*.csv ; *.xlsx
Nowadays, decentralized organization has become the emerging characteristic for AC-DC hybrid distribution systems (DS) facilitated by modern power electronic and information & communication techniques. This urges the DS to drop the centralized power supplying mode. In substitution, the DS is divided and operated as several self-adequacy subnetworks. In this paper, a two-stage Wasserstein distributionally robust optimization (WDRO) framework is proposed to provide a dynamic regionalization strategy for unbalanced AC-DC hybrid DSs.
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287 Views
This dataset records the data required for the paper "Enhancing Stateful Processing in Programmable Data Planes: Model and Improved Architecture", comprising five .xlsx files, corresponding to Figures 3, 7, 19, 20, and 21 in the paper. Each data file includes notes that explain the meaning of the data, the headers of the rows and columns, and the units.
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35 Views
The dataset presents user evaluations for itinerary recommendations generated with three algorithms, PP, PP+TS and PP+TP.
Users evaluated recommendations according to five properties:
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122 Views
KPI prediction, which is categorized under time series data modeling, serves as a crucial area of investigation within the realm of complex industrial processes. This field focuses on forecasting key performance indicators that are pivotal for assessing the operational efficiency and productivity of industries. By leveraging historical data trends, KPI prediction aids in optimizing process controls and decision-making strategies, thus enhancing overall performance and competitive edge.
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280 Views
To access this dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/doi/10.5281/zenodo.11711229
Please cite the following paper when using this dataset:
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866 Views
This dataset emerges from an educational experiment designed to evaluate the effectiveness of a Blockly-based tool in teaching Solidity, the predominant language for the creation of smart contracts on the Ethereum blockchain. Students from a Master's degree in Information Systems Engineering participated and used this tool with the aim of mitigating the learning curve of Solidity. The dataset includes metrics on student satisfaction with using the tool.
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131 Views
This survey aims to investigate various aspects of employment experiences and career development among individuals across different demographics.
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440 Views
This dataset abstract presents findings from a comprehensive survey conducted to investigate the impact of social media on high school students in Bangladesh. With the pervasive influence of social media platforms in contemporary society, particularly among the younger demographic, understanding its effects on adolescent behavior, mental health, academic performance, and social interactions is of paramount importance.
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437 Views
In the data set acquisition phase, the system will automatically record the following data: frontal video recording: the frame rate of the video is 10Hz per second, and the video contains the patient's movement, posture and facial information; hemodynamic data: the acquisition frequency is 10Hz per second, covering the area of the prefrontal lobe of the brain, and including the hemodynamic information of 22 channels; kinematic data: the acquisition frequency is 10Hz per second, and including the hand velocity, shoulder angular velocity, elbow angular velocity and sitting posture information
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417 Views
In situations when the precise position of a machine is unknown, localization becomes crucial. It is crucial to identify and ascertain the machine's position. This research focuses on improving the position prediction accuracy over long-range networks using a unique machine learning-based technique. In order to increase the prediction accuracy of the reference point position on the data collected using the fingerprinting approach using LoRa technology, this study suggested an ML-based algorithm.
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645 Views