Subjects -> INSTRUMENTS (Total: 63 journals)
 Showing 1 - 16 of 16 Journals sorted alphabetically Annali dell'Istituto e Museo di storia della scienza di Firenze Applied Mechanics Reviews       (Followers: 27) Bulletin of Social Informatics Theory and Application       (Followers: 1) Computational Visual Media       (Followers: 4) Devices and Methods of Measurements Documenta & Instrumenta - Documenta et Instrumenta EPJ Techniques and Instrumentation European Journal of Remote Sensing       (Followers: 9) Experimental Astronomy       (Followers: 39) Flow Measurement and Instrumentation       (Followers: 18) Geoscientific Instrumentation, Methods and Data Systems       (Followers: 4) Geoscientific Instrumentation, Methods and Data Systems Discussions       (Followers: 1) IEEE Journal on Miniaturization for Air and Space Systems       (Followers: 2) IEEE Sensors Journal       (Followers: 103) IEEE Sensors Letters       (Followers: 3) IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)       (Followers: 3) Imaging & Microscopy       (Followers: 9) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Instrumentation Science & Technology       (Followers: 7) Instruments and Experimental Techniques       (Followers: 1) International Journal of Applied Mechanics       (Followers: 7) International Journal of Instrumentation Science       (Followers: 40) International Journal of Measurement Technologies and Instrumentation Engineering       (Followers: 2) International Journal of Metrology and Quality Engineering       (Followers: 4) International Journal of Remote Sensing       (Followers: 278) International Journal of Remote Sensing Applications       (Followers: 45) International Journal of Sensor Networks       (Followers: 4) International Journal of Testing       (Followers: 1) Journal of Applied Remote Sensing       (Followers: 83) Journal of Astronomical Instrumentation       (Followers: 3) Journal of Instrumentation       (Followers: 32) Journal of Instrumentation Technology & Innovations       (Followers: 2) Journal of Medical Devices       (Followers: 5) Journal of Medical Signals and Sensors       (Followers: 3) Journal of Optical Technology       (Followers: 5) Journal of Sensors and Sensor Systems       (Followers: 11) Journal of Vacuum Science & Technology B       (Followers: 3) Jurnal Informatika Upgris Measurement : Sensors       (Followers: 3) Measurement and Control       (Followers: 36) Measurement Instruments for the Social Sciences Measurement Science and Technology       (Followers: 7) Measurement Techniques       (Followers: 3) Medical Devices & Sensors Medical Instrumentation Metrology and Instruments / Метрологія та прилади Metrology and Measurement Systems       (Followers: 6) Microscopy       (Followers: 8) Modern Instrumentation       (Followers: 50) Optoelectronics, Instrumentation and Data Processing       (Followers: 4) PFG : Journal of Photogrammetry, Remote Sensing and Geoinformation Science Photogrammetric Engineering & Remote Sensing       (Followers: 29) Remote Sensing       (Followers: 55) Remote Sensing Applications : Society and Environment       (Followers: 8) Remote Sensing of Environment       (Followers: 93) Remote Sensing Science       (Followers: 24) Review of Scientific Instruments       (Followers: 22) Science of Remote Sensing Sensors and Materials       (Followers: 2) Solid State Nuclear Magnetic Resonance       (Followers: 3) Standards Transactions of the Institute of Measurement and Control       (Followers: 13) Труды СПИИРАН
Similar Journals
 Measurement Science and TechnologyJournal Prestige (SJR): 0.53 Citation Impact (citeScore): 2Number of Followers: 7      Hybrid journal (It can contain Open Access articles) ISSN (Print) 0957-0233 - ISSN (Online) 1361-6501 Published by IOP  [78 journals]
• Particle-based temperature measurement coupled with velocity measurement
• Authors: Satoshi Someya
First page: 042001
Abstract: This review article focuses on the simultaneous particle-based measurement of velocity and temperature. The thermographic PIV with phosphor particles is included in the scope. However, there are many other dye-doped particles that can be used in these methods, some of which are more suitable for measurements of liquid flow and low temperature flow. This review summarized the methods for fabrication, applications, optical properties, and limitations of temperature sensitive particles, and the extensive coverage of the field provided by this review renders it useful as a base for further experimentation. Dopant sensor molecules are also summarized in this review make it possible to fabricate functional particles that are suitable for the aims of an individual researcher. These particles are excited by a UV-laser and several kinds of them can be excited using a common green laser. Several approaches to velocity and temperature measurements, mono-color intensity-based ...
Citation: Measurement Science and Technology
PubDate: 2021-02-21T00:00:00Z
DOI: 10.1088/1361-6501/abc0b0
Issue No: Vol. 32, No. 4 (2021)

• Uncertainty assessment of the Ring of Fire concept for on-site aerodynamic
drag evaluation
• Authors: A Spoelstra; M Hirsch, A Sciacchitano F Scarano
First page: 044004
Abstract: The Ring of Fire (RoF) measurement concept to perform on-site experiments of aerodynamic drag for transiting objects is investigated with a study that identifies the main sources of uncertainty. The main contributors to the uncertainty of the drag measurement are examined for the case of a cyclist riding through the measurement domain. A sensitivity analysis is conducted that assesses how the estimated drag is affected by the choice of particle image velocimetry image processing parameters. The size of the cross-section considered in the control volume formulation is also investigated. It is found that the accuracy of the estimated drag depends on the procedure used to detect the edge of the momentum deficit region in the wake. Moreover imposing mass conservation yields the most accurate drag measurements. The drag estimation has little dependence upon the spatial resolution of the measurement as long as the interrogation window size stays within 5% to 25% of the equivale...
Citation: Measurement Science and Technology
PubDate: 2021-03-02T00:00:00Z
DOI: 10.1088/1361-6501/abb50d
Issue No: Vol. 32, No. 4 (2021)

• Improved stochastic modeling of multi-GNSS single point positioning with
• Authors: Hong Hu; Feng Zhou Shuanggen Jin
First page: 045105
Abstract: The accuracy of Global Navigation Satellite System (GNSS) observations is affected by many factors, such as different systems, frequencies, carriers and pseudoranges, all of which also vary with different situations. Therefore, it is challenging to establish an accurate stochastic model for multi-GNSS positioning in theory, particularly for the additional BeiDou-3 Global Navigation Satellite System (BDS-3). In practical applications, the real stochastic model needs to be estimated based on the characteristics of the observations themselves. We evaluated the influence of BDS-3 on the positioning results using 46 sites distributed around the world and proposed an improved stochastic model for multi-GNSS single point positioning (SPP) based on the least-squares variance component estimation (LS-VCE). The results show that when the BDS-3 observations are added, the positioning precision and accuracy are significantly improved. By using the improved LS-VCE method in GPS/BDS dual syst...
Citation: Measurement Science and Technology
PubDate: 2021-02-26T00:00:00Z
DOI: 10.1088/1361-6501/abd1fd
Issue No: Vol. 32, No. 4 (2021)

• An improved neural network method for aeromagnetic compensation
• Authors: Ping Yu; Xiao Zhao, Jian jiao, Jiwei Jia Shuai Zhou
First page: 045106
Abstract: Aeromagnetic compensation plays an important role in aeromagnetic data processing and can eliminate the magnetic interference generated by aircraft. Currently, aeromagnetic compensation algorithms are mostly based on linear regression equations, but linear regression has insufficient fitting function capabilities compared to neural networks. Williams proposed a compensation model from the perspective of a neural network, but this model has the problem of overfitting. Combining these two methods, this paper proposes a neural network compensation method with strong generalization. This method is based on regression equations and uses generalized regression neural networks (GRNNs) for neural network regression. Analysis of the probability density function that constitutes the GRNN shows that proper smoothing factors and multiple training sets can improve the generalization of the GRNN compensation model, thereby weakening the effect of overfitting.
Citation: Measurement Science and Technology
PubDate: 2021-02-26T00:00:00Z
DOI: 10.1088/1361-6501/abd1b4
Issue No: Vol. 32, No. 4 (2021)

• Sparse representations for fault signatures via hybrid regularization in
adaptive undecimated fractional spline wavelet transform domain
• Authors: Qingchun Xiong; Xin Zhang, Jiaxu Wang Zhiwen Liu
First page: 045107
Abstract: Recent studies on vibration-based machine diagnostics have highlighted the role played by the wavelet transform (WT). However, common WT-based denoising methods (e.g. wavelet thresholding and non-penalty regularization) are often challenging in attaining accurate sparse representations of fault signatures in practice due to artifacts. In this paper, a method via hybrid regularization in the adaptive undecimated fractional spline WT (AUFrSWT) domain is introduced to achieve the accurate sparse representations of fault signatures from strong noise environments. The method promotes wavelet sparsity by two aspects: wavelet basis design and wavelet coefficient processing. For the former, a new wavelet family, i.e. a fractional spline wavelet, is used, and the AUFrSWT is originally proposed to customize the optimal wavelet basis and meanwhile address the translation-invariant issue. For the latter, the wavelet coefficients are estimated by minimizing a single convex model function wit...
Citation: Measurement Science and Technology
PubDate: 2021-02-26T00:00:00Z
DOI: 10.1088/1361-6501/abd11d
Issue No: Vol. 32, No. 4 (2021)

• Non-null interferometers for irregular surface measurement with system
modeling
• Authors: Zhongming Zang; Zhaorui Xu, Shaojing Peng, Huxiang Zhang, Nan Chen, Chong Liu, Tianliang Yan Dong Liu
First page: 045205
Abstract: A design method of non-null interferometers is proposed in this paper for measuring irregular surfaces such as optical aspherics, freeform surfaces and droplet surfaces. With system modeling and raytracing, the improved reverse optimization reconstruction method is employed to correct the retrace error and obtain the accurate shape of the test part with all frequency information. To simplify the model in the raytracing program, an imaging lens images the desired interferogram at a certain plane on the detector and, therefore, only the test arm needs to be modeled. The imaging error of an interferogram, which can be reduced by the partial compensation system (PCS), is analyzed, and the design of the PCS is also demonstrated. Two cases with different optical layouts show the feasibility and the versatility of our method.
Citation: Measurement Science and Technology
PubDate: 2021-02-20T00:00:00Z
DOI: 10.1088/1361-6501/abd11f
Issue No: Vol. 32, No. 4 (2021)

• Occluded target detection of streak tube imaging lidar using image
inpainting
• Authors: Wenhao Li; Shangwei Guo, Yu Zhai, Shaokun Han, Fei Liu Zhengchao Lai
First page: 045404
Abstract: We improve the system of multi-slit streak tube imaging lidar (MS-STIL) for occluded target detection. To solve the contradiction between high range resolution and deep depth of field, a fiber-optic beam, called ‘beam shunting’, is designed. In addition, we combine the deep-learning-based image inpainting algorithm with the MS-STIL to solve the problem of ineffective imaging when the target is obscured by a large area. Finally, the results of the simulated contrast experiments show that the range resolution is increased from 0.4 m to 0.1 m, and the new system is effective in detecting occluded targets.
Citation: Measurement Science and Technology
PubDate: 2021-02-20T00:00:00Z
DOI: 10.1088/1361-6501/abd1b6
Issue No: Vol. 32, No. 4 (2021)

• Pole-piece position distance identification of cylindrical lithium-ion
battery through x-ray testing technology
• Authors: Yapeng Wu; Min Yang, Yishuai Wang, Honggang Li, ZhiGuo Gui Jing Liu
First page: 045405
Abstract: In the preparation process of cylindrical lithium-ion batteries, a rigorous manufacturing process demands that the position distances between positive and negative pole-pieces must be kept within a reasonable range of variation. Otherwise, a too small position distance may cause safety problems, such as short circuits and thermal runaway. To inspect the position distances between positive and negative pole-pieces automatically, and to decrease the risk of safety and economic losses during the subsequent use, this paper proposes a method to identify the position distance defects of a cylindrical lithium-ion battery on the base of x-ray digital radiography (DR) images. According to this method, the DR image is firstly enhanced by the GPU-accelerated homomorphic filtering algorithm to intensify its contrast and detailed information. Then through the Shi-Tomasi corner detection algorithm, corners of all the positive and negative pole-pieces are preliminarily detected in a region of ...
Citation: Measurement Science and Technology
PubDate: 2021-03-02T00:00:00Z
DOI: 10.1088/1361-6501/abbdf1
Issue No: Vol. 32, No. 4 (2021)

• Measuring how much an object has a ring-like shape
• Authors: Joviša Žunić
First page: 047002
Abstract: An image-based algorithmic tool for measuring how much an object’s shape looks like a ring is presented. The objects whose shapes have such a structure appear in nature very often, e.g. in nanotechnology, biology, medicine, industry, etc. The method proposed has several formal desirable properties, including invariance ones. In addition, the method is easy to implement and is robust (e.g. with respect to noise).
Citation: Measurement Science and Technology
PubDate: 2021-02-20T00:00:00Z
DOI: 10.1088/1361-6501/abce3a
Issue No: Vol. 32, No. 4 (2021)

• Quantum-cascade-laser-based dual-comb thermometry and speciation at high
temperatures
• Authors: Nicolas H Pinkowski; Séan J Cassady, Christopher L Strand Ronald K Hanson
First page: 035501
Abstract: This work presents a methodology for using spectroscopic models to fit absorption-spectrum measurements made by a quantum-cascade-laser-based dual-comb spectrometer (QCL-DCS) for high-temperature kinetics research. A pair of quantum-cascade frequency combs was employed to detect methane’s ##IMG## [http://ej.iop.org/images/0957-0233/32/3/035501/mstabc029ieqn1.gif] {${\nu _4}$} absorption features between 1270 and 1320 cm −1 in high-temperature shock-tube environments and extract methane mole fraction and gas temperature from the results. The methodology was first validated by comparing DCS measurements against modeled methane spectra at room temperature in a static cell, followed by assessing the fitting procedure in shock-heated mixtures of 2% methane in Ar at 1000 K. In both validation experiments, the tradeoffs between time resolution and measurement precision were explored. Measurements were achieved at a 4 µs measurement rate with 5% uncertaint...
Citation: Measurement Science and Technology
PubDate: 2021-02-25T00:00:00Z
DOI: 10.1088/1361-6501/abc029
Issue No: Vol. 32, No. 3 (2021)

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