Bibliografie tematiche / Time on task

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Letteratura scientifica selezionata sul tema "Time on task"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Time on task"

1

Khatami, Mostafa, and Amir Salehipour. "Coupled task scheduling with time-dependent processing times." Journal of Scheduling 24, no. 2 (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 (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 (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 (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 (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 (2014): 609–23. http://dx.doi.org/10.1257/aer.104.2.609.

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Abstract (sommario):
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
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O'Malley, Michael. "Time, Work and Task Orientation." Time & Society 1, no. 3 (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 (2020): 3688–92. http://dx.doi.org/10.16965/ijpr.2020.176.

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

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Tesi sul tema "Time on task"

1

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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Abstract (sommario):
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 103-110).<br>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
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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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Abstract (sommario):
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 di
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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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<p>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.</p><p>In the past decade, the limitations of models considering fixed task execution times have been acknowledged for large application classes within soft real-time sy
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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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Abstract (sommario):
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 t
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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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Abstract (sommario):
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<br>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 a
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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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Abstract (sommario):
Thesis (Ph. D.)--University of California, San Diego, 2009.<br>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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Libri sul tema "Time on task"

1

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

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Li, Yuchen. Assembly Line Balancing under Uncertain Task Time and Demand Volatility. 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. Naval Postgraduate School, 1992.

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Shaeffer, Blanca A. Refining a task-execution time prediction model for use in MSHN. 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. 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. Florida Gulf Coast University, 2003.

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

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Brown, Gerald J. Dynamic task scheduling for the Knowledge Worker System. 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. 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]. National Governors' Association, Center for Policy Research, 1991.

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Capitoli di libri sul tema "Time on task"

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Wolter, Katinka. "Task Completion Time." In Stochastic Models for Fault Tolerance. 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. 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. 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. 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. 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. 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, 2nd ed. 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. 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. 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. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4757-6846-6_5.

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Atti di convegni sul tema "Time on task"

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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). 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). 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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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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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}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/500.

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Abstract (sommario):
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
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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. ACM Press, 2014. http://dx.doi.org/10.1145/2659787.2659820.

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Rapporti di organizzazioni sul tema "Time on task"

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Scott, Harry D., and Jr. Joint Task Force Headquarters -- Time For Permanency? Defense Technical Information Center, 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. Defense Technical Information Center, 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. Defense Technical Information Center, 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. Defense Technical Information Center, 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), 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. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada457874.

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

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Abstract (sommario):
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. Defense Technical Information Center, 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. 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. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada200612.

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