This dataset contains the data associated with three test distribution netwroks with 24, 54, and 118 nodes.

Instructions: 

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Test networks for reliability-based distribution studies.

This dataset includes 5 test netwroks with 37, 85, 137, 145, and 230 nodes.

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146 Views

Vibration measurement on SAG mill drive motor for Energy harvesting or predictive maintenance

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516 Views

We introduce a new database of voice recordings with the goal of supporting research on vulnerabilities and protection of voice-controlled systems (VCSs). In contrast to prior efforts, the proposed database contains both genuine voice commands and replayed recordings of such commands, collected in realistic VCSs usage scenarios and using modern voice assistant development kits.

Instructions: 

The corpus consists of three sets: the core, evaluation, and complete set. The complete set contains all the data (i.e., complete set = core set + evaluation set) and allows the user to freely split the training/test set. Core/evaluation sets suggest a default training/test split. For each set, all *.wav files are in the /data directory and the meta information is in meta.csv file. The protocol is described in the readme.txt. A PyTorch data loader script is provided as an example of how to use the data. A python resample script is provided for resampling the dataset into the desired sample rate.

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559 Views

This dataset accompanies the article "Palisade: A Framework for Anomaly Detection in Embedded Systems."  It contains traces, programs, and specifications used in the case studies from the paper.

Instructions: 

Case Study 1: Autonomous Vehicle - Comparison between Siddhi and Palisade nfer processor

  • cs1_gear_flip_flop_data.csv - the data used in the Gear Flip-Flop anomaly study and the comparison with Siddhi
  • cs1_comparison.nfer - the nfer specification used in the comparison with Siddhi
  • cs1_comparison.siddhi - the siddhi specification used in the comparison with Siddhi

 

Case Study 2: ADAS-on-a-treadmill - Comparison between Beep Beep 3 and Palisade rangeCheck and lossDetect processors

  • cs2_platoon_dead_spot_data.csv - the data used in the Platoon Dead-Spot anomaly study and the comparison with Beep Beep 3
  • cs2_platoon_no_anomaly_data.csv - data used for training in the Platoon Dead-Spot anomaly study
  • cs2_platoon_range_model.json - trained model used by the rangeCheck processor
  • RangeCheck.java - Beep Beep 3 program to check both range and loss
  • BenchSink.java - Beep Beep 3 program to print events
  • BenchPublisher.java - Beep Beep 3 program to read from a file and publish events to the RangeCheck program
  • BenchEvent.java - Custom Beep Beep 3 event class used in the comparison

 

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173 Views

Description of the proposed method is presented with the support of experimental videos.

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350 Views

The aircraft fuel distribution system has two primary functions: storing fuel and distributing fuel to the engines. These functions are provided in refuelling and consumption phases, respectively. During refuelling, the fuel is first loaded in the Central Reservation Tank and then distributed to the Front and Rear Tanks. In the consumption phase, the two engines receive an adequate level of fuel from the appropriate tanks. For instance, the Port Engine (PE) will receive fuel from Front Tank and the Starboard Engine (SE) will receive fuel from Rear Tank.

Instructions: 

You can easily read the CSV files and apply your method.The dataset has five parts, one normal and four abnormal scenarios.

 

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386 Views

Data for 24-node, 54-node, 86-node, and 138-node test networks for reliability-oriented distribution expansion planning applications; and the results for 24-node and 54-node systems.

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265 Views

This file contains Python code to extract the single-diode model parameters from the Photovoltaic IV-curve. 

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213 Views

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