• Title/Summary/Keyword: Summation

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Evaluation of Image Quality Change by Truncated Region in Brain PET/CT (Brain PET에서 Truncated Region에 의한 영상의 질 평가)

  • Lee, Hong-Jae;Do, Yong-Ho;Kim, Jin-Eui
    • The Korean Journal of Nuclear Medicine Technology
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    • v.19 no.2
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    • pp.68-73
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    • 2015
  • Purpose The purpose of this study was to evaluate image quality change by truncated region in field of view (FOV) of attenuation correction computed tomography (AC-CT) in brain PET/CT. Materials and Methods Biograph Truepoint 40 with TrueV (Siemens) was used as a scanner. $^{68}Ge$ phantom scan was performed with and without applying brain holder using brain PET/CT protocol. PET attenuation correction factor (ACF) was evaluated according to existence of pallet in FOV of AC-CT. FBP, OSEM-3D and PSF methods were applied for PET reconstruction. Parameters of iteration 4, subsets 21 and gaussian 2 mm filter were applied for iterative reconstruction methods. Window level 2900, width 6000 and level 4, 200, width 1000 were set for visual evaluation of PET AC images. Vertical profiles of 5 slices and 20 slices summation images applied gaussian 5 mm filter were produced for evaluating integral uniformity. Results Patient pallet was not covered in FOV of AC-CT when without applying brain holder because of small size of FOV. It resulted in defect of ACF sinogram by truncated region in ACF evaluation. When without applying brain holder, defect was appeared in lower part of transverse image on condition of window level 4200, width 1000 in PET AC image evaluation. With and without applying brain holder, integral uniformities of 5 slices and 20 slices summation images were 7.2%, 6.7% and 11.7%, 6.7%. Conclusion Truncated region by small FOV results in count defect in occipital lobe of brain in clinical or research studies. It is necessary to understand effect of truncated region and apply appropriate accessory for brain PET/CT.

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Study on Physiological Summation in Peripheral Retina for Eccentric Viewing Training (중심외주시 훈련용 주변부 망막의 생리적 가중에 관한 연구)

  • Seo, Jae-Myoung;Lee, Ki-Young
    • Journal of Korean Ophthalmic Optics Society
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    • v.18 no.4
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    • pp.489-493
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    • 2013
  • Purpose: This study was to investigate peripheral vision and provide people with macular degeneration with a guideline for eccentric viewing training. Methods: 30 adult subjects with normal vision took part in this study. The lateral area of $20^{\circ}$ eccentricity from the fovea of right eye was only used to measure the physiological summation. The target was sinusoidal vertical gratings within a circular aperture. The critical points in spatial and temporal summation was found to compare each other for 0.7 cpd and 3.0 cpd, respectively. Results: Critical duration and contrast sensitivity for 0.7 cpd were 540 ms and 1.1, and 315 ms and 0.98 for 3.0 cpd respectively. The critical degrees and contrast sensitivity for 0.7 cpd were $11.3^{\circ}$ and 2.8, and $5^{\circ}$ and 2.63 for 3.0 cpd respectively. Conclusions: The critical point in peripheral vision reaches relatively faster than the one in central vision. It is recommended to train the peripheral retina under the lower spatial frequency more frequently for a short time than constantly for a long time.

The Fourth and Eighth Order Mock Theta Functions

  • Srivastava, Bhaskar
    • Kyungpook Mathematical Journal
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    • v.50 no.1
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    • pp.165-175
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    • 2010
  • In the paper we consider deemed three mock theta functions introduced by Hikami. We have given their alternative expressions in double summation analogous to Hecke type expansion. In proving we also give a new Bailey pair relative to $a^2$. I presume they will be helpful in getting fundamental transformations.

Real-time Estimation of the Earthquake Magnitude Using the Bracketed Cumulative and Peak Parameters of the Ground-motion Acceleration of a Single Station (단일 지진관측소의 지반가속도 구간 누적값 및 최대값 파라미터를 이용한 실시간 지진규모 추정 연구)

  • Yun, Kwan Hee
    • Journal of the Earthquake Engineering Society of Korea
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    • v.18 no.1
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    • pp.29-36
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    • 2014
  • In industrial facilities sites, the conventional method determining the earthquake magnitude (M) using earthquake ground-motion records is generally not applicable due to the poor quality of data. Therefore, a new methodology is proposed for determining the earthquake magnitude in real-time based on the amplitude measures of the ground-motion acceleration mostly from S-wave packets with the higher signal-to-ratios, given the Vs30 of the site. The amplitude measures include the bracketed cumulative parameters and peak ground acceleration (As). The cumulative parameter is either CAV (Cumulative Absolute Velocity) with 100 SPS (sampling per second) or BSPGA (Bracketed Summation of the PGAs) with 1 SPS. The arithmetic equations to determine the earthquake magnitude are derived from the CAV(BSPGA)-As-M relations. For the application to broad ranges of earthquake magnitude and distance, the multiple relations of CAV(BSPGA)-As-M are derived based on worldwide earthquake records and successfully used to determine the earthquake magnitude with a standard deviation of ${\pm}0.6M$.

Evaluation of the Acceleration-factor and Analysis of the Vibration Fatigue for the Connection-pipe to the Compressor under the Random Vibration (랜덤 진동 조건에서의 압축기 연결 파이프에 대한 가속 수명 팩터 선정 및 진동 피로 해석)

  • Han, Hyung-Suk;Jung, Woo-Seoung;Yoon, Kyung-Jong;Mo, Jin-Yong
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.18 no.3
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    • pp.323-334
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    • 2008
  • According to the delivery condition, the breakage of a product occurs when it is delivered to the customers. Therefore product's makers evaluate the durability under the delivery process by accelerated life testing. In order to conduct this accelerated life testing accurately, it is very important to identify the acceleration-factor exactly between on-road and accelerated life test condition. In this paper, the acceleration-factor is identified by applying linear damage summation law, rain-flow cycle counting and Dirlik theory under the conditions of the random vibration. And approximated FEM model of the connecting-pipe to the compressor is developed for fatigue analysis. This model is finally verified by comparing the experiment results to the numerical analysis results.

Prioritization of Alternatives by Quantifying the Effect on Water Quanity and Quality using PCSWMM (PCSWMM 모형의 수량 및 수질 측면의 효과분석 결과를 이용한 대안의 우선순위 제시)

  • Hong, Won-Pyo;Chung, Eun-Sung;Kim, SangUg;Park, Kyung-Shin;Lee, Kil Seong
    • Journal of Korean Society on Water Environment
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    • v.25 no.1
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    • pp.37-47
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    • 2009
  • This study analyzes the effect of alternatives and estimates alternatives evaluation index (AEI) using PCSWMM and weighted summation method. PCSWMM considering combined sewer overflows (CSOs) in the Mokgamcheon watershed was used and effectiveness analysis of alternative was conducted to develop not only flowrate but also the pollutant of BOD and SS. Indicators of AEI are selected using sustainability evaluation concept, driver-pressure-state-impact-response (DPSIR) framework and calculated by weighted summation method. After estimating AEI, alternatives was classified into three groups G (Good), A (Acceptable) and P (Poor) grade. As a results, it is analyzed that alternatives applied to Oryucheon were G grade and those of Yeokgokcheon were P grade and the remainings were 'A' grade. This result will be effective to the integrated watershed management for sustainablility.

A study on classification accuracy improvements using orthogonal summation of posterior probabilities (사후확률 결합에 의한 분류정확도 향상에 관한 연구)

  • 정재준
    • Spatial Information Research
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    • v.12 no.1
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    • pp.111-125
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    • 2004
  • Improvements of classification accuracy are main issues in satellite image classification. Considering the facts that multiple images in the same area are available, there are needs on researches aiming improvements of classification accuracy using multiple data sets. In this study, orthogonal summation method of Dempster-Shafer theory (theory of evidence) is proposed as a multiple imagery classification method and posterior probabilities and classification uncertainty are used in calculation process. Accuracies of the proposed method are higher than conventional classification methods, maximum likelihood classification(MLC) of each data and MLC of merged data sets, which can be certified through statistical tests of mean difference.

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