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This dataset describes the measured or calculated values of most components shown in the Dataset Image. These components were used to accurately model a Pierce oscillator circuit for RT operation. Each bond wire (W1, W2, etc.) is represented by a series resistance and inductance placed parallel with a capacitor, all calculated based upon the length of the wire. Each inconel and standard coaxial cable (CI1-2 and CO1-2) is represented with the same three components.
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This dataset includes the system data and equivalent Distributed Energy Resource (DER) allocations for three test cases: a 10-bus system, the IEEE 69-bus radial test feeder, and an 873-bus radial test feeder. The IEEE 69-bus system data is based on the work of Baran and Wu ("Optimal capacitor placement on radial distribution systems," IEEE Trans. Power Deliv., vol. 4, no. 1, pp. 725-734, 1989).
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The data set is based on the elevation mapping of HI-TARGET's iHand55 device and the processing of existing pipeline information.The data is mainly used for pipeline drainage or urban drainage planning and design test.This data is the drainage system data of a city, including drainage points and drainage pipeline information.
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This dataset presents daily meteorological data collected from 2004 to 2024 by BMKG (Meteorology, Climatology, and Geophysical Agency) at the Sleman Station, Yogyakarta, Indonesia. The data includes several key weather parameters: minimum, maximum, and average temperatures, relative humidity, rainfall, sunshine duration, wind speed, and wind direction. This comprehensive dataset serves as a valuable resource for research on climate variability, environmental changes, and weather forecasting over a period of 20 years.
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Developing robust benchmarking methods is crucial for evaluating the standing stability of
bipedal systems, including humanoid robots and exoskeletons. This paper presents a standardized benchmarking
procedure based on the Linear Inverted Pendulum Model and the Capture Point concept to normalize
the maximum angular momentum before falling. Normalizing these variables establishes absolute and relative
benchmarks achieving comprehensive comparisons across different bipedal systems. Simulations were
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The fifth generation (5G) wireless communications system offers faster data rates, lower latency, and higher number of interconnecting devices. Various 5G channel models were developed to study its stochastic characteristics prior to its implementation. These channel models generate multipath components that are grouped into clusters when they have similar properties in delay and angles. The multipaths and multipath clusters are used as datasets in multipath clustering which is used to examine the propagation properties of the 5G system. However, datasets are prone to outliers.
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This is the supplementary document for the review paper titled “Comprehensive and Data-Driven Literature Review of Supernumerary Robotic Limbs,” which presents a comprehensive and data-driven review that offers a quantitative analysis of Supernumerary Robotic Limbs (SRLs), covering application areas, structural designs, control strategies, embodiments, and their interconnections.
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This dataset contains cryogenic Id-Vd and Id-Vg data for N- and P-MOSFET (W/L = 10 μm/1μm) from 300 K to 4 K. These data contain the I-V data corresponding to different Vds, including the data of linear region and saturation region. A Keysight B1500A semiconductor analyzer attached to a pulse tube refrigerator was used to measure these data. The transconductance, threshold voltage, subthreshold swing, and other parameters of Cryo-CMOS can be obtained by processing these data.
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Electric power systems are comprised of cyber and physical components that are crucial to grid resiliency. Data from both components should be collected when modeling power systems: data from communication networks and intrusion detection systems; physical telemetry from sensors and field devices.
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To test the effectiveness of different ambiguity models in representing real decision-making under ambiguity, we ran an incentivized experiment of choice under ambiguity. The study involved 310 participants recruited using the online international labor market, Amazon Mechanical Turk (MTurk), to participate in an experimental study implemented on the survey platform, Qualtrics. Each of the 310 subjects made 150 preference choices between two options involving variations of the four ambiguity problems with varying levels of ambiguity and risk.
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