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733 results for “Scheduling”
Automated In-Store Demo Scheduling and Management
<p><a href="https://www.demo-wizard.com/"><strong>Demo Wizard</strong></a> is an in-store demo scheduling and management software. We exist to help brands and retailers take the headache out of scheduling and managing in-store product demos.</p>
Multi-shuttle crane scheduling in automated storage and retrieval systems
<p>The uploaded ".zip"-file contains 6 folders corresponding to the 6 experiments in our working paper "Multi-shuttle crane scheduling in automated storage and retrieval systems".</p> <p><br> Each of these folders contains a "results.csv" file with the data from the experiments. All but the last two columns contain information about the solved instance, the second to last column contains the objective value and the last column the runtime.</p> <p> </p> <p>Then each folder contains ".txt"-files or several folders with ".txt"-files. Each files contains one instance.</p> <p>Each instance begins with the name of the file in which it is located. Then follows an empty line, a line with the word "VEHICLE" and a new line<br> "NUMBER OF CAPACITY EMPTYING REQUIREMENTS HIGHEST SPEED LONGEST DISTANCE MAXIMUM DISTANCE". It follows a line containing the following integers: the number of vehicles, the capacity of all vehicles, the number of empty slots, the total number of requests, the speed in x dimension, the speed in y dimension, and an upper limit for the maximum distance between the I/O point and each slot.<br> Next follows a line with the text "CUSTOMER" and then a line with the text "CUSTOMER NUMBER". XCOORD. YCOORD."<br> This is followed by lines each containing a relevant slot. Each entry begins with a number that counts the entries, followed by the x-coordinate and then the y-coordinate. The first entry has the number 0 and is the I/O point. Then the customer locations follow, and then we start the restart the numbering at 1 for the following requests.</p>
Data from: Modification of reproductive schedule in response to pathogen exposure in a wild insect: support for the terminal investment hypothesis
<p>Trade-offs in the time and energy allocated to different functions, such as reproductive activities, can be driven by alterations in condition which reduce resources, often in response to extrinsic factors such as pathogens or parasites. When individuals are challenged by a pathogen they may either reduce reproduction as a cost of increasing defence mechanisms, or alternatively, modify reproductive activities so as to increase fecundity thereby minimizing the fitness costs of earlier death, a behaviour consistent with the terminal investment hypothesis (TIH). The TIH predicts that individuals with decreased likelihood of future reproduction will maximize current reproductive effort, which may include shifts in reproductive timing. We examined how wild, adult female click beetles <i>(Agriotes obscurus) </i>responded after exposure to the fungal pathogen<i>Metarhizium brunneum</i>. Field-collected beetles exposed to a high concentration of <i>M. brunneum </i>died earlier and in greater numbers than those exposed to a low concentration. Using a multi-variate approach we examined the impact of pathogen challenge on lifespan and a suite of reproductive traits. Stepdown regression analysis showed that only female lifespan differed among the fungal treatments. Fungal-induced reductions in lifespan drove changes in the reproductive schedule, characterized by a decrease in preoviposition period. Moving the start of egg laying forward allowed the females to offset the costs of a shortened lifespan. These changes suggest that there is a threshold for terminal investment which is dependent on strength of the survival threat. From an applied perspective, our findings imply that exposing adult click beetles to <i>M. brunneum </i>to reduce their population densitymight not succeed and is an approach that needs further investigation.</p>
Data from RACE: Resource Aware Cost-Efficient Scheduler for Cloud Fog Environment
<p>The quality of human life increases with increased usage of the Internet of Things (<i>IoT</i>). However, this massive use of IoT produces a large amount of data which creates a problem for data storage and analysis. Cloud computing is used to solve such issues like storage and processing requirements for data generated by IoT. However, several applications like traffic control, health observation, and games, etc., are time-sensitive and need a quick response. The delay created by sending data to the Cloud and then returning the Server response to the user of such programs has an unintended impact. To overwhelmed these limitations, the Fog computing concept was launched in 2012.</p> <p>Fog computing is an elongation of Cloud computing in which user services are extended to networking devices. In recent times the Fog computing is considered as a favorable approach to cope with the delay-sensitive applications. Moreover, Fog computing in combination with the Cloud computing model can also provide promising solutions to deal with compute-intensive applications. The scheduling challenges faced by the Fog service provider are to fulfill user requests with the maximum resource utilization of Fog devices while reducing the monetary cost of Cloud resource usage. In this research, a resource-aware scheduler has been proposed to distribute the incoming application modules to Fog devices that maximize resource utilization at the Fog layer, reduces the monetary cost of using Cloud resources with minimum execution time of applications, and minimum bandwidth usage.</p> <p>The proposed scheduler Resource Aware Cost-Efficient Scheduler (RACE) consists of two algorithms: ModuleScheduler: which categorizes the incoming application modules according to their computation and bandwidth requirements. The ModuleScheduler also creates a prioritized list considering the categories of application modules. Compare Module: Finds the suitable Fog device for modules execution in the prioritized list. The proposed scheduler (RACE) schedule the modules at the Fog layer based on their computation requirement and bandwidth requirement until the devices at the Fog layer have enough CPU capacity to accommodate the modules.</p>
Temperature-mediated plasticity in incubation schedules is unlikely to evolve to buffer embryos from climatic challenges in a seasonal songbird
<p>Phenotypic plasticity is hypothesised to facilitate adaptive responses to challenging conditions, such as those resulting from climate change. However, the key predictions of this 'rescue hypothesis', that variation in plasticity exists and can evolve to buffer unfavourable conditions, remain rare. Here, we investigate among-female variation in temperature-mediated plasticity of incubation schedules and consequences for egg temperatures using the chestnut-crowned babbler (<i>Pomatostomus ruficeps</i>) from temperate regions of inland south-eastern Australia. Given phenological advances in this seasonal breeder and thermal requirements of developing embryos (> ~25 °C, optimally ~38 °C), support for evolutionary rescue - perhaps paradoxically - requires that plasticity serves to buffer embryos more from sub-optimally low temperatures. We found significant variation in the duration of incubation bouts (mean ± SD = 27 ± 22 min) and foraging bouts (mean ± SD = 17 ± 11 min) in this maternal-only incubator. However, these patterns arose because of variation in the extent to which mothers increased on- and off-bout durations when temperatures (0-36 °C) were more favourable rather than unfavourable as required under rescue. In addition, there was a strong positive intercept-slope correlation in on-bout durations, indicating that those with stronger plastic responses incubated more at average temperatures (~19 °C). Combined, these effects reduced the functional significance of plastic responses: an individual's plasticity was neither associated with daily contributions to incubation (i.e. attentiveness) nor average egg temperatures. Our results highlight that despite significant among-individual variation in environmental-sensitivity, plasticity in parental care traits need not evolve to facilitate buffering against unfavourable conditions.</p>
Data from: Shifts in hatch dates do not provide pied flycatchers with a rapid ontogenetic route to adjust offspring time schedules to climate change
1. Environments change rapidly, and it is unclear whether organisms with complex life-styles, such as avian migrants, are able to adjust sufficiently. For understanding human impacts on ecosystem functioning, it is crucial to understand how well, and by which mechanisms species are able to adapt. 2. To improve the understanding of migrants' ability to adjust their annual timing to climate change, we investigated ontogenetic hatch date effects on adult spring migration timing and female egg laying dates. We experimentally delayed hatch dates of pied flycatchers Ficedula hypoleuca by one week in three breeding seasons by delaying incubation onset. We investigate if natural and experimental (shifts in) hatch date affected timing of recruiting individuals up to at least three years after the manipulation. 3. Spring arrival dates were positively correlated to natural variation in hatch dates in three of the five years considered, but no such effects were found in egg laying. Experiments showed that delayed hatching resulted in delayed arrival and laying only in one-year old and not in older birds. These effects were mostly observed during one of the study years. 4. The discrepancy between experimental and natural hatch date effects indicate that a causal hatch date effect is not generally responsible for the correlation between hatch date and timing during adulthood. Instead, we propose that natural hatch date effects on spring arrival arise from genetic variation in migration schedules, while delays in hatching induced carry-over effects on arrival and laying dates in offspring (e.g. the experimental effect in 2010). Strong support for year-specific expression of hatch date and delay effects on time schedules imply that trait-variation can be easily obscured. The latter may explain the lack of hatch date effects on female egg laying. 5. Our results imply that plasticity in breeding phenology does not provide pied flycatchers with a non-genetic inheritance route to rapidly advance annual cycles. Instead, plasticity may rather masks (genetic) trait-variation for selection to act on, and thereby slow down micro-evolutionary adaptation to changing environments.
Data from: Simultaneous pulsed flowering in a temperate legume: causes and consequences of multimodality in the shape of floral display schedules
1. In plants, the temporal pattern of floral displays, or display schedules, delimits an individual's mating opportunities. Thus, variation in the shape of display schedules can affect the degree of population synchrony and the strength of phenological assortative mating by flowering onset date. A good understanding of the mechanisms regulating the timing of flowering onset has been developed, but we know less about factors influencing subsequent patterns of floral display. 2. We observed unusual multimodal display schedules in temperate populations of the annual legume Chamaecrista fasciculata. Here we ask if 'flowering pulses' are simultaneous among individuals and populations and explore potential underlying mechanisms and consequences of pulsed flowering. 3 .We monitored daily flower production for individual plants from genetically divergent populations during a series of field experiments that manipulated three potential influencers of display schedule shape: average daily temperature, pollinator availability, and watering schedules. We measured floral longevity to isolate the contributions of flower retention and flower deployment to display schedules. We assessed relationships between flowering and environmental variables and compared estimates of population synchrony, individual synchrony, and the strength of assortative mating with those of 29 unimodally-flowering species from the area. 4. We observed simultaneous flowering pulses in all experiments, with peaks aligned among individuals and populations despite variation in flowering onset and/or duration. Pulses were not the result of increases in average temperature, pollinator availability, or variation in watering schedules. Seasonal fluctuations in temperature correlated with floral longevity and flower deployment, suggesting that the shape of display schedules may be plastic in response to temperature. Average population and individual synchrony differed only slightly from those of the species with unimodal schedules, while the average strength of assortative mating for flowering onset date was strongly reduced (0.21 in C. fasciculata vs. 0.35 for the 29 other species). 5. Synthesis. Researchers should take caution in assuming that components of display schedules are genetically or developmentally correlated with flowering onset. Variation in the shape of display schedules can influence patterns of gene-flow within or between populations, with potential effects on the strength of phenological assortative mating and subsequent responses to selection.
Data from: Pollination on the dark side: acoustic monitoring reveals impacts of a total solar eclipse on flight behavior and activity schedule of foraging bees
The total solar eclipse of 21 August 2017 traversed ~5000 km from coast to coast of North America. In its 90-min span, sunlight dropped by three orders of magnitude and temperature by 10–15°C. To investigate impacts of these changes on bee (Hymenoptera: Apoidea) pollinators, we monitored their flights acoustically in natural habitats of Pacific Coast, Rocky Mountain, and Midwest regions. Temperature changes during the eclipse had little impact on bee activity. Most of the explained variation (R2) in buzzing rate was attributable to changes in light intensity. Bees ceased flying during complete darkness at totality, but flight activity was unaffected by dim light in partial phases before and after totality. Flights of bees during partial phases of the eclipse lasted longer than flights made under full sun, showing that behavioral plasticity matched bee flight properties to changes in light intensity during the eclipse. Efforts of citizen scientists, including hundreds of school children, contributed to the scope and educational impact of this study.
Data from: Linking oceanographic conditions, migratory schedules and foraging behaviour during the non‐breeding season to reproductive performance in a long‐lived seabird
1. Studies of the mechanisms underlying climate-induced population changes are critically needed to better understand and accurately predict population responses to climate change. Long-lived migratory species might be particularly vulnerable to climate change as they are constrained by different climate conditions and energetic requirements during the breeding and non-breeding seasons. Yet, most studies primarily focus on the breeding season of these species lifecycle. Environmental conditions experienced in the non-breeding season may have downstream effects on the other stages of the annual lifecycle. Not investigating such effects may potentially lead to erroneous inferences about population dynamics. 2. Combining demographic and tracking data collected between 2006 and 2013 at Kerguelen Island on a long-lived migratory seabird, the Black-Browed Albatross (Thalassarche melanophris), we investigated the links between sea surface temperature during the non-breeding season and behavioural and phenological traits (at-sea behaviour and migratory schedules) while accounting for different responses between birds of different sex and reproductive status (previously failed or successful breeders). We then explored if variation in the foraging behaviour and timing of spring migration influenced subsequent reproductive performance. 3. Our results showed that foraging activity and migratory schedules varied by both sex and reproductive status suggesting different energetic requirements and constraints among individuals. Higher sea surface temperatures during late winter, assumed to reflect poor winter conditions, were associated with an earlier departure from the wintering grounds and an extended pre-breeding period. However, an earlier spring migration and an earlier return to Kerguelen grounds were associated with a lower breeding success. 4. Our results highlighted that behaviour during some periods of the non-breeding season, particularly towards the end of the wintering period and the pre-breeding period had a significant effect on the subsequent reproductive success. Therefore, caution needs to be given to all stages of the annual cycle when predicting the influence of climate on population dynamics.
Type-Aware schedules and parameters
<p>Schedules and power/performance parameters for the article "Workload Type-Aware Scheduling on big.LITTLE Platforms"</p>
A Novel Flow Shop Batch Scheduling Model for Subtractive Processing in Electronic Product Manufacturing
<p>The data is randomly generated based on real manufacturing enviroment. The data is used to evaluate the performance of algorithms proposed in our research.</p>
AI-SPRINT GPU Scheduler
<p>This repository includes the source code and the datasets used to evaluate the GPU Scheduler developed in the context of the AI-SPRINT project. The corresponding results are included in the AI-SPRINT project deliverable "D3.1 - First release and evaluation of the runtime environment".</p>
How to charge while drive: Scheduling point-to-point deliveries of an electric vehicle under overhead wiring
<p>Test data used in Section 5.2</p> <p> </p> <p>|J|_|R|_L_l_h.txt</p> <p>|J|: number of jobs<br> |R|: number of ramps<br> L: highway length<br> l: share of electrification<br> h: instance</p> <p>|J|;|R|;l;</p> <p>|J|: number of jobs<br> |R|: number of ramps<br> l: share of electrification</p> <p>Truck (C;c0;rd;r0;delta+;delta-;)</p> <p>C: maximum charge level<br> c0: initial charge level<br> rd: final position<br> r0: initial position<br> delta+: charging rate<br> delta-: consumption rate</p> <p>Path (p0=0; p1; ...; p|R|=L;)</p> <p>pr: position of ramp r</p> <p>Electrified (#;first elec?; sect):</p> <p>#: number of sections<br> elec?: true => first section electrified (alternating)<br> false => first section NOT electrified (alternating)<br> sect: list of sections<br> (Note: two directions! 0-L and L-0)</p> <p>Jobs (j;lo/delta-;ld/delta-;rd;ro)</p> <p>j: Index<br> lo/delta-: (Total travel distance beyond the highway for picking up)/consumption rate<br> ld/delta-: (Total travel distance beyond the highway for delivering)/consumption rate<br> rd: Ramp where the ECV leaves the highway to deliver<br> ro: Ramp where the ECV leaves the highway to pick up</p> <p>Jobs (ldo):</p> <p>j: Index<br> j': Index<br> ldo: Total travel distance beyond the highway for delivering job j and picking up j' with rdj = roj'<br> (>C: exceeds capacity)</p>
Hierarhical method and Dynamic Programming methods for AI-SPRINT GPU Scheduler
<p>This repository includes the source code and the datasets of the Hierarchical method and the Dynamic Programming methods used to obtain the results reported in the article "Scheduling Deep Learning Jobs Training in the Cloud: Comparing Multiple Approaches". The two methods constitute a part of the GPU Scheduler developed in the context of the AI-SPRINT project.</p>
Energy Efficient Portfolio Scheduling for Business-Critical Workloads
<p>Results and data needed for reproducing the experiments run in https://github.com/Timovanmilligen/opendc defined in the folder 'opendc-experiments-timo'</p>
Data, scripts, and plots for the paper ICCP "Learning to Select Scheduling Algorithm in OpenMP"
Open the record for dataset details and reuse information.
A Layer-Elastic Scheduling System for DLT in GPU Clusters
<p>This artifact contains the simulator and K8S implementation for a layer-elastic scheduling system. </p>
Animated Series Production Schedule "Jaci na Selva de Pedra" (1st Season)
<p>Brazilian Animated Series "Jaci na Selva de Pedra" Production Schedule based on Belisa Proença's production model.</p>
Quantum circuits used in the "Multi-qubit Lattice Surgery Scheduling" paper
<div> <div>This contains the circuit sets used for the experiments in the paper "Multi-qubit lattice surgery scheduling" (DOI https://doi.org/10.4230/LIPIcs.TQC.2024.1). For the description of the dataset, please see the readme file included in the compressed file.</div> </div>
Outpatient CT scan scheduling data
<p>Outpatient Scheduling Data for Computed Tomography (CT) obtained from the consultation scheduling management system of the Radiology Department of Hospital de Clinicas de Porto Alegre (HCPA), a public, 850-bed, tertiary care teaching hospital in southern Brazil. Data collected cover 8,382 appointments made for this type of radiological exam performed in the year 2017.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.