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Journal articles on the topic 'An instrument of estimation'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Hall, Alastair R., Glenn D. Rudebusch, and David W. Wilcox. "Judging Instrument Relevance in Instrumental Variables Estimation." International Economic Review 37, no. 2 (1996): 283. http://dx.doi.org/10.2307/2527324.

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2

Murray, Michael P. "Avoiding Invalid Instruments and Coping with Weak Instruments." Journal of Economic Perspectives 20, no. 4 (2006): 111–32. http://dx.doi.org/10.1257/jep.20.4.111.

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Archimedes said, “Give me the place to stand, and a lever long enough, and I will move the Earth.” Economists have their own powerful lever: the instrumental variable estimator. The instrumental variable estimator can avoid the bias that ordinary least squares suffers when an explanatory variable in a regression is correlated with the regression's disturbance term. But, like Archimedes' lever, instrumental variable estimation requires both a valid instrument on which to stand and an instrument that isn't too short (or “too weak”). This paper briefly reviews instrumental variable estimation, di

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3

Bowden, P. K., S. W. Touyz, P. J. Rodriguez, R. Hensley, and P. J. V. Beumont. "Distorting Patient or Distorting Instrument?" British Journal of Psychiatry 155, no. 2 (1989): 196–201. http://dx.doi.org/10.1192/bjp.155.2.196.

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Three current techniques for estimating body size (Image Marking, Visual Size Estimation, and Distorting Video techniques) were compared. Anorexia nervosa and bulimic patients and normal control subjects were required to make size judgements of the way they ‘knew’ they looked, the way they ‘felt’ they looked, and of the width of an inanimate control object. Results from the three techniques were not the same, thus implying that research findings can no longer be cross-compared. Moreover, while all subjects were similar in the accuracy of their estimation of a control object, anorexia nervosa a

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4

Breunig, Christoph, and Jan Johannes. "ADAPTIVE ESTIMATION OF FUNCTIONALS IN NONPARAMETRIC INSTRUMENTAL REGRESSION." Econometric Theory 32, no. 3 (2015): 612–54. http://dx.doi.org/10.1017/s0266466614000966.

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We consider the problem of estimating the valueℓ(ϕ) of a linear functional, where the structural functionϕmodels a nonparametric relationship in presence of instrumental variables. We propose a plug-in estimator which is based on a dimension reduction technique and additional thresholding. It is shown that this estimator is consistent and can attain the minimax optimal rate of convergence under additional regularity conditions. This, however, requires an optimal choice of the dimension parametermdepending on certain characteristics of the structural functionϕand the joint distribution of the r

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5

Udhare, Atul. "Automatic Rain Gauge (Sensor Based) for Rainfall Calculation." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 2297–300. http://dx.doi.org/10.22214/ijraset.2021.36891.

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Theoretical Rainfall estimation framework is a helpful instrument in climate estimation framework. The programmed Rain check has been effectively evolved by meteorological, climatological, and geophysical office. In tropical country, for example, India for the most part Jammu and Kashmir, precipitation estimation for rural and climate determining framework is vital. Testing related tippingcontainer (TB) downpour check estimations have huge mistakes for brief time frame assessment. In this paper, a stable electronic downpour measure situation with complete information control is planned and cre

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Shiono, Nanako, and Yoshinori Takahashi. "Vibration mode analysis and estimation of sound power of source for acoustic tube driving by single reed." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A288. http://dx.doi.org/10.1121/10.0023549.

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Reproduction of wind instrument using additive manufacturing has been studied for the purpose of cultural property by Takahashi et al. It is known that the material of air reed instruments has little effect on sound quality, indicating the possibility of reproducing the Shakuhachi, a Japanese air reed instrument. On the other hand, in the case of the reproduction of classical oboe, a listening test using short musical phrases suggested the possibility of distinguishing the difference of the real instrument from that the reproduced instrument. Since the vibration of the tube caused by reed vibr

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Schwabe, Markus, and Michael Heizmann. "Influence of input data representations for time-dependent instrument recognition." tm - Technisches Messen 88, no. 5 (2021): 274–81. http://dx.doi.org/10.1515/teme-2020-0100.

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Abstract An important preprocessing step for several music signal processing algorithms is the estimation of playing instruments in music recordings. To this aim, time-dependent instrument recognition is realized by a neural network with residual blocks in this approach. Since music signal processing tasks use diverse time-frequency representations as input matrices, the influence of different input representations for instrument recognition is analyzed in this work. Three-dimensional inputs of short-time Fourier transform (STFT) magnitudes and an additional time-frequency representation based

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Nagai, Isaku, Jun Sakai, and Keigo Watanabe. "Indoor Self-Localization Using Multiple Magnetic Sensors." Journal of Robotics and Mechatronics 31, no. 2 (2019): 203–11. http://dx.doi.org/10.20965/jrm.2019.p0203.

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This study proposes an indoor self-localization for the estimation of the position and posture of an instrument using multiple magnetic sensors. First, a magnetic map for the localization is efficiently created using multiple sensors and a local positioning device made from an optical sensor and a gyroscope. For the localization estimating trajectories, the measurement error of the local positioning is corrected by matching it with the magnetic map. Our instrument is composed of six magnetic sensors, and the description of the self-localization details is based on the framework of a particle f

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9

Jackson, Miranda, and Gary Scavone. "A comparison of modeled and measured impedance of brass instruments and mouthpieces." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A109. http://dx.doi.org/10.1121/10.0026977.

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The impedance of a brass instrument has an important influence on its playability and sound timbre. The geometry of the mouthpiece has various features, such as the cup volume and shape, opening diameter, and length, that determine the characteristics of the overall impedance of the instrument-mouthpiece combination. Brass instruments, and especially mouthpieces, are designed for specific purposes, and horns or mouthpieces are chosen depending on the musical requirements. In order to investigate the relationship between the physical parameters and the impedances of instruments and mouthpieces,

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10

Gaillard, Fabienne, Thierry Terre, and Antoine Guillot. "Monitoring moored instrument motion by optimal estimation." Ocean Engineering 33, no. 1 (2006): 1–22. http://dx.doi.org/10.1016/j.oceaneng.2005.04.011.

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11

Hu, Lihua, Shida Feng, and Bo Wang. "Weakly Supervised Pose Estimation of Surgical Instrument from a Single Endoscopic Image." Sensors 24, no. 11 (2024): 3355. http://dx.doi.org/10.3390/s24113355.

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Instrument pose estimation is a key demand in computer-aided surgery, and its main challenges lie in two aspects: Firstly, the difficulty of obtaining stable corresponding image feature points due to the instruments’ high refraction and complicated background, and secondly, the lack of labeled pose data. This study aims to tackle the pose estimation problem of surgical instruments in the current endoscope system using a single endoscopic image. More specifically, a weakly supervised method based on the instrument’s image segmentation contour is proposed, with the effective assistance of synthe

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12

Grossmann, Volker, and Aderonke Osikominu. "Let the Data Speak? On the Importance of Theory-Based Instrumental Variable Estimations." German Economic Review 20, no. 4 (2019): e831-e851. http://dx.doi.org/10.1111/geer.12192.

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Abstract In absence of randomized-controlled experiments, identification is often aimed via instrumental variable (IV) strategies, typically two-stage least squares estimations. According to Bayes’ rule, however, under a low ex ante probability that a hypothesis is true (e.g. that an excluded instrument is partially correlated with an endogenous regressor), the interpretation of the estimation results may be fundamentally flawed. This paper argues that rigorous theoretical reasoning is key to design credible identification strategies, the foremost, finding candidates for valid instruments. We

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13

Kuroda, Jin, and Gou Koutaki. "Sensing Control Parameters of Flute from Microphone Sound Based on Machine Learning from Robotic Performer." Sensors 22, no. 5 (2022): 2074. http://dx.doi.org/10.3390/s22052074.

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When learning to play a musical instrument, it is important to improve the quality of self-practice. Many systems have been developed to assist practice. Some practice assistance systems use special sensors (pressure, flow, and motion sensors) to acquire the control parameters of the musical instrument, and provide specific guidance. However, it is difficult to acquire the control parameters of wind instruments (e.g., saxophone or flute) such as flow and angle between the player and the musical instrument, since it is not possible to place sensors into the mouth. In this paper, we propose a se

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14

Tajdinian, Mohsen, Mehdi Zareian Jahromi, and Mojtaba Jalalpour. "A Novel Method for Frequency Estimation Considering Instrument Transient Effect." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 2 (2015): 177. http://dx.doi.org/10.11591/ijece.v5i2.pp177-188.

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Large disturbances in power systems cause deviation in the frequency from the nominal value. Since the frequency is an important factor in the electrical network parameter measurements, it can cause malfunction of the protection system. In addition, Because of decaying DC and oscillatory components that introduced by CCVT in response of voltage variation during the fault occurrence, cause changes in the value of received voltage of primary side of CCVT. An improved least square method for estimating frequency is presented in this paper. In order to reduce the effect of this transient component

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15

Li, Ming, Chun Lan Jiang, and Zai Cheng Wang. "Application of Virtual Instrument in Time Delay Signal Analysis." Applied Mechanics and Materials 40-41 (November 2010): 990–94. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.990.

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Time delay estimation is the basis of target location of multi-sensor network, while the basic analysis of the signal is of key importance to the time delay estimation. In this paper, a time delay analysis system is designed by virtual instrument development tools. The analysis system contains: virtual oscilloscope, virtual spectrum analyzer, virtual filter and virtual time delay analyzer. Using this analysis system on a set of field collected acoustic target signal, spectrum analysis and filtering is made. Then the time delay estimation has been carried out for several sampling data segments

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16

Gong, Xiaorong, Shudong Chen, and Shuang Zhang. "JOM-4S Overhauser Magnetometer and Sensitivity Estimation." Sensors 21, no. 22 (2021): 7698. http://dx.doi.org/10.3390/s21227698.

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The Overhauser magnetometer is a scalar quantum magnetometer based on the dynamic nuclear polarization (DNP) effect in the Earth’s magnetic field. Sensitivity is a key technical specification reflecting the ability of instruments to sense small variations of the Earth’s magnetic field and is closely related to the signal-to-noise ratio (SNR) of the free induction decay (FID) signal. In this study, deuterated 15N TEMPONE radical is used in our sensor to obtain high DNP enhancement. The measured SNR of the FID signal is approximately 63/1, and the transverse relaxation time T2 is 2.68 s. The dir

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17

Zhong, Xun Yu, and Tian Hui Ren. "Motion Model Parameters Estimation for Electronic Image Stabilization Instrument." Applied Mechanics and Materials 325-326 (June 2013): 1543–46. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.1543.

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Fast and optimal motion estimation method is proposed for electronic image stabilization. First, an approach for macro-block judgment is presented. Before motion vectors calculation, gradient information is analyzed, only useful reference blocks that are indispensable for accurate motion estimation are selected, by which the number of macro-blocks for subsequent calculation is reduced. Second, in the block matching, an improved SSDA is used to reduce computing cost. Finally, the affine transformation model and similarity transformation model of image motion are created and using least squares

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18

Ma, Yan, Jie Jiang, and Guangjun Zhang. "Stellar Instrument Magnitude Estimation in Infinite-Dimensional Space." IEEE Sensors Journal 20, no. 3 (2020): 1422–32. http://dx.doi.org/10.1109/jsen.2019.2946836.

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19

Smyth, Tamara, and Jonathan S. Abel. "Estimation of reed flow signal from instrument performance." Journal of the Acoustical Society of America 128, no. 4 (2010): 2344. http://dx.doi.org/10.1121/1.3508302.

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20

Kreinovich, V. Ya, and G. N. Solopchenko. "Canonical-parameter estimation for instrument complex frequency response." Measurement Techniques 36, no. 9 (1993): 968–72. http://dx.doi.org/10.1007/bf00995784.

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21

Boumahdi, Rachid, and Alban Thomas. "Instrument relevance and efficient estimation with panel data." Economics Letters 93, no. 2 (2006): 305–10. http://dx.doi.org/10.1016/j.econlet.2006.05.020.

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22

Mogstad, M., and M. Wiswall. "Instrumental variables estimation with partially missing instruments." Economics Letters 114, no. 2 (2012): 186–89. http://dx.doi.org/10.1016/j.econlet.2011.10.013.

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23

I, Wayan Gunartha. "ESTIMASI KESALAHAN PENGUKURAN DALAM BIDANG PENDIDIKAN BERDASARKAN TEORI TES KLASIK." Widyadari 23, no. 1 (2022): 34–47. https://doi.org/10.5281/zenodo.6390889.

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<em>Measurement results play an important role in providing information about the achievement of student learning outcomes. Unfortunately, accurate and objective information in the measurement of psychological aspects is not easily obtained because of measurement errors. These measurement errors need to be known by the teacher so that the measurement results can be interpreted appropriately. To determine the magnitude of measurement errors, the indicator used by classical test theory is the reliability index. The higher the reliability index, the lower the measurement error; and the smaller th

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24

Gunartha, I. Wayan, Tajularipin Sulaiman, Siti Partini Suardiman, and Badrun Kartowagiran. "Developing instruments for measuring the level of early childhood development." Research and Evaluation in Education 6, no. 1 (2020): 1–9. http://dx.doi.org/10.21831/reid.v6i1.21996.

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The aims of the study were to: (1) develop a set of instruments to measure the level of early childhood development (kindergarten group B), and (2) assess the quality of the developed instruments. This study is developmental research. The samples of the study were the students of kindergarten group B. The developed instrument was a set of questionnaires. Instrument testing was carried out in three stages with the number of subjects increased on each stage. The validity analysis of the questionnaire used confirmatory factor analysis (CFA). The reliability estimation of the questionnaire used co

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25

Fang, Wei Hua, and Na Zhang. "Estimation of Overall Reliability for Zero-Failure Batch Production Monitoring Instrument Based on E-Bayes Method." Applied Mechanics and Materials 578-579 (July 2014): 1177–82. http://dx.doi.org/10.4028/www.scientific.net/amm.578-579.1177.

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To solve the problem of the overall reliability evaluation for the specific batch high-reliability monitoring instrument, for the practical problems for zero-failure data of the high-reliability instrument, we propose the batch production instrument overall reliability evaluation method based on E-Bayes theory, and give the point estimation and interval estimation of instrument overall reliability. Case study demonstrates the rationality and feasibility of the proposed method, which provides a reference for the dam safety monitoring management.

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26

Huber-Feely, Noah, Mark R. Swain, Gael Roudier, and Raissa Estrela. "Characterization of an Instrument Model for Exoplanet Transit Spectrum Estimation through Wide-scale Analysis on HST Data." Astronomical Journal 163, no. 1 (2021): 22. http://dx.doi.org/10.3847/1538-3881/ac341a.

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Abstract Instrument models (IMs) enable the reduction of systematic error in transit spectroscopy light-curve data, but, since the model formulation can influence the estimation of science model parameters, characterization of the instrument model effects is crucial to the interpretation of the reduced data. We analyze a simple instrument model and assess its validity and performance across Hubble WFC3 and STIS instruments. Over a large, n = 63, sample of observed targets, a Markov chain Monte Carlo sampler computes the parent distribution of each instrument model parameter. Possible parent di

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27

Liu 刘, Hao 浩., Jia-Rui 嘉睿 Li 李, and Yi-Fu 一夫 Cai 蔡. "Evaluation of the Single-component Thermal Dust Emission Model in Cosmic Microwave Background Experiments." Astrophysical Journal Supplement Series 276, no. 2 (2025): 45. https://doi.org/10.3847/1538-4365/ad96b8.

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Abstract It is well known that multiple Galactic thermal dust emission components may exist along the line of sight, but a single-component approximation is still widely used, since a full multicomponent estimation requires a large number of frequency bands that are only available with future experiments. In light of this, we present a reliable, quantitative, and sensitive criterion to test the goodness of all kinds of dust emission estimations. This can not only give a definite answer to the quality of current single-component approximations but also help determine preconditions of future mul

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28

Aymerich, Maria, Antoni Castelló, and Ramon Cladellas. "Efficacy of a Contextualized Measurement of Life Satisfaction: A Pilot Study on the Assessment of Progress in Eating Disorder Therapy." International Journal of Environmental Research and Public Health 19, no. 21 (2022): 14452. http://dx.doi.org/10.3390/ijerph192114452.

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Eating disorders strongly affect psychological distress and its perception. However, most of the existing instruments for assessing life satisfaction rely on a point-estimation method that is biased due to the circumstantial conditions around the time of assessment. The main goal of this study was to apply a different kind of instrument—the Life Satisfaction Chart—that situates the current state of life satisfaction in the context of personal history and describes the life stages through a graph. The assessment was applied to a sample of 29 adolescent women (average age of 17.88) who were enro

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29

Arnerić, Josip, and Antoni Šitum. "PVAR model with collapsed instruments in the real exchange rates misalignment's analysis." Croatian operational research review 13, no. 2 (2022): 203–15. http://dx.doi.org/10.17535/crorr.2022.0015.

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The causes and the consequences of the real exchange rates misalignment's of European Union (EU) members were examined in this paper by implementing stationary panel vector autoregression (PVAR) model with fixed effects. PVAR methodology was recognized as the most appropriate in line with data structure and the objectives of the research. For estimation purpose, the generalized method of moments (GMM) in first differences, with a reduced number of instruments, was applied. Primarily objective was to find whether a collapsed matrix of instruments helps in reducing the dynamic panel bias within

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30

Hashimoto, Noriaki, and Koji Konbune. "DIRECTIONAL SPECTRUM ESTIMATION FROM A BAYESIAN APPROACH." Coastal Engineering Proceedings 1, no. 21 (1988): 4. http://dx.doi.org/10.9753/icce.v21.4.

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A new directional spectral estimation method using a Bayesian approach is proposed. The proposed method is examined for numerical simulation data, and the validity of the method is discussed. Some examples of the directional spectra estimated from field observation data attained at an offshore oil rig utilizing seven wave probes are also shown in this report. The major conclusions of the report are : (1) The proposed method can be applied for more than four arbitrarily mixed instrument array measurements. (2) It has a higher resolution power than other existing methods for estimating direction

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31

Chetverikov, Denis, Dongwoo Kim, and Daniel Wilhelm. "Nonparametric Instrumental-Variable Estimation." Stata Journal: Promoting communications on statistics and Stata 18, no. 4 (2018): 937–50. http://dx.doi.org/10.1177/1536867x1801800411.

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In this article, we introduce the commands npiv and npivcv, which implement nonparametric instrumental-variable (NPIV) estimation methods without and with a cross-validated choice of tuning parameters, respectively. Both commands can impose the constraint that the resulting estimated function is monotone. Using such a shape restriction may significantly improve the performance of the NPIV estimator (Chetverikov and Wilhelm, 2017, Econometrica 85: 1303–1320) because the ill-posedness of the NPIV estimation problem leads to unconstrained estimators that suffer from particularly poor statistical

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Kidd, Chris, Toshi Matsui, William Blackwell, Scott Braun, Robert Leslie, and Zach Griffith. "Precipitation Estimation from the NASA TROPICS Mission: Initial Retrievals and Validation." Remote Sensing 14, no. 13 (2022): 2992. http://dx.doi.org/10.3390/rs14132992.

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This paper describes the initial results of precipitation estimates from the Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS) Millimeter-wave Sounder (TMS) using the Precipitation Retrieval and Profiling Scheme (PRPS). The TROPICS mission consists of a Pathfinder CubeSat and a constellation of six CubeSats, providing a low-cost solution to the frequent sampling of precipitation systems across the Tropics. The TMS instrument is a 12-channel cross-track scanning radiometer operating at frequencies of 91.655 to 204.8 GHz, provid

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33

Ananda, Naufal, Faqihza Mukhlish, Haryas Subyantara Wicaksana, and Irvan Budiawan. "Spatial Evaluation of Estimation Rainfall on Weather Radar Using Marshall-Palmer Z-R Method in West Java." Jurnal Otomasi Kontrol dan Instrumentasi 16, no. 1 (2024): 35–43. http://dx.doi.org/10.5614/joki.2024.16.1.4.

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Rainfall is one of the weather parameters that affect various sectors. High rainfall intensity can trigger hydrometeorological disasters, so rainfall observation data is vital to monitor rainfall conditions in an area. An automatic rain gauge is an instrument that measures rainfall at an observation point, but the instrument has reasonably low coverage and has yet to reach the entire region. Weather radar is a remote sensing instrument capable of spatially estimating rainfall. Weather radar data can be used to estimate rainfall using the Marshall-Palmer Z-R method. The application of the metho

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34

Mütschard, Lutz, Ketil Hokstad, and Bjørn Ursin. "Estimation of seafloor electromagnetic receiver orientation." GEOPHYSICS 79, no. 2 (2014): E81—E89. http://dx.doi.org/10.1190/geo2013-0060.1.

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If the orientation of a seafloor electromagnetic (EM) instrument is unknown, it has to be estimated afterwards, relatively early in the processing. Here we present a method to estimate the horizontal and vertical orientation of seafloor electromagnetic receivers. Three component magnetic recordings of the naturally occurring magnetotelluric field are utilized to find the tilt, pitch, and azimuth angle relative to a given reference. Estimation of angles is controlled by minimum difference criteria. Precautionary measures are necessary to eliminate the subsurface response in the recordings of th

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35

Oliveira, Fernando Nascimento. "New evidence on the effectiveness of interventions in the foreign exchange market in Brazil." Brazilian Review of Finance 18, no. 2 (2020): 29. http://dx.doi.org/10.12660/rbfin.v18n2.2020.80115.

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<p>This paper discusses the effectiveness in Brazil of the traditional instrument of exchange rate intervention (spot interventions) as well as an instrument based on exchange rate derivatives (foreign exchange swaps). We show that these instruments are capable of affecting the conditional mean of the process of the nominal exchange rate throughout our sample period, from January 2006 to April 2016. Our results are robust to different techniques of estimation (GMM in continuous time and in discrete time), specifications and sample periods.</p><p> </p>

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Helgerud, Trygve, Vegard H. Segtnan, Jens P. Wold, et al. "Near-infrared Spectroscopy for Rapid Estimation of Dry Matter Content in Whole Unpeeled Potato Tubers." Journal of Food Research 1, no. 4 (2012): 55. http://dx.doi.org/10.5539/jfr.v1n4p55.

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<p>The dry matter is one of the main quality parameters of raw and processed potatoes. In the present study, the potential of utilizing high throughput commercially available NIR interactance systems for dry matter determination in whole unpeeled potato tubers is investigated. The performance of a 2D NIR interactance instrument was compared with that of a 1D NIR interactance instrument and a traditional underwater weight apparatus. A total of 114 tubers were assessed individually with both of the NIR instruments (760-1040 nm), the underwater weight and an external reference method (freez

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Sari, Anggi Ristiyana Puspita, and Suyanta Suyanta. "Karakteristik instrumen integrated assessment untuk mengukur critical thinking skills dan science process skills." Measurement In Educational Research (Meter) 1, no. 1 (2021): 26. http://dx.doi.org/10.33292/meter.v1i1.108.

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Penelitian ini bertujuan untuk mendeskripsikan karakteristik instrumen integrated assessment. Penelitian ini menggunakan model pengembangan instrumen tes dari McIntire. Produk awal ditinjau oleh peer reviewers dan divalidasi oleh experts. Tahap uji coba instrumen melibatkan 392 peserta didik kelas XI IPA di tiga SMA di Kota Yogyakarta. Hasil uji coba instrumen berupa data politomus yang dianalisis dengan pendekatan PCM 1-PL menggunakan program Winsteps. Instrumen pengumpulan data meliputi lembar validasi butir soal, lembar angket respon pengguna instrumen, dan instrumen tes berbentuk uraian. K

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Maeda, Prof Hirofumi. "Three-Dimensional Position-Measuring Instrument using Two Manipulators." International Journal of Recent Technology and Engineering (IJRTE) 14, no. 1 (2025): 1–8. https://doi.org/10.35940/ijrte.f8214.14010525.

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In Japan, the number of sewer culverts with a service life of 50 years has increased, and aging facilities have become apparent. In recent years, therefore, robots have come to be used for pipe inspections. Thus, the robot must grasp the situation and perform actions to prevent tipping over in the pipe. Consequently, we have decided to explore a software approach to prevent tipping using driving control and aim to realize highly accurate selfposition estimation, which is necessary for this approach. Although we have established a basic localization method based on our previous research, there

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Prof., Hirofumi Maeda. "Three-Dimensional Position-Measuring Instrument using Two Manipulators." International Journal of Recent Technology and Engineering (IJRTE) 14, no. 1 (2025): 1–8. https://doi.org/10.35940/ijrte.F8214.14010525.

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<strong>Abstract:</strong> In Japan, the number of sewer culverts with a service life of 50 years has increased, and aging facilities have become apparent. In recent years, therefore, robots have come to be used for pipe inspections. Therefore, the robot must grasp the situation and perform actions to prevent tipping over in the pipe. Therefore, we have decided to explore a software approach to prevent tipping using driving control and aim to realize highly accurate selfposition estimation, which is necessary for this approach. Although we have established a basic localization method based on

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40

Prof., Hirofumi Maeda. "Three-Dimensional Position-Measuring Instrument using Two Manipulators." International Journal of Recent Technology and Engineering (IJRTE) 14, no. 1 (2025): 1–8. https://doi.org/10.35940/ijrte.F8214.14010525/.

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<strong>Abstract:</strong> In Japan, the number of sewer culverts with a service life of 50 years has increased, and aging facilities have become apparent. In recent years, therefore, robots have come to be used for pipe inspections. Thus, the robot must grasp the situation and perform actions to prevent tipping over in the pipe. Consequently, we have decided to explore a software approach to prevent tipping using driving control and aim to realize highly accurate selfposition estimation, which is necessary for this approach. Although we have established a basic localization method based on ou

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41

Amalia, Tuti, and Muhammad Nursa'ban. "Assessment of geography learning process standards in the indonesian curriculum: Instrument development and quality." Jurnal Penelitian dan Evaluasi Pendidikan 27, no. 2 (2023): 216–25. http://dx.doi.org/10.21831/pep.v27i2.67434.

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The need for mapping the achievement of geography learning process standards in the Indonesian curriculum can provide recommendations in accordance with the conditions in the field. This study aims to determine and describe the quality of geography learning process standard instruments in the Indonesian curriculum, namely: 1) content validity 2) construct validity 3) reliability. This research is instrument development research. The development stage used is the development stage of the instrument test by Heri Retnawati. The process of preparing the instrument, namely: determining the purpose

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Schwabe, Markus, Omar Elaiashy, and Fernando Puente León. "Incorporation of phase information for improved time-dependent instrument recognition." tm - Technisches Messen 87, s1 (2020): s62—s67. http://dx.doi.org/10.1515/teme-2020-0031.

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AbstractTime-dependent estimation of playing instruments in music recordings is an important preprocessing for several music signal processing algorithms. In this approach, instrument recognition is realized by neural networks with a two-dimensional input of short-time Fourier transform (STFT) magnitudes and a time-frequency representation based on phase information. The modified group delay (MODGD) function and the product spectrum (PS), which is based on MODGD, are analysed as phase representations. Training and evaluation processes are executed based on the MusicNet dataset. By the incorpor

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Smith, J., H. Kreisman, A. Colacone, J. Fox, and N. Wolkove. "Sensation of inspired volumes and pressures in professional wind instrument players." Journal of Applied Physiology 68, no. 6 (1990): 2380–83. http://dx.doi.org/10.1152/jappl.1990.68.6.2380.

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Previous studies have failed to show consistent differences in pulmonary function between wind instrument musicians and normal controls. In this study, respiratory sensation was assessed in 13 professional wind instrument players and 13 age-matched controls. Psychophysical techniques were used to assess magnitude estimation and reproduction of lung volumes and inspiratory pressures. The exponent for volume magnitude estimation was not different in musicians and controls (1.17 +/- 0.11 vs. 1.16 +/- 0.11), but volume reproduction was more accurate in musicians. The mean exponent for pressure mag

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Kostadinov, Fabian, Renato Lemm, and Oliver Thees. "Ein Instrument zur Schätzung von Holzernteproduktivitäten mittels der kNN-Methode." Schweizerische Zeitschrift fur Forstwesen 163, no. 4 (2012): 119–29. http://dx.doi.org/10.3188/szf.2012.0119.

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A software tool for the estimation of wood harvesting productivity using the kNN method For operational planning and management of wood harvests it is important to have access to reliable information on time consumption and costs. To estimate these efficiently and reliably, appropriate methods and calculation tools are needed. The present article investigates whether use of the method of the k nearest neighbours (kNN) is appropriate in this case. The kNN algorithm is first explained, then is applied to two sets of data “combined cable crane and processor” and “skidder”, both containing wood ha

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Yaguang, Yang, and Sydnor Russell. "RELIABILITY ESTIMATION FOR A DIGITAL INSTRUMENT AND CONTROL SYSTEM." Nuclear Engineering and Technology 44, no. 4 (2012): 405–14. http://dx.doi.org/10.5516/net.04.2012.513.

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Sterling, Mark, Xiaoxiao Dong, and Mark Bocko. "Parameter estimation and inversion for wind instrument physical models." Journal of the Acoustical Society of America 124, no. 4 (2008): 2511. http://dx.doi.org/10.1121/1.4782908.

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Gonzalez, Ruben, Biao Huang, Fangwei Xu, and Aris Espejo. "Estimation of Instrument Variance and Bias Using Bayesian Methods." Industrial & Engineering Chemistry Research 50, no. 10 (2011): 6229–39. http://dx.doi.org/10.1021/ie101770p.

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Garalde, Daniel R., Christopher R. O'Donnell, Raj D. Maitra, Donald M. Wiberg, Gang Wang, and William B. Dunbar. "Modeling the Biological Nanopore Instrument for Biomolecular State Estimation." IEEE Transactions on Control Systems Technology 21, no. 6 (2013): 2038–51. http://dx.doi.org/10.1109/tcst.2012.2224349.

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Tasič, Izidor, and Franc Runovc. "Seismometer self-noise estimation using a single reference instrument." Journal of Seismology 16, no. 2 (2011): 183–94. http://dx.doi.org/10.1007/s10950-011-9257-4.

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Xu, Haozheng, Alistair Weld, Chi Xu, et al. "SurgRIPE challenge: Benchmark of surgical robot instrument pose estimation." Medical Image Analysis 105 (October 2025): 103674. https://doi.org/10.1016/j.media.2025.103674.

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