• Title/Summary/Keyword: density measurement algorithm

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Spectral clustering based on the local similarity measure of shared neighbors

  • Cao, Zongqi;Chen, Hongjia;Wang, Xiang
    • ETRI Journal
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    • v.44 no.5
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    • pp.769-779
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    • 2022
  • Spectral clustering has become a typical and efficient clustering method used in a variety of applications. The critical step of spectral clustering is the similarity measurement, which largely determines the performance of the spectral clustering method. In this paper, we propose a novel spectral clustering algorithm based on the local similarity measure of shared neighbors. This similarity measurement exploits the local density information between data points based on the weight of the shared neighbors in a directed k-nearest neighbor graph with only one parameter k, that is, the number of nearest neighbors. Numerical experiments on synthetic and real-world datasets demonstrate that our proposed algorithm outperforms other existing spectral clustering algorithms in terms of the clustering performance measured via the normalized mutual information, clustering accuracy, and F-measure. As an example, the proposed method can provide an improvement of 15.82% in the clustering performance for the Soybean dataset.

Study on enhancing the ultrasonic image for bone densitometry (골밀도 측정을 위한 초음파 영상 개선에 관한 연구)

  • Shin, Jung-Sik;Ahn, Jung-Hwan;Kim, Hyung-Joon;Kim, Hwa-Young;Han, Seung-Moo
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.8 s.173
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    • pp.182-191
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    • 2005
  • It is very important to obtain a high quality of bone image for an accurate ultrasonic measurement of bone mineral density. In this study, we suggested a technique to acquire an optimal image by adapting an acoustic lens and a properly selected ultrasonic probe. Also, we have applied an image processing algorithm with which automatically makes a decision of brightness and contrast of image by generating threshold level, a composition of ultrasonic data, an elimination of noise using modified median filter, and a real time interpolation. We could confirm much improved resolution of bone image with acoustic lens attached to the ultrasonic probe and with the image processing algorithm suggested in this study. Therefore, it became possible to precisely diagnose the osteoprosis using ultrasonic imaging technique.

Measurement and Comparison of Iron Loss in Bonded- and Embossed-Type Segmented Stator Cores for IPMSM

  • Jeong, Kwangyoung;Zhang, Dianhai;Kwon, Jaehoon;Ren, Ziyan;Koh, Chang-Seop
    • Journal of Electrical Engineering and Technology
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    • v.9 no.6
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    • pp.2013-2018
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    • 2014
  • According to the manufacturing process of the laminated stator core for an inserted permanent magnet synchronous motor (IPMSM), the iron loss may be different. It is because the mechanical stress imposed to electrical steel sheet is strongly dependent on the manufacturing process. This paper proposes a new iron loss measurement algorithm which utilizes the induced voltage of a search coil and exciting current. The method is effective even when the distribution of magnetic flux density is not uniform along the magnetic flux path as well as uniform. The developed iron loss measurement system is applied to bonded- and embossed-type segmented stator cores of an IPMSM, and the iron losses are quantitatively compared.

Development of Moving Force Identification Algorithm Using Moment Influence Lines at Multiple-Axes and Density Estimation Function (다축모멘트 영향선과 밀도추정함수를 사용한 이동하중식별 알고리듬의 개발)

  • Jeong, Ji-Weon;Shin, Soobong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.10 no.6
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    • pp.87-94
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    • 2006
  • Estimating moving vehicle loads is important in modeling design loads for bridge design and construction. The paper proposes a moving force identification algorithm using moment influence lines measured at multi-axes. Density estimation function was applied to estimate more than two wheel loads when estimated load values fluctuated severely. The algorithm has been examined through simulation studies on a simple-span plate-girder bridge. Influences of measurement noise and error in velocity on the identification results were investigated in the simulation study. Also, laboratory experiments were carried out to examine the algorithm. The load identification capability was dependent on the type and speed of moving loads, but the developed algorithm could identify loads within 10% error in maximum.

Reliability of Skeletal Muscle Area Measurement on CT with Different Parameters: A Phantom Study

  • Dong Wook Kim;Jiyeon Ha;Yousun Ko;Kyung Won Kim;Taeyong Park;Jeongjin Lee;Myung-Won You;Kwon-Ha Yoon;Ji Yong Park;Young Jin Kee;Hong-Kyu Kim
    • Korean Journal of Radiology
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    • v.22 no.4
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    • pp.624-633
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    • 2021
  • Objective: To evaluate the reliability of CT measurements of muscle quantity and quality using variable CT parameters. Materials and Methods: A phantom, simulating the L2-4 vertebral levels, was used for this study. CT images were repeatedly acquired with modulation of tube voltage, tube current, slice thickness, and the image reconstruction algorithm. Reference standard muscle compartments were obtained from the reference maps of the phantom. Cross-sectional area based on the Hounsfield unit (HU) thresholds of muscle and its components, and the mean density of the reference standard muscle compartment, were used to measure the muscle quantity and quality using different CT protocols. Signal-to-noise ratios (SNRs) were calculated in the images acquired with different settings. Results: The skeletal muscle area (threshold, -29 to 150 HU) was constant, regardless of the protocol, occupying at least 91.7% of the reference standard muscle compartment. Conversely, normal attenuation muscle area (30-150 HU) was not constant in the different protocols, varying between 59.7% and 81.7% of the reference standard muscle compartment. The mean density was lower than the target density stated by the manufacturer (45 HU) in all cases (range, 39.0-44.9 HU). The SNR decreased with low tube voltage, low tube current, and in sections with thin slices, whereas it increased when the iterative reconstruction algorithm was used. Conclusion: Measurement of muscle quantity using HU threshold was reliable, regardless of the CT protocol used. Conversely, the measurement of muscle quality using the mean density and narrow HU thresholds were inconsistent and inaccurate across different CT protocols. Therefore, further studies are warranted in future to determine the optimal CT protocols for reliable measurements of muscle quality.

Models for Measurement of Efficiency of Free Flight Separation Assurance (자유비행 분리보증 효율성 측정모델 연구)

  • Lee, Dae-Yong;Young, Kang-Ja
    • Journal of Advanced Navigation Technology
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    • v.15 no.6
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    • pp.977-985
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    • 2011
  • Airborne separation assurance is a key requirement for Free Flight Airspace operations, This paper study the feasibility of airborne separation assurance for free flight Airspaces operations by evaluating the efficiency measurement models. Three qualitatively different methods are utilized; one based Ground and Air conflict probability model, other based Dynamic Density model. the other based Direct operating cost model. The evaluation is Direct Operating Cost model and Two metrics are utilized for the efficiency measurements; airborne separation assurance performed quite well in the Free Flight evaluation; (1) 2 scenario of the conflict situations are resolved; (2) The MD-80 flight peformed separation assurance and efficiency, Not only appling for geometric method algorithm is more efficiently than potential method, but also the most efficiently geometric combined method.

An Enhanced Density and Grid based Spatial Clustering Algorithm for Large Spatial Database (대용량 공간데이터베이스를 위한 확장된 밀도-격자 기반의 공간 클러스터링 알고리즘)

  • Gao, Song;Kim, Ho-Seok;Xia, Ying;Kim, Gyoung-Bae;Bae, Hae-Young
    • The KIPS Transactions:PartD
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    • v.13D no.5 s.108
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    • pp.633-640
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    • 2006
  • Spatial clustering, which groups similar objects based on their distance, connectivity, or their relative density in space, is an important component of spatial data mining. Density-based and grid-based clustering are two main clustering approaches. The former is famous for its capability of discovering clusters of various shapes and eliminating noises, while the latter is well known for its high speed. Clustering large data sets has always been a serious challenge for clustering algorithms, because huge data set would make the clustering process extremely costly. In this paper, we propose an enhanced Density-Grid based Clustering algorithm for Large spatial database by setting a default number of intervals and removing the outliers effectively with the help of a proper measurement to identify areas of high density in the input data space. We use a density threshold DT to recognize dense cells before neighbor dense cells are combined to form clusters. When proposed algorithm is performed on large dataset, a proper granularity of each dimension in data space and a density threshold for recognizing dense areas can improve the performance of this algorithm. We combine grid-based and density-based methods together to not only increase the efficiency but also find clusters with arbitrary shape. Synthetic datasets are used for experimental evaluation which shows that proposed method has high performance and accuracy in the experiments.

NUMERICAL SIMULATION OF SHOCK FOCUSING PHENOMENON BY CARTESIAN EMBEDDED BOUNDARY METHOD AND WAVE PROPAGATION ALGORITHM (내장 카티지안 경계법과 파동전파 알고리즘을 사용한 충격파 집속 현상의 수치적 시뮬레이션)

  • Jung, Y.G.;Chang, K.S.
    • Journal of computational fluids engineering
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    • v.15 no.2
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    • pp.14-20
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    • 2010
  • Shock-focusing concave reflectors can have parabolic, circular or elliptic cross-sections. They produce effectively a very high pressure at the focusing point. In the past, many optical images have been obtained on shock focusing via experiments. Measurement of field variables is, however, difficult in the experiment. Using the wave propagation algorithm and the Cartesian embedded boundary method, we have successfully obtained numerical Schlieren images that appear very much like the experimental results. In addition, we obtained the detailed field variables such as pressure, velocity, density and vorticity in the unsteady domain. The present numerical results have made it possible to understand the shock focusing phenomenon in more detail than before.

Quantitative Measurements of Soot Particles in a Laminar Diffusion Flame Using a LII/LIS Technique (LII/LIS 기법을 이용한 층류확산화염 매연입자의 정량화)

  • Chung, J.W.;Lee, W.;Han, Y.T.;Kim, B.S.;Lee, C.B.;Kim, D.J.;Lee, K.H.
    • Journal of the Korean Society of Combustion
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    • v.8 no.4
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    • pp.1-8
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    • 2003
  • In this study, the quantification of soot particles in laminar diffusion flame with LII/LIS methods was performed. In these quantification, soot diameter, number density and volume fraction are included. For the quatification of soot particles, calibration tests are needed and the development of algorithm has to be performed. So, in this study, extinction and scattering test at co-flow burner were performed to acquire calibration data. And algorithm for LII/LIS simultaneous measurement for the quantification of soot were developed. The algorithm, which was the quantification of simultaneous photographing using one ICCD camera, to measure LII/LIS signal simultaneously, the best fitted light intensity and acquisition time was needed.

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The Parameters Extraction in Poly TFT Using Optimization Technique (최적화 기법에 의한 다결정 TFT(Thin Film Transistor)의 매개 변수 추출)

  • 김홍배;손상희;박용헌
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.40 no.6
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    • pp.582-589
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    • 1991
  • We used Cd Se as the semiconductor to analyze the Poly-TFT. Cd Se TFT is fabricated by the vacuum evaporation method and the characteristics curves of the current-voltage are obtained using the results of measurement of Cd Se TFT devices. Employing least square method and Rosenbrock algorithm, we can extract the device parameters(grain boundary mobility, trap density). The current-voltage relations calculated by extracted parameters are in good agreement with experimental results.

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