Relevant bibliographies by topics / Monitoring the run of task

Contents

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

Academic literature on the topic 'Monitoring the run of task'

Author: Grafiati
Published: 28 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Monitoring the run of task"

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Wu, Zekun, Yao Wang, Markus Langer, and Anna Maria Feit. "RelEYEance: Gaze-based Assessment of Users' AI-reliance at Run-time." Proceedings of the ACM on Human-Computer Interaction 9, no. 3 (2025): 1–18. https://doi.org/10.1145/3725841.

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In time-critical detection tasks, such as drone monitoring, a key condition for users to effectively leverage AI assistance is to find an appropriate trade-off between making fast decisions and verifying AI suggestions, which we refer to as appropriate user reliance. However, assessing such reliance is often oversimplified by focusing solely on task outcomes, potentially overlooking whether users properly verify AI messages. We collected eye-tracking data from an AI-assisted monitoring task and developed a gaze-based reliance model: RelEYEance, to assess the extent of user reliance on AI-sugge
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Lakhan, Abdullah, Qurat-ul-ain Mastoi, Mazhar Ali Dootio, et al. "Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing Framework in Distributed Fog-Cloud Network." Electronics 10, no. 16 (2021): 1974. http://dx.doi.org/10.3390/electronics10161974.

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The Internet of Medical Things (IoMT) workflow applications have been rapidly growing in practice. These internet-based applications can run on the distributed healthcare sensing system, which combines mobile computing, edge computing and cloud computing. Offloading and scheduling are the required methods in the distributed network. However, a security issue exists and it is hard to run different types of tasks (e.g., security, delay-sensitive, and delay-tolerant tasks) of IoMT applications on heterogeneous computing nodes. This work proposes a new healthcare architecture for workflow applicat
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Danish, Aafreen, Khushali Hedau, Diksha Ukey, Anisha Walde, Uzma Sohail Sheikh, and Prof Akbar Nagani. "Fingerprint,Face and Voice Recognition Based Attendance Monitoring System." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 749–52. http://dx.doi.org/10.22214/ijraset.2022.41346.

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Abstract: In This project aims to record the attendance without manual intervention. In the area of technology that changes and modifies daily, use biometrics is the most popular and trending technology. Taking attendance manually for a class of almost 60-80 students can be a time-consuming task if thought of it in a long run Each person has a unique biometric feature such as fingerprint, face structure, voice detection etc. Keywords— Boimetrics, Fringerprint, Face Structure,Voice Detection.
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GRUNDY, JOHN. "VISUAL SPECIFICATION AND MONITORING OF SOFTWARE AGENTS IN DECENTRALIZED PROCESS-CENTRED ENVIRONMENTS." International Journal of Software Engineering and Knowledge Engineering 09, no. 04 (1999): 425–44. http://dx.doi.org/10.1142/s0218194099000243.

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Distributed, cooperating software agents are useful in many problem domains, such as task automation and work coordination in process-centered environments. We describe a visual language for specifying such software agents, which uses the composition of event-based software components. These specifications may contain interfaces to remotely executing agents, and agents may be run locally or on distributed machines using a decentralized software architecture. As facilities to configure and monitor the state and activities of such distributed, cooperating software agents is essential, we provide
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García, Sergi, Selen Razon, Robert Hristovski, Natàlia Balagué, and Gershon Tenenbaum. "Dynamic Stability of Task-Related Thoughts in Trained Runners." Sport Psychologist 29, no. 4 (2015): 302–9. http://dx.doi.org/10.1123/tsp.2014-0094.

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Drawing upon the nonlinear model of attention focus, the purpose of this study was to compare the intrinsic and intentional dynamics of task-related thoughts (TRT) in trained runners and nonrunners during an incremental maximal test. Fourteen trained runners and 14 nonrunners were assigned to 2 conditions: intrinsic (nonimposed thoughts) and intentional (imposed, task-unrelated thoughts; TUT). A significant effect of running velocity over TUT/TRT dynamics in both groups and conditions was observed (p < .001). Although, all participants received instructions to keep TUT for the entire durati
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Chen, Feng Ping, Li Miao, and Yue Gao Tang. "Research of Hadoop Parameters Tuning Based on Function Monitoring." Applied Mechanics and Materials 621 (August 2014): 264–70. http://dx.doi.org/10.4028/www.scientific.net/amm.621.264.

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Hadoop is a popular software framework supports distributed processing of large data sets. However, with Hadoop being a relatively new technology, practitioners and administers often lack the expertise to tune it to get better performance. Hadoop parameters configuration is one of the key factors which influence the performance. In this article, we present a novel Hadoop parameters tuning method based on function monitoring. This method monitors the function call information during task run to analyze why the performance of Hadoop changes when tuning parameters, which will be helpful for pract
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Shahriar, Hossain, and Mohammad Zulkernine. "Monitoring Buffer Overflow Attacks." International Journal of Secure Software Engineering 1, no. 3 (2010): 18–40. http://dx.doi.org/10.4018/jsse.2010070102.

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Buffer overflow (BOF) is a well-known, and one of the worst and oldest, vulnerabilities in programs. BOF attacks overwrite data buffers and introduce wide ranges of attacks like execution of arbitrary injected code. Many approaches are applied to mitigate buffer overflow vulnerabilities; however, mitigating BOF vulnerabilities is a perennial task as these vulnerabilities elude the mitigation efforts and appear in the operational programs at run-time. Monitoring is a popular approach for detecting BOF attacks during program execution, and it can prevent or send warnings to take actions for avoi
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Wika, Adevansyah, and Bayu Priambodo. "Efektivitas Pembuatan Surat Perintah Tugas Melalui Aplikasi SIPENO di Biro Umum Kantor Sekretariat Daerah Provinsi Jawa Timur." Jurnal Manajemen Publik dan Kebijakan Publik (JMPKP) 6, no. 2 (2024): 210–22. https://doi.org/10.36085/jmpkp.v6i2.6833.

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This research discusses the effectiveness of creating Task Assignment Letters through the SIPENO Application at the office of the Regional Secretariat of East Java Province. The aim of this study is to determine how successful the SIPENO application is in generating Task Assignment Letters. This research utilizes effectiveness theory as proposed by Budiani. There are four indicators used to measure effectiveness in this study: target accuracy, program socialization, program objectives, and program monitoring. The method employed in this research is descriptive qualitative. Data collection was
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Kaminka, G. A., D. V. Pynadath, and M. Tambe. "Monitoring Teams by Overhearing: A Multi-Agent Plan-Recognition Approach." Journal of Artificial Intelligence Research 17 (September 1, 2002): 83–135. http://dx.doi.org/10.1613/jair.970.

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Recent years are seeing an increasing need for on-line monitoring of teams of cooperating agents, e.g., for visualization, or performance tracking. However, in monitoring deployed teams, we often cannot rely on the agents to always communicate their state to the monitoring system. This paper presents a non-intrusive approach to monitoring by 'overhearing', where the monitored team's state is inferred (via plan-recognition) from team-members' *routine* communications, exchanged as part of their coordinated task execution, and observed (overheard) by the monitoring system. Key challenges in this
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Haataja, Eetu, Jonna Malmberg, Muhterem Dindar, and Sanna Järvelä. "The pivotal role of monitoring for collaborative problem solving seen in interaction, performance, and interpersonal physiology." Metacognition and Learning 17, no. 1 (2021): 241–68. http://dx.doi.org/10.1007/s11409-021-09279-3.

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AbstractBeing aware of the progress towards one’s goals is considered one of the main characteristics of the self-regulation process. This is also the case for collaborative problem solving, which invites group members to metacognitively monitor the progress with their goals and externalize it in social interactions while solving a problem. Monitoring challenges can activate group members to control the situation together, which can be seen as adjustments on different systemic levels (physiological, psychological, and interpersonal) of a collaborative group. This study examines how the pivotal
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Dissertations / Theses on the topic "Monitoring the run of task"

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Grepl, Filip. "Aplikace pro řízení paralelního zpracování dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445490.

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This work deals with the design and implementation of a system for parallel execution of tasks in the Knowledge Technology Research Group. The goal is to create a web application that allows to control their processing and monitor runs of these tasks including the use of system resources. The work first analyzes the current method of parallel data processing and the shortcomings of this solution. Then the work describes the existing tools including the problems that their test deployment revealed. Based on this knowledge, the requirements for a new application are defined and the design of the
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Solaiman, Ellis. "Contract representation for validation and run time monitoring." Thesis, University of Newcastle Upon Tyne, 2004. http://hdl.handle.net/10443/2002.

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Organisations are increasingly using the Internet to offer their own services and to utilise the services of others. This naturally leads to resource sharing across organisational boundaries. Nevertheless, organisations will require their interactions with other organisations to be strictly controlled. In the paper-based world, business interactions, information exchange and sharing have been conducted under the control of contracts that the organisations sign. The world of electronic business needs to emulate electronic equivalents of the contract based business management practices. This the
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Dingwall-Smith, Andrew Ross. "Run-time monitoring of goal-oriented requirements specification." Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/1444624/.

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The environment in which a software system operates is as important to the correct operation of the system as the software itself. Most software development involves making assumptions about the environment in which the resulting system will operate. These assumptions may cease to be valid if the environment changes, causing the system to fail to operate correctly. One solution to this problem is to use run-time requirements monitoring to deter mine, as a system operates, whether it is satisfying the requirements specified for it and to take action to rectify these problems. This thesis descri
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Blakely, Megan Jayne. "Born to Run - Dual Task Cognitive Effects of Ecological Unconstrained Running." Thesis, University of Canterbury. Psychology, 2014. http://hdl.handle.net/10092/9226.

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The interaction between exercise and cognitive task performance has been previously examined using cycle ergometer and treadmill running tasks. The interaction between natural (non-constrained) exercise and cognitive task performance has, however, been well less examined. An example of a natural exercise task would be running outdoors on a steep trail where route selection and foot placement are critical for the runner. The performance of runners is examined in a dual trail-running and working memory task. The working memory task involved counting tones, and was performed at both a low workloa
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Konstantinou, Eirini. "Vision-based construction worker task productivity monitoring." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/273539.

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Over the past decades, the construction industry lags further and further behind the manufacturing sector when productivity is considered. This is due to internal factors that take place on-site. Almost all of them are directly related to the way that productivity is monitored. Current practices for monitoring labour productivity are labour intensive, time - cost consuming and error prone. They are mainly reactive processes initiated after the detection of a negatively influencing factor. Although research studies have been performed towards leveraging these limitations, a gap still exists in
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Choi, Yuk-ming, and 蔡育明. "A run-time hardware task execution framework for FPGA-accelerated heterogeneous cluster." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/206679.

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The era of big data has led to problems of unprecedented scale and complexity that are challenging the computing capability of conventional computer systems. One way to address the computational and communication challenges of such demanding applications is to incorporate the use of non-conventional hardware accelerators such as FPGAs into existing systems. By providing a mix of FPGAs and conventional CPUs as computing resources in a heterogeneous cluster, a distributed computing environment can be achieved to address the need of both compute-intensive and data-intensive applications. However,
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Nallendran, Vignesh Raja. "Predicting Performance Run-time Metrics in Fog Manufacturing using Multi-task Learning." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/102501.

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The integration of Fog-Cloud computing in manufacturing has given rise to a new paradigm called Fog manufacturing. Fog manufacturing is a form of distributed computing platform that integrates Fog-Cloud collaborative computing strategy to facilitate responsive, scalable, and reliable data analysis in manufacturing networks. The computation services provided by Fog-Cloud computing can effectively support quality prediction, process monitoring, and diagnosis efforts in a timely manner for manufacturing processes. However, the communication and computation resources for Fog-Cloud computing are li
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Euler, Juliane [Verfasser], Oskar von [Akademischer Betreuer] Stryk, and Rui [Akademischer Betreuer] Rocha. "Optimal Cooperative Control of UAVs for Dynamic Data-Driven Monitoring Tasks / Juliane Euler ; Oskar von Stryk, Rui Rocha." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2018. http://d-nb.info/1151638811/34.

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Ammi, Sabrina. "How reader and task characteristics influence young readers' comprehension monitoring." Thesis, Lancaster University, 2015. http://eprints.lancs.ac.uk/83213/.

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Comprehension monitoring is defined as the process by which reader’s evaluate and regulate their understanding of text (e.g., Baker, 1985). Comprehension monitoring is an important component skill of reading comprehension (e.g., Cain, Oakhill & Bryant, 2004). Despite the importance of comprehension monitoring in reading comprehension, relatively little research has been undertaken to explore the development of comprehension monitoring or the task and reader characteristics critical to the development of this skill. To address this gap in the literature, this thesis explores the development of
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Rodriguez, Jennifer Marie. "Evaluating the Use of Task Clarification, Self-Monitoring and Performance Feedback." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3317.

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The effects of self-monitoring, task clarification, and performance feedback on the performance of critical tasks by assembly group supervisors in a manufacturing company were examined. This intervention involved the training of a supervisor to use task clarification, self-monitoring, and performance feedback to improve the work performance of the participating group leaders. A multiple baseline across participants and tasks design was used to examine the effects of the intervention. Measures included: generalization of group leader performance to another work period, procedural fidelity for
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Books on the topic "Monitoring the run of task"

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Sabavala, Darius J. Monitoring short-run changes in purchasing behaviour. INSEAD, 1991.

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L, Striplin Peter, Washington (State). Dept. of Ecology. Puget Sound Sediment Monitoring Unit., Washington (State). Puget Sound Water Quality Authority., and Puget Sound Ambient Monitoring Program., eds. Puget Sound Ambient Monitoring Program marine sediment monitoring task: Annual report 1990. Washington State Dept. of Ecology, Environmental Investigations and Laboratory Services Program, Ambient Monitoring Section, Puget Sound Sediment Monitoring Unit, 1992.

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Braby, Carole D. Cardiovascular and subjective measures of task demand in a low workload monitoring task: Summary report. College of Aeronautics, Cranfield Institute of Technology, 1987.

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H, Darejeh, Collins J. J, and United States. National Aeronautics and Space Administration., eds. Integrated controls and health monitoring fiberoptic shaft monitor: Final report, task E.5. Rocketdyne Division of Rockwell International Corporation, 1989.

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Manley, Patricia N. Guidelines for monitoring populations of neotropical migratory birds on national forest system lands: Monitoring task group report. U.S. Dept. of Agriculture, Forest Service, Wildlife and Fisheries Staff, 1993.

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Intergovernmental Task Force on Monitoring Water Quality (U.S.), ed. Water-quality monitoring in the United States. Intergovernmental Task Force on Monitoring Water Quality, 1994.

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Ulberg, Cy. Auto occupancy monitoring study: Final report, Research Project Y-3399, Task 33. Washington State Dept. of Transportation, State Aid Organization, in cooperation with the U.S. Dept. of Transportation, Federal Highway Administration, 1988.

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Doheny, Edward J. Geomorphic responses to stream channel restoration at Minebank Run, Baltimore County, Maryland, 2002-08. U.S. Dept. of the Interior, U.S. Geological Survey, 2012.

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New York State Newspaper Recycling Task Force. Monitoring Committee. First progress report of the New York State Newspaper Recycling Task Force Monitoring Committee. The Committee, 1990.

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), Intergovernmental Task Force on Monitoring Water Quality (U S. The strategy for improving water-quality monitoring in the United States: Final report of the Intergovernmental Task Force on Monitoring Water Quality. The Task Force, 1995.

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Book chapters on the topic "Monitoring the run of task"

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Morales-Aragón, Isabel P., Roque Torres-Sánchez, Javier Gilabert, and Fulgencio Soto-Valles. "µ-Nautilus, an autonomous lightweight profiler with depth control and configurable sampling time." In Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques. Firenze University Press, 2024. https://doi.org/10.36253/979-12-215-0556-6.84.

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Coastal lagoons, such as Mar Menor, hold significant ecological importance but are vulnerable to environmental disruptions from resource exploitation. Continuous monitoring is crucial for understanding critical situations and assessing recovery efforts. Manual sampling, as used in Mar Menor, is costly and yields limited results. Therefore, demand exists for automatic methods to enhance data collection and reduce operational tasks. This paper presents the design of a compact autonomous submersible profiler, µ-Nautilus, building upon the previous s-Nautilus model. It weighs 11 kg, which is half
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Sakai, Tetsuya. "How to Run an Evaluation Task." In Information Retrieval Evaluation in a Changing World. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22948-1_3.

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Hammami, Ahmed, Alfonso Fernandez Del Rincon, Fakher Chaari, Fernando Viadero Rueda, and Mohamed Haddar. "Planet Load Sharing Behavior During Run Up." In Applied Condition Monitoring. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41459-1_16.

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Logean, Xavier, Falk Dietrich, Hayk Karamyan, and Shawn Koppenhöfer. "Run-time Monitoring of Distributed Applications." In Middleware’98. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1283-9_28.

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Wolf, Marilyn, and Dimitrios Serpanos. "Security Testing and Run-Time Monitoring." In Safe and Secure Cyber-Physical Systems and Internet-of-Things Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25808-5_5.

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Kyas, Marcel, Cristian Prisacariu, and Gerardo Schneider. "Run-Time Monitoring of Electronic Contracts." In Automated Technology for Verification and Analysis. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88387-6_34.

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Mosalam, Khalid M., and Yuqing Gao. "Multi-task Learning." In Artificial Intelligence in Vision-Based Structural Health Monitoring. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52407-3_12.

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Cabanillas, Cristina, Claudio Di Ciccio, Jan Mendling, and Anne Baumgrass. "Predictive Task Monitoring for Business Processes." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10172-9_31.

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Chakraborty, Doran, Sabyasachi Saha, Sandip Sen, and Bradley Clement. "Negotiating Monitoring Task Allocation for Orbiters." In Distributed Computing and Networking. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11947950_31.

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de Boer, Frank S., and Stijn de Gouw. "Combining Monitoring with Run-Time Assertion Checking." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07317-0_6.

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Conference papers on the topic "Monitoring the run of task"

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Steele, A. R., M. A. Belkerdid, and E. Struble. "Passive Wireless Surface Acoustic Wave Sensors for Corrosion Monitoring of Steel in Concrete Structures." In CORROSION 2015. NACE International, 2015. https://doi.org/10.5006/c2015-06170.

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Abstract The monitoring of corrosion in steel-reinforced concrete structures utilizing embedded sensors requires that the sensors have an operating life time of decades. Today’s common corrosion sensors use embedded probes within the concrete structure requiring an outside electrical power source. Power is provided to the probes through electrical wires that run to the probe from the outside world. These cable runs could damage the integrity of concrete structures. Other typical sensors may require the use of electrochemical electrodes which have several drawbacks (e.g. short lifespan and a re
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Dehghani, Mahsa, Mehdi Elahi, Mahdi Fazeli, and Ahmad Patooghy. "Advancing IoT Security Through Run-time Monitoring & Post-Execution Verification." In 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). IEEE, 2024. http://dx.doi.org/10.1109/isvlsi61997.2024.00164.

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Skoff, Gregory, Dave Fink, Andrew Poor, et al. "Automated Offsets for Drill Bit Performance Evaluation, Analysis, and Monitoring At-Scale." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212464-ms.

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Abstract Utilizing big drilling data requires an innovative approach. The service company’s drill bits business is largely based upon an in-house drilling record system (DRS) that captures global bit record performance data. The DRS contains over 1.8 million wells drilled worldwide since 1980 with nearly 5.4 million total BHA runs from over 100 countries. In the last 10 years alone, over 1.4 million bit runs drilling over 2.8 billion ft of formation have been recorded. To utilize this vast amount of data for drill bit performance evaluation, analysis, and monitoring, the innovative approach de
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Maminov, A. "MONITORING SYSTEM DESIGN IN HIGH PERFOMANCE COMPUTING CENTER FOR SOLVING MATERIAL SCIENCE PROBLEMS." In Mathematical modeling in materials science of electronic component. LCC MAKS Press, 2022. http://dx.doi.org/10.29003/m3063.mmmsec-2022/39-43.

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The paper considers methods for monitoring the workload of resources of a high-performance complex when setting computational problems of materials science in a common execution queue. Since materials science algorithms can be effectively run in parallel and are demanding on computing resources, there is a need to use supercomputer systems. However, inefficient use of resources significantly increases the estimated time of tasks. We propose to implement a monitoring system for subsequent analysis of allocated computing resources.
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Southern, Carolyne, Joseph Wong, and Keith Bladon. "Challenges of Integrating Multidisciplinary Wayside Databases." In ASME 2012 Rail Transportation Division Fall Technical Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/rtdf2012-9446.

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A single, integrated database to store inputs from multiple, and multidisciplinary wayside systems is a pre-requisite for cross-correlation of data, and the development of intelligent algorithms to determine alarm levels and automate decision making. Australian rail operators run on three track gauges, operate a mix of American, European and uniquely Australian rolling stock, and lack a unified set of interchange standards, making the development of operational and condition monitoring rules a complex task. Over the years, Wayside Equipment vendors have adopted different database architectures
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Kumar, Manish, Nakul Varma, Manjunath Rao, et al. "Enabling Autonomous Well Optimization by Applications of Edge Gateway Devices & Advanced Analytics." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216468-ms.

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Abstract Data monitoring in a big oil field without any digital platform is a challenging task but it is critical for ALS monitoring and optimization. In sucker rod pumping wells, real time dyna card collection and analyzation is very important for understanding downhole pump behavior and system health. Manual dyna card collection twice a week for ~47 horizontal wells is very low. Real time dyna card requires atleast 256 data points per minute frequency. Its analysis is very effective to optimize well production and increase the pump life and rod run life. The lack of real time monitoring resu
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R. Rodrigues, Leonardo, and Vandilberto Pereira Pinto. "Using Prognostics and Health Monitoring Data in Load Distribution Optimization Problems." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1158.

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The use of Remaining Useful Life (RUL) predictions as a decision support tool has increased in recent years. The RUL predictions can be obtained from Prognostics and Health Management (PHM) systems that monitor the health status and estimate the failure instant of components and systems. An example of a decision-making problem that can benet from RUL predictions is the load distribution problem, which is a common problem that appears in many industrial applications. It consists in dening how to distribute a task among a set of components. In this paper, a model to solve load distribution optim
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Borisenko, Alexey, Andrey Fedorov, Ainur Akhunov, Roman Akimov, and Dmitry Tetyuk. "High-Frequency Pressure Monitoring Algorithm Improves Effectiveness of Multistage Fracturing with Chemical Diverter in Pre-Opened Ports." In SPE Caspian Technical Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/223385-ms.

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Abstract An oil company faced the challenging task to perform multistage fracturing while all burst frac ports were preliminary opened. The objective of this work is to apply a non-intrusive methodology to confirm effectiveness of multistage fracturing operations with use of a chemical diverter on pre-opened unstimulated intervals. A data-driven methodology is used for high frequency pressure monitoring and interpretation during the hammer signal distribution after pumps stop. An algorithm identifies the depth of fluid entry point and estimates the probability of the target zone stimulation. B
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Saager, Marcel, Jörn Kruse, and Anja Naumann. "Who is Responsible for What? Combining HTA and RACI for Modelling Cooperation in Remote Operation Center of Trains in Future Railway Sector." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005371.

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Since 2020, the German national railway company (DB) has been working on the "Digital Rail" project, with aim to create a better environmental balance, higher travel capacities and smoother processes by 2030. The focus here is on the large-scale use of automation. In the future, trains will run autonomously and identify hazards themselves using sensor technology. Autonomous trains with AI will take over tasks from actors, which means that the scope of actor’s tasks will be transformed. Actors, such as train operators will move away from the train to Remote Operation Centers (ROC). This will re
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Canter, Maria. "ENHANCING SELF-REGULATION SKILLS IN E-LEARNING ENVIRONMENTS." In eLSE 2019. Carol I National Defence University Publishing House, 2019. http://dx.doi.org/10.12753/2066-026x-19-073.

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In order to become independent learners, the students must develop self-regulation learning competences. The self-regulated learning process is closely connected to the student, the environment and the teacher, and it has been scientifically proved that it can be of three types: internal, external or mixed; thus, the internal one can be associated with the goal or the intrinsic motivation of the student, the external one deals with external factors and the mixed one relates to both the student and the teacher equally. An external factor can be the learning environment, in this case, the e-lear
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Reports on the topic "Monitoring the run of task"

1

Tate, D. D. Standard hydrogen monitoring system (SHMS) engineering task plan. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/10148761.

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Villaran, M., R. Lofaro, and na. Condition Monitoring of Cables Task 3 Report: Condition Monitoring Techniques for Electric Cables. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1013436.

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MCCAIN, D. J. Engineering task plan for standard hydrogen monitoring system operation. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/782445.

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MCCAIN, D. J. Engineering Task Plan for Standard Hydrogen Monitoring System Operation. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/798705.

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Caffall, Dale S., Thomas Cook, Doron Drusinsky, James B. Michael, Man-Tak Shing, and Nicholas Sklavounos. Formal Specification and Run-time Monitoring Within the Ballistic Missile Defense Project. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada436597.

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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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NORMAN, E. C. Engineering Task Plan for Fourth Generation Hanford Corrosion Monitoring System. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/803951.

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DEFENSE SCIENCE BOARD WASHINGTON DC. Task Force Report: Assessment of Nuclear Monitoring and Verification Technologies. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada608149.

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Perren, Will, Bryn Balcombe, Ben Simpson, and Kostas Kourantidis. PPR2018 - Automated Vehicle Safety Assurance - In-use Safety and Security Monitoring - Task 3: Safety Monitoring Framework. TRL, 2022. http://dx.doi.org/10.58446/sgxq7004.

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This report examines the feasibility of establishing a regulatory scheme for In-Use Safety and Security monitoring. This report assesses the legal, societal and technological requirements of such a scheme to continually monitor the safety of Automated Vehicles (AVs) using both in-vehicle data streams and operational data. A framework has been proposed which outlines a process of event based data capture, data recall, analysis, investigation, and regulatory intervention to maintain the safety of AVs deployed on roads in Great Britain.
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Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.

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The Indiana Department of Transportation (INDOT) uses about 600 digital cameras along populated Indiana highways in order to monitor highway traffic conditions. The videos from these cameras are currently observed by human operators looking for traffic conditions and incidents. However, it is time-consuming for the operators to scan through all video data from all the cameras in real-time. The main objective of this research was to develop an automatic and real-time system and implement the system at INDOT to monitor traffic conditions and detect incidents automatically. The Transportation and
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