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Journal articles on the topic 'Detection Coefficient'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Najam, Laith Ahmed, Abdalsattar Kareem Hashim, Hussein Abdulkareem Ahmed, and Israa M. Hassan. "Study the Attenuation Coefficient of Granite to Use It as Shields against Gamma Ray." Detection 04, no. 02 (2016): 33–39. http://dx.doi.org/10.4236/detection.2016.42005.

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Yang, Hui, Xue Song Zhao, and Jun Jun Zong. "A Bioaerosol Detection IRLidar." Advanced Materials Research 941-944 (June 2014): 1178–83. http://dx.doi.org/10.4028/www.scientific.net/amr.941-944.1178.

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Lidar is the main standoff detection system against bioagent/bioaerosol, An infrared lidar has been developed for bioagent/bioaerosol monitoring. The overall architecture and specifications of the lidar were described. The results of overlap coefficient, horizontal and slant measurements at Hefei, such as comparison of observed horizontal extinction coefficients between commercial MPL Lidar and the IRLidar, the slant path time-space extinction coefficient distributions have been revealed and discussed. The results show that the IRLidar is a reliable lidar with advanced performances.

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Mortuza, Fahad Bin. "Kernel-Coefficient-Based Feature Method for Face Detection." International Journal of Image and Graphics 19, no. 02 (2019): 1950009. http://dx.doi.org/10.1142/s0219467819500098.

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A kernel-coefficient-based feature method is proposed to detect faces. The proposed method uses a mathematical expression and 26 different arrangements of kernel-coefficients of a kernel (testing region). The method manipulates the symmetric appearance of a face with respect to a rigid-kernel (fixed region). The expression, which is used to generate feature values, responds to pixels on edges of the image-objects only. For each distinct arrangement of kernel-coefficients, a feature-value is generated. The objective of the proposed kernel-coefficient-based feature method is to reduce the number

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Chui, Kwok Tai, Wadee Alhalabi, and Ryan Wen Liu. "Head motion coefficient-based algorithm for distracted driving detection." Data Technologies and Applications 53, no. 2 (2019): 171–88. http://dx.doi.org/10.1108/dta-09-2018-0086.

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PurposeConcentration is the key to safer driving. Ideally, drivers should focus mainly on front views and side mirrors. Typical distractions are eating, drinking, cell phone use, using and searching things in car as well as looking at something outside the car. In this paper, distracted driving detection algorithm is targeting on nine scenarios nodding, head shaking, moving the head 45° to upper left and back to position, moving the head 45° to lower left and back to position, moving the head 45° to upper right and back to position, moving the head 45° to lower right and back to position, movi

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Saganowski, Łukasz, and Tomasz Andrysiak. "Snort IDS Hybrid ADS Preprocessor." Image Processing & Communications 17, no. 4 (2012): 17–22. http://dx.doi.org/10.2478/v10248-012-0024-0.

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Abstract The paper presents hybrid anomaly detection preprocessor for SNORT IDS - Intrusion Detection System [1] base on statistical test and DWT - Discrete Wavelet Transform coefficient analysis. Preprocessor increases functionality of SNORT IDS system and has complementary properties. Possibility of detection network anomalies is increased by using two different algorithms. SNORT captures network traffic features which are used by ADS (Anomaly Detection System) preprocessor for detecting anomalies. Chi-square statistical test and DWT subband coefficients energy values are used for calculatin

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Lee, Chang-Young, Suk-Moon Chung, and Nam-Ho Kim. "Edge Detection Method using Modified Coefficient Masks." Journal of the Institute of Electronics Engineers of Korea 50, no. 5 (2013): 218–23. http://dx.doi.org/10.5573/ieek.2013.50.5.218.

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Santiago, Caio, Vivian Pereira, and Luciano Digiampietri. "Homology Detection Using Multilayer Maximum Clustering Coefficient." Journal of Computational Biology 25, no. 12 (2018): 1328–38. http://dx.doi.org/10.1089/cmb.2017.0266.

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Cepel, Raina, K. Ho, Brett Rinker, Donald Palmer, Terrence Lerch, and Steven Neal. "Spatial Correlation Coefficient Images for Ultrasonic Detection." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 54, no. 9 (2007): 1841–50. http://dx.doi.org/10.1109/tuffc.2007.468.

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Wang, Zhen, Fang Liu, Lian Qing Yu, and Shuang Hong Chen. "Structural Damage Detection Using Sensitivity-Enhanced Autoregressive Coefficients." International Journal of Structural Stability and Dynamics 16, no. 03 (2016): 1550001. http://dx.doi.org/10.1142/s0219455415500017.

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This paper presents an innovative technique for structural damage detection based on time series analysis with feedback controllers incorporated into the structure. The sensitivity of autoregressive (AR) coefficients to element stiffness is first derived, and it is proposed that the sensitivity of the AR coefficients can be enhanced by intentionally assigning the poles of the detection system. Finally, an [Formula: see text] control chart is constructed based on the sensitivity-enhanced AR coefficient. Identification of the occurrence of damage is achieved by monitoring statistically significa

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Uprety, Pralhad, Fumio Yamazaki, and Fabio Dell'Acqua. "Damage Detection Using High-Resolution SAR Imagery in the 2009 L'Aquila, Italy, Earthquake." Earthquake Spectra 29, no. 4 (2013): 1521–35. http://dx.doi.org/10.1193/060211eqs126m.

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Satellite remote sensing is being used to monitor disaster-affected areas for post-disaster reconnaissance and recovery. One of the special features of Synthetic Aperture Radar (SAR) is that it can operate day and night and penetrate the cloud cover because of which it is being widely used in emergency situations. Building damage detection for the 6 April 2009 L'Aquila, Italy, earthquake was conducted using high-resolution TerraSAR-X images obtained before and after the event. The correlation coefficient and the difference of backscatter coefficients of the pre- and post-event images were calc

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Ding, Wen, Tao Guo, Chong Ji, and Rui Qi Shen. "Application of Distribution of Oxygen Coefficient in Explosive Neutron Detection." Advanced Materials Research 887-888 (February 2014): 1040–47. http://dx.doi.org/10.4028/www.scientific.net/amr.887-888.1040.

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Oxygen coefficients of 396 explosives, including liquid and solid explosives, 177 dangerous materials, including oxidants, combustible substances, chemical hazards and narcotics, and 9 common packing materials were collected and compared. It can be seem that the explosives can be distinguished from non-explosives by oxygen coefficient with boundary 0.3 to 1.2. This result can support a convincing proof for explosive neutron detection.

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A., Dr Amaresh Kumar. "Detection of Diffusion-Weighted and Apparent Diffusion Coefficient MRI Abnormalities in 100 Patients with Stroke." Journal of Medical Science And clinical Research 05, no. 03 (2017): 18450–56. http://dx.doi.org/10.18535/jmscr/v5i3.29.

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Liu, Yang, Suk-Hwan Lee, Seong-Geun Kwon, and Ki-Ryong Kwon. "Skin Pigmentation Detection Using Projection Transformed Block Coefficient." Journal of Korea Multimedia Society 16, no. 9 (2013): 1044–56. http://dx.doi.org/10.9717/kmms.2013.16.9.1044.

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Pakula, L., and S. Kay. "Detection performance of the circular correlation coefficient receiver." IEEE Transactions on Acoustics, Speech, and Signal Processing 34, no. 3 (1986): 399–404. http://dx.doi.org/10.1109/tassp.1986.1164866.

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Fan, Honghui, and Hongjin Zhu. "Motion vector detection based on local autocorrelation coefficient." Cluster Computing 22, S5 (2017): 11633–39. http://dx.doi.org/10.1007/s10586-017-1428-9.

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Zhou, Bi, Shen, Wang, and Wang. "Hough Transform-Based Large Dynamic Reflection Coefficient Micro-Motion Target Detection in SAR." Sensors 19, no. 14 (2019): 3227. http://dx.doi.org/10.3390/s19143227.

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Special phase modulation of SAR echoes resulted from target rotation or vibration, is a phenomenon called the micro-Doppler (m-D) effect. Such an effect offers favorable information for micro-motion (MM) target detection, thereby improving the performance of the synthetic aperture radar (SAR) system. However, when there are MM targets with large differences in reflection coefficient, the weak reflection components will be difficult to be detected. To find a solution to this problem, we propose a novel algorithm. First, we extract and detect the strongest reflection component. By removing the s

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Yan, Hong Juan, Chun Guang Xu, Qi Lin, and Hai Chao Cai. "Metal Surface Fatigue Detection Using Nonlinear Ultrasonic." Applied Mechanics and Materials 510 (February 2014): 156–62. http://dx.doi.org/10.4028/www.scientific.net/amm.510.156.

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Based on theory of ultrasonic nondestructive testing on surface fatigue damage of metal components, the wave law of ultrasonic nonlinearity caused by fatigue is studied. When there are lattice defects in metal material, second-order nonlinear coefficient β changes during ultrasonic propagation. According to the point, the system of nonlinear ultrasonic testing is build. The change trends of harmonic amplitudes and ultrasonic coefficients are measured during fatigue bending testing of materials such as 45 steel, 2024 aluminum alloy and 304 stainless steel. The results shows: in elastic phase, t

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Zhou, Shi Bo, and Wei Xiang Xu. "Local Outlier Detection Algorithm Based on Coefficient of Variation." Applied Mechanics and Materials 635-637 (September 2014): 1723–28. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1723.

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Local outliers detection is an important issue in data mining. By analyzing the limitations of the existing outlier detection algorthms, a local outlier detection algorthm based on coefficient of variation is introduced. This algorthms applies K-means which is strong in outliers searching, divides data set into sections, puts outliers and their nearing clusters into a local neighbourhood, then figures out the local deviation factor of each local neighbourhood by coefficient of variation, as a result, local outliers can more likely be found.The heoretic analysis and experimental results indicat

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Zhang, Bei, Xiaoliang Wang, Yanhui Zhong, et al. "Temperature Correction for FWD Deflection in Cement Pavement Void Detection." Advances in Civil Engineering 2021 (February 10, 2021): 1–14. http://dx.doi.org/10.1155/2021/6668003.

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The use of the falling weight deflectometer (FWD) for detecting pavement voids is based on the principle that, under the same impact load, the deflection of pavements with voids increases significantly. Under the effect of temperature, the cement pavement becomes warped, which affects the deflection detection accuracy. In order to improve the accuracy of FWD detection of cement pavement voids, a three-dimensional numerical model of cement pavement on a multilayered elastic foundation under the coupled action of temperature and load is established in this paper. In addition, under different pav

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Zhang, Junyi, Hong Sun, Dehua Gao, et al. "Detection of Canopy Chlorophyll Content of Corn Based on Continuous Wavelet Transform Analysis." Remote Sensing 12, no. 17 (2020): 2741. http://dx.doi.org/10.3390/rs12172741.

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The content of chlorophyll, an important substance for photosynthesis in plants, is an important index used to characterize the photosynthetic rate and nutrient grade of plants. The real-time rapid acquisition of crop chlorophyll content is of great significance for guiding fine management and differentiated fertilization in the field. This study used the method of continuous wavelet transform (CWT) to process the collected visible and near-infrared spectra of a corn canopy. This task was conducted to extract the valuable information in the spectral data and improve the sensitivity of chloroph

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Singh, Gurvinder, and Kulbir Singh. "Video frame and region duplication forgery detection based on correlation coefficient and coefficient of variation." Multimedia Tools and Applications 78, no. 9 (2018): 11527–62. http://dx.doi.org/10.1007/s11042-018-6585-1.

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Wei, Zheng, Jun Yi Hou, Hua Tan, and Guang Nan Guo. "Research on Dynamic Intrusion Detection Model Based on Risk Coefficient." Advanced Materials Research 129-131 (August 2010): 124–27. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.124.

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Intrusion detection technology is a kind of network security technology that can protect system from attacks. Based on the definition of system call risk coefficient, the paper brought out a system risk coefficient based dynamic intrusion detection model. Using the model, the drawbacks of traditional intrusion detection method based on system call was solved, which speeds up detection process and decreased false rate and error rate. It can also effectively identify error operations or users. The experiment result also proves the effectiveness and efficiency of the method.

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CHIU, CHUANG-CHIEN, TONG-HONG LIN, and BEN-YI LIAU. "USING CORRELATION COEFFICIENT IN ECG WAVEFORM FOR ARRHYTHMIA DETECTION." Biomedical Engineering: Applications, Basis and Communications 17, no. 03 (2005): 147–52. http://dx.doi.org/10.4015/s1016237205000238.

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Arrhythmia is one kind of diseases that gives rise to the death and possibly forms the immedicable danger. The most common cardiac arrhythmia is the ventricular premature beat. The main purpose of this study is to develop an efficient arrhythmia detection algorithm based on the morphology characteristics of arrhythmias using correlation coefficient in ECG signal. Subjects for experiments included normal subjects, patients with atrial premature contraction (APC), and patients with ventricular premature contraction (PVC). So and Chan's algorithm was used to find the locations of QRS complexes. W

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Li, Xue Yi, Xian Yan Chen, Fen Xiao, Na Liu, and Qing Huo Liu. "A New Rapid Detection of the Temperature Coefficient System." Applied Mechanics and Materials 742 (March 2015): 212–15. http://dx.doi.org/10.4028/www.scientific.net/amm.742.212.

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The temperature coefficient of the microwave dielectric ceramic materials is one of the important dielectric property parameters. A new method, which can detect the temperature coefficient of microwave dielectric ceramic material, is presented in this article. The test method and software buildup of the system are also introduced. The new system has the advantage in obtaining fast, reliable and high accuracy measurement performance.

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Wei Wang, Jing Dong, and Tieniu Tan. "Exploring DCT Coefficient Quantization Effects for Local Tampering Detection." IEEE Transactions on Information Forensics and Security 9, no. 10 (2014): 1653–66. http://dx.doi.org/10.1109/tifs.2014.2345479.

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Poupinet, L., and G. Jarry. "Heterodyne detection for measuring extinction coefficient in mammalian tissue." Journal of Optics 24, no. 6 (1993): 279–85. http://dx.doi.org/10.1088/0150-536x/24/6/005.

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Zhou, Wen, and Shuaiqin Zhao. "Community detection based on gravitational coefficient in collaboration network." Modern Physics Letters B 34, no. 14 (2020): 2050143. http://dx.doi.org/10.1142/s0217984920501432.

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One important characteristic of complex networks is community structure. How to effectively divide the potential community structure of complex networks has been the focus of scholars because communities may have very different properties than the network. A community is usually defined as a collection of nodes with similar attributes. Generally, nodes in the same community are relatively densely connected to each other, compared with nodes from different communities. From the perspective of clustering, nodes in the same community can be considered as having higher similarities. Therefore, usi

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Rubežić, Vesna, Igor Djurović, and Ervin Sejdić. "Average wavelet coefficient-based detection of chaos in oscillatory circuits." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 1 (2017): 188–201. http://dx.doi.org/10.1108/compel-05-2016-0198.

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Purpose The purpose of this paper is to propose a new algorithm for detection of chaos in oscillatory circuits. The algorithm is based on the wavelet transform. Design/methodology/approach The proposed detection is developed by using a specific measure obtained by averaging wavelet coefficients. This measure exhibits various values for chaotic and periodic states. Findings The proposed algorithm is applied to signals from autonomous systems such as the Chua’s oscillatory circuit, the Lorenz chaotic system and non-autonomous systems such as the Duffing oscillator. In addition, the detection is

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Zhang, H. L., H. Zhao, Y. P. Liu, X. K. Wang, and C. Shu. "PROCESSING JUMP POINT OF LIDAR DETECTION DATA AND INVERSING THE AEROSOL EXTINCTION COEFFICIENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W9 (October 25, 2019): 227–32. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w9-227-2019.

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Abstract. For a long time, the research of the optical properties of atmospheric aerosols has aroused a wide concern in the field of atmospheric and environmental. Many scholars commonly use the Klett method to invert the lidar return signal of Mie scattering. However, there are always some negative values in the detection data of lidar, which have no actual meaning，and which are jump points. The jump points are also called wild value points and abnormal points. The jump points are refered to the detecting points that are significantly different from the surrounding detection points, and which

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Yuan, Ru Wang, and Xiu Ming Jiang. "Research on On-Line Detection Technology for Yarn Evenness." Advanced Materials Research 301-303 (July 2011): 60–66. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.60.

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This paper compares capacitive and photoelectric method for measuring yarn evenness, and presents a new yarn unevenness on-line measurement system to detecting accurately yarn appearance diameter. By means of researching coefficient of diameter variation and mass variation, the relation model of variation coefficient is established, and the experimental data shows excellent correlation between coefficient of diameter variation and coefficient of mass variation and approximate linear relationship. The laser on-line measurement system of yarn evenness can accurately measure yarn diameter and cal

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Кузьменко, Василий, Vasiliy Kuzmenko, Валерий Янчуковский, and Valery Yanchukovsky. "Distribution of temperature coefficient density for muons in the atmosphere." Solar-Terrestrial Physics 3, no. 4 (2017): 93–102. http://dx.doi.org/10.12737/stp-34201710.

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To date, several dozens of new muon detectors have been built. When studying cosmic-ray intensity variations with these detectors, located deep in the atmosphere, it is necessary to calculate all character-istics, including the distribution of temperature coeffi-cient density for muons in the atmosphere, taking into account their specific geometry. For this purpose, we calculate the density of temperature coefficients of muon intensity in the atmosphere at various zenith angles of detection at sea level and at various depths underground for different absorption ranges of primary protons and pi

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Wang, Kui Yang, Jin Hua Tang, Guo Qing Li, and Chuan Yi Yuan. "Real-Time Detection of Adhesion Coefficient between Tire and Road." Applied Mechanics and Materials 249-250 (December 2012): 109–12. http://dx.doi.org/10.4028/www.scientific.net/amm.249-250.109.

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Adhesion coefficient between tire and road is one of important factors which influence vehicle safety performance. On the basis of theoretical analysis, the detection method of adhesion coefficient based on brake-by-wire is put forward. Brake force is estimated according to pedal position sensor, vehicle braking deceleration is detected through MMA6260Q acceleration sensor. Motion state of tire is distinguished according to brake force and road braking force, vertical load of tire is received in view of formula on vehicle load transfer. Adhesion coefficient used for sliding area is got and tak

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Sharma, Abhishek, and Tarun Gulati. "Change Detection from Remotely Sensed Images Based on Stationary Wavelet Transform." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 6 (2017): 3395. http://dx.doi.org/10.11591/ijece.v7i6.pp3395-3401.

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The major issue of concern in change detection process is the accuracy of the algorithm to recover changed and unchanged pixels. The fusion rules presented in the existing methods could not integrate the features accurately which results in more number of false alarms and speckle noise in the output image. This paper proposes an algorithm which fuses two multi-temporal images through proposed set of fusion rules in stationary wavelet transform. In the first step, the source images obtained from log ratio and mean ratio operators are decomposed into three high frequency sub-bands and one low fr

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Muflihah, Yeni Maulidah, Heny Masruroh, and Zulfikar Zulfikar. "BATCH INJECTION POTENTIOMETRY ASAM ASPARTAT, ASAM GLUTAMAT DAN ARGININ MENGGUNAKAN ELEKTRODA TUNGSTEN OKSIDA." ALCHEMY Jurnal Penelitian Kimia 10, no. 1 (2018): 1. http://dx.doi.org/10.20961/alchemy.10.1.18.1-10.

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<p>The presence of aspartic acid, glutamic acid and arginine in solution can be detected by potentiometric method using tungsten oxide electrode in a batch system. Characterization of tungsten oxide electrode used include linear range, limit of detection, sensitivity and reproducibility. Buffer type and concentration effect also studied to optimize the measurement results. Optimum conditions for detecting arginine was at pH 6.0 with a phosphate buffer concentration of 0.5 x 10<sup>-3</sup> M. Correlation coefficient was obtained for 0.9864, the detection limit of 5.24 x 10&lt

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Muflihah, Yeni Maulidah, Heny Masruroh, and Zulfikar Zulfikar. "BATCH INJECTION POTENTIOMETRY ASAM ASPARTAT, ASAM GLUTAMAT DAN ARGININ MENGGUNAKAN ELEKTRODA TUNGSTEN OKSIDA." ALCHEMY Jurnal Penelitian Kimia 10, no. 1 (2016): 1. http://dx.doi.org/10.20961/alchemy.v10i1.18.

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<p>The presence of aspartic acid, glutamic acid and arginine in solution can be detected by potentiometric method using tungsten oxide electrode in a batch system. Characterization of tungsten oxide electrode used include linear range, limit of detection, sensitivity and reproducibility. Buffer type and concentration effect also studied to optimize the measurement results. Optimum conditions for detecting arginine was at pH 6.0 with a phosphate buffer concentration of 0.5 x 10<sup>-3</sup> M. Correlation coefficient was obtained for 0.9864, the detection limit of 5.24 x 10&lt

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Yu, Yun Liang, Ye Bai, Jian Qiang Wang, and Wen Qing Li. "The Method of Logging Curves Fusion Based on Multi-Scale Wavelet Transform." Advanced Materials Research 340 (September 2011): 40–45. http://dx.doi.org/10.4028/www.scientific.net/amr.340.40.

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The mutation and form of logging curve can be represented by the variation of modulus maxima coefficients of wavelet transform within different scales exactly, then we can use wavelet multiscale edge detection theory to analyze characteristics of sequence stratigraphy boundaries in logging curves. Obtain the modulus maximum of approximation coefficient matrix and detail coefficient matrix after decompositing GR and SP curve in every scales.Compare and amend the modulus maximum of approximation coefficient matrix and detail coefficient matrix reciprocally, applicate the Mallat alternation foldo

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Colin Koeniguer, Elise, and Jean-Marie Nicolas. "Change Detection Based on the Coefficient of Variation in SAR Time-Series of Urban Areas." Remote Sensing 12, no. 13 (2020): 2089. http://dx.doi.org/10.3390/rs12132089.

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This paper discusses change detection in SAR time-series. First, several statistical properties of the coefficient of variation highlight its pertinence for change detection. Subsequently, several criteria are proposed. The coefficient of variation is suggested to detect any kind of change. Furthermore, several criteria that are based on ratios of coefficients of variations are proposed to detect long events, such as construction test sites, or point-event, such as vehicles. These detection methods are first evaluated on theoretical statistical simulations to determine the scenarios where they

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Vizilter, Y. V., A. Y. Rubis, and S. Y. Zheltov. "CHANGE DETECTION VIA SELECTIVE GUIDED CONTRASTING FILTERS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 403–10. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-403-2017.

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Change detection scheme based on guided contrasting was previously proposed. Guided contrasting filter takes two images (test and sample) as input and forms the output as filtered version of test image. Such filter preserves the similar details and smooths the non-similar details of test image with respect to sample image. Due to this the difference between test image and its filtered version (difference map) could be a basis for robust change detection. Guided contrasting is performed in two steps: at the first step some smoothing operator (SO) is applied for elimination of test image details

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Jayakumar, K., and S. Thangavel. "Vibration Analysis of Industrial Drive for Broken Bearing Detection Using Probabilistic Wavelet Neural Network." International Journal of Power Electronics and Drive Systems (IJPEDS) 5, no. 4 (2015): 541. http://dx.doi.org/10.11591/ijpeds.v5.i4.pp541-551.

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A reliable monitoring of industrial drives plays a vital role to prevent from the performance degradation of machinery. Today’s fault detection system mechanism uses wavelet transform for proper detection of faults, however it required more attention on detecting higher fault rates with lower execution time. Existence of faults on industrial drives leads to higher current flow rate and the broken bearing detected system determined the number of unhealthy bearings but need to develop a faster system with constant frequency domain. Vibration data acquisition was used in our proposed work to dete

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Lee, Jung Youn. "Crack Detection in Beam using Sensitivity Coefficient of Modal Data." Journal of manufacturing engineering & technology 22, no. 6 (2013): 950–56. http://dx.doi.org/10.7735/ksmte.2013.22.6.950.

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Pan, Guo Bing, Fang Xu, and Jiao Liao Chen. "Bleeding Detection in Wireless Capsule Endoscopy Using Color Similarity Coefficient." Applied Mechanics and Materials 195-196 (August 2012): 307–12. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.307.

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Wireless Capsule Endoscopy (WCE) generates a large number of images in one examination of a patient. It is very laborious and time-consuming to detect the WCE video, and limits the wider application of WCE. It is urgent and necessary to develop an automatic and intelligent computer aided bleeding detection technique. This paper proposes the color vector similarity coefficients to measure the color similarity, and based on which, a novel algorithm is implemented to recognize the bleeding in WCE images. The novel algorithm is implemented in RGB color space, and is featured with simple computatio

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Feng, Sanying, and Liugen Xue. "Model detection and estimation for single-index varying coefficient model." Journal of Multivariate Analysis 139 (July 2015): 227–44. http://dx.doi.org/10.1016/j.jmva.2015.03.008.

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Deng, Xiaolong, Jiayu Zhai, Tiejun Lv, and Luanyu Yin. "Efficient Vector Influence Clustering Coefficient Based Directed Community Detection Method." IEEE Access 5 (2017): 17106–16. http://dx.doi.org/10.1109/access.2017.2740962.

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Ji, Qingbin, Deyu Li, and Zhen Jin. "Divisive Algorithm Based on Node Clustering Coefficient for Community Detection." IEEE Access 8 (2020): 142337–47. http://dx.doi.org/10.1109/access.2020.3013241.

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Law, S. S., X. Y. Li, and Z. R. Lu. "Structural Damage Detection from Wavelet Coefficient Sensitivity with Model Errors." Journal of Engineering Mechanics 132, no. 10 (2006): 1077–87. http://dx.doi.org/10.1061/(asce)0733-9399(2006)132:10(1077).

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Gang Dong, N. Ray, and S. T. Acton. "Intravital leukocyte detection using the gradient inverse coefficient of variation." IEEE Transactions on Medical Imaging 24, no. 7 (2005): 910–24. http://dx.doi.org/10.1109/tmi.2005.846856.

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Lian, Shaopeng, Yuxuan Bian, Gang Zhao, Wanbiao Li, and Chunsheng Zhao. "Dual CCD detection method to retrieve aerosol extinction coefficient profile." Optics Express 27, no. 20 (2019): A1529. http://dx.doi.org/10.1364/oe.27.0a1529.

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Maurissen, Jacques P. J., and Charles V. Vorhees. "Uses of the coefficient of detection and sample size determination." Neurotoxicology and Teratology 11, no. 4 (1989): 377–79. http://dx.doi.org/10.1016/0892-0362(89)90010-x.

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Nugraheni, Murien. "Detection Coronavirus using Cased-Based Reasoning with Extended Jaccard Coefficient." IJISTECH (International Journal of Information System & Technology) 5, no. 1 (2021): 31. http://dx.doi.org/10.30645/ijistech.v5i1.112.

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Abstract:

Coronavirus Disease 2019 or known as COVID-19 is a new disease that can cause respiratory problems and pneumonia. This disease is caused by infection with Severe Acute Respiratory Syndrome Me Coronavirus 2 (SARS-CoV-2). Some of the clinical symptoms that appear vary, ranging from symptoms such as influenza, cough, cold, throat pain, muscle aches, headaches to those with serious complications such as pneumonia or sepsis. This research to build case-based reasoning for early detection of COVID-19 by looking at the characteristics of clinical symptoms seen in a person using the Extended Jaccard C

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Li, Xiaohua, and Jizhong Shen. "An Algorithm for Identifying Symmetric Variables in the Canonical Reed–Muller Algebra System." Journal of Circuits, Systems and Computers 25, no. 10 (2016): 1650126. http://dx.doi.org/10.1142/s0218126616501267.

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To simplify the process for identifying 12 types of symmetric variables in the canonical Reed–Muller (CRM) algebra system, we propose a new symmetry detection algorithm based on AND-XOR expansion. By analyzing the relationships between the coefficient matrices of sub-functions and the order coefficient subset matrices based on AND-XOR expansion around two arbitrary logical variables, the constraint conditions of the order coefficient subset matrices are revealed for 12 types of symmetric variables. Based on the proposed constraints, the algorithm is realized by judging the order characteristic

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