Relevant bibliographies by topics / Simulator-enabled

Academic literature on the topic 'Simulator-enabled'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Simulator-enabled"

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Marcano, Laura, Finn Aakre Haugen, Ronny Sannerud, and Tiina Komulainen. "Review of simulator training practices for industrial operators: How can individual simulator training be enabled?" Safety Science 115 (June 2019): 414–24. http://dx.doi.org/10.1016/j.ssci.2019.02.019.

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E. "Web-Enabled Framework for Real-Time Scheduler Simulator: A Teaching Too." Journal of Computer Science 6, no. 4 (April 1, 2010): 374–80. http://dx.doi.org/10.3844/jcssp.2010.374.380.

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Aman, Azana Hafizah Mohd, Aisha-Hassan A. Hashim, Huda Adibah Mohd Ramli, and Shayla Islam. "Handover Analysis for Multicast Enabled Network Mobility Management Using Network Simulator." International Journal of Multimedia and Ubiquitous Engineering 12, no. 3 (March 31, 2017): 81–90. http://dx.doi.org/10.14257/ijmue.2017.12.3.09.

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Wei, Wenjie, Omar al-Khayat, and Xing Cai. "An OpenMP-enabled parallel simulator for particle transport in fluid flows." Procedia Computer Science 4 (2011): 1475–84. http://dx.doi.org/10.1016/j.procs.2011.04.160.

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Zaidi, Syed Muhammad Asad, Marvin Manalastas, Hasan Farooq, and Ali Imran. "SyntheticNET: A 3GPP Compliant Simulator for AI Enabled 5G and Beyond." IEEE Access 8 (2020): 82938–50. http://dx.doi.org/10.1109/access.2020.2991959.

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Sugand, Kapil, Kash Akhtar, Chetan Khatri, Justin Cobb, and Chinmay Gupte. "Training effect of a virtual reality haptics-enabled dynamic hip screw simulator." Acta Orthopaedica 86, no. 6 (July 13, 2015): 695–701. http://dx.doi.org/10.3109/17453674.2015.1071111.

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Kamezaki, Mitsuhiro, Hiroyasu Iwata, and Shigeki Sugano. "Development of an Operation Skill-Training Simulator for Double-Front Construction Machinery – Training Effect for a House Demolition Work –." Journal of Robotics and Mechatronics 20, no. 4 (August 20, 2008): 602–9. http://dx.doi.org/10.20965/jrm.2008.p0602.

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This paper reports a newly developed simulator for operation skill training in Double-Front Construction Machinery (DFCM) that allows novices to virtually experience tough operations repeatedly using DFCM under various conditions, including dangerous congestion. First, we selected several situations targeted where the DFCM needs to be used to provide a high level of operation skills: sorted dismantling for recycling and reusing resources, rescue and recovery work in disaster areas, and building construction. In addition, we developed an operation skill-training simulator that enables novice operators to repeatedly train with the high level of operation skills needed to easily and safely handle the DFCM in even more complicated works. This simulator system has two joysticks (set in front of a monitor) to dependently control the two fronts of the animated DFCM on the monitor. Several modes involving basic construction tasks are provided and the effects of improvement in operability achieved by the training simulator can be verified. Evaluation experiments indicated that repeated training using the simulator successfully decreased the operation time to complete a task and enhanced positioning accuracy in cooperative transportation with the two fronts. The results confirm the effectiveness of the developed simulator. Futhermore, it was confirmed that informational or operational support based on knowledge provided from experiment results enabled work performance greatly improved.
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Lee, Geonil, Seongmin Ha, and Jae-il Jung. "Integrating Driving Hardware-in-the-Loop Simulator with Large-Scale VANET Simulator for Evaluation of Cooperative Eco-Driving System." Electronics 9, no. 10 (October 8, 2020): 1645. http://dx.doi.org/10.3390/electronics9101645.

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Recent advances in information and communication technology (ICT) have enabled interaction and cooperation between components of the transportation system, and cooperative eco-driving systems that apply ICT to eco-driving systems are receiving significant attention. A cooperative eco-driving system is a complex system that requires consideration of the electronic control unit (ECU) and vehicle-to-everything (V2X) communication. To evaluate these complex systems, it is needed to integrate simulators with expertise. Therefore, this study presents an integrated driving hardware-in-the-loop (IDHIL) simulator for the testing and evaluation of cooperative eco-driving systems. The IDHIL simulator is implemented by integrating the driving hardware-in-the-loop simulator and a vehicular ad hoc network simulator to develop and evaluate a hybrid control unit and cooperative eco-driving application for the connected hybrid electric vehicle (CHEV). A cooperative eco-driving speed guidance application is utilized to demonstrate the use of our simulator. The results of the evaluation show the improved fuel efficiency of the CHEV through a calculation of the optimal speed profile and the optimal distribution of power based on V2X communication. Finally, this paper concludes with a description of future directions for the testing and evaluation of cooperative eco-driving systems.
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Sheehan, Florence H., Shannon McConnaughey, Rosario Freeman, and R. Eugene Zierler. "Formative Assessment of Performance in Diagnostic Ultrasound Using Simulation and Quantitative and Objective Metrics." Military Medicine 184, Supplement_1 (March 1, 2019): 386–91. http://dx.doi.org/10.1093/milmed/usy388.

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Abstract Background We developed simulator-based tools for assessing provider competence in transthoracic echocardiography (TTE) and vascular duplex scanning. Methods Psychomotor (technical) skill in TTE image acquisition was calculated from the deviation angle of an acquired image from the anatomically correct view. We applied this metric for formative assessment to give feedback to learners and evaluate curricula. Psychomotor skill in vascular ultrasound was measured in terms of dexterity and image plane location; cognitive skill was assessed from measurements of blood flow velocity, parameter settings, and diagnosis. The validity of the vascular simulator was assessed from the accuracy with which experts can measure peak systolic blood flow velocity (PSV). Results In the TTE simulator, the skill metric enabled immediate feedback, formative assessment of curriculum efficacy, and comparison of curriculum outcomes. The vascular duplex ultrasound simulator also provided feedback, and experts’ measurements of PSV deviated from actual PSV in the model by <10%. Conclusions Skill in acquiring diagnostic ultrasound images of organs and vessels can be measured using simulation in an objective, quantitative, and standardized manner. Current applications are provision of feedback to learners to enable training without direct faculty oversight and formative assessment of curricula. Simulator-based metrics could also be applied for summative assessment.
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Guo, Zhaoxiang, Yonghang Tai, Zhibao Qin, Xiaoqiao Huang, Qiong Li, Jun Peng, and Junsheng Shi. "Development and assessment of a haptic-enabled holographic surgical simulator for renal biopsy training." Soft Computing 24, no. 8 (September 17, 2019): 5783–94. http://dx.doi.org/10.1007/s00500-019-04341-4.

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Dissertations / Theses on the topic "Simulator-enabled"

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Hammoud, Suhel. "MapReduce network enabled algorithms for classification based on association rules." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/5833.

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There is growing evidence that integrating classification and association rule mining can produce more efficient and accurate classifiers than traditional techniques. This thesis introduces a new MapReduce based association rule miner for extracting strong rules from large datasets. This miner is used later to develop a new large scale classifier. Also new MapReduce simulator was developed to evaluate the scalability of proposed algorithms on MapReduce clusters. The developed associative rule miner inherits the MapReduce scalability to huge datasets and to thousands of processing nodes. For finding frequent itemsets, it uses hybrid approach between miners that uses counting methods on horizontal datasets, and miners that use set intersections on datasets of vertical formats. The new miner generates same rules that usually generated using apriori-like algorithms because it uses the same confidence and support thresholds definitions. In the last few years, a number of associative classification algorithms have been proposed, i.e. CPAR, CMAR, MCAR, MMAC and others. This thesis also introduces a new MapReduce classifier that based MapReduce associative rule mining. This algorithm employs different approaches in rule discovery, rule ranking, rule pruning, rule prediction and rule evaluation methods. The new classifier works on multi-class datasets and is able to produce multi-label predications with probabilities for each predicted label. To evaluate the classifier 20 different datasets from the UCI data collection were used. Results show that the proposed approach is an accurate and effective classification technique, highly competitive and scalable if compared with other traditional and associative classification approaches. Also a MapReduce simulator was developed to measure the scalability of MapReduce based applications easily and quickly, and to captures the behaviour of algorithms on cluster environments. This also allows optimizing the configurations of MapReduce clusters to get better execution times and hardware utilization.
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Iqbal, Muhamad Syamsu. "Performance of IEEE 802.15.4 beaconless-enabled protocol for low data rate ad hoc wireless sensor networks." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/12852.

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This thesis focuses on the enhancement of the IEEE 802.15.4 beaconless-enabled MAC protocol as a solution to overcome the network bottleneck, less flexible nodes, and more energy waste at the centralised wireless sensor networks (WSN). These problems are triggered by mechanism of choosing a centralised WSN coordinator to start communication and manage the resources. Unlike IEEE 802.11 standard, the IEEE 802.15.4 MAC protocol does not include method to overcome hidden nodes problem. Moreover, understanding the behaviour and performance of a large-scale WSN is a very challenging task. A comparative study is conducted to investigate the performance of the proposed ad hoc WSN both over the low data rate IEEE 802.15.4 and the high data rate IEEE 802.11 standards. Simulation results show that, in small-scale networks, ad hoc WSN over 802.15.4 outperforms the WSN where it improves 4-key performance indicators such as throughput, PDR, packet loss, and energy consumption by up to 22.4%, 17.1%, 34.1%, and 43.2%, respectively. Nevertheless, WSN achieves less end-to-end delay; in this study, it introduces by up to 2.0 ms less delay than that of ad hoc WSN. Furthermore, the ad hoc wireless sensor networks work well both over IEEE 802.15.4 and IEEE 802.11 protocols in small-scale networks with low traffic loads. The performance of IEEE 802.15.4 declines for the higher payload size since this standard is dedicated to low rate wireless personal access networks. A deep performance investigation of the IEEE 802.15.4 beaconless-enabled wireless sensor network (BeWSN) in hidden nodes environment has been conducted and followed by an investigation of network overhead on ad hoc networks over IEEE 802.11 protocol. The result of investigation evinces that the performance of beaconless-enabled ad hoc wireless sensor networks deteriorates as indicated by the degradation of throughput and packet reception by up to 72.66 kbps and 35.2%, respectively. In relation to end-to-end delay, however, there is no significant performance deviation caused by hidden nodes appearance. On the other hand, preventing hidden node effect by implementing RTS/CTS mechanism introduces significant overhead on the network that applies low packet size. Therefore, this handshaking method is not suitable for low rate communications protocol such as IEEE 802.15.4 standard. An evaluation study of a 101-node large-scale beaconless-enabled wireless sensor networks over IEEE 802.15.4 protocol has been carried out after the nodes deployment model was arranged. From the experiment, when the number of connection densely increases, then the probability of packet delivery decreases by up to 40.5% for the low payload size and not less than of 44.5% for the upper payload size. Meanwhile, for all sizes of payload applied to the large-scale ad hoc wireless sensor network, it points out an increasing throughput whilst the network handles more connections among sensor nodes. In term of dropped packet, it confirms that a fewer data drops at smaller number of connecting nodes on the network where the protocol outperforms not less than of 34% for low payload size of 30 Bytes. The similar trend obviously happens on packet loss. In addition, the simulation results show that the smaller payload size performs better than the bigger one in term of network latency, where the payload size of 30 Bytes contributes by up to 41.7% less delay compared with the contribution of the payload size of 90 Bytes.
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Book chapters on the topic "Simulator-enabled"

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Nahavandi, S., L. Wei, J. Mullins, M. Fielding, S. Deshpande, M. Watson, S. Korany, et al. "Haptically-Enabled VR-Based Immersive Fire Fighting Training Simulator." In Advances in Intelligent Systems and Computing, 11–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22871-2_2.

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Sharma, Navuday, Maurizio Magarini, and Muhammad Mahtab Alam. "Internet of Drones-Enabled Smart Cities." In IoT Architectures, Models, and Platforms for Smart City Applications, 107–33. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1253-1.ch006.

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Unmanned aerial vehicles (UAVs) are expected to provide data service to users as aerial base stations, as gateways to collect the data from various sensors, and as sensor-mounted aerial platforms deployed in smart cities. The study in this chapter initially starts with the air-to-ground (A2G) channel model. Due to the unavailability of channel parameters for UAVs at low altitudes, measurements were performed using a radio propagation simulator for generalized environments developed using ITU-R parameters. Further, cell coverage analysis is shown with simulation results obtained from the ray tracing. Later, an optimal replacement to UDNs was proposed to support the flash crowds and smart cites known as ultra-dense cloud drone network. This system is advantageous as it offers reduction in total cost of ownership due to its on-demand capability. Further, work is shown on implementing parameters for 5G physical layer with generalized frequency division multiplexing modulation over A2G channel on the UAV network to provide reliable and faster connectivity for ground users and sensors.
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Conference papers on the topic "Simulator-enabled"

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Caraiman, Simona, Alexandru Archip, and Vasile Manta. "A Grid Enabled Quantum Computer Simulator." In 2009 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2009. http://dx.doi.org/10.1109/synasc.2009.57.

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Reed, John, Abdollah Afjeh, John Reed, and Abdollah Afjeh. "A Java-enabled interactive graphical gas turbine propulsion system simulator." In 35th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-233.

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Yaashuwanth, C., and R. Ramesh. "Web-Enabled Framework for Real-Time Scheduler Simulator (A Teaching Tool)." In 2010 Second International Conference on Computer Research and Development. IEEE, 2010. http://dx.doi.org/10.1109/iccrd.2010.181.

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Lister, K., Zhan Gao, and J. P. Desai. "Real-time, haptics-enabled simulator for probing ex vivo liver tissue." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5333410.

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Zhong, Rongrong, Yongxin Zhu, Weiwei Chen, Mingliang Lin, and Weng-Fai Wong. "An Inter-Core Communication Enabled Multi-Core Simulator Based on SimpleScalar." In 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07). IEEE, 2007. http://dx.doi.org/10.1109/ainaw.2007.87.

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Tai, Yonghang, Lei Wei, Hailing Zhou, Jun Peng, Junsheng Shi, Qiong Li, and Saeid Nahavandi. "Development of Haptic-Enabled Virtual Reality Simulator for Video-Assisted Thoracoscopic Right Upper Lobectomy." In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2018. http://dx.doi.org/10.1109/smc.2018.00511.

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Huynh, D. M., A. D. Nguyen, H. N. Nguyen, H. D. Tran, D. A. Ngo, J. Pestana, and A. Q. Nguyen. "Implementation of a HITL-Enabled High Autonomy Drone Architecture on a Photo-Realistic Simulator." In 2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS). IEEE, 2022. http://dx.doi.org/10.1109/iccais56082.2022.9990214.

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Oliva, Alexander Antonio, Fabien Spindler, Paolo Robuffo Giordano, and Francois Chaumette. "FrankaSim: A Dynamic Simulator for the Franka Emika Robot with Visual-Servoing Enabled Capabilities." In 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2022. http://dx.doi.org/10.1109/icarcv57592.2022.10004274.

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Biswas, Shuvra Prokash, Md Kamal Hosain, and Md Waliur Rahman. "Real-time arduino based simulator enabled hardware-in-the-loop electric DC machine drive system." In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC). IEEE, 2017. http://dx.doi.org/10.1109/r10-htc.2017.8289082.

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Ahad, Sugata, Wai Ching Lucas Shiu, Xin Yue Huang, DM Zahin Sajid, Max Jwo Lem Lee, Meiling Su, and Li Ta Hsu. "UnmannedSim: Urban and Multi-Agent Navigation Network-Enabled Drones Simulator for Path Planning and Localization Research." In 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021). Institute of Navigation, 2021. http://dx.doi.org/10.33012/2021.18057.

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Reports on the topic "Simulator-enabled"

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Chen, Chung-Lung, and Gui-Rong Liu. A FSI Enabled Practical Rotorcraft Flow Simulator for Morphing Blade Innovation. Fort Belvoir, VA: Defense Technical Information Center, May 2015. http://dx.doi.org/10.21236/ada623927.

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Ramnath, Rishabh, Neale Kinnear, Sritika Chowdhury, and T. Hyatt. Interacting with Android Auto and Apple CarPlay when driving: The effect on driver performance. TRL, January 2020. http://dx.doi.org/10.58446/sjxj5756.

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This study aimed to assess the impact of interacting with two infotainment systems, Android Auto and Apple CarPlay, on four driver performance measures: reaction time, driving behaviour, eyes-off road and self-reported performance. It also compared the results with other forms of driver impairment studied previously. Twenty regular Android users took part in the Android Auto trial and 20 regular Apple users took part in the Apple CarPlay trial. Each participant completed three 20 minute drives in TRL’s DigiCar simulator: control (no interaction with infotainment system), voice enabled and touch enabled. The route was divided into sections and participants performed music, navigation, texting and calling tasks at specific times during the drive. Compared with the control drive, participants in both trials showed a reduction in average speed, increase in deviation of headway and larger deviation of lane position for most tasks; this effect was greater when using touch features than voice features. Eye gaze measures indicated that participants did not meet the NHTSA criteria for most of the tasks when using touch controls for both systems, but they met the criteria when using voice control. Self-reported data suggested that participants found interacting through touch to be more difficult and distracting than voice. Most critically, reaction time to a stimulus on the road ahead was significantly higher when selecting music through Spotify when using Android Auto and Apple CarPlay. Participants also failed to react more to the stimulus on the road ahead when engaging with either Android Auto or Apple CarPlay compared with a control drive. Comparison with previous driver impairment studies showed that the increase in reaction time when interacting with either system using touch was higher than previously measured forms of impairment, including texting and hand-held calls.
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