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22 results for “Reverse Engineering,”
1964 flamenca negra guitar from Faustino Conde - documentation and reverse engineered construction plans
<p>This data set documents a specific guitar made by Faustino Conde in Madrid in 1964.<br>(Comment: Felipe Conde identified the handwriting of Mariano Conde in the "Conde" signature on the label inside, the signature of his father. This does not necessarily mean that the guitar was built by Mariano, since experts believe, that it was the brother Faustino who built these kind of special guitars, as it has also been the case for the flamenca negra guitars).</p> <p>The guitar is a so-called flamenca negra, a flamenco guitar with rosewood used for rib and back plate.<br>(Errata: the guitar was sold as a flamenca negra, and experts in Granada also believed it is a flamenca negra. However, Felipe Conde now inspected the guitar and states that the instrument has been built as a classical guitar with only some changes in the setup that might lead to other conclusions. It is not clear whether this setup is original from Conde or whether the guitar has been changed in an aftermath.)</p> <p>The guitar has the exceptional character of showing four main resonances between the Helmholtz resonance (A0) and the first air mode (A1), while other guitars usually have one or two resonances in the same range.<br>This is observable across a wider range of old and contemporary guitars, documented in an archive.<br>Mores, R. 2021a. ‘Archive for the acoustical documentation of classical Spanish guitars, flamenco guitars and romantic guitars from private and public collections – bridge mobility’. <em>Zenodo</em>,<br><a href="https://doi.org/10.5281/zenodo.4604577" target="_blank" rel="noopener">doi: 10.5281/zenodo.4604577</a>.<br>This observation triggered a research project to understand this.</p> <p>The resulting analytical model reveals the delicate tuning of related parameters in the construction, published in the Journal of the Acoustical Society of America, JASA. <br>Mores, R. 2021. ‘Sound tuning in asymmetrically braced guitars’. <em>J. Acoust. Soc. Am.</em> 149(2), 1041–1057.<br><a href="https://doi.org/10.1121/10.0003378" target="_blank" rel="noopener">https://doi.org/10.1121/10.0003378</a>.<br>This model explains how to design multiple resonances into a guitar so that the fundamental tone is suported for every semitone played. The model matches with findings not only of this Conde guitar but explains tuning issues in general. There should be a translation into Spanish in due time.</p> <p>A brief talk (English) explains the main issues and demonstrates the congruence between the analysis and an mechanical model, build for demonstration purposes.<br>Mores, R. 2020a. ‘Tuning signature modes in guitars - a lesson by Faustino Conde’. <em>Zenodo</em>, <br><a href="https://doi.org/10.5281/zenodo.4624826" target="_blank" rel="noopener">doi: 10.5281/zenodo.4624826</a>.</p> <p>Supporting material (coded in MATLAB) allows researchers and guitar makers to explore the issue.<br>Mores, R. 2020. ‘Tuning asymmetrically braced guitars - analytical models and MATLAB code’, <em>Zenodo</em>, <br><a href="https://doi.org/10.5281/zenodo.4010596" target="_blank" rel="noopener">doi: 10.5281/zenodo.4010596</a>.</p> <p>This publication documents the construction plans of the Faustino Conde guitar.<br>Guitar makers asked for these plans to understand the principles of parameter tuning based on the construction. The documentation comprises:<br>1. construction plans (high resolution)<br>2. photos of the total instrument<br>3. photos of details inside </p> <p>***</p> <p>Comments on the guitar for those who consider to build this guitar model.<br>1. The guitar is original. Also the top and the mechanics. Experts in Granada, while inspecting the varnish, believed that the top plate might have been modified. However, Felipe Conde (*1959) states that the guitar is original. This also includes the fretboard. The fretboard height is declining towards the body and this caused questions by Granadian guitar makers. However, in the workshop of the Conde family several inspected guitars from the 50s through the 70s revealed a likewise decline of the height.<br>2. Felipe Conde inspected the guitar. He believes that the guitar is an experimental guitar and that it has been built as a customized guitar for a highly professional musician. But there are no records on this.<br>3. The setup of the guitar has been modified. The height of the bridge is lowered where the bone sits. This can be inspected in the construction plan. It is not known whether this was done by Conde himself or by someone else in an aftermath. Experts in Granada but also members of the Conde family state that the present setup is perfect.</p>
Dataset and Replication Package for the View-Based Retriever Approach To Reverse Engineering Software Architecture Models
<div> <div><span>Dataset and replication package for the view-based Retriever approach to reverse engineering software architecture models. Each Dataset project is structured as follows:</span></div> <ul> <li><span>The .ruleengine.yml file contains the configuration for running the Retriever approach.</span> <ul> <li><span>The repository value is the ID of a GitHub repository.</span></li> <li><span>The current_version value is the latest version of the retriever approach used to build the architectural models.</span></li> <li><span>The rules values are the rules used to build the architectural models.</span></li> </ul> </li> <li><span>The model_re folder contains the architectural model of the system automatically generated by the Retriever approach.</span> <ul> <li><span>The pcm folder contains the Palladio Component Model (PCM) of the system.</span></li> <li><span>The uml folder contains the PlantUML model.</span></li> </ul> </li> <li><span>The model_gs folder contains our manual gold standards for the system.</span></li> </ul> <div><span>The easiest way to use our approach is to use the CLI application with the given parameters: ./eclipse -i /path/to/input/directory -o /path/to/output/directory -r supported_rules</span></div> </div>
Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs
<p>This dataset and pre-trained models are released as a companion to our OOPSLA '20 publication: "Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs":</p> <ol> <li>The dataset file (<a href="https://zenodo.org/api/files/0e98c909-50b4-43e3-8ab2-bb9673eed786/nero_dataset_binaries.tar.gz?versionId=b943752a-e89e-43c1-b32f-19d4a7420e00">nero_dataset_binaries.tar.gz</a>) is composed from packages of binary executables created by compiling several GNU source-code packages. We used these executables to evaluate our approach as implemented in our prototype "Nero" and compare it to other approaches. All executables contain debug information which serves as the ground truth for the procedure name predictions. The packages are split into three sets: training, validation and test. <ol> <li>The executable file name structure is: "<compiler>-<compiler version>__O<Optimization level(u for default)>__<Package name>[-<optional package version>]__<Executable name>". For example "gcc-5__Ou__cssc__sccs".</li> </ol> </li> <li>The procedure representation file (<a href="https://zenodo.org/api/files/0e98c909-50b4-43e3-8ab2-bb9673eed786/procedure_representations.tar.gz?versionId=fef2380c-c869-4a3f-8e32-bc4972dbb219">procedure_representations.tar.gz</a>) contains: <ol> <li>The raw representations for all the binary procedures in the above dataset. Each procedure is represented by one line in the relevant file for each set (training.json, validation.json and test.json) </li> <li>The above representations preprocessed for training.</li> </ol> </li> <li>The pre-trained model file (<a href="https://zenodo.org/api/files/0e98c909-50b4-43e3-8ab2-bb9673eed786/nero_gnn_model.tar.gz">nero_gnn_model.tar.gz</a>) was created using the above preprocessed dataset and contains: <ol> <li>Pre-trained model.</li> <li>Training log.</li> <li>Prediction results log.</li> </ol> </li> </ol> <p>For the code of the "Nero" prototype, and more information about the above artifacts see <a href="https://github.com/tech-srl/Nero">our Github repo</a></p>
Dataset for "Pop Quiz! Can a Large Language Model Help WIth Reverse Engineering?"
<p>Source files and scripts for the test framework used in evaluating OpenAI's code-davinci-001 (also known as davinci-codex) model for reverse engineering tasks. All results presented in the associated manuscript are preserved in this dataset, or you can use it to perform additional experiments or re-generate the results.</p>
Making virtual species less virtual by reverse engineering of spatiotemporal ecological models v3
<p>The most up-to-date version of the archive that contains all the necessary data to perform analyses supporting the paper <em>Making virtual species less virtual by reverse engineering of spatiotemporal ecological models </em>(<a href="https://doi.org/10.1111/2041-210X.14176">https://doi.org/10.1111/2041-210X.14176</a>) .</p> <p>The research was supported by the National Science Centre, Poland (grant no. 2018/29/B/NZ8/00066) and Poznań Supercomputing and Networking Centre (grant no. 403). </p> <p> </p>
Automated Stitching of Noisy Scanning Electron Microscopy Images for Integrated Circuit Reverse Engineering
<p>A scanning electron microscope (<strong>SEM</strong>) usually creates images in the range of megapixel resolutions, but analyzing an IC layer requires resolutions in the gigapixel range. To create such large images, many individual images must be taken and then fused into one large image, which poses unique challenges: <strong>SEM</strong> images are affected by distortion due to charging effects and often exhibit high levels of noise and low contrast. One way of reducing the entry barrier to IC reverse engineering is to develop algorithms that can provide good results even in the case of suboptimal image quality, as can be produced by older, more readily available <strong>SEMs</strong>.</p> <p>This dataset contains images and additional information that has been cut from the PAINE paper due to length constraints. It also links to the thesis which served as base for the PAINE paper.</p>
View-Based-Reverse-Engineering/Retriever-Benchmark: v5.2.0.202410181425
The benchmark for the view-based Retriever approach to reverse engineering software architecture models.
Novel Application of a Low-cost Alternative to Patient Specific Implants (PSI) in Mandibular Free Fibula Flap Reconstruction by Reverse Engineering of Stock Plates: A Pilot Validation Study
ClinicalTrials.gov study NCT05672056. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Reverse Engineering of Exclusive Enteral Nutrition
ClinicalTrials.gov study NCT03508193. IPD Sharing: NO. Countries: 1. Publications: 3.
siQ-ChIP: A reverse-engineered quantitative framework for ChIP-sequencing
GEO Series GSE132906. Homo sapiens. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Systems metabolic engineering of Streptomyces albus for advanced production of the reverse antibiotic nybomycin
GEO Series GSE240471. Streptomyces albidoflavus. 45 samples. Type: Expression profiling by high throughput sequencing.
Valorization of seaweed hydrolysate for production of the high-value reverse antibiotic nybomycin using metabolically engineered Streptomyces explomaris
GEO Series GSE291039. Streptomyces sp. Je 1-4 4N24. 24 samples. Type: Expression profiling by high throughput sequencing.
Accuracy and Reproducibility of Virtually Guided Minimally Invasive Tooth Preparations Using Reverse Engineering
ClinicalTrials.gov study NCT04653519. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Reverse-Engineering of Exclusive Enteral Nutrition (RE-EEN) in Crohn's Disease: A Multi-Center Trial
ClinicalTrials.gov study NCT06216899. IPD Sharing: NO. Countries: 2. Publications: 0.
Reverse engineering of industrial pharmaceutical-producing actinomycete strains
GEO Series GSE4395. Streptomyces coelicolor. 43 samples. Type: Expression profiling by array; Genome variation profiling by array.
Hierarchical regulation in a KRAS pathway-dependent transcriptional network revealed by a reverse-engineering approach
GEO Series GSE38614. Rattus norvegicus. 18 samples. Type: Expression profiling by array.
Reverse engineering of TLX oncogenic transcriptional networks identifies RUNX1 as tumor suppressor in T-ALL
GEO Series GSE33550. Mus musculus; Homo sapiens. 67 samples. Type: Expression profiling by array.
Hierarchical regulation in a KRAS pathway-dependent transcriptional network revealed by a reverse-engineering approach (RAS-ROSE and ROSE with siRNA)
GEO Series GSE38585. Rattus norvegicus. 2 samples. Type: Expression profiling by array.
Hierarchical regulation in a KRAS pathway-dependent transcriptional network revealed by a reverse-engineering approach (7TF and control)
GEO Series GSE38584. Rattus norvegicus. 16 samples. Type: Expression profiling by array.
Engineering of novel DNA polymerase variants for single enzyme quantitative multiplex Reverse Transcription-PCR
GEO Series GSE280134. Severe acute respiratory syndrome coronavirus 2. 5 samples. Type: Other.
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.