Relevant bibliographies by topics / Optimised schedule

Contents

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

Academic literature on the topic 'Optimised schedule'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Optimised schedule"

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Raheja, Supriya. "An Intuitionistic Fuzzy Based Novel Approach to CPU Scheduler." Current Medical Imaging Formerly Current Medical Imaging Reviews 16, no. 4 (2020): 316–28. http://dx.doi.org/10.2174/1573405614666180903120708.

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Background: The extension of CPU schedulers with fuzzy has been ascertained better because of its unique capability of handling imprecise information. Though, other generalized forms of fuzzy can be used which can further extend the performance of the scheduler. Objectives: This paper introduces a novel approach to design an intuitionistic fuzzy inference system for CPU scheduler. Methods: The proposed inference system is implemented with a priority scheduler. The proposed scheduler has the ability to dynamically handle the impreciseness of both priority and estimated execution time. It also m
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Saydam, Berkay, Cem Orhan, Niyazi Toker, and Mansur Turasan. "Optimisation of scheduled tasks by real-time measurement and correlation." New Trends and Issues Proceedings on Advances in Pure and Applied Sciences, no. 12 (April 30, 2020): 36–43. http://dx.doi.org/10.18844/gjpaas.v0i12.4984.

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For functional safety, the scheduler should perform all time critical tasks in an order and within predefined deadlines in embedded systems. Scheduling of time critical tasks is determined by estimating their worst-case execution times. To justify the model design of task scheduling, it is required to simulate and visualise the task execution and scheduling maps. This helps to figure out possible problems before deploying the schedule model to real hardware. The simulation tools which are used by companies in an industry perform scheduling simulation and visualisation of all time critical task
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Mishra, Bhupesh Kumar, Keshav Dahal, and Zeeshan Pervez. "Dynamic Relief Items Distribution Model with Sliding Time Window in the Post-Disaster Environment." Applied Sciences 12, no. 16 (2022): 8358. http://dx.doi.org/10.3390/app12168358.

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In smart cities, relief items distribution is a complex task due to the factors such as incomplete information, unpredictable exact demand, lack of resources, and causality levels, to name a few. With the development of Internet of Things (IoT) technologies, dynamic data update provides the scope of distribution schedule to adopt changes with updates. Therefore, the dynamic relief items distribution schedule becomes a need to generate humanitarian supply chain schedules as a smart city application. To address the disaster data updates in different time periods, a dynamic optimised model with a
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Kroll, Christian, and Sebastian Pokutta. "Just a perfect day? Developing a happiness optimised day schedule." Journal of Economic Psychology 34 (February 2013): 210–17. http://dx.doi.org/10.1016/j.joep.2012.09.015.

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Koohi, Sina Zangbari, Nor Asilah Wati Abdul Hamid, Mohamed Othman, and Gafurjan Ibragimov. "ROA-CONS: Raccoon Optimization for Job Scheduling." Symmetry 13, no. 12 (2021): 2270. http://dx.doi.org/10.3390/sym13122270.

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High-performance computing comprises thousands of processing powers in order to deliver higher performance computation than a typical desktop computer or workstation in order to solve large problems in science, engineering, or business. The scheduling of these machines has an important impact on their performance. HPC’s job scheduling is intended to develop an operational strategy which utilises resources efficiently and avoids delays. An optimised schedule results in greater efficiency of the parallel machine. In addition, processes and network heterogeneity is another difficulty for the sche
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Fauzi, Z. A. M., and M. A. Mansor. "Development of Dynamic Programming Algorithm for Maintenance Scheduling Problem: A Conceptual Paper." International Journal of Engineering Technology and Sciences 5, no. 1 (2018): 34–43. http://dx.doi.org/10.15282/ijets.v5i1.2823.

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Maintenance is one of the important methods that can be used to ensure the machines and equipment can operate within the best condition. A good scheduling for maintenance will maintain the proper performance since all resources will be utilised effectively as the underused of the resource can be reduced. The schedule created ensures the particular task was done within the time provided. What, when, where and how the certain operation will be done will be stated to make sure the planned activity going smoothly without any delays. However, the uncertainty that happened during the maintenance nee
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Manganaro, L., A. Attili, T. Bortfeld, and H. Paganetti. "Spatiotemporal optimisation of prostate intensity modulated proton therapy (IMPT) treatments." Physics in Medicine & Biology 67, no. 4 (2022): 045005. http://dx.doi.org/10.1088/1361-6560/ac4fa2.

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Abstract Objective. In intensity modulated particle therapy (IMPT), the adoption of spatially and temporally heterogeneous dose distributions allows to decouple the fractionation scheme from the patient anatomy, so that an hypofractionated schedule can be selectively created inside the tumour, while simultaneously exploiting the fractionation effect in the healthy tissues. In this paper, the authors show the reproducibility of the method on a set of prostate patients, quantifying the dependencies of the achievable benefit with respect to conventional and hypofractionated schemes and the sensit
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Dijkstra, Sander, Maarten Otten, Gréanne Leeftink, et al. "Limited waiting areas in outpatient clinics: an intervention to incorporate the effect of bridging times in blueprint schedules." BMJ Open Quality 11, no. 2 (2022): e001703. http://dx.doi.org/10.1136/bmjoq-2021-001703.

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BackgroundDistancing measures enforced by the COVID-19 pandemic impose a restriction on the number of patients simultaneously present in hospital waiting areas.ObjectiveEvaluate waiting area occupancy of an intervention that designs clinic blueprint schedules, in which all appointments of the pre-COVID-19 case mix are scheduled either digitally or in person under COVID-19 distancing measures, whereby the number of in-person appointments is maximised.MethodsPreintervention analysis and prospective assessment of intervention outcomes were used to evaluate the outcomes on waiting area occupancy a
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Marques, María Remedios, Ana Garcia‐Robles, Iris Usach, et al. "Topiramate pharmacokinetics in neonates undergoing therapeutic hypothermia and proposal of an optimised dosing schedule." Acta Paediatrica 109, no. 2 (2019): 300–308. http://dx.doi.org/10.1111/apa.14944.

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Gómez, Manuel, Lucía Rancel, Pedro P. Gómez, José I. Robla, and Sebastián F. Medina. "Simplification of Hot Rolling Schedule in Ti-Microalloyed Steels with Optimised Ti/N Ratio." ISIJ International 50, no. 6 (2010): 868–74. http://dx.doi.org/10.2355/isijinternational.50.868.

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Dissertations / Theses on the topic "Optimised schedule"

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Haque, M. N. "Modelling of solar kilns and the development of an optimised schedule for drying hardwood timber /." Connect to full text, 2002. http://setis.library.usyd.edu.au/adt/public_html/adt-NU/public/adt-NU20041011.133438.

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Haque, M. Nawshadul. "Modelling of Solar Kilns and The Development of An Optimised Schedule for Drying Hardwood Timber." Thesis, The University of Sydney, 2002. http://hdl.handle.net/2123/813.

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This research examines the drying of hardwood timber with particular reference to seasoning blackbutt (Eucalyptus pilularis) in a solar kiln. The aims of this research were to develop an optimised drying schedule for drying blackbutt and to develop and validate a mathematical model for a solar kiln. In the first stage of this study, the cross-grain physical and mechanical properties were determined for blackbutt timber so that an optimised schedule (based on drying within a limiting strain envelope) can be developed using model predictive control techniques for drying 43 mm thick (green) blac
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Haque, M. Nawshadul. "Modelling of Solar Kilns and The Development of An Optimised Schedule for Drying Hardwood Timber." University of Sydney. Chemical Engineering, 2002. http://hdl.handle.net/2123/813.

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This research examines the drying of hardwood timber with particular reference to seasoning blackbutt (Eucalyptus pilularis) in a solar kiln. The aims of this research were to develop an optimised drying schedule for drying blackbutt and to develop and validate a mathematical model for a solar kiln. In the first stage of this study, the cross-grain physical and mechanical properties were determined for blackbutt timber so that an optimised schedule (based on drying within a limiting strain envelope) can be developed using model predictive control techniques for drying 43 mm thick (green) blac
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Iglesias, Estellés Javier. "Study of the ventilation system in a warehouse and a cooking school : Impact of the use of a heat exchanger system and a more optimised operating schedule." Thesis, Högskolan i Gävle, Energisystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-26907.

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The motivation of this project is found on the past trend of growing greenhouse gases emissions and, also growing, energy use over the world that still remains. This trend overlaps with a more recent increase in the awareness regarding the effects of human activities towards the Earth ecosystems. Thus, the upgrade of the already-in-use systems is necessary to move towards greener and more modern technologies that permit continue with the economic growth while building more sustainable societies. Thereby, the research focuses on the improvement of the ventilation system of a warehouse building
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Shoemaker, David R. (David Robert). "An optimized hardware architecture and communication protocol for scheduled communication." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/42660.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (p. 173-177).<br>by David Shoemaker.<br>Ph.D.
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Miller, Julian. "Tragic Optimism and Universal Values: Reframing the Narrative of Poverty in Central West Virginia." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/174.

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The purpose of this investigation is to see how economic inequality, stereotypes, and unemployment affect the well-being of people who identify as middle class in central West Virginia. Questions include whether living in a place with high poverty rates, regardless of income, negatively affects a person’s attitude and well-being, and if middle class people are victims of “guilt-by-association” for living in a lower income county. The results of this study may help organizations like the ARC include data on well-being and life satisfaction alongside their economic reports. Moreover, the public
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Peschiera, Franco. "Exact and heuristic methods to optimize maintenances and flight schedules of military aircraft." Thesis, Toulouse, ISAE, 2020. http://www.theses.fr/2020ESAE0034.

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Cette thèse étudie le problème de planification de vol et de la maintenancedes avions militaires. D’abord, nous étudions la complexité de ce problème d’optimisation.Puis, nous proposons un modèle de programmation linéaire en nombres entiers (PLNE) pourle résoudre. Nous construisons un générateur d’instances et une heuristique pour générer dessolutions initiales. Ensuite, nous appliquons l’Apprentissage Automatique pour améliorer laperformance des modèles PLNE en utilisant des coupes valides générées à partir des conditionsinitiales et des coupes apprises à partir de la prédiction des caractéri
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Radulovic, Igor, and Timmie Abrahamsson. "The Impact Of Optimized Scheduling Within The Swedish Operating Theatre." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18265.

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Improved utilization of scarce resources such as health care personnel is necessary to address well-known problem of long waiting times within the health care. Implementing mathematically modeled scheduling in the operating theatre has the potential to result in more efficient allocation of resources and financial gains. Despite the promising results, the adoption rate of such models is low. This thesis examines the impact of a mixed-integer linear programming model using an overlapping strategy. We perform a computational experiment where both sequential and parallel schedules are produced wi
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Stanogias, Nikolaos. "Combining analytics framework and Cloud schedulers in order to optimise resource utilisation in a distributed Cloud." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177582.

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Analytics frameworks were initially created to run on bare-metal hardware so they contain scheduling mechanisms to optimise the distribution of the cpu load and data allocation. Generally, the scheduler is part of the analytics framework resource manager. There are different resources managers used in the market and the open-source community that can serve for different analytics frameworks. For example, Spark is initially built with Mesos. Hadoop is now using YARN. Spark is also available as a YARN application. On the other hand, cloud environments (Like OpenStack) contain theirs own mechanis
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Vigeh, Arya. "Investigation of a Simulated Annealing Cooling Schedule used to Optimize the Estimation of the Fiber Diameter Distribution in a Peripheral Nerve Trunk." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/497.

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In previous studies it was determined that the fiber diameter distribution in a peripheral nerve could be estimated by a simulation technique known as group delay. These results could be further improved using a combinatorial optimization algorithm called simulated annealing. This paper explores the structure and behavior of simulated annealing for the application of optimizing the group delay estimated fiber diameter distribution. Specifically, a set of parameters known as the cooling schedule is investigated to determine its effectiveness in the optimization process. Simulated annealing is a
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Books on the topic "Optimised schedule"

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Brandly, Michael S. Schedules for balanced optimized cyclic arrangements of matched pairs of individual players numbered four through thirty-two with provisions. Beck & Orr, 1993.

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Soghier, Lamia, Katherine Pham, and Sara Rooney, eds. Reference Range Values for Pediatric Care. American Academy of Pediatrics, 2014. http://dx.doi.org/10.1542/9781581108545.

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Here’s the one place to look for normal values and related need-to-know data! Now you no longer have to search through multiple resources for reference ranges and other critical values you need to optimize patient assessment and management. The new Reference Range Values for Pediatric Care brings all the most vital range data - plus diverse clinical evaluation and calculation tools - all together in one concise, compact handbook. Indispensable pediatric reference ranges - right at your fingertips Custom-designed for today’s busy practitioners, this quick-access resource provides commonly used
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Geyer, Cynthia. Optimizing Integrative and Preventive Medicine. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190241254.003.0013.

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The practice of integrative and preventive medicine plays a critical role in improving the health and well-being of people, families, and communities. This chapter covers several key steps to optimize the effective practice of integrative and preventive medicine, including the importance the clinician–patient partnership; prioritizing pain, stress, and emotional distress; and clearly communicating the reasoning behind recommendations. The successful clinician should be able to engage with patients as partners through their health journey, make appropriate referrals to other members of the inte
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Leo Art Leo Art Designs. Menstrual Activity Tracker: Track Your Cycle along with Physical Activity to Optimize Your Workout Schedule. Independently Published, 2021.

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Philip, Pierre, Stephanie Bioulac, Patricia Sagaspe, and Jean-Arthur Micoulaud-Franchi. Drowsy driving. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198778240.003.0021.

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Drowsy driving increases risk of traffic accidents. A major problem remains in the identification of drowsy drivers at risk for traffic accidents. Drowsy driving is the consequence of various behavioural factors (e.g. sleep duration, work duration, shift-work schedules) combined or not with sleep and iatrogenic disorders (e.g. obstructive sleep apnoea syndrome, hypersomnia, drug-induced sleepiness). Severity of sleep disorders is a non-linear predictor of traffic accident risk. In comparison, sleepiness at the wheel (SAW) can be considered as a reliable indicator of a combination of behavioura
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Kshirsagar, Suhas, and Michelle D. Seaton. Change Your Schedule, Change Your Life: How to Harness the Power of Clock Genes to Lose Weight, Optimize Your Workout, and Finally Get a ... Dreamscape Media, 2018.

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Lockford, Lesa, Suhas Kshirsagar, and Michelle D. Seaton. Change Your Schedule, Change Your Life: How to Harness the Power of Clock Genes to Lose Weight, Optimize Your Workout, and Finally Get a ... Dreamscape Media, 2018.

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Ranucci, Marco, Serenella Castelvecchio, and Andrea Ballotta. Perioperative management of the high-risk surgical patient: cardiac surgery. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0077.

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During the last decade, as a result of continually improving surgical strategy and the technology which supports it (e.g. anaesthesia), cardiac surgery is offered to patients with advanced age and those with increasingly complex co-existing conditions that were previously considered to be contraindications. In addition, an increasing number of patients have previously undergone angioplasty, thereby delaying their initial coronary artery bypass graft surgery to a more advanced age. In general, candidates for cardiac surgery may now be not only older than in the past, but also more likely to hav
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Ranucci, Marco, Serenella Castelvecchio, and Andrea Ballotta. Perioperative management of the high-risk surgical patient: cardiac surgery. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199687039.003.0077_update_001.

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During the last decade, as a result of continually improving surgical strategy and the technology which supports it (e.g. anaesthesia), cardiac surgery is offered to patients with advanced age and those with increasingly complex co-existing conditions that were previously considered to be contraindications. In addition, an increasing number of patients have previously undergone angioplasty, thereby delaying their initial coronary artery bypass graft surgery to a more advanced age. In general, candidates for cardiac surgery may now be not only older than in the past, but also more likely to hav
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Ranucci, Marco, Serenella Castelvecchio, and Andrea Ballotta. Perioperative management of the high-risk surgical patient: cardiac surgery. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199687039.003.0077_update_002.

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During the last decade, as a result of continually improving surgical strategy and the technology which supports it (e.g. anaesthesia), cardiac surgery is offered to patients with advanced age and those with increasingly complex co-existing conditions that were previously considered to be contraindications. In addition, an increasing number of patients have previously undergone angioplasty, thereby delaying their initial coronary artery bypass graft surgery to a more advanced age. In general, candidates for cardiac surgery may now be not only older than in the past, but also more likely to hav
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Book chapters on the topic "Optimised schedule"

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Wilczyński, Andrzej, and Joanna Kołodziej. "Blockchain-Based Task and Information Management in Computational Cloud Systems." In Cybersecurity of Digital Service Chains. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04036-8_8.

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AbstractBlockchain can be successfully utilised in diverse areas, including the financial sector and the Information and Communication Technology environments, such as computational clouds (CC). While cloud computing optimises the use of resources, it does not (yet) provide an effective solution for the secure hosting scheduling and execution of large computing and data applications and prevention of external attacks.This chapter briefly reviews the recent blockchain-inspired task scheduling and information processing methods in computational clouds. We pay special attention to security, intrusion detection, and unauthorised manipulation of tasks and information in such systems. As an example, we present the implementation of a new blockchain-based scheduler in the computational cloud. We defined a new Proof of Schedule consensus algorithm, which works with the Stackelberg game, regulates checking and adding new blocks to the blockchain, and determines how to validate schedules stored in transactions. The proposed model assumes competition between different schedule providers. The winner of such a competition takes account of the client’s requirements faster and prepares an optimal schedule to meet them. The presented scheduler extends the possibilities of using different scheduling modules by the end-users. By delegating the preparation of the schedules, providers can get benefits only for that, without executing customer tasks.
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Zahariev, Nikola, Yasir Zaki, Xi Li, Carmelita Goerg, Thushara Weerawardane, and Andreas Timm-Giel. "Optimized Service Aware LTE MAC Scheduler with Comparison against Other Well Known Schedulers." In Wired/Wireless Internet Communication. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30630-3_29.

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Mangla, Chaitanya, Sean B. Holden, and Lawrence C. Paulson. "Bayesian Ranking for Strategy Scheduling in Automated Theorem Provers." In Automated Reasoning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10769-6_33.

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AbstractA strategy schedule allocates time to proof strategies that are used in sequence in a theorem prover. We employ Bayesian statistics to propose alternative sequences for the strategy schedule in each proof attempt. Tested on the TPTP problem library, our method yields a time saving of more than 50%. By extending this method to optimize the fixed time allocations to each strategy, we obtain a notable increase in the number of theorems proved.
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van Amelsvoort, Marie, Christian Glomb, Richard Kuntschke, et al. "Schedule Coordination for Technically and Economically Optimized Virtual Power Plants." In NEIS Conference 2016. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-15029-7_24.

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Sree Lakshmi, Adepu, N. Subhash Chandra, and M. BalRaju. "Optimized Capacity Scheduler for MapReduce Applications in Cloud Environments." In Data Management, Analytics and Innovation. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1402-5_12.

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Yom-Tov, Elad, and Yariv Aridor. "A Self-optimized Job Scheduler for Heterogeneous Server Clusters." In Job Scheduling Strategies for Parallel Processing. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78699-3_10.

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Rahil, H., B. Abou El Majd, and M. Bouchoum. "Optimized Air Routes Connections for Real Hub Schedule Using SMPSO Algorithm." In Operations Research/Computer Science Interfaces Series. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58253-5_21.

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Ying, Li, Wang Jing-sheng, Wang Hong-rui, and Wei Li-xin. "Optimization of Tandem Cold Rolling Schedule Based on Collaborative Optimized PSO." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34038-3_55.

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Niu, Huimin. "Application of Genetic Algorithm to Optimize Transit Schedule under Time-Dependent Demand." In Atlantis Computational Intelligence Systems. Atlantis Press, 2012. http://dx.doi.org/10.2991/978-94-91216-80-0_5.

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Robaina, Lidia, Juhani Pirhonen, Elena Mente, Javier Sánchez, and Neill Goosen. "Fish Diets in Aquaponics." In Aquaponics Food Production Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15943-6_13.

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AbstractFish and feed waste provide most of the nutrients required by the plants in aquaponics if the optimum ratio between daily fish feed inputs and the plant growing area is sustained. Thus, the fish feed needs to fulfil both the fish’s and plant’s nutritional requirements in an aquaponic system. A controlled fish waste production strategy where the nitrogen, phosphorus and mineral contents of fish diets are manipulated and used provides a way of influencing the rates of accumulation of nutrients, thereby reducing the need for the additional supplementation of nutrients. To optimize the performance and cost-effectiveness of aquaponic production, fish diets and feeding schedules should be designed carefully to provide nutrients at the right level and time to complement fish, bacteria and plants. To achieve this, a species-specific tailor-made aquaponic feed may be optimized to suit the aquaponic system as a whole. The optimal point would be determined based on overall system performance parameters, including economic and environmental sustainability measures. This chapter thus focuses on fish diets and feed and reviews the state of the art in fish diets, ingredients and additives, as well as the nutritional/sustainable challenges that need to be considered when producing specific aquaponic feeds.
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Conference papers on the topic "Optimised schedule"

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Silva, W. P. M., S. Gunatilake, and M. F. F. Fasna. "OPTIMISING VALUE DURING CONSTRUCTION SCHEDULE ACCELERATION." In The 9th World Construction Symposium 2021. The Ceylon Institute of Builders - Sri Lanka, 2021. http://dx.doi.org/10.31705/wcs.2021.38.

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Construction Schedule Acceleration (CSA) can affect not just the time but many other project aspects. During a CSA, there can be many impacts having significant effects on the project value. Previous studies have highlighted the importance of considering quality, productivity and functionality at a CSA along with cost and time. The aim of this research is, therefore, to investigate how value can be optimised during a CSA process. A qualitative research approach was adopted. Altogether, ten semi-structured interviews were conducted. The interview data were transcribed and analysed using a manua
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Joundale, Sneha Bhimrao, Devendra Sutar, and Sajit Sadanandan. "Development of battery machine automation using optimised auto schedule for coke ovens." In 2017 International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2017. http://dx.doi.org/10.1109/iccmc.2017.8282673.

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Krishnababu, Senthil, Vili Panov, Simon Jackson, and Andrew Dawson. "Quick Start of an Industrial Gas Turbine Engine Through the Development of “Silent Start” VGV Schedule." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-15983.

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Abstract In this paper, research that was carried out to optimise an initial variable guide vane schedule of a high-pressure ratio, multistage axial compressor is reported. The research was carried out on an extensively instrumented scaled compressor rig. The compressor rig tests carried out employing the initial schedule identified regions in the low speed area of the compressor map that developed rotating stall. Rotating stall regions that caused undesirable non-synchronous vibration of rotor blades were identified. The variable guide vane schedule optimisation carried out balancing the aero
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Gallar, L., M. Arias, V. Pachidis, and P. Pilidis. "Compressor Variable Geometry Schedule Optimisation Using Genetic Algorithms." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-60049.

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Variable geometry blade rows in axial compressors are devised to fulfil different requirements. Main objectives include their role as a “part speed crutch” to push the front stages out of surge at low spool speeds, modulation of the power output in industrial machines — given the fact that the spool needs to run at synchronous speed with the electric generator frequency — and they can also be re-staggered to attain a modified capacity (usually upflowed) of the same baseline compressor. The operating schedule of the variable vanes is typically obtained from expensive and time consuming performa
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Mazorra, Z., X. Popa, B. Garcia, et al. "PO-486 Surrogate biomarkers of clinical efficacy in stage IIIB/IV non-small-cell lung cancer patients treated with an optimised EGF-based vaccination schedule." In Abstracts of the 25th Biennial Congress of the European Association for Cancer Research, Amsterdam, The Netherlands, 30 June – 3 July 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/esmoopen-2018-eacr25.988.

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Kalel, Navnath, Jayashree Bijwe, and Ashish Darpe. "Enhanced Performance of Eco-friendly Brake-pads by Using Plasma Treated Metallic Particles." In EuroBrake 2021. FISITA, 2021. http://dx.doi.org/10.46720/6792579eb2021-mds-009.

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Metallic particles in various amounts are commonly used in the brake-pad-formulations to improve the friction, mechanical strength, thermal conductivity, heat dissipation, fade etc. The same metallic particles, however, lead to increase in wear. To overcome the wear related problem and to improve the tribo-performance further, wettability/surface free-energy (SFE) of metallic particles needs to be improved so that they will not be easily dug out contributing to higher wear that without metal particles. Current era is of copper-free friction materials. Hence, in this work, stainless steel parti
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Tanaka, Shunji. "Idle Time Treatment in the Single-Machine Scheduling Problem With Distinct Release Dates." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7172.

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The purpose of this study is to examine how idle time treatment in the single-machine scheduling problem with distinct (unequal) release dates affects schedules. For this purpose, two types of settings are considered: any idle time is permitted and unforced idle time is forbidden. In the latter setting, idle time is permitted only when no jobs are available, that is, release dates of unprocessed jobs are larger than the current time instant. Under these two idle time settings, the problem is solved both offline and online. In offline scheduling, all job information is known in advance and the
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O'Leary, Daniel, Deirdree Polak, Roman Popat, Oliver Eatough, and Tom Brian. "First Use of Machine Learning for Penetration Rate Optimisation on Elgin Franklin." In SPE Offshore Europe Conference & Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205466-ms.

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Abstract Optimising the Rate of Penetration (ROP) on Development wells contributes heavily to delivery of projects ahead of schedule and has long been a goal for drilling engineers. Selecting the best parameters to achieve this has often proved difficult due to the extensive quantities of data concerning formation types, bottom-hole assembly (BHA) design and bit specifications. Legacy drilling data can also be vast and not well characterised, making it very difficult to robustly analyse manually. Additionally, multiple stakeholders can each have their own hypotheses on how to improve drilling
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Sun, Chao, Yulong Lei, Xiaofeng Yin, Kexu Chen, Chang Dou, and Xiaohua Wu. "Personalized Intelligent Gearshift Schedule Optimization for Electric Vehicles with AMT Considering Multi-performance and Drivetrain Efficiency." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2020-adm-007.

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Research and/or Engineering Questions/Objective With the help of automated manual transmission (AMT), the power demand and size of the traction motor of electric vehicles (EVs) could be reduced and such EVs will have more chances to work within the high efficiency area of motor. To further improve the performance and intelligent level of EVs equipped with AMT, the drivability, energy economy and driver’s performance expectation need to be considered together, and meanwhile, the efficiency of the motor and the gearbox should be taken into account. This investigation aims to optimize the gearshi
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Brilliant, Lisa, Stanley Balamucki, George Burger, Yuan Dong, and Charlie Lejambre. "Application of Multistage CFD Analysis to Low Pressure Compressor Design." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-54263.

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A Low Pressure Compressor (LPC) is unique in its requirements for wide operating range during a flight mission. As a result, the aerodynamic design involves a trade-off between performance and stall margin. The requirement to reduce engine development cost and schedule has resulted in developing LPCs during the engine validation program. With engine validation and certification schedules being compressed continuously, getting the initial design right has become critical. Multistage CFD analysis is used in the current design process to optimize the airfoils and stage matching. Three-dimensional
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