*.csv ; *.xlsx
This dataset presents the capacity fade data for eight Lithium Titanate Oxide (LTO) battery cells over progressive charge-discharge cycles. The measurements, recorded at intervals of 250 cycles up to 3500 cycles, track the aging effects on battery capacity over time. The aging procedure includes a rest period of 10 minutes between charging and discharging cycles. Each charging and discharging process was conducted with a constant current of 1 ampere (A). The maximum charge voltage was set to 2.75 volts (V), while the minimum discharge voltage was set at 1.30 V.
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182 Views
To download this dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/records/13896353
Please cite the following paper when using this dataset:
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616 Views
There is growing widespread adoption of augmented reality in tech-driven industries and sectors of society, such as medicine, gaming, flight simulation, education, interior design and modelling, entertainment, construction, tourism, repair and maintenance, public safety, agriculture, and quantum computing. However, ensuring smooth and intuitive interactions with augmented objects is challenging, requiring practical performance evaluation and optimisation models to assess and improve users' experiences as they engage with AR-enhanced devices or systems.
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88 Views
This dataset provides a comprehensive list of articles used for the review and statistical analysis presented in the article titled 'Applications and Advancements of Spaceborne InSAR in Landslide Monitoring and Susceptibility Mapping: A Systematic Review.' The selection of articles was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) workflow.
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42 Views
The purpose of this study is to conduct a bibliometric analysis to investigate research trends, collaboration networks, and thematic evaluations of publications on the topic of ergonomic equipment for the elderly. It employs a systematic literature review using the PRISMA method to examine research trends, publication productivity, and citation impact in the selected topic. The analysis reveals a significant surge in research interest over the past decade (2013-2023), with substantial contributions from various academic journals in Scopus.
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40 Views
This dataset contains gait analysis data from 120 healthy individuals, aimed at assessing and quantifying overall gait quality through a novel gait index. Key gait parameters include walking speed, maximum knee flexion angle, stride length, and stance-swing phase ratio. Additionally, demographic information such as gender, age, height, weight, and BMI is provided for each subject. These parameters were systematically selected for their significance in indicating gait mechanics and deviations from normal gait patterns.
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533 Views
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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276 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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32 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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113 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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224 Views