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261 results for “Performance Analysis”
Datasets used in the Paper of "Analysis of leading edge protection application on wind turbine performance through energy and power decomposition approaches"
<p>These are the datasets used in the <em>Wind Energy</em> paper "Analysis of leading edge protection application on wind turbine performance through energy and power decomposition approaches." The paper can be accessed <a href="https://onlinelibrary.wiley.com/doi/10.1002/we.2722">here</a>. The computer code used to produce the results in the paper can be found <a href="../records/6321157">here</a>.</p>
The Effects of Cycle and Treadmill Desks on Work Performance and Cognitive Function in Sedentary Workers: data repository of a review and meta-analysis.
<p>This repository contains additional files related to the review and meta-analysis. The first dataset contains list of search terms. The second dataset contains list od studies included in the meta-analysis. The third dataset contains study evaluation using PEDro scale tool. The fourth dataset contains two additional forrest plots (Effect of cycle and treadmill desks on typing errors and Effect of cycle and treadmill desks on congruent Eriksen Flanker test).</p>
Performance Analysis of Single Board Computer Clusters
<p>This dataset contains the outputs from HPL runs used to measure performance of 16 nodes clusters built using Raspberry Pi 3 Model B, Raspberry Pi 3 Model B+, and Odroid C2. These clusters were constructed using the Pi Stack PCB which is available from https://doi.org/10.5258/SOTON/D0379.</p>
Statistical analysis PAP on deceleration performance
<p>This is the report of the statistical analysis used to investigate the effects of Post-Activation Potentiation on soccer players' deceleration performance.</p>
ClearCausal: Cross Layer Causal Analysis for Automatic Microservice Performance Debugging
<p>Dataset for the paper: <em>ClearCausal: Cross Layer Causal Analysis for Automatic Microservice Performance Debugging.</em></p> <div> </div>
Theoretical analysis and simulations of two-dimensional Fourier transform spectroscopy performed on exciton-polaritons of a quantum-well microcavity system
<p>Dataset of the publication “Theoretical analysis and simulations of two-dimensional Fourier transform spectroscopy performed on exciton-polaritons of a quantum-well microcavity system“, H. Rose, J. Paul, J. K. Wahlstrand, A. Bristow, and T. Meier, Proceedings of the SPIE 11684, 1168414 (2021) ( <a href="https://doi.org/10.1117/12.2576696">https://doi.org/10.1117/12.2576696</a> ). The zip file includes the data on which the plots shown in figure 2 are based.</p>
Dataset for the paper Exploring the Use of Static and Dynamic Analysis to Improve the Performance of the Mining Sandbox Approach for Android Malware Identification
<p><strong>Short Description: </strong>This is the dataset for the paper "Exploring the Use of Static and Dynamic Analysis to Improve the Performance of the Mining Sandbox Approach for Android Malware Identification", accepted for publication in the Journal of Systems and Software. </p> <p><strong>Link to this repository: </strong><a href="https://github.com/droidxp/paper-replication-package">https://github.com/droidxp/paper-replication-package</a></p> <p><strong>Authors of the Paper</strong></p> <ul> <li>Francisco Handrick da Costa</li> <li>Ismael Medeiros</li> <li>Thales Menezes</li> <li>João Victor da Silva</li> <li>Ingrid Lorraine da Silva</li> <li>Rodrigo Bonifácio</li> <li>Krishna Narasimhanb</li> <li>Márcio Ribeiro</li> </ul> <p><strong>Abstract</strong></p> <p>The popularization of the Android platform and the growing number of Android applications (apps) that manage sensitive data turned the Android ecosystem into an attractive target for malicious software. For this reason, researchers and practitioners have investigated new approaches to address Android's security issues, including techniques that leverage dynamic analysis to mine Android sandboxes. The mining sandbox approach consists in running dynamic analysis tools on a benign version of an Android app. This exploratory phase records all calls to sensitive APIs. Later, we can use this information to (a) prevent calls to other sensitive APIs (those not recorded in the exploratory phase) or (b) run the dynamic analysis tools again in a different version of the app. During this second execution of the fuzzing tools, a warning of possible malicious behavior is raised whenever the new version of the app calls a sensitive API not recorded in the exploratory phase.</p> <p>The use of a mining sandbox approach is an effective technique for Android malware analysis, as previous research works revealed. Particularly, existing reports present an accuracy of almost 70% in the identification of malicious behavior using dynamic analysis tools to mine android sandboxes. However, although the use of dynamic analysis for mining Android sandboxes has been investigated before, little is known about the potential benefits of combining static analysis with a mining sandbox approach for identifying malicious behavior. Accordingly, in this paper we present the results of two studies that investigate the impact of using static analysis to complement the performance of existing dynamic analysis tools tailored for mining Android sandboxes, in the task of identifying malicious behavior.</p> <p>In the first study we conduct a non-exact replication of a previous study (hereafter BLL-Study) that compares the performance of test case generation tools for mining Android sandboxes. Differently from the original work, here we isolate the effect of an independent static analysis component (DroidFax) they used to instrument the Android apps in their experiments. This decision was motivated by the fact that DroidFax could have influenced the efficacy of the dynamic analyses tools positively---through the execution of specific static analysis algorithms DroidFax also implements. In our second study, we carried out a new experiment to investigate the efficacy of taint analysis algorithms to complement the mining sandbox approach previously used to identify malicious behavior. To this end, we executed the FlowDroid tool to mine the source-sink flows from benign/malign pairs of Android apps used in previous research work.</p> <p>Our study brings several findings. For instance, the first study reveals that DroidFax alone (static analysis) can detect 43.75% of the malwares in the BLL-Study dataset, contributing substantially in the performance of the dynamic analysis tools in the BLL-Study. The results of the second study show that taint analysis is also practical to complement the mining sandboxes approach, with a performance similar to that reached by dynamic analysis tools.</p> <p> </p>
Data analysis results for: "MoDLE: High-performance stochastic modeling of DNA loop extrusion interactions"
<p>Due to technical issues we are unable to upload the updated version of this dataset on Zenodo.<br> <br> The latest version of this dataset can be found on the NRID research data archive at DOI <a href="https://doi.org/10.11582/2022.00056">10.11582/2022.00056</a>.</p>
Performance analysis of a portable low-cost SDR-based ionosonde
<p>Dataset of raw ionograms with one hour periodicity recorded at the Ukrainian Antarctic Station "Akademik Vernadsky" from January 1, 2021 to December 31, 2021 by SDR-based ionosonde (file name template: YYYYMMDD_HHMM_iono.ion; example: 20210101_0000_iono.ion) and IPS-42 ionosonde (file name template: YYhMMm.ion; example: 00h00m.ion). Each 7z file contains one month of the ionogram records.</p> <p>The ionograms may be visualised/processed by the IonogramViewer2 program that is available on GitHub: https://github.com/Albom/IonogramViewer2</p> <p>IonogramViewer2 version 1.6 could be downloaded from:<br> https://github.com/Albom/IonogramViewer2/archive/refs/tags/v1.6.0.zip (source code)<br> https://github.com/Albom/IonogramViewer2/releases/download/v1.6.0/IonogramViewer2-1.6.zip (standalone version for Windows x64)</p>
An approach using performance models for supporting energy analysis of software systems
<p>Replication package of the paper titled "An approach using performance models for supporting energy analysis of software systems". Usage instructions are contained in the README.md file.</p>
Deliverable D6.2 "TOOL FOR PERFORMANCE ASSESSMENT"- AHP Data analysis Excels Annex 1
<p>This Excel file will introduce the AHP data analysis (Annex 1) in deliverable D6.2 "TOOL FOR PERFORMANCE ASSESSMENT".</p>
Experimental data and analysis of performances of dual-type temperature probes
<p>Experimental data, VBA software, and data analysis resulted from an investigation of the performances of prototypes of dual-type temperature probes, that were used for testing the new concept of dual-type thermometers. Dual-type thermometers enable in-situ determination of thermocouple drift. The basic idea behind the concept is that thermocouple drift can be continuously monitored in situ by placing an additional and different temperature sensor in close proximity. The essential requirement for this additional sensor is that it experiences a drift that is lower than the drift of the monitored thermocouple. A drift of a thermocouple can be determined by an algorithm that monitors, and over time compares, the differences in its temperature readings and the readings of an additional (reference) sensor.</p>
Performance Analysis of LoRa in Indoor Settings: A Data Descriptor
<p>This work is a description of the experiment conducted to understand the reception<br> of LoRa in closed environments, such as a building.<br> The experiment was carried out on 04/05/2023, in the NW1 building of University of<br> Bremen. The data’s primary goal is to provide researchers with the understanding of<br> factors such as distance, obstacles, interference with other wireless devices that<br> dictates LoRa’s performance.</p>
Dataset for Paper "An Event Model for Trace-Based Performance Analysis of MPI Partitioned Point-to-Point Communication"
<p>Test cases, measurement and processing scripts, and measurement data for the referenced paper. </p>
A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft
<p>Openly available supplementary data to accompany paper https://doi.org/10.3390/aerospace10090746. Data set includes geometry, Pointwise (2022.1.2) and Fluent (2022R1) grid files and corrected experimental data for lift, drag and pitching moment at a freestream velocity of 20 m/s and standard sea level conditions for the SSAM-Gen5 model. When using this data, please cite:</p> <p>Giannelis, N.F.; Bykerk, T.; Vio, G.A. A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft. Aerospace 2023, 10, 746.</p>
Scripts, inputs and outputs of Module 1 AHP analysis regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project
<p>All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder. </p> <p>The attached folder contains the following:</p> <p>Module 1_AHP and Pairwise comparison matrix calculation_IP4MaaS II (formulations and calculations of pairwise comparison matrix per each IP4MaaS demo site).</p> <p>The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here. </p>
Scripts, inputs and outputs of Module 2 Regression analysis regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project
<p>All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder. </p> <p>The attached folder contains the following:</p> <p>Module 2_Regression analysis (inputs, scripts, and formulations of regression analysis per each IP4MaaS demo site).</p> <p>The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here. </p>
Dataset for IOMax: Maximizing Out-of-Core I/O Analysis Performance on HPC Systems
<p>I/O analysis is an essential task for improving the performance of scientific applications on high-performance computing (HPC) systems. However, current analysis tools, which often use data drilling techniques (iterative exploration for deeper insights), treat every query independently and do not optimize column data for data-slicing (extracting specific data subsets), resulting in subpar querying performance. In this paper, we designed IOMax, a tool for efficient data drilling analysis on large-scale I/O traces. IOMax utilizes a novel query optimization technique to improve the query performance by 8.6x while reducing the memory footprint required for analysis by 11x. Additionally, it employs data transformation techniques to improve data-slicing performance by up to 11.4x. In conclusion, IOMax optimizes I/O analysis for scientific workflows on the Lassen supercomputer, resulting in up to 7x improvement.</p> <p>This dataset contains optimized data that was used in the associated publication.</p>
Metabolomic Analysis of the Impacts of Hydration Status on Exercise Performance
ClinicalTrials.gov study NCT02486224. IPD Sharing: YES. Countries: 1. Publications: 8.
Temporal Trends of Thrombolysis Treatment in Chinese Acute Ischemic Stroke (AIS) Patients From 2007-2017: Analysis of China National Stroke Registry (CNSR) I, II, and III; CTP-Draft Review Performed;
ClinicalTrials.gov study NCT04290494. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.