIBAN, Abul Jannat;BISWAS, Gautam Kumar;YANG, Shaohua
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제9권10호
    • /
    • pp.29-38
    • /
    • 2022
  • Ready-made Garments (RMG) export earnings, which are almost 80% of the total exports of Bangladesh, have been recognized as one of the main catalysts for the recent development of the country. Therefore, the need to determine whether the RMG export had served as a mechanism for increasing the GDP growth as well as the economic development of the country is topical and pressing. We have applied the Johansen Co-integration test and Vector Error Correction Model (VECM) to reveal the linkage of RMG export earnings and other variables with the GDP growth rate in Bangladesh. Using data from 1990 to 2020 for Bangladesh, we have found long-run as well as short-run associations among RMG Export earnings, Foreign Direct Investment (FDI), and GDP growth. A co-integration among the variables is validated through the Johansen Co-integration test. Moreover, a causal correlation running from RMG export earnings to GDP was revealed by the Granger causality test in the long run. Finally, we estimated impulse response functions to observe the variations of model variables in response to a shock. Our result supports the proposition that RMG export earnings are one of the main growth engines in Bangladesh and this sector leads growth in other sectors also in the long term.

Recombinant Adenoviral Vector Containing Tumor-Specific L-Plastin Promoter Fused to Cytosine Deaminase Gene as a Transcription Unit: Generation and Functional Test

  • Chung, In-Jae;Deisseroth, Albert-B.
    • Archives of Pharmacal Research
    • /
    • 제27권6호
    • /
    • pp.633-639
    • /
    • 2004
  • The expression of therapeutic transgenes in recombinant adenoviral vectors is a major cause of toxicity in dividing cancer cells as well as non dividing normal cells. To solve the problem of toxicity to normal cells, we have reported on a recombinant adenoviral vector system (AdLP-) in which the expression of the transgene is directed by the tumor-specific L-plastin promoter (LP) (Chung et al., 1999). The object of this study was to generate a recombinant adenoviral vector system which would generate tumor cell specific expression of cytosine deaminase (CD) gene. We report the construction of a replication-incompetent adenoviral vector in which CD is driven by the L-plastin promoter (AdLPCD). Infection of 293 cells by AdLPCD generated the functional CD protein as measured by HPLC analysis for the conversion of 5-Fluorocy-tosine (5-FC) to 5-Fluorouracil (5-FU). HPLC analysis in conjunction with counting radioactivity for [6-$^3$H]-5FC and [6-$^3$H]-5FU demonstrated vector dose-dependent conversion of 5-FC to 5-FU in AdLPCD infected ovarian cancer cells. The results from present and previous studies(Peng et al., 2001; Akbulut et al., 2003) suggest that the use of the AdLPCD/5-FC system may be of value in the treatment of cancer including microscopic ovarian cancer in the peritoneal cavity.

Classification of HDAC8 Inhibitors and Non-Inhibitors Using Support Vector Machines

  • Cao, Guang Ping;Thangapandian, Sundarapandian;John, Shalini;Lee, Keun-Woo
    • Interdisciplinary Bio Central
    • /
    • 제4권1호
    • /
    • pp.2.1-2.7
    • /
    • 2012
  • Introduction: Histone deacetylases (HDAC) are a class of enzymes that remove acetyl groups from ${\varepsilon}$-N-acetyl lysine amino acids of histone proteins. Their action is opposite to that of histone acetyltransferase that adds acetyl groups to these lysines. Only few HDAC inhibitors are approved and used as anti-cancer therapeutics. Thus, discovery of new and potential HDAC inhibitors are necessary in the effective treatment of cancer. Materials and Methods: This study proposed a method using support vector machine (SVM) to classify HDAC8 inhibitors and non-inhibitors in early-phase virtual compound filtering and screening. The 100 experimentally known HDAC8 inhibitors including 52 inhibitors and 48 non-inhibitors were used in this study. A set of molecular descriptors was calculated for all compounds in the dataset using ADRIANA. Code of Molecular Networks. Different kernel functions available from SVM Tools of free support vector machine software and training and test sets of varying size were used in model generation and validation. Results and Conclusion: The best model obtained using kernel functions has shown 75% of accuracy on test set prediction. The other models have also displayed good prediction over the test set compounds. The results of this study can be used as simple and effective filters in the drug discovery process.

VAR 모형을 이용한 크기별 완도 전복가격의 선도가격 분석 (A Leading-price Analysis of Wando Abalone Producer Prices by Shell Size Using VAR Model)

  • 남종오;심성현
    • Ocean and Polar Research
    • /
    • 제36권4호
    • /
    • pp.327-341
    • /
    • 2014
  • This study aims to analyze causality among Wando abalone producer prices by size using a vector autoregressive model to expiscate the leading-price of Wando abalone in various price classes by size per kg. This study, using an analytical approach, applies a unit-root test for stability of data, a Granger causality test to learn about interaction among price classes by size for Wando abalone, and a vector autoregressive model to estimate the statistical impact among t-1 variables used in the model. As a result of our leading-price analysis of Wando abalone producer prices by shell size using a VAR model, first, DF, PP, and KPSS tests showed that the Wando abalone monthly price change rate by size differentiated by logarithm were stable. Second, the Granger causality relationship analysis showed that the price change rate for big size abalone weakly led the price change rate for the small and medium sizes of abalone. Third, the vector autoregressive model showed that three price change rates of t-1 period variables statistically, significantly impacted price change rates of own size and other sizes in t period. Fourth, the impulse response analysis indicated that the impulse responses of structural shocks for price change rate for big size abalone was relatively more powerful in its own size and in other sizes than shocks emanating from other sizes. Fifth, the variance decomposition analysis indicated that the price change rate for big size abalone was relatively more influential than the price change rates for medium and small size abalone.

실업률 변동구조의 분석과 전환점 진단 (An Analysis for the Structural Variation in the Unemployment Rate and the Test for the Turning Point)

  • 김태호;황성혜;이영훈
    • 응용통계연구
    • /
    • 제18권2호
    • /
    • pp.253-269
    • /
    • 2005
  • 회귀모형의 기본가정은 추정된 계수들이 표본 내의 모든 관측값에 대해 일정하다는 것이다. 그러나 자료의 구조적 변화로 인해 모형의 추정계수 중 최소한 일부는 상이한 부분집합으로 전체 표본을 분할해야 하는 경우가 현실적으로는 흔히 존재한다. 본 연구에서는 두 회귀모형 계수들간의 동일성을 검정하는 방법을 확대${\cdot}$일반화하여 자료의 분할시점을 탐색하는 검정절차와 결합시킨 후 이를 최근 가장 큰 사회적 문제가 되고 있는 실업률의 구조변화 발생 여부와 시점을 판별하는 실증분석에 적용시켜 보았다.