Relevant bibliographies by topics / Resource selection function (RSF)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Resource selection function (RSF)'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Resource selection function (RSF)"

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Cardozo, Sandra Vergara, Bryan Frederick John Manly, and Carlos Tadeu dos Santos Dias. "Comparation of logistic regression methods and discrete choice model in the selection of habitats." Scientia Agricola 67, no. 3 (2010): 327–33. http://dx.doi.org/10.1590/s0103-90162010000300011.

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Based on a review of most recent data analyses on resource selection by animals as well as on recent suggestions that indicate the lack of an unified statistical theory that shows how resource selection can be detected and measured, the authors suggest that the concept of resource selection function (RSF) can be the base for the development of a theory. The revision of discrete choice models (DCM) is suggested as an approximation to estimate the RSF when the choice of animal or groups of animals involves different sets of available resource units. The definition of RSF requires that the resour
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Lemaître, Jérôme, and Marc-André Villard. "Foraging patterns of pileated woodpeckers in a managed Acadian forest: a resource selection function." Canadian Journal of Forest Research 35, no. 10 (2005): 2387–93. http://dx.doi.org/10.1139/x05-148.

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We analyzed the relative influence of foraging substrate characteristics as predictors of the probability of use by the pileated woodpecker (Dryocopus pileatus L.) and determined threshold values for significant predictors. We sampled used and available substrates around 126 stations distributed in an intensively managed forest in northwestern New Brunswick, Canada. We developed a resource selection function (RSF), validated by a resampling procedure, and compared selection ratios for significant predictors. Diameter at breast height (DBH) of trees and snags was the most significant predictor,
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Richardson, Evan, Ian Stirling, and David S. Hik. "Polar bear (Ursus maritimus) maternity denning habitat in western Hudson Bay: a bottom-up approach to resource selection functions." Canadian Journal of Zoology 83, no. 6 (2005): 860–70. http://dx.doi.org/10.1139/z05-075.

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We examined habitat characteristics of 101 polar bear (Ursus maritimus Phipps, 1774) den sites and 83 adjacent unoccupied sites in western Hudson Bay, Canada, between mid-August and early October 2001 and 2002. Bears denned almost exclusively in peat banks (n = 100) along the edges of creeks, rivers, and lakes adjacent to open lichen tundra sites. Den sites differed from unoccupied sites by having greater tree cover (P = 0.002), less moss cover (P < 0.001), and less herbaceous cover (P = 0.005). The presence of tree roots improved substrate stability, providing support to den structures. De
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Dutta, S., and Y. Jhala. "Devil is in the detail: behaviorally explicit habitat selection by the Critically Endangered great Indian bustard." Endangered Species Research 45 (May 27, 2021): 55–69. http://dx.doi.org/10.3354/esr01126.

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Habitat management to accommodate ecological needs of threatened species can help abate biodiversity decline. Some species require contrasting microhabitats for different functions, and may prefer patches with ample, diverse microhabitats. We examined this problem for the Critically Endangered great Indian bustard Ardeotis nigriceps in 175 km2 breeding habitat in Kachchh, India. We developed behaviorally explicit resource selection functions (RSFs) by comparing used vs. available microhabitats using binomial generalized linear models that tested hypothesized habitat responses in an information
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Stratmann, Theresa S. M., Nandintsetseg Dejid, Justin M. Calabrese, et al. "Resource selection of a nomadic ungulate in a dynamic landscape." PLOS ONE 16, no. 2 (2021): e0246809. http://dx.doi.org/10.1371/journal.pone.0246809.

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Nomadic movements are often a consequence of unpredictable resource dynamics. However, how nomadic ungulates select dynamic resources is still understudied. Here we examined resource selection of nomadic Mongolian gazelles (Procapra gutturosa) in the Eastern Steppe of Mongolia. We used daily GPS locations of 33 gazelles tracked up to 3.5 years. We examined selection for forage during the growing season using the Normalized Difference Vegetation Index (NDVI). In winter we examined selection for snow cover which mediates access to forage and drinking water. We studied selection at the population
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Hong, Yang, Thomas Connor, Huan Luo, et al. "Spatial Utilization and Microhabitat Selection of the Snow Leopard (Panthera uncia) under Different Livestock Grazing Intensities." Earth Interactions 25, no. 1 (2021): 151–59. http://dx.doi.org/10.1175/ei-d-21-0003.1.

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AbstractThere is increasing conflict between snow leopards and humans in many protected areas, the main driver of which is the overlap in spatial utilization between snow leopards and livestock. Understanding the spatial utilization and microhabitat selection of snow leopards in areas featuring different levels of livestock grazing is important to better understand and resolve this conflict, but such studies are rare. Here, we conducted line transect and plot surveys in low- and high-grazing-disturbance areas (LGDAs and HGDAs) in Wolong National Reserve, southwestern China. We compared snow le
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Koper, Nicola, and Micheline Manseau. "A guide to developing resource selection functions from telemetry data using generalized estimating equations and generalized linear mixed models." Rangifer 32, no. 2 (2012): 195. http://dx.doi.org/10.7557/2.32.2.2269.

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Resource selection functions (RSF) are often developed using satellite (ARGOS) or Global Positioning System (GPS) telemetry datasets, which provide a large amount of highly correlated data. We discuss and compare the use of generalized linear mixed-effects models (GLMM) and generalized estimating equations (GEE) for using this type of data to develop RSFs. GLMMs directly model differences among caribou, while GEEs depend on an adjustment of the standard error to compensate for correlation of data points within individuals. Empirical standard errors, rather than model-based standard errors, mus
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CRISTESCU, BOGDAN, GORDON B. STENHOUSE, MARC SYMBALUK, SCOTT E. NIELSEN, and MARK S. BOYCE. "Wildlife habitat selection on landscapes with industrial disturbance." Environmental Conservation 43, no. 4 (2016): 327–36. http://dx.doi.org/10.1017/s0376892916000217.

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SUMMARYTechnological advancements in remote sensing and telemetry provide opportunities for assessing the effects of expanding extractive industries on animal populations. Here, we illustrate the applicability of resource selection functions (RSFs) for modelling wildlife habitat selection on industrially-disturbed landscapes. We used grizzly bears (Ursus arctos) from a threatened population in Canada and surface mining as a case study. RSF predictions based on GPS radiocollared bears (nduring mining = 7; npost mining = 9) showed that males and solitary females selected areas primarily outside
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Habib, Thomas J., David A. Moore, and Evelyn H. Merrill. "Detection and stratification approaches for aerial surveys of deer in prairie–parklands." Wildlife Research 39, no. 7 (2012): 593. http://dx.doi.org/10.1071/wr11175.

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Context For management decisions that require accurate and precise estimates of large mammal population numbers, aerial surveys are considered reliable despite their cost. However, aerial surveys may still suffer from underestimation because of undetected animals and low precision as a result of inefficient sampling designs. Aims We assess detection of two species of deer in prairie-parkland communities of western Canada and evaluate a suite of survey design features for improving the accuracy and precision of population estimates from aerial surveys. Methods Modelling detection of deer was ba
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Sergeyev, Maksim, Brock R. McMillan, Kent R. Hersey, and Randy T. Larsen. "The influence of habitat use on harvest vulnerability of cow elk (Cervus canadensis)." PLOS ONE 15, no. 11 (2020): e0242841. http://dx.doi.org/10.1371/journal.pone.0242841.

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Pressure from hunting can alter the behavior and habitat selection of game species. During hunting periods, cervids such as elk (Cervus canadensis) typically select for areas further from roads and closer to tree cover, while altering the timing of their daily activities to avoid hunters. Our objective was to determine the habitat characteristics most influential in predicting harvest risk of elk. We captured 373 female elk between January 2015 and March 2017 in the Uinta-Wasatch-Cache National Forest and surrounding area of central Utah, USA. We determined habitat selection during the hunting
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Dissertations / Theses on the topic "Resource selection function (RSF)"

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Cardozo, Sandra Vergara. "Função da probabilidade da seleção do recurso (RSPF) na seleção de habitat usando modelos de escolha discreta." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-11032009-143806/.

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Em ecologia, o comportamento dos animais é freqüentemente estudado para entender melhor suas preferências por diferentes tipos de alimento e habitat. O presente trabalho esta relacionado a este tópico, dividindo-se em três capítulos. O primeiro capitulo refere-se à estimação da função da probabilidade da seleção de recurso (RSPF) comparado com um modelo de escolha discreta (DCM) com uma escolha, usando as estatísticas qui-quadrado para obter as estimativas. As melhores estimativas foram obtidas pelo método DCM com uma escolha. No entanto, os animais não fazem a sua seleção baseados apenas em u
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Robinson, Rusty Wade. "Space Use, Resource Selection, and Survival of Reintroduced Bighorn Sheep." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6965.

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Successful management of bighorn sheep depends on understanding the mechanisms responsible for population growth or decline, habitat selection, and utilization distribution after translocations. We studied a declining population of desert bighorn sheep in the North San Rafael Swell, Utah to determine birthdates of neonates, demographics, limiting factors, population size, probable cause of death, production, and survival. We documented 19 mortalities attributed to a variety of causes including cougar predation (n = 10, 53%), bluetongue virus (n = 2, 11%), reproductive complications (n = 2, 11%
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Roever, Carrie Lynn. "Spatial determinants of habitat use, mortality and connectivity for elephant populations across southern Africa." Thesis, University of Pretoria, 2013. http://hdl.handle.net/2263/28661.

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Southern Africa contains 58% of the world’s savannah elephant population, yet 72% of their range occurs outside of protected areas. It is, therefore, important to develop management guidelines that satisfy the needs of both elephants and people while maintaining environmental heterogeneity and ecosystem processes. Managing elephants as a metapopulation may provide the solution. The goal of this thesis was then to use a habitat-based approach to identify landscape characteristics which could contribute to the functionality of a metapopulation for elephants. Using resource selection function mod
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Raymond, Kristan Marie Nicole. "Determining habitat preferences of the juvenile gopher tortoise (Gopherus polyphemus) using spatially modeled vegetation on a central Florida sandhill." [Tampa, Fla] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002255.

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Nichols, Bradley C. "Foraging Ecology of Mountain Lions in the Sierra National Forest, California." DigitalCommons@USU, 2017. https://digitalcommons.usu.edu/etd/6262.

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Studies of predator-prey and predator-predator interactions are needed to provide information for decision-making processes in land management agencies. Mountain lions (Puma concolor) are opportunistic carnivores that prey on a wide variety of species. In the Sierra National Forest, CA, they have not been studied since 1987 and their current interactions with their prey and other predators are unknown. Forest managers in this region are concerned with declines of fishers (Pekania pennanti) and studies have shown intraguild predation to be a leading cause of fisher mortality in this area. Manag
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Ingerström, Johnny. "Laid eggs in vain got eaten by a crane? : Investigating habitat selection and activity by Common cranes to consider potential impact on other wetland bird species." Thesis, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-441605.

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Wetland species are declining and efforts are being made to protect wetlands and their biodiversity. In Europe, these efforts could be hampered by the recent rise in the Western European Common crane (Grus grus) population. Increasing anecdotal evidence has raised concerns that this population increase has led to an increase in crane predation on other bird species’ eggs and chicks. This study aims to investigate, weather cranes are a potential threat to other bird species by predating on eggs and chicks, and ultimately biodiversity. Proxies, like habitat selection and time devoted to foraging
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Browne, Constance. "Habitat use of the western toad in north-central Alberta and the influence of scale." Phd thesis, 2010. http://hdl.handle.net/10048/900.

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The western toad (Anaxyrus boreas, formerly Bufo boreas) is one of many amphibian species considered to be at risk of extinction (COSEWIC status is Special Concern). I examined habitat use patterns of the western toad using several methods to gain a better understanding of its habitat requirements. I examined the relationship between relative abundance of the western toad and two sympatric amphibian species (wood frog, Lithobates sylvaticus; and boreal chorus frog, Pseudacris maculata) and habitat features at eight scales of spatial extent at 24 wetlands in the Lake Utikuma region of Alberta,
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Books on the topic "Resource selection function (RSF)"

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Managing the Training Function For Bottom Line Results: Tools, Models and Best Practices (Essential Tools Resource). Pfeiffer, 2007.

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Book chapters on the topic "Resource selection function (RSF)"

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Manly, Bryan F. J., Lyman L. McDonaldd, and Dana L. Thomas. "Estimating a resource selection function from two samples of resource units using logistic regression and discriminant function methods." In Resource Selection by Animals. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1558-2_8.

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Manly, Bryan F. J., Lyman L. McDonaldd, and Dana L. Thomas. "Estimating a resource selection probability function from a census of resource units using logistic regression." In Resource Selection by Animals. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1558-2_5.

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Manly, Bryan F. J., Lyman L. McDonaldd, and Dana L. Thomas. "Estimating a resource selection probability function from a census of resource units at several points in time using the proportional hazards model." In Resource Selection by Animals. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1558-2_6.

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Kaliannan, Maniam. "Decision Making Approach to Employee Selection." In Advances in Human Resources Management and Organizational Development. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4056-4.ch003.

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Strategic Human Resource Management is focused on the human capital as a strategic resource in achieving sustainable competitive advantage. Recruitment and selection may just be a stage in the HR function for an organization, but the potential significance of manifestation on an organization's performance, effectiveness and productivity is undeniable. Performance is clearly depicted as dependent upon selection, appraisal, rewards and development, in achieving person-job-organization fit (PJO Fit). The purpose of this research is to examine the approaches to selection or assessment methods being employed by companies in Malaysia, specifically among multi-national companies and small medium enterprises as a basis in their decision-making process. The findings of this research suggest that the majority of Malaysian organizations neither wholeheartedly accept nor reject an analytic approach but favors a hybridization approach to selection where there is a blending of both analytic and intuitive model which provides an acceptably holistic approach in their hiring judgment.
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Katou, Anastasia A. "E-Resourcing as an Effective Function of E-HRM Performance Linkage Models." In Encyclopedia of Human Resources Information Systems. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-883-3.ch054.

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Although many studies, such as Ball (2001), Chapman and Webster (2003), and West and Berman (2001) have shown how e-recruiting and e-selection, e-reward and e-relations, and e-training and e-development can be used at an human resource management (HRM) resourcing, administrative, or learning-level, respectively, the formulation of e-HRM strategies relating HRM policies with business performance have been largely neglected (Lengnick-Hall & Moritz, 2003). The major contributing factor to this negligence may be the difficulty in developing a framework that distinguishes between context, configuration, and consequences of e-HRM, due to the fact that e-HRM is functioning at different but complex and interrelated levels (Strohmeier, 2007). In this article, the inclusion of e-resourcing, and more specifically e-recruiting and e-selection, in an HRM-performance linkage model is presented. Considering that the initial intention of the development of HRM-performance linkage models was not to serve e-HRM, the scope of this article is to adapt an HRM-performance linkage model to e-HRM. To do this, an integrative framework for understanding the link between Human Resource Management and Business Performance is presented and then the integration of e-resourcing in this framework is proposed, providing thus new knowledge on effective e-HRM performance linkage models.
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Afgan, Enis, and Purushotham Bangalore. "Assisting Efficient Job Planning and Scheduling in the Grid." In Handbook of Research on Grid Technologies and Utility Computing. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-184-1.ch003.

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Grid computing has emerged as the next generation computing platform. Because of the resource heterogeneity that exists in the grid environment, user jobs experience variable performance. Grid job scheduling, or selection of appropriate mappings between resources and the application, with the goal of leveraging available capacity and imposed requirements is thus at the heart of successful grid utilization. Grid job scheduling can be viewed as a function of resource heterogeneity, resource and application availability, and application options. This chapter presents work that incorporates all of these factors to provision and present individual users with alternative job options in terms of cost and time tradeoffs. Inherently, this leads to more effective scheduling policies. To support these aims, a framework is introduced with a novel scheduling methodology that introduces new user-scheduler interaction levels and a new layer of scheduling that includes application parameter selection and parameter value optimization.
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Clements, Richard, and Ademola Abass. "10. The duties of trustees: with special reference to investment." In Complete Equity and Trusts. Oxford University Press, 2018. http://dx.doi.org/10.1093/he/9780198787549.003.0010.

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Titles in the Complete series combine extracts from a wide range of primary materials with clear explanatory text to provide readers with a complete introductory resource. Trustees have a duty to invest the trust funds to provide an income for the beneficiaries and to maintain or, indeed, increase the value of the trust. This chapter discusses the meaning of investment; the Trustee Act 2000; the duty of reasonable care and skill; investment advice and selection; the acquisition of land; the liability of trustees; exclusion of liability, ethical investment; delegation of the investment function to agents; and information for and the giving of reasons to the beneficiaries.
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Voronin, Albert N. "Vector Distribution of Limited Resources in Complex Systems." In Techno-Social Systems for Modern Economical and Governmental Infrastructures. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5586-5.ch007.

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The problem of distribution of the given global resource of the system under the constraints imposed on individual resources is considered. It is shown that the problem lies in constructing an adequate objective function for optimization of the resources distribution under their limitations. For solving the considered problem, the multicriteria optimization approach is undertaken with the nonlinear trade-off scheme. The proposed nonlinear compromise scheme has the property to adapt to the situation of multicriteria decision-making. The adaptation to the situation of a nonlinear scheme is carried out continuously, while the traditional selection of compromise schemes is done discretely that adds to subjective errors the errors, associated with the quantization compromise schemes. Model examples are given.
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"Advances in Understanding Landscape Influences on Freshwater Habitats and Biological Assemblages." In Advances in Understanding Landscape Influences on Freshwater Habitats and Biological Assemblages, edited by Lindsey A. Bruckerhoff and Keith B. Gido. American Fisheries Society, 2019. http://dx.doi.org/10.47886/9781934874561.ch9.

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<i>Abstract.</i>—Linking landscape features, both natural and human-altered, to aquatic ecosystem structure and function is a fundamental objective in landscape ecology and freshwater science, but this process is data- and resource-intensive. Quantifying how landscape stressors influence aquatic communities requires balancing logistic and financial constraints with effectively sampling the landscape to capture gradients of interest. There are a variety of ways to balance these constraints, such as using existing data, handpicked site selection, or a statistical site-selection scheme. Poor sampling design reduces statistical power; however, we do not know how differences in site-selection designs influence our ability to measure ecological responses to landscape gradients. We quantified how the distribution of sample sites across landscape gradients affected the measured responses of stream fish assemblages to these gradients at different sample sizes. Specifically, we used randomization tests to compare the variability in the responses of fish assemblage structure (species richness and composition) to catchment area and land use (agricultural land) with manipulated distributions (random, highly skewed, and uniform) of sites across these landscape gradients. Assemblage composition was more sensitive than species richness to sampling design, and we observed less variability in the detected response of assemblage composition when samples were distributed uniformly across landscape gradients, especially when sample sizes were small. Although strong responses to environmental gradients, such as species richness to catchment area, are robust to sampling distributions, large sample size and a uniform distribution of samples might help elucidate more subtle responses to environmental gradients.
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Gawanmeh, Amjad, Ahmad Alomari, Alain April, Ali Alwadi, and Sazia Parvin. "Green Evolutionary-Based Algorithm for Multiple Services Scheduling in Cloud Computing." In Advances in Business Information Systems and Analytics. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3038-1.ch003.

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The era of cloud computing allowed the instant scale up of provided services into massive capacities without the need for investing in any new on site infrastructure. Hence, the interest of this type of services has been increased, in particular, by medium scale entities who can afford to completely outsource their data-center and their infrastructure. In addition, large companies may wish to provide support for wide range of load capacities, including peak ones, however, this will require very higher costs in order to build larger data centers internally. Cloud services can provide services for these companies according to their need whether in peak load capacity of low ones. Therefore, resource sharing and provisioning is considered one of the most challenging problems in cloud based services since these services have become more numerous and dynamic. As a result, assigning tasks and services requests into available resources has become a persistent problem in cloud computing, given the large number of variables, and the increasing types of services, demand, and requirement. Scheduling services using a limited number of resources is problem that has been under study since the evolution of cloud computing. However, there are several open areas for improvements due to the large number of optimization variables. In general, the scheduling of services on available resources is considered NP complete. As a result, several heuristic based methods were proposed in order to enhance the efficiency of cloud systems. Since the problem has several optimization parameters, there are still several improvements that can be done in this area. This chapter discusses the formalization of the problem of scheduling multiple tasks by single user and multiple users, and then presents a proposed solution for each individual case. First, an algorithm is presented and evaluated for optimum schedule that allocates a number of subtasks on a given number of resources; the algorithm was shown to be linear vs. number of users. Then, an algorithm is presented to address the problem of multiple users allocations, each, with multiple subtasks. The algorithm was design using the single user allocation algorithm as a selection function. Since, this problem is known to be NP complete, heuristic based methods are usually used in order to provide better solutions. Therefore, a green evolutionary based algorithm is proposed in order to address the problem of resource allocation with large number of users. In addition, the algorithm presents allocation schedule with better utility, while the execution time is linear vs. different parameters. The results obtained in this work show that it overcomes the outcome of one of the most efficient algorithms presented in this regard that was based on game theory. Further, this method works with no restrictions on the problem parameters as opposed to game theory methods that require certain parameters restrictions on cost vector or compaction time matrix. On the other hand, the main limitation of the proposed algorithm is that it is only applicable to the scheduling problem of multiple tasks that has one price vector and one execution time vector. However, scheduling multiple users, each with subtasks that have their own price and execution time vector, is very complex problem and beyond the scope of this work, hence it will be addressed in future work.
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Conference papers on the topic "Resource selection function (RSF)"

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Hou Zheng, Yang Jin, Liu Guohui, and Wu Yi. "Selection moisture forecasting model kernel function and parameter based on support vector machine." In 2011 International Symposium on Water Resource and Environmental Protection (ISWREP). IEEE, 2011. http://dx.doi.org/10.1109/iswrep.2011.5893108.

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Dominicini, Cristina Klippel, Magnos Martinello, and Moisés Renato Nunes Ribeiro. "Programmable, Expressive, Scalable, and Agile Service Function Chaining for Edge Data Centers." In XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sbrc_estendido.2020.12417.

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Edge computing transfers processing power from large remote data centers (DCs) to distributed DCs at the edge of the network. This shift requires the ability to provide network functions virtualization (NFV) solutions that can efficiently manage and combine a large number of dynamic services in a resource-constrained DC. However, the routing mechanisms of traditional data center networks are not adequate for the dynamic composition of these services, because they are complex, rigid, subject to large delays in the propagation of control information, and limited by the size of switches' routing
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Habjan, Tatjana. "Prispevek notranjega revizorja k izboljšavam v organizaciji." In Values, Competencies and Changes in Organizations. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-442-2.21.

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The Slovenian economy did not sufficiently recognize and use the internal audit function. This is largely true for that part of the economy where internal audit is not legally defined as a key function. However, in the world, it is the internal auditor who also helps the organization in the field of making sense of values, the importance of competencies and introducing changes. These are the elements that affect the size and distance of risks and opportunities. One of the key success factors is employees. The organization needs to have the right people in the right place. Be it middle, senior
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Bullard, Kalesha, Yannick Schroecker, and Sonia Chernova. "Active Learning within Constrained Environments through Imitation of an Expert Questioner." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/283.

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Active learning agents typically employ a query selection algorithm which solely considers the agent's learning objectives. However, this may be insufficient in more realistic human domains. This work uses imitation learning to enable an agent in a constrained environment to concurrently reason about both its internal learning goals and environmental constraints externally imposed, all within its objective function. Experiments are conducted on a concept learning task to test generalization of the proposed algorithm to different environmental conditions and analyze how time and resource constr
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Boukhari, Samah, Isma Dahmani, and Mhand Hifi. "Local Branching Strategy-Based Method for the Knapsack Problem with Setup." In 4th International Conference on Computer Science and Information Technology (COMIT 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101606.

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In this paper, we propose to solve the knapsack problem with setups by combining mixed linear relaxation and local branching. The problem with setups can be seen as a generalization of 0–1 knapsack problem, where items belong to disjoint classes (or families) and can be selected only if the corresponding class is activated. The selection of a class involves setup costs and resource consumptions thus affecting both the objective function and the capacity constraint. The mixed linear relaxation can be viewed as driving problem, where it is solved by using a special blackbox solver while the loca
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Coman, Ovidiu, and Justin Onisoru. "Recent Developments on Seismic PRA." In 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48424.

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Recent developments of the Probabilistic Risk Assessment (PRA) applications have tendency to use one integrated model for Level 1 both internal and external events. In this approach external events logic models are mapped on internal model. Some relevant aspects related to selection of seismic initiating events, seismic sequences, seismic basic events, fragility analysis, development of seismic logic model and seismic quantification are discussed in the paper. Development of seismic model mapped on internal PRA model may require to define seismic basic events (and associated switches) that may
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Adamson, Göran, Lihui Wang, Magnus Holm, and Philip Moore. "Feature-Based Adaptive Manufacturing Equipment Control for Cloud Environments." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8771.

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The ideas of on-demand, scalable and pay-for-usage resource-sharing in Cloud Manufacturing are steadily attracting more interest. For implementing the concept of Manufacturing-as-a-Service in a cloud environment, description models and implementation language for resources and their capabilities are required. A standardized approach for systemized virtualization, servisilisation, retrieval, selection and composition into higher levels of functionality is necessary. For the collaborative sharing and use of networked manufacturing resources there is also a need for a control approach for distrib
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Michalakoudis, Ioannis, Peter R. N. Childs, Marco Aurisicchio, Nathan Pollpeter, and Neil Sambell. "Using Functional Analysis Diagrams as a Design Tool." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37557.

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This paper presents the process and outcomes of the pilot introduction of Functional Analysis Diagram (FAD) as a design assist tool within a Small Medium Enterprise (SME). During this study, two sets of Process Failure Mode and Effects Analysis (PFMEA) sessions were conducted using the traditional and the proposed, FAD assisted (FMEA-FAD) method developed, aiming to optimize the failure mode selection phase of the process. The results have shown that the FMEA-FAD method has significantly improved the efficiency and the effectiveness of the process. They were also consistent with previous resea
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Jarrett, Jerome P., and Tiziano Ghisu. "Balancing Configuration and Refinement in the Design of Two-Spool Multistage Compression Systems." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-26371.

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Despite many advances in both optimization methods and computational fluid dynamics, the timely automatic selection and refinement, via physics-based and empirical methods, of “optimal” configurations of compression systems remains challenging. This is due, in part, to the large number of design parameters (with associated high computational cost) operating over wide ranges that can be non-smooth, if not discontinuous (to which many optimization algorithms, developed for smooth problems, are ill-suited). It is further complicated by the phasic nature of turbomachinery design and the associated
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