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Автор: Grafiati
Опубліковано: 7 липня 2024
Оновлено: 7 липня 2024

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1

Wu, Zhishen, Caiqian Yang, Takatada Takahashi, and Yoshihiro Tobe. "OS09W0167 Damage detection of hybrid CFRP reinforcements by DC measurement technique." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2003.2 (2003): _OS09W0167. http://dx.doi.org/10.1299/jsmeatem.2003.2._os09w0167.

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2

Bahadur, I. N., Sandeep Kumar, and Prabhakar Agarwal. "Performance measurement of a hybrid speech enhancement technique." International Journal of Speech Technology 24, no. 3 (March 15, 2021): 665–77. http://dx.doi.org/10.1007/s10772-021-09830-2.

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3

Edabashi, Haiam, Radwa Elghadafi, Nischwethaa Rajkanth, Janvi Saurabh Mody, Weiyuan Ma, Serge Dibart, and Xiaoren Tang. "A hybrid technique for measurement of intra/extracellular proteins." PLOS ONE 18, no. 5 (May 4, 2023): e0282948. http://dx.doi.org/10.1371/journal.pone.0282948.

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ELISA or Western blot is known as a basic technique to be used for measurement of intracellular proteins, but in some cases, they cannot overcome problems such as normalization between samples or extraneous costs for required commercial kits. In order to address this problem, we developed a rapid and effective method (a hybrid of Western blot and ELISA). We use this new hybrid method to detect and normalize trace protein changes in gene expression intracellularly at a lower cost.
4

M.A.A, Jalil. "Partial Discharge Signal Measurement based on Stand-alone and Hybrid Detection Technique for Power Transformer." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 1302–12. http://dx.doi.org/10.5373/jardcs/v12sp7/20202230.

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5

Busschots, Cedric, Johan Pattyn, Dries Peumans, Yves Rolain, and Gerd Vandersteen. "Forced Oscillation Technique Measurement Apparatus Using Fan-Speaker Hybrid." IEEE Transactions on Instrumentation and Measurement 71 (2022): 1–9. http://dx.doi.org/10.1109/tim.2021.3139664.

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6

Shahbazi, M. "Hybrid 3D Dynamic Measurement by Particle Swarm Optimization and Photogrammetric Tracking." Measurement Science Review 13, no. 6 (December 1, 2013): 298–304. http://dx.doi.org/10.2478/msr-2013-0044.

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Abstract High-accuracy motion modeling in three dimensions via digital images has been increasingly the matter of interest in photogrammetry and computer vision communities. Although accurate sub-pixel image registration techniques are the key elements of measurement, they still demand enhanced intelligence, autonomy, and robustness. In this paper, a new correlationbased technique of stereovision is proposed to perform inter-frame feature tracking, inter-camera image registration, and to measure the 3D state vector of features simultaneously. The developed algorithm is founded on population-based intelligence (particle swarm optimization) and photogrammetric modeling. The proposed technique is mainly aimed at reducing the computational complexities of non-linear optimization methods of digital image registration for deformation measurement, and passing through 2D image correlation to 3D motion modeling. The preliminary results have illustrated the feasibility of this technique to detect and measure sub-millimeter deformations by performing accurate, sub-pixel image registration.
7

Janssens, Vincent, Christophe Block, Guy Van Assche, Bruno Van Mele, and Peter Van Puyvelde. "RheoDSC: design and validation of a new hybrid measurement technique." Journal of Thermal Analysis and Calorimetry 98, no. 3 (November 1, 2009): 675–81. http://dx.doi.org/10.1007/s10973-009-0518-1.

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8

Kiran P, Swathi A, Sindhu M, Manikanta Y, and Mahesh Babu K. "Effective heart disease prediction using hybrid machine learning technique." South Asian Journal of Engineering and Technology 12, no. 3 (July 11, 2022): 123–30. http://dx.doi.org/10.26524/sajet.2022.12.49.

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Heart disease is one of the most significant causes of mortality in the world today. Prediction of cardiovascular.Disease is a critical challenge in the area of clinical dataanalysis In this project, we propose a novel method that aims at finding significant features by applying machine learning techniques (EML) resulting in improving the accuracy in the prediction of Heart disease.HRFLM (Hybrid Random Forest Linear Model) Technique proved to be quite accurate in the prediction of heart disease. by using entropy feature selection technique and removing unnecessary features, different classification techniques such that Gaussian Naïve Bayes, Support Vector Machine, Hybrid Random Forest with Linear Model, and Extension extreme Machine Learning Technique are used on heart disease dataset for better prediction. Different performance measurement factors such as accuracy precision, recall, sensitivity, specificity, and F1-score are considered to determine the performance of the classification techniques. Our project compares the performances of the classification algorithms in the prediction of heart disease. It tries to find out the best classifier for the detection of heart diseases.
9

Hua, Zilong, Heng Ban, Marat Khafizov, Robert Schley, Rory Kennedy, and David H. Hurley. "Spatially localized measurement of thermal conductivity using a hybrid photothermal technique." Journal of Applied Physics 111, no. 10 (May 15, 2012): 103505. http://dx.doi.org/10.1063/1.4716474.

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10

Chen, Zengshun, Yemeng Xu, Hailin Huang, and Kam Tim Tse. "Wind Tunnel Measurement Systems for Unsteady Aerodynamic Forces on Bluff Bodies: Review and New Perspective." Sensors 20, no. 16 (August 17, 2020): 4633. http://dx.doi.org/10.3390/s20164633.

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Wind tunnel tests have become one of the most effective ways to evaluate aerodynamics and aeroelasticity in bluff bodies. This paper has firstly overviewed the development of conventional wind tunnel test techniques, including high frequency base balance technique, static synchronous multi-pressure sensing system test technique and aeroelastic test, and summarized their advantages and shortcomings. Subsequently, two advanced test approaches, a forced vibration test technique and hybrid aeroelastic- force balance wind tunnel test technique have been comprehensively reviewed. Then the characteristics and calculation procedure of the conventional and advanced wind tunnel test techniques were discussed and summarized. The results indicated that the conventional wind tunnel test techniques ignored the effect of structural oscillation on the measured aerodynamics as the test model is rigid. A forced vibration test can include that effect. Unfortunately, a test model in a forced vibration test cannot respond like a structure in the real world; it only includes the effect of structural oscillation on the surrounding flow and cannot consider the feedback from the surrounding flow to the oscillation test model. A hybrid aeroelastic-pressure/force balance test technique that can observe unsteady aerodynamics of a test model during its aeroelastic oscillation completely takes the effect of structural oscillation into consideration and is, therefore, effective in evaluation of aerodynamics and aeroelasticity in bluff bodies. This paper has not only advanced our understanding for aerodynamics and aeroelasticity in bluff bodies, but also provided a new perspective for advanced wind tunnel test techniques that can be used for fundamental studies and engineering applications.
11

Kianoush, S., E. Goldoni, A. Savioli, and P. Gamba. "Low-Complexity Localization and Tracking in Hybrid Wireless Sensor Networks." ISRN Sensor Networks 2012 (August 23, 2012): 1–7. http://dx.doi.org/10.5402/2012/430169.

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Localization in Wireless Sensor Networks (WSNs) is an important research topic: readings come from sensors scattered in the environment, and most of applications assume that the exact position of the sensors is known. Due to power restrictions, WSN nodes are not usually equipped with a global positioning system—hence, many techniques have been developed in order to estimate the position of nodes according to some measurements over the radio channel. In this paper, we propose a new technique to track a moving target by combining distance measurements obtained from both narrowband IEEE 802.15.4 and Ultrawideband (UWB) radios, and then exploiting a novel speed-based algorithm for bounding the error. This process is applied to a real dataset collected during a measurement campaign, and its performance is compared against a Kalman filter. Results show that our algorithm is able to track target path with good accuracy and low computational impact.
12

Abdullah, Noryusliza, and Rosziati Ibrahim. "Similarity Measurement in the Hybrid of Semantic Web Search Engine." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 8, no. 3 (June 25, 2013): 913–21. http://dx.doi.org/10.24297/ijct.v8i3.3403.

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Semantic Web approach with the assistance of ontology is widely used to give more reliable application in retrieving information and knowledge. It is capable to discover the World Wide Web (WWW) that is presented in natural-language text. Based on previous research, incorporating categorization with ontology concept has proven to give better results. However, performing hybrid of the search engine using another technique that is user profiling has a promising potency in enhancing the searching process. Utilizing searching time and giving relevant results are the contributions of this research. The proposed hybrid techniques integrate ontologies, categorization and user profiling concept. In user profiling, similarity measure is adopted in making comparison between two different ontologies. WordNet and UTHM Onto are the independent ontologies used in this process. The preliminary experimental results have given interesting results in terms of data arrangement and time usage.
13

Radhoush, Sepideh, Trevor Vannoy, Kaveen Liyanage, Bradley M. Whitaker, and Hashem Nehrir. "Distribution System State Estimation Using Hybrid Traditional and Advanced Measurements for Grid Modernization." Applied Sciences 13, no. 12 (June 8, 2023): 6938. http://dx.doi.org/10.3390/app13126938.

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Distribution System State Estimation (DSSE) techniques have been introduced to monitor and control Active Distribution Networks (ADNs). DSSE calculations are commonly performed using both conventional measurements and pseudo-measurements. Conventional measurements are typically asynchronous and have low update rates, thus leading to inaccurate DSSE results for dynamically changing ADNs. Because of this, smart measurement devices, which are synchronous at high frame rates, have recently been introduced to enhance the monitoring and control of ADNs in modern power networks. However, replacing all traditional measurement devices with smart measurements is not feasible over a short time. Thus, an essential part of the grid modernization process is to use both traditional and advanced measurements to improve DSSE results. In this paper, a new method is proposed to hybridize traditional and advanced measurements using an online machine learning model. In this work, we assume that an ADN has been monitored using traditional measurements and the Weighted Least Square (WLS) method to obtain DSSE results, and the voltage magnitude and phase angle at each bus are considered as state vectors. After a period of time, a network is modified by the installation of advanced measurement devices, such as Phasor Measurement Units (PMUs), to facilitate ADN monitoring and control with a desired performance. Our work proposes a method for taking advantage of all available measurements to improve DSSE results. First, a machine-learning-based regression model was trained from DSSE results obtained using only the traditional measurements available before the installation of smart measurement devices. After smart measurement devices were added to the network, the model predicted traditional measurements when those measurements were not available to enable synchronization between the traditional and smart sensors, despite their different refresh rates. We show that the regression model had improved performance under the condition that it continued to be updated regularly as more data were collected from the measurement devices. In this way, the training model became robust and improved the DSSE performance, even in the presence of more Distributed Generations (DGs). The results of the proposed method were compared to traditional measurements incorporated into the DSSE calculation using a sample-and-hold technique. We present the DSSE results in terms of Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) values for all approaches. The effectiveness of the proposed method was validated using two case studies in the presence of DGs: one using a modified IEEE 33-bus distribution system that considered loads and DGs based on a Monte Carlo simulation and the other using a modified IEEE 69-bus system that considered actual data for loads and DGs. The DSSE results illustrate that the proposed method is better than the sample-and-hold method.
14

Hoepfner, Marvin, Torben Becker, Daniel Huelsbusch, and Frank Walther. "Characterization of Hybrid Joining Techniques for FRP/Steel-Structures under Combined Mechanical and Thermal Loading." Key Engineering Materials 742 (July 2017): 358–65. http://dx.doi.org/10.4028/www.scientific.net/kem.742.358.

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In order to optimize the design of vibrating screening machines and realize significant weight reductions, the use of hybrid structures is gaining importance. In this context, the joining of FRP and steel and their interactions due to different material properties were investigated. Therefore, quasi-static tests with combined mechanical and thermal loads were carried out. To realize the simultaneous application of physical measurement techniques, e.g. optical and acoustic measurements, and thermal loads, short-wave infrared emitter technique was used instead of thermal chambers. Thus, the mechanical characteristics and acoustic emissions could be determined and assessed. The results show different structural mechanisms of hybrid joining at room and elevated temperatures. The characteristics of failure modes, shear stresses, strains and acoustic emissions could be correlated to determine the damage developments and mechanisms.
15

Y. Dhayaneswaran. "Analysis and Measurement of Supraharmonics in Real Textile Industries Using Hybrid Technique." Journal of Electrical Systems 20, no. 6s (May 2, 2024): 2866–88. http://dx.doi.org/10.52783/jes.3293.

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In this paper proposes a hybrid ADKF-FHO method for analysis and study of supraharmonics in textile industry. The proposed hybrid approach is the combined performance of anisotropic diffusion Kuwahara filtering (ADKF)and Fire Hawk Optimizer (FHO). Commonly it is named as ADKF-FHO technique. The major objective of the proposed approach is the main aim is to analysis of Supraharmonicsin real textile industries. The Variable frequency drive is predominantly used in Textile industry for varying the speed to control the roller speed for obtaining quality of yarn from the machine with more productivity and high energy saving. The ADLF is utilized to ensure the supraharmonics in textile industry and the FHO is used to optimizing the switching states of the embedded power converter. In this paper, standards and its limits are discussed; simulation model of the drive is done to ensure the Supraharmonics. Real time testing of the motor with drive for ensuring the Supraharmonics at testing laboratory and real time Textile industry in different geographical location is discussed in detail. By then, the proposed model is implemented in MATLAB/Simulink working stage and the execution is calculated with the existing methods. The proposed method shows better results in all approaches like RFA, CSA and PSO.
16

Li, Zhengwei, and Gongsheng Huang. "A hybrid technique to improve measurement accuracy and reliability in AC systems." HVAC&R Research 20, no. 5 (July 2014): 581–91. http://dx.doi.org/10.1080/10789669.2014.920223.

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17

Draudviliene, L., H. Ait Aider, O. Tumsys, and L. Mazeika. "The Lamb waves phase velocity dispersion evaluation using an hybrid measurement technique." Composite Structures 184 (January 2018): 1156–64. http://dx.doi.org/10.1016/j.compstruct.2017.10.060.

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18

Burns, R. A., T. W. Fahringer, Jr., and P. M. Danehy. "Hybrid Pulse-Burst / Cross-Correlation DGV For High-Speed Flow Measurements At 100 KHz." Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 20 (July 11, 2022): 1–20. http://dx.doi.org/10.55037/lxlaser.20th.26.

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Hybrid pulse-burst Doppler global velocimetry (PB-DGV)/pulse-burst, cross-correlation DGV (PB-CC-DGV) was demonstrated for the first time in the NASA Langley 4-foot Supersonic Unitary Plan Wind Tunnel, allowing simultaneous acquisition of mean and instantaneous high-repetition-rate velocity fields. The technique was used to make planar velocity measurements across an oblique shockwave generated by a large splitter plate set at a -2° angle of attack in a Mach 2.4 flow. Sequences of >100 consecutive instantaneous velocity images were obtained at a rate of 100 kHz. Velocity fields from both aspects of the hybrid measurement indicated errors less than 1-percent of anticipated velocities. Likewise, all assessments of measurement precision were approximately 1.6-percent of the local velocities. Additional demonstrations in different flowfields including a subsonic axi-symmetric jet and a supersonic Mars reentry vehicle model further illustrate the utility of the new hybrid method.
19

Ali, Ekbal Hussain, Ahmed Hameed Reja, and Layla H. Abood. "Design hybrid filter technique for mixed noise reduction from synthetic aperture radar imagery." Bulletin of Electrical Engineering and Informatics 11, no. 3 (June 1, 2022): 1325–31. http://dx.doi.org/10.11591/eei.v11i3.3708.

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For military and civilian applications, synthetic aperture radar (SAR) imaging is an essential instrument for obtaining images of the Earth's surface. Speckle noise, a form of noise that is multiplicative, generated by conflicting echoes returned from each pixel, has a significant impact on the SAR picture. On SAR pictures, a hybrid filter for mixed noise reduction is used to remove the mixed noises that are present in the data during capture and transmission. Specifically, speckle noise and salt and pepper noises from SAR images. Both are being worked on at the same time to minimize mixed noise in SAR pictures without revealing edges or other features. This study proposes a technique that combines a hybrid filter derived from a statistics filters with nonlinear functions (SFNF). When comparing to mean, median as no adaptive filters, and frost filter, a lee filter, and fuzzy filters as adaptive filters, this hybrid filter produces good results. MATLAB was used to carry out the simulation. To illustrate the filtering technique's performance, quantitative measurements like signal to noise ratio (SNR) procedure, the mean square error (MSE) method, and edge measurement (β) mechanization are used.
20

Ni, J., and S. M. Wu. "An On-Line Measurement Technique for Machine Volumetric Error Compensation." Journal of Engineering for Industry 115, no. 1 (February 1, 1993): 85–92. http://dx.doi.org/10.1115/1.2901643.

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A hybrid on-line and off-line measurement technique is developed for machine volumetric error compensation based on a multiple-degree-of-freedom laser optical system. When implemented on a 3-axis machine up to 15 geometric error components can be measured simultaneously on-line and the remaining 6 components need to be calibrated off-line. Since the on-line measurement systems use different metrology bases, a modified volumetric error model is derived for a milling machine by considering the measurement features of the multiple-degree-of-freedom system. Through experimental tests, it was found that the discrepancy between the identified errors and the actual errors was less than 4 μm out of a maximum range of 20 μm.
21

Abdalkarim, Haval Darwesh, and Halgurd Sarhang Maghdid. "Hybrid Onboard Smartphone Sensors Measurements to Improve Heading Estimation for Indoors Positioning Solutions." Kurdistan Journal of Applied Research 4, no. 2 (October 20, 2019): 50–60. http://dx.doi.org/10.24017/science.2019.2.5.

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In the last decade, there is a significant progression and huge demand in using technology; specifically, those technologies are embedded in smartphones (SP). Examples of these technologies are embedding various sensors for multi-purposes. Positioning sensors (Accelerometer, Gyroscope, and Magnetometer) are one of the significant technologies. Besides this, indoor positioning services on smartphones are the main advantage of these sensors. There are many indoor positioning applications, for instance; billing, shopping, security and safety, indoor navigation, entertainment applications, and other point-of-interest (POI) applications. Nevertheless, precise position information through current positioning techniques is the main issue of these applications. The pedestrian dead reckoning (PDR) technique is one of the techniques in which the integration of onboard sensors is used for locating smartphones. Estimated distance, heading, and typical speed can be measured to determine the estimated position of the smartphone via using the PDR technique. The PDR technique offers a low positioning accuracy due to existing accumulated errors of the embedded sensors. To solve this issue, this article proposes a hybrid multi-sensors measurement to reduce the existing sensors drifts and errors and to increase estimated heading accuracy of the smartphone. Further, the sensors’ measurements with the previously estimated position are fused by using KALMAN Filter to determine the current location of the smartphone in each step of walking with better angular displacement accuracy. Proposed algorithm depends on increasing estimated angular displacement of the smartphone using combination of the integrated sensors’ measurements. The achieved positioning accuracy through the proposed approach and based on trial experiments is around 2 meters, which is equivalent to 10% improvement in comparison with state of the art.
22

Hermawati, Fajar Astuti, Handayani Tjandrasa, and Nanik Suciati. "Hybrid Speckle Noise Reduction Method for Abdominal Circumference Segmentation of Fetal Ultrasound Images." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (June 1, 2018): 1747. http://dx.doi.org/10.11591/ijece.v8i3.pp1747-1757.

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Fetal biometric size such as abdominal circumference (AC) is used to predict fetal weight or gestational age in ultrasound images. The automatic biometric measurement can improve efficiency in the ultrasonography examination workflow. The unclear boundaries of the abdomen image and the speckle noise presence are the challenges for the automated AC measurement techniques. The main problem to improve the accuracy of the automatic AC segmentation is how to remove noise while retaining the boundary features of objects. In this paper, we proposed a hybrid ultrasound image denoising framework which was a combination of spatial-based filtering method and multiresolution based method. In this technique, an ultrasound image was decomposed into subbands using wavelet transform. A thresholding technique and the anisotropic diffusion method were applied to the detail subbands, at the same time the bilateral filtering modified the approximation subband. The proposed denoising approach had the best performance in the edge preservation level and could improve the accuracy of the abdominal circumference segmentation.
23

Novakov, Stevan, Chung-Horng Lung, Ioannis Lambadaris, and Nabil Seddigh. "A Hybrid Technique Using PCA and Wavelets in Network Traffic Anomaly Detection." International Journal of Mobile Computing and Multimedia Communications 6, no. 1 (January 2014): 17–53. http://dx.doi.org/10.4018/ijmcmc.2014010102.

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Research into network anomaly detection has become crucial as a result of a significant increase in the number of computer attacks. Many approaches in network anomaly detection have been reported in the literature, but data or solutions typically are not freely available. Recently, a labeled network traffic flow dataset, Kyoto2006+, has been created and is publicly available. Most existing approaches using Kyoto2006+ for network anomaly detection apply various clustering techniques. This paper leverages existing well known statistical analysis and spectral analysis techniques for network anomaly detection. The first popular approach is a statistical analysis technique called Principal Component Analysis (PCA). PCA describes data in a new dimension to unlock otherwise hidden characteristics. The other well known spectral analysis technique is Haar Wavelet filtering analysis. It measures the amount and magnitude of abrupt changes in data. Both approaches have strengths and limitations. In response, this paper proposes a Hybrid PCA–Haar Wavelet Analysis. The hybrid approach first applies PCA to describe the data and then Haar Wavelet filtering for analysis. Based on prototyping and measurement, an investigation of the Hybrid PCA–Haar Wavelet Analysis technique is performed using the Kyoto2006+ dataset. The authors consider a number of parameters and present experimental results to demonstrate the effectiveness of the hybrid approach as compared to the two algorithms individually.
24

Scalise, Kathleen. "Hybrid Measurement Models for Technology-Enhanced Assessments Through mIRT-bayes." International Journal of Statistics and Probability 6, no. 3 (May 14, 2017): 168. http://dx.doi.org/10.5539/ijsp.v6n3p168.

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Technology-enhanced assessments (TEAs) are rapidly emerging in educational measurement. In contexts such as simulation and gaming, a common challenge is handling complex streams of information, for which new statistical innovations are needed that can provide high quality proficiency estimates for the psychometrics of complex TEAs. Often in educational assessments with formal measurement models, latent variable models such as item response theory (IRT) are used to generate proficiency estimates from evidence elicited. Such robust techniques have become a foundation of educational assessment, when models fit. Another less common approach to compile evidence is through Bayesian networks, which represent a set of random variables and their conditional dependencies via a directed acyclic graph. Network approaches can be much more flexibly designed for complex assessment tasks and are often preferred by task developers, for technology-enhanced settings. However, the Bayesian network-based statistical models often are difficult to validate and to gauge the stability and accuracy, since the models make assumptions regarding conditional dependencies that are difficult to test. Here a new measurement model family, mIRT-bayes, is proposed to gain advantages of both latent variable models and network techniques combined through hybridization. Specifically, the technique described here embeds small Bayesian networks within an overarching multidimensional IRT model (mIRT), preserving the flexibility for task design while retaining the robust statistical properties of latent variable methods. Applied to simulation-based data from Harvard's Virtual Performance Assessments (VPA), the results of the new model show acceptable fit for the overarching mIRT model, along with reduction of the standard error of measurement through the embedded Bayesian networks, compared to use of mIRT alone. Overall for respondents, a finer grain-size of inference is made possible without additiona testing time or scoring resources, showing potentially promise for this family of new hybrid models.
25

Geslot, Benoit, Adrien Gruel, Stéphane Bréaud, Pierre Leconte, and Patrick Blaise. "Innovative hybrid pile oscillator technique in the Minerve reactor: open loop vs. closed loop." EPJ Web of Conferences 170 (2018): 04009. http://dx.doi.org/10.1051/epjconf/201817004009.

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Pile oscillator techniques are powerful methods to measure small reactivity worth of isotopes of interest for nuclear data improvement. This kind of experiments has long been implemented in the Mineve experimental reactor, operated by CEA Cadarache. A hybrid technique, mixing reactivity worth estimation and measurement of small changes around test samples is presented here. It was made possible after the development of high sensitivity miniature fission chambers introduced next to the irradiation channel. A test campaign, called MAESTRO-SL, took place in 2015. Its objective was to assess the feasibility of the hybrid method and investigate the possibility to separate mixed neutron effects, such as fission/capture or scattering/capture. Experimental results are presented and discussed in this paper, which focus on comparing two measurements setups, one using a power control system (closed loop) and another one where the power is free to drift (open loop). First, it is demonstrated that open loop is equivalent to closed loop. Uncertainty management and methods reproducibility are discussed. Second, results show that measuring the flux depression around oscillated samples provides valuable information regarding partial neutron cross sections. The technique is found to be very sensitive to the capture cross section at the expense of scattering, making it very useful to measure small capture effects of highly scattering samples.
26

El Ouazzani, Zakariae, An Braeken, and Hanan El Bakkali. "Proximity Measurement for Hierarchical Categorical Attributes in Big Data." Security and Communication Networks 2021 (July 5, 2021): 1–17. http://dx.doi.org/10.1155/2021/6612923.

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Nearly most of the organizations store massive amounts of data in large databases for research, statistics, and mining purposes. In most cases, much of the accumulated data contain sensitive information belonging to individuals which may breach privacy. Hence, ensuring privacy in big data is considered a very important issue. The concept of privacy aims to protect sensitive information from various attacks that may violate the identity of individuals. Anonymization techniques are considered the best way to ensure privacy in big data. Various works have been already realized, taking into account horizontal clustering. The L-diversity technique is one of those techniques dealing with sensitive numerical and categorical attributes. However, the majority of anonymization techniques using L-diversity principle for hierarchical data cannot resist the similarity attack and therefore cannot ensure privacy carefully. In order to prevent the similarity attack while preserving data utility, a hybrid technique dealing with categorical attributes is proposed in this paper. Furthermore, we highlighted all the steps of our proposed algorithm with detailed comments. Moreover, the algorithm is implemented and evaluated according to a well-known information loss-based criterion which is Normalized Certainty Penalty (NCP). The obtained results show a good balance between privacy and data utility.
27

Dyatlov, Mikhail, Philippe Delaye, Laurent Vivien, and Nicolas Dubreuil. "Bi-directional spectral broadening measurements for accurate characterisation of nonlinear hybrid integrated waveguides." EPJ Web of Conferences 266 (2022): 01007. http://dx.doi.org/10.1051/epjconf/202226601007.

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The emerging interest in integrated optical technologies raises the need for precise characterisation techniques for waveguides presenting nonlinearities. Here we propose a non-interferometric measurement to accurately characterise the Kerr contribution in hybrid waveguides and illustrate its performances using SiN waveguides with a GSS chalcogenide top-layer. The sensitivity of our technique in terms of nonlinear phase reaches 10 mrad and its accuracy makes possible to extract the nonlinear contributions from the top-layer.
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Li, Meng, Da-Wei Li, and Yi-Tao Long. "A hybrid method combining an electrochemical technique and fluorescence measurement for the highly selective and sensitive detection of Cd2+." Analytical Methods 7, no. 2 (2015): 472–77. http://dx.doi.org/10.1039/c4ay02475c.

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29

Ermilova, Elena, Matthias Weise, and Andreas Hertwig. "Hybrid optical measurement technique for detection of defects in epitaxially grown 4H-SiC layers." EPJ Web of Conferences 266 (2022): 10001. http://dx.doi.org/10.1051/epjconf/202226610001.

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Recent developments in power electronics require the use of new wide bandgap compound semiconductor. We demonstrate the use of the ellipsometry and white light interference microscopy to detect defects in epitaxially grown SiC layers on SiC substrates. Such hybrid optical metrology methods can be used to better understand the mechanism of the development of the defects as well as their effects on the material´s optoelectronic properties.
30

Pathak, Abhinav, and Ratnesh Gupta. "A Hybrid Technique for Analysis of Low-Frequency Oscillation in Power System." Pertanika Journal of Science and Technology 30, no. 3 (April 20, 2022): 2033–52. http://dx.doi.org/10.47836/pjst.30.3.15.

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Estimating the low-frequency oscillation in an interconnected power system is the most important requirement to keep the power system in a stable operating condition. This research work deals with a hybrid robust and accurate approach using a combination of Estimation of signal parameters via rotational invariant techniques (ESPRIT) and Prony algorithm to extract the low-frequency oscillatory modes present in the power system. The observation inspires the hybrid method that the true modes of the signal are present in any signal processing technique (for example, Prony algorithm) along with other fictitious modes regardless of the order of the power system. Moreover, this research obtained true modes by calculating Euclidean distance and applying the threshold value concept. The proposed technique is tested with different noise conditions and varying sampling rates of Phasor Measurement Unit (PMU) to check the proposed hybrid technique’s robustness compared to Prony and the multiple ESPRIT method. Finally, the proposed method is applied to the real signal obtained from the Western Electricity Coordinating Council (WECC) network, and it estimates accurate and precise parameters compared to other methods. The accuracy for estimation of frequency and attenuation factor is calculated for the three-mode synthetic signal at a noise level of 10dB by the hybrid algorithm, multiple ESPRIT, and Prony algorithm, which shows that hybrid algorithm has minimum percentage error. Thus, the proposed hybrid algorithm accurately estimates the parameters of low-frequency oscillation as compared to other existing methods without involving any fictitious modes.
31

Zhang, You Lin. "Classification of Botnets and Botnet Defense Techniques." Applied Mechanics and Materials 373-375 (August 2013): 1665–69. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.1665.

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As an effective platform for networking attacking, the botnet brings the most serious threats. In this paper, botnets are categorized into three classes based on network structure. They are centralized botnet, distributed (P2P) bornet and hybrid botnet. This paper divides botnet defense techniques into three fields: detection, measurement and restraint. It analyzes each field in detail, and discusses that which defense technique is suitable for what kind of botnet.
32

Xiao, Jie, and Bohdan Kulakowski. "Hybrid Genetic Algorithm: A Robust Parameter Estimation Technique and its Application to Heavy Duty Vehicles." Journal of Dynamic Systems, Measurement, and Control 128, no. 3 (September 12, 2005): 523–31. http://dx.doi.org/10.1115/1.2229255.

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In this paper, hybrid parameter estimation technique is developed to improve computational efficiency and accuracy of pure GA-based estimation. The proposed strategy integrates a GA and the Maximum Likelihood Estimation. Choices of input signals and estimation criterion are discussed involving an extensive sensitivity analysis. Experiment-related aspects, such as the imperfection of data acquisition, are also considered. Computer simulation results reveal that the hybrid parameter estimation method proposed in this study is very efficient and clearly outperforms conventional techniques and pure GAs in accuracy, efficiency, as well as robustness with respect to the initial guesses and measurement uncertainty. Primary experimental validation is also implemented, including the interpretation of field test data, as well as analysis of errors associated with aspects of experiment design.
33

Renner, T., D. Lah, T. Trick, and J. Kriegseis. "Determination Of Flow Velocities Using Fiber-Optic Temperature Measurements." Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 20 (July 11, 2022): 1–11. http://dx.doi.org/10.55037/lxlaser.20th.160.

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A novel flow measuring technique is introduced to measure under harsh circumstances in environments with dirt, high pressures and elevated temperatures as in boreholes within the earth's crust. A glass fiber embedded in a cable with heating wires measures the temperature within the heated cable with distributed temperature sensing (DTS). Similar to Hot Wire Anemometry, the velocity dependence of convective heat transfer is exploited to measure the velocity of the cable as a cylinder in crossflow. A borehole-mimicking test rig and a realistic prototype of a borehole probe were built and the flow along the borehole axis was investigated. The expected Nusselt Reynolds characteristic of a cylinder in crossflow has been measured which proves the concept of this novel measurement technique. Challenges arise with the insufficient spatial resolution of DTS measurements and in the heat transfer modeling because the temperature profile of the cables cross-section must be taken into account. More detailed investigations and developments are planned to elevate this measurement technique from the current proof-of-concept stage to a reliable flow measurement technique. As a first step, the DTS technique will be extended the application of fiber Bragg grating (FBG) temperature measurements at specific points along the glass fiber. Subsequently a straight segment of a new hybrid cable will be placed in a water channel perpendicular to the flow direction. The Flow will be precisely specified using Particle Image Velocimetry and multiple temperature sensors in the channel and on the cable's sheath will deliver the information for enhanced heat transfer modelling.
34

Huang, Chi-Fang, and Yen-Lin Chao. "A Hybrid De-Embedding Technique of Eye Diagram Measurement for High-Speed Digital Interconnections." IEEE Transactions on Components, Packaging and Manufacturing Technology 4, no. 5 (May 2014): 892–95. http://dx.doi.org/10.1109/tcpmt.2014.2309799.

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35

Wu, Zhishen, Caiqian Yang, Takatada Takahashi, and Yoshihiro Tobe. "OS9(4)-15(OS09W0167) Damage Detection of Hybrid CFRP Reinforcements by DC Measurement Technique." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2003 (2003): 249. http://dx.doi.org/10.1299/jsmeatem.2003.249.

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36

Singh, Keshaan, and Angela Dudley. "Digital toolbox for vector field characterization." Nanophotonics 11, no. 4 (December 7, 2021): 753–61. http://dx.doi.org/10.1515/nanoph-2021-0484.

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Abstract Vectorial structured light fields have displayed properties advantageous in many disciplines ranging from communications, microscopy and metrology to laser cutting and characterizing quantum channels. The generation of these fields has been made convenient through the implementation of nanophotonic metasurfaces amongst other static and digital techniques. Consequently, the detection and characterisation of these fields is of equal importance. Most existing techniques involve using separate polarization optics and correlation filters to perform the projective measurements – or are only able to perform such measurements on a subset of possible vector states. We present a compact, fully automated measurement technique based on a digital micro-mirror device (DMD), which facilitates the complete, local and global, characterisation of the spatial mode and polarization degrees-of-freedom (DOFs) for arbitrary vectorial fields. We demonstrate our approach through the identification of relevant hybrid-order Poincaré spheres, the reconstruction of state vectors on these spheres, as well as the recovery of the non-separability and states-of-polarization for a variety of vector beams.
37

Shibata, Takayuki, Kazuhiro Maruno, Moeto Nagai, Takahiro Kawashima, Takashi Mineta, and Eiji Makino. "Fabrication and Characterization of AFM Probe Integrated with High-Aspect-Ratio Diamond Tip." Key Engineering Materials 523-524 (November 2012): 569–74. http://dx.doi.org/10.4028/www.scientific.net/kem.523-524.569.

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In order to realize a smart nano-machining and measurement system based on atomic force microscope (AFM), we have been developing diamond probes with a high-aspect-ratio, sharpened diamond tip. In this paper, we described the most important micromachining techniques for the fabrication of the diamond probes. The high-aspect-ratio diamond microstructures were successfully fabricated by employing our proposed two-step reactive ion etching (RIE) processes. A novel bonding technique of diamond to Si at wafer level was also developed by using an inorganic-organic hybrid sol-gel film (MeSiO3/2) as an adhesive layer to prepare a diamond/SOI wafer as the starting material. Moreover, we demonstrated the applicability of a fabricated diamond probe not only to AFM measurements but also to a tool for nanomachining.
38

Wang, Yin Bo, Sheng Meng, Qian Dai, Zhang Yan, and Qing Rong Feng. "The Study of SiC Substrate MgB2 thick Films Growing along C Axis." Advanced Materials Research 567 (September 2012): 153–57. http://dx.doi.org/10.4028/www.scientific.net/amr.567.153.

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We have fabricated MgB2 thick films on SiC substrates growing along c axis by using hybrid physical–chemical vapor deposition (HPCVD) technique. The thickness was 8μm. Electric measurement showed that the Tc (onset) was 41.4K, and the transition width was 0.5K, the residual resistance ratio (RRR) was near 7. Magnetic measurement showed that the critical current density was 1.7×106A/cm2 at 5K in a self field.
39

He, Zhen-Zong, Jun-Kui Mao, and Xing-Si Han. "Determination of Aerosol Size Distribution from Angular Light-Scattering Signals by Using a SPSO-DE Hybrid Algorithm." Computation 6, no. 3 (August 29, 2018): 47. http://dx.doi.org/10.3390/computation6030047.

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The comparison of the angular light-scattering method (ALSM) and the spectral extinction method (SEM) in solving the inverse problem of aerosol size distribution (ASD) are studied. The inverse problem is solved by a SPSO-DE hybrid algorithm, which is based on the stochastic particle swarm optimization (SPSO) algorithm and differential evolution (DE) algorithm. To improve the retrieval accuracy, the sensitivity analysis of measurement signals to characteristic parameters in ASDs is studied; and the corresponding optimal measurement angle selection region for ALSM and optimal measurement wavelength selection region for SEM are proposed, respectively. Results show that more satisfactory convergence properties can be obtained by using the SPSO-DE hybrid algorithm. Moreover, short measurement wavelengths and forward measurement angles are beneficial to obtaining more accurate results. Then, common monomodal and bimodal ASDs are estimated under different random measurement errors by using ALSM and SEM, respectively. Numerical tests show that retrieval results by using ALSM show better convergence accuracy and robustness than those by using SEM, which is attributed to the distribution of the objective function value. As a whole, considering the convergence properties and the independence on prior optical information, the ALSM combined with SPSO-DE hybrid algorithm provides a more effective and reliable technique to obtain the ASDs.
40

Chen, Terry Yuan-Fang, and Ren-Shiang Lu. "OS2-2 Development of a Hybrid Infrared Image Correlation Technique to deformation measurement of Composites(Digital image correlation and its applications (1),OS2 Digital image correlation and its applications,MEASUREMENT METHODS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 21. http://dx.doi.org/10.1299/jsmeatem.2015.14.21.

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41

SHUAIB-BABATA, Yusuf Lanre, Israel Victor AYINDE, Yusuf Olanrewaju BUSARI, Mubarak Oloduowo AMEEN, Raheem Abolore YAHYA, Ibrahim Owolabi AMBALI, Ishaaq Na’allah AREMU, Sikiru Ottan ABDULRAMAN, Kabiru Suleiman AJAO, and Abdulateef Alabi GARUBA. "Corrosion Inhibition Efficacy of Hybrid Organic Extracts from Prosopisafricana and Citrulluslanatus on Mild Steel in Acidic Medium." Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science 46, no. 1 (March 15, 2023): 21–32. http://dx.doi.org/10.35219/mms.2023.1.04.

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Each of Prosopis Africana pod extract (PAPE) and Citrulluslanatus (WMPE) performed quite well as green inhibitors in the electrochemical corrosion in acidic solution at ambient temperature in previous research. However, the hybridization of these compounds was varied with the concentration ratio in this study to optimize the efficiency of the green inhibitor in a hydrochloric acid medium using mild steel. The extraction process of the inhibitor samples was carried out with the Soxhlet apparatus using n-hexane as the solvent. Furthermore, the potential inhibition efficiency was monitored using various corrosion measurement techniques at room temperature. The inhibitive response of the extracts could be attributed to the adsorption of the extracts’ components on mild steel surface by physisorption mechanism according to the Langmuir adsorption isotherm model. The results revealed that inhibition efficiency (IE%) depends on the concentration of the extracts. The peak IE% values were obtained with a hybrid ratio of 3:1 (PAPE: WMPE) for gravimetric technique. The Tafel polarization and gasometrical measurement technique is 96.7%, 98.5% and 83.1% respectively at the concentration of 1.0 g/L, which are above the peak IE% for PAPE (93.7%, 80.96% and 77.8%) and WMPE (92.7%, 80.5% and 75.6%).
42

de Prado, Esther, M. Carmen Martínez-Tomás, Christiane Deparis, Vicente Muñoz-Sanjosé, and Jesús Zúñiga-Pérez. "Hybrid multiple diffraction in semipolar wurtzite materials: (\bf 01\overline{1}2)-oriented ZnMgO/ZnO heterostructures as an illustration." Journal of Applied Crystallography 50, no. 4 (July 26, 2017): 1165–73. http://dx.doi.org/10.1107/s1600576717008524.

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X-ray diffraction has been widely used to characterize the structural properties (strain and structural quality) of semiconductor heterostructures. This work employs hybrid multiple diffraction to analyzer-oriented Zn1−xMgxO layers grown by molecular beam epitaxy on ZnO substrates. In such a low-symmetry material system, additional features appear in symmetric reflection scans, which are described as arising from hybrid multiple diffraction. First, the Bragg conditions necessary for these high-order processes to occur are introduced and applied to explain all the observed satellite reflections, identify the planes that contribute and computea priorithe angles at which they are observed. Furthermore, thanks to this hybrid multiple-diffraction technique, it is possible to determine the layer lattice parameters (in-plane and out-of-plane) in an easy and accurate way by using one single measurement in standard symmetric conditions. The achieved precision is at least as high as that obtained from the combination of symmetric and asymmetric reciprocal space map measurements.
43

Doh, Deog Hee, Chang Jae Lee, and Tae Sil Baek. "Measurement and Analysis on the Mixing Flows in a Tank with a Bottom Agitator using a Hybrid Volume Measurement Technique." Journal of the Korean Society of Visualization 10, no. 3 (December 31, 2012): 42–47. http://dx.doi.org/10.5407/jksv.2012.10.3.042.

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44

Zhang, Anqi, Alessandro Montanaro, Luigi Allocca, Jeffrey Naber, and Seong-Young Lee. "Measurement of Diesel Spray Formation and Combustion upon Different Nozzle Geometry using Hybrid Imaging Technique." SAE International Journal of Engines 7, no. 2 (April 1, 2014): 1034–43. http://dx.doi.org/10.4271/2014-01-1410.

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45

Draudviliene, Lina, Asta Meskuotiene, Olgirdas Tumsys, Liudas Mazeika, and Vykintas Samaitis. "Metrological Performance of Hybrid Measurement Technique Applied for the Lamb Waves Phase Velocity Dispersion Evaluation." IEEE Access 8 (2020): 45985–95. http://dx.doi.org/10.1109/access.2020.2974586.

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46

Perman, William H., Lawrence L. Creswell, Stephan G. Wyers, Michael J. Moulton, and Michael K. Pasque. "Hybrid dante and phase-contrast imaging technique for measurement of three- dimensional myocardial wall motion." Journal of Magnetic Resonance Imaging 5, no. 1 (January 1995): 101–6. http://dx.doi.org/10.1002/jmri.1880050118.

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47

Delgado, JMPQ, NMM Ramos, and VP de Freitas. "Application of different transient sorption methods to evaluate moisture diffusion coefficients of building materials on the hygroscopic range." Journal of Building Physics 35, no. 3 (September 13, 2011): 251–66. http://dx.doi.org/10.1177/1744259111418331.

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Typically, moisture transport coefficients are determined either by stationary measurements, as standard cup set-up and modified cup method, or by dynamic measurements, as the means of the type [Formula: see text] rule in the initial phase of adsorption processes, logarithmic procedure in the end stage of adsorption processes, the half-time method, the moment method, and the hybrid 1-term method. The aim of this work was to test the usability of the five dynamic calculation methods to define the moisture diffusivity in the hygroscopic range of different building materials. The results obtained were compared in order to evaluate the discrepancies between the different calculation techniques. Advantages in time saving using each experimental technique were compared with the feasibility of each process. Two commonly used building materials are considered in the study, gypsum board and gypsum plaster, for adsorptive measurement of the moisture diffusivity at three different temperatures in three different relative humidity ranges.
48

Shafi, Muhammad Ammar, Mohd Saifullah Rusiman, Kavikumar Jacob, Nor Shamsidah Amir Hamzah, Norziha Che Him, and Nazeera Mohamad. "Prediction in a Hybrid of Fuzzy Linear Regression with Symmetric Parameter Model and Fuzzy C-Means Method Using Simulation Data." International Journal of Engineering & Technology 7, no. 4.30 (November 30, 2018): 419. http://dx.doi.org/10.14419/ijet.v7i4.30.22351.

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The objective of fuzzy linear regression model (FLRM) to predict the dependent variable and independent variables in vague phenomenon. In this study, several models such as fuzzy linear regression model (FLRM), fuzzy linear regression with symmetric parameter (FLWSP) and a hybrid model have been applied to be evaluated by 1000 rows in 1 simulation data. Moreover, the hybrid method was applied between fuzzy linear regression with symmetric parameter (FLRWSP) and fuzzy c-mean (FCM) method to get the effective prediction in a new model and best result in this study. To improve the accuracy of evaluating and predicting, this study employ two measurement error of cross validation statistical technique which are mean square error (MSE) and root mean square error (RMSE). The simulation result suggests that comparison among models using two measurement errors should be to determine the best results. Finally, this study notes that the new hybrid model of FLRWSP and FCM is verified to be a good model with the least value of MSE and RMSE measurement errors.
49

Allen, N. R., D. A. Ennis, S. L. Allen, C. M. Samuell, D. M. Kriete, C. A. Johnson, G. J. Hartwell, and D. A. Maurer. "Implementation of coherence imaging spectroscopy for ion flow measurements in the Compact Toroidal Hybrid experiment." Journal of Instrumentation 18, no. 06 (June 1, 2023): P06030. http://dx.doi.org/10.1088/1748-0221/18/06/p06030.

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Abstract A new coherence imaging spectroscopy (CIS) system has been characterized and validated for measurements of impurity ion velocity in the Compact Toroidal Hybrid (CTH) experiment. CIS is an interferometric technique providing very high spatial resolution of line-integrated ion flows; however, these measurements are highly sensitive to environmental factors such as temperature fluctuations. A compact interferometer design housed in a thermally regulated environment yields CIS measurement variations due to thermal fluctuations of 0.25 km/s. CIS measurements of He+ flows in the outer regions of CTH are benchmarked using two optical grating spectrometers. The deviation between the measurements is typically less than 2 km/s for multiple lines of sight which is well within the uncertainties of the diagnostics. Additional experiments demonstrate a moderate robustness of ion flows in the outer region of CTH to changing the vacuum transform, direction of the magnetic field, and plasma current. In contrast, regions of complete flow reversal are observed when a bias probe is inserted into the plasma edge.
50

Castellina, Antonella. "Auger Highlights." Acta Polytechnica CTU Proceedings 1, no. 1 (December 4, 2014): 132–38. http://dx.doi.org/10.14311/app.2014.01.0132.

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The Pierre Auger Observatory has been designed to investigate the origin and nature of the ultra high energy cosmic rays using a hybrid detection technique. A review of selected results is presented, with the emphasis given to the measurement of energy spectrum, mass composition and arrival directions.

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