Thematische Bibliographien / Monitoring the run of task

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Auswahl der wissenschaftlichen Literatur zum Thema „Monitoring the run of task“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 7. Februar 2022

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Zeitschriftenartikel zum Thema "Monitoring the run of task"

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 applications based on heterogeneous computing nodes layers: an application layer, management layer, and resource layer. The goal is to minimize the makespan of all applications. Based on these layers, the work proposes a secure offloading-efficient task scheduling (SEOS) algorithm framework, which includes the deadline division method, task sequencing rules, homomorphic security scheme, initial scheduling, and the variable neighbourhood searching method. The performance evaluation results show that the proposed plans outperform all existing baseline approaches for healthcare applications in terms of makespan.

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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 primarily visual capabilities to achieve this. Our static and dynamic software agent visualization techniques have been used on several projects where distributed information processing, system interfacing, work coordination and task automation are required. We illustrate our visualization techniques with examples from these domains.

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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 duration of the test, an initially stable TUT phase was followed by a metastable phase (i.e., switches between TUT and TRT) an a final stable TRT phase nearing volitional exhaustion. The stable TRT phase lasted longer in runners group (p < .05) and included higher probabilities in pace monitoring thoughts subcategory (p < .05). The results revealed that trained runners seem to use TRT (i.e., pace monitoring) to maximize performance, and confirm the nonlinear model of attention focus during incremental maximal run in trained runners and nonrunners.

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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 practitioners and administer to tune parameters to get better performance.

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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 avoiding the consequences of the exploitations. Currently, there is no detailed classification of the proposed monitoring approaches to understand their common characteristics, objectives, and limitations. In this paper, the authors classify runtime BOF attack monitoring and prevention approaches based on seven major characteristics. Finally, these approaches are compared for attack detection coverage based on a set of BOF attack types. The classification will enable researchers and practitioners to select an appropriate BOF monitoring approach or provide guidelines to build a new one.

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Naik, K. Jairam, and D. Hanumanth Naik. "Minimizing Deadline Misses and Total Run-time with Load Balancing for a Connected Car Systems in Fog Computing." Scalable Computing: Practice and Experience 21, no. 1 (2020): 73–84. http://dx.doi.org/10.12694/scpe.v21i1.1616.

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Cloud computing helps in providing the applications with a few number of resources that are used to unload the tasks. But there are certain applications like coordinated lane change assistance which are helpful in cars that connects to internet has strict time constraints, and it may not be possible to get the job done just by unloading the tasks to the cloud. Fog computing helps in reducing the latency i.e the computation is now done in local fog servers instead of remote datacentres and these fog servers are connected to the nearby distance to clients. To achieve better timing performance in fog computing load balancing in these fog servers is to be performed in an efficient manner.The challenges in the proposed application includes the number of tasks are high, client mobility and heterogeneous nature of fog servers. We use mobility patterns of connected cars and load balancing is done periodically among fog servers. The task model presented here in this paper solves scheduling problem and this is done at the server level and not on the device level. And at last, we present an optimization problem formulation for balancing the load and for reducing the misses in deadline, also the time required for running the task in these cars will be minimized with the help of fog computing. It also performs better than somecommon algorithms such as active monitoring, weighted round robin and throttled load balancer.

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Bukit, Alexander Victor, I. Nengah Putra A, Febryan Galih Rahardi, and Ahmadi Ahmadi. "DESIGN OF TEMPERATURE AND AIR HUMIDITY MONITORING INFORMATION SYSTEM BASED ON ANDROID AND IOT (INTERNET OF THINGS)." JOURNAL ASRO 11, no. 2 (2020): 102. http://dx.doi.org/10.37875/asro.v11i2.273.

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For a soldier, physical abilities are needed in every task implementation, so the daytime running activities become a compulsory menu for every soldier who is carrying out education. Both the basic military education and further education. According to health experts, benefit of jogging is to lose weight so as to avoid obesity, improve the ability of the lungs, heart and various other health benefits. However, we also have to pay attention to the temperature of the air because it is at a certain temperature, it will be very risky if we carry out the afternoon run. Not a few victims affected by heat stroke due to run during the day with high air temperatures. The current mechanism, temperature measurements are carried out manually by members of the local Satkes, then the Satkes report the results of temperature measurements to Binjas and then Binjas decide whether or not to run afternoons that day. After the decision was made, the Binjas reported to the guard division and the guard to spread the news through the prayer watch. Therefore, with this android-based temperature and humidity monitoring information system, we can easily find out whether today's temperature is safe or not to carry out daytime running activities.Keywords : Afternoon Run, Heat stroke, Android.

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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 approach include the demanding run-time requirements of monitoring, the scarceness of observations (increasing monitoring uncertainty), and the need to scale-up monitoring to address potentially large teams. To address these, we present a set of complementary novel techniques, exploiting knowledge of the social structures and procedures in the monitored team: (i) an efficient probabilistic plan-recognition algorithm, well-suited for processing communications as observations; (ii) an approach to exploiting knowledge of the team's social behavior to predict future observations during execution (reducing monitoring uncertainty); and (iii) monitoring algorithms that trade expressivity for scalability, representing only certain useful monitoring hypotheses, but allowing for any number of agents and their different activities to be represented in a single coherent entity. We present an empirical evaluation of these techniques, in combination and apart, in monitoring a deployed team of agents, running on machines physically distributed across the country, and engaged in complex, dynamic task execution. We also compare the performance of these techniques to human expert and novice monitors, and show that the techniques presented are capable of monitoring at human-expert levels, despite the difficulty of the task.

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Jade, Ankita, Nikita Bhirud, Gauri Patwari, and Ankita Vaste. "Identification and Detection of Missing RFID Tags using RUN Protocol." International Journal Of Engineering And Computer Science 7, no. 02 (2018): 23531–34. http://dx.doi.org/10.18535/ijecs/v7i2.04.

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As human race or human society is growing, the wildlife animals or wild animals are in danger. But as per natures rule, every living creature on this earth is important and has important role ecosystem. The domestic animals get misplaced sometimes and finding them is a tedious task. RFID and sensors have been deployed to detect and identify missing animals by affixing them with cheap passive RFID tag and monitoring them with RFID readers. So the proposed system will help us to detect and find the missing animals using RUN protocol. RUN protocol uses slotted aloha for communication between tags and readers. It execute multiple frame for different seeds to reduce the effect of unexpected tags and also it reduces the time of missing tag detection and identification. To obtain optimal frame sizes and minimum no of times aloha frames should be executed to mitigate the effect of unexpected tags. RUN protocol works with multiple readers with overlapping region. It identifies 100% missing tags in the presence of unexpected tags where as other protocol only identifies 60% of missing tags.

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Dolev, Shlomi, Jonathan Goldfeld, Rami Puzis, and Muni Venkateswarlu K. "Efficient online detection of temporal patterns." PeerJ Computer Science 2 (April 13, 2016): e53. http://dx.doi.org/10.7717/peerj-cs.53.

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Identifying a temporal pattern of events is a fundamental task of online (real-time) verification. We present efficient schemes for online monitoring of events for identifying desired/undesired patterns of events. The schemes use preprocessing to ensure that the number of comparisons during run-time is minimized. In particular, the first comparison following the time point when an execution sub-sequence cannot be further extended to satisfy the temporal requirements halts the process that monitors the sub-sequence.

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Dissertationen zum Thema "Monitoring the run of task"

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 entire system is created. After that the selected parts of implementation and the way of the whole system testing is described together with the comparison of the efficiency with the original system.

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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 thesis examines how a 'conventional' contract can be converted into its electronic equivalent and how it can be used for controlling business interactions taking place through computer messages. To implement a contract electronically, a conventional text contract needs to be described in a mathematically precise notation so that the description can be subjected to rigorous analysis and freed from the ambiguities that the original humanoriented text is likely to contain. Furthermore, a suitable run time infrastructure is required for monitoring the executable version of the contract. To address these issues, this thesis describes how standard conventional contracts can be converted into Finite State Machines (FSMs). It is illustrated how to map the rights and obligations extracted from the clauses of the contract into the states, transition and output functions, and input and output symbols of a FSM. The thesis then goes on to develop a list of correctness properties that a typical executable business contract should satisfy. A contract model should be validated against safety properties, which specify situations that the contract must not get into (such as deadlocks, unreachable states ... etc), and liveness properties, which detail qualities that would be desirable for the contract to contain (responsiveness, accessibility ... etc). The FSM description can then be subjected to model checking. This is demonstrated with the aid of examples using the Promela language and the Spin validator. Subsequently, the FSM representation can be used to ensure that the clauses stipulated in the contract are observed when the contract is executed. The requirements of a suitable run time infrastructure for monitoring contract compliance are discussed and a prototype middleware implementation is presented.

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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 describes work that has been carried out in the area of run-time requirements monitoring. A framework has been developed for monitoring requirements which are formally specified using temporal logic and the KAOS goal-oriented requirements specification language. The framework uses AspecU to instrument the monitored system so that events are emitted which are used to determine whether the monitored system satisfies the requirements specification. The framework also provides a language which can specify a mapping between requirements and implementation which can be used to generate instrumentation code. The monitoring framework supports monitoring of soft goals by allowing the formal specification of metrics which can be used to determine whether soft goals are in fact being satisfied. These contributions are validated using a workforce scheduling system as a case study. This is a real world system and the requirements monitored were those considered useful by the developers of the system. The case study shows that the monitoring framework can be used to instrument a system to monitor hard and soft goals and that those goals can be monitored with reasonable performance overhead. Goal failures due to changes in the environment can be detected using the information supplied by the monitoring framework.

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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 workload, in which they were asked to count every fourth low frequency tone and a high workload in which they were asked to count every fourth low, medium and high frequency tone. In experiment 1, runners performed the tone-counting tasks both while running on a steep trail with uneven terrain and while seated (control conditions). In addition, they ran the trail without a cognitive task load. Running distance and counting accuracy significantly decreased during the dual task trials, there was a linear trend the run distance decreased as the task got harder. As the secondary cognitive task demand increased running performance decreased (linear trend). Cognitive performance was only significantly impaired while running for the hard cognitive task (for the easy cognitive task there was no statistically significant difference). Participants reported an increased workload in the dual run-counting task conditions when compared with the seated task conditions. Reports of task focus and feeling of being spent (exhausted) also varied across task conditions. In experiment 2 unconstrained running was conducted in the same manner, on a flat-even terrain track to establish if the route selection and scanning required to negotiate uneven terrain was causing the dual-task interference, or if there is a general interference effect caused by the self-regulatory demands of running, or the direct demands of running itself (exercise). The linear trend of decreased running performance with increased secondary cognitive demand was similar to experiment 1 - the more cognitive load the less distance traveled. The effect on the cognitive task was, however, not evident in experiment 2; there was no statistically significant difference between cognitive task performance in the dual and single-task conditions. The findings outlined in these experiments, demonstrate dual cognitive tasks have a negative effect on running performance, and the cognitive task may also be affected depending on running intensity, particularly where self-paced natural running over terrain is coupled with complex cognitive tasks.

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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 monitoring labour productivity of multiple workers at the same time accurately, unobtrusively, cost and time efficiently. This thesis proposes a framework to address this gap. It hypothesizes that task productivity of construction workers can be monitored through their trajectory data. The proposed framework uses as input, video data streamed from cameras with overlapping field of view. It consists of two main methods. The output of the first is the input of the second. The first method tracks the location of workers across the range of a jobsite over time and returns their 4D trajectories. Such type of tracking requires that workers are matched under a unique ID not only across successive frames of a single camera (intra tracking) but also across multiple cameras (inter tracking). Existing tag-less studies fail to track construction workers due to the challenging nature of their working environments. Therefore, two novel computer vision-based algorithms are developed to perform both the intra and the inter camera tracking. The second method of the proposed framework converts the 4D trajectories of workers into productivity information. These trajectories are clustered into work cycles with an accuracy of 95%, recall of 76% and precision of 76%. Such work cycles depict the actual execution of tasks. The overall proposed framework features an average accuracy of 95% in terms of determining the total time workers spend on construction-related tasks.

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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, utilizing heterogeneous clusters requires application developers’ comprehensive knowledge on both hardware and software. In order to assist programmers to take advantage of the synergy between hardware and software easily, an easy-to-use framework for virtualizing the underlying FPGA computing resources of the heterogeneous cluster is motivated. In this work, a heterogeneous cluster consisting of both FPGAs and CPUs was built and a framework for managing multiple FPGAs across the cluster was designed. The major contribution of the framework is to provide an abstraction layer between the application developer and the underlying FPGA computing resources, so as to improve the overall design productivity. An inter-FPGA communication system was implemented such that gateware executing on FPGAs can communicate with each other autonomously to the CPU. Furthermore, to demonstrate a real-life application on the heterogeneous cluster, a generic k-means clustering application was implemented, using the MapReduce programming model. The implementation of the k-means application on multiple FPGAs was compared with a software-only version that was run on a Hadoop multi-core computer cluster. The performance results show that the FPGA version outperforms the Hadoop version across various parameters. An in-depth study on the communication bottleneck presented in the system was also carried out. A number of experiments were specifically designed to benchmark the performance of each I/O channel. The study shows that the major source of I/O bottleneck lies at the communication between the host system and the FPGA. This gives insight into programming considerations of potential applications on the cluster as well as improvement to the framework. Moreover, the benefit of multiple FPGAs was investigated through a series of experiments. Compared with putting all mappers on a single FPGA, it was found that distributing the same amount of mappers across more FPGAs can provide a tradeoff between FPGA resources and I/O performance. published_or_final_version Electrical and Electronic Engineering Master Master of Philosophy

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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 limited in Fog manufacturing. Therefore, it is significant to effectively utilize the computation services based on the optimal computation task offloading, scheduling, and hardware autoscaling strategies to finish the computation tasks on time without compromising on the quality of the computation service. A prerequisite for adapting such optimal strategies is to accurately predict the run-time metrics (e.g., Time-latency) of the Fog nodes by capturing their inherent stochastic nature in real-time. It is because these run-time metrics are directly related to the performance of the computation service in Fog manufacturing. Specifically, since the computation flow and the data querying activities vary between the Fog nodes in practice. The run-time metrics that reflect the performance in the Fog nodes are heterogenous in nature and the performance cannot be effectively modeled through traditional predictive analysis. In this thesis, a multi-task learning methodology is adopted to predict the run-time metrics that reflect performance in Fog manufacturing by addressing the heterogeneities among the Fog nodes. A Fog manufacturing testbed is employed to evaluate the prediction accuracies of the proposed model and benchmark models. The proposed model can be further extended in computation tasks offloading and architecture optimization in Fog manufacturing to minimize the time-latency and improve the robustness of the system. Master of Science Smart manufacturing aims at utilizing Internet of things (IoT), data analytics, cloud computing, etc. to handle varying market demand without compromising the productivity or quality in a manufacturing plant. To support these efforts, Fog manufacturing has been identified as a suitable computing architecture to handle the surge of data generated from the IoT devices. In Fog manufacturing computational tasks are completed locally through the means of interconnected computing devices called Fog nodes. However, the communication and computation resources in Fog manufacturing are limited. Therefore, its effective utilization requires optimal strategies to schedule the computational tasks and assign the computational tasks to the Fog nodes. A prerequisite for adapting such strategies is to accurately predict the performance of the Fog nodes. In this thesis, a multi-task learning methodology is adopted to predict the performance in Fog manufacturing. Specifically, since the computation flow and the data querying activities vary between the Fog nodes in practice. The metrics that reflect the performance in the Fog nodes are heterogenous in nature and cannot be effectively modeled through conventional predictive analysis. A Fog manufacturing testbed is employed to evaluate the prediction accuracies of the proposed model and benchmark models. The results show that the multi-task learning model has better prediction accuracy than the benchmarks and that it can model the heterogeneities among the Fog nodes. The proposed model can further be incorporated in scheduling and assignment strategies to effectively utilize Fog manufacturing's computational services.

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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 comprehension monitoring in children aged 7 to 10 years. A series of experiments are presented which explore monitoring of nonwords, general knowledge violations and internal inconsistencies using off-line and real-time measures. Experiments also explore the relationship between monitoring and working memory capacity. Findings reveal developmental differences in comprehension monitoring. Older children are better at correctly judging the sense of information and more likely to adjust their reading behaviour in relation to error information. It seems that both age groups undertake similar monitoring behaviours, albeit with different levels of success. A range of task and reader characteristics influence monitoring skill. Findings demonstrate that task instructions influence reading behaviour. Children undertake a more purposeful and careful reading of the text when alerted that texts may contain errors. Findings also demonstrate differences in children’s proficiency in adopting standards of evaluation. Children encounter most difficulties in adopting the internal consistency standard, perhaps because this standard requires children to integrate and compare the comprehensibility of information at the text-level. In addition, within error manipulations demonstrate that children use the explicitness of error information as a criterion for monitoring comprehension. Further, findings reveal that the relationship between comprehension monitoring and working memory capacity is relatively weak. Interestingly, these findings question the importance of working memory capacity as a source of monitoring difficulties. In the context of the situation model, these findings suggest that monitoring difficulties may arise from failures in constructing a richly elaborated situation model, rather than failures in updating the situation model.

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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 training the supervisor, intervention integrity of the supervisor's training of the group leaders, treatment acceptability, and social validity. Results showed that the intervention was successful in increasing the overall task completion for both participating group leaders in multiple work intervals and that the intervention was implemented with fidelity and integrity.

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Bücher zum Thema "Monitoring the run of task"

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

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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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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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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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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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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. U.S. Geological Survey, Office of Water Data Coordination, 1995.

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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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), 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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Buchteile zum Thema "Monitoring the run of task"

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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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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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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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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Benbernou, S., H. Meziane, and M. S. Hacid. "Run-Time Monitoring for Privacy-Agreement Compliance." In Service-Oriented Computing – ICSOC 2007. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74974-5_29.

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Happa, Jassim, Nick Moffat, Michael Goldsmith, and Sadie Creese. "Run-Time Monitoring of Data-Handling Violations." In Computer Security. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12786-2_13.

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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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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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Konferenzberichte zum Thema "Monitoring the run of task"

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 and data structures for their proprietary systems. Recognizing the need for an industry-wide standard, Pacific National and Track Owners in Australia have initiated a project to develop the architecture for an integrated, open database to capture and store data feeds from multiple wayside systems, from different suppliers. This paper describes the objectives, constraints, challenges and projected benefits of the project for the track owner and the rail operator, and the planned implementation of an integrated condition monitoring database in the Australian rail environment.

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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 optimization problems is proposed. The proposed model considers the RUL prediction of each component in its formulation. Also, the proposed model assumes that the predicted RUL of each component is a function of the load assigned to that component. Thus, it is possible to distribute the load to avoid multiplecomponents to fail in a short interval. An approach based on the MMKP (Multiple-choice Multidimensional Knapsack Problem) is adopted. The proposed model nds a load distribution that minimizes the operational cost subject to a maintenance personnel capacity constraint, i.e. there is a maximum number of components that can be simultaneously on repair. A numerical case study considering a gas compressor station is presented to illustrate the application of theproposed model.

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Kobayashi, Felipe Kawashita, Andrea Britto Mattos, Maysa M. G. Macedo, and Bruno H. Gemignani. "Citrus Tree Classification from UAV Images: Analysis and Experimental Results." In XV Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/wvc.2019.7624.

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The use of unmanned aerial vehicles (UAVs) and computer vision for automating farm operations is growing rapidly: time-consuming tasks such as crop monitoring may be solved in a more efﬁcient, precise, and less error-prone manner. In particular, for estimating productivity and managing pests, it is fundamental to characterize crop regions into four classes: (i) full-grown trees, (ii) tree seedlings, (iii) tree gaps, and (iv) background. In this paper, we address the classiﬁcation of images from citrus plantations, acquired by UAVs, into the previously mentioned categories. While Deep learning-based methods allow to achieve high accuracy values for classiﬁcation, explainability remains an issue. Therefore, our approach is to run an experimental analysis that allows to derive the effects of different parametrizations (involving descriptors, classiﬁers, and sampling methods) when applied to our citrus dataset.

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Bondi, Elizabeth, Ashish Kapoor, Debadeepta Dey, et al. "Near Real-Time Detection of Poachers from Drones in AirSim." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/847.

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The unrelenting threat of poaching has led to increased development of new technologies to combat it. One such example is the use of thermal infrared cameras mounted on unmanned aerial vehicles (UAVs or drones) to spot poachers at night and report them to park rangers before they are able to harm any animals. However, monitoring the live video stream from these conservation UAVs all night is an arduous task. Therefore, we discuss SPOT (Systematic Poacher deTector), a novel application that augments conservation drones with the ability to automatically detect poachers and animals in near real time. SPOT illustrates the feasibility of building upon state-of-the-art AI techniques, such as Faster RCNN, to address the challenges of automatically detecting animals and poachers in infrared images. This paper reports (i) the design of SPOT, (ii) efficient processing techniques to ensure usability in the field, (iii) evaluation of SPOT based on historical videos and a real-world test run by the end-users, Air Shepherd, in the field, and (iv) the use of AirSim for live demonstration of SPOT. The promising results from a field test have led to a plan for larger-scale deployment in a national park in southern Africa. While SPOT is developed for conservation drones, its design and novel techniques have wider application for automated detection from UAV videos.

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Ma, Zhe, Daniele P. Scarpazza, and Francky Catthoor. "Run-time Task Overlapping on Multiprocessor Platforms." In 2007 IEEE/ACM/IFIP Workshop on Embedded Systems for Real-Time Multimedia. IEEE, 2007. http://dx.doi.org/10.1109/estmed.2007.4375801.

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Ganeshpure, Kunal, and Sandip Kundu. "On run time task graph extraction of SoC." In 2010 International SoC Design Conference (ISOCC 2010). IEEE, 2010. http://dx.doi.org/10.1109/socdc.2010.5682892.

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Klaver, Luuk, Thijs van der Knaap, Johan van der Geest, Edwin Harmsma, Bram van der Waaij, and Paolo Pileggi. "Towards Independent Run-Time Cloud Monitoring." In ICPE '21: ACM/SPEC International Conference on Performance Engineering. ACM, 2021. http://dx.doi.org/10.1145/3447545.3451180.

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Krishne Gowda, Y. T., Ravindra Holalu Venkatdas, and Vikram Chowdeswarally Krishnappa. "Flow Past Square Cylinders of Different Size With and Without Corner Modification." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50274.

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In many mechanical engineering applications, separated flows often appear around any object such as tall buildings, monuments, and towers are permanently exposed to wind. Similarly, piers, bridge pillars, and legs of offshore platforms are continuously subjected to the load produced by maritime or fluvial streams. These bodies usually create a large region of separated flow and a massive unsteady wake region in the downstream. The highly asymmetric and periodic nature of flow in the downstream has attracted the attention of physicists, engineers and CFD practitioners. A lot of research work is carried out for a square cylinder but flow past square cylinders with and without corner modification work is not taken up. This motivated to take up the task of flow past two different sized square cylinders, numerically simulated. A Reynolds number of 100 and 200 is considered for the investigation. The flow is assumed to be two dimensional unsteady and incompressible. The computational methodology is carried out once the problem is defined the first step in solving the problem is to construct a geometry on which the simulation is planned. Once the geometry is constructed, proper assignment of its boundaries in accordance to the actual physical state is to be done. The various boundary options that are to be set. After setting the boundary types, the continuum type is set. The geometry is discretized into small control volumes. Once the surface mesh is completed, the mesh details are exported to a mesh file, then exported to Fluent, which is CFD solver usually run in background mode. This helps to prioritize the execution of the run. The run would continue until the required convergence criterion is reached or till the maximum number of iterations is completed. Results indicate, in case of chamfered and rounded corners in square cylinder, there is decrease in the wake width and thereby the lift and drag coefficient values. The form drag is reduced because of a higher average pressure downstream when separation is delayed by corner modification. The lift coefficients of Square cylinder with corner modification decreases but Strouhal number increases when compared with a square cylinder without corner modification. Strouhal number remains same even if magnitude of oscillations is increased while monitoring the velocity behind the cylinder. Frequency of vortex shedding decreases with the introduction of second cylinder either in the upstream or downstream of the first cylinder. As the centre distance between two cylinders i.e., pitch-to-perimeter ratio is increased to 6,the behavior of the flow almost approaches to that of flow past a square cylinder of with and without modification of same condition. When the perimeter of the upstream cylinder with and without modification is larger than the downstream cylinder, the size of the eddies is always bigger in between the cylinders compared to the downstream of the second cylinder. The flow velocity in between the cylinders with and without corner modification are less compared to the downstream of the second cylinder. As the distance increases, the flow velocity in between the cylinders become almost equal to the downstream of the second cylinder. The results are presented in the form of streamlines, flow velocity, pressure distribution. drag coefficient, lift coefficient and Strouhal number.

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Bolong, Wang, Li Weihua, Jia Haijun, and Li Jun. "The Effects of a Non-Condensable Gas on Pressurizer Insurge Transients Under the High Pressure." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-81772.

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The prediction of the pressurizer response during various transients plays an important role in determining what actions should be taken to control or mitigate the consequence of an accident. For this reason, a range of different experiments have been completed which aim to support a preliminary understanding of the phenomena which are important to the analysis of a PWR pressurizer. As so far, the researches on these subjects are focusing on the low pressure, there are rarely researches on the high pressure. Hence, the effects of a non-condensable gas on pressurizer insurge transients under high pressure are necessary and significant. The study concentrates on the pressure response and heat transfer during an insurge transient under the high pressure. These experiments were run in two cylindrical stainless steel tanks: the primary tank and the storage tank. In this research, the experiments looked at the effects of water level increase and the presence of a non-condensable gas with varying mass fraction. Nitrogen was chosen as the non-condensable gas. The storage tank was filled with water and pressurized with nitrogen. An insurge to the primary tank with hot walls was initiated by opening the high pressure solenoid valve between two tanks. The experiments assigned lots of thermocouples for monitoring the radial and axial temperature distribution. Experiments showed that the non-condensable gas has a substantial influence on the pressure response. And the magnitude of the increase in peak pressure is quite different with the change of experiment initial conditions.

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Auguston, M. "Run time monitoring of reactive system models." In "Second International Workshop on Dynamic Analysis (WODA 2004)" W10S Workshop - 26th International Conference on Software Engineering. IEE, 2004. http://dx.doi.org/10.1049/ic:20040302.

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Berichte der Organisationen zum Thema "Monitoring the run of task"

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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Van Orden, K. F. Monitoring Moment-to-Moment Operator Workload Using Task Load and System-State Information. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada390275.

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EDGEMON, G. L. Engineering Task Plan for the 241-AN-105 Multi-Function Corrosion Monitoring System. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/797684.

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