648 Works

Sampling Clustering

Tarn Yeong Ching
!!! NOTE: This capsule is a work-in-progress. Do NOT cite it now. Please contact the author at i@ctarn.io if you have any question.

Applications of Complex Network Analysis in Electric Power Systems

Mahmoud Saleh
This is the code utilizing complex network analysis used in the following papers: - Optimal microgrids placement in electric distribution systems using complex network framework https://ieeexplore.ieee.org/document/8191215/ -Applications of Complex Network Analysis in Electric Power Systems http://www.mdpi.com/1996-1073/11/6/1381/htm (Full paper download as a PDF) Abstract: This paper provides a review of the research conducted on complex network analysis (CNA) in electric power systems. Moreover, a new approach is presented to find optimal locations for microgrids (MGs) in...

Generalized Rational Variable Projection with Application in ECG Compression

Péter Kovács, Sándor Fridli & Ferenc Schipp
We develop an adaptive transform-domain technique based on rational function systems. Although these systems have been widely and successfully used in system and control theories, they have been applied in signal processing only recently. The construction of the proposed method is discussed in the framework of a general mathematical model called variable projection. First we generalize this method by adding dimension type free parameters. Then we deal with the optimization problem of the free parameters....

Counterexamples on the monotonicity of delay optimal transmission policies in energy harvesting communication systems

Borna Sayedana & Aditya Mahajan
Two counterexamples are presented that show that in a delay-optimal design of a communication system with energy harvesting transmitter, the optimal transmission strategy need not be monotone in the queue length or monotone in the battery state.

Perceptual Information Loss due to Impaired Speech Production

Afsaneh Asaei & Milos Cernak
Phonological classes define articulatory-free and articulatory-bound phone attributes. Deep neural network is used to estimate the probability of phonological classes from the speech signal. In theory, a unique combination of phone attributes form a phoneme identity. Probabilistic inference of phonological classes thus enables estimation of their compositional phoneme probabilities. A novel information theoretic framework is devised to quantify the information conveyed by each phone attribute, and assess the speech production quality for perception of phonemes....

mimics1.5a: Michigan Microwave Scattering Model

Kyle McDonald, Kamal Sarabandi & Leland Pierce
MIMICS is meant to simulate the radar backscatter from a forested region at frequencies in the P, L, and C bands. There are many parameters that describe the soil, the trunks, the branches and the foliage. The code using vector radiative transfer with PDFs of the canopy constituents to produce estimates of the co- and cross-polarized backscattered powers. See the file "mimics.pdf" in the code directory for a more complete description.

LoRa interference simulator

Daniele Croce, Michele Gucciardo, Stefano Mangione, Giuseppe Santaromita & Ilenia Tinnirello
This is a simulation tool for testing the performance of a LoRa link in case of collision between LoRa packets modulated with different spreading factors. You can use it for obtaining the results presented in Table 1 of our paper.

Improving contig binning of metagenomic data using d2S oligonucleotide frequency dissimilarity

Ying Wang, Kun Wang, Yang Young Lu & Fengzhu Sun
d2SBin is easy-to-use contig-binning improving tool, which adjusted the contigs among bins based on the output of any existing binning tools. The tool is taxonomy-free only on the k-tuples for single metagenomic sample. d2SBin is based on the mechanism that relative sequence compositions are similar across different regions of the same genome, but differ between genomes. Current tools generally used the normalized frequency of k-tuple directly, which actually is the absolute instead of relative sequence...

Machine Learning Techniques for Detecting Identifying Linguistic Patterns in the News Media

A Samuel Pottinger
Code and reference configurations used in research for https://whowrotethis.com and "Machine Learning Techniques for Detecting Identifying Linguistic Patterns in the News Media" by A. Samuel Pottinger. Released under the MIT license. For data, please see https://whowrotethis.com.

Frequency Estimation of a real sinusoid by three new interpolators

Guo Bai
This code is for the paper "Frequency Estimation of a real sinusoid by three new interpolators"

Competition EEG

Nicole S. Rafidi, Justin C. Hulbert, Paula Pacheco & Kenneth A. Norman
Code for reproducing the main analysis of: Reductions in Retrieval Competition Predict the Benefit of Repeated Testing Nicole S. Rafidi, Justin C. Hulbert, Paula Pacheco, and Kenneth A. Norman Reproduces Figure 7 and with modifications can reproduce Figures S2-4

Reanalysis of Gold et al. (2019), Figures 4A and 4B

Peter M. C. Harrison
This project provides a reproducible reanalysis of Figures 4A and 4B from Gold et al.'s (2019) paper, "Musical reward prediction errors engage the nucleus accumbens and motivate learning". The original paper reports a reinforcement-learning experiment where reward prediction errors were elicited by the consonance or dissonance of musical stimuli. In Figures 4A and 4B of the original paper, the authors correlate activity in the right nucleus accumbens to variation in participants' learning and scores in...

Cardiac pulsatility mapping and vessel type identification using laser speckle contrast imaging

Dmitry Postnov, Sefik Evren Erdener, Kivilcim Kilic & David A. Boas
Exemplary code and data for figures generation (figures may not fully correspond to the published version). Additional code details: https://github.com/BUNPC/laserSpeckleImaging (runPulsatilityBasedIdentification.m)

Frangi-Net on High-Resolution Fundus (HRF) image database

Weilin Fu
This capsule holds the code for Frangi-Net experiment on High-Resolution Fundus (HRF) Image Database. We reformulate the conventional multi-scale 2-D Frangi vesselness measure into a pre-weighted neural network ("Frangi-Net"). Without training, Frangi-Net is equivalent to the original Frangi filter. With further training, the segmentation performance of the network is increased.

A Distributed BLAST with a Data-Parallel Computational Model

Majid Hajibaba, Mohsen Sharifi & Saeid Gorgin
With the advent of high-throughput next-generation sequencing (NGS) technologies, the amount of available sequencing data is growing exponentially. Hence, processing and storing such huge volume of data has become a major challenge for modern genomic research. In order to alleviate these issues, in this paper we present a computational model for BLAST that is data-parallel. The suggested model has a master-worker parallel programming paradigm. The master splits the database according to the number of available...

INSTRON compression test analysis

Joseph Porter
This script processes force data collected using an INTRON compression test machine, analysing the curing rate of homemade silicone compound in moisture controlled conditions. The code extracts .csv files, separated individual trials, visualises both conditions (as in profile picture) and generates a table of peak force achieved for each trial. trials were conducted at 15 minute intervals from when the compound was first mixed.

MATLAB Code to Extract XRF signal from Measured X-ray Spectra

Md Foiez Ahmed & Selcuk Yasar
This MATLAB code extracts x-ray fluorescence (XRF) signal from measured x-ray spectra incorporating detector response function. In its current version, the signal extraction is specific to Gold XRF and Cadmium Telluride (CdTe) detectors.

Acclimatization of massive reef-building corals to consecutive heatwaves

Thomas DeCarlo
Data and code to reproduce statistical analyses and create figures for "Acclimatization of massive reef-building corals to consecutive heatwaves" published in Proceedings of the Royal Society B. The code analyzes "stress bands" that were observed within the skeletons of long-lived Porites corals collected from the Great Barrier Reef and Coral Sea. Tests performed within the code include analysis of stress band occurrence vs. time, stress band occurrence vs. heat stress during the 21st century, changes...

Distributed Max-Tree

Markus Goetz, Gabriele Cavallaro, Thierry Geraud, Matthias Book & Morris Riedel
A highly scalable and parallel implementation of the max-tree component thresholding algorithms. The code is a MPI-thread (distributed- and shared-memory) hybrid parallelization. Data is ingested and stored in the HDF5 format. Dependencies: C++-14-capable compiler, cmake, MPI 2.0+, HDF5 (parallel)

Verbal Detection Error Tradeoff (DET)

Andreas Nautsch, Didier Meuwly, Daniel Ramos, Jonas Lindh & Christoph Busch
The code is our recommendation to security-oriented applications for visualizing error-tradeoff alongside discrimination risk performance within DET plots, assuming optimal calibration. This software is under h_da license, i.e. please reference our work - besides that this code is free, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. The code is based on the sidekit implementation of the bosaris toolkit SIDEKIT: http://www-lium.univ-lemans.fr/sidekit BOSARIS: https://sites.google.com/site/bosaristoolkit For LaTeX support,...

Sparse Wavenumber Analysis

Joel B. Harley
In this script, we show an example of applying sparse wavenumber analysis (SWA) to simulation data corrupted by multipath interference. This learns the dispersion curves (i.e., the frequency-wavenumber representation) of wave data. The variable 'xm' contains the multipath "measured" simulation data. The multipath data is used as the input to sparse wavenumber analysis (SWA). The variable 'xc' contains the ideal (no multipath) simulation data. This data is used to evaluate our sparse wavenumber denoising results...

Enhanced PUMA for direction-of-arrival estimation and its performance analysis

Cheng Qian
Direction-of-arrival (DOA) estimation is a problem of significance in many applications. In practice, due to the occurrence of coherent signals and/or when the number of available snapshots is small, it is a challenge to find DOAs accurately. This problem is revisited here through a new enhanced principal-singular-vector utilization for modal analysis (EPUMA) DOA estimation approach, which improves the threshold performance by first generating ($P+K$) DOA candidates for $K$ sources where $P\geq K$, and then judiciously...

MATLAB Code and Data for: Locally Weighted Ensemble Clustering

Dong Huang, Chang-Dong Wang & Jian-Huang Lai
In this package, we provide the Matlab source code and experimental data for the ensemble clustering algorithms in our IEEE TCYB paper. If you find the code and data useful for your research, please cite the paper below. Dong Huang, Chang-Dong Wang, Jian-Huang Lai. Locally Weighted Ensemble Clustering. IEEE Transactions on Cybernetics, accepted, 2017. DOI: 10.1109/TCYB.2017.2702343

Analytical approach to transforming filter design for sound field recording and reproduction using circular arrays with a spherical baffle

Shoichi Koyama, Ken'ichi Furuya, Keigo Wakayama, Suehiro Shimauchi & Hiroshi Saruwatari
A sound field recording and reproduction method using circular arrays of microphones and loudspeakers with a spherical baffle is proposed. The spherical baffle is an acoustically rigid object on which the microphone array is mounted. The driving signals of the loudspeakers must be obtained from the signals received by the microphones. A transform filter for this signal conversion is analytically derived, which is referred to as the wave field reconstruction filter. The proposed method using...

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