Journal articles: 'Facet extraction'

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Komamizu, Takahiro, Toshiyuki Amagasa, and Hiroyuki Kitagawa. "Facet-value extraction scheme from textual contents in XML data." International Journal of Web Information Systems 11, no. 3 (August 17, 2015): 270–90. http://dx.doi.org/10.1108/ijwis-04-2015-0012.

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Purpose – The purpose of this paper is to extract appropriate terms to summarize the current results in terms of the contents of textual facets. Faceted search on XML data helps users find necessary information from XML data by giving attribute–content pairs (called facet-value pair) about the current search results. However, if most of the contents of a facet have longer texts in average (such facets are called textual facets), it is not easy to overview the current results. Design/methodology/approach – The proposed approach is based upon subsumption relationships of terms among the contents of a facet. The subsumption relationship can be extracted using co-occurrences of terms among a number of documents (in this paper, a content of a facet is considered as a document). Subsumption relationships compose hierarchies, and the authors utilize the hierarchies to extract facet-values from textual facets. In the faceted search context, users have ambiguous search demands, they expect broader terms. Thus, we extract high-level terms in the hierarchies as facet-values. Findings – The main findings of this paper are the extracted terms improve users’ search experiences, especially in cases when the search demands are ambiguous. Originality/value – An originality of this paper is the way to utilize the textual contents of XML data for improving users’ search experiences on faceted search. The other originality is how to design the tasks to evaluate exploratory search like faceted search.

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Wei, Xiao, Chenglei Qin, and Zheng Xu. "Building the Multidimensional Semantic Index of Webpages for Facet Extraction." International Journal of Cognitive Informatics and Natural Intelligence 9, no. 2 (April 2015): 1–23. http://dx.doi.org/10.4018/ijcini.2015040101.

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Faceted search is an efficient search method to use the big data and one of its key issues is to extract facets from unstructured webpages automatically. It is still a problem to extract facets from massive unstructured webpages exactly and automatically. To solve the problem, this paper first proposed a novel index structure of webpages, the Multidimensional Semantic Index (MDSI), which holds rich semantics and are helpful to extract facets. In MDSI, the differently dimensional semantic indexes are bridged by mining the semantic mapping between them. Then, an automatic facet extraction method is proposed by analysing semantic mapping relations in MDSI. At last, to validate the effect of the proposed method, two datasets are constructed and the experimental results show that the proposed method is feasible and comparatively precise.

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Peng, Yu Hui, and Cheng Hui Gao. "A Novel Boundary Extraction Algorithm on Triangular Meshes of STL Model." Advanced Materials Research 97-101 (March 2010): 2929–34. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.2929.

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The generation of boundaries from the triangular meshes of CAD object is very important for successful surface segmentation and subdivision. Considering the characteristics of non-uniformity, sparseness and known facet normal for STL model, which is generated by a CAD system, a new and efficient approach for extracting boundaries on STL model is presented in this paper. Boundaries are classified into sharp feature edge and non-sharp feature edge embedded in the filleting and transitive region. The former is detected based on dihedral edge angle (angle between facets), while the latter is identified by analyzing intrinsic region properties of triangular facets distribution without curvature estimation. By means of unidirectional increment of feature edges, continuous region boundaries are generated. Successful examples are presented to illustrate the feasibility of the proposed algorithm.

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Wang, Wenjian. "Computed-tomography-based precision inspection and shape extraction using facet model." Optical Engineering 39, no. 1 (January 1, 2000): 114. http://dx.doi.org/10.1117/1.602343.

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Lin, Yangbin, Cheng Wang, Bili Chen, Dawei Zai, and Jonathan Li. "Facet Segmentation-Based Line Segment Extraction for Large-Scale Point Clouds." IEEE Transactions on Geoscience and Remote Sensing 55, no. 9 (September 2017): 4839–54. http://dx.doi.org/10.1109/tgrs.2016.2639025.

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Foks, Nathan Leon, and Yaoguo Li. "Automatic boundary extraction from magnetic field data using triangular meshes." GEOPHYSICS 81, no. 3 (May 2016): J47—J60. http://dx.doi.org/10.1190/geo2015-0112.1.

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Boundary extraction is a collective term that we use for the process of extracting the locations of faults, lineaments, and lateral boundaries between geologic units using geophysical observations, such as measurements of the magnetic field. The process typically begins with a preprocessing stage, where the data are transformed to enhance the visual clarity of pertinent features and hence improve the interpretability of the data. The majority of the existing methods are based on raster grid enhancement techniques, and the boundaries are extracted as a series of points or line segments. In contrast, we set out a methodology for boundary extraction from magnetic data, in which we represent the transformed data as a surface in 3D using a mesh of triangular facets. After initializing the mesh, we modify the node locations, such that the mesh smoothly represents the transformed data and that facet edges are aligned with features in the data that approximate the horizontal locations of subsurface boundaries. To illustrate our boundary extraction algorithm, we first apply it to a synthetic data set. We then apply it to identify boundaries in a magnetic data set from the McFaulds Lake area in Ontario, Canada. The extracted boundaries are in agreement with known boundaries and several of the regions that are completely enclosed by extracted boundaries coincide with regions of known mineralization.

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Dulău, Marius, and Florin Oniga. "Obstacle Detection Using a Facet-Based Representation from 3-D LiDAR Measurements." Sensors 21, no. 20 (October 15, 2021): 6861. http://dx.doi.org/10.3390/s21206861.

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In this paper, we propose an obstacle detection approach that uses a facet-based obstacle representation. The approach has three main steps: ground point detection, clustering of obstacle points, and facet extraction. Measurements from a 64-layer LiDAR are used as input. First, ground points are detected and eliminated in order to select obstacle points and create object instances. To determine the objects, obstacle points are grouped using a channel-based clustering approach. For each object instance, its contour is extracted and, using an RANSAC-based approach, the obstacle facets are selected. For each processing stage, optimizations are proposed in order to obtain a better runtime. For the evaluation, we compare our proposed approach with an existing approach, using the KITTI benchmark dataset. The proposed approach has similar or better results for some obstacle categories but a lower computational complexity.

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Yang, Deheng, Yadong Li, Xinyi Liu, Yue Cao, Yi Gao, Y. Ron Shen, and Wei-Tao Liu. "Facet-specific interaction between methanol and TiO2 probed by sum-frequency vibrational spectroscopy." Proceedings of the National Academy of Sciences 115, no. 17 (April 9, 2018): E3888—E3894. http://dx.doi.org/10.1073/pnas.1802741115.

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The facet-specific interaction between molecules and crystalline catalysts, such as titanium dioxides (TiO2), has attracted much attention due to possible facet-dependent reactivity. Using surface-sensitive sum-frequency vibrational spectroscopy, we have studied how methanol interacts with different common facets of crystalline TiO2, including rutile(110), (001), (100), and anatase(101), under ambient temperature and pressure. We found that methanol adsorbs predominantly in the molecular form on all of the four surfaces, while spontaneous dissociation into methoxy occurs preferentially when these surfaces become defective. Extraction of Fermi resonance coupling between stretch and bending modes of the methyl group in analyzing adsorbed methanol spectra allows determination of the methanol adsorption isotherm. The isotherms obtained for the four surfaces are nearly the same, yielding two adsorbed Gibbs free energies associated with two different adsorption configurations singled out by ab initio calculations. They are (i) ∼−20 kJ/mol for methanol with its oxygen attached to a low-coordinated surface titanium, and (ii) ∼−5 kJ/mol for methanol hydrogen-bonded to a surface oxygen and a neighboring methanol molecule. Despite similar adsorption energetics, the Fermi resonance coupling strength for adsorbed methanol appears to depend sensitively on the surface facet and coverage.

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Nagendran, Sharan Kumar, Mohd Ashraf Mohamad Ismail, and Yan Tung Wen. "Photogrammetry approach on geological plane extraction using CloudCompare FACET plugin and scanline survey." Bulletin of the Geological Society of Malaysia 68 (December 31, 2019): 151–58. http://dx.doi.org/10.7186/bgsm68201916.

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Sano, Hikomaro. "Extraction of facet terms from article titles and their display in tabular form." Journal of Information Science 17, no. 1 (February 1991): 43–48. http://dx.doi.org/10.1177/016555159101700105.

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Di Giacomo, Giovanni de Almeida Prado, Amanda Magalhães, and Sergio Ajzen. "Immediate esthetic crown with a facet of the extracted element." European Journal of Dentistry 08, no. 03 (July 2014): 412–15. http://dx.doi.org/10.4103/1305-7456.137658.

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ABSTRACTThe present report describes a case of implant loading with an immediate temporary crown. The buccal crown surface was removed from the extracted tooth to obtain an aesthetically satisfactory result. After periodontal treatment, tooth 21 appeared proclined and showed Grade 3 mobility, indicating the need for its extraction. The remaining bone was imaged using computed tomography, and virtual surgical planning was performed using these results. The implant was immediately loaded postextraction into the fresh alveolus without a graft and flap procedure. The temporary tooth, which was manufactured using the extracted buccal surface, was a simple, fast, and low cost procedure that produced an excellent esthetic outcome.

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Yang, Jun, Quanxi Zhu, Taiping Xie, Jiankang Wang, Yuan Peng, Yajing Wang, Chenglun Liu, and Longjun Xu. "Insights into Interface Charge Extraction in a Noble-Metal-Free Doped Z-Scheme NiO@BiOCl Heterojunction." Catalysts 10, no. 9 (August 21, 2020): 958. http://dx.doi.org/10.3390/catal10090958.

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It is of great significance to thoroughly explore the interface charge extraction and migration in heterojunction systems, which could guide us to synthesize higher-efficiency photocatalytic materials. A novel noble-metal-free doped Z-scheme NiO@BiOCl heterojunction was found in this work. The corresponding heterostructure, interface electron extraction, and electron migration were investigated via first-principles calculation. 5,5′-dimethyl-1-pyrroline-N-oxide (DMPO) spin-trapping electron spin resonance (ESR) and time-resolved photoluminescence (TRPL) tests were implemented to confirm the calculation results, which showed that electrons and holes stayed in the NiO (100) facet and BiOCl (110) facet, respectively. Owing to the large chemical potential of 2.40 V (vs ENHE) for the BiOCl valence-band hole, it possessed super activity to oxidize water into hydroxyl radicals or molecular oxygen. We hope this promising multifunctional photocatalytic material, therefore, NiO@BiOCl can be applied in advanced treatment of organic wastewater and oxygen production from photolysis water.

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Zadgaonkar, A. V., A. J. Agrawal, and S. Aote. "Facets extraction-based approach for query recommendation using data mining approach." International Journal of Engineering & Technology 7, no. 1 (January 30, 2018): 121. http://dx.doi.org/10.14419/ijet.v7i1.8944.

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Search engines are popularly utilized for extracting desired information from World Wide Web by users. Efficiency of these search engines are dependent on how fast search results can be retrieved and whether these results reflects the desired info or not. For a particular query, vast amount of relevant information is scattered across the multiple web pages. Search engines generate multiple web links as a output. It has been a jigsaw puzzle for users to identify and select relevant links to extract further desired information. To address this issue, we are proposing an approach for Query Recommendation for getting relevant search results from web using facet mining techniques. Facets are the semantically related words for a query which defines its multiple aspects. We are extracting these aspects of a query from Wikipedia pages which is considered to be a trustworthy resource on the web. Our proposed system uses various text processing techniques to refine the results using lexical resource like WorldNet. In this paper we are discussing our approach and its implementation and results obtained. In the paper , Discussion on future research direction is included to conclude.

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Kussul, Ernst, Tetyana Baydyk, Alberto Escalante Estrada, Maria Teresa Rodríguez González, and Donald Wunsch II. "Solar concentrators manufacture and automation." Open Physics 17, no. 1 (April 5, 2019): 93–103. http://dx.doi.org/10.1515/phys-2019-0011.

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Abstract Solar energy is one of the most promising types of renewable energy. Flat facet solar concentrators were proposed to decrease the cost of materials needed for production. They used small flat mirrors for approximation of parabolic dish surface. The first prototype of flat facet solar concentrators was made in Australia in 1982. Later various prototypes of flat facet solar concentrators were proposed. It was shown that the cost of materials for these prototypes is much lower than the material cost of conventional parabolic dish solar concentrators. To obtain the overall low cost of flat facet concentrators it is necessary to develop fully automated technology of manufacturing and assembling processes. Unfortunately, the design of known flat facet concentrators is too complex for automation process. At present we develop the automatic manufacturing and assembling system for flat facet solar concentrators. For this purpose, we propose the design of flat facet solar concentrator that is convenient for automatization. We describe this design in the paper. At present, almost all solar-energy plants in the world occupy specific areas that are not used for agricultural production. This leads to a competition between the solar-energy plants and agriculture production systems. To avoid this competition, it is possible to co-locate solar-energy devices in agricultural fields. The energy obtained via such co-location can be used for agricultural needs (e.g., water extraction for irrigation) and other purposes (e.g., sent to an electrical grid). In this study, we also describe the results of an investigation on co-location methods for the minimal loss of agricultural harvest too.

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Yunita, Ariana, Harry Budi Santoso, and Zainal A. Hasibuan. "Finding Contributing Factors of Students’ Academic Achievement Using Quantitative and Qualitative Analyses-Based Information Extraction." International Journal of Emerging Technologies in Learning (iJET) 17, no. 16 (August 31, 2022): 108–25. http://dx.doi.org/10.3991/ijet.v17i16.31945.

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Big data learning analytics is still in its infancy and has been developed on several campuses worldwide. Ideally, all students' profiles should be described and embraced to optimize the development of any proposed system related to big data learning analytics. This paper aims to extract information related to factors contributing to students’ academic achievement using quantitative and qualitative approach, in which co-occurrence analysis were applied for quantitative approach and facet analysis for the qualitative approach. For data collection, Kitchenham’s technique were used to select and filter the literature, at the first iteration, 1,167 papers were found. After applying inclusion and exclusion criteria, 101 articles were processed for text mining. Titles and abstracts were analyzed using a text-mining tool, and then resulted clusters of words. Afterwards, clusters of words were labeled using facet analysis. This study results in eight interrelated clusters of academic achievement factors: demography, internal consistency, technology, student course engagement, activity in a classroom, educational system, socio-culture, and personality. Several insights into each cluster will be described and might be beneficial for researchers in learning analytics.

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Morrison, G. B., D. T. Cassidy, and D. M. Bruce. "Facet phases and sub-threshold spectra of DFB lasers: spectral extraction, features, explanations and verification." IEEE Journal of Quantum Electronics 37, no. 6 (June 2001): 762–69. http://dx.doi.org/10.1109/3.922773.

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Dewez, T. J. B., D. Girardeau-Montaut, C. Allanic, and J. Rohmer. "FACETS : A CLOUDCOMPARE PLUGIN TO EXTRACT GEOLOGICAL PLANES FROM UNSTRUCTURED 3D POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 799–804. http://dx.doi.org/10.5194/isprs-archives-xli-b5-799-2016.

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Geological planar facets (stratification, fault, joint…) are key features to unravel the tectonic history of rock outcrop or appreciate the stability of a hazardous rock cliff. Measuring their spatial attitude (dip and strike) is generally performed by hand with a compass/clinometer, which is time consuming, requires some degree of censoring (i.e. refusing to measure some features judged unimportant at the time), is not always possible for fractures higher up on the outcrop and is somewhat hazardous. 3D virtual geological outcrop hold the potential to alleviate these issues. Efficiently segmenting massive 3D point clouds into individual planar facets, inside a convenient software environment was lacking. FACETS is a dedicated plugin within CloudCompare v2.6.2 (<a href="http://cloudcompare.org/"target="_blank">http://cloudcompare.org/</a> ) implemented to perform planar facet extraction, calculate their dip and dip direction (i.e. azimuth of steepest decent) and report the extracted data in interactive stereograms. Two algorithms perform the segmentation: Kd-Tree and Fast Marching. Both divide the point cloud into sub-cells, then compute elementary planar objects and aggregate them progressively according to a planeity threshold into polygons. The boundaries of the polygons are adjusted around segmented points with a tension parameter, and the facet polygons can be exported as 3D polygon shapefiles towards third party GIS software or simply as ASCII comma separated files. One of the great features of FACETS is the capability to explore planar objects but also 3D points with normals with the stereogram tool. Poles can be readily displayed, queried and manually segmented interactively. The plugin blends seamlessly into CloudCompare to leverage all its other 3D point cloud manipulation features. A demonstration of the tool is presented to illustrate these different features. While designed for geological applications, FACETS could be more widely applied to any planar objects.

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Dewez, T. J. B., D. Girardeau-Montaut, C. Allanic, and J. Rohmer. "FACETS : A CLOUDCOMPARE PLUGIN TO EXTRACT GEOLOGICAL PLANES FROM UNSTRUCTURED 3D POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 799–804. http://dx.doi.org/10.5194/isprsarchives-xli-b5-799-2016.

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Geological planar facets (stratification, fault, joint…) are key features to unravel the tectonic history of rock outcrop or appreciate the stability of a hazardous rock cliff. Measuring their spatial attitude (dip and strike) is generally performed by hand with a compass/clinometer, which is time consuming, requires some degree of censoring (i.e. refusing to measure some features judged unimportant at the time), is not always possible for fractures higher up on the outcrop and is somewhat hazardous. 3D virtual geological outcrop hold the potential to alleviate these issues. Efficiently segmenting massive 3D point clouds into individual planar facets, inside a convenient software environment was lacking. FACETS is a dedicated plugin within CloudCompare v2.6.2 (<a href="http://cloudcompare.org/"target="_blank">http://cloudcompare.org/</a> ) implemented to perform planar facet extraction, calculate their dip and dip direction (i.e. azimuth of steepest decent) and report the extracted data in interactive stereograms. Two algorithms perform the segmentation: Kd-Tree and Fast Marching. Both divide the point cloud into sub-cells, then compute elementary planar objects and aggregate them progressively according to a planeity threshold into polygons. The boundaries of the polygons are adjusted around segmented points with a tension parameter, and the facet polygons can be exported as 3D polygon shapefiles towards third party GIS software or simply as ASCII comma separated files. One of the great features of FACETS is the capability to explore planar objects but also 3D points with normals with the stereogram tool. Poles can be readily displayed, queried and manually segmented interactively. The plugin blends seamlessly into CloudCompare to leverage all its other 3D point cloud manipulation features. A demonstration of the tool is presented to illustrate these different features. While designed for geological applications, FACETS could be more widely applied to any planar objects.

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Liu, Yang Chuan, Xin Gao, Chuan Xu, Wei Wei Fu, Yun Teng, Hong Cheng Yang, and Tao Zhang. "A Sub-Pixel Extraction Method for the Center of the Circular Structure from Spot Array Calibration Target." Applied Mechanics and Materials 236-237 (November 2012): 1090–94. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.1090.

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The imaging measurement system must be calibrated before application. In calibration procedure, sub-pixel center extraction is the crucial step for the final accuracy. In this paper, a new sub-pixel extraction method is proposed. Edge detection at pixel level is obtained using LOG operator, then sub-pixel edge detection is realized using the Facet model. Finally, the least squares ellipse fitting is operated on the sub-pixel edge to determine the sub-pixel center. Experiment on a series of simulated images indicates that this algorithm is able to realize the center location accuracy of 0.01-0.02 pixel, and meets the requirement of sub-pixel level.

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Manchikanti, Laxmaiah. "Do Regenerative Medicine Therapies Provide Long-Term Relief in Chronic Low Back Pain: A Systematic Review and Metaanalysis." January 2018 1, no. 21;1 (November 14, 2018): 515–40. http://dx.doi.org/10.36076/ppj.2018.6.515.

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Background: Several cell-based therapies have been proposed in recent years the management of low back pain, including the injection of medicinal signaling cells or mesenchymal stem cells (MSCs) and platelet-rich plasma (PRP). However, there is only emerging clinical evidence to support their use at this time. Purpose: To assess the effectiveness of MSCs or PRP injections in the treatment of low back and lower extremity pain. Study Design: A systematic review and metaanalysis of the effectiveness of PRP and MSCs injections in managing low back and lower extremity pain. Data Sources: PubMed, Cochrane Library, US National Guideline Clearinghouse, prior systematic reviews, and reference lists. The literature search was performed from 1966 through June 2018. Study Selection: Randomized trials, observational studies, and case reports of injections of biologics into the disc, epidural space, facet joints, or sacroiliac joints. Data Extraction: Data extraction and methodological quality assessment were performed utilizing Cochrane review methodologic quality assessment and Interventional Pain Management Techniques - Quality Appraisal of Reliability and Risk of Bias Assessment (IPM-QRB) and Interventional Pain Management Techniques – Quality Appraisal of Reliability and Risk of Bias Assessment for Nonrandomized Studies (IPM-QRBNR). The evidence was summarized utilizing principles of best evidence synthesis on a scale of 1 to 5. Data Synthesis: Twenty-one injection studies met inclusion criteria. There were 12 lumbar disc injections, 5 epidural, 3 lumbar facet joint, and 3 sacroiliac joint studies Results: Evidence synthesis based on a single-arm metaanalysis, randomized controlled trials (RCTs), and observational studies, disc injections of PRP and MSCs showed Level 3 evidence (on a scale of Level I through V). Evidence for epidural injections based on single-arm metaanalysis, a single randomized controlled trial and other available studies demonstrated Level 4 (on a scale of Level I through V) evidence. Similarly, evidence for lumbar facet joint injections and sacroiliac joint injections without metaanalysis demonstrated Level 4 evidence (on a scale of Level I through V).. Limitations: Lack of high quality RCTs. Conclusion: The findings of this systematic review and single-arm metaanalysis shows that MSCs and PRP may be effective in managing discogenic low back pain, radicular pain, facet joint pain, and sacroiliac joint pain, with variable levels of evidence in favor of these techniques. Key Words: Chronic low back pain, regenerative therapy, medicinal signaling or mesenchymal stem cells, platelet-rich plasma, disc injection, lumbar facet joint injections, sacroiliac joint injections

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Duan, Anran, Huali Qiao, Miao He, Ting Wang, Dan Wang, Tongshuai Wang, and Hailong Wang. "Growth of lithium iron silicates nanoplates with high energy facets via polymorphs transition for ehanced lithium-ion extraction/insertion reaction." Functional Materials Letters 14, no. 04 (March 29, 2021): 2151015. http://dx.doi.org/10.1142/s1793604721510152.

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The anisotropic functionalities of nanostructured silicates are highly attractive for various applications, whereas the silicates’ nanostructure heavily relies on the reactions in low temperature liquid conditions. Due to the stubborn [SiO4][Formula: see text] lattice foundation and most surfactants’ thermal instability, it is extremely difficult to manipulate the nanostructure and preserve high energy lattice facets in the high temperature solid state growth of silicates. In this report, the polymorphs transition of Li2FeSiO4 is found to open a precious window for adsorbate–crystal interactions. By adsorbing on the intermediates of phase transition, Ethlyene glycol effectively promotes the solid-state growth of Li2FeSiO4 nanoplates at high temperature, of which the high energy (020) facet becomes the dominant and exhibits high activity for fast charge transportation. The obtained Li2FeSiO4 nanoplates show greatly enhanced reactivity for Li[Formula: see text] ions’ extraction/insertion, and exhibit excellent capacities at high current density (1–10 C) as the cathode material for lithium-ion batteries.

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Tung, Wen Yan, Sharan Kumar Nagendran, and Mohd Ashraf Mohamad Ismail. "3D rock slope data acquisition by photogrammetry approach and extraction of geological planes using FACET plugin in CloudCompare." IOP Conference Series: Earth and Environmental Science 169 (July 31, 2018): 012051. http://dx.doi.org/10.1088/1755-1315/169/1/012051.

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Lyakh, A., R. Maulini, A. Tsekoun, R. Go, C. Pflügl, L. Diehl, Q. J. Wang, Federico Capasso, and C. Kumar N. Patel. "3 W continuous-wave room temperature single-facet emission from quantum cascade lasers based on nonresonant extraction design approach." Applied Physics Letters 95, no. 14 (October 5, 2009): 141113. http://dx.doi.org/10.1063/1.3238263.

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Kumar, Sundaram, Sam Agarwal, and Keyna O'Reilly. "In Situ Al₃Nb Formation in Liquid Al by Nb Particle Addition." Materials Science Forum 790-791 (May 2014): 515. http://dx.doi.org/10.4028/www.scientific.net/msf.790-791.515.

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Master alloys are used in the metals industry to control chemical composition and to help to achieve a particular microstructure or promote growth of desired phases. This study reports on making a Al3Nb containing aluminium (Al) - niobium (Nb) master alloy by solid-liquid reaction processing, where solid Nb particles are added to the liquid Al. Nb react with Al to form in-situ Al3Nb. The in-situ formed Al3Nb particles were facet and polygonal in shape. The three dimensional analysis revealed that the outer surface of the partially reacted Nb was covered with faceted Al3Nb particles. The different nature and morphologies of the in-situ phases that were produced were determined using SEM, EDX, XRD and extraction techniques. A mechanism for the observed microstructural difference is discussed.

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Kumar, Sundaram, Sam Agarwal, and Keyna O'Reilly. "In Situ Al₃Nb Formation in Liquid Al by Nb Particle Addition." Materials Science Forum 812 (February 2015): 131–36. http://dx.doi.org/10.4028/www.scientific.net/msf.812.131.

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Master alloys are used in the metals industry to control chemical composition and to help to achieve a particular microstructure or promote growth of desired phases. This study reports on making a Al3Nb containing aluminium (Al) - niobium (Nb) master alloy by solid-liquid reaction processing, where solid Nb particles are added to the liquid Al. Nb react with Al to form in-situ Al3Nb. The in-situ formed Al3Nb particles were facet and polygonal in shape. The three dimensional analysis revealed that the outer surface of the partially reacted Nb was covered with faceted Al3Nb particles. The different nature and morphologies of the in-situ phases that were produced were determined using SEM, EDX, XRD and extraction techniques. A mechanism for the observed microstructural difference is discussed.

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Zhou, Zibo, Zhihui Wang, Binbin Wang, Saiqiang Xia, and Jianwei Liu. "Clutter Suppression and Rotor Blade Feature Extraction of a Helicopter Based on Time–Frequency Flash Shifts in a Passive Bistatic Radar." Atmosphere 13, no. 8 (August 1, 2022): 1214. http://dx.doi.org/10.3390/atmos13081214.

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This paper presents a passive bistatic radar (PBR) configuration using a global navigation satellite system as an illuminator of opportunity for the rotor blade feature extraction of a helicopter. Aiming at the strong fixed clutter in the surveillance channel of the PBR, a novel iteration clutter elimination method-based singular-value decomposition approach is proposed. Instead of the range elimination method used in the classic extended cancellation algorithm, the proposed clutter elimination method distinguishes the clutter using the largest singular value and by remove this value. At the same time, the fuselage echo of the hovering helicopter can also be suppressed along with the ground clutter, then the rotor echo of this can be obtained. In the micro-motion feature extraction, the mathematic principle of the flash generation process in the time–frequency distribution (TFD) is derived first. Next, the phase compensation method is applied to achieve the time–frequency flash shift in the TFD. After this, the center frequencies of the standard flashes in the TFD are compared with the standard frequency dictionary. The mean l1 norm is utilized to estimate the feature parameters of the helicopter rotor. In the experiments, the scattering point model and the physical optics facet model demonstrate that the proposed method can obtain more accurate parameter estimation results than some classic algorithms.

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Li, L., L. Pang, X. D. Zhang, and H. Liu. "THE RESEARCH ON ACCURACY EVALUATION METHOD OF THE TOMOGRAPHIC SAR THREE-DIMENSIONAL RECONSTRUCTION OF URBAN BUILDING BASED ON TERRESTRIAL LIDAR POINT CLOUD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 617–21. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-617-2017.

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Muti-baseLine SAR tomography can be used on 3D reconstruction of urban building based on SAR images acquired. In the near future, it is expected to become an important technical tool for urban multi-dimensional precision monitoring. For the moment，There is no effective method to verify the accuracy of tomographic SAR 3D point cloud of urban buildings. In this paper, a new method based on terrestrial Lidar 3D point cloud data to verify the accuracy of the tomographic SAR 3D point cloud data is proposed, 3D point cloud of two can be segmented into different facadeds. Then facet boundary extraction is carried out one by one, to evaluate the accuracy of tomographic SAR 3D point cloud of urban buildings. The experience select data of Pangu Plaza to analyze and compare, the result of experience show that the proposed method that evaluating the accuracy of tomographic SAR 3D point clou of urban building based on lidar 3D point cloud is validity and applicability

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Shang, Xiangjun, Shulun Li, Hanqing Liu, Xiangbin Su, Huiming Hao, Deyan Dai, Xiaoming Li, et al. "Single- and Twin-Photons Emitted from Fiber-Coupled Quantum Dots in a Distributed Bragg Reflector Cavity." Nanomaterials 12, no. 7 (April 5, 2022): 1219. http://dx.doi.org/10.3390/nano12071219.

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In this work, we develop single-mode fiber devices of an InAs/GaAs quantum dot (QD) by bonding a fiber array with large smooth facet, small core, and small numerical aperture to QDs in a distributed Bragg reflector planar cavity with vertical light extraction that prove mode overlap and efficient output for plug-and-play stable use and extensive study. Modulated Si doping as electron reservoir builds electric field and level tunnel coupling to reduce fine-structure splitting (FSS) and populate dominant XX and higher excitons XX+ and XXX. Epoxy package thermal stress induces light hole (lh) with various behaviors related to the donor field: lh h1 confined with more anisotropy shows an additional XZ line (its space to the traditional X lines reflects the field intensity) and larger FSS; lh h2 delocalized to wetting layer shows a fast h2–h1 decay; lh h2 confined shows D3h symmetric higher excitons with slow h2–h1 decay and more confined h1 to raise h1–h1 Coulomb interaction.

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Patil, Aniruddha V., and Pankaj Rabha. "A survey on joint object detection and pose estimation using monocular vision." MATEC Web of Conferences 277 (2019): 02029. http://dx.doi.org/10.1051/matecconf/201927702029.

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In this survey we present a complete landscape of joint object detection and pose estimation methods that use monocular vision. Descriptions of traditional approaches that involve descriptors or models and various estimation methods have been provided. These descriptors or models include chordiograms, shape-aware deformable parts model, bag of boundaries, distance transform templates, natural 3D markers and facet features whereas the estimation methods include iterative clustering estimation, probabilistic networks and iterative genetic matching. Hybrid approaches that use handcrafted feature extraction followed by estimation by deep learning methods have been outlined. We have investigated and compared, wherever possible, pure deep learning based approaches (single stage and multi stage) for this problem. Comprehensive details of the various accuracy measures and metrics have been illustrated. For the purpose of giving a clear overview, the characteristics of relevant datasets are discussed. The trends that prevailed from the infancy of this problem until now have also been highlighted.

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Al-Tamimi, Abdel-Karim, Asseel Qasaimeh, and Kefaya Qaddoum. "Offline signature recognition system using oriented FAST and rotated BRIEF." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (October 1, 2021): 4095. http://dx.doi.org/10.11591/ijece.v11i5.pp4095-4103.

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Despite recent developments in offline signature recognition systems, there is however limited focus on the recognition problem facet of using an inadequate sample size for training that could deliver reliable and easy to use authentication systems. Signature recognition systems are one of the most popular biometric authentication systems. They are regarded as non-invasive, socially accepted, and adequately precise. Research on offline signature recognition systems still has not shown competent results when a limited number of signatures are used. This paper describes our proposed practical offline signature recognition system using the oriented FAST and rotated BRIEF (ORB) feature extraction algorithm. We focus on the practicality of the proposed system, which requires only the minimum number of signatures per user to achieve a high level of fidelity. We manifest the practicality of our approach with a signature database of 300 signatures from 100 different individuals, implying that only two signatures are needed per person to train the proposed system. Our proposed solution achieves a 91% recognition rate with a median matching time of only 7 ms.

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Halley, Samuel L., Paul Marshall, and Jason C. Siegler. "Effect of ischemic preconditioning and changing inspired O2 fractions on neuromuscular function during intense exercise." Journal of Applied Physiology 127, no. 6 (December 1, 2019): 1688–97. http://dx.doi.org/10.1152/japplphysiol.00539.2019.

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The aim of the present study was to determine whether ischemic preconditioning (IPC)-mediated effects on neuromuscular function are dependent on tissue oxygenation. Eleven resistance-trained males completed four exercise trials (6 sets of 11 repetitions of maximal effort dynamic single-leg extensions) in either normoxic [fraction of inspired oxygen ([Formula: see text]): 21%) or hypoxic [Formula: see text]: 14%] conditions, preceded by treatments of either IPC (3 × 5 min bilateral leg occlusions at 220 mmHg) or sham (3 × 5 min at 20 mmHg). Femoral nerve stimulation was utilized to assess voluntary activation and potentiated twitch characteristics during maximal voluntary contractions (MVCs). Tissue oxygenation (via near-infrared spectroscopy) and surface electromyography activity were measured throughout the exercise task. MVC and twitch torque declined 62 and 54%, respectively (MVC: 96 ± 24 N·m, Cohen’s d = 2.9, P < 0.001; twitch torque: 37 ± 11 N·m, d = 1.6, P < 0.001), between pretrial measurements and the sixth set without reductions in voluntary activation ( P > 0.21); there were no differences between conditions. Tissue oxygenation was reduced in both hypoxic conditions compared with normoxia ( P < 0.001), with an even further reduction of 3% evident in the hypoxic IPC compared with the sham trial (mean decrease 1.8 ± 0.7%, d = 1.0, P < 0.05). IPC did not affect any measure of neuromuscular function regardless of tissue oxygenation. A reduction in [Formula: see text] did invoke a humoral response and improved muscle O2 extraction during exercise, however, it did not manifest into any performance benefit. NEW & NOTEWORTHY Ischemic preconditioning did not affect any facet of neuromuscular function regardless of the degree of tissue oxygenation. Reducing the fraction of inspired oxygen induced localized tissue deoxygenation, subsequently invoking a humoral response, which improved muscle oxygen extraction during exercise. This physiological response, however, did not manifest into any performance benefits.

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Ravi, Harish Karthikeyan, Antoine Degrou, Jérôme Costil, Christophe Trespeuch, Farid Chemat, and Maryline Abert Vian. "Larvae Mediated Valorization of Industrial, Agriculture and Food Wastes: Biorefinery Concept through Bioconversion, Processes, Procedures, and Products." Processes 8, no. 7 (July 17, 2020): 857. http://dx.doi.org/10.3390/pr8070857.

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Each year, the food supply chain produces more than 1.3 billion tons of food and agricultural waste, which poses serious environmental problems. The loss of the massive quantity of secondary and primary metabolites retrievable from this resource is a significant concern. What if there is a global solution that caters to the numerous problems arising due to the humongous volume of waste biomass generated in every part of the world? Insects, the tiny creatures that thrive in decaying organic matter, which can concentrate the nutrients present in dilute quantities in a variety of by-products, are an economically viable option. The bioconversion and nutritional upcycling of waste biomass with insects yield high-value products such as protein, lipids, chitin and frass. Insect-derived proteins can replace conventional protein sources in feed formulations. Notably, the ability of the black soldier fly (BSF) or Hermetia illucens to grow on diverse substrates such as agri-food industry side streams and other organic waste proves advantageous. However, the data on industrial-scale extraction, fractionation techniques and biorefinery schemes for screening the nutritional potential of BSF are scarce. This review attempts to break down every facet of insect processing and analyze the processing methods of BSF, and the functional properties of nutrients obtained thereof.

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Kasturiwale, Hemant P., and Sujata N. Kale. "BioSignal modelling for prediction of cardiac diseases using intra group selection method." Intelligent Decision Technologies 15, no. 1 (March 24, 2021): 151–60. http://dx.doi.org/10.3233/idt-200058.

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The Autonomous Nervous System (ANS) controls the nervous system and Heart Rate Variability (HRV) can be used as a diagnostic tool to diagnose heart defects. HRV can be classified into linear and nonlinear HRV indices which are used mostly to measure the efficiency of the model. For prediction of cardiac diseases, the selection and extraction features of machine learning model are effective. The available model used till date is based on HRV indices to predict the cardiac diseases accurately. The model could hardly throw light on specifics of indices, selection process and stability of the model. The proposed model is developed considering all facet electrocardiogram amplitude (ECG), frequency components, sampling frequency, extraction methods and acquisition techniques. The machine learning based model and its performance shall be tested using the standard BioSignal method, both on the data available and on the data obtained by the author. This is unique model developed by considering the vast number of mixtures sets and more than four complex cardiac classes. The statistical analysis is performed on a variety of databases such as MIT/BIH Normal Sinus Rhythm (NSR), MIT/BIH Arrhythmia (AR) and MIT/BIH Atrial Fibrillation (AF) and Peripheral Pule Analyser using feature compatibility techniques. The classifiers are trained for prediction with approximately 40000 sets of parameters. The proposed model reaches an average accuracy of 97.87 percent and is sensitive and précised. The best features are chosen from the different HRV features that will be used for classification. The present model was checked under all possible subject scenarios, such as the raw database and the non-ECG signal. In this sense, robustness is defined not only by the specificity parameter, but also by other measuring output parameters. Support Vector Machine (SVM), K-nearest Neighbour (KNN), Ensemble Adaboost (EAB) with Random Forest (RF) are tested in a 5% higher precision band and a lower band configuration. The Random Forest has produced better results, and its robustness has been established.

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P. Vishwakarma, Virendra, Sujata Pandey, and M. N. Gupta. "Fuzzy based Pixel wise Information Extraction for Face Recognition." International Journal of Engineering and Technology 2, no. 1 (2010): 117–23. http://dx.doi.org/10.7763/ijet.2010.v2.109.

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Chernukha, Irina, Nadezhda Kupaeva, Elena Kotenkova, and Daniil Khvostov. "Differences in Antioxidant Potential of Allium cepa Husk of Red, Yellow, and White Varieties." Antioxidants 11, no. 7 (June 24, 2022): 1243. http://dx.doi.org/10.3390/antiox11071243.

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The effective management of agro-industry organic waste for developing high-commercial-value products is a promising facet of the circular economy. Annually, more than 550,000 tons of waste that is potentially rich in biologically active substances is generated worldwide while processing onions (Allium cepa L.). The antioxidant potential of red, yellow, and white onion husks was studied using FRAP, ORAC, chemiluminescence, and UPLC-ESI-Q-TOF-MS analysis methods. The extraction of phenolic compounds from onion husks was more effective when using an aqueous solution of 70% ethanol as compared with water. Ethanolic extract from red onion husks exhibited the highest TACORAC and TACFRAP values, averaging 2017.34 µmol-equiv. Trolox/g raw material and 2050.23 µmol-equiv. DQ/g raw material, respectively, while the white onion exhibited much lower levels of antioxidants. According to the chemiluminescence results, it was determined that the red and yellow onion husks contained antioxidants of three types of power, while white onion husks only contained medium and weak types. The highest content of flavonoids was found in red onion husks, averaging 1915.90 ± 9.92 µg-eq. DQ/g of raw material and 321.42 ± 2.61 µg-eq. DQ/g of raw material for ethanol and water, respectively, while yellow onion husks exhibited 544.06 ± 2.73 µg-eq. DQ/g of raw material and 89.41 ± 2.08 for ethanol and water, respectively. Quercetin and its glycosides were the most representative flavonoids, and a number of substances with different pharmacological and biological properties were also identified.

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Aljuboori, Zaid. "Surgical removal of a spinal intrathecal projectile led to a significant improvement of cauda equina syndrome." Surgical Neurology International 11 (August 1, 2020): 227. http://dx.doi.org/10.25259/sni_434_2020.

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Background: Penetrating gunshot wounds of the spine are common and can cause severe neurological deficits. However, there are no guidelines as to their optimal treatment. Here, we present a penetrating injury to the lower thoracic spine at the T12 level that lodged within the canal at L1, resulting in a cauda equina syndrome. Notably, the patient’s deficit resolved following bullet removal. Case Description: A 29-year-old male sustained a gunshot injury. The bullet entered the right lower chest, went through the liver, entered the spinal canal at T12, fractured the right T12/L1 facet, and settled within the canal at the L1 level. The patient presented with severe burning pain in the right leg, and perineum. On exam, he had right-sided moderate weakness of the iliopsoas and quadriceps femoris muscles, a right-sided foot drop, decreased sensation throughout the right leg, and urinary retention. Computed tomography myelography showed the bullet located intrathecally at the L1 level causing compression of the cauda equina. The patient underwent an L1 laminectomy with durotomy for bullet removal. Immediately postoperatively, the patient improved; motor power returned to normal, the sensory exam significantly improved; and he was left with only mild residual numbness and burning pain in the right leg. Conclusion: With gunshot injuries, there is a direct correlation between the location/severity of the neurological injury and the potential for recovery. In patients with incomplete cauda equina syndromes, bullet extraction may prove beneficial to neurological outcomes.

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Liu, Yawen, Bingxuan Guo, Xiongwu Xiao, and Wei Qiu. "3D Mesh Pre-Processing Method Based on Feature Point Classification and Anisotropic Vertex Denoising Considering Scene Structure Characteristics." Remote Sensing 13, no. 11 (May 29, 2021): 2145. http://dx.doi.org/10.3390/rs13112145.

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3D mesh denoising plays an important role in 3D model pre-processing and repair. A fundamental challenge in the mesh denoising process is to accurately extract features from the noise and to preserve and restore the scene structure features of the model. In this paper, we propose a novel feature-preserving mesh denoising method, which was based on robust guidance normal estimation, accurate feature point extraction and an anisotropic vertex denoising strategy. The methodology of the proposed approach is as follows: (1) The dual weight function that takes into account the angle characteristics is used to estimate the guidance normals of the surface, which improved the reliability of the joint bilateral filtering algorithm and avoids losing the corner structures; (2) The filtered facet normal is used to classify the feature points based on the normal voting tensor (NVT) method, which raised the accuracy and integrity of feature classification for the noisy model; (3) The anisotropic vertex update strategy is used in triangular mesh denoising: updating the non-feature points with isotropic neighborhood normals, which effectively suppressed the sharp edges from being smoothed; updating the feature points based on local geometric constraints, which preserved and restored the features while avoided sharp pseudo features. The detailed quantitative and qualitative analyses conducted on synthetic and real data show that our method can remove the noise of various mesh models and retain or restore the edge and corner features of the model without generating pseudo features.

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Satish, Pranav, Alex Freeman, Daniel Kelly, Alex Kirkham, Clement Orczyk, Benjamin S. Simpson, Francesco Giganti, Hayley C. Whitaker, Mark Emberton, and Joseph M. Norris. "Relationship of prostate cancer topography and tumour conspicuity on multiparametric magnetic resonance imaging: a protocol for a systematic review and meta-analysis." BMJ Open 12, no. 1 (January 2022): e050376. http://dx.doi.org/10.1136/bmjopen-2021-050376.

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IntroductionMultiparametric magnetic resonance imaging (mpMRI) has improved the triage of men with suspected prostate cancer, through precision prebiopsy identification of clinically significant disease. While multiple important characteristics, including tumour grade and size have been shown to affect conspicuity on mpMRI, tumour location and association with mpMRI visibility is an underexplored facet of this field. Therefore, the objective of this systematic review and meta-analysis is to collate the extant evidence comparing MRI performance between different locations within the prostate in men with existing or suspected prostate cancer. This review will help clarify mechanisms that underpin whether a tumour is visible, and the prognostic implications of our findings.Methods and analysisThe databases MEDLINE, PubMed, Embase and Cochrane will be systematically searched for relevant studies. Eligible studies will be full-text English-language articles that examine the effect of zonal location on mpMRI conspicuity. Two reviewers will perform study selection, data extraction and quality assessment. A third reviewer will be involved if consensus is not achieved. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines will inform the methodology and reporting of the review. Study bias will be assessed using a modified Newcastle-Ottawa scale. A thematic approach will be used to synthesise key location-based factors associated with mpMRI conspicuity. A meta-analysis will be conducted to form a pooled value of the sensitivity and specificity of mpMRI at different tumour locations.Ethics and disseminationEthical approval is not required as it is a protocol for a systematic review. Findings will be disseminated through peer-reviewed publications and conference presentations.PROSPERO registration numberCRD42021228087.

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BOULILA, WADII, and IMED RIADH FARAH. "MULTI-APPROACH SATELLITE IMAGES FUSION BASED ON BLIND SOURCES SEPARATION." International Journal of Image and Graphics 11, no. 01 (January 2011): 117–36. http://dx.doi.org/10.1142/s0219467811004020.

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The development of satellite image acquisition tools helped improving the extraction of information about natural scenes. In the proposed approach, we try to minimize imperfections accompanying the image interpretation process and to maximize useful information extracted from these images through the use of blind source separation (BSS) and fusion methods. In order to extract maximum information from multi-sensor images, we propose to use three algorithms of BSS that are FAST- ICA2D, JADE2D, and SOBI2D. Then by employing various fusion methods such as the probability, possibility, and evidence methods we can minimize both imprecision and uncertainty. In this paper, we propose a hybrid approach based on five main steps. The first step is to apply the three BSS algorithms to the satellites images; it results in obtaining a set of image sources representing each a facet of the land cover. A second step is to choose the image having the maximum of kurtosis and negentropy. After the BSS evaluation, we proceed to the training step using neural networks. The goal of this step is to provide learning regions which are useful for the fusion step. The next step consists in choosing the best adapted fusion method for the selected source images through a case-based reasoning (CBR) module. If the CBR module does not contain a case similar to the one we are seeking, we proceed to apply the three fusion methods. The evaluation of fusion methods is a necessary step for the learning process of our CBR.

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Zhao, Gang, Guocai Ma, Wenlei Xiao, and Yu Tian. "Feature-based five-axis path planning method for robotic additive manufacturing." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233, no. 5 (January 29, 2018): 1412–24. http://dx.doi.org/10.1177/0954405417752508.

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Additive manufacturing has been developed for decades and attracts significant research interests in recent years. Usually, the stereolithography tessellation language format is employed in additive manufacturing to represent the geometric data. However, people gradually realize the inevitable drawbacks of the stereolithography tessellation language file format, such as redundancy, inaccuracy, missing of feature definitions, and lack of integrity. In addition, it is almost impossible to apply the simple polygonal facet representation to the five-axis manufacturing strategy. Hence, there are quite few researches and applications on the five-axis additive manufacturing, in spite of its common applications in the subtractive machining. This article proposes a feature-based five-axis additive manufacturing methodology to enhance and extend the additive manufacturing method. The additive manufacturing features are defined and categorized into two5D_AM_feature and freeform_AM_feature. A feature extraction method is proposed that can automatically recognize the additive manufacturing features from the input model. Specially for the freeform_AM_feature, a five-axis path planning method is proposed and split into three stages: (1) offset the reference surface, (2) spatially slice the freeform layers, and (3) generate the toolpaths for each freeform layer. Real additive manufacturing five-axis toolpaths can be obtained using the proposed algorithm that performs as a secondary developed plug-in in the CATIA® environment. A robotic additive manufacturing system is constructed for the implementation of the five-axis additive manufacturing tasks, which are generated by the proposed algorithms and post-processed after simulation and off-line programming. Some examples are printed to validate the feasibility and efficiency of the proposed method.

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Zhai, Guo Dong, Zhi Feng Dong, and Sheng Ming Yan. "Design and Optimization of the Exhausting-Flowing Remover in Fully-Mechanized Top-Coal Caving Mining Face." Advanced Materials Research 347-353 (October 2011): 2666–71. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.2666.

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Because of its high output，much more dust is produced in fully-mechanized Longwall mining with top-coal caving (LMTC) mining faces than in conventional mechanized mining faces without top-coal caving. Now dust control in fully-mechanized LMTC mining faces has become a key technological problem needed to be solved. Baced on the ejected dust removal technology, this paper developed a coal dust extraction which used in the fully mechanized LMTC mining face. For the optimization of the extraction’s property, measure systems are designed. By amounts of assembled experiment, the best structure of the extraction is found. In this paper, the research of the spray characteristic on the water nozzle was carried out by using the jet parameter testing system. Some important result can be gotten such as the velocity of spray particle, the distribution of the velocity, the diameter of spray particle, the spread of the spray particle etc. The study was helpful to optimizing the exhausting-flowing remover and improving the dust remover’s efficiency. From the industry examination, the coal dust extraction’s performance has greatly improved.

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Jamil, Abeer Salim, Nidaa Flaih Hassan, and Raghad Abdulaali Azeez. "Face Encryption based on Feature Extraction Supported by Canny Edge Detector." Webology 19, no. 1 (January 20, 2022): 1716–30. http://dx.doi.org/10.14704/web/v19i1/web19115.

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Individual privacy protection is regarding a subject in surveillance and security areas. Protection of people's faces in image in linking with complex info, abused cases, involvement, and others on public broadcasting media and social networks are very important. Partial encryption human face is selected to reduce the computational requirements for huge volumes of image data and reducing the computational processing time required to conduct the entire image. In this paper, a new fast algorithm is proposed to encrypt partially human face, at first human face is detected using vole and jones algorithm, features points are extracted from face region to be encrypted, these features points are determined by using Canny edge detector since Canny edge algorithm considers the best edge detector with decent localization properties marked edges areas similar to the edges in the actual image as possible, i.e. that it is an essential feature. Furthermore, the importance of the key for the encryption process and its significant role in increasing and improving security, a new method for generating key is proposed making them resistant to attackers. The suggested encryption algorithms produced good results in the encryption process, since it has a shorter encrypting period and a greater encrypting effect, according to experimental results.

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Kapadia, Pritam, Amy S. Newell, John Cunningham, Michael R. Roberts, and John G. Hardy. "Extraction of High-Value Chemicals from Plants for Technical and Medical Applications." International Journal of Molecular Sciences 23, no. 18 (September 7, 2022): 10334. http://dx.doi.org/10.3390/ijms231810334.

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Plants produce a variety of high-value chemicals (e.g., secondary metabolites) which have a plethora of biological activities, which may be utilised in many facets of industry (e.g., agrisciences, cosmetics, drugs, neutraceuticals, household products, etc.). Exposure to various different environments, as well as their treatment (e.g., exposure to chemicals), can influence the chemical makeup of these plants and, in turn, which chemicals will be prevalent within them. Essential oils (EOs) usually have complex compositions (>300 organic compounds, e.g., alkaloids, flavonoids, phenolic acids, saponins and terpenes) and are obtained from botanically defined plant raw materials by dry/steam distillation or a suitable mechanical process (without heating). In certain cases, an antioxidant may be added to the EO (EOs are produced by more than 17,500 species of plants, but only ca. 250 EOs are commercially available). The interesting bioactivity of the chemicals produced by plants renders them high in value, motivating investment in their production, extraction and analysis. Traditional methods for effectively extracting plant-derived biomolecules include cold pressing and hydro/steam distillation; newer methods include solvent/Soxhlet extractions and sustainable processes that reduce waste, decrease processing times and deliver competitive yields, examples of which include microwave-assisted extraction (MAE), ultrasound-assisted extraction (UAE), subcritical water extraction (SWE) and supercritical CO2 extraction (scCO2). Once extracted, analytical techniques such as chromatography and mass spectrometry may be used to analyse the contents of the high-value extracts within a given feedstock. The bioactive components, which can be used in a variety of formulations and products (e.g., displaying anti-aging, antibacterial, anticancer, anti-depressive, antifungal, anti-inflammatory, antioxidant, antiparasitic, antiviral and anti-stress properties), are biorenewable high-value chemicals.

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Mohammed, Mohammed G., and Amera I. Melhum. "Implementation of HOG Feature Extraction with Tuned Parameters for Human Face Detection." International Journal of Machine Learning and Computing 10, no. 5 (October 5, 2020): 654–61. http://dx.doi.org/10.18178/ijmlc.2020.10.5.987.

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Do, Anh Tuan, Thi Duyen Ngo, and The Duy Bui. "Feature Extraction for Non-frontal Faces." Journal of Automation and Control Engineering 4, no. 2 (2016): 171–76. http://dx.doi.org/10.12720/joace.4.2.171-176.

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Goyeneche, Alicia, Michael-Anthony Lisio, Lili Fu, Rekha Srinivasan, Juan Valdez Capuccino, Zu-hua Gao, and Carlos Telleria. "The Capacity of High-Grade Serous Ovarian Cancer Cells to Form Multicellular Structures Spontaneously along Disease Progression Correlates with Their Orthotopic Tumorigenicity in Immunosuppressed Mice." Cancers 12, no. 3 (March 16, 2020): 699. http://dx.doi.org/10.3390/cancers12030699.

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Many studies have examined the biology, genetics, and chemotherapeutic response of ovarian cancer’s solid component; its liquid facet, however, remains critically underinvestigated. Floating within peritoneal effusions known as ascites, ovarian cancer cells form multicellular structures, creating a cancer niche in suspension. This study explores the pathobiology of spontaneously formed, multicellular, ovarian cancer structures derived from serous ovarian cancer cells isolated along disease evolution. It also tests their capacity to cause peritoneal disease in immunosuppressed mice. Results stem from an analysis of cell lines representing the most frequently diagnosed ovarian cancer histotype (high-grade serous ovarian cancer), derived from ascites of the same patient at distinct stages of disease progression. When cultured under adherent conditions, in addition to forming cellular monolayers, the cultures developed areas in which the cells grew upwards, forming densely packed multilayers that ultimately detached from the bottom of the plates and lived as free-floating, multicellular structures. The capacity to form foci and to develop multicellular structures was proportional to disease progression at the time of ascites extraction. Self-assembled in culture, these structures varied in size, were either compact or hollow, irregular, or spheroidal, and exhibited replicative capacity and an epithelial nature. Furthermore, they fully recreated ovarian cancer disease in immunosuppressed mice: accumulation of malignant ascites and pleural effusions; formation of discrete, solid, macroscopic, peritoneal tumors; and microscopic growths in abdominal organs. They also reproduced the histopathological features characteristic of high-grade serous ovarian cancer when diagnosed in patients. The following results encourage the development of therapeutic interventions to interrupt the formation and/or survival of multicellular structures that constitute a floating niche in the peritoneal fluid, which in turn halts disease progression and prevents recurrence.

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Dey, Aniruddha, Jamuna Kanta Sing, and Shiladitya Chowdhury. "Weighted Fuzzy Generalized 2DFLD: A Fuzzy-Based Feature Extraction Technique for Face Recognition." International Journal of Machine Learning and Computing 7, no. 6 (December 2017): 223–31. http://dx.doi.org/10.18178/ijmlc.2017.7.6.651.

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Mittal, Meenu, Radhika Chopra, Ashok Kumar, and Dhirendra Srivastava. "Comparison of Pain Perception Using Conventional Versus Computer-Controlled Intraligamentary Local Anesthetic Injection for Extraction of Primary Molars." Anesthesia Progress 66, no. 2 (June 1, 2019): 69–76. http://dx.doi.org/10.2344/anpr-66-01-09.

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This study was conducted to compare pain perception of intraligamentary anesthesia (ILA) using a computer-controlled local anesthetic delivery system (CCLADS) versus a conventional intraligamentary injection for extraction of primary molars. A randomized controlled trial was designed where 82 children requiring 102 primary molar extractions were given ILA of 2% lidocaine with 1:80,000 epinephrine with either the conventional method or a CCLADS. Pain during injection and extraction was assessed using the Sound, Eye, Motor (SEM) scale and heart rate recording. Faces Pain Scale–Revised (FPS) scores were self-reported by patients. The Mann-Whitney test was used for evaluation of FPS and SEM scores and Student's t test for evaluation of heart rate readings. Heart rate values during injection were found to be higher, but not statistically significantly higher (p = .077), for conventional injection versus CCLADS; however, heart rate values during extraction were significantly higher for the conventional method (p = .009). Both FPS and SEM values were found to be significantly higher for conventional ILA technique (p < .05). ILA can be an effective alternative means of anesthesia for primary molar extractions, and CCLADS devices can make ILA more effective and less painful.

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Yuille, Alan L., Peter W. Hallinan, and David S. Cohen. "Feature extraction from faces using deformable templates." International Journal of Computer Vision 8, no. 2 (August 1992): 99–111. http://dx.doi.org/10.1007/bf00127169.

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Dal Poz, A. P. "Synergy Between LiDAR and Image Data in Context of Building Extraction." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 89–93. http://dx.doi.org/10.5194/isprsarchives-xl-1-89-2014.

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This paper compares the paradigms of LiDAR and aerophotogrammetry in the context of building extraction and briefly discusses a photogrammetric strategy for refining building roof polyhedrons previously extracted from LiDAR data. In general, empirical and theoretical studies have confirmed that LiDAR-based methodologies are more suitable in extracting planar roof faces and ridges of the roof, whereas the aerophotogrammetry are more suitable in extracting building roof outlines. In order to exemplify how to explore these properties, it is presented a photogrammetric method for refining 3D building roof contours extracted from airborne LiDAR data. Examples of application are provided for this refining approach.

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Journal articles on the topic 'Facet extraction'

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