This dataset is published to facilitate replication of the tests described in the article "Distributed Newton Method Over Graphs: Can Sharing of Second-order Information Eliminate the Condition Number Dependence?"

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I am a WordPress developer and having 5 years of experience. Right now I am working in a professional WordPress development company . From here you can hire WordPress developers.

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This code is provided here for research purpose(s) only. You are allowed to use this code/data provided that you cite the following paper:

U. Lotrič, R. Pilipović, and P. Bulić, “A Hybrid Radix-4 and Approximate Logarithmic Multiplier for Energy Efficient Image Processing,” Electronics, vol. 10, no. 10, p. 1175, May 2021 [Online]. Available: http://dx.doi.org/10.3390/electronics10101175

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The dataset is contains the dataset and results of 10 genes, 20 genes, 30 genes, 40 genes, 100-300 genes, and DREAM4.

Instructions: 

There have 6 excel files of our dataset and result. In each file it contains dataset and results.

For 10-40 genes, each file has 10 datasets and 10 results.

For 100-300 genes, the file has 5 datasets that is 100-300 genes, 5 results that is 100-300 genes.

For DREAM4, the file has 5 datasets and 5 results of 10 genes, 5 datasets and 5 results of 100 genes.

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Comparison of specific experimental data

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The data package contains 4 folders. The corresponding contents of each folder are as follows:

Fitting code for Ti-Pd-HfO2-Ag-Au device: Test data and fitting code for Ti-Pd-HfO2-Ag-Au device.

Matlab code: Model code that can be used in Matlab.

SPICE-like code: Model schematic and code that can be used in LTspice.

Verilog-a code: Model code that can be used for Hspice and Cadance.

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Dataset used in experiments reported in the paper "Scalable Energy Games Solvers on GPUs" accepted for publication in IEEE-TPDS

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The dataset contains high bandwidth voltage and current measurements of the main inverter of an electric vehicle. They were acquired from a Mercedes-Benz E-Vito on a testing ground in many different Operation Points (OP) listed in the following table:

Instructions: 

The dataset consists of 14 hdf5 files containing the measured data. In addition, there are two python examples on how to handle the data and plot same results, and one readme file.
The hdf5 dataset can be accessed with many different tools like matlab, octave or python. If you want to use the python example, you must place the python-file and the dataset in the same folder. A recent version of python (it was tested with Python 3.9.2) with the following packages is needed: h5py; matplotlib; numpy; random; os; sys and scipy.

Python demo:
There are two python example demos to read and plot the hdf5 datasets included:
The first one reads a single operation point and plots the data in the time and frequency domain. (import_hdf5_plot_single_demo.py)
The second one reads one dataset and calculates the short time Fourier transformation of all operations points in the dataset and plots a spectrogram. (import_hdf5_plot_dataset_demo.py)
The demo is made as an example on how to handle the data and can be used for further analysis.
The datasets can also be accessed via matlab/octave, but therefore I refer to the online support.
If you have any further question about the dataset, please contact the author.

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<p>The dataset comprises 2035 images from 14 different software architectural patterns (100+ images each), viz., Broker, Client Server, Microkernel, Repository, Publisher-Subscriber, Peer-to-Peer, Event Bus, Model View Controller, REST, Layered, Presentation Abstraction Controller, Microservices, and Space-based patterns.</p>

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Instructions for authors submitting to TNS

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