Double-identity fingerprint is a fake fingerprint created by aligning two fingerprints for maximum ridge similarity and then joining them along an estimated cutline such that relevant features of both fingerprints

are present on either sides of the cutline. The fake fingerprint containing the features of the criminal and his innocuous accomplice can be enrolled with an electronic machine readable travel document and later used to cross the automated

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This dataset contains the images used in the paper "Fine-tuning a pre-trained Convolutional Neural Network Model to translate American Sign Language in Real-time". M. E. Morocho Cayamcela and W. Lim, "Fine-tuning a pre-trained Convolutional Neural Network Model to translate American Sign Language in Real-time," 2019 International Conference on Computing, Networking and Communications (ICNC), Honolulu, HI, USA, 2019, pp. 100-104.

Instructions: 

The code is written for MATLAB. We used transfer learning using AlexNet and GoogLeNet as convolutional neural network (CNN) backbones.

In MATLAB, replace the directory path with yours. If you want to recognize other classes, just add the images from different classes on labeled folders.

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The dataset contains internal faults in power transformer and phase angle regulators (PAR) in a 5-bus interconnected system. It also has 6 other power system transients which include magnetising inrush, sympathetic inrush, external faults with CT saturation, capacitor switching, non-linear load switching, and ferroresonance. There are 88128 internal fault files and 12780 files of other transient disturbances. The faults and transients are simulated in PSCAD/EMTDC and the output files are in text format.

Instructions: 

Detailed description of all data files is provided in the *Dataset_Readme.pdf* file along with the dataset.

Please cite:

[1] Pallav K. Bera, Can Isik,  Vajendra Kumar, "Transients and Faults in Power Transformers and Phase Angle Regulators”, IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/1d1w-q940

 

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Visual representations are always better than narrations in accordance to children, for better understanding. This is quite advantageous in learning school lessons and it eventually helps in engaging the children and enhancing their imaginative skills.

Instructions: 

File would need to be unzipped for access

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Nowadays technology is being used worldwide to cure deadly diseases. Hepatitis is rapidly spreading in Asia over time. Every 12th Pakistani is suffering from a specific form of hepatitis. In this study, we have explored design and technology solutions for assisting patients of hepatitis and to create awareness among the general public. We have suggested an android app, LiveDliver and a paper-based diary, HepOrganizer to help the patients manage their disease and the general public to acquire awareness.

Instructions: 

File would need to be unzipped for access

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106 Views

Visual representations are always better than narrations in accordance to children, for better understanding. This is quite advantageous in learning school lessons and it eventually helps in engaging the children and enhancing their imaginative skills. Using natural language processing techniques and along the computer graphics it is possible to bridge the gap between these two individual fields, it will not only eliminate the existing manual labor involved instead it can also give rise to efficient and effective system frameworks that can form a foundation for complex applications.

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93 Views

A Traffic Light Controller PETRI_NET (Finite State Machine) Implementation.

An implementation of FSM approach can be followed in systems whose tasks constitute a well-structured list so all states can be easily enumerated. A Traffic light controller represents a relatively complex control function

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The analysis is based on two kinds of measured dataset. In both cases, uplink data are measured (A-UL0) i.e. the transmitters are UBSs and the receiver is UBSC and FDD is used. The first dataset has been collected from August 17, 2018, to August 20, 2018. The experiment has been carried over two separate distances, i.e., 1 km, and 3 km between the transmitter (Tx) and receiver (Rx) in Mohang Port (Taean-gun).  

 

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The CLAS (Cognitive Load, Affect and Stress) dataset was conceived as a freelyaccessible repository which is purposely developed to support research on the automated assessment of certain states of mind and the emotional condition of a person.

Instructions: 

1.      Database structure (CLAS.zip)

The database is organized in 4 folders:

·         Answers – answers of the questions in the interactive tasks (Math problems, Logic problems and the Stroop test) for each person.

·         Block_details – metadata for each block (1 block per task) for every participant.

·         Data – raw signal recordings for the individual participants.

·         Documentation – accompanying documents.

 

When using the CLAS dataset, please cite:

     Markova, V., Ganchev, T., Kalinkov, K. (2019). CLAS: A Database for Cognitive Load, Affect and Stress Recognition, in Proceedings of the International Conference on Biomedical Innovations and Applications, (BIA-2019), art. no. 8967457,  DOI: 10.1109/BIA48344.2019.8967457. Available on-line: https://ieeexplore.ieee.org/document/8967457

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1715 Views

Conveyor belts are the most widespread means of transportation for large quantities of materials in the mining sector. This dataset contains 388 images of structures with and without dirt buildup.

One can use this dataset for experimentation on classifying the dirt buildup.

Instructions: 

The data are separated into folders that specify each class of the dataset: Clean and Dirty.

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