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Relevant bibliographies by topics / X-kernel

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Academic literature on the topic 'X-kernel'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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Journal articles on the topic "X-kernel"

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Shi, Hu, Terry J. Siebenmorgen, Hengliang Luo, and Zephania Odek. "Fissure Detection and Measurement in Rough Rice Using X-Ray Imaging." Transactions of the ASABE 62, no. 4 (2019): 859–66. http://dx.doi.org/10.13031/trans.13043.

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Abstract. Fissures in rice kernels that develop prior to harvest and post-harvest processing significantly reduce head rice yield, a crucial parameter for evaluating rice quality and economic value in the rice industry. In this study, fissures in rough rice were revealed by scanning approximately 50 rough rice kernels at a time using an x-ray system. An algorithm was developed to detect and measure fissures in rough rice kernels in the x-ray images using the Python programming language coupled with the OpenCV library. This algorithm successfully segmented individual rice kernels in the x-ray images using the gap-filling method. The algorithm detected fissures by adaptive thresholding of each rice kernel and applying a series of filters. Data on kernel parameters (number, area, length, and width) and fissure parameters (percentage of kernels fissured and fissure number, area, and length per kernel) were produced for the images to characterize kernel size and fissuring levels of the rice sample. This algorithm demonstrated good repeatability in measuring kernel and fissure parameters, with relative standard deviations of less than 4% and 9%, respectively. The accuracy of the developed algorithm in measuring fissures was validated by visual inspection of rough rice, with a deviation of less than 2% in percentage of kernels fissured. The fissure detection and measurement algorithm provides a useful tool for quantifying fissures in rough rice samples using x-ray imaging. This information could be used to quantify fissuring levels and predict head rice yield for rough rice samples without a cumbersome milling process. Keywords: Cracks, Fissure, Imaging, Rice, X-ray.

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Odek, Zephania R., Terry J. Siebenmorgen, and Andronikos Mauromoustakos. "Relative Impact of Kernel Thickness and Moisture Content on Rice Fissuring during Drying." Applied Engineering in Agriculture 34, no. 1 (2018): 239–46. http://dx.doi.org/10.13031/aea.12513.

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Abstract.Individual kernel thickness and moisture content (MC) vary within rice panicles. These variations affect the drying characteristics of rice kernels and consequently, the milling yield. This study utilized an X-ray system augmented with an in-situ rice drying apparatus that enabled fissure detection in rough rice kernels during drying and tempering. Rough rice kernels of two long-grain cultivars (Roy J and CL XL745), each at two MC levels (20% and 16%, w.b.), were fractionated into three thickness fractions (thin <1.98 mm, medium 1.98 - 2.03 mm, and thick >2.03 mm). Kernels from each of the 12 sub-lots were dried and tempered under controlled air conditions. Fissured kernel percentages (FKP) were determined from X-ray images taken before, during, and after drying and tempering. Kernel thickness and MC both affected moisture desorption fissuring. Generally, as kernel thickness increased, the FKP increased for high-MC lots. In regards to MC, high-MC lots were more prone to fissuring than the low-MC lots. Overall, these findings highlight the role of kernel properties on fissuring during drying. Keywords: Kernel fissuring, Kernel thickness, Moisture content, Rice drying, X-ray imaging.

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Proshlyakov, A., S. Yanniotis, and J. Blahovec. "Pistachio deterioration detected by X-ray absorption." Czech Journal of Food Sciences 31, No. 2 (April 18, 2013): 126–31. http://dx.doi.org/10.17221/101/2012-cjfs.

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The measurement of the absorption coefficient of X-rays in healthy and fungus infected pistachio kernels was the main objective of this work aimed at detecting the potential injury by insects and/or fungi in the kernel. It was found that the absorption coefficient in the injured parts is about half of that in the healthy parts. The absorption coefficient is also affected by the position in the kernel due to the variations in cell dimensions and the oil and moisture contents in the kernels.  

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Odek, Zephania R., Bhagwati Prakash, and Terry J. Siebenmorgen. "X-Ray Detection of Fissures in Rough Rice Kernels." Applied Engineering in Agriculture 33, no. 5 (2017): 721–28. http://dx.doi.org/10.13031/aea.12369.

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Abstract. X-ray imaging is a viable method of fissure detection in rough rice kernels owing to the ability of X-rays to penetrate hulls, thus allowing visualization of internal rice kernel structure. Traditional methods of fissure detection are only applicable for brown and milled rice, and therefore cannot be used to study fissures developed during rough rice drying. In this study, the fissure detection capability of an X-ray system was evaluated and the relationship between head rice yield (HRY), as measured through laboratory milling, and the percentage of fissured rough rice kernels was determined. Long-grain rice lots of various cultivars were dried using heated air at 60°C, 10% relative humidity (RH) for five drying durations to produce different degrees of fissuring, and then milled to determine HRY. A strong linear correlation (R2 = 0.95) between HRY and the percentage of fissured rough rice kernels after drying was determined. This correlation confirms the substantial impact that kernel fissures have on milling yields. Overall, these findings show the effectiveness of X-ray imaging in rough rice fissure detection, which could allow for drying research that may provide a better understanding of kernel fissuring kinetics. Keywords: Fissures, Grainscope, Head rice yield, Rice drying, X-ray imaging.

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Nowosad, Piotr, and Małgorzata Charytanowicz. "Object classification using X-ray images." Journal of Computer Sciences Institute 15 (June 30, 2020): 206–13. http://dx.doi.org/10.35784/jcsi.1720.

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The main aim of the presented research was to assess the possibility of utilizing geometric features in object classification.Studies were conducted using X-ray images of kernels belonging to three different wheat varieties: Kama, Canadian andRosa. As a part of the work, image processing methods were used to determine the main geometric grain parameters,including the kernel area, kernel perimeter, kernel length and kernel width. The results indicate significant differencesbetween wheat varieties, and demonstrates the importance of their size and shape parameters in the classification process.The percentage of correctness of classification was about 92% when the k-Means algorithm was used. A classificationrate of 93% was obtain using the K-Nearest Neighbour and Support Vector Machines. Herein, the Rosa variety was betterrecognized, whilst the Canadian and Kama varieties were less successfully differentiated.

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CLARKE, J. M., and R. M. DePAUW. "WATER IMBIBITION RATE OF WHEAT KERNELS AS AFFECTED BY KERNEL COLOR, WEATHER DAMAGE, AND METHOD OF THRESHING." Canadian Journal of Plant Science 69, no. 1 (January 1, 1989): 1–7. http://dx.doi.org/10.4141/cjps89-001.

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The rate of water imbibition by wheat kernels may be related to preharvest sprouting damage and tempering times during milling. The effects of kernel color and exposure to weather damage on water imbibition rate of wheat (Triticum aestivum L.) kernels, and the effects of field vs. oven drying and hand vs. mechanial threshing on water uptake rate of HY320 wheat and Welsh triticale (X-Triticosecale Wittmack) were investigated. Rates of imbibition were determined by sequential weighings over a 32-h period of 50-kernel samples imbibing water from agar media. In HY320 wheat, the rate was faster for mechanically threshed (0.0117 g g−1 h−1) than for hand-threshed (0.0115 g g−1 h−1) samples. Threshing method did not affect imbibition rate of Welsh triticale kernels (average 0.0141 g g−1 h−1). Rate of germination was significantly greater for mechanically threshed than for hand-threshed Welsh, but there was no significant difference for HY320. Method of drying did not affect kernel water imbibition rate. Rate of imbibition was faster in nonweathered than in weathered wheat (0.0136 vs. 0.0130 g g−1 h−1). In five wheat crosses involving white and red kernel color, rate of water imbibition was not associated with the allele for kernel color. Rate was negatively correlated with kernel weight (r = 0.49**, n = 49) and kernel hardness (r = −0.29*) in the five crosses, and positively correlated with protein content (r = 0.44**). Other undetermined factors accounted for the major part of the genotypic differences in rate of imbibition.Key words: Triticum aestivum L., X-Triticosecale Wittmack, windrowing, kernel water imbibition rate, germination rate

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Moreira de Carvalho, Maria Laene, Adriaan C. van Aelst, Jan Walter van Eck, and Folkert A. Hoekstra. "Pre-harvest stress cracks in maize (Zea mays L.) kernels as characterized by visual, X-ray and low temperature scanning electron microscopical analysis: effect on kernel quality." Seed Science Research 9, no. 3 (March 1999): 227–36. http://dx.doi.org/10.1017/s0960258599000239.

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AbstractInternal cracks caused by high temperature or excessive moisture during maize (Zea mays L.) kernel development were characterized, and their effects on kernel quality were assessed. Pre-harvest stress cracks are often located near the middle of the kernel along the embryo axis, but they were also detected in other positions, irrespective of the shape of the kernel. X-ray analysis enabled visualisation of stress cracks that are invisible to the human eye and, therefore, gave a better estimate of the percentage of cracks. However, low temperature scanning electron microscopy of the surface of milled kernels revealed small cracks not noticed by visual or X-ray inspection. All kernels tested in this way had a crack of some sort in the endosperm tissue. Cracks were also frequent in the scutellum, but rare in the embryo axis. Endosperm cracks followed the boundary of the starch granules, but did not extend into the pericarp tissue. In contrast to external cracks caused by mechanical impact, pre-harvest internal stress cracks generally are not detrimental to germination and vigour. However, if the crack is located inside or perpendicular to the embryo axis, it may affect the quality of the kernel, probably by impeding nutrient translocation to the embryo.

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Hutchinson, N., and L. Peterson. "Design of the x -kernel." ACM SIGCOMM Computer Communication Review 18, no. 4 (August 1988): 65–75. http://dx.doi.org/10.1145/52325.52332.

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Khaki, Saeed, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, and Lizhi Wang. "Convolutional Neural Networks for Image-Based Corn Kernel Detection and Counting." Sensors 20, no. 9 (May 10, 2020): 2721. http://dx.doi.org/10.3390/s20092721.

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Precise in-season corn grain yield estimates enable farmers to make real-time accurate harvest and grain marketing decisions minimizing possible losses of profitability. A well developed corn ear can have up to 800 kernels, but manually counting the kernels on an ear of corn is labor-intensive, time consuming and prone to human error. From an algorithmic perspective, the detection of the kernels from a single corn ear image is challenging due to the large number of kernels at different angles and very small distance among the kernels. In this paper, we propose a kernel detection and counting method based on a sliding window approach. The proposed method detects and counts all corn kernels in a single corn ear image taken in uncontrolled lighting conditions. The sliding window approach uses a convolutional neural network (CNN) for kernel detection. Then, a non-maximum suppression (NMS) is applied to remove overlapping detections. Finally, windows that are classified as kernel are passed to another CNN regression model for finding the ( x , y ) coordinates of the center of kernel image patches. Our experiments indicate that the proposed method can successfully detect the corn kernels with a low detection error and is also able to detect kernels on a batch of corn ears positioned at different angles.

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Barreñada García, Antonio. "Evaluación de explotación de METAL X-Kernel v.3.0.3." Philologia Hispalensis 2, no. 11 (1997): 163–75. http://dx.doi.org/10.12795/ph.1997.v11.i02.13.

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Dissertations / Theses on the topic "X-kernel"

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Carstairs, Ian Ruthven. "Kernel density estimators applied to hard X-ray observations of the Crab Pulsar." Thesis, University of Southampton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315292.

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Sousa, Massáine Bandeira e. "Improving accuracy of genomic prediction in maize single-crosses through different kernels and reducing the marker dataset." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/11/11137/tde-07032018-163203/.

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In plant breeding, genomic prediction (GP) may be an efficient tool to increase the accuracy of selecting genotypes, mainly, under multi-environments trials. This approach has the advantage to increase genetic gains of complex traits and reduce costs. However, strategies are needed to increase the accuracy and reduce the bias of genomic estimated breeding values. In this context, the objectives were: i) to compare two strategies to obtain markers subsets based on marker effect regarding their impact on the prediction accuracy of genome selection; and, ii) to compare the accuracy of four GP methods including genotype × environment interaction and two kernels (GBLUP and Gaussian). We used a rice diversity panel (RICE) and two maize datasets (HEL and USP). These were evaluated for grain yield and plant height. Overall, the prediction accuracy and relative efficiency of genomic selection were increased using markers subsets, which has the potential for build fixed arrays and reduce costs with genotyping. Furthermore, using Gaussian kernel and the including G×E effect, there is an increase in the accuracy of the genomic prediction models.
No melhoramento de plantas, a predição genômica (PG) é uma eficiente ferramenta para aumentar a eficiência seletiva de genótipos, principalmente, considerando múltiplos ambientes. Esta técnica tem como vantagem incrementar o ganho genético para características complexas e reduzir os custos. Entretanto, ainda são necessárias estratégias que aumentem a acurácia e reduzam o viés dos valores genéticos genotípicos. Nesse contexto, os objetivos foram: i) comparar duas estratégias para obtenção de subconjuntos de marcadores baseado em seus efeitos em relação ao seu impacto na acurácia da seleção genômica; ii) comparar a acurácia seletiva de quatro modelos de PG incluindo o efeito de interação genótipo × ambiente (G×A) e dois kernels (GBLUP e Gaussiano). Para isso, foram usados dados de um painel de diversidade de arroz (RICE) e dois conjuntos de dados de milho (HEL e USP). Estes foram avaliados para produtividade de grãos e altura de plantas. Em geral, houve incremento da acurácia de predição e na eficiência da seleção genômica usando subconjuntos de marcadores. Estes poderiam ser utilizados para construção de arrays e, consequentemente, reduzir os custos com genotipagem. Além disso, utilizando o kernel Gaussiano e incluindo o efeito de interação G×A há aumento na acurácia dos modelos de predição genômica.

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Rough, Justin, and mikewood@deakin edu au. "A Platform for reliable computing on clusters using group communications." Deakin University. School of Computing and Mathematics, 2001. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20060412.141015.

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Shared clusters represent an excellent platform for the execution of parallel applications given their low price/performance ratio and the presence of cluster infrastructure in many organisations. The focus of recent research efforts are on parallelism management, transport and efficient access to resources, and making clusters easy to use. In this thesis, we examine reliable parallel computing on clusters. The aim of this research is to demonstrate the feasibility of developing an operating system facility providing transport fault tolerance using existing, enhanced and newly built operating system services for supporting parallel applications. In particular, we use existing process duplication and process migration services, and synthesise a group communications facility for use in a transparent checkpointing facility. This research is carried out using the methods of experimental computer science. To provide a foundation for the synthesis of the group communications and checkpointing facilities, we survey and review related work in both fields. For group communications, we examine the V Distributed System, the x-kernel and Psync, the ISIS Toolkit, and Horus. We identify a need for services that consider the placement of processes on computers in the cluster. For Checkpointing, we examine Manetho, KeyKOS, libckpt, and Diskless Checkpointing. We observe the use of remote computer memories for storing checkpoints, and the use of copy-on-write mechanisms to reduce the time to create a checkpoint of a process. We propose a group communications facility providing two sets of services: user-oriented services and system-oriented services. User-oriented services provide transparency and target application. System-oriented services supplement the user-oriented services for supporting other operating systems services and do not provide transparency. Additional flexibility is achieved by providing delivery and ordering semantics independently. An operating system facility providing transparent checkpointing is synthesised using coordinated checkpointing. To ensure a consistent set of checkpoints are generated by the facility, instead of blindly blocking the processes of a parallel application, only non-deterministic events are blocked. This allows the processes of the parallel application to continue execution during the checkpoint operation. Checkpoints are created by adapting process duplication mechanisms, and checkpoint data is transferred to remote computer memories and disk for storage using the mechanisms of process migration. The services of the group communications facility are used to coordinate the checkpoint operation, and to transport checkpoint data to remote computer memories and disk. Both the group communications facility and the checkpointing facility have been implemented in the GENESIS cluster operating system and provide proof-of-concept. GENESIS uses a microkernel and client-server based operating system architecture, and is demonstrated to provide an appropriate environment for the development of these facilities. We design a number of experiments to test the performance of both the group communications facility and checkpointing facility, and to provide proof-of-performance. We present our approach to testing, the challenges raised in testing the facilities, and how we overcome them. For group communications, we examine the performance of a number of delivery semantics. Good speed-ups are observed and system-oriented group communication services are shown to provide significant performance advantages over user-oriented semantics in the presence of packet loss. For checkpointing, we examine the scalability of the facility given different levels of resource usage and a variable number of computers. Low overheads are observed for checkpointing a parallel application. It is made clear by this research that the microkernel and client-server based cluster operating system provide an ideal environment for the development of a high performance group communications facility and a transparent checkpointing facility for generating a platform for reliable parallel computing on clusters.

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Zuzelka, Jozef. "Řízení externích zařízení na macOS s cílem zabránit úniku dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-417224.

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Práca sa zaoberá problematikou kontroly a blokovania externých zariadení v operačnom systéme Apple macOS za účelom ochrany pred únikom citlivých dát. Implementované riešenie ukazuje zvolené prístupy pre blokovanie externých a cloudových diskov. Pre blokovanie USB diskov bol použitý DiskAbitration framework, čo je najvodnejšie riešenie tohto typu úlohy. Avšak cloudové disky sú v skutočnosti synchronizované zložky a úlohu nehrajú ovládače ani strom pripojených zariadení. Ku kontrole operácií v cloudových diskoch bol použitý Endpoint Security framework. Aktuálne podporovaní cloudový poskytovatelia sú iCloud a Dropbox a prístup k nim môže byť obmedzený úplne alebo iba na čítanie. Schopnosť synchronizácie vzdialenýh zmien bola zachovaná avšak v prípade Dropboxu si to žiada nepoužívať ich aplikáciu na správu súborov.

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Niculescu, I. M., Marian Gheorghe, F. Ipate, and A. Stefanescu. "From kernel P systems to X-machines and FLAME." 2014. http://hdl.handle.net/10454/10754.

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Karunakaran, Chithra. "Soft X-ray inspection of wheat kernels to detect infestations by stored-grain insects." 2002. http://hdl.handle.net/1993/19676.

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Books on the topic "X-kernel"

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Halvorsen, Ole Henry, and Douglas Clarke. OS X and iOS Kernel Programming. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3537-8.

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OS X and IOS Kernel Programming. Apress, 2011.

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Epstein, Charles L., and Rafe Mazzeo. Holder Estimates for General Models. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691157122.003.0009.

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This chapter presents the Hölder estimates for general model problems. It first estimates solutions to heat equations for both the homogeneous Cauchy problem and the inhomogeneous problem, obtaining first and second derivative estimates in the latter case, before discussing a general result describing the off-diagonal and long-time behavior of the solution kernel for the general model. It also states a proposition summarizing the properties of the resolvent operator as an operator on the Hölder spaces. In contrast to the case of the heat equation, there is no need to assume that the data has compact support in the x-variables to prove estimates when k > 0.

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Tennant, Neil. Core Logic. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198777892.001.0001.

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Core Logic has unusual philosophical, proof-theoretic, metalogical, computational, and revision-theoretic virtues. It is an elegant kernel lying deep within Classical Logic, a canon for constructive and relevant deduction furnishing faithful formalizations of informal constructive mathematical proofs. Its classicized extension provides likewise for non-constructive mathematical reasoning. Confining one’s search to core proofs affords automated reasoners great gains in efficiency. All logico-semantical paradoxes involve only core reasoning. Core proofs are in normal form, and relevant in a highly exigent ‘vocabulary-sharing’ sense never attained before. Essential advances on the traditional Gentzenian treatment are that core natural deductions are isomorphic to their corresponding sequent proofs, and make do without the structural rules of Cut and Thinning. This ensures relevance of premises to conclusions of proofs, without loss of logical completeness. Every core proof converts any verifications of its premises into a verification of its conclusion. Core Logic makes one reassess the dogma of ‘unrestricted’ transitivity of deduction, because any core ‘restriction’ of transitivity ensures a more than compensatory payoff of epistemic gain: A core proof of A from X and one of B from {A}∪Y effectively determine a proof of B or of absurdity from some subset of X∪Y. The primitive introduction and elimination rules governing the logical operators in Core Logic are subtly different from Gentzen’s. They are obtained by smoothly extrapolating protean rules for determining truth values of sentences under interpretations. Core rules are inviolable: One needs all of them in order to revise beliefs rationally in light of new evidence.

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Book chapters on the topic "X-kernel"

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Halvorsen, Ole Henry, and Douglas Clarke. "Advanced Kernel Programming." In OS X and iOS Kernel Programming, 411–27. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3537-8_17.

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Vogl, Sebastian, Fatih Kilic, Christian Schneider, and Claudia Eckert. "X-TIER: Kernel Module Injection." In Network and System Security, 192–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38631-2_15.

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Halvorsen, Ole Henry, and Douglas Clarke. "Mac OS X and iOS." In OS X and iOS Kernel Programming, 15–38. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3537-8_2.

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Halvorsen, Ole Henry, and Douglas Clarke. "Xcode and the Kernel Development Environment." In OS X and iOS Kernel Programming, 39–49. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3537-8_3.

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Halvorsen, Ole Henry, and Douglas Clarke. "Operating System Fundamentals." In OS X and iOS Kernel Programming, 1–13. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3537-8_1.

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Halvorsen, Ole Henry, and Douglas Clarke. "Power Management." In OS X and iOS Kernel Programming, 205–21. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3537-8_10.

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Halvorsen, Ole Henry, and Douglas Clarke. "Serial Port Drivers." In OS X and iOS Kernel Programming, 223–47. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3537-8_11.

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Halvorsen, Ole Henry, and Douglas Clarke. "Audio Drivers." In OS X and iOS Kernel Programming, 249–73. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3537-8_12.

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Halvorsen, Ole Henry, and Douglas Clarke. "Networking." In OS X and iOS Kernel Programming, 275–318. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3537-8_13.

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Halvorsen, Ole Henry, and Douglas Clarke. "Storage Systems." In OS X and iOS Kernel Programming, 319–55. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3537-8_14.

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Conference papers on the topic "X-kernel"

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Hutchinson, N., and L. Peterson. "Design of the x-kernel." In Symposium proceedings. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/52324.52332.

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Orbán, Gergely Gy, and Gábor Horváth. "Kernel descriptors for chest x-ray analysis." In SPIE Medical Imaging, edited by Samuel G. Armato and Nicholas A. Petrick. SPIE, 2017. http://dx.doi.org/10.1117/12.2252846.

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Sforzo, Brandon, Katarzyna Matusik, Alan Kastengren, Christopher Powell, and Jerry M. Seitzman. "Aircraft Ignition Kernel Characterization by X-ray Radiography." In AIAA Scitech 2019 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-2246.

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Peterson, L., N. Hutchinson, S. O'Malley, and M. Abbott. "RPC in the x-Kernel: evaluating new design techniques." In the twelfth ACM symposium. New York, New York, USA: ACM Press, 1989. http://dx.doi.org/10.1145/74850.74860.

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Prates, Raphael, and William Robson Schwartz. "Matching People Across Surveillance Cameras." In XXXII Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sibgrapi.est.2019.8306.

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This work addresses the person re-identification problem, which consists on matching images of individuals captured by multiple and non-overlapping surveillance cameras. Works from literature tackle this problem proposing robust feature descriptors and matching functions, where the latter is responsible to assign the correct identity for individuals and is the focus of this work. Specifically, we propose two matching methods: the Kernel MBPLS and the Kernel X-CRC. The Kernel MBPLS is a nonlinear regression model that is scalable with respect to the number of cameras and allows the inclusion of additional labelled information (e.g., attributes). Differently, the Kernel X-CRC is a nonlinear and multitask matching function that can be used jointly with subspace learning approaches to boost the matching rates. We present an extensive experimental evaluation of both approaches in four datasets (VIPeR, PRID450S, WARD and Market-1501). Experimental results demonstrate that the Kernel MBPLS and the Kernel X-CRC outperforms approaches from literature. Furthermore, we show that the Kernel X-CRC can be successfuly applied in large-scale and multiple cameras datasets.

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Lin, Tao, and David L. Russell. "Estimating the Interaction Kernel in a Mathematical Model for a Beam With Internal Damping Mechanism." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0675.

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Abstract Beams formed by long fiber composite materials have certain internal damping torque. A mathematical model for the displacement of this type of beams in cantilever configuration is the following initial-boundary value problem of an integro-differential equation [1, 14]: (1) ρ ( x ) w t t ( x , t ) − 2 ( ∫ 0 L h ( x , y ) [ w t x ( x , t ) − w t x ( y , t ) ] d y ) x + ( E I w x x ( x , t ) ) x x = f ( x , t ) , (2) w ( 0 , t ) = 0 , w x ( 0 , t ) = 0 , (3) w x x ( L , t ) = b l 1 ( t ) , (4) − ( E I w x x ( x , t ) ) x | x = L + 2 ∫ 0 L h ( L , y ) [ w t x ( L , t ) − w t x ( y , t ) ] d y = b l 2 ( t ) , (5) w ( x , 0 ) = w 0 ( x ) , w t ( x , 0 ) = w 1 ( x ) , where L is length of the beam, w(x, t) is the transverse displacement of the beam at time t and position x, ρ(x) is the mass density, EI is the stiffness parameter. The interaction integral kernel h(x, ξ) is introduced in this model by considering a restoring torque which comes from spatially variable bending of the beam. This kernel h(x, ξ) depends on the material properties of the beam. Choosing a different material (different h(x, ξ)) can realize a different damping effect for the beam.

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Ertürk, Mehmet Ertuğrul, Cemil Kocar, Salih Gürdall, and Mehmet Tombakoğlu. "A PENCIL BEAM KERNEL MODEL FOR FLATTENING FILTER-FREE X-RAY BEAM." In RAD Conference. RAD Association, 2017. http://dx.doi.org/10.21175/radproc.2017.38.

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Fang, Yudong, Zhenfei Zhan, Junqi Yang, Jun Lu, and Chong Chen. "A Mixed-Kernel-Based Support Vector Regression Model for Automotive Body Design Optimization." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67669.

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Finite Element (FE) models are commonly used for automotive body design. However, even with increasing speed of computers, the FE-based simulation models are still too time-consuming when the models are complex. To improve the computational efficiency, SVR, a potential approximate model, has been widely used as the surrogate of FE model for crashworthiness optimization design. Generally, in the traditional SVR, when dealing with nonlinear data, the single kernel function based projection can’t fully cover data distribution characteristics. In order to eliminate the limitations of single kernel SVR, a mixed-kernel-based SVR (MKSVR) is proposed in this research. The mixed kernel is constructed based on the linear combination of radial basis kernel function and polynomial kernel function. Through the particle swarm optimization algorithm, the parameters of the mixed kernel SVR are optimized. Then the proposed MKSVR is applied to automotive body design optimization. The application of MKSVR is demonstrated by a vehicle design problem for weight reduction while satisfying safety constraints on X direction acceleration and Crush Distance. A comparison study for SVR and MKSVR in application indicates MKSVR surpasses SVR in model accuracy.

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Sun, Xuejun, Dmitry Goldgof, and Walker Land. "Robust segmentation using kernel and spatial based fuzzy c-means methods on breast x-ray images." In Medical Imaging, edited by Joseph M. Reinhardt and Josien P. W. Pluim. SPIE, 2008. http://dx.doi.org/10.1117/12.770711.

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Brunnstrom, Jesper, and Shoichi Koyama. "Kernel-Interpolation-Based Filtered-X Least Mean Square for Spatial Active Noise Control In Time Domain." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414842.

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Reports on the topic "X-kernel"

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Coriano, C., and A. R. White. t-Channel unitarity construction of small-x kernels. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/179292.

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