Relevant bibliographies by topics / Time on task

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Academic literature on the topic 'Time on task'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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Journal articles on the topic "Time on task"

Khatami, Mostafa, and Amir Salehipour. "Coupled task scheduling with time-dependent processing times." Journal of Scheduling 24, no. 2 (January 21, 2021): 223–36. http://dx.doi.org/10.1007/s10951-020-00675-2.

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Karweit, Nancy. "Time-on-Task: The Second Time Around." NASSP Bulletin 72, no. 505 (February 1988): 31–39. http://dx.doi.org/10.1177/019263658807250507.

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Mahan, Robert P. "Time-on-Task Effects within a Probabilistic Task Environment." Perceptual and Motor Skills 72, no. 1 (February 1991): 307–14. http://dx.doi.org/10.2466/pms.1991.72.1.307.

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Wang, Endong, Fan Ni, Jicheng Chen, Hongwei Wang, and Yihan Li. "Cache-Aware Cooperative Task Mapping in Multi-core Real-Time Systems." International Journal of Information and Electronics Engineering 6, no. 2 (2016): 72–78. http://dx.doi.org/10.18178/ijiee.2016.6.2.598.

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Wohldmann, Erica L., Alice F. Healy, and Lyle E. Bourne. "Task integration in time production." Attention, Perception, & Psychophysics 72, no. 4 (May 2010): 1130–43. http://dx.doi.org/10.3758/app.72.4.1130.

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Cho, Moon-Haeng, Soong-Yeol Lee, Won-Yong Lee, Geun-Jae Jeong, Yong-Hee Kim, and Cheol-Hoon Lee. "Deterministic Real-Time Task Scheduling." Journal of the Korea Contents Association 7, no. 1 (January 28, 2007): 73–82. http://dx.doi.org/10.5392/jkca.2007.7.1.073.

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Coviello, Decio, Andrea Ichino, and Nicola Persico. "Time Allocation and Task Juggling." American Economic Review 104, no. 2 (February 1, 2014): 609–23. http://dx.doi.org/10.1257/aer.104.2.609.

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A single worker allocates her time among different projects which are progressively assigned. When the worker works on too many projects at the same time, the output rate decreases and completion time increases according to a law which we derive. We call this phenomenon “task juggling” and argue that it is pervasive in the workplace. We show that task juggling is a strategic substitute of worker effort. We then present a model where task juggling is the result of lobbying by clients, or coworkers, each seeking to get the worker to apply effort to his project ahead of the others’. (JEL J22, M12, M54)

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O'Malley, Michael. "Time, Work and Task Orientation." Time & Society 1, no. 3 (September 1992): 341–58. http://dx.doi.org/10.1177/0961463x92001003002.

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Hamid, Rashida Hakim, and Preeti Shah. "EFFECT OF DUAL TASK EXERCISES ON REACTION TIME IN SCHOOL BASKETBALL PLAYERS." International Journal of Physiotherapy and Research 8, no. 6 (December 11, 2020): 3688–92. http://dx.doi.org/10.16965/ijpr.2020.176.

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Background: Reaction time is the time taken to respond to a stimulus. Reaction time is a pre-requisite of any sports player. A short reaction time is an indicative of swift movements and attentiveness on field of the player. A player on field should have the ability to multitask. This ability is strengthened using dual task exercises. Method: Participants- 27 school basketball players of 13-16 years were included in the study. Hand dominance was assessed using the handedness questionnaire and leg dominance was assessed by asking the participant to kick the ball. Reaction time was assessed using the reaction timer and dynamic balanced was assessed using the Y balance test. Both the parameters were recorded as a pretest and posttest after intervention of dual task exercises. As an intervention 3 dual task exercises throwing and catching a ball while walking, spot marching and jump up to reach targets and side marching and passing the ball were used. Each exercise was done for a period of 8-10 mins respectively. During this time their regular basketball practice and physical fitness exercises were continued in school respectively. Results: The data was analyzed using SPSS version 24.0. A significant change was found in the reaction time of basketball players with p Value obtained as 7.26E-06. The balance component showed a significant improvement as well. P Values obtained for Anterior direction is 0.048, for posteromedial direction is 0.053and for posterolateral direction is 0.014. Conclusion: Dual task exercises along with basketball training were effective in improving the reaction time and dynamic balance in basketball players. KEY WORDS: Reaction time, dual task exercises, Dynamic balance, Y balance test, School basketball players.

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Nikiforov. "Task scheduling in time-triggered real-time systems." SPIIRAS Proceedings 1, no. 1 (March 17, 2014): 129. http://dx.doi.org/10.15622/sp.1.10.

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Dissertations / Theses on the topic "Time on task"

Buckman, Noam (Noam M. ). "Decentralized task allocation for dynamic, time-sensitive tasks." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120195.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 103-110). In time-sensitive and dynamic missions, autonomous vehicles must respond quickly to new information and objectives. In the case of dynamic task allocation, a team of agents are presented with a new, unknown task that must be allocated with their original allocations. This is exacerbated further in decentralized settings where agents are limited to utilizing local information during the allocation process. This thesis presents a fully decentralized, dynamic task allocation algorithm that extends the Consensus-Based Bundle Algorithm (CBBA) to allow for allocating new tasks. Whereas static CBBA requires a full resetting of previous allocations, CBBA with Partial Replanning (CBBA-PR) enables the agents to only partially reset their allocations to efficiently and quickly allocate a new task. By varying the number of existing tasks that are reset during replan, the team can trade-off convergence speed with amount of coordination. By specifically choosing the lowest bid tasks for resetting, CBBA-PR is shown to converge linearly with the number of tasks reset and the network diameter of the team. In addition, limited replanning methods are presented for scenarios without sufficient replanning time. These include a single reset bidding procedure for agents at capacity, a no-replanning heuristic that can identify scenarios that does not require replanning, and a subteam formation algorithm for reducing the network diameter. Finally, this thesis describes hardware and simulation experiments used to explore the effects of ad-hoc, decentralized communication on consensus algorithms and to validate the performance of CBBA-PR. by Noam Buckman. S.M.

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Khaluf, Yara [Verfasser]. "Task allocation in robot swarms for time-constrained tasks / Yara Khaluf." Paderborn : Universitätsbibliothek, 2014. http://d-nb.info/1050192877/34.

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Fergusson, Janel. "Time judgments in dual-task conditions." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/27745.

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Every day we complete a number of tasks which require us to accurately time events, from estimating how long it will take us to drive to work in the morning to steeping our afternoon tea for the correct duration. Although timing is very important in our everyday lives, we know relatively little about how we process time information. Many models have been proposed to account for human timing, with the most prominent are the attentional gate model (AGM) and the multiple resources model. The AGM and the multiple resources model make many similar predictions about human timing, and it is often difficult to discriminate between the two. Toward this goal, the present research focused on a situation in which the two models make opposing predictions, that is, conditions which require participants two carry out two tasks concurrently with both of them requiring time-related processing.. Three experiments are reported, in which subjects were asked to estimate various shorter or longer intervals while concurrently carrying out a task that either required processing of time-related information or non-time based information. Results of all three studies seem more supportive of the multiple resources model of timing, rather than the AGM.

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Manolache, Sorin. "Schedulability analysis of real-time systems with stochastic task execution times." Licentiate thesis, Linköping University, Linköping University, ESLAB - Embedded Systems Laboratory, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5730.

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Systems controlled by embedded computers become indispensable in our lives and can be found in avionics, automotive industry, home appliances, medicine, telecommunication industry, mecatronics, space industry, etc. Fast, accurate and flexible performance estimation tools giving feedback to the designer in every design phase are a vital part of a design process capable to produce high quality designs of such embedded systems.In the past decade, the limitations of models considering fixed task execution times have been acknowledged for large application classes within soft real-time systems. A more realistic model considers the tasks having varying execution times with given probability distributions. No restriction has been imposed in this thesis on the particular type of these functions. Considering such a model, with specified task execution time probability distribution functions, an important performance indicator of the system is the expected deadline miss ratio of tasks or task graphs.This thesis proposes two approaches for obtaining this indicator in an analytic way. The first is an exact one while the second approach provides an approximate solution trading accuracy for analysis speed. While the first approach can efficiently be applied to monoprocessor systems, it can handle only very small multi-processor applications because of complexity reasons. The second approach, however, can successfully handle realistic multiprocessor applications. Experiments show the efficiency of the proposed techniques. Report code: LiU-Tek-Lic-2002:58.

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Marion, Curtis George. "The task-resource allocation model : a perspective on task attributes, motivation and the dedication of time and effort to tasks /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487779120906091.

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Krauth, Elfriede Irene. "Real-time planning support : a task-technology fit perspective = Real-time planningsondersteuning : de afstemming tussen taak en technologie /." Rotterdam : Erasmus Universiteit, 2008. http://opac.nebis.ch/cgi-bin/showAbstract.pl?u20=97890589221932.

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Mudrova, Lenka. "Task scheduling and merging in space and time." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7872/.

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Every day, robots are being deployed in more challenging environments, where they are required to perform complex tasks. In order to achieve these tasks, robots rely on intelligent deliberation algorithms. In this thesis, we study two deliberation approaches – task scheduling and task planning. We extend these approaches in order to not only deal with temporal and spatial constraints imposed by the environment, but also exploit them to be more efficient than the state-of-the-art approaches. Our first main contribution is a scheduler that exploits a heuristic based on Allen’s interval algebra to prune the search space to be traversed by a mixed integer program. We empirically show that the proposed scheduler outperforms the state of the art by at least one order of magnitude. Furthermore, the scheduler has been deployed on several mobile robots in long-term autonomy scenarios. Our second main contribution is the POPMERX algorithm, which is based on merging of partially ordered temporal plans. POPMERX first reasons with the spatial and temporal structure of separately generated plans. Then, it merges these plans into a single final plan, while optimising the makespan of the merged plan. We empirically show that POPMERX produces better plans that the-state-ofthe- art planners on temporal domains with time windows.

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Incera, Burkert Sara. "THE TIME COURSE OF A BILINGUAL STROOP TASK." Cleveland State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=csu1393608029.

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Mshololo, Felix Hlanganani Engelbert. "The time management task of the school principal." Thesis, University of Zululand, 2014. http://hdl.handle.net/10530/1408.

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A thesis submitted to the Faculty of Education in partial fulfilment of the requirements for the Degree of Master of Education in the Department of Social Science Education at the University of Zululand, South Africa, 2014 Effective time utilisation leads to greater freedom to use time as one would like to: to do more of the things one has always wanted to do; in short to enjoy life more. Like in any other business organisation, time for planning, organising, leading and controlling is managed carefully. The principal needs time to perform all the above mentioned tasks. In this study, the author accentuates that it is disconcerting that from time to time, there are schools that do not even have a time table when the schools open at the beginning of the year. It would be interesting to know how much time might be wasted as a result of a lack of planning, lack of priorities, paperwork and reading, meetings, unclear objectives, procrastination, lack of delegation, incompetent subordinates and many other time wasters. The purpose of the study was to determine the school principal’s understanding of the time management task and explore how effective school principals manage time in performing their different tasks. Fifty principals from Phumelela and Umbumbulu Circuits, under the Umlazi District completed a survey questionnaire and semi structured interviews were conducted. The researcher was able to determine the pattern of time usage. The findings revealed that factors hampering time management include among other things meetings that principals have to attend, departmental expectations, visitors, the organisational stress, administrative obligations and inability to differentiate between urgent and important matters to attend to hampers the principal’s time management tasks. The study among other things recommended that the provincial education departments need to provide appropriate training for school governing bodies that a well organised and goal directed system should operate to control school visitors in the schools’ interest.

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Ard, Michael Colin. "On the origin of a response time underadditivity by means of cross-modal task switching, or the redundancy of operations in the configuration of task sets for cross-modal shifts." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3366481.

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Thesis (Ph. D.)--University of California, San Diego, 2009. Title from first page of PDF file (viewed August 20, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 178-184).

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Books on the topic "Time on task"

Peg, Ballard, ed. Task time: The sound of "t". [Chanhassen, Minn.]: Child's World, Inc., 2000.

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Li, Yuchen. Assembly Line Balancing under Uncertain Task Time and Demand Volatility. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4215-0.

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Shukla, Shridhar B. Real-time execution control of task-level data-flow graphs using a compile-time approach. Monterey, Calif: Naval Postgraduate School, 1992.

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Shaeffer, Blanca A. Refining a task-execution time prediction model for use in MSHN. Monterey, Calif: Naval Postgraduate School, 2000.

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B, Sheridan Thomas, and Ames Research Center, eds. Effect of time span and task load on pilot mental workload. Cambridge, Mass: Man-Machine Systems Laboratory, Dept. of Mechanical Engineering, Massachusetts Institute of Technology, 1985.

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McTarnaghan, Roy E. On task, on time: The development of Florida Gulf Coast University. Fort Myers, Fla: Florida Gulf Coast University, 2003.

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Cochran, J. Wesley. Time management handbook for librarians. New York: Greenwood Press, 1992.

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Brown, Gerald J. Dynamic task scheduling for the Knowledge Worker System. Champaign, IL: U.S. Army Construction Engineering Research Laboratory, 1996.

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Guha, Krishnendu, Sangeet Saha, and Amlan Chakrabarti. Self Aware Security for Real Time Task Schedules in Reconfigurable Hardware Platforms. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79701-0.

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National Governors' Association. Center for Policy Research., ed. Time for results: The Governors' 1991 report on education : [task force summaries]. Washington, D.C: National Governors' Association, Center for Policy Research, 1991.

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Book chapters on the topic "Time on task"

Wolter, Katinka. "Task Completion Time." In Stochastic Models for Fault Tolerance, 13–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11257-7_2.

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Buttazzo, Giorgio C. "Aperiodic Task Scheduling." In Hard Real-Time Computing Systems, 53–78. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0676-1_3.

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Buttazzo, Giorgio C. "Periodic Task Scheduling." In Hard Real-Time Computing Systems, 79–118. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0676-1_4.

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Buttazzo, Giorgio. "Periodic Task Scheduling." In Hard Real-Time Computing Systems, 69–108. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45410-3_4.

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Buttazzo, Giorgio. "Aperiodic Task Scheduling." In Hard Real-Time Computing Systems, 45–67. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45410-3_3.

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Tang, Yue, Nan Guan, and Wang Yi. "Real-Time Task Models." In Handbook of Real-Time Computing, 1–19. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-4585-87-3_29-1.

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Ertel, Pamela A. Kramer, and Madeline Kovarik. "Time-on-Task Study." In The ABC's of Classroom Management, 131–32. 2nd ed. New York: Routledge, 2013. http://dx.doi.org/10.4324/9780203765333-214.

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Tang, Yue, Nan Guan, and Wang Yi. "Real-Time Task Models." In Handbook of Real-Time Computing, 469–87. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-287-251-7_29.

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Stankovic, John A., Marco Spuri, Krithi Ramamritham, and Giorgio C. Buttazzo. "Aperiodic Task Scheduling." In Deadline Scheduling for Real-Time Systems, 169–96. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5535-3_8.

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MacGregor, Donald. "Time Pressure and Task Adaptation." In Time Pressure and Stress in Human Judgment and Decision Making, 73–82. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4757-6846-6_5.

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Conference papers on the topic "Time on task"

Brandenburg, Björn B., Cédric Courtaud, Filip Marković, and Bite Ye. "LiME: The Linux Real-Time Task Model Extractor." In 2025 IEEE 31st Real-Time and Embedded Technology and Applications Symposium (RTAS), 255–69. IEEE, 2025. https://doi.org/10.1109/rtas65571.2025.00033.

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Yeolekar, Anand, Ravindra Metta, and Samarjit Chakraborty. "SMT-Based Repairing Real-Time Task Specifications." In 2025 Design, Automation & Test in Europe Conference (DATE), 1–7. IEEE, 2025. https://doi.org/10.23919/date64628.2025.10992923.

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Shi, Hehuan, and Lin Chen. "On Batching Task Scheduling." In 2022 IEEE Real-Time Systems Symposium (RTSS). IEEE, 2022. http://dx.doi.org/10.1109/rtss55097.2022.00017.

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Combi, C., and G. Pozzi. "Task Scheduling for a TemporalWorkflow Management System." In Thirteenth International Symposium on Temporal Representation and Reasoning (TIME'06). IEEE, 2006. http://dx.doi.org/10.1109/time.2006.26.

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Chen, Jian-Jia. "Task Set Synthesis with Cost Minimization for Sporadic Real-Time Tasks." In 2013 IEEE 34th Real-Time Systems Symposium (RTSS). IEEE, 2013. http://dx.doi.org/10.1109/rtss.2013.42.

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Ye, Feiyang, Xuehao Wang, Yu Zhang, and Ivor W. Tsang. "Multi-Task Learning via Time-Aware Neural ODE." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/500.

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Multi-Task Learning (MTL) is a well-established paradigm for learning shared models for a diverse set of tasks. Moreover, MTL improves data efficiency by jointly training all tasks simultaneously. However, directly optimizing the losses of all the tasks may lead to imbalanced performance on all the tasks due to the competition among tasks for the shared parameters in MTL models. Many MTL methods try to mitigate this problem by dynamically weighting task losses or manipulating task gradients. Different from existing studies, in this paper, we propose a Neural Ordinal diffeRential equation based Multi-tAsk Learning (NORMAL) method to alleviate this issue by modeling task-specific feature transformations from the perspective of dynamic flows built on the Neural Ordinary Differential Equation (NODE). Specifically, the proposed NORMAL model designs a time-aware neural ODE block to learn task-specific time information, which determines task positions of feature transformations in the dynamic flow, in NODE automatically via gradient descent methods. In this way, the proposed NORMAL model handles the problem of competing shared parameters by learning task positions. Moreover, the learned task positions can be used to measure the relevance among different tasks. Extensive experiments show that the proposed NORMAL model outperforms state-of-the-art MTL models.

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Sun, Jinghao, Nan Guan, Yang Wang, Qingqiang He, and Wang Yi. "Real-Time Scheduling and Analysis of OpenMP Task Systems with Tied Tasks." In 2017 IEEE Real-Time Systems Symposium (RTSS). IEEE, 2017. http://dx.doi.org/10.1109/rtss.2017.00016.

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Baruah, Haritsa, and Sharma. "On-line scheduling to maximize task completions." In Proceedings Real-Time Systems Symposium. IEEE Comput. Soc. Press, 1994. http://dx.doi.org/10.1109/real.1994.342713.

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Kohutka, Lukas. "Scheduling Periodic Real-Time Tasks with Inter-Task Synchronisation." In 2022 11th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2022. http://dx.doi.org/10.1109/meco55406.2022.9797213.

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Bertout, Antoine, Julien Forget, and Richard Olejnik. "Minimizing a real-time task set through Task Clustering." In the 22nd International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2659787.2659820.

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Reports on the topic "Time on task"

Scott, Harry D., and Jr. Joint Task Force Headquarters -- Time For Permanency? Fort Belvoir, VA: Defense Technical Information Center, February 1997. http://dx.doi.org/10.21236/ada326623.

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Nelson, W. T., Merry M. Roe, Robert S. Bolia, and Rebecca M. Morley. Assessing Simulator Sickness in a See-Through HMD: Effects of Time Delay, Time on Task, and Task Complexity. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada430344.

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Fisher, Donna, Paul Fortier, David Hughes, and Mayford Roark. DBSSG Predictable Real-Time Information Systems Task Group. Fort Belvoir, VA: Defense Technical Information Center, February 1995. http://dx.doi.org/10.21236/ada291950.

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Swaminathan, Vishnu, and Krishnendu Chakrabarty. Real-Time Task Scheduling for Energy-Aware Embedded Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada439593.

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Bakhtiari, Sasan. Task 1. Monitoring real time materials degradation. NRC extended In-situ and real-time Monitoring. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1252705.

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Sousa, Joao P., and David Garlan. Beyond Desktop Management: Scaling Task Management in Space and Time. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada457874.

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Cialone, Williams, and Groeneveld. L51872 Effects of Pressure Fluctuations on SCC Propagation. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2002. http://dx.doi.org/10.55274/r0010382.

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The objective of the research summarized in this report was to define the relationship between the nature of pressure fluctuations on gas transmission pipelines and the crack growth behavior under conditions designed to simulate near-neutral pH SCC. The roles ofR ratio, frequency, waveform, (including realistic complicated waveforms) time, and pressure transients on crack-growth behavior were evaluated. The project was divided into three tasks: Task 1 - Test Matrix, Task 2 - Assessment of the Superposition Principle, and Task 3 - Effect of Pressure Transients.

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Clayton, Alan B. A Standing Joint Task Force: It is Time for a Virtual Solution. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada400932.

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Huang, Hui-Min. Hierarchical real-time control task decomposition for a coal mining automation project. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.90-4271.

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Borger, Mark W. VAXELN Experimentation: Programming a Real-Time Periodic Task Dispatcher Using VAXELN Ada 1.1. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada200612.

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