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This dataset contains the test instances used in the numerical experiment section of the paper "Scheduling Unrelated Parallel Batch Processing Machines Under Time-of-Use Electricity Prices".
Folder "time slot length = 30 mins" and "time slot length = 1 min" contains the test instances with the two different time slot lengths described in the paper.
In each folder, there are five subfolders named "TestInstance1", "TestInstance2",..., and "TestInstance5", which correspond to the five instances we generated for each parameter combination.
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This survey dataset delves into the diverse experiences and perspectives of individuals, focusing on key aspects of their educational journey and subsequent career choices. Comprising more than 60 questions or attributes,respondents were asked to share insights into their personal background, educational history, university preferences, and current professional status. The questionnaire covers a range of topics, including high school experiences, university decision-making criteria, major selection influences, and post-graduation outcomes.
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For this experiment, data were collected from December 1, 2022 to January 15, 2023 across all Starlink satellites that were in the main operational shell of approximately 53 deg. inclination and 550 km altitude. In total, data were collected from the two CMOS Image Sensors (CIS) onboard 2,914 Starlink satellites for a total of 5,828 CIS. Data were filtered to exclude satellites with CIS faults causing out-of-family measurements during the time period. An algorithm to detect bright spots was developed for the CIS and data were stored on-board each respective Starlink satellite.
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The Internet Graphs (IGraphs) dataset is a substantial collection of real intra-AS (Autonomous System) graphs sourced from the Internet Topology Data Kit (ITDK) project. Comprising a total of 90,326 graphs, each ranging from 12 to 250 nodes, this dataset provides a diverse and extensive resource for the exploration and analysis of network structures within autonomous systems.
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This paper presents a method for effectively characterizing the dielectric permittivity of nematic liquid crystals across a broad frequency range. These materials show significant potential for reconfigurable devices operating in microwave and millimeter-wave frequencies. To achieve this goal, an additive manufacturing technique is used to create a microstrip line that can be filled with liquid that acts as its substrate. The liquid crystal is then biased to modulate its permittivity.
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The precise prediction of hysteresis characteristics in nanocrystalline and amorphous strips is crucial for analyzing the electromagnetic properties of high-frequency transformers. However, existing hysteresis prediction methods suffer from high cost, time consumption, and inaccuracy, especially for those under high frequency and non-sinusoidal excitation.
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MATLAB design codes and COMSOL Multiphysics simulation files to accompany Near-Perfect Space-Wave to Surface-Wave Coupler Enabled Conformal Space Wave Transporting Metasurfaces submitted to the IEEE Transactions on Antennas and Propagation. The abstract from that paper follows: A technique for the design of conformal metasurfaces with two spatially disconnected space wave ports connected by a surface wave is presented.
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This work employs a new approach to analyze coupled-resonator circuits to design and manufacture a fully metallic dual polarization frequency selective surface (FSS). The proposed filtering structure is composed of a series of unit cells with resonators fundamentally coupled along the z-direction and then repeated periodically in the xy-plane. The fully metallic cascaded unit cell is rigorously analyzed within an infinite periodic environment as a coupled-resonator electromagnetic (EM) circuit.
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Mobility VR Gaming: A Dataset of User Movements
This dataset unveils the dynamic movements of VR gamers, capturing the lateral and angular shifts of the VR headset-mounted device (HMD) during immersive gaming sessions. Collected from 40 participants, the data provides a comprehensive understanding of user mobility patterns in VR environments. This valuable resource empowers researchers to refine VR gaming experiences, enhancing immersion and comfort for users.
If you use this dataset in a scientific publication, we would appreciate references to the following paper:
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