Готові списки джерел за темами / Selective parameter

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Добірка наукової літератури з теми "Selective parameter"

Автор: Grafiati
Опубліковано: 11 березня 2023

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Статті в журналах з теми "Selective parameter"

1

Gill, Wonpyong. "Computer simulation for the growing probability of additional offspring with an advantageous reversal allele in the decoupled continuous-time mutation–selection model." International Journal of Modern Physics C 27, no. 06 (May 13, 2016): 1650070. http://dx.doi.org/10.1142/s0129183116500704.

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This study calculated the growing probability of additional offspring with the advantageous reversal allele in an asymmetric sharply-peaked landscape using the decoupled continuous-time mutation–selection model. The growing probability was calculated for various population sizes, N, sequence lengths, L, selective advantages, s, fitness parameters, k and measuring parameters, C. The saturated growing probability in the stochastic region was approximately the effective selective advantage, [Formula: see text], when [Formula: see text] and [Formula: see text]. The present study suggests that the growing probability in the stochastic region in the decoupled continuous-time mutation–selection model can be described using the theoretical formula for the growing probability in the Moran two-allele model. The selective advantage ratio, which represents the ratio of the effective selective advantage to the selective advantage, does not depend on the population size, selective advantage, measuring parameter and fitness parameter; instead the selective advantage ratio decreases with the increasing sequence length.
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2

GILL, WONPYONG. "COMPUTER SIMULATION FOR THE CROSSING TIME IN A DIPLOID, ASYMMETRIC, SHARPLY-PEAKED LANDSCAPE IN THE INFINITE POPULATION LIMIT." International Journal of Modern Physics C 24, no. 01 (January 2013): 1250091. http://dx.doi.org/10.1142/s012918311250091x.

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This study calculated the crossing time in the diploid mutation–selection model in an infinite population limit for various dominance parameters, h, and selective advantages, by switching on a diploid, asymmetric, sharply-peaked landscape, from an initial state which is the steady state in a diploid, sharply-peaked landscape. The crossing time for h < 1 was found to diverge at the critical fitness parameter, which increased with increasing selective advantage and decreased with increasing sequence length. When the sequence length was increased with a fixed extension parameter, there was no crossing time for h < 1 when the sequence length was longer than the critical sequence length, which increased with increasing selective advantage. The crossing time for h ≤ 1 was found to be an exponentially increasing function of the sequence length, and the crossing time for h > 1 became saturated at a long sequence length. The crossing time decreased with increasing selective advantage, mainly because the larger selective advantage caused the increase in relative density of the reversal allele to grow exponentially at an earlier time.
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3

Spencer, Jack, Ke Chen, and Jinming Duan. "Parameter-Free Selective Segmentation With Convex Variational Methods." IEEE Transactions on Image Processing 28, no. 5 (May 2019): 2163–72. http://dx.doi.org/10.1109/tip.2018.2883521.

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4

Yang, Xiong, Ying Shu Liu, and Yong Ling Li. "Study of Adsorption Characteristics on Active Carbon for Ventilation Air Methane Separation." Advanced Materials Research 391-392 (December 2011): 1253–58. http://dx.doi.org/10.4028/www.scientific.net/amr.391-392.1253.

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Nine types of active carbon’s adsorption isotherm of nitrogen and methane at 298K, 308K and 318K were measured, and their selectivity factor and PSA sorption selection parameters were calculated. The results show the nine active carbons have desirable selective adsorption characters on methane to nitrogen. AC3 has the highest selectivity factor. It reaches to 5.11 at 298K. And AC3 is the optimal adsorbent in 9 different adsorbents. Its PSA sorption selection parameter is higher than others with the methane concentration of 0.2% at the operating pressure between 50kPa to 150kPa abs. In above conditions the higher the selectivity factor is, the higher the PSA sorption selection parameter will be.
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5

Filipovich, Oleg, and Vadim Kopp. "Simulation model of selective assembly of two parts with sorting by the estimated values." MATEC Web of Conferences 224 (2018): 01114. http://dx.doi.org/10.1051/matecconf/201822401114.

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Анотація:
The process of one-parameter selective assembly of two parts is considered. Methods for reducing the probability of sorting errors are given. It is suggested to perform the sorting process according to the values of the parameter estimates. For this estimate, a recursion algorithm (the Kalman filter) is used in each cycle. In the environment of GPSS World, a simulation model of selective acquisition and assembly of two parts for determining the parameters of the assembly process is constructed. Comparative modeling results are presented that prove the effectiveness of the algorithm for estimating parameters for selective assembly. The variants of using the algorithm and the prospects for further research are suggested.
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6

Cuesta, I. I., A. Díaz, M. A. Rojo, L. B. Peral, J. Martínez, and J. M. Alegre. "Parameter Optimisation in Selective Laser Melting on C300 Steel." Applied Sciences 12, no. 19 (September 28, 2022): 9786. http://dx.doi.org/10.3390/app12199786.

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Анотація:
Additive manufacturing (AM) of metallic materials is increasingly being adopted in numerous sectors, such as biomedicine, aerospace or automotive industries, due to its versatility in the creation of complex geometries and the minimisation of material waste when compared to traditional subtractive methods. In order to ensure a reliable operation of these parts, however, an in-depth study of the effect of additive manufacturing on mechanical properties, including tensile, fatigue and fracture resistance, is necessary. Among the vast number of methods and materials, this project is focused in one of the most promising techniques for the industry: Selective Laser Melting (SLM) for the production of a tools steel, in particular C300 steel components for the automotive sector. The main objective of this paper is to optimise some of the key parameters in the printing process, such as laser power, laser speed and hatch spacing. These variables are essential to obtain parts with good resistance. To that purpose, tensile tests were performed in 3D printed specimens, and then elastoplastic properties were extracted, organised and analysed through a design of experiments for the subsequent output fitting using the response surface methodology.
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7

Ukar, E., A. Lamikiz, L. N. Lopez De Lacalle, D. Del Pozo, F. Liebana, and A. Sanchez. "Laser polishing parameter optimisation on selective laser sintered parts." International Journal of Machining and Machinability of Materials 8, no. 3/4 (2010): 417. http://dx.doi.org/10.1504/ijmmm.2010.036148.

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8

Huxol, Andrea, and Franz-Josef Villmer. "DoE Methods for Parameter Evaluation in Selective Laser Melting." IFAC-PapersOnLine 52, no. 10 (2019): 270–75. http://dx.doi.org/10.1016/j.ifacol.2019.10.041.

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9

Liu, Junnan, and Xiaoyu Zhang. "Parameter-Adaptive Compensation (PAC) for Processing Underwater Selective Absorption." IEEE Signal Processing Letters 27 (2020): 2178–82. http://dx.doi.org/10.1109/lsp.2020.3042126.

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10

Kosterev, A. A., Y. A. Bakhirkin, F. K. Tittel, S. Blaser, Y. Bonetti, and L. Hvozdara. "Photoacoustic phase shift as a chemically selective spectroscopic parameter." Applied Physics B 78, no. 6 (April 2004): 673–76. http://dx.doi.org/10.1007/s00340-004-1519-1.

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Дисертації з теми "Selective parameter"

1

Sandgren, Niclas. "Parametric methods for frequency-selective MR spectroscopy /." Uppsala : Univ. : Dept. of Information Technology, Univ, 2004. http://www.it.uu.se/research/reports/lic/2004-001/.

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2

Pel, Joel. "A novel electrophoretic mechanism and separation parameter for selective nucleic acid concentration based on synchronous coefficient of drag alteration (SCODA)." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/13402.

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Molecular manipulation and separation techniques form the building blocks for much of fundamental science, yet many separation challenges still remain, in fields as diverse as forensics and metagenomics. This thesis presents SCODA (Synchronous Coefficient of Drag Alteration), a novel and general molecular separation and concentration technique aimed at addressing such challenges. SCODA takes advantage of physical molecular properties associated with the non‐linear response of long, charged polymers to electrophoretic fields, which define a novel parameter for DNA separation. The SCODA method is based on superposition of synchronous, time-varying electrophoretic fields, which can generate net drift of charged molecules even when the time-averaged molecule displacement generated by each field individually is zero. Such drift can only occur for molecules, such as DNA, whose motive response to electrophoretic fields is non-linear. This thesis presents the development of SCODA for extraction of DNA, and outlines the design of the instrumentation required to achieve the SCODA effect. We then demonstrate the selectivity, efficiency, and sensitivity of the technique. Contaminant rejection is also quantified for humic acids and proteins, with SCODA displaying excellent performance compared to existing technologies. Additionally, the ability of this technology to extract high molecular weight DNA is demonstrated, as is its inherent fragment length selection capability. Finally, we demonstrate two applications of this method to metagenomics projects where existing technologies performed poorly or failed altogether. The first is the extraction of high molecular weight DNA from soil, which is limited in length to fragments smaller than 50 kb with current direct extraction methods. SCODA was able to recover DNA an order of magnitude larger than this. The second application is DNA extraction from highly contaminated samples originating in the Athabasca tar sands, where existing technology had failed to recover any usable DNA. SCODA was able to recover sufficient DNA to enable the discovery of 200 putatively novel organisms.
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3

Suchý, Jan. "Zpracování vysokopevnostní hliníkové slitiny AlSi9Cu3 technologií selective laser melting." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-319259.

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Анотація:
Method selective laser melting can produce metal parts by using 3D printing. This diploma thesis deals with the influence of process parameters on the workability of AlSi9Cu3 high-strength aluminum alloy using selective laser melting. The theoretical part deals with relations between process parameters and identifies phenomena occurring during the processing of metals by this technology. It also deals with conventionally manufactured aluminum alloy AlSi9Cu3. In the work, material research is performed from single tracks tests, porosity tests with different process parameters and mechanical testing. Here are showing the trends of porosity change at scanning speed, laser power, individual laser stop distance, bulk energy, and powder quality. The workability of the material can be judged by the degree of relative density achieved. Simultaneously the values of the achieved mechanical properties of the selected process parameters are presented. The data obtained are analyzed and compared with literature.
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4

Tan, Matthias H. Y. "Contributions to quality improvement methodologies and computer experiments." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/48936.

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This dissertation presents novel methodologies for five problem areas in modern quality improvement and computer experiments, i.e., selective assembly, robust design with computer experiments, multivariate quality control, model selection for split plot experiments, and construction of minimax designs. Selective assembly has traditionally been used to achieve tight specifications on the clearance of two mating parts. Chapter 1 proposes generalizations of the selective assembly method to assemblies with any number of components and any assembly response function, called generalized selective assembly (GSA). Two variants of GSA are considered: direct selective assembly (DSA) and fixed bin selective assembly (FBSA). In DSA and FBSA, the problem of matching a batch of N components of each type to give N assemblies that minimize quality cost is formulated as axial multi-index assignment and transportation problems respectively. Realistic examples are given to show that GSA can significantly improve the quality of assemblies. Chapter 2 proposes methods for robust design optimization with time consuming computer simulations. Gaussian process models are widely employed for modeling responses as a function of control and noise factors in computer experiments. In these experiments, robust design optimization is often based on average quadratic loss computed as if the posterior mean were the true response function, which can give misleading results. We propose optimization criteria derived by taking expectation of the average quadratic loss with respect to the posterior predictive process, and methods based on the Lugannani-Rice saddlepoint approximation for constructing accurate credible intervals for the average loss. These quantities allow response surface uncertainty to be taken into account in the optimization process. Chapter 3 proposes a Bayesian method for identifying mean shifts in multivariate normally distributed quality characteristics. Multivariate quality characteristics are often monitored using a few summary statistics. However, to determine the causes of an out-of-control signal, information about which means shifted and the directions of the shifts is often needed. We propose a Bayesian approach that gives this information. For each mean, an indicator variable that indicates whether the mean shifted upwards, shifted downwards, or remained unchanged is introduced. Default prior distributions are proposed. Mean shift identification is based on the modes of the posterior distributions of the indicators, which are determined via Gibbs sampling. Chapter 4 proposes a Bayesian method for model selection in fractionated split plot experiments. We employ a Bayesian hierarchical model that takes into account the split plot error structure. Expressions for computing the posterior model probability and other important posterior quantities that require evaluation of at most two uni-dimensional integrals are derived. A novel algorithm called combined global and local search is proposed to find models with high posterior probabilities and to estimate posterior model probabilities. The proposed method is illustrated with the analysis of three real robust design experiments. Simulation studies demonstrate that the method has good performance. The problem of choosing a design that is representative of a finite candidate set is an important problem in computer experiments. The minimax criterion measures the degree of representativeness because it is the maximum distance of a candidate point to the design. Chapter 5 proposes algorithms for finding minimax designs for finite design regions. We establish the relationship between minimax designs and the classical set covering location problem in operations research, which is a binary linear program. We prove that the set of minimax distances is the set of discontinuities of the function that maps the covering radius to the optimal objective function value, and optimal solutions at the discontinuities are minimax designs. These results are employed to design efficient procedures for finding globally optimal minimax and near-minimax designs.
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5

Residori, Sara. "FABRICATION AND CHARACTERIZATION OF 3D PRINTED METALLIC OR NON-METALLIC GRAPHENE COMPOSITES." Doctoral thesis, Università degli studi di Trento, 2022. https://hdl.handle.net/11572/355324.

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Nature develops several materials with remarkable functional properties composed of comparatively simple base substances. Biological materials are often composites, which optime the conformation to their function. On the other hand, synthetic materials are designed a priori, structuring them according to the performance to be achieved. 3D printing manufacturing is the most direct method for specific component production and earmarks the sample with material and geometry designed ad-hoc for a defined purpose, starting from a biomimetic approach to functional structures. The technique has the advantage of being quick, accurate, and with a limited waste of materials. The sample printing occurs through the deposition of material layer by layer. Furthermore, the material is often a composite, which matches the characteristics of components with different geometry and properties, achieving better mechanical and physical performances. This thesis analyses the mechanics of natural and custom-made composites: the spider body and the manufacturing of metallic and non-metallic graphene composites. The spider body is investigated in different sections of the exoskeleton and specifically the fangs. The study involves the mechanical characterization of the single components by the nanoindentation technique, with a special focus on the hardness and Young's modulus. The experimental results were mapped, purposing to present an accurate comparison of the mechanical properties of the spider body. The different stiffness of components is due to the tuning of the same basic material (the cuticle, i.e. mainly composed of chitin) for achieving different mechanical functions, which have improved the animal adaptation to specific evolutive requirements. The synthetic composites, suitable for 3D printing fabrication, are metallic and non-metallic matrices combined with carbon-based fillers. Non-metallic graphene composites are multiscale compounds. Specifically, the material is a blend of acrylonitrile-butadiene-styrene (ABS) matrix and different percentages of micro-carbon fibers (MCF). In the second step, nanoscale filler of carbon nanotubes (CNT) or graphene nanoplatelets (GNP) are added to the base mixture. The production process of composite materials followed a specific protocol for the optimal procedure and the machine parameters, as also foreseen in the literature. This method allowed the control over the percentages of the different materials to be adopted and ensured a homogeneous distribution of fillers in the plastic matrix. Multiscale compounds provide the basic materials for the extrusion of fused filaments, suitable for 3D printing of the samples. The composites were tested in the configuration of compression moulded sheets, as reference tests, and also in the corresponding 3D printed specimens. The addition of the micro-filler inside the ABS matrix caused a notable increment in stiffness and a slight increase in strength, with a significant reduction in deformation at the break. Concurrently, the addition of nanofillers was very effective in improving electrical conductivity compared to pure ABS and micro-composites, even at the lowest filler content. Composites with GNP as a nano-filler had a good impact on the stiffness of the materials, while the electrical conductivity of the composites is favoured by the presence of CNTs. Moreover, the extrusion of the filament and the print of fused filament fabrication led to the creation of voids within the structure, causing a significant loss of mechanical properties and a slight improvement in the electrical conductivity of the multiscale moulded composites. The final aim of this work is the identification of 3D-printed multiscale composites capable of the best matching of mechanical and electrical properties among the different compounds proposed. Since structures with metallic matrix and high mechanical performances are suitable for aerospace and automotive industry applications, metallic graphene composites are studied in the additive manufacturing sector. A comprehensive study of the mechanical and electrical properties of an innovative copper-graphene oxide composite (Cu-GO) was developed in collaboration with Fondazione E. Amaldi, in Rome. An extensive survey campaign on the working conditions was developed, leading to the definition of an optimal protocol of printing parameters for obtaining the samples with the highest density. The composite powders were prepared following two different routes to disperse the nanofiller into Cu matrix and, afterward, were processed by selective laser melting (SLM) technique. Analyses of the morphology, macroscopic and microscopic structure, and degree of oxidation of the printed samples were performed. Samples prepared followed the mechanical mixing procedure showed a better response to the 3D printing process in all tests. The mechanical characterization has instead provided a clear increase in the resistance of the material prepared with the ultrasonicated bath method, despite the greater porosity of specimens. The interesting comparison obtained between samples from different routes highlights the influence of powder preparation and working conditions on the printing results. We hope that the research could be useful to investigate in detail the potential applications suitable for composites in different technological fields and stimulate further comparative analysis.
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6

Lascelles, Kristy Rebecca Rowe. "Evaluative conditioning : experimental parameters and selective associations." Thesis, University of Sussex, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.666768.

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7

Amezziane, Mohamed. "SMOOTHING PARAMETER SELECTION IN NONPARAMETRIC FUNCTIONAL ESTIMATION." Doctoral diss., University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3488.

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Анотація:
This study intends to build up new techniques for how to obtain completely data-driven choices of the smoothing parameter in functional estimation, within the confines of minimal assumptions. The focus of the study will be within the framework of the estimation of the distribution function, the density function and their multivariable extensions along with some of their functionals such as the location and the integrated squared derivatives.
Ph.D.
Department of Mathematics
Arts and Sciences
Mathematics
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8

COSTA, HELDER GOMES. "PARAMETER SELECTION FOR MACHINING: A MULTICRITERIA APPROACH." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1994. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=19739@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
A presente pesquisa apresenta uma inédita abordagem multi-critério aplicada a seleção de parâmetros para a usina mecânica. O modelo proposto aborda a seleção de ferramentas de corte e a otimização das condições de usinagem em múltiplos estágios (mais especificamente a seleção do avanço, da velocidade de corte e da composição de estágios de usinagem). Apresenta-se, também, um sistema computacional (SIAD_T) desenvolvido em pararelo à presente pesquisa, com o objetivo de simular a metodologia aqui proposta. Este sistema, aplicável à seleção de condições de usinagem em operações de carreamento em tornos mecânicos, é dotado das seguintes ferramentas: (i) ferramenta gráfica para entrada das características geométricas da peça a ser usinada; (ii) ferramenta gráfica para definição dos volumes unitários (estágios de usinagem); (iii) código numérico para implementação do modelo multi-critério no processo de seleção de variáveis para a usinagem dos volumes unitários; e, (v) código numérico para implementação do modelo multi-critério no processo de seleção das famílias de volumes unitários (conjuntos de volumes unitários). Além destes pontos, o presente texto apresenta uma inédita análise de sensibilidade, na qual se avalia e questiona o grau de relevância da aplicação de uma abordagem multi-critério ao processo de tomada de decisões no contexto da usinagem.
This work describes a original multicriteria approach to the machining parametes selection problem. The proposed model comprises the cutting tools selection problem and optimal parameters selection for multiple estages machining. In addition, a computacional system (SIAD_T) is developed to simulate the proposed methology implementation. This system, applicable to turning operations, has the following characteristica: (i) a graphical tool to input the geotric features of the workpiece,(ii) a graphical tool to input the unitary volumes, (iii) a numerical code to simulate the application o the multicriteria approach to the cutting tools selection process,(iv) a numerical code to simulate the application of the multicriteria approach on the machining parameters selection process, and (v) a numerical code to simulate the application of the multicriteria approach to the selection of machinable volumes (or selection of a set of unitary volumes). Finally, this work presents an analysis of the revelance of applying a multicriteria approach to decision making process concerning the machining context.
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9

Park, Yonggi. "PARAMETER SELECTION RULES FOR ILL-POSED PROBLEMS." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1574079328985475.

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10

Zvoníček, Josef. "Vývoj procesních parametrů pro zpracování hliníkové slitiny AlSi7 technologií Selective Laser Melting." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-444404.

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The diploma thesis deals with the study of the influence of process parameters of AlSi7Mg0.6 aluminum alloy processing using the additive technology Selective Laser Melting. The main objective is to clarify the influence of the individual process parameters on the resulting porosity of the material and its mechanical properties. The thesis deals with the current state of aluminum alloy processing in this way. The actual material research of the work is carried out in successive experiments from the welding test to the volume test with subsequent verification of the mechanical properties of the material. Material evaluation in the whole work is material porosity, stability of individual welds, hardness of the material and its mechanical properties. The results are compared with the literature.
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Книги з теми "Selective parameter"

1

Kramer, R. W. Guidelines for selecting seismic parameters for dam projects. Boston, Mass: Chas. T. Main, 1985.

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2

United States Committee on Large Dams. and USCOLD Committee on Earthquakes., eds. Guidelines for selecting seismic parameters for dam projects. Boston, Mass: United States Committee on Large Dams, 1985.

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3

Rao, J. Sunil. Bootstrap model selection via the cost complexity parameter in regression. Toronto, Ont: University of Toronto, Department of Statistics, 1993.

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4

Bilingual selection of syntactic knowledge: Extending the principles and parameters approach. Boston: Kluwer Academic, 1999.

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5

Reid, L. D. Flight simulation motion-base drive algorithms: Part 2 - Selecting the system parameters. [Downsview, Ont.]: Institute for Aerospace Studies, 1986.

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6

Burke, Simon P. Unit root tests of the Phillips type with data dependent selection of the lag truncation parameter. Reading: University of Reading. Department of Economics, 1993.

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7

Helmut, Reihlen, and Bergemann Uta-Christiane, eds. Liturgische Gewänder und andere Paramente im Dom zu Brandenburg. Riggisberg: Abegg-Stiftung, 2005.

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8

Evstaf'ev, Andrey, Mihail Izvarin, and Aleksandr Maznev. Dynamics of electric rolling stock. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1013692.

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The textbook describes the physical foundations, theory, principles of selection and calculation of the main parameters of spring suspension schemes, discusses the issues of fitting crews into curves, vertical dynamics of the traction drive, the use of coupling weight and vibrations of electric rolling stock. It is intended for the training of certified specialists in the direction of "Railway rolling stock".
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Evstaf'ev, Andrey, and Aleksandr Maznev. Design and dynamics of electric rolling stock. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1014666.

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The physical foundations, theory, principles of selection and calculation of the main parameters of spring suspension schemes are presented, the issues of fitting crews into curves, the dynamics of traction drive, the use of coupling weight and vibrations of electric rolling stock, and the design features of modern locomotives are considered. For students and teachers, as well as anyone interested in this topic.
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Kesoretskikh, Ivan, and Sergey Zotov. Landscape vulnerability: concept and assessment. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/1045820.

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The monograph presents a methodology for assessing the vulnerability of landscapes to external influences. A comparative analysis of the concepts of "stability", "sensitivity", "vulnerability" in relation to natural complexes. An overview of existing methods for assessing the vulnerability of natural complexes is presented. The author's method of assessing the vulnerability of landscapes to anthropogenic impacts is described. The methodology is based on: selection and justification of criteria for assessing the vulnerability of landscapes; preparation of a parametric matrix and gradation of assessment criteria in accordance with the developed vulnerability classes; calculation of weighting factors of vulnerability assessment parameters; selection of optimal territorial operational unit for landscape vulnerability assessment. The method is implemented in the GIS environment "Assessment of vulnerability of landscapes of the Kaliningrad region to anthropogenic impacts", created by the authors using modern geoinformation products. The specificity of spatial differentiation of different landscapes in terms of vulnerability to anthropogenic impacts at the regional and local levels is revealed. It is stated that the use of the methodology for assessing the vulnerability of landscapes to anthropogenic impacts and its integration into the system of nature management will ensure a balanced account of geoecological features and environmental priorities in territorial planning. It is of interest to specialists in the field of rational nature management, environmental protection, spatial planning.
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Частини книг з теми "Selective parameter"

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Tolxdorff, T., B. Breuer, L. Felsberg, R. Repges, and K. Gersonde. "A Visualization Technique for Parameter-Selective NMR Imaging." In Computer Assisted Radiology / Computergestützte Radiologie, 30–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-52247-5_6.

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Gersonde, K. "Parameter-Selective Proton NMR Imaging and Tissue Characterization In Vivo." In Nuclear Medicine in Clinical Oncology, 36–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70947-0_7.

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Felsberg, Lutz, Thomas Tolxdorff, and Klaus Gersonde. "Knowledge-Based Computer-Assisted Diagnosis in Parameter-Selective NMR Imaging." In CAR ’87 Computer Assisted Radiology, 402–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-95530-3_64.

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Stoia, Dan Ioan, Liviu Marsavina, Alexandru Cosa, and Andreea Nicoara. "Parameter Optimization for Biocompatible Polyamide Used in Selective Laser Sintering (SLS)." In Springer Proceedings in Physics, 323–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54136-1_32.

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Karthick Raja, B., R. Jegan Pravin Raja, K. Karan, R. Soundararajan, and P. Ashokavarthanan. "Parameter Optimization for Polyamide in Selective Laser Sintering Based on Mechanical Behavior." In 3D Printing and Additive Manufacturing Technologies, 217–31. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0305-0_19.

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Saito, Takahiro, Shigemitsu Anyoji, and Takashi Komatsu. "Selective Image Sharpening by Simultaneous Nonlinear-Diffusion Process with Spatially Varying Parameter Presetting." In Advances in Multimedia Information Processing - PCM 2004, 841–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30542-2_104.

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Bachinsky, Victor, Oleh Ya Vanchulyak, Alexander G. Ushenko, Yurii A. Ushenko, Alexander V. Dubolazov, Alexander Bykov, Benjamin Hogan, and Igor Meglinski. "Scale-Selective Multidimentional Polarisation Microscopy in the Post-mortem Diagnosis of Acute Myocardium Ischemia." In Multi-parameter Mueller Matrix Microscopy for the Expert Assessment of Acute Myocardium Ischemia, 23–51. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1450-7_2.

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Hernandez, A., J. A. Ibañez, and A. F. Tejerina. "A Selective Parameter for Ionic Membrane Transport Selectivity and Porosity of Several Passive Membranes." In Membranes and Membrane Processes, 93–99. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-2019-5_11.

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Tolxdorff, Thomas, Lutz Felsberg, and Klaus Gersonde. "Proton NMR Imaging: Contrast-Enhanced Images and Combination with Parameter-Selective Images by Overlay Display Technique." In CAR ’87 Computer Assisted Radiology, 3–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-95530-3_1.

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Naik, Bighnaraj, Janmenjoy Nayak, and H. S. Behera. "A FLANN Based Non-linear System Identification for Classification and Parameter Optimization Using Tournament Selective Harmony Search." In Advances in Intelligent Systems and Computing, 267–83. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2731-1_25.

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Тези доповідей конференцій з теми "Selective parameter"

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Werner, Stefan, Yih-Fang Huang, Marcello L. R. de Campos, and Visa Koivunen. "Distributed parameter estimation with selective cooperation." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4960217.

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Olah, Zoltan, Miklos Ruszinko, Reka Batorfi, and Zsolt Illyefalvi-Vitez. "Process parameter optimization of selective soldering." In 2012 IEEE 18th International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2012. http://dx.doi.org/10.1109/siitme.2012.6384359.

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Teo, K. A. D., and S. Ohno. "Optimal MMSE finite parameter model for doubly-selective channels." In GLOBECOM '05. IEEE Global Telecommunications Conference, 2005. IEEE, 2005. http://dx.doi.org/10.1109/glocom.2005.1578424.

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Luo, Shouxi, Pingzhi Fan, Ke Li, Huanlai Xing, Long Luo, and Hongfang Yu. "Fast Parameter Synchronization for Distributed Learning with Selective Multicast." In ICC 2022 - IEEE International Conference on Communications. IEEE, 2022. http://dx.doi.org/10.1109/icc45855.2022.9838266.

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Baig, Zubair A., Saad Khan, Saif Ahmed, and Mohammed H. Sqalli. "A selective parameter-based evolutionary technique for network intrusion detection." In 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2011. http://dx.doi.org/10.1109/isda.2011.6121632.

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Kanterakis, Emmanuel, and Wei Su. "Blind OFDM parameter estimation techniques in frequency-selective rayleigh channels." In 2011 IEEE Radio and Wireless Symposium (RWS). IEEE, 2011. http://dx.doi.org/10.1109/rws.2011.5725488.

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Chen, Zhaoqing. "Feature Selective Validation (FSV) Application to S-Parameter Models Directly." In 2021 IEEE 71st Electronic Components and Technology Conference (ECTC). IEEE, 2021. http://dx.doi.org/10.1109/ectc32696.2021.00289.

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Zhang, Yan, and Shuxun Wang. "New signal-selective parameter estimation approach to time-delay estimation." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by William J. Miceli. SPIE, 1998. http://dx.doi.org/10.1117/12.326752.

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Werner, S., and Yih-Fang Huang. "Time- and coefficient-selective diffusion strategies for distributed parameter estimation." In 2010 44th Asilomar Conference on Signals, Systems and Computers. IEEE, 2010. http://dx.doi.org/10.1109/acssc.2010.5757651.

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Werner, Stefan, and Yih-Fang Huang. "Time- and coefficient- selective diffusion strategies for distributed parameter estimation." In 2011 45th Asilomar Conference on Signals, Systems and Computers. IEEE, 2011. http://dx.doi.org/10.1109/acssc.2011.6190423.

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Звіти організацій з теми "Selective parameter"

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Hagedorn, D. N., K. K. Anderson, and D. B. Simpson. Statistical parameter selection for RMS Lg amplitudes. Office of Scientific and Technical Information (OSTI), May 1994. http://dx.doi.org/10.2172/10154820.

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Gamez, Joseph, Patrick Guertin, Eric Kreiger, and George Calfas. Selection parameters used in the Touchdown Point selection module for ENSITE. Engineer Research and Development Center (U.S.), October 2018. http://dx.doi.org/10.21079/11681/29604.

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Edwards, D. A., and M. J. Syphers. Parameter selection for the SSC trade-offs and optimization. Office of Scientific and Technical Information (OSTI), October 1991. http://dx.doi.org/10.2172/67463.

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Householder, Allen D., and Jonathan M. Foote. Probability-Based Parameter Selection for Black-Box Fuzz Testing. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada610472.

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Edwards, D. A., and M. J. Syphers. Selection of basic parameters for the collider rings. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/6310754.

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Honoré, Bo E., and Luojia Hu. Sample Selection Models Without Exclusion Restrictions: Parameter Heterogeneity and Partial Identification. Federal Reserve Bank of Chicago, 2022. http://dx.doi.org/10.21033/wp-2022-33.

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Koglin, J., K. Sinding, and A. Mycroft. High Strain-Rate Strength Experiments on Molybdenum for Constitutive Model Parameter Selection. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1838260.

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Vrancken, B. Influence of Process Parameters and Alloy Composition on Crack Mitigation in Selective Laser Melting. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1661041.

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Meier, D. Selecting computer models and input parameters for analysis of environmental impacts. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/394908.

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Johanson, James, and P. Jeffrey Berger. Estimates of Genetic Parameters for Calving Performance from Designed Selection Studies. Ames (Iowa): Iowa State University, January 2007. http://dx.doi.org/10.31274/ans_air-180814-793.

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