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Journal articles on the topic 'Performance projection'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Krikštolaitis, R. "Statistical Estimation of Discriminant Space using Various Projection Indices." Nonlinear Analysis: Modelling and Control 6, no. 1 (2001): 67–77. https://doi.org/10.15388/na.2001.6.1.15226.

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Projection pursuit is a method for finding interesting projections of high-dimensional multivariate data. Typically interesting projections are found by numerical maximizing some measure of non-normality of projected data (so-called projection index) over projection direction. The problem is to select the index for projection pursuit. In this article we compare performance of five projection indices: projection indices based on omega2, Omega2, Kolmogorov-Smirnov goodness-of-fit measures, entropy index and Friedman's index. It is supposed that observed random variable satisfies a multidimension

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2

Ramanath, Rohan, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, and Kinjal Basu. "Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 4 (2022): 3821–29. http://dx.doi.org/10.1609/aaai.v36i4.20297.

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We consider applications involving a large set of instances of projecting points to polytopes. We develop an intuition guided by theoretical and empirical analysis to show that when these instances follow certain structures, a large majority of the projections lie on vertices of the polytopes. To do these projections efficiently we derive a vertex-oriented incremental algorithm to project a point onto any arbitrary polytope, as well as give specific algorithms to cater to simplex projection and polytopes where the unit box is cut by planes. Such settings are especially useful in web-scale appl

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Oktavianti, Bramantika. "PROYEKSI PSIKOLOGIS PADA KOMPLEKSITAS KERJA TEKNOLOGI: STUDI KASUS PADA AUDITOR DI INDONESIA." Efektif : Jurnal Bisnis dan Ekonomi 15, no. 2 Desember (2025): 148–67. https://doi.org/10.37159/dk24rq25.

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This study aims to examine how psychological projection mitigates the impact of technological work complexity on auditor task performance. Auditors may use psychological projection as a protective rationale that can affect their task performance. The motivation of this research is to demonstrate that psychological projection triggered by the technological work complexity as a threat may be influenced by the auditor's cognitive level, which in turn affects task performance. Using survey methods, this paper emphasizes the impact of cognitive quality and psychological projection on auditors' expe

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Li, Dong, Danli Wang, and Dongdong Weng. "Non-planar projection performance evaluation and projector pose optimization." Journal of the Society for Information Display 26, no. 6 (2018): 352–68. http://dx.doi.org/10.1002/jsid.633.

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Bhatnagar, Saakaar. "Investigating the Surrogate Modeling Capabilities of Continuous Time Echo State Networks." Mathematical and Computational Applications 29, no. 1 (2024): 9. http://dx.doi.org/10.3390/mca29010009.

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Continuous Time Echo State Networks (CTESNs) are a promising yet under-explored surrogate modeling technique for dynamical systems, particularly those governed by stiff Ordinary Differential Equations (ODEs). A key determinant of the generalization accuracy of a CTESN surrogate is the method of projecting the reservoir state to the output. This paper shows that of the two common projection methods (linear and nonlinear), the surrogates developed via the nonlinear projection consistently outperform those developed via the linear method. CTESN surrogates are developed for several challenging ben

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Shi, Xudong, Feiqi Su, Jih-kwon Peir, Ye Xia, and Zhen Yang. "CMP cache performance projection." ACM SIGARCH Computer Architecture News 35, no. 1 (2007): 13–20. http://dx.doi.org/10.1145/1241601.1241607.

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Özge Onur, Tuğba. "An application of filtered back projection method for computed tomography images." International Review of Applied Sciences and Engineering 12, no. 2 (2021): 194–200. http://dx.doi.org/10.1556/1848.2021.00231.

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AbstractMathematical methods take an important part in reconstruction technologies of radiographic image. Back projection, iterative, and analytical (Two-dimensional Fourier, Filtered Back Projection) methods are the most important procedures for image reconstruction. Whenever there exists numerous projections, analytical methods have a great performance in speed and accuracy and due to these advantages they are comprehensively used for X-ray imaging. One of the widespread used methods in tomographic image reconstruction is Filtered Back Projection (FBP) algorithm. This paper presents an appli

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Zhang, Hongliang, Shuo Chen, Lei Luo, and Jian Yang. "Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 21 (2025): 22425–33. https://doi.org/10.1609/aaai.v39i21.34399.

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Spherical Sliced-Wasserstein (SSW) has recently been proposed to measure the discrepancy between spherical data distributions in various fields, such as geology, medical domains, computer vision, and deep representation learning. However, in the original SSW, all projection directions are treated equally, which is too idealistic and cannot accurately reflect the importance of different projection directions for various data distributions. To address this issue, we propose a novel data-adaptive Discriminative Spherical Sliced-Wasserstein (DSSW) distance, which utilizes a projected energy functi

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Abreu, M., D. A. Tyndall, J. B. Ludlow, and C. J. Nortjé. "Influence of the number of basis images and projection array on caries detection using tuned aperture computed tomography (TACT)." Dentomaxillofacial Radiology 31, no. 1 (2002): 24–31. http://dx.doi.org/10.1038/sj/dmfr/4600656.

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OBJECTIVES to determine if the number of basis images and spatial distribution of the projection array used for TACT slice generation influence observer performance in caries detection. METHODS In the first experiment, 2, 4, 8 and 12 basis projections of each of 40 teeth were acquired using a CMOS digital radiography sensor. Projections were distributed radially in space using a 20 degree angular disparity. TACT slices were generated from the four subgroups of images, presented to eight observers, and viewed on a high-resolution monitor. Observers scored the presence/absence of caries using a

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Rajni, Yadav, and Shekhar Rai Chandra. "L1-Norm Penalized Bias Compensated Linear Constrained Affine Projection Algorithm." L1-Norm Penalized Bias Compensated Linear Constrained Affine Projection Algorithm 9, no. 3 (2020): 1809–16. https://doi.org/10.35940/ijeat.C4815.029320.

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This paper presents an l1-norm penalized bias compensated linear constrained affine projection (l1-BC-CAP) algorithm for sparse system identification having linear phase aspectin the presence of noisy colored input. The motivation behind the development of the proposed algorithm is formulated on the concept of reusing the previous projections of input signal in affine projection algorithm (APA) that makes it suitable for colored input. At First, l1-CAP algorithm is derived by adding zero attraction based on l1-norm into constrained affine projection (CAP) algorithm. Then, the proposed l1-BC-CA

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11

Wehner, Michael, David R. Easterling, Jay H. Lawrimore, Richard R. Heim, Russell S. Vose, and Benjamin D. Santer. "Projections of Future Drought in the Continental United States and Mexico." Journal of Hydrometeorology 12, no. 6 (2011): 1359–77. http://dx.doi.org/10.1175/2011jhm1351.1.

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Abstract Using the Palmer drought severity index, the ability of 19 state-of-the-art climate models to reproduce observed statistics of drought over North America is examined. It is found that correction of substantial biases in the models’ surface air temperature and precipitation fields is necessary. However, even after a bias correction, there are significant differences in the models’ ability to reproduce observations. Using metrics based on the ability to reproduce observed temporal and spatial patterns of drought, the relationship between model performance in simulating present-day droug

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Wang, Jiangang, Yuning Cui, Yawen Li, Wenqi Ren, and Xiaochun Cao. "Omnidirectional Image Super-resolution via Bi-projection Fusion." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 6 (2024): 5454–62. http://dx.doi.org/10.1609/aaai.v38i6.28354.

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With the rapid development of virtual reality, omnidirectional images (ODIs) have attracted much attention from both the industrial community and academia. However, due to storage and transmission limitations, the resolution of current ODIs is often insufficient to provide an immersive virtual reality experience. Previous approaches address this issue using conventional 2D super-resolution techniques on equirectangular projection without exploiting the unique geometric properties of ODIs. In particular, the equirectangular projection (ERP) provides a complete field-of-view but introduces signi

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Zheng, Wei, Bin Li, Shu Bo Ren, Jiang Chen, and Jian Jun Wu. "Interference Modeling and Analysis for Inclined Projective Multiple Beams of GEO Satellite Communication Systems." Advanced Materials Research 756-759 (September 2013): 1204–9. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1204.

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In multi-beam satellite systems, Inter-Beam Interference (IBI) has a great effect on system performance. Within range of satellite coverage area, inclined projective multiple beams give rise to elliptic beam projections, resulting in that the distribution of beam projections is different from traditional cellular distribution. In this paper, an Inclined Projection (IP) model is proposed for IBI in OFDMA based GEO satellite communication systems, and corresponding analysis is also included. A comparison of carrier to interference power ratio (C/I) of users at the center of each cell with and wi

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Gu, Jiaxin, Ce Li, Baochang Zhang, et al. "Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8344–51. http://dx.doi.org/10.1609/aaai.v33i01.33018344.

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The advancement of deep convolutional neural networks (DCNNs) has driven significant improvement in the accuracy of recognition systems for many computer vision tasks. However, their practical applications are often restricted in resource-constrained environments. In this paper, we introduce projection convolutional neural networks (PCNNs) with a discrete back propagation via projection (DBPP) to improve the performance of binarized neural networks (BNNs). The contributions of our paper include: 1) for the first time, the projection function is exploited to efficiently solve the discrete back

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Moreira de Sousa, Luís, Laura Poggio, and Bas Kempen. "Comparison of FOSS4G Supported Equal-Area Projections Using Discrete Distortion Indicatrices." ISPRS International Journal of Geo-Information 8, no. 8 (2019): 351. http://dx.doi.org/10.3390/ijgi8080351.

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This study compares the performance of five popular equal-area projections supported by Free and Open Source Software for Geo-spatial (FOSS4G)—Sinusoidal, Mollweide, Hammer, Eckert IV and Homolosine. A set of 21,872 discrete distortion vindicatrices were positioned on the ellipsoid surface, centred on the cells of a Snyder icosahedral equal-area grid. These indicatrices were projected on the plane and the resulting angular and distance distortions computed, all using FOSS4G. The Homolosine is the only projection that manages to minimise angular and distance distortions simultaneously. It yield

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Casas, Gianmarco Goycochea, Leonardo Pereira Fardin, Simone Silva, et al. "Improving Yield Projections from Early Ages in Eucalypt Plantations with the Clutter Model and Artificial Neural Networks." Pertanika Journal of Science and Technology 30, no. 2 (2022): 1257–72. http://dx.doi.org/10.47836/pjst.30.2.22.

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A common issue in forest management is related to yield projection for stands at young ages. This study aimed to evaluate the Clutter model and artificial neural networks for projecting eucalypt stands production from early ages, using different data arrangements. In order to do this, the changes in the number of measurement intervals used as input in the Clutter model and artificial neural networks (ANNs) are tested. The Clutter model was fitted considering two sets of data: usual, with inventory measurements (I) paired at intervals each year (I1–I2, I2–I3, …, In–In+1); and modified, with mea

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Oyama, Kei, Yukiko Hori, Yuji Nagai, et al. "Chemogenetic dissection of the primate prefronto-subcortical pathways for working memory and decision-making." Science Advances 7, no. 26 (2021): eabg4246. http://dx.doi.org/10.1126/sciadv.abg4246.

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The primate prefrontal cortex (PFC) is situated at the core of higher brain functions via neural circuits such as those linking the caudate nucleus and mediodorsal thalamus. However, the distinctive roles of these prefronto-subcortical pathways remain elusive. Combining in vivo neuronal projection mapping with chemogenetic synaptic silencing, we reversibly dissected key pathways from dorsolateral part of the PFC (dlPFC) to the dorsal caudate (dCD) and lateral mediodorsal thalamus (MDl) individually in single monkeys. We found that silencing the bilateral dlPFC-MDl projections, but not the dlPF

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Kurosawa, Minoru, and Takashi Shigematsu. "Friction Drive Simulation of a SAW Motor with Slider Surface Texture Variation." Advances in Science and Technology 54 (September 2008): 366–71. http://dx.doi.org/10.4028/www.scientific.net/ast.54.366.

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Potential of a surface acoustic wave (SAW) linear motor had been demonstrated; high speed up to 1.5 m/s, huge output force more than 10 N, quick response and fine stepping motion down to 0.5 nm by using a 60 x 15 x 1 mm3 SAW device at 10 MHz operation frequency and 4x4 mm Si slider by experiments. Mechanical output of the SAW motor was 270 times larger that of the weight and 500 W/kg in power. The conversion efficiency from the traveling wave power to the motor mechanical output was 14 %. Now, transformation mechanism research from high frequency vibration of 10 to 100 MHz frequency range to m

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19

PARK, CHEONG HEE. "IMPROVED ALGORITHMS FOR UNSUPERVISED DISCRIMINANT PROJECTION." International Journal of Pattern Recognition and Artificial Intelligence 24, no. 02 (2010): 193–206. http://dx.doi.org/10.1142/s0218001410007920.

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Dimension reduction has been applied in various areas of pattern recognition and data mining. While a traditional dimension reduction method, Principal Component Analysis (PCA) finds projective directions to maximize the global scatter in data, Locality Preserving Projection (LPP) pursues linear dimension reduction to minimize the local scatter. However, the discriminative power by either global or local scatter optimization is not guaranteed to be effective for classification. A recently proposed method, Unsupervised Discriminant Projection (UDP) aims to minimize the local scatter among near

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Luan, Guang Yu, Xue Dong Zhu, Ai Chuan Li, Zhen Su Lv, and Ren Sheng Che. "Frame Reconstruction with Missing Data from Multiple Images." Applied Mechanics and Materials 239-240 (December 2012): 1158–64. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1158.

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To solve the missing data problem that is caused by reasons, such as occlusion, frame reconstruction by a two-level strategy in multiple images was considered. The method first performed a projective reconstruction combining singular value decomposition (SVD) and subspace method with missing data, which estimated projective shape, projection matrices, projective depths and missing data iteratively. Then it converted the projective solution to a Euclidean one with the unknown focal length and the constant principal point by enforcing constraints. Using the constraints and the fact that scale me

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Wu, Tung-Lung. "Improved Test for High-Dimensional Mean Vectors and Covariance Matrices Using Random Projection." Mathematics 13, no. 13 (2025): 2060. https://doi.org/10.3390/math13132060.

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This paper proposes an improved random projection-based method for testing high-dimensional two-sample mean vectors and covariance matrices. For mean testing, the proposed approach incorporates training data to guide the construction of projection matrices toward the estimated mean difference, thereby substantially enhancing the power of the projected Hotelling’s T2 statistic. We introduce three aggregation strategies—maximum, average, and percentile-based—to ensure stable performance across multiple projections. For covariance testing, the method employs data-driven projections aligned with t

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Singh, Chamjeet, Jagdeep Singh, Sandeep Singh, and Vikas Kumar. "Performance of Inclined Skirt Footing: Numerical Analysis." IOP Conference Series: Earth and Environmental Science 889, no. 1 (2021): 012076. http://dx.doi.org/10.1088/1755-1315/889/1/012076.

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Abstract The skirt footings are considered as alternate to enhance the bearing capacity of shallow foundation on sandy soil as an alternate of deep foundation. The experimental data of paper titled “Performance of skirt strip footing subjected to eccentric inclined load was consider as base for validation and other parameters of material for numerical investigation for different conditions. Numerical analysis was conducted to determine the behavior of two-sided skirt footing on eccentric loading with different angle and projections provided to skirt. The study reveals good impact of skirt angl

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Guo, Xiaomin. "Should Investors Trust Equity Analysts?" International Journal of Business Analytics 2, no. 2 (2015): 45–61. http://dx.doi.org/10.4018/ijban.2015040104.

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This paper studies the holistic issue of the combination of analyst projection accuracy, diversity, and distribution. It first tracks the earnings per share and sales projections of a number of equity analysts for 17 representative U.S. companies using data from 1978 to 2012. It also compares the analysts' consensus of earnings per share, sales, rating, and price target zone to identify the degree of concentration among the opinions. It finds that the magnitudes and coefficient variations of projection errors are small, and the analysts' opinions are insignificantly diversified. Analysts' proj

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Jia, Shuhan, Yu Li, Quanhua Zhao, and Changqiang Wang. "TRP-Oriented Hyperspectral Remote Sensing Image Classification Using Entropy-Weighted Ensemble Algorithm." Remote Sensing 15, no. 9 (2023): 2315. http://dx.doi.org/10.3390/rs15092315.

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The problem that the randomly generated random projection matrix will lead to unstable classification results is addressed in this paper. To this end, a Tighter Random Projection-oriented entropy-weighted ensemble algorithm is proposed for classifying hyperspectral remote sensing images. In particular, this paper presents a random projection matrix selection strategy based on the separable information of a single class able to project the features of a certain class of objects. The projection result is measured by the degree of separability, thereby obtaining the low-dimensional image with opt

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Park, Yongsung, and Peter Gerstoft. "Alternating projections-based gridless compressive beamforming with co-prime arrays." Journal of the Acoustical Society of America 152, no. 4 (2022): A143. http://dx.doi.org/10.1121/10.0015834.

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Direction-of-arrivals (DOAs) estimation, beamforming, retrieves the angles of several sources from the outputs of receiving a sensor array. Compressive beamforming is a sparse signal recovery approach and has shown superior performance on DOA estimation. To overcome the angular searching grid issue, gridless techniques have been proposed. Most methods require a uniform linear array and use standard convex solvers that are computationally expensive. We propose a gridless compressive beamformer based on alternating projections. This method estimates DOAs by projecting a solution matrix alternati

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Bharathi, V., K. Bala Krishna, and N. Srinivas. "Detecting Bugs in Software using Supervised Machine Learning Approaches." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 4602–7. http://dx.doi.org/10.22214/ijraset.2023.54487.

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Abstract: Software Flaw Projection (SFP) is an important issue in software development and maintenance process. Software flaws can cause significant problems for software development teams. So, projecting the software faults in earlier phase improves the software quality, reliability, efficiency and reduces the software cost. However, developing robust flaw projection model is a challenging task and many techniques have been proposed. Projecting the likelihood of flaws occurring in software can help developers prevent or mitigate their impact. This paper presents a software flaw projection mod

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YE, Tian-yu, Xin-xin NIU, Zhao-feng MA, and Yi-xian YANG. "Performance analysis of sign quantized projection." Journal of China Universities of Posts and Telecommunications 17, no. 1 (2010): 62–66. http://dx.doi.org/10.1016/s1005-8885(09)60425-8.

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Dumic, Emil, Anamaria Bjelopera, and Andreas Nüchter. "Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression." Sensors 22, no. 1 (2021): 197. http://dx.doi.org/10.3390/s22010197.

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In this paper we will present a new dynamic point cloud compression based on different projection types and bit depth, combined with the surface reconstruction algorithm and video compression for obtained geometry and texture maps. Texture maps have been compressed after creating Voronoi diagrams. Used video compression is specific for geometry (FFV1) and texture (H.265/HEVC). Decompressed point clouds are reconstructed using a Poisson surface reconstruction algorithm. Comparison with the original point clouds was performed using point-to-point and point-to-plane measures. Comprehensive experi

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Liu, Yong Shan, and Wei Jie Gu. "Research on Combinational Reasoning of Directional Relations Based on Double Projections Model in Three-Dimensional Space." Advanced Materials Research 186 (January 2011): 61–65. http://dx.doi.org/10.4028/www.scientific.net/amr.186.61.

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The xoy and xoz planes are divided into nine areas in three-dimensional space respectively by the MBR (Minimum Bounding Rectangle), which are produced by the reference objects’ projection to their planes. The intersecting situations between the projection of target objects and the two of reference objects are expressed by two 3×3 matrices. Then, a directional relations matrix model based on double projections is put forward. A combinational reasoning method is proposed by using the computational performance of matrices based on this model. Moreover, a combinational reasoning experiment is give

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Diao, Chen, Ai-Hua Zhang, and Bin Wang. "Spectral Clustering with Local Projection Distance Measurement." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/829514.

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Constructing a rational affinity matrix is crucial for spectral clustering. In this paper, a novel spectral clustering via local projection distance measure (LPDM) is proposed. In this method, the Local-Projection-Neighborhood (LPN) is defined, which is a region between a pair of data, and other data in the LPN are projected onto the straight line among the data pairs. Utilizing the Euclidean distance between projective points, the local spatial structure of data can be well detected to measure the similarity of objects. Then the affinity matrix can be obtained by using a new similarity measur

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Lukačević, Fanika, Niccolò Becattini, and Stanko Škec. "Engineering designers’ CAD performance when modelling from isometric and orthographic projections." Proceedings of the Design Society 4 (May 2024): 653–62. http://dx.doi.org/10.1017/pds.2024.68.

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AbstractThe presented study investigates differences in engineering designers' CAD performance when modelling from two types of projections in technical drawings – isometric and orthographic. The results revealed significant differences in the percentage of correctly replicated components' size and shape, indicating better CAD outcomes when generating CAD models from the orthographic projection. In addition, a comparison of duration, as well as the number and type of sketch entities, sketch relations, and CAD features, showed that CAD modelling processes were similar in both conditions.

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Poerio, Dominic V., and Steven D. Brown. "Dual-Domain Calibration Transfer Using Orthogonal Projection." Applied Spectroscopy 72, no. 3 (2017): 378–91. http://dx.doi.org/10.1177/0003702817724164.

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We report the use of dual-domain regression models, which were built utilizing a wavelet prism decomposition and paired with transfer by orthogonal projection, for the calibration transfer of near-infrared (NIR) spectra. The new method is based on obtaining specific frequency components for a spectrum via wavelet analysis, projecting the frequency components of the primary instrument onto the subspace orthogonal to the mean instrumental difference between spectra from the primary and the secondary instrument, and weighting each frequency component model according to the cross-validation error

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Foshchii, Petro, Valentin Kovshik, and Mariia Foshchii. "DEVELOPMENT OF COMPETITIVE STRATEGY FOR INDUSTRIAL ENTERPRISES BASED ON EXPECTED PERFORMANCE." Bulletin of the National Technical University "Kharkiv Polytechnic Institute" (economic sciences), no. 6 (December 17, 2023): 89–93. https://doi.org/10.20998/2519-4461.2023.6.89.

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The article explores the theoretical and practical principles of developing a competitive strategy for industrial enterprises based on expected performance effectiveness. It examines performance in projection representation, with the selection of direction depending on the purpose of use, and accordingly, different informational bases and indicators are applied and analyzed: market projection (evaluating performance through competitiveness indicators and market value), financial projection (analyzing profitability indicators, economic value added), cost projection (performance expressed in cos

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Benjamin, Prince Abraham, and Nithin Mohan Mohana Anitha. "Convective Heat Transfer Enhancement using Novel Twisted Tape-A Numerical Investigation." International Journal of Inventive Engineering and Sciences 10, no. 7 (2023): 1–8. http://dx.doi.org/10.35940/ijies.f4212.0710723.

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Convective heat transfer and pressure drop characteristics have been investigated numerically in a tube fitted with a twisted tape and a modified twisted tape. A novel geometry of the tape with lateral projection and without lateral projection is introduced for comparison. The results obtained from ordinary twisted tape are compared with those of the Modified twisted tape with lateral projection and modified twisted tape without lateral projection. The experiments reveal that the pressure drop is lower in the modified twisted tape without lateral projection than in the modified twisted tape wi

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Prince, Abraham Benjamin, and Mohan Mohana Anitha Nithin. "Convective Heat Transfer Enhancement using Novel Twisted Tape-A Numerical Investigation." International Journal of Inventive Engineering and Sciences (IJIES) 10, no. 7 (2023): 1–8. https://doi.org/10.35940/ijies.F4212.0710723.

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<strong>Abstract: </strong>Convective heat transfer and pressure drop characteristics have been investigated numerically in a tube fitted with a twisted tape and a modified twisted tape. A novel geometry of the tape with lateral projection and without lateral projection is introduced for comparison. The results obtained from ordinary twisted tape are compared with those of the Modified twisted tape with lateral projection and modified twisted tape without lateral projection. The experiments reveal that the pressure drop is lower in the modified twisted tape without lateral projection than in t

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Abid Noor, Ali O. "Affine Projection Algorithm for Speech Enhancement using Controlled Projection Order." Jurnal Kejuruteraan 32, no. 4 (2020): 723–28. http://dx.doi.org/10.17576/jkukm-2020-32(4)-23.

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This research presents a development of the affine projection algorithm (APA) in voice communication applications. A method of controlling the parameters of the APA is devised to improve the performance in cancelling various types of ambient noise that could possibly corrupt speech signals in voice communication systems. Indicators are used to identify the type of noise accompanying the target signal. Then the corrupted signal is processed in a noise a cancellation setup in such a way that three parameters of algorithm are changed according to the nature of the noise. The spreading of elements

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Kononov, Y., and D. Kononov. "Dependence of the Possible and Allowable Projection Error on the Projection Time Frame." Energy Systems Research, no. 1(13) (May 28, 2021): 5–8. http://dx.doi.org/10.38028/esr.2021.01.0001.

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This study addresses the issues of assessing and factoring in the effect of uncertainty growth on the possible performance of projections and their allowable errors. Relying on projects of nuclear power plants and combined cycle power plants as a case study, we assess the dependence of their economic performance indicators on possible changes in the conditions of their future operation in a given year. To assess the effect of the range and nature of input data uncertainty on the projections of the development of regional energy supply systems, we proposed a methodological toolkit that combines

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Jurik, A. G., L. C. Jensen, and J. Hansen. "Total Effective Radiation Dose from Spiral CT and Conventional Radiography of the Pelvis with Regard to Fracture Classification." Acta Radiologica 37, no. 3P2 (1996): 651–54. http://dx.doi.org/10.1177/02841851960373p246.

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Purpose: In most departments CT has replaced special radiographic projections with regard to classification of pelvic fractures. This change of procedure calls for analysis in terms of dosimetry. Methods: The total effective radiation doses given with spiral CT and conventional 5 projection radiography were determined according to ICRP 60 by measuring organ doses with an anthropomorphic Rando Alderson phantom packed with thermoluminescence dosimeters. For comparison, easily obtainable calculated effective doses were also determined, based on the CT dose index (CTDI), measured free-in-air and a

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Teeter, Lawrence, and Xiaoping Zhou. "Projecting Timber Inventory at the Product Level." Forest Science 45, no. 2 (1999): 226–31. http://dx.doi.org/10.1093/forestscience/45.2.226.

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Abstract Current timber inventory projections generally lack information on inventory by product classes. Most models available for inventory projection and linked to supply analyses are limited to projecting aggregate softwood and hardwood. The research presented describes a methodology for distributing the volume on each FIA (USDA Forest Service Forest Inventory and Analysis) survey plot to product classes given a type characterization, volume, and average dbh (diameter at breast height, 1.37 m above average ground level) for the plot. A multinomial logit model was developed to estimate sets

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Benk, Stefan. "SAB-RoundView-Problematik der stereoskopischen Zylinderprojektion." Facta universitatis - series: Electronics and Energetics 15, no. 3 (2002): 333–40. http://dx.doi.org/10.2298/fuee0203333b.

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Stereoscopic projections and 360?-cylinderprojections axe known and nothing special. But both together in one installation is new and will cause some physical problems. But in relation with the capability of the human eyes these problems can be solved. In this paper a new way of projection will be shown that also can reduce the performance request on a virtual reality System.

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Siswoyo, Agus. "Developing A Robot to Improve The Accuracy of Ring Retrieval and Throwing at The ABU Robocon Indonesia Robot Competition." International Journal of Applied Sciences and Smart Technologies 5, no. 2 (2023): 171–90. http://dx.doi.org/10.24071/ijasst.v5i2.6989.

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This article outlines the creation and application of a technologically improved robot designed to amplify the precision and effectiveness of ring retrieval and projection tasks in the ABU Robocon Indonesia Robot Challenge. The ABU Robocon competition is an annual event that tasks teams with crafting robots capable of accomplishing specific assignments under a predetermined time limit. The ring retrieval and projection task, historically known for its precision requirements, has proven to be quite demanding. Our strategy entailed the incorporation of cutting-edge technologies into the robot's

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Walley, Jonathan. "Materiality and Meaning in Recent Projection Performance." Velvet Light Trap 70 (September 2012): 18–34. http://dx.doi.org/10.7560/vlt7003.

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Shirahashi, A., H. Aihara, R. Itoh, et al. "Performance of the TOPAZ time projection chamber." IEEE Transactions on Nuclear Science 35, no. 1 (1988): 414–18. http://dx.doi.org/10.1109/23.12755.

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Walley, Jonathan. "Materiality and Meaning in Recent Projection Performance." Velvet Light Trap 70, no. 1 (2012): 18–34. http://dx.doi.org/10.1353/vlt.2012.0017.

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Dong Li, Gang Yang, and D. L. Schilling. "Error rate performance of the projection code." IEEE Transactions on Communications 44, no. 4 (1996): 413–15. http://dx.doi.org/10.1109/26.489083.

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Lippmann, Christian. "Performance of the ALICE Time Projection Chamber." Physics Procedia 37 (2012): 434–41. http://dx.doi.org/10.1016/j.phpro.2012.02.390.

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Atwood, W. B., T. Barczewski, L. A. T. Bauerdick, et al. "Performance of the ALEPH Time Projection Chamber." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 306, no. 3 (1991): 446–58. http://dx.doi.org/10.1016/0168-9002(91)90038-r.

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Wen, Cheng, Zhengda Chen, Zhuoxi Chen, et al. "Improvement of the Geometric Accuracy for Microstructures by Projection Stereolithography Additive Manufacturing." Crystals 12, no. 6 (2022): 819. http://dx.doi.org/10.3390/cryst12060819.

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Projection stereolithography creates 3D structures by projecting patterns onto the surface of a photosensitive material layer by layer. Benefiting from high efficiency and resolution, projection stereolithography 3D printing has been widely used to fabricate microstructures. To improve the geometric accuracy of projection stereolithography 3D printing for microstructures, a compensation method based on structure optimization is proposed according to mathematical analysis and simulation tests. The performance of the proposed compensation method is verified both by the simulation and the 3D prin

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Li, Jackie, Maggie Lee, and Simon Guthrie. "A DOUBLE COMMON FACTOR MODEL FOR MORTALITY PROJECTION USING BEST-PERFORMANCE MORTALITY RATES AS REFERENCE." ASTIN Bulletin 51, no. 2 (2021): 349–74. http://dx.doi.org/10.1017/asb.2020.44.

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AbstractWe construct a double common factor model for projecting the mortality of a population using as a reference the minimum death rate at each age among a large number of countries. In particular, the female and male minimum death rates, described as best-performance or best-practice rates, are first modelled by a common factor model structure with both common and sex-specific parameters. The differences between the death rates of the population under study and the best-performance rates are then modelled by another common factor model structure. An important result of using our proposed m

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Dugalić, Sretenka. "Social investment image projection." Sport — nauka i praksa = Sport — Science And Practice 9, no. 2 (2019): 59–75. http://dx.doi.org/10.5937/snp1901059d.

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The achievement of a sports result requires infrastructure and capital to build, as well as maintenance. The sporting event and performance grow into the image (enriched sports product) when the capacity of the venues provide economically sustainable concept. The survey shows that: 1 / visitors’ perception and the tradition affect attendance; 2 / marketing–management is projecting such sports-service processes that attract audiences, sponsors and the media, and through its image become attractive to the venue staff, and the society as a whole. The aim is to highlight the importance of valorisa

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