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Journal articles on the topic 'Post-processing techniques'

Author: Grafiati
Published: 3 May 2025

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1

Jiru, Filip. "Introduction to post-processing techniques." European Journal of Radiology 67, no. 2 (August 2008): 202–17. http://dx.doi.org/10.1016/j.ejrad.2008.03.005.

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2

Van Schaeybroeck, B., and S. Vannitsem. "Post-processing through linear regression." Nonlinear Processes in Geophysics 18, no. 2 (March 7, 2011): 147–60. http://dx.doi.org/10.5194/npg-18-147-2011.

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Abstract. Various post-processing techniques are compared for both deterministic and ensemble forecasts, all based on linear regression between forecast data and observations. In order to evaluate the quality of the regression methods, three criteria are proposed, related to the effective correction of forecast error, the optimal variability of the corrected forecast and multicollinearity. The regression schemes under consideration include the ordinary least-square (OLS) method, a new time-dependent Tikhonov regularization (TDTR) method, the total least-square method, a new geometric-mean regression (GM), a recently introduced error-in-variables (EVMOS) method and, finally, a "best member" OLS method. The advantages and drawbacks of each method are clarified. These techniques are applied in the context of the 63 Lorenz system, whose model version is affected by both initial condition and model errors. For short forecast lead times, the number and choice of predictors plays an important role. Contrarily to the other techniques, GM degrades when the number of predictors increases. At intermediate lead times, linear regression is unable to provide corrections to the forecast and can sometimes degrade the performance (GM and the best member OLS with noise). At long lead times the regression schemes (EVMOS, TDTR) which yield the correct variability and the largest correlation between ensemble error and spread, should be preferred.
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Ulbin, M., and T. K. Hellen. "Post‐processing techniques for assessing element distortion errors." Engineering Computations 6, no. 1 (January 1989): 35–43. http://dx.doi.org/10.1108/eb023757.

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Kaur, Amanpreet, Jagroop Singh Sidhu, and Jaskarn Singh Bhullar. "Analysis of Post-processing Techniques for Compressed Images." International Journal of Applied Research on Information Technology and Computing 8, no. 3 (2017): 270. http://dx.doi.org/10.5958/0975-8089.2017.00023.9.

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Chen, Hongmei, Lanyu Wang, Jian Wang, Jiashen Li, Honghui Deng, Xu Meng, and Yongsheng Yin. "Digital Post-processing Techniques for Time-interleaved ADCs." IEIE Transactions on Smart Processing & Computing 11, no. 6 (December 31, 2022): 462–73. http://dx.doi.org/10.5573/ieiespc.2022.11.6.462.

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Wang, Hao, and Jerry Ying Hsi Fuh. "Metal Additive Manufacturing and Its Post-Processing Techniques." Journal of Manufacturing and Materials Processing 7, no. 1 (February 10, 2023): 47. http://dx.doi.org/10.3390/jmmp7010047.

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Karakurt, Ilbey, and Liwei Lin. "3D printing technologies: techniques, materials, and post-processing." Current Opinion in Chemical Engineering 28 (June 2020): 134–43. http://dx.doi.org/10.1016/j.coche.2020.04.001.

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Tomar, Divya, and Sonali Agarwal. "A Survey on Pre-processing and Post-processing Techniques in Data Mining." International Journal of Database Theory and Application 7, no. 4 (August 31, 2014): 99–128. http://dx.doi.org/10.14257/ijdta.2014.7.4.09.

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Nguyen, Thi Tuyet Hai, Adam Jatowt, Mickael Coustaty, and Antoine Doucet. "Survey of Post-OCR Processing Approaches." ACM Computing Surveys 54, no. 6 (July 2021): 1–37. http://dx.doi.org/10.1145/3453476.

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Optical character recognition (OCR) is one of the most popular techniques used for converting printed documents into machine-readable ones. While OCR engines can do well with modern text, their performance is unfortunately significantly reduced on historical materials. Additionally, many texts have already been processed by various out-of-date digitisation techniques. As a consequence, digitised texts are noisy and need to be post-corrected. This article clarifies the importance of enhancing quality of OCR results by studying their effects on information retrieval and natural language processing applications. We then define the post-OCR processing problem, illustrate its typical pipeline, and review the state-of-the-art post-OCR processing approaches. Evaluation metrics, accessible datasets, language resources, and useful toolkits are also reported. Furthermore, the work identifies the current trend and outlines some research directions of this field.
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Yu, Ji Young, Piyanan Chuesiang, Gye Hwa Shin, and Hyun Jin Park. "Post-Processing Techniques for the Improvement of Liposome Stability." Pharmaceutics 13, no. 7 (July 5, 2021): 1023. http://dx.doi.org/10.3390/pharmaceutics13071023.

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Liposomes have been utilized as a drug delivery system to increase the bioavailability of drugs and to control the rate of drug release at the target site of action. However, the occurrence of self-aggregation, coalescence, flocculation and the precipitation of aqueous liposomes during formulation or storage can cause degradation of the vesicle structure, leading to the decomposition of liposomes. To increase the stability of liposomes, post-processing techniques have been applied as an additional process to liposomes after formulation to remove water and generate dry liposome particles with a higher stability and greater accessibility for drug administration in comparison with aqueous liposomes. This review covers the effect of these techniques including freeze drying, spray drying and spray freeze drying on the stability, physicochemical properties and drug encapsulation efficiency of dry liposomes. The parameters affecting the properties of liposomes during the drying process are also highlighted in this review. In addition, the impact of using a protective agent to overcome such limitations of each process is thoroughly discussed through various studies.
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Englander, Ongi, Dane Christensen, Jongbaeg Kim, and Liwei Lin. "Post-processing techniques for locally self-assembled silicon nanowires." Sensors and Actuators A: Physical 135, no. 1 (March 2007): 10–15. http://dx.doi.org/10.1016/j.sna.2006.08.004.

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Stahl, Annette, Trond Kvamsdal, and Christian Schellewald. "Post-processing and visualization techniques for isogeometric analysis results." Computer Methods in Applied Mechanics and Engineering 316 (April 2017): 880–943. http://dx.doi.org/10.1016/j.cma.2016.10.040.

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13

Yazdani, A. A., A. Gakwaya, and G. Dhatt. "On the post-processing techniques for elastoplastic axisymmetrical problems." Computational Mechanics 24, no. 1 (July 22, 1999): 14–28. http://dx.doi.org/10.1007/s004660050434.

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14

McConnell, James. "(320) Photographic and Post-processing Techniques for Horticultural Images." HortScience 41, no. 4 (July 2006): 1045A—1045. http://dx.doi.org/10.21273/hortsci.41.4.1045a.

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Numerous shooting and post-production techniques can be used to improve the quality of images used in horticultural publications. Certain lenses, lens attachments, and camera accessories are useful for enabling greater success in photographing plants. Small diffusers and reflectors allow the shooting of close-ups in the field, even when the sun is directly overhead. Shift lenses can be used to photograph trees at a closer distance without the extreme distortion of wide focal length lenses. Stitching of multiple images to produce panoramic shots can produce images with increased resolution, less distortion, and without the need for a wide-angle lens. Experiences with digital asset management management and post-production workflows are also presented.
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Coutinho, A. L. G. A., C. M. Dias, J. L. D. Alves, L. Landau, A. F. D. Loula, S. M. C. Malta, R. G. S. Castro, and E. L. M. Garcia. "Stabilized methods and post-processing techniques for miscible displacements." Computer Methods in Applied Mechanics and Engineering 193, no. 15-16 (April 2004): 1421–36. http://dx.doi.org/10.1016/j.cma.2003.12.031.

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Hedley, Mark, and Hong Yan. "Motion artifact suppression: A review of post-processing techniques." Magnetic Resonance Imaging 10, no. 4 (January 1992): 627–35. http://dx.doi.org/10.1016/0730-725x(92)90014-q.

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17

Dabwan, Abdulmajeed, Wadea Ameen, Khaled N. Alqahtani, Husam Kaid, Abdulrahman Al-Ahmari, and Murtadha Aldoukhi. "Post-Processing Techniques of Additively Manufactured Parts: A Review." Transactions of FAMENA 49, no. 1 (2025): 25–50. https://doi.org/10.21278/tof.491054023.

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18

Mishra, Prithu, Shruti Sood, Mayank Pandit, and Pradeep Khanna. "Additive Manufacturing: Post Processing Methods and Challenges." Advanced Engineering Forum 39 (February 2021): 21–42. http://dx.doi.org/10.4028/www.scientific.net/aef.39.21.

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Additive Manufacturing (AM) has shown great potential for efficient realization of complicated microdevices fabricated with higher freedom of design and made from a wide variety of materials suiting to their specific target functionalities. Capability of generation of components with reduced weights, higher part consolidation, greater customization offered along with minimal waste generation are its advantages over conventional manufacturing processes. The AM built parts, however, need to undergo relevant post processing techniques to render them fit for their end product application. The paper attempts to classify the post processing techniques and emphasize their applicability to specific AM methods, generalized procedure as well as the recent improvements undergone. The post processing techniques have been categorised as methods for support material removal, surface texture improvements, thermal and non-thermal post processing and aesthetic improvements. The main challenges to the expansion of additive manufacturing have been discussed which highlight the future, scope of improvement and research required in the area of appropriate tool path development and product quality with regards to surface roughness, resolution and porosity levels in the built part.
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Rauch, Matthieu, and Jean-Yves Hascoet. "A comparison of post-processing techniques for Additive Manufacturing components." Procedia CIRP 108 (2022): 442–47. http://dx.doi.org/10.1016/j.procir.2022.03.069.

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HWANG, Yu Min, Sun Yui LEE, Isaac SIM, and Jin Young KIM. "Positioning Error Reduction Techniques for Precision Navigation by Post-Processing." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E100.A, no. 10 (2017): 2158–61. http://dx.doi.org/10.1587/transfun.e100.a.2158.

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Behrenbruch, C. P., S. Petroudi, S. Bond, J. D. Declerck, F. J. Leong, and J. M. Brady. "Image filtering techniques for medical image post-processing: an overview." British Journal of Radiology 77, suppl_2 (December 2004): S126—S132. http://dx.doi.org/10.1259/bjr/17464219.

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22

Bradley, Robert S., and Philip J. Withers. "Post-processing techniques for making reliable measurements from curve-skeletons." Computers in Biology and Medicine 72 (May 2016): 120–31. http://dx.doi.org/10.1016/j.compbiomed.2016.03.008.

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23

Pereira, André Maués Brabo, and Marcos Aurélio Marques Noronha. "Post-processing and visualization techniques in 2D boundary element analysis." Engineering with Computers 26, no. 1 (September 1, 2009): 35–47. http://dx.doi.org/10.1007/s00366-009-0134-5.

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24

BRĂILEANU, Patricia-Isabela, Sorin CĂNĂNĂU, Emilia BĂLAN, and Nicoleta-Elisabeta PASCU. "RESEARCHING AND TRENDS IN ADDITIVE MANUFACTURING POST-PROCESSING." Annals of the Academy of Romanian Scientists Series on Engineering Sciences 15, no. 2 (December 30, 2023): 69–82. http://dx.doi.org/10.56082/annalsarscieng.2023.2.69.

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In the last decade, additive manufacturing has become increasingly popular in various industries, ranging from the production of aerospace and medical parts to jewelry and art design. However, even with state-of-the-art technologies, additive manufactured parts may require post-processing to meet the necessary quality, finish, and durability standards. This is why research and trends in post-processing of additive manufacturing are becoming increasingly important in the industry. This paper aims to explore various techniques and methods of post-processing, as well as current trends in this continuously evolving field. There are exposing the advantages and disadvantages of each technology, as well as the main post-processing techniques for SLA, SLS, and FDM printing technologies, providing some examples and the results obtained depending on the technology used and the material from which the objects were printed.
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Muqmiroh, Lailatul, Shesha Rahma Anastasya, Amillia Kartika Sari, Anggraini Dwi Sensusiati, and Pramono Pramono. "ANALYSIS OF POST PROCESSING TECHNIQUE CT RENAL ANGIOGRAPHY FOR IDENTIFICATION OF VARIATIONS OF RENAL ARTERIES IN KIDNEY DONOR PREPARATION: LITERATURE REVIEW." Proceedings of the 1st International Conference on Social Science (ICSS) 2, no. 1 (February 1, 2023): 21–28. http://dx.doi.org/10.59188/icss.v2i1.80.

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Visualization of renal artery variations is a prerequisite for kidney donors. Polar variations and number of renal arteries were identified using several prost processing techniques Renal CT Angiography. Objective : To identify variations in the number and polarity of the renal arteries using MPR, MIP, CPR and 3D VR based on a literature review. Analysis with a literature review approach was carried out using secondary data sources from 2012-2022 scientific publication journal articles by comparing the number and polarity of the renal arteries from the MPR, MIP, CPR and 3D VR post-processing techniques on CT renal angiography. MIP and 3D VR are the optimal combination of post-processing techniques for identification of the number and polarity of the renal arteries. The combination of MIP and 3D VR post processing techniques is the optimal post processing technique in depicting the number and polar variations of the renal arteries
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., Nilofer, Anil Kumar Singh, Rakesh Kumar, Devendra Kumar, Parminder Kaur, Anjali Singh, Karuna Shanker, and Saudan Singh. "Optimization of primary post-harvest processing techniques for Cassia angustifolia Vahl." Journal of Pharmacognosy and Phytochemistry 10, no. 5 (September 1, 2021): 197–204. http://dx.doi.org/10.22271/phyto.2021.v10.i5c.14197.

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Gupta, Priyanka, Vijilius Helena Raj, Geethu Lal, Manish Gupta, Pradeep Kumar Chandra, Hayidr Muhamed, and Ashish Parmar. "A Comparative Analysis of Post-Disaster Analysis Using Image Processing Techniques." E3S Web of Conferences 529 (2024): 03017. http://dx.doi.org/10.1051/e3sconf/202452903017.

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Post-disaster recovery is a multifaceted system essential for rebuilding communities and infrastructure. Despite its importance, many limitations obstruct powerful recuperation, main to tremendous loss of life and monetary assets. This paper synthesizes varied approaches in the direction of sustainable restoration, highlighting the increasing reliance on technology for disaster management. Image processing strategies, pivotal in addressing these demanding situations, are reviewed across studies. Those strategies range from SLIC segmentation and Random forest classification to advanced deep learning models together with U-net and YOLOv8, machine learning algorithms like SVM, and image category methodologies along with bi-temporal analysis. Comparative evaluation reveals that those strategies presents promising consequences, with accuracies starting from 75% to over 94%. The paper gives a framework for understanding the role of various image processing strategies in improving disaster control strategies, emphasizing their implications for future studies and application.
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Enache, Adriana, Joachim Wallisch, Jeroen van Beeck, Patrick Hendrick, and Richard Hann. "Ice Accretion: Image Post-Processing Measurement Techniques for 2D Ice Shapes." Aerospace 10, no. 5 (May 13, 2023): 451. http://dx.doi.org/10.3390/aerospace10050451.

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Ice accretion poses substantial safety hazards for the manned and unmanned aviation industries. Its study is essential for icing events risk assessment and for the development of efficient ice protection systems. The existing ice accretion measurement techniques—casting, molding, and laser-scanning—are time-consuming, sometimes cumbersome to use, and highly expensive, while hand tracing is inexpensive, but has lower accuracy and time-consuming post-processing. This work presents two low-cost, fast, and easy-to-use measurement techniques for 2D ice accretion profiles. Both employ algorithms of automatic ice shape detection, one based on unmediated image-processing, another based on the processing of manual ice tracings. The techniques are applied to ice accretion experiments conducted in an icing wind tunnel at low Reynolds numbers, and their results are validated against ice thickness caliper measurements. A comparison of the results shows that both techniques accurately measure the leading-edge ice thickness and the 2D shape of the ice accretion profiles. One technique is faster, with higher measurement accuracy, but produces interrupted-line 2D ice profiles and requires good lighting conditions, while the other generates continuous-line 2D profiles and has no application restriction, but it is slower, with lower accuracy. A discussion is conducted, aiming to help one determine the best applications for each ice accretion measurement technique presented.
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Syrlybayev, Daniyar, Aidana Seisekulova, Didier Talamona, and Asma Perveen. "The Post-Processing of Additive Manufactured Polymeric and Metallic Parts." Journal of Manufacturing and Materials Processing 6, no. 5 (October 4, 2022): 116. http://dx.doi.org/10.3390/jmmp6050116.

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The traditional manufacturing industry has been revolutionized with the introduction of additive manufacturing which is based on layer-by-layer manufacturing. Due to these tool-free techniques, complex shape manufacturing becomes much more convenient in comparison to traditional machining. However, additive manufacturing comes with its inherent process characteristics of high surface roughness, which in turn effect fatigue strength as well as residual stresses. Therefore, in this paper, common post-processing techniques for additive manufactured (AM) parts were examined. The main objective was to analyze the finishing processes in terms of their ability to finish complicated surfaces and their performance were expressed as average surface roughness (Sa and Ra). The techniques were divided according to the materials they applied to and the material removal mechanism. It was found that chemical finishing significantly reduces surface roughness and can be used to finish parts with complicated geometry. Laser finishing, on the other hand, cannot be used to finish intricate internal surfaces. Among the mechanical abrasion methods, abrasive flow finishing shows optimum results in terms of its ability to finish complicated freeform cavities with improved accuracy for both polymer and metal parts. However, it was found that, in general, most mechanical abrasion processes lack the ability to finish complex parts. Moreover, although most of post-processing methods are conducted using single finishing processes, AM parts can be finished with hybrid successive processes to reap the benefits of different post-processing techniques and overcome the limitation of individual process.
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Hassanpour, Mana, Poom Narongdej, Nicolas Alterman, Sara Moghtadernejad, and Ehsan Barjasteh. "Effects of Post-Processing Parameters on 3D-Printed Dental Appliances: A Review." Polymers 16, no. 19 (October 1, 2024): 2795. http://dx.doi.org/10.3390/polym16192795.

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In recent years, additive manufacturing (AM) has been recognized as a transformative force in the dental industry, with the ability to address escalating demand, expedite production timelines, and reduce labor-intensive processes. Despite the proliferation of three-dimensional printing technologies in dentistry, the absence of well-established post-processing protocols has posed formidable challenges. This comprehensive review paper underscores the critical importance of precision in post-processing techniques for ensuring the acquisition of vital properties, encompassing mechanical strength, biocompatibility, dimensional accuracy, durability, stability, and aesthetic refinement in 3D-printed dental devices. Given that digital light processing (DLP) is the predominant 3D printing technology in dentistry, the main post-processing techniques and effects discussed in this review primarily apply to DLP printing. The four sequential stages of post-processing support removal, washing, secondary polymerization, and surface treatments are systematically navigated, with each phase requiring meticulous evaluation and parameter determination to attain optimal outcomes. From the careful selection of support removal tools to the consideration of solvent choice, washing methodology, and post-curing parameters, this review provides a comprehensive guide for practitioners and researchers. Additionally, the customization of post-processing approaches to suit the distinct characteristics of different resin materials is highlighted. A comprehensive understanding of post-processing techniques is offered, setting the stage for informed decision-making and guiding future research endeavors in the realm of dental additive manufacturing.
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Joshi, Nikhil, Hemant Ghate, and Sameer Padhye. "Digital image post processing techniques for taxonomic publications with reference to insects." Journal of Threatened Taxa 12, no. 1 (January 26, 2020): 15173–80. http://dx.doi.org/10.11609/jott.5041.12.1.15173-15180.

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There exists substantial literature for capturing digital images of insect specimens for taxonomy purposes but very few papers are available on post processing of these images. We present a few techniques for editing digital images of insects using Adobe® Photoshop® which can be performed in a relatively short amount of time. The results clearly show that techniques using a combination of options like Curves, Dodge/Burn, Hue/Saturation and Lab Color mode in the software, enhance the quality of the original image without changing any taxonomic information. These methods applied in different combinations can be used for taxonomy of any insect taxon. We also caution the readers of the abuse of such techniques in context of taxonomy.
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32

Mahmood, Muhammad Arif, Diana Chioibasu, Asif Ur Rehman, Sabin Mihai, and Andrei C. Popescu. "Post-Processing Techniques to Enhance the Quality of Metallic Parts Produced by Additive Manufacturing." Metals 12, no. 1 (January 4, 2022): 77. http://dx.doi.org/10.3390/met12010077.

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Additive manufacturing (AM) processes can produce three-dimensional (3D) near-net-shape parts based on computer-aided design (CAD) models. Compared to traditional manufacturing processes, AM processes can generate parts with intricate geometries, operational flexibility and reduced manufacturing time, thus saving time and money. On the other hand, AM processes face complex issues, including poor surface finish, unwanted microstructure phases, defects, wear tracks, reduced corrosion resistance and reduced fatigue life. These problems prevent AM parts from real-time operational applications. Post-processing techniques, including laser shock peening, laser polishing, conventional machining methods and thermal processes, are usually applied to resolve these issues. These processes have proved their capability to enhance the surface characteristics and physical and mechanical properties. In this study, various post-processing techniques and their implementations have been compiled. The effect of post-processing techniques on additively manufactured parts has been discussed. It was found that laser shock peening (LSP) can cause severe strain rate generation, especially in thinner components. LSP can control the surface regularities and local grain refinement, thus elevating the hardness value. Laser polishing (LP) can reduce surface roughness up to 95% and increase hardness, collectively, compared to the as-built parts. Conventional machining processes enhance surface quality; however, their influence on hardness has not been proved yet. Thermal post-processing techniques are applied to eliminate porosity up to 99.99%, increase corrosion resistance, and finally, the mechanical properties’ elevation. For future perspectives, to prescribe a particular post-processing technique for specific defects, standardization is necessary. This study provides a detailed overview of the post-processing techniques applied to enhance the mechanical and physical properties of AM-ed parts. A particular method can be chosen based on one’s requirements.
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B. K, Nagesha, Vinodh K, Amit Kumar Tigga, Sanjay Barad, and Anand Kumar S. "Influence of post-processing techniques on residual stresses of SLM processed HPNGV." Journal of Manufacturing Processes 66 (June 2021): 189–97. http://dx.doi.org/10.1016/j.jmapro.2021.04.020.

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Harichandana, M., V. Sowmya, V. V. Sajithvariyar, and R. Sivanpillai. "COMPARISON OF IMAGE ENHANCEMENT TECHNIQUES FOR RAPID PROCESSING OF POST FLOOD IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-M-2-2020 (November 17, 2020): 45–50. http://dx.doi.org/10.5194/isprs-archives-xliv-m-2-2020-45-2020.

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Abstract. Satellite images are widely used for assessing the areal extent of flooded areas. However, presence of clouds and shadow limit the utility of these images. Numerous digital algorithms are available for enhancing such images and highlighting areas of interest. These algorithms range from simple to complex, and the time required to process these images also varies considerably. For disaster response, it is important to select an algorithm that can enhance the quality of the images in relatively short time. This study compared the relative performance of five traditional (Histogram Equalization, Local Histogram Equalization, Contrast Limited Adaptive Histogram Equalization, Gamma Correction, and Linear Contrast Stretch) algorithms for enhancing post-flood satellite images. Flood images with different levels of clouds and shadows were enhanced and output generated were evaluated in terms of processing time and quality as measured by Blind/Reference less Image Spatial Quality Evaluator (BRISQUE), a no-reference image quality metric. Findings from this study will provide valuable information to image analysts for selecting a suitable algorithm for rapidly processing post-flood satellite images.
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YUN Jiwon, KO Seongyeon, and 강희조. "A phonetic study of Nanai vowels: Using automated post-transcriptional processing techniques." ALTAI HAKPO ll, no. 26 (June 2016): 29–44. http://dx.doi.org/10.15816/ask.2016..26.003.

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Neamprem, Khomsan, and Hideaki Kaneko. "Acceleration techniques by post-processing of numerical solutions of the Hammerstein equation." Journal of Integral Equations and Applications 23, no. 4 (December 2011): 565–95. http://dx.doi.org/10.1216/jie-2011-23-4-565.

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Zhao, Jing, Guopeng Liu, Rongkang Li, and Penghua Mu. "Influence of Post-Processing Techniques on Random Number Generation Using Chaotic Nanolasers." Electronics 13, no. 14 (July 11, 2024): 2712. http://dx.doi.org/10.3390/electronics13142712.

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In this paper, we propose using a chaotic system composed of nanolasers (NLs) as a physical entropy source. Combined with post-processing technologies, this system can produce high-quality physical random number sequences. We investigated the parameter range for achieving time-delay signature (TDS) concealment in the chaotic system. This study demonstrates that NLs exhibit noticeable TDS only under optical feedback. As mutual injection strength between the master NLs (MNLs) increases, the TDS of the MNLs is gradually suppressed until they are completely concealed. Compared to MNLs, the slave NL (SNL) exhibits better TDS suppression performance. Additionally, we investigated the chaotic and highly unpredictable regions of the SNL, demonstrating that high-quality chaotic signals can be produced over a wide range of parameters. Using TDS hidden and highly unpredictable chaotic signals as the source of random entropy, the effects of different post-processing techniques on random number extraction were compared. The results indicate that effective post-processing can enhance the unpredictability of the random sequence. This study successfully utilized NLs for random number generation, showcasing the potential and application prospects of NLs in the field of random numbers.
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Cui, Fengzhi, Jianqiu Wang, Longhai Jin, Tingting Gong, Bo Li, Nannan Xu, Jianhua Liu, Qinghai Yuan, and Lei Wang. "Applying post-processing techniques of computed tomography imaging in diagnosing aortic dissection." Journal of Physics: Conference Series 1486 (April 2020): 072027. http://dx.doi.org/10.1088/1742-6596/1486/7/072027.

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Chae, S., and Kyungkoo Jun. "Automatic Coin Calculation System using Circular Hough Transform and Post-processing Techniques." Journal of Korea Multimedia Society 17, no. 4 (April 30, 2014): 413–19. http://dx.doi.org/10.9717/kmms.2014.17.4.413.

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Bakhtiaridoost, Somayyeh, Hamidreza Habibiyan, and Hassan Ghafoorifard. "Detection, manipulation and post processing of circulating tumor cells using optical techniques." Modern Physics Letters B 29, Supplement 1 (December 2015): 1530010. http://dx.doi.org/10.1142/s0217984915300100.

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Circulating tumor cells (CTCs) are malignant cells that are derived from a solid tumor in the metastasis stage and are shed into the blood stream. These cells hold great promise to be used as liquid biopsy that is less aggressive than traditional biopsy. Recently, detection and enumeration of these cells has received ever-increasing attention from researchers as a way of early detection of cancer metastasis, determining the effectiveness of treatment and studying the mechanism of formation of secondary tumors. CTCs are found in blood at low concentration, which is a major limitation of isolation and detection of these cells. Over the last few years, multifarious research studies have been conducted on accurate isolation and detection and post processing of CTCs. Among all the proposed systems, microfluidic systems seem to be more attractive for researchers due to their numerous advantages. On the other hand, recent developments in optical methods have made the possibility of cellular studies at single-cell level. Thus, accuracy and efficiency of separation, detection and manipulation of CTCs can be improved using optical techniques. In this review, we describe optical methods that have been used for CTC detection, manipulation and post processing.
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41

Dias, C. M., S. M. C. Malta, A. L. G. A. Coutinho, and A. F. D. Loula. "Reduced integration post-processing techniques for Darcy's velocity recovery in bilinear quadrilaterals." International Journal for Numerical Methods in Engineering 72, no. 1 (2007): 95–110. http://dx.doi.org/10.1002/nme.2014.

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Evers, M., A. Thiele, H. Hammer, and S. Hinz. "PSDEFOPAT – TOWARDS AUTOMATIC MODEL BASED PSI POST-PROCESSING." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (May 17, 2022): 107–14. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-107-2022.

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Abstract. The deformation of the surface of the earth is triggered by numerous naturally occurring and artificial processes such as global isostatic adjustment, aseismic and coseismic movement, varying amounts of groundwater or gas stored underground, and soil consolidation due to urbanization. Monitoring these surface deformations is essential to understand the underlying processes and provide authorities and the public with hazard assessments. Remote sensing techniques, such as Persistent Scatterer Interferometry (PSI), have the capability of mapping these deformations. Besides a spatial analysis of the deformation patterns, PSI also provides information on their temporal evolution. Post-processing strategies to analyze the displacement time series have gained interest in recent years. This paper presents our PSI post-processing strategy, which incorporates different deformation models and automatically chooses the best-fitting one based on statistical tests.
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Liu, Ying, Fan Xie, Jie Liu, and Jin Cheng Wang. "The NC Machining Post-Processing Technology Based on UG." Advanced Materials Research 753-755 (August 2013): 1254–57. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.1254.

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Post-processing technology is the key to CNC automatic programming technology and an important module of the CAD / CAM system. Post-processing technology converts the NC program that is produced by the CNC automatic programming tool into the file that can be identified by CNC system. Moreover, the generated tool path files must match with the CNC system. Post-processing techniques and UG software are briefly introduced. Using them, a post-processor for FANUC CNC systems is created. The program that generated by the special processor is contrasted with the general processor. The results illustrat that using the dedicated post-processor in engineering applications can improve programming efficiency and processing reliability.
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Taillardat, Maxime, and Olivier Mestre. "From research to applications – examples of operational ensemble post-processing in France using machine learning." Nonlinear Processes in Geophysics 27, no. 2 (May 29, 2020): 329–47. http://dx.doi.org/10.5194/npg-27-329-2020.

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Abstract. Statistical post-processing of ensemble forecasts, from simple linear regressions to more sophisticated techniques, is now a well-known procedure for correcting biased and poorly dispersed ensemble weather predictions. However, practical applications in national weather services are still in their infancy compared to deterministic post-processing. This paper presents two different applications of ensemble post-processing using machine learning at an industrial scale. The first is a station-based post-processing of surface temperature and subsequent interpolation to a grid in a medium-resolution ensemble system. The second is a gridded post-processing of hourly rainfall amounts in a high-resolution ensemble prediction system. The techniques used rely on quantile regression forests (QRFs) and ensemble copula coupling (ECC), chosen for their robustness and simplicity of training regardless of the variable subject to calibration. Moreover, some variants of classical techniques used, such as QRF and ECC, were developed in order to adjust to operational constraints. A forecast anomaly-based QRF is used for temperature for a better prediction of cold and heat waves. A variant of ECC for hourly rainfall was built, accounting for more realistic longer rainfall accumulations. We show that both forecast quality and forecast value are improved compared to the raw ensemble. Finally, comments about model size and computation time are made.
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Ross, Amber, Craig D. Smith, and Alan Barr. "An improved post-processing technique for automatic precipitation gauge time series." Atmospheric Measurement Techniques 13, no. 6 (June 5, 2020): 2979–94. http://dx.doi.org/10.5194/amt-13-2979-2020.

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Abstract. The unconditioned data retrieved from accumulating automated weighing precipitation gauges are inherently noisy due to the sensitivity of the instruments to mechanical and electrical interference. This noise, combined with diurnal oscillations and signal drift from evaporation of the bucket contents, can make accurate precipitation estimates challenging. Relative to rainfall, errors in the measurement of solid precipitation are exacerbated because the lower accumulation rates are more impacted by measurement noise. Precipitation gauge measurement post-processing techniques are used by Environment and Climate Change Canada in research and operational monitoring to filter cumulative precipitation time series derived from high-frequency, bucket-weight measurements. Four techniques are described and tested here: (1) the operational 15 min filter (O15), (2) the neutral aggregating filter (NAF), (3) the supervised neutral aggregating filter (NAF-S), and (4) the segmented neutral aggregating filter (NAF-SEG). Inherent biases and errors in the first two post-processing techniques have revealed the need for a robust automated method to derive an accurate noise-free precipitation time series from the raw bucket-weight measurements. The method must be capable of removing random noise, diurnal oscillations, and evaporative (negative) drift from the raw data. This evaluation primarily focuses on cold-season (October to April) accumulating automated weighing precipitation gauge data at 1 min resolution from two sources: a control (pre-processed time series) with added synthetic noise and drift and raw (minimally processed) data from several WMO Solid Precipitation Intercomparison Experiment (SPICE) sites. Evaluation against the control with synthetic noise shows the effectiveness of the NAF-SEG technique, recovering 99 %, 100 %, and 102 % of the control total precipitation for low-, medium-, and high-noise scenarios respectively for the cold-season (October–April) and 97 % of the control total precipitation for all noise scenarios in the warm season (May–September). Among the filters, the fully automated NAF-SEG produced the highest correlation coefficients and lowest root-mean-square error (RMSE) for all synthetic noise levels, with comparable performance to the supervised and manually intensive NAF-S method. Compared to the O15 method in cold-season testing, NAF-SEG shows a lower bias in 37 of 44 real-world test cases, a similar bias in 5 cases, and a higher bias in 2 cases. In warm-season testing, the NAF-SEG bias was lower or similar in 7 of 11 cases. The results indicate that the NAF-SEG post-processing technique provides substantial improvement over current automated techniques, reducing both uncertainty and bias in accumulating-gauge measurements of precipitation, with a 24 h latency. Because it cannot be implemented in real time, we recommend that NAF-SEG be used in combination with a simple real-time filter, such as the O15 or similar filter.
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Senthil Kumar, Guru Koushik, Sandip Aine, and Maxim Likhachev. "Euclidean Distance-Optimal Post-processing of Grid-Based Paths." Proceedings of the International Conference on Automated Planning and Scheduling 32 (June 13, 2022): 321–28. http://dx.doi.org/10.1609/icaps.v32i1.19816.

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Paths planned over grids can often be suboptimal in an Euclidean space and contain a large number of unnecessary turns. Consequently, researchers have looked into post-processing techniques to improve the paths after they are planned. In this paper, we propose a novel post-processing technique, called Homotopic Visibility Graph Planning (HVG) which differentiates itself from existing post-processing methods in that it is guaranteed to shorten the path such that it is at least as short as the provably shortest path that lies within the same topological class as the initially computed path. We propose the algorithm, provide proofs and compare it experimentally against other post-processing methods and any-angle planning algorithms.
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Abdel Aziz, Khaled Mahmoud, and Loutfia Elsonbaty. "EFFECT OF USING DIFFERENT SATELLITE EPHEMERIDES ON GPS PPP AND POST PROCESSING TECHNIQUES." Geodesy and cartography 47, no. 3 (October 13, 2021): 104–10. http://dx.doi.org/10.3846/gac.2021.13762.

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The orbital error is one of the errors in GPS which affect the accuracy of GPS positioning. In this research GPS broadcast, ultra-rapid, rapid and precise satellite ephemerides are used for processing different baseline lengths among some CORS stations by using the Trimble Business Center software (TBC) and different satellite ephemerides (NRCan ultra-rapid, NRCan rapid and IGS final) are tested in CSRS-PPP online application at the same CORS stations. In this research, when using TBC software for processing the different baseline lengths by using the different satellite ephemerides and compared the coordinates of CORS stations which obtained from the different satellite ephemerides with each other. The results showed that the best satellite ephemerides closest to rapid and final satellite ephemerides are the ultra-rapid (00 UTC) and ultra-rapid (06 UTC). When processing the same CORS stations which used at TBC on CSRSPPP online application by using the different satellite ephemerides it is found also that the NRCan ultra-rapid closest to final satellite ephemerides.
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48

Peng, Xing, Lingbao Kong, Jerry Ying Hsi Fuh, and Hao Wang. "A Review of Post-Processing Technologies in Additive Manufacturing." Journal of Manufacturing and Materials Processing 5, no. 2 (April 18, 2021): 38. http://dx.doi.org/10.3390/jmmp5020038.

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Additive manufacturing (AM) technology has rapidly evolved with research advances related to AM processes, materials, and designs. The advantages of AM over conventional techniques include an augmented capability to produce parts with complex geometries, operational flexibility, and reduced production time. However, AM processes also face critical issues, such as poor surface quality and inadequate mechanical properties. Therefore, several post-processing technologies are applied to improve the surface quality of the additively manufactured parts. This work aims to document post-processing technologies and their applications concerning different AM processes. Various types of post-process treatments are reviewed and their integrations with AM process are discussed.
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Stinn, Bjoern, Juergen Fornaro, Dennis Hibbeln, Lotus Desbiolles, Simon Wildermuth, and Sebastian Leschka. "Evaluation of a Computed Tomography Coronary Angiography Scan – Advantages and Disadvantages of Different Post-processing Techniques." European Cardiology Review 6, no. 4 (2010): 10. http://dx.doi.org/10.15420/ecr.2010.6.4.10.

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Computed tomography coronary angiography (CTCA) is increasingly performed worldwide. For the interpretation of the acquired data set, different post-processing techniques are available, such as multiplanar reformation, maximum-intensity projections, direct volume rendering, virtual coronary angioscopy or the angiographic view. Each of these techniques shows certain advantages and disadvantages during application and image interpretation. Thus, a combination of post-processing techniques for the interpretation of CTCA studies should be used. When starting to perform and interpret CTCA, a systematic approach is mandatory for accurate diagnosis. We developed a practical algorithm in our institution for the interpretation of CTCA studies with special emphasis on interpretation steps to avoid a false-negative or false-positive diagnosis. In this article we discuss the strengths and weaknesses of the different post-processing techniques available for evaluation of CTCA and provide a systematic approach for interpreting a CTCA study, with an emphasis on how to avoid false-positive and false-negative classifications.
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Flipon, B., V. Grand, B. Murgas, A. Gaillac, A. Nicolaÿ, N. Bozzolo, and M. Bernacki. "Grain size characterization in metallic alloys using different microscopy and post-processing techniques." Materials Characterization 174 (April 2021): 110977. http://dx.doi.org/10.1016/j.matchar.2021.110977.

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