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Relevant bibliographies by topics / Electrochemical measurement; Adaptive algorithms

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Academic literature on the topic 'Electrochemical measurement; Adaptive algorithms'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Electrochemical measurement; Adaptive algorithms"

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González, Francisco, David Greiner, Vicente Mena, Ricardo M. Souto, Juan J. Santana, and Juan J. Aznárez. "Fitting procedure based on Differential Evolution to evaluate impedance parameters of metal–coating systems." Engineering Computations 36, no. 9 (2019): 2960–82. http://dx.doi.org/10.1108/ec-11-2018-0513.

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Purpose Impedance data obtained by electrochemical impedance spectroscopy (EIS) are fitted to a relevant electrical equivalent circuit to evaluate parameters directly related to the resistance and the durability of metal–coating systems. The purpose of this study is to present a novel and more efficient computational strategy for the modelling of EIS measurements using the Differential Evolution paradigm. Design/methodology/approach An alternative method to non-linear regression algorithms for the analysis of measured data in terms of equivalent circuit parameters is provided by evolutionary a

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Alhasa, Kemal, Mohd Mohd Nadzir, Popoola Olalekan, et al. "Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System." Sensors 18, no. 12 (2018): 4380. http://dx.doi.org/10.3390/s18124380.

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Conventional air quality monitoring systems, such as gas analysers, are commonly used in many developed and developing countries to monitor air quality. However, these techniques have high costs associated with both installation and maintenance. One possible solution to complement these techniques is the application of low-cost air quality sensors (LAQSs), which have the potential to give higher spatial and temporal data of gas pollutants with high precision and accuracy. In this paper, we present DiracSense, a custom-made LAQS that monitors the gas pollutants ozone (O3), nitrogen dioxide (NO2

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Miñambres, J. J., and M. de la Sen. "Fast Adaptive Control Algorithms in pH Measurement." IFAC Proceedings Volumes 19, no. 15 (1986): 313–16. http://dx.doi.org/10.1016/s1474-6670(17)59440-9.

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Kübler, Jonas M., Andrew Arrasmith, Lukasz Cincio, and Patrick J. Coles. "An Adaptive Optimizer for Measurement-Frugal Variational Algorithms." Quantum 4 (May 11, 2020): 263. http://dx.doi.org/10.22331/q-2020-05-11-263.

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Variational hybrid quantum-classical algorithms (VHQCAs) have the potential to be useful in the era of near-term quantum computing. However, recently there has been concern regarding the number of measurements needed for convergence of VHQCAs. Here, we address this concern by investigating the classical optimizer in VHQCAs. We introduce a novel optimizer called individual Coupled Adaptive Number of Shots (iCANS). This adaptive optimizer frugally selects the number of measurements (i.e., number of shots) both for a given iteration and for a given partial derivative in a stochastic gradient desc

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Crompvoets, Elise A. V., Anton A. Béguin, and Klaas Sijtsma. "Adaptive Pairwise Comparison for Educational Measurement." Journal of Educational and Behavioral Statistics 45, no. 3 (2019): 316–38. http://dx.doi.org/10.3102/1076998619890589.

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Pairwise comparison is becoming increasingly popular as a holistic measurement method in education. Unfortunately, many comparisons are required for reliable measurement. To reduce the number of required comparisons, we developed an adaptive selection algorithm (ASA) that selects the most informative comparisons while taking the uncertainty of the object parameters into account. The results of the simulation study showed that, given the number of comparisons, the ASA resulted in smaller standard errors of object parameter estimates than a random selection algorithm that served as a benchmark.

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Yang, Haiyan, Hongqiang Liu, Zhongliang Zhou, and An Xu. "A practical adaptive nonlinear tracking algorithm with range rate measurement." International Journal of Distributed Sensor Networks 14, no. 5 (2018): 155014771877686. http://dx.doi.org/10.1177/1550147718776863.

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It is difficult to answer the problem whether the range rate measurement should be adopted to track a target in a tracking scenario. A practical adaptive nonlinear tracking algorithm with the range rate measurement is proposed, which avoids this problem and achieves good accuracy of target state estimation. First, three popular nonlinear filtering algorithms only with the position measurement are surveyed. Second, three popular nonlinear filtering algorithms with the position and range rate measurements are surveyed. Then, a novel tracking algorithm with range rate measurement is proposed base

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Roscoe, A. J., I. F. Abdulhadi, and G. M. Burt. "P and M Class Phasor Measurement Unit Algorithms Using Adaptive Cascaded Filters." IEEE Transactions on Power Delivery 28, no. 3 (2013): 1447–59. http://dx.doi.org/10.1109/tpwrd.2013.2238256.

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Münch, K., W. Vilser, and I. Senff. "Adaptive Algorithmen zur automatischen Messung retinaler Gefäßdurchmesser - Adaptive Algorithms for the Automatic Measurement of Retinal Vessel Diameters." Biomedizinische Technik/Biomedical Engineering 40, no. 11 (1995): 322–25. http://dx.doi.org/10.1515/bmte.1995.40.11.322.

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Alekseev, V. V., E. M. Antonyuk, and I. E. Varshavskiy. "Algorithmic Support of Adaptive Automatic Control Systems with Data Compression." Journal of the Russian Universities. Radioelectronics 23, no. 6 (2020): 84–99. http://dx.doi.org/10.32603/1993-8985-2020-23-6-84-99.

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Introduction. The exponential growth of measurement information caused by ongoing complication of technical and production facilities necessitates the development of improved or brand new information and measurement systems, including those performing adaptive automatic control functions. Automatic criteria-based selection and reduction of measurement information continuously supplied by multi-parameter sources characterizing the objects under study require algorithms ensuring reconfiguration of automatic control systems during operation. In comparison with automatic control systems based on t

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Chabaud, Ulysse, Damian Markham, and Adel Sohbi. "Quantum machine learning with adaptive linear optics." Quantum 5 (July 5, 2021): 496. http://dx.doi.org/10.22331/q-2021-07-05-496.

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We study supervised learning algorithms in which a quantum device is used to perform a computational subroutine – either for prediction via probability estimation, or to compute a kernel via estimation of quantum states overlap. We design implementations of these quantum subroutines using Boson Sampling architectures in linear optics, supplemented by adaptive measurements. We then challenge these quantum algorithms by deriving classical simulation algorithms for the tasks of output probability estimation and overlap estimation. We obtain different classical simulability regimes for these two c

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Dissertations / Theses on the topic "Electrochemical measurement; Adaptive algorithms"

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Harriman, K. "Applications of adaptive finite element methods to problems in electrochemistry." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365374.

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Marwah, Kunal. "Development of Motion Artifact Rejection Algorithms for Ambulatory Heart Rate and Arterial Oxygen Measurement By A Wearable Pulse Oximeter." Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-theses/1320.

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Over the past decade, there has been an increasing interest in the real-time monitoring of ambulatory vital signs such as heart rate (HR) and arterial blood oxygen saturation (SpO2) using wearable medical sensors during field operations. These measurements can convey valuable information regarding the state of health and allow first responders and front-line medics to better monitor and prioritize medical intervention of military combatants, firefighters, miners and mountaineers in case of medical emergencies. However, the primary challenge encountered when using these sensors in a non-clinica

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Lindstedt, Gustaf. "Simulation & Analysis of Peer-to-Peer Network Quality for Measurement Scheduling : Online algorithms, Application for Network QoS Monitoring." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240959.

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With the growing dependency on Internet connectivity in our daily lives, monitoring connection quality to ensure a good quality of service has become increasingly important. The CheesePi project aims to build a platform for monitoring connection quality from the home user’s perspective. And with peer to peer technologies becoming more prevalent the need for quality of service monitoring between peers become more important. This thesis analyses the problem of scheduling connection quality measurements between peers in a network. A method is presented for scheduling measurements which make use o

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Herrmann, Kai, Hannes Voigt, and Wolfgang Lehner. "Cinderella - Adaptive Online Partitioning of Irregularly Structured Data." IEEE, 2014. https://tud.qucosa.de/id/qucosa%3A75273.

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In an increasing number of use cases, databases face the challenge of managing irregularly structured data. Irregularly structured data is characterized by a quickly evolving variety of entities without a common set of attributes. These entities do not show enough regularity to be captured in a traditional database schema. A common solution is to centralize the diverse entities in a universal table. Usually, this leads to a very sparse table. Although today's techniques allow efficient storage of sparse universal tables, query efficiency is still a problem. Queries that reference only a subset

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Bonnassieux, Etienne. "Statistical Analysis of the Radio-Interferometric Measurement Equation, a derived adaptive weighting scheme, and applications to LOFAR-VLBI observation of the Extended Groth Strip." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEO013/document.

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Grâce à une analyse statistique de l’équation de la Mesure des Interféromètres Radio, un schéma de pondération adaptatif est dérivé,basé sur la qualité de calibration des données d’un instrument interférométrique. Ce schéma est utilisé sur une observation d’un champ extragalactique, l’ExtendedGroth Strip, observation qui contient une source radio-vive (3C295) dans son champ de vue. Cette source est résolue avec LOFAR-VLBI ; un modèle de source est créé afin de calibrer les stations LOFAR internationales. Cela permettra d’imager le champ a une résolution comparable à celle du Hubble Space Teles

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Bin-Melha, Mohammed S. "Design and implementation of band rejected antennas using adaptive surface meshing and genetic algorithms methods. Simulation and measurement of microstrip antennas with the ability of harmonic rejection for wireless and mobile applications including the antenna design optimisation using genetic algorithms." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/6358.

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With the advances in wireless communication systems, antennas with different shapes and design have achieved great demand and are desirable for many uses such as personal communication systems, and other applications involving wireless communication. This has resulted in different shapes and types of antenna design in order to achieve different antenna characteristic. One attractive approach to the design of antennas is to suppress or attenuate harmonic contents due to the non-linear operation of the Radio Frequency (RF) front end. The objectives of this work were to investigate, design and i

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Binmelha, Mohammed Saeed. "Design and implementation of band rejected antennas using adaptive surface meshing and genetic algorithms methods : simulation and measurement of microstrip antennas with the ability of harmonic rejection for wireless and mobile applications including the antenna design optimisation using genetic algorithms." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/6358.

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With the advances in wireless communication systems, antennas with different shapes and design have achieved great demand and are desirable for many uses such as personal communication systems, and other applications involving wireless communication. This has resulted in different shapes and types of antenna design in order to achieve different antenna characteristic. One attractive approach to the design of antennas is to suppress or attenuate harmonic contents due to the non-linear operation of the Radio Frequency (RF) front end. The objectives of this work were to investigate, design and im

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Zhou, Dawei. "Development of active integrated antennas and optimization for harmonic suppression antennas : simulation and measurement of active antennas for amplifiers and oscillators and numerical solution on design and optimization of active patch antennas for harmonic suppression with adaptive meshing using genetic algorithms." Thesis, University of Bradford, 2007. http://hdl.handle.net/10454/4763.

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The objectives of this research work are to investigate, design and implement active integrated antennas comprising active devices connected directly to the patch radiators, for various applications in high efficiency RF front-ends, integrated oscillator antennas, design and optimization of harmonic suppression antennas using a genetic algorithm (GA). A computer-aided design approach to obtain a class F operation to optimizing the optimal fundamental load impedance and designing the input matching circuits for an active integrated antenna of the transmitting type is proposed and a case study o

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Frazao, Rodrigo José Albuquerque. "PMU based situation awareness for smart distribution grids." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT061/document.

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Une infrastructure robuste de surveillance basée sur des mesures numériques classiques est souvent utilisée pour permettre une gestion efficace du réseau de distribution électrique, néanmoins les mesures de phaseurs synchronisés, également connu comme synchrophaseurs, sont particulièrement efficaces pour améliorer la capacité de gestion et la surveillance de ces réseaux. Le synchrophaseur est un phaseur numériquement calculé à partir des échantillons de données en utilisant une source temporelle absolue pour un horodatage extrêmement précis des mesures effectuées.De ce fait, les applications d

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Chen, Chien-Nan, and 陳建男. "Measurement of feedback paths and adaptive noise cancellation algorithms in hearing aids." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/08919883377002327163.

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碩士<br>國立交通大學<br>電子工程系所<br>98<br>In this thesis, we focus on the measurement of feedback path of hearing aids and the simulation of adaptive filter algorithm for noise cancellation. First of all we put an ITC hearing aid embodying only a receiver and a microphone in the artificial ear in the anechoic chamber. We use the pulse generator to inject the sweep signal to the receiver and receive the sound from the microphone to get the frequency response. Then make use of Matlab to transform it into impulse response. Our measurement result may supply to the realization of the feedback cancellation a

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Book chapters on the topic "Electrochemical measurement; Adaptive algorithms"

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Marusak, Piotr M. "Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear Models." In Adaptive and Natural Computing Algorithms. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37213-1_32.

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Rebizant, Waldemar, Janusz Szafran, and Andrzej Wiszniewski. "Characteristics of Measurement of Criterion Values and Adaptive Algorithms." In Signals and Communication Technology. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-802-7_9.

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Miñambres, J. J., and M. de la Sen. "FAST ADAPTIVE CONTROL ALGORITHMS IN pH MEASUREMENT." In Dynamics and Control of Chemical Reactors and Distillation Columns. Elsevier, 1988. http://dx.doi.org/10.1016/b978-0-08-034917-6.50053-2.

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Elbalaoui, Abderrahmane, Mohamed Fakir, Taifi khaddouj, and Abdelkarim MERBOUHA. "Automatic Detection of Blood Vessel in Retinal Images Using Vesselness Enhancement Filter and Adaptive Thresholding." In Ophthalmology. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5195-9.ch002.

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Retinal blood vessels detection and measurement of morphological attributes, such as length, width, sinuosity and corners are very much important for the diagnosis and treatment of different ocular diseases including diabetic retinopathy (DR), glaucoma, and hypertension. This paper presents a integration method for blood vessels detection in fundus retinal images. The proposed method consists of two main steps. The first step is pre-processing of retinal image to improve the retinal images by evaluation of several image enhancement techniques. The second step is vessels detection, the vesselness filter is usually used to enhance the blood vessels. The enhancement filter is designed from the adaptive thresholding of the output of the vesselness filter for vessels detection. The algorithms performance is compared and analyzed on three publicly available databases (DRIVE, STARE and CHASE_DB) of retinal images using a number of measures, which include accuracy, sensitivity, and specificity.

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Psaltis, Anthony, and Constantinos Mourlas. "A Real Time Attachment Free, Psycho Physiological Stress and Heart Rate Measurement System." In Advanced Instrument Engineering. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4165-5.ch006.

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The challenges in the development of a system performing real time detection of physiological parameters are fundamentally aversive because of the incommodities caused by the wires and sensing attachments onto the user, making the measurement sessions uncomfortable. Another factor is that the sensing accessories influence the plausibility of the measurements. In this paper, the authors introduce a system based on a device that can acquire physiological signals from a computer user with no prerequisites, postural, kinetic, or other constraints in the environment of normal usage of the home computer for the detection of their psychosomatic state and optimally their affect and emotional responses. The authors also discuss issues that could otherwise compromise the credibility of the results. Redundancy and special adaptive and corrective algorithms have been developed to improve reliability and achieve acceptable standards of quality. Measurements include skin conductance (SC) and heart rate (HR) detected by sensors positioned on the vertical sides of a computer mouse. The system is intended for interactive educational environments, during assessment, e-learning, psychosomatic user profiling, mobile and web based interfaces, and for Human Computer Interaction (HCI) platforms.

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Aymen, Flah, Habib Kraiem, and Sbita Lassaâd. "Electrical Motor Parameters Estimator Improved by a Computational Algorithm." In Handbook of Research on Advanced Intelligent Control Engineering and Automation. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7248-2.ch021.

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In this chapter, two computational algorithms are proposed and applied on an estimation algorithm, in order to improve the global performance of the estimation phase. The proposed system is studied based on the Model Reference Adaptive System (MRAS). The importance of the estimation phase in a large applications number is basically observed on the applications applied on electrical motors, where a lot number of parameters are measured with real measurement equipments, as Tesla Meter, speed shaft, and others. The idea is based generally on the software applications, where it is possible to guarantee the desired estimation phase using a software algorithm. In this chapter the MRAS technique is proposed as the software algorithm, for replacing the measurement materials for online estimate the overall characteristic PMSM parameters. Our approach aims to ameliorate the MRAS technique with intelligent optimization methods called BFO and PSO.

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Hasegawa, Go, and Masayuki Murata. "TCP Symbiosis." In Biologically Inspired Networking and Sensing. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-092-7.ch006.

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In this chapter, we introduce a robust, self-adaptive and scalable congestion control mechanism for TCP. We change the window size of a TCP connection according to the information of the physical and available bandwidths of the end-to-end network path. The bandwidth information is obtained by an inline network measurement technique. We also borrowed algorithms from biophysics to update the window size: the logistic growth model and the Lotka-Volterra competition model. The greatest advantage of using these models is that we can refer previous discussions and results for various characteristics of the mathematical models, including scalability, convergence, fairness and stability in these models. Through mathematical analysis and simulation experiments, we compare the proposed mechanism with traditional TCP Reno, HighSpeed TCP, Scalable TCP and FAST TCP, and exhibit its effectiveness in terms of scalability to the network bandwidth and delay, convergence time, fairness among competing connections, and stability.

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Conference papers on the topic "Electrochemical measurement; Adaptive algorithms"

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Oleg, A. Stepanov, and V. Motorin Andrei. "Adaptive Estimation Algorithms and their Applications to Measurement Data Processing." In 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2019. http://dx.doi.org/10.1109/eiconrus.2019.8657129.

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Peng, Tao, and Satyandra K. Gupta. "Algorithms for Generating Adaptive Projection Patterns for 3-D Shape Measurement." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35452.

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Point cloud acquisition using digital fringe projection (PCCDFP) is a non-contact technique for acquiring dense point clouds to represent the 3-D shapes of objects. Most existing PCCDFP systems use projection patterns consisting of straight fringes with fixed fringe pitches. In certain situations, such patterns do not give the best results. In our earlier work, we have shown that in some situations, patterns that use curved fringes with spatial pitch variation can significantly improve the process of constructing point clouds. This paper describes algorithms for automatically generating adapti

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Voss, A., and A. Bartos. "D5.2 Use of Adaptive Learning Algorithms in Linear Position Measurement Applications." In SMSI 2021. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2021. http://dx.doi.org/10.5162/smsi2021/d5.2.

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Yongxuan Ma and Yanmei Wang. "Research on the adaptive interference cancellation algorithms for mobile communication systems." In 2012 International Conference on Measurement, Information and Control (MIC). IEEE, 2012. http://dx.doi.org/10.1109/mic.2012.6273251.

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Northcutt, Robert, Jacob Maddox, and Vishnu-Baba Sundaresan. "Electrode Fabrication for Scanning Electrochemical Microscopy and Shear Force Imaging." In ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/smasis2016-9155.

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The development of novel characterization techniques is critical for understanding the fundamentals of material systems. Bioinspired systems are regularly implemented but poorly defined through quantitative measurement. In an effort to specify the coupling between multiple domains seen in biologically inspired systems, high resolution measurement systems capable of simultaneously measuring various phenomena such as electrical, chemical, mechanical, or optical signals is required. Scanning electrochemical microscopy (SECM) and shear-force (SF) imaging are nanoscale measurement techniques which

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Cao, Z., H. X. Wang, W. Yin, and Y. Yan. "The 2D model for a highly adaptive EIT sensor and image reconstruction algorithms." In 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007. IEEE, 2007. http://dx.doi.org/10.1109/imtc.2007.379121.

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Tsai, Pang-Wei, Nian Xia, Chun-Yu Hsu, Shu-Wei Lee, Chu-Sing Yang, and Te-Lung Liu. "Design and Implementation of an Adaptive Flow Measurement for SDN-based Cellular Core Networks." In 2018 15th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN). IEEE, 2018. http://dx.doi.org/10.1109/i-span.2018.00037.

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Mota, Joao, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, and Miguel Rodrigues. "Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178588.

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Roscoe, Andrew J., Ibrahim F. Abdulhadi, and Graeme M. Burt. "P-Class Phasor Measurement Unit algorithms using adaptive filtering to enhance accuracy at off-nominal frequencies." In 2011 IEEE Conference on Smart Measurements for Future Grids (SMFG). IEEE, 2011. http://dx.doi.org/10.1109/smfg.2011.6125761.

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Yang, Ping, Wei Yang, Yuan Liu, et al. "19-element sensorless adaptive optical system based on modified hill-climbing and genetic algorithms." In 3rd International Symposium on Advanced Optical Manufacturing and testing technologies: Optical test and Measurement Technology and Equipment, edited by Junhua Pan, James C. Wyant, and Hexin Wang. SPIE, 2007. http://dx.doi.org/10.1117/12.782681.

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