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1

Broschek, Jörg. "Federalism and Political Change: Canada and Germany in Historical-Institutionalist Perspective." Canadian Journal of Political Science 43, no. 1 (March 2010): 1–24. http://dx.doi.org/10.1017/s0008423909990023.

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Abstract. This paper starts from the assumption that historical institutionalism has much to offer in order to address important questions raised in the literature on comparative federalism. Historical institutionalism is a useful approach to enhancing our understanding of both the origins that drive federal system dynamics and the dynamic patterns which federal systems unfold over time. The paper conceptualizes federalism as a multi-layered political order, comprising an institutional and an ideational layer. It then introduces two models of political change, the model of path dependence and the process sequencing model, and asks how each model can contribute to explain the emergence of the federal order in Canada and Germany. I conclude that while the model of path dependence lends itself well to capturing federal system dynamics in Germany, the process sequencing model, in contrast, is better suited to explaining sources and patterns of change in Canada.Résumé. L'article part de la position que l'institutionnalisme historique constitue une source intéressante pour aborder des questions importantes issues de la littérature sur le fédéralisme comparatif. L'institutionnalisme historique est une approche utile pour élargir notre compréhension des dynamiques politiques dans les systèmes fédéraux. Cet article conceptualise le fédéralisme comme un ordre politique à plusieurs niveaux comportant une strate institutionnelle et une strate idéationnelle. Puis, deux modèles de transformation politique sont introduits : le modèle de la dépendance du sentier et un autre qui trace les diverses séquences d'un changement dont la temporalité est décisive pour les résultats. On analyse ensuite la capacité des deux modèles d'expliquer la formation d'un ordre politique fédéral en Allemagne et au Canada. L'article conclut que le modèle de la dépendance du sentier est utile pour cerner les dynamiques du système fédéral allemand tandis que le modèle des séquences temporelles est meilleur pour expliquer les sources et les transformations du fédéralisme canadien.
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O'Hara, Kevin L., and Narayanan I. Valappil. "Sapwood–leaf area prediction equations for multi-aged ponderosa pine stands in western Montana and central Oregon." Canadian Journal of Forest Research 25, no. 9 (September 1, 1995): 1553–57. http://dx.doi.org/10.1139/x95-169.

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Ponderosa pine (Pinusponderosa Dougl. ex Laws.) frequently grows in pure, multi-aged stands throughout its range. Sapwood–leaf area prediction equations were developed for multi-aged, multi-strata ponderosa pine stands in western Montana and central Oregon. No significant differences were found between equations for trees from lower or upper strata, or between equations for all trees and equations for upper or lower strata trees in either study location. These results indicate overstory ponderosa pine trees do not require significantly greater sapwood conducting tissue per unit of leaf area than understory trees. Single variable models using only sapwood area at breast height are recommended.
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3

Liu, Chun Yuan, Shi Meng Gu, and Yu Liu. "Construction of 3D Strata Model Based on the Multiple Source Data." Advanced Materials Research 671-674 (March 2013): 27–30. http://dx.doi.org/10.4028/www.scientific.net/amr.671-674.27.

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According to the raw multi-source data, all strata should be standardized. With the aid of the cubic spline interpolation function, the virtual drilling could be created. With the help of Deluanay triangulation, every stratum is turned to triangular net, namely initial stratum surface. A top triangle of stratum is connected with a corresponding bottom triangle of stratum in the net. It makes a triangular prism unit. Finally, according to certain rules, numerous triangular prism units are assembled orderly to form a geologic body. The GTP model can realize 3D strata simulation and the purpose of true three-dimensional.
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Wu, Zhi Ping, Sheng Hua Qiu, and Ying Li. "Numerical Simulation of Inclined Multi-Seam Mining Subsidence of Considered the Impact by Faults." Advanced Materials Research 250-253 (May 2011): 2135–40. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.2135.

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According to the complex mining geological condition of Shandong gentle inclined multi-seam mining, Use the three-dimensional finite element numerical analysis software to establish three-dimensional geological model under the different mining working conditions. Taking into account the impact of faults to calculate multi-seam roof strata movement and surface subsidence caused by the different mining working conditions. The level displacement & subsidence distribution curve of the reference point of surface & multi-seam roof strata under the different working conditions is shown. The maximum, minimum settlement, differential settlement and subsidence diagram is shown. And the principal stress, shear stress value of surface & multi-seam roof strata after mining also is shown. The results showed that: little change of the biggest surface subsidence and differential settlement is caused by mining 3101&3102 face or separate 3101 or 3102 face. And the largest subsidence, and the settlement difference of the surface is 520mm, 498mm, 515mm and 59mm, 78mm, 81mm, Respectively. It provides an reference for reasonable, safe, economic for the inclined multi-seam mining under similar conditions.
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Qin, Qin, Zu-huai Wu, Yong Zang, Ben Guan, and Jinxin Zhang. "Warping deformation of 316l/q345r stainless composite plate after removal strake." World Journal of Engineering 13, no. 3 (June 13, 2016): 206–9. http://dx.doi.org/10.1108/wje-06-2016-027.

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Purpose This study aims to reduce the warping deformation of the stainless composite plate after removal strake by using a finite element method. A three-dimensional thermo-mechanical coupled elastic-plastic finite element model has been suggested by using ABAQUS to simulate the multi-pass hot rolling of stainless composite plate. Design/methodology/approach A three-dimensional thermo-mechanical coupled elastic-plastic finite element model has been suggested by using ABAQUS to simulate the multi-pass hot rolling of stainless composite plate. Warping deformation rules of 316L/Q345R stainless composite plate after removal strake have been analyzed. Moreover, the influences of some different rolling parameters on this deformation have been discussed. Findings The warping deformation just varies in the range of cladding ratio from 0.1 to 0.25. Therefore, cladding ratio does not have a great influence on warping deformation. Originality/value The results show that higher heating temperature, larger final thickness and less rolling passes are beneficial for reducing the warping deformation.
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SHEN Jiaxin, 申佳鑫, 王伟 WANG Wei, 张军英 ZHANG Junying, 陈海滨 CHEN Haibin, 郭子龙 GUO Zilong, and 张雄星 ZHANG Xiongxing. "光纤布拉格光栅与空芯光纤多模干涉混合型温度应变双参量传感器." ACTA PHOTONICA SINICA 50, no. 5 (2021): 158. http://dx.doi.org/10.3788/gzxb20215005.0506006.

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7

Zhang, Jie, Bin Wang, Wenyong Bai, and Sen Yang. "A Study on the Mechanism of Dynamic Pressure during the Combinatorial Key Strata Rock Column Instability in Shallow Multi-coal Seams." Advances in Civil Engineering 2021 (March 2, 2021): 1–11. http://dx.doi.org/10.1155/2021/6664487.

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In order to study the pressure changes and support failure in mining face under concentrated coal pillar in shallow coal seam, the concentrated coal pillar in 30105 working face of Nan Liang Coal Mine was selected as the research object. In this study, the mechanism of dynamic mine pressure in mining face under concentrated coal pillar was investigated through multiple simulation experiments, numerical simulations, and theoretical analysis. The results of similar simulation experiment indicate that the dynamic mine pressure occurred at 25 m under the concentrated coal pillar and 7 m beyond the coal pillar. The strata roof was observed with sliding down, resulting in collapse and severe fractures commonly seen in rock column. The overlying strata caused the overall subsidence and collapse synchronously, resulting in the sudden increase of the resistance of the support in the working face, and the dynamic load coefficients reach 3.4 and 3.5. The theoretical analysis indicates that the two hard strata in the overlying strata of 3−1 coal meet the theoretical criterion of the combined key strata with the concentrated coal pillar of 2−2 coal in the weak interlayer of the combined key strata. The combined key strata bear the load of the whole overlying strata. The sliding instability featured with the rock column-type fracture located in the combined key strata is considered as the primary trigger of the abnormal resistance of the support and the dynamic mine pressure in the mining face under the concentrated coal pillar. The dynamic pressure model of “combination key strata—immediate roof-support” was established, along with the dynamic load coefficient calculation related to the rock column-type fracture and instability. The characteristics of dynamic load coefficient of the rock column-type fracture and instability under different overlying rock structure conditions were analyzed, providing references and insights into mining under similar geographic conditions.
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Dodwell, T. J., G. W. Hunt, M. A. Peletier, and C. J. Budd. "Multi-layered folding with voids." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 370, no. 1965 (April 28, 2012): 1740–58. http://dx.doi.org/10.1098/rsta.2011.0340.

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In the deformation of layered materials such as geological strata, or stacks of paper, mechanical properties compete with the geometry of layering. Smooth, rounded corners lead to voids between the layers, while close packing of the layers results in geometrically induced curvature singularities. When voids are penalized by external pressure, the system is forced to trade off these competing effects, leading to sometimes striking periodic patterns. In this paper, we construct a simple model of geometrically nonlinear multi-layered structures under axial loading and pressure confinement, with non-interpenetration conditions separating the layers. Energy minimizers are characterized as solutions of a set of fourth-order nonlinear differential equations with contact-force Lagrange multipliers, or equivalently of a fourth-order free-boundary problem. We numerically investigate the solutions of this free-boundary problem and compare them with the periodic solutions observed experimentally.
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9

O'Hara, Kevin L., and Cassandra L. Kollenberg. "Stocking Control Procedures for Multiaged Lodgepole Pine Stands in the Northern Rocky Mountains." Western Journal of Applied Forestry 18, no. 1 (January 1, 2003): 15–21. http://dx.doi.org/10.1093/wjaf/18.1.15.

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Abstract Patterns of leaf area distribution in multiaged lodgepole pine stands were used to develop a stocking control model. This model, the Lodgepole Pine–Multi-aged Stocking Control Model (LPP–MASAM), allows the user to design multiaged stand structures for implementation in lodgepole pine stands in the northern Rocky Mountains. The model is suitable for designing stands with two or three age classes, or two canopy strata. These multiaged stands represent a management alternative to even-aged stands where vigorous stands exist and windthrow is not a major constraint. The model requires the user to divide stands into components such as age classes or canopy strata that are the basic unit for growing space allocation. Growing space is represented by leaf area index. Stocking regimes are assessed over a single cutting cycle using projections of volume increment, stand density and tree vigor. Example stocking regimes are provided as are internet links to access the model. West. J. Appl. For. 18(1):15–21.
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10

Haghani, Sei-Chang Oh Ali. "Testing and evaluation of a multi-commodity multi-modal network flow model for disaster relief management." Journal of Advanced Transportation 31, no. 3 (June 1997): 249–82. http://dx.doi.org/10.1002/atr.5670310304.

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11

Jacobson, Lowell D., James P. Gaska, Chen Hai-Wen, and Daniel A. Pollen. "Structural testing of multi-input linear—nonlinear cascade models for cells in macaque striate cortex." Vision Research 33, no. 5-6 (March 1993): 609–26. http://dx.doi.org/10.1016/0042-6989(93)90182-v.

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12

Parmentier, Guy, and Romain Gandia. "Redesigning the business model: from one-sided to multi-sided." Journal of Business Strategy 38, no. 2 (April 18, 2017): 52–61. http://dx.doi.org/10.1108/jbs-09-2016-0097.

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Purpose This study aims to examine the way to develop a multi-sided logic for existing business models. More precisely, the objective is to find rules for designing a multi-sided business model from a one-sided business model. Design/methodology/approach Given that business model (BM) literature and multi-sided literature do not address the complex issue of multi-sided business model design, the authors propose here a set of six redesign operations. These operations are built from a comprehension of the development and evolution of multi-sided platforms and their consequences for business model architecture. Several empirical cases illustrate each operation. Findings A process of business model redesign is proposed with three phases: setting-up a technological digital platform to support the multi-sided architecture, identifying and engaging several customer groups on the platform and linking the customer groups and structuring the revenue model. This process details the chronological order in which the redesign operations can be implemented to build a multi-sided BM. Practical implications The importance of the stage of semi-finished development of the platform, the openness of digital content, reaching the critical threshold and the combination of a dual economic model (free/paid) is highlighted. For managers, this provides better practices to successfully manage the business model redesign process. Originality/value This paper helps managers in companies, especially small and medium-sized enterprises, to profit from a multi-sided business model by proposing a way to achieve it.
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13

Powell, Larkin A. "A Multistate Capture-Recapture Model Using A Posteriori Classification to Enhance Estimation of Movement Rates." Condor 106, no. 4 (November 1, 2004): 761–67. http://dx.doi.org/10.1093/condor/106.4.761.

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AbstractBiologists commonly use multistate capture-recapture models to estimate movement and survival rates of animals. Recent improvements to genetic and stable-isotope techniques have created the potential for making a posteriori determinations of an animal's location. Here, I present a new multistate model structure that incorporates captured animals' backdated locations. To provide data for this model, I developed a computer simulation in which birds moved between two geographic strata during three time periods. Birds were captured and assigned mortality, and multistate capture histories were recorded. I enhanced capture histories for birds using data from simulated stable-isotope analyses. I then used the modified multistate model to estimate survival, movement, and recapture probabilities. I evaluated the ability of stable-isotope data to more precisely estimate movement over a range of recapture and movement rates. In each of nine simulations, information from stable isotopes improved the precision of the movement estimate; estimates and precision of survival and recapture rates did not change. As real stable-isotope data sets become available, this estimation model may be useful to biologists interested in improving precision of movement rates among geographic strata.Un Modelo Multi-Estado de Captura-Recaptura Usando Clasificación A Posteriori para Potenciar la Estimación de Tasas de MovimientoResumen. Los biólogos usan generalmente modelos multi-estado de captura-recaptura para estimar las tasas de movimiento y supervivencia de los animales. Las mejoras recientes de las técnicas genéticas y de isótopos estables han creado el potencial de hacer determinaciones a posteriori de la localización de un animal. Aquí presento la estructura de un nuevo modelo multi-estado que incorpora las localidades pasadas de animales capturados. Para contar con datos para este modelo, desarrollé una simulación en computadora en la cual las aves se movieron entre dos estratos geográficos durante tres períodos de tiempo. Las aves fueron capturadas y se les asignó un valor de mortalidad, y se registraron las historias de capturas multi-estado. Potencié el uso de las historias de captura de las aves empleando datos simulados de análisis de isótopos estables. Luego usé el modelo multi-estado modificado para estimar las probabilidades de supervivencia, de movimiento y de recaptura. Evalué la habilidad de los datos de isótopos estables para estimar movimiento de modo más preciso en un rango de tasas de recaptura y movimiento. En cada una de las nueve simulaciones, la información de los isótopos estables mejoró la precisión de la estimación de movimiento; las estimaciones y la precisión de las tasas de supervivencia y recaptura no variaron. A medida que estén disponibles datos reales de isótopos estables, este modelo de estimación puede ser útil para los biólogos interesados en mejorar la precisión de las tasas de movimiento entre estratos geográficos.
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14

O'Hara, Kevin L., Narayanan I. Valappil, and Linda M. Nagel. "Stocking Control Procedures for Multiaged Ponderosa Pine Stands in the Inland Northwest." Western Journal of Applied Forestry 18, no. 1 (January 1, 2003): 5–14. http://dx.doi.org/10.1093/wjaf/18.1.5.

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Abstract Multi-aged management of forest stands in western North America is a viable option in many areas where traditional even-aged management is undesirable. Procedures for guiding stocking control for multi-aged ponderosa pine (Pinus ponderosa) stands were developed using the PP-MASAM model (Ponderosa Pine–Multi-aged Stocking Assessment Model). These procedures allow the user to divide stands into components such as age classes or canopy strata that are the basic unit for growing space allocation. Growing space is represented by leaf area index. Stocking regimes are assessed over a single cutting cycle through projections of volume increment, stand density, and tree vigor. The approach is flexible for guiding stocking in ponderosa pine stands for diverse structural objectives including retention of ancient trees, development of presettlement structures, stands with two to four age classes, or stands with short or long cutting cycles. Example stocking regimes and internet links are provided to access the model. West. J. Appl. For. 18(1):5–14.
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Sarno, Emma. "A Dynamic Model Selection Procedure to Forecast Using Multi-Process Models." Journal of Forecasting 16, no. 5 (September 1997): 311–28. http://dx.doi.org/10.1002/(sici)1099-131x(199709)16:5<311::aid-for663>3.0.co;2-y.

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Weber, James, Scott Archer-Nicholls, Nathan Luke Abraham, Youngsub M. Shin, Thomas J. Bannan, Carl J. Percival, Asan Bacak, et al. "Improvements to the representation of BVOC chemistry–climate interactions in UKCA (v11.5) with the CRI-Strat 2 mechanism: incorporation and evaluation." Geoscientific Model Development 14, no. 8 (August 20, 2021): 5239–68. http://dx.doi.org/10.5194/gmd-14-5239-2021.

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Abstract. We present the first incorporation of the Common Representative Intermediates version 2.2 tropospheric chemistry mechanism, CRI v2.2, combined with stratospheric chemistry, into the global chemistry–climate United Kingdom Chemistry and Aerosols (UKCA) model to give the CRI-Strat 2 mechanism. A rigorous comparison of CRI-Strat 2 with the earlier version, CRI-Strat, is performed in UKCA in addition to an evaluation of three mechanisms, CRI-Strat 2, CRI-Strat and the standard UKCA chemical mechanism, StratTrop v1.0, against a wide array of surface and airborne chemical data. CRI-Strat 2 comprises a state-of-the-art isoprene scheme, optimized against the Master Chemical Mechanism v3.3.1, which includes isoprene peroxy radical isomerization, HOx recycling through the addition of photolabile hydroperoxy aldehydes (HPALDs), and isoprene epoxy diol (IEPOX) formation. CRI-Strat 2 also features updates to several rate constants for the inorganic chemistry, including the reactions of inorganic nitrogen and O(1D). The update to the isoprene chemistry in CRI-Strat 2 increases OH over the lowest 500 m in tropical forested regions by 30 %–50 % relative to CRI-Strat, leading to an improvement in model–observation comparisons for surface OH and isoprene relative to CRI-Strat and StratTrop. Enhanced oxidants also cause a 25 % reduction in isoprene burden and an increase in oxidation fluxes of isoprene and other biogenic volatile organic compounds (BVOCs) at low altitudes with likely impacts on subsequent aerosol formation, atmospheric lifetime, and climate. By contrast, updates to the rate constants of O(1D) with its main reactants relative to CRI-Strat reduces OH in much of the free troposphere, producing a 2 % increase in the methane lifetime, and increases the tropospheric ozone burden by 8 %, primarily from reduced loss via O(1D)+H2O. The changes to inorganic nitrogen reaction rate constants increase the NOx burden by 4 % and shift the distribution of nitrated species closer to that simulated by StratTrop. CRI-Strat 2 is suitable for multi-decadal model integrations and the improved representation of isoprene chemistry provides an opportunity to explore the consequences of HOx recycling in the United Kingdom Earth System Model (UKESM1). This new mechanism will enable a re-evaluation of the impact of BVOCs on the chemical composition of the atmosphere and further probe the feedback between the biosphere and the climate.
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Shepard, Peter. "Integrating multi-market risk models." Journal of Risk 10, no. 2 (December 2007): 25–45. http://dx.doi.org/10.21314/jor.2007.165.

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18

Hung, Y. F., and K. L. Chien. "A Multi-Class Multi-Level Capacitated Lot Sizing Model." Journal of the Operational Research Society 51, no. 11 (November 2000): 1309. http://dx.doi.org/10.2307/254215.

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Lalwani, Vaibhav, and Madhumita Chakraborty. "Multi-factor asset pricing models in emerging and developed markets." Managerial Finance 46, no. 3 (December 2, 2019): 360–80. http://dx.doi.org/10.1108/mf-12-2018-0607.

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Purpose The purpose of this paper is to compare the performance of various multifactor asset pricing models across ten emerging and developed markets. Design/methodology/approach The general methodology to test asset pricing models involves regressing test asset returns (left-hand side assets) on pricing factors (right-hand side assets). Then the performance of different models is evaluated based on how well they price multiple test assets together. The parameters used to compare relative performance of different models are their pricing errors (GRS statistic and average absolute intercepts) and explained variation (average adjusted R2). Findings The Fama-French five-factor model improves the pricing performance for stocks in Australia, Canada, China and the USA. The pricing in these countries appears to be more integrated. However, the superior performance in these four countries is not consistent across a variety of test assets and the magnitude of reduction in pricing errors vis-à-vis three- or four-factor models is often economically insignificant. For other markets, the parsimonious three-factor model or its four-factor variants appear to be more suitable. Originality/value Unlike most asset pricing studies that use test assets based on variables that are already used to construct RHS factors, this study uses test assets that are generally different from RHS sorts. This makes the tests more robust and less biased to be in favour of any multifactor model. Also, most international studies of asset pricing tests use data for different markets and combine them into regions. This study provides the evidence from ten countries separately because prior research has shown that locally constructed factors are more suitable to explain asset prices. Further, this study also tests for the usefulness of adding a quality factor in the existing asset pricing models.
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Immitzer, Markus, Martin Neuwirth, Sebastian Böck, Harald Brenner, Francesco Vuolo, and Clement Atzberger. "Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data." Remote Sensing 11, no. 22 (November 6, 2019): 2599. http://dx.doi.org/10.3390/rs11222599.

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Detailed knowledge about tree species composition is of great importance for forest management. The two identical European Space Agency (ESA) Sentinel-2 (S2) satellites provide data with unprecedented spectral, spatial and temporal resolution. Here, we investigated the potential benefits of using high temporal resolution data for classification of five coniferous and seven broadleaved tree species in a diverse Central European Forest. To run the classification, 18 cloud-free S2 acquisitions were analyzed in a two-step approach. The available scenes were first used to stratify the study area into six broad land-cover classes. Subsequently, additional classification models were created separately for the coniferous and the broadleaved forest strata. To permit a deeper analytical insight in the benefits of multi-temporal datasets for species identification, classification models were developed taking into account all 262,143 possible permutations of the 18 S2 scenes. Each model was fine-tuned using a stepwise recursive feature reduction. The additional use of vegetation indices improved the model performances by around 5 percentage points. Individual mono-temporal tree species accuracies range from 48.1% (January 2017) to 78.6% (June 2017). Compared to the best mono-temporal results, the multi-temporal analysis approach improves the out-of-bag overall accuracy from 72.9% to 85.7% for the broadleaved and from 83.8% to 95.3% for the coniferous tree species, respectively. Remarkably, a combination of six–seven scenes achieves a model quality equally high as the model based on all data; images from April until August proved most important. The classes European Beech and European Larch attain the highest user’s accuracies of 96.3% and 95.9%, respectively. The most important spectral variables to distinguish between tree species are located in the Red (coniferous) and short wave infrared (SWIR) bands (broadleaved), respectively. Overall, the study highlights the high potential of multi-temporal S2 data for species-level classifications in Central European forests.
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He, Hong-yan, Hui-ping, Zhang, and Hong-fang Luo. "Design of Multi-level Teaching System Based on Association Rule Mining." International Journal of Emerging Technologies in Learning (iJET) 11, no. 11 (November 29, 2016): 43. http://dx.doi.org/10.3991/ijet.v11i11.6252.

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In order to improve the overall performance for the multi-level teaching system, a system with Multi-strata teaching is designed. It divides the whole class into smaller parts based on their knowledge level and learning ability and teach students in accordance with their aptitude. The system used the model of C/S, and applies ASP in the interactive user interface. The data mining algorithm is also presented in the study. The system was tested with practical data. The results show that with the teaching system teachers can separate students into different parts and get a very good idea about how much students can learn.
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Guo, Changfang, Zhen Yang, Shen Li, and Jinfu Lou. "Predicting the Water-Conducting Fracture Zone (WCFZ) Height Using an MPGA-SVR Approach." Sustainability 12, no. 5 (February 28, 2020): 1809. http://dx.doi.org/10.3390/su12051809.

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Mine water that inrushes from coal-roof strata has always posed a substantial threat to mining activities every year. Therefore, an accurate prediction of the water-conducting fracture zone (WCFZ) height in the mining overburden strata is of great significance for the prevention and control of mine water accidents. The support vector regression (SVR) is proposed to predict the height of the WCFZ based on the mining depth, hard rock proportional coefficient, mining thickness and length of the working face. Simultaneously, the multi-population genetic algorithm (MPGA) is employed to search for the optimal SVR parameters. The MPGA-SVR model is trained and tested with a total of 69 collected data samples, and it is also applied to a field test. The accuracy and stability of the model were measured by the mean squared error and correlation coefficients. The obtained results show that the MPGA-SVR model achieves a higher accuracy and stability than the traditional empirical formula and genetic algorithm (GA)-SVR model. In terms of the process for optimizing the SVR parameters, the MPGA can find the optimal parameters more quickly and accurately, and it can effectively overcome the problem of premature and slow convergence of the genetic algorithm (GA). The proposed model improves the prediction accuracy and stability, which will help to avoid accidents caused by the inrush of water inrush in mining overburden strata and protect the ecological environment of the mining area.
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Amine Souissi, Mohamed, Khalid Bensaid, and Rachid Ellaia. "Multi-agent modeling and simulation of a stock market." Investment Management and Financial Innovations 15, no. 4 (November 9, 2018): 123–34. http://dx.doi.org/10.21511/imfi.15(4).2018.10.

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The stock market represents complex systems where multiple agents interact. The complexity of the environment in the financial markets in general has encouraged the use of modeling by multi-agent platforms and particularly in the case of the stock market.In this paper, an agent-based simulation model is proposed to study the behavior of the volume of market transactions. The model is based on the case of a single asset and three types of investor agents. Each investor can be a zero intelligent trader, fundamentalist trader or traders using historical information in the decision making process. The goal of the study is to simulate the behavior of a stock market according to the different considered endogenous and exogenous variables.
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Lahajnar, Sebastian, and Alenka Rožanec. "Initial Coin Offering (ICO) evaluation model." Investment Management and Financial Innovations 15, no. 4 (November 19, 2018): 169–82. http://dx.doi.org/10.21511/imfi.15(4).2018.14.

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High-tech companies operating in the field of blockchain technology use the Initial Coin Offering (ICO) to raise start-up capital. It is a fairly new, non-standardized and poorly regulated way of collecting start-up funding that can bring high yields to investors in the short term, but investors also have to be ready to take on high risks. The purpose of this article is to define a decision model for the evaluation of ICO projects, which provides a systematic, transparent, methodological approach to making decisions on investing in them. For that purpose, the authors analyzed a number of factors, which directly or indirectly influence the successful implementation of ICO projects, and the researchers extracted the most important among them (model parameters). In order to build the decision model, used a qualitative method for the hierarchical multi-parameter evaluation of DEX, which using symbolic parameters and combining functions in the form of if-then rules ensures the most freely and flexible combining assessment parameters into a uniform model. In the article, the use of proposed decision model was tested in practice on multiple ICO processes. The article details the decision-making process in the case of CargoX, and also summarizes the results of the evaluation of ICOs Tokens.net, BitClave, Neuromation and WePower.
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Mirkhorsandi, Seyedeh Sanaz, and Seyed Hamid Reza Pasandideh. "A Bi-objective Multi-Product Multi-Constraint EPQ Model in a Stochastic Environment and Partial Shortage." Journal of Advanced Manufacturing Systems 19, no. 03 (September 2020): 567–87. http://dx.doi.org/10.1142/s0219686720500274.

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One of the classical models for inventory control is economic production quantity (EPQ), which is widely used in industry. In this paper, an EPQ model with partial shortage is developed by considering the real world conditions, and costs related to the backorder demand are taken as fixed and time-dependent. In the proposed model, determination of the inventory cycle length, the length of positive inventory cycle and backordered demand rate are considered in shortage period. The aim of the presented research is to minimize the total inventory costs and the space required for storage products so that the stochastic and classic constraints including holding costs, lost sales, backorder, budget, total number of productions and average shortage times should be satisfied while optimizing the multi-objective problem. Presented model is a bi-objective nonlinear programming model. Then, to solve the proposed model, three multi-objective decision-making methods including Lp-metric, goal programming and goal attainment are used. Besides, numerical examples are executed in small, medium and large scales by use of GAMS software, and the performance of the methods is compared in terms of objective functions and required CPU time. Finally, sensitivity analysis is done to determine the effect of change in the main parameters of the model on the objective function value.
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Xia, Hong Chun, Guo Sheng Gao, and Bin Yu. "Research on the Overlying Strata in Full-Mechanized Coal Mining of Datong Jurassic Coal Multi-Layer Goaf." Advanced Materials Research 616-618 (December 2012): 402–5. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.402.

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According to the specific geological conditions in themulti-layer worked-out areas of Yongding coal seam, by the methods of integration of theoretic analysis, numerical value calculation and so on, we studied movement law of Overlaying Strata and influence of coal pillar in Coal seam mining, obtained the basic law of the overlying strata movement in multiplayer, provides a theoretical basis for the safe and efficient exploitation of the success of multiplayer. Many mining area in China is mining of closed distance coal seam group, By the impact of coal seam in the overlying, face and the tunnel roof structure will be different injury in sub-coal seam mining, Roof structure has changed greatly, even damage and easily take the roof leakage, When the the goaf communication with the overlying coal seams, caused by the induced secondary disasters such as face air leakage, Therefore, exploitation of the law of motion of the overlying strata in the multiplayer is a pressing problem. Exploitation multiplayer seam few theoretical and technical foundation at home and abroad, affecting the validity of the mining, rationality. although a lot of research on theory and technology of coal mining over the years[1~5], But it was not able to an overall comprehensive analysis of upper goaf adjacent goaf and overlying the coal pillar and present mining face, create a dynamic structural mechanics model, which is likely to cause the occurrence of disasters.
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WANG, Wei-Chih, Tymur BILOZEROV, Ren-Jye DZENG, Fan-Yi HSIAO, and Kun-Chi WANG. "CONCEPTUAL COST ESTIMATIONS USING NEURO-FUZZY AND MULTI-FACTOR EVALUATION METHODS FOR BUILDING PROJECTS." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 23, no. 1 (January 19, 2017): 1–14. http://dx.doi.org/10.3846/13923730.2014.948908.

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During the conceptual phase of a construction project, numerous uncertainties make accurate cost estimation challenging. This work develops a new model to calculate conceptual costs of building projects for effective cost control. The proposed model integrates four mathematical techniques (sub-models), namely, (1) the component ratios sub-model, (2) fuzzy adaptive learning control network (FALCON) and fast messy genetic algorithm (fmGA) based sub-model, (3) regression sub-model, and (4) multi-factor evaluation sub-model. While the FALCON- and fmGA-based sub-model trains the historical cost data, three other sub-models assess the inputs systematically to estimate the cost of a new pro­ject. This study also closely examines the behavior of the proposed model by evaluating two modified models without considering fmGA and undertaking sensitivity analysis. Evaluation results indicate that, with the ability to more thor­oughly respond to the project characteristics, the proposed model has a high probability of increasing estimation accura­cies more than the three conventional methods, i.e., average unit cost, component ratios, and linear regression methods.
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Dunn, Paul Christian, and Leonhard Blesius. "Modeling Insolation, Multi-Spectral Imagery and LiDAR Point-Cloud Metrics to Predict Plant Diversity in a Temperate Montane Forest." Geographies 1, no. 2 (August 23, 2021): 79–103. http://dx.doi.org/10.3390/geographies1020006.

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Incident solar radiation (insolation) passing through the forest canopy to the ground surface is either absorbed or scattered. This phenomenon, known as radiation attenuation, is measured using the extinction coefficient (K). The amount of radiation reaching the ground surface of a given site is effectively controlled by the canopy’s surface and structure, determining its suitability for plant species. Menhinick’s and Simpson’s biodiversity indexes were selected as spatially explicit response variables for the regression equation using canopy structure metrics as predictors. Independent variables include modeled area solar radiation, LiDAR-derived canopy height, effective leaf area index data derived from multi-spectral imagery and canopy strata metrics derived from LiDAR point-cloud data. The results support the hypothesis that (1) canopy surface and strata variability may be associated with understory species diversity due to radiation attenuation and the resultant habitat partitioning and that, (2) such a model can predict both this relationship and biodiversity clustering. The study data yielded significant correlations between predictor and response variables and were used to produce a multiple–linear model comprising canopy relief, the texture of heights, and vegetation density to predict understory plant diversity. When analyzed for spatial autocorrelation, the predicted biodiversity data exhibited non-random spatial continuity.
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Grover, Brigitte E., Mike Bokalo, and Ken J. Greenway. "White spruce understory protection: From planning to growth and yield." Forestry Chronicle 90, no. 01 (January 2014): 35–43. http://dx.doi.org/10.5558/tfc2014-008.

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A large component of the boreal mixedwood forest is comprised of aspen and white spruce mixtures of varying proportions and ages. The slower growing white spruce usually starts as an understory component but will succeed to a white sprucedominated stand after aspen break-up. Since both species are utilized by the forest industry, one method of maximizing total yield is to protect the unmerchantable white spruce understory while harvesting the merchantable aspen overstory. Although some of the white spruce understory is lost when the machine corridors are harvested, future conifer yield is augmented by the accelerated growth of the protected spruce component, a result of increased light levels. In a 10 year trial comparing the growth of released versus control understory spruce, annual height growth, diameter growth and volume increment were 76%, 152% and 83% higher, respectively, for the released conifer compared to the control. In order to account for the yield implications in timber supply analysis, accurate forecasts of future stand development can only be obtained through the use of a forest growth model since long-term data are not available. The Mixedwood Growth Model (MGM) has a unique architecture that allows for the modeling of various strata in understory protection stands. This “multi-strata” modeling approach was used to forecast the combined yield of all the strata, including the impact of adjacent strata with regards to light availability. Operational examples of understory protection, data on white spruce release and aspen regeneration, as well as modeled volume forecasts are presented.
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Egorov, V. V. "Multi-criteria path rationalization in the conditions of multi-type passenger transport systems." Vestnik Universiteta, no. 5 (July 6, 2021): 109–16. http://dx.doi.org/10.26425/1816-4277-2021-5-109-116.

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The article proposes methods of searching passenger travel routes in conditions where one or more optimization criteria must be taken into account in the presence of a pedestrian system and multi-type transport systems with their topologies, sets of parameters and tariff plans. The author carried out the research by means of mathematical modeling of the transport system in the form of its deterministic graph model. The author chose Dijk-stra's algorithm as the basic algorithm, on the basis of which the modifications of the previous ones were carried out and the construction of a new search technique was carried out. As a result, the study obtained algorithms for solving single-criteria and multi-criteria problems on graphs. For multicriterial problems, the author used the convolution method and the method of ordering criteria by the degree of decreasing their significance. The field of application of the developed algorithms is information systems focused on the end user and on the structures that design and manage transport networks.
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Li, Wenliang, Qing Sun, Weiping Wang, Shisong Qu, Zhengxian Zhang, and Qiaoyi Xu. "Effective water quantity of multi-source water recharging aquifers in Yufuhe River based on groundwater and surface water semi-coupled modelling." Water Supply 19, no. 8 (August 1, 2019): 2280–87. http://dx.doi.org/10.2166/ws.2019.109.

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Abstract With rapid urbanisation, a karst water recharge area of the Jinan spring catchment was damaged. Thus, managed aquifer recharge projects were built in the western Jinan spring catchment to protect the water supply of the spring. Yufuhe River was selected as the study area to compute the effective recharge rate into karst aquifers. This strong seepage zone has a large gradient and undergoes a specific hydrogeological condition in which two strata of a gravel layer and limestone change to three strata of gravel, impermeable clay shale and limestone at the open window of the karst aquifers. A hydraulic model called HEC-RAS was applied to simulate the river stage, and a numerical groundwater model called HYDRUS-3D was adopted to simulate the groundwater mound dynamics and estimate river flow seepage into the aquifers. The effective recharge rates are 64.9%, 65.2% and 68.1% when the buried depths of groundwater are 40, 30 and 25 m. An analysis of the electric conductivity, water table, temperature and water volume data found an effective recharge rate of 68.3%. Results of field monitoring confirmed the accuracy of the numerical simulation and showed that most of the recharged water in the study reach can be effectively recharged into the karst aquifers.
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Ivanenko, Tetiana, Viktor Hrushko, and Anatolii Frantsuz. "Optimal investment decision making on the model of production enterprise with limited resources." Investment Management and Financial Innovations 15, no. 4 (October 23, 2018): 61–68. http://dx.doi.org/10.21511/imfi.15(4).2018.05.

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Investments are among the most important factors of national economic growth. Selection of optimal investment project is the first priority for any enterprise with limited financial resources. This study is dedicated to a choice among mutually exclusive projects, which are impossible to complete partially, so, one project must be chosen and all others must be rejected. An investor must find among all possible projects the one that allows to better achieve all investor’s aims. A mathematical model of multi-purpose multi-criteria investor decision making is proposed for investment project selection problem. Efficiency and riskiness of studied projects are evaluated using such indicators as profit, rate of return, payback period, marginal cost of capital, also taking into account subjective characteristics, namely the investor’s attitude towards financial risks, importance assessment of decision making criteria, etc. Decision making assessment methods for the situations of risk and uncertainty are applied to resolve the problem of optimal project selection, such as Wald’s pessimistic criterion, maximax optimistic criterion, as well as Hurwicz’s, Laplace’s, Bayes- Laplace, Hodges-Lehmann criteria, and Savage’s minimax risk criterion. Calculations carried out and results obtained indicate that the best investment project chosen that way will provide the highest absolute profit, despite certain disadvantages such as lower rate of return, longer payback period and higher risk than other projects.
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33

O. Amoakoh, Edmund, and Matsidiso N. Naong. "The relevance of relationship marketing model for hair salon’s competitiveness: a theoretical perspective." Problems and Perspectives in Management 15, no. 1 (March 29, 2017): 132–39. http://dx.doi.org/10.21511/ppm.15(1).2017.14.

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Relationship marketing (RM) concept seems to be best understood and embraced more by big business, while amongst myriad of small businesses it seems less prominent. This paper explores the need for RM as a determinant to hair salon’s competitiveness and growth. Hair industry in SA is declared a multi-billion dollar industry, their stagnation prompted this study. This paper contends that relationship building with customers has a profound effect on the inclination of a customer to return to the business. With the key variables of the relationship marketing model as the main determinants are namely service quality, customer satisfaction and customer retention. Increased practice of RM within this industry will enable owners to embrace entrepreneurial activities imperative for competitiveness, value creation and sustainability.
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Dhawalikar, Mahesh Narayan, V. Mariappan, P. K. Srividhya, and Vishal Kurtikar. "Multi-state failure phenomenon and analysis using semi-Markov model." International Journal of Quality & Reliability Management 35, no. 9 (October 1, 2018): 2080–91. http://dx.doi.org/10.1108/ijqrm-01-2016-0001.

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Purpose Degraded failures and sudden critical failures are quite prevalent in industries. Degradation processes commonly belong to Weibull family and critical failures are found to follow exponential distribution. Therefore, it becomes important to carry out reliability and availability analysis of such systems. From the reported literature, it is learnt that models are available for the situations where the degraded failures as well as critical failures follow exponential distribution. The purpose of this paper is to present models suitable for reliability and availability analysis of systems where the degradation process follows Weibull distribution and critical failures follow exponential distribution. Design/methodology/approach The research uses Semi-Markov modeling using the approach of method of stages which is suitable when the failure processes follow Weibull distribution. The paper considers various states of the system and uses state transition diagram to present the transition of the system among good state, degraded state and failed state. Method of stages is used to convert the semi-Markov model to Markov model. The number of stages calculated in Method of stages is usually not an integer value which needs to be round off. Method of stages thus suffers from the rounding off error. A unique approach is proposed to arrive at failure rates to reduce the error in method of stages. Periodic inspection and repairs of systems are commonly followed in industries to take care of system degradation. This paper presents models to carry out reliability and availability analysis of the systems including the case where degraded failures can be arrested by appropriate inspection and repair. Findings The proposed method for estimating the degraded failure rate can be used to reduce the error in method of stages. The models and the methodology are suitable for reliability and availability analysis of systems involving degradation which is very common in systems involving moving parts. These models are very suitable in accurately estimating the system reliability and availability which is very important in industry. The models conveniently cover the cases of degraded systems for which the model proposed by Hokstad and Frovig is not suitable. Research limitations/implications The models developed consider the systems where the repair phenomenon follows exponential and the failure mechanism follows Weibull with shape parameter greater than 1. Practical implications These models can be suitably used to deal with reliability and availability analysis of systems where the degradation process is non-exponential. Thus, the models can be practically used to meet the industrial requirement of accurately estimating the reliability and availability of degradable systems. Originality/value A unique approach is presented in this paper for estimating degraded failure rate in the method of stages which reduces the rounding error. The models presented for reliability and availability analyses can deal with degradable systems where the degradation process follows Weibull distribution, which is not possible with the model presented by Hokstad and Frovig.
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Lin, Yung-Yu, and Nai-Hsin Pan. "MULTI PERIOD PERFORMANCE ASSESSMENT MODEL FOR THE SITE PROPERTY MANAGEMENT." International Journal of Strategic Property Management 18, no. 4 (December 8, 2014): 332–43. http://dx.doi.org/10.3846/1648715x.2014.970596.

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Performance assessment is an important task for the property management company to measure the performance of site, to evaluate and rank the sites, and to trace the main indices resulting in worse performance. Therefore, this study proposes a multi period performance assessment model. A performance scale with twelve indices is adopted to measure the site performance. The raw data can be transformed to be comparable by the proposed linear preprocessing method with specification limits. The priority is ranked by the integrated method with the technique for order preference by similarity to ideal solution and the signal-to-noise ratio. Finally, the main indices resulting in worse performance can be identified by the proposed tracing method. An illustrative example of real case is adopted to demonstrate the feasibility and practicability of the proposed model. Results show the proposed model can obtain a more reliable result.
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Wang, Zhouhang, Maen Atli, and H. Kondo Adjallah. "Coloured stochastic Petri nets modelling for the reliability and maintenance analysis of multi-state multi-unit systems." Journal of Manufacturing Technology Management 25, no. 4 (April 29, 2014): 476–90. http://dx.doi.org/10.1108/jmtm-04-2013-0045.

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Purpose – The purpose of this paper is to introduce a method for modelling the multi-state repairable systems subject to stochastic degradation processes by using the coloured stochastic Petri nets (CSPN). The method is a compact and flexible Petri nets model for multi-state repairable systems and offers an alternative to the combinatory of Markov graphs. Design/methodology/approach – The method is grounded on specific theorems used to design an algorithm for systematic construction of multi-state repairable systems models, whatever is their size. Findings – Stop and constraint functions were derived from these theorems and allow to considering k-out-of-n structure systems and to identifying the minimal cut sets, useful to monitoring the states evolution of the system. Research limitations/implications – The properties of this model will be studied, and new investigations will help to demonstrate the feasibility of the approach in real world, and more complex structure will be considered. Practical implications – The simulation models based on CSPN can be used as a tool by maintenance decision makers, for prediction of the effectiveness of maintenance strategies. Originality/value – The proposed approach and model provide an efficient tool for advanced investigations on the development and implementation of maintenance policies and strategies in real life.
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Schnürch, Simon, Torsten Kleinow, and Ralf Korn. "Clustering-Based Extensions of the Common Age Effect Multi-Population Mortality Model." Risks 9, no. 3 (March 1, 2021): 45. http://dx.doi.org/10.3390/risks9030045.

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We introduce four variants of the common age effect model proposed by Kleinow, which describes the mortality rates of multiple populations. Our model extensions are based on the assumption of multiple common age effects, each of which is shared only by a subgroup of all considered populations. This makes the models more realistic while still keeping them as parsimonious as possible, improving the goodness of fit. We apply different clustering methods to identify suitable subgroups. Some of the algorithms are borrowed from the unsupervised learning literature, while others are more domain-specific. In particular, we propose and investigate a new model with fuzzy clustering, in which each population’s individual age effect is a linear combination of a small number of age effects. Due to their good interpretability, our clustering-based models also allow some insights in the historical mortality dynamics of the populations. Numerical results and graphical illustrations of the considered models and their performance in-sample as well as out-of-sample are provided.
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Oliveira, S. R. M., E. W. Cazarini, and J. D. De Oliveira. "Multi-model for planning high-complexity spectrum." International Journal of Services, Economics and Management 3, no. 2 (2011): 170. http://dx.doi.org/10.1504/ijsem.2011.039432.

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39

Kildienė, Simona, Edmundas Kazimieras Zavadskas, and Jolanta Tamošaitienė. "COMPLEX ASSESSMENT MODEL FOR ADVANCED TECHNOLOGY DEPLOYMENT." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 20, no. 2 (April 24, 2014): 280–90. http://dx.doi.org/10.3846/13923730.2014.904813.

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The construction sector constantly offers new products, more effective technologies and novel solutions aimed at improvement of the quality of human habitats and wider distribution of technologies. Currently, effective technologies that require less time and costs for production, installation and use are gaining greater significance. Among them are construction materials and technologies with increasingly popular sustainability features. Considering the above, the article offers a complex algorithm for assessing the deployment and distribution potential of a new technology/product. For this purpose, a multi-stage model of alternatives and criteria was suggested and an analytical multi-stage evaluation model has been designed. The practical example illustrates the assessment of micro environment using a combination of AHP (Analytic Hierarchy Process) and Permutation methods. The designed multi-criteria assessment model promotes accessibility of users to a technology, new product, a part of the product and a technological process.
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40

Otranto, Edoardo. "The multi-chain Markov switching model." Journal of Forecasting 24, no. 7 (2005): 523–37. http://dx.doi.org/10.1002/for.965.

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41

Voynarenko, Mykhaylo, Mariia V. Dykha, Oksana Mykoliuk, Ludmyla Yemchuk, and Anastasiia Danilkova. "Assessment of an enterprise’s energy security based on multi-criteria tasks modeling." Problems and Perspectives in Management 16, no. 4 (October 26, 2018): 102–16. http://dx.doi.org/10.21511/ppm.16(4).2018.10.

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Today Ukrainian business entities operate in conditions of macroeconomic instability, environmental disturbance, energy dependence on risk of instable and interrupted supply and high cost of energy resources, excessive energy consumption and inefficient use of fuel and energy resources, which requires immediate actions as for finding solutions to ensure energy security. The goal of the article is to solve multi-criteria tasks focused on making managerial decisions regarding the development of enterprise energy security system based on evaluation of influence of numerous factors. As a result of this study, main components of energy security of the enterprise and most important influence factors are determined. The mathematical model of the hierarchy of factors in terms of their influence on the energy security of the enterprise with the use of graph theory is developed. Use of iterative procedure to determine the levels of hierarchy of factors allowed to assess the importance/priority of their influence on energy security of the enterprise. Thus, the developed model of hierarchy of factors based on the applied scientific and methodical approach to determine their influence on energy security of the enterprise provides the opportunity to get a detailed idea of factors interaction, interconnections and influence on energy security of the enterprise, which ultimately leads to elaboration of complex optimal/agreed managerial decisions in context of development and implementation of energy security system of the enterprise.
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42

Sumaedi, Sik, Medi Yarmen, and I. Gede Mahatma Yuda Bakti. "Healthcare service quality model." International Journal of Productivity and Performance Management 65, no. 8 (November 14, 2016): 1007–24. http://dx.doi.org/10.1108/ijppm-08-2014-0126.

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Purpose The purpose of this paper is to develop and test a multi-level healthcare service quality (HSQ) model in Jakarta, Indonesia. Design/methodology/approach The research used a quantitative research method. Data were collected via a survey with questionnaire. The respondents are 154 patients of a healthcare institution in Jakarta, Indonesia. Findings The research result shows a multi-level HSQ model. The HSQ model consists of three primary dimensions, namely, healthcare service outcome, healthcare service interaction, and healthcare service environment. Healthcare service outcome has three subdimensions, i.e. waiting time, medicine, and effectiveness. Healthcare service interaction has three dimensions, namely, soft interaction, medical personnel expertise, and hard interaction. Healthcare service environment has two dimensions, which are equipment condition and ambient condition. Research limitations/implications This research was only conducted in one healthcare institution in Jakarta, Indonesia. The data collection using convenience sampling method as well as the use of small sample size caused the limitation of the research results in representing across the customer of the healthcare institution. This study can be replicated with larger sample size and involving more healthcare institutions in order to examine the stability of the HSQ model. Practical implications Healthcare institution’s managers can use the HSQ model to monitor, measure, and improve their service quality. Originality/value There is a lack of research that develops and tests HSQ model based on multi-level approach in the context of developing country. This paper has fulfilled the gap.
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Ye, Han, Ujjal Kumar Mukherjee, Dilip Chhajed, Jason Hirsbrunner, and Collin Roloff. "Recommending encounters according to the sociodemographic characteristics of patient strata can reduce risks from type 2 diabetes." PLOS ONE 16, no. 4 (April 12, 2021): e0249084. http://dx.doi.org/10.1371/journal.pone.0249084.

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Objectives Physician encounters with patients with type 2 diabetes act as motivation for self-management and lifestyle adjustments that are indispensable for diabetes treatment. We elucidate the sociodemographic sources of variation in encounter usage and the impact of encounter usage on glucose control, which can be used to recommend encounter usage for different sociodemographic strata of patients to reduce risks from Type 2 diabetes. Data and methods We analyzed data from a multi-facility clinic in the Midwestern United States on 2124 patients with type 2 diabetes, from 95 ZIP codes. A zero-inflated Poisson model was used to estimate the effects of various ZIP-code level sociodemographic variables on the encounter usage. A multinomial logistic regression model was built to estimate the effects of physical and telephonic encounters on patients’ glucose level transitions. Results from the two models were combined in marginal effect analyses. Results and conclusions Conditional on patients’ clinical status, demographics, and insurance status, significant inequality in patient encounters exists across ZIP codes with varying sociodemographic characteristics. One additional physical encounter in a six-month period marginally increases the probability of transition from a diabetic state to a pre-diabetic state by 4.3% and from pre-diabetic to the non-diabetic state by 3.2%. Combined marginal effect analyses illustrate that a ZIP code in the lower quartile of high school graduate percentage among all ZIP codes has 1 fewer physical encounter per six months marginally compared to a ZIP code at the upper quartile, which gives 5.4% average increase in the probability of transitioning from pre-diabetic to diabetic. Our results suggest that policymakers can target particular patient groups who may have inadequate encounters to engage in diabetes care, based on their immediate environmental sociodemographic characteristics, and design programs to increase their encounters to achieve better care outcomes.
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Свирчевский and Vadim Svirchevskiy. "Altruism Economy as a Higher Step of Social Synthesis." Economics of the Firm 3, no. 1 (March 17, 2014): 69–78. http://dx.doi.org/10.12737/4895.

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Deepening civilizational divide and growing intensity of confrontation among countries of different economic might, as well as aggravating pressure on environment call for choosing an alternative model of economic development. Altruistic economics is a model of global economy based on panhuman priorities. But to implement such a model, certain supranational social synthesis is needed, that is, unification of a number of nations in order to cope with common problems. Accompanying challenges are multi-faceted, while basically feasible. The paper discusses problems of choosing public policy priorities, related to public functions, in the context of globalizing economy. Realization of these priorities is essential for developing such an economic system, which is doctrinally capable not only to reconcile interests of different classes (strata) but also to harmonize development of various national economies.
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Zhao, Zeng-hui, Wei-ming Wang, Xin Gao, and Ji-xing Yan. "Sensitivity Analysis of Mechanical Parameters of Different Rock Layers to the Stability of Coal Roadway in Soft Rock Strata." Scientific World Journal 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/869040.

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According to the geological characteristics of Xinjiang Ili mine in western area of China, a physical model of interstratified strata composed of soft rock and hard coal seam was established. Selecting the tunnel position, deformation modulus, and strength parameters of each layer as influencing factors, the sensitivity coefficient of roadway deformation to each parameter was firstly analyzed based on a Mohr-Columb strain softening model and nonlinear elastic-plastic finite element analysis. Then the effect laws of influencing factors which showed high sensitivity were further discussed. Finally, a regression model for the relationship between roadway displacements and multifactors was obtained by equivalent linear regression under multiple factors. The results show that the roadway deformation is highly sensitive to the depth of coal seam under the floor which should be considered in the layout of coal roadway; deformation modulus and strength of coal seam and floor have a great influence on the global stability of tunnel; on the contrary, roadway deformation is not sensitive to the mechanical parameters of soft roof; roadway deformation under random combinations of multi-factors can be deduced by the regression model. These conclusions provide theoretical significance to the arrangement and stability maintenance of coal roadway.
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Chandani, Priyanka, and Chetna Gupta. "An Early Multi-Criteria Risk Assessment Model." Journal of Cases on Information Technology 21, no. 2 (April 2019): 51–64. http://dx.doi.org/10.4018/jcit.2019040104.

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Accurate time and budget is an essential estimate for planning software projects correctly. Quite often, the software projects fall into unrealistic estimates and the core reason generally owes to problems with the requirement analysis. For investigating such problems, risk has to identified and assessed at the requirement engineering phase only so that defects do not seep down to other software development phases. This article proposes a multi-criteria risk assessment model to compute risk at a requirement level by computing cumulative risk score based on a weighted score assigned to each criterion. The result of comparison with other approaches and experimentation shows that using this model it is possible to predict the risk at the early phase of software development life cycle with high accuracy.
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Lauritzen, T. Z., A. E. Krukowski, and K. D. Miller. "Local Correlation-Based Circuitry Can Account for Responses to Multi-Grating Stimuli in a Model of Cat V1." Journal of Neurophysiology 86, no. 4 (October 1, 2001): 1803–15. http://dx.doi.org/10.1152/jn.2001.86.4.1803.

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In cortical simple cells of cat striate cortex, the response to a visual stimulus of the preferred orientation is partially suppressed by simultaneous presentation of a stimulus at the orthogonal orientation, an effect known as “cross-orientation inhibition.” It has been argued that this is due to the presence of inhibitory connections between cells tuned for different orientations, but intracellular studies suggest that simple cells receive inhibitory input primarily from cells with similar orientation tuning. Furthermore, response suppression can be elicited by a variety of nonpreferred stimuli at all orientations. Here we study a model circuit that was presented previously to address many aspects of simple cell orientation tuning, which is based on local intracortical connectivity between cells of similar orientation tuning. We show that this model circuit can account for many aspects of cross-orientation inhibition and, more generally, of response suppression by nonpreferred stimuli and of other nonlinear properties of responses to stimulation with multiple gratings.
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Snihur, Yuliya, and Jorge Tarzijan. "Managing complexity in a multi-business-model organization." Long Range Planning 51, no. 1 (February 2018): 50–63. http://dx.doi.org/10.1016/j.lrp.2017.06.010.

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49

Sahay, B. S. "Multi‐factor productivity measurement model for service organisation." International Journal of Productivity and Performance Management 54, no. 1 (January 2005): 7–22. http://dx.doi.org/10.1108/17410400510571419.

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50

Dubey, S. K., D. Mandloi, A. S. Gavli, A. Latwal, R. Das, and S. S. Ray. "QUALITY CHECKING OF CROP CUTTING EXPERIMENTS USING REMOTE SENSING DATA: A CASE STUDY FOR RICE CROP IN ODISHA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 461–66. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-461-2019.

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Abstract:
<p><strong>Abstract.</strong> Under Pradhan Mantri Fasal Bima Yojana (PMFBY), a large number of Crop Cutting Experiments (CCEs) were conducted by Odisha State for Kharif Rice in the year 2016 and 2017. The present study was carried out to examine the quality of the performed CCEs using statistical methods and Remote Sensing (RS) technique. Total 24389 and 34725 CCEs were conducted. After removing outliers, 22083 and 26848 CCE points were analyzed for the year 2016 and 2017, respectively. Multi-date RISAT-1 (2016) and Sentinel-1A (2017) satellite data were used for generating the Kharif Rice crop mask, which was used to get NDVI and NDWI values for Rice pixels, from MODIS VI products. The values of these indices were divided into four strata from highest A, followed by B, C, and D (Lowest Value) based on the range (minimum and maximum) of values. The CCE based yield data were then divided into four yield strata of equal proportion. Yield and RS (NDVI+NDWI) based strata were combined to examine whether the CCE Points having high yield fall under good NDVI zone or vice versa. The results showed that there was strong match between CCE strata and the vegetation index strata in both the years. Therefore, it could be be concluded that RS based indices have the capability to assess the quality/accuracy of CCEs. Furthermore, the large variety of information available with CCEs such that crop variety, crop condition, water sources, stress conditions etc., can be used as input parameters to train any model to predict better results.</p>
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