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2,206 results for “Communications”
FiN-2: Larg-Scale Powerline Communication Dataset (Pt.1)
<p># FiN-2 Large-Scale Real-World PLC-Dataset</p> <p>## About<br> #### FiN-2 dataset in a nutshell:<br> FiN-2 is the first large-scale real-world dataset on data collected in a powerline communication infrastructure. Since the electricity grid is inherently a graph, our dataset could be interpreted as a graph dataset. Therefore, we use the word node to describe points (cable distribution cabinets) of measurement within the low-voltage electricity grid and the word edge to describe connections (cables) in between them. However, since these are PLC connections, an edge does not necessarily have to correspond to a real cable; more on this in our paper.<br> FiN-2 shows measurements that relate to the nodes (voltage, total harmonic distortion) as well as to the edges (signal-to-noise ratio spectrum, tonemap). In total, FiN-2 is distributed across three different sites with a total of 1,930,762,116 node measurements each for the individual features and 638,394,025 edge measurements each for all 917 PLC channels. All data was collected over a 25-month period from mid-2020 to the end of 2022.<br> We propose this dataset to foster research in the domain of grid automation and smart grid. Therefore, we provide different example use cases in asset management, grid state visualization, forecasting, predictive maintenance, and novelty detection. For more decent information on this dataset, please see our [paper](https://arxiv.org/abs/2209.12693).</p> <p>* * *<br> ## Content<br> FiN-2 dataset splits up into two compressed `csv-Files`: *nodes.csv* and *edges.csv*.</p> <p>All files are provided as a compressed ZIP file and are divided into four parts. The first part can be found in this repo, while the remaining parts can be found in the following:<br> - <a href="https://zenodo.org/record/8328105">https://zenodo.org/record/8328105</a><br> - <a href="https://zenodo.org/record/8328108">https://zenodo.org/record/8328108</a><br> - <a href="https://zenodo.org/record/8328111">https://zenodo.org/record/8328111</a><br> <br> ### Node data</p> <p>| id | ts | v1 | v2 | v3 | thd1 | thd2 | thd3 | phase_angle1 | phase_angle2 | phase_angle3 | temp |<br> |----|----|----|----|----|----|----|----|----|----|----|----|----|----|<br> |112|1605530460|236.5|236.4|236.0|2.9|2.5|2.4|120.0|119.8|120.0|35.3|<br> |112|1605530520|236.9|236.6|236.6|3.1|2.7|2.5|120.1|119.8|120.0|35.3|<br> |112|1605530580|236.2|236.4|236.0|3.1|2.7|2.5|120.0|120.0|119.9|35.5|</p> <p>- id / ts: Unique identifier of the node that is measured and timestemp of the measurement<br> - v1/v2/v3: Voltage measurements of all three phases<br> - thd1/thd2/thd3: Total harmonic distortion of all three phases<br> - phase_angle1/2/3: Phase angle of all three phases<br> - temp: Temperature in-circuit of the sensor inside a cable distribution unit (in °C)</p> <p>### Edge data<br> | src | dst | ts | snr0 | snr1 | snr2 | ... | snr916 |<br> |----|----|----|----|----|----|----|----|<br> |62|94|1605528900|70|72|45|...|-53|<br> |62|32|1605529800|16|24|13|...|-51|<br> |17|94|1605530700|37|25|24|...|-55|</p> <p>- src & dst & ts: Unique identifier of the source and target nodes where the spectrum is measured and time of measurement<br> - snr0/snr1/.../snr916: 917 SNR measurements in tenths of a decibel (e.g. 50 --> 5dB).</p> <p>### Metadata<br> Metadata that is provided along with the data covers:</p> <p>- Number of cable joints<br> - Cable properties (length, type, number of sections)<br> - Relative position of the nodes (location, zero-centered gps)<br> - Adjacent PV or wallbox installations<br> - Year of installation w.r.t. the nodes and cables</p> <p>Since the electricity grid is part of the critical infrastructure, it is not possible to provide exact GPS locations.</p> <p>* * *<br> ## Usage<br> Simple data access using pandas:</p> <p>```<br> import pandas as pd</p> <p>nodes_file = "nodes.csv.gz" # /path/to/nodes.csv.gz<br> edges_file = "edges.csv.gz" # /path/to/edges.csv.gz</p> <p># read the first 10 rows<br> data = pd.read_csv(nodes_file, nrows=10, compression='gzip')</p> <p># read the row number 5 to 15<br> data = pd.read_csv(nodes_file, nrows=10, skiprows=[i for i in range(1,6)], compression='gzip')</p> <p># ... same for the edges<br> ```</p> <p>Compressed csv-data format was used to make sharing as easy as possible, however it comes with significant drawbacks for machine learning. Due to the inherent graph structure, a single snapshot of the whole graph consists of a set of node and edge measurements. But due to timeouts, noise and other disturbances, nodes sometimes fail in collecting the data, wherefore the number of measurements for a specific timestamp differs. This, plus the high sparsity of the graph, leads to a high inefficiency when using the csv-format for an ML training.<br> To utilize the data in an ML pipeline, we recommend other data formats like [datadings](https://datadings.readthedocs.io/en/latest/) or specialized database solutions like [VictoriaMetrics](https://victoriametrics.com/).</p> <p><br> ### Example use case (voltage forecasting)</p> <p>Forecasting of the voltage is one potential use cases. The Jupyter notebook provided in the repository gives an overview of how the dataset can be loaded, preprocessed and used for ML training. Thereby, a MinMax scaling was used as simple preprocessing and a PyTorch dataset class was created to handle the data. Furthermore, a vanilla autoencoder is utilized to process and forecast the voltage into the future.</p> <p> </p> <p> </p>
Evaluation of Adherence to Topical Agents: Applying Communication Technology to Improve Sunscreen Use
ClinicalTrials.gov study NCT00535769. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effectiveness of DECIDE in Patient-Provider Communication, Therapeutic Alliance & Care Continuation
ClinicalTrials.gov study NCT01947283. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Enhancing Source Credibility in Tobacco Regulatory Communications
ClinicalTrials.gov study NCT03339206. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Project to Improve Communication About Serious Illness--Hospital Study: Pragmatic Trial (Trial 1)
ClinicalTrials.gov study NCT04281784. IPD Sharing: NO. Countries: 1. Publications: 2.
Evaluating the Efficacy of the Pain Identification and Communication Toolkit
ClinicalTrials.gov study NCT06168604. IPD Sharing: YES. Countries: 1. Publications: 0.
COMMunication and Education for the New CPAP Experience
ClinicalTrials.gov study NCT01377584. IPD Sharing: Not stated. Countries: 1. Publications: 20.
A Patient-Centered Communication Tool (UR-GOAL) Versus Usual Care for Older Patients With Acute Myeloid Leukemia, Their Caregivers, and Their Oncologists
ClinicalTrials.gov study NCT05335369. IPD Sharing: YES. Countries: 1. Publications: 3.
A Communication Tool to Improve Communication in the ICU
ClinicalTrials.gov study NCT05780918. IPD Sharing: YES. Countries: 1. Publications: 1.
Advance Care Planning: Promoting Effective and Aligned Communication in the Elderly
ClinicalTrials.gov study NCT03609177. IPD Sharing: NO. Countries: 1. Publications: 3.
Diabetes Communication and Treatment Burden
ClinicalTrials.gov study NCT04568382. IPD Sharing: NO. Countries: 1. Publications: 1.
Code Status Discussions in Muslim ICU Patients: Insights Into Physician-Family Communication
ClinicalTrials.gov study NCT07243041. IPD Sharing: NO. Countries: 1. Publications: 16.
Determining the Benefits of Improving Communication in BPAP/CPAP Users
ClinicalTrials.gov study NCT03795753. IPD Sharing: NO. Countries: 1. Publications: 1.
Quality Improvement of Patient-Provider Communication For Colorectal Cancer Screening
ClinicalTrials.gov study NCT00324753. IPD Sharing: NO. Countries: 1. Publications: 1.
Communicating Health Information and Improving Coordination With Primary Care
ClinicalTrials.gov study NCT03104543. IPD Sharing: YES. Countries: 1. Publications: 2.
Using IT to Improve Access, Communication and Asthma in African American and Hispanic/Latino Adults
ClinicalTrials.gov study NCT02086565. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Behavioral Change Communication (BCC) to Promote Physical Activity Among Females With Type 2 Diabetes Mellitus Attending Diabetic Clinic
ClinicalTrials.gov study NCT00690326. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Advance Care Planning: Communicating With Outpatients for Vital Informed Decision
ClinicalTrials.gov study NCT04660422. IPD Sharing: YES. Countries: 1. Publications: 2.
Personalized Experiences to Inform Improved Communication for Patients With Life Limiting Illness
ClinicalTrials.gov study NCT04118569. IPD Sharing: YES. Countries: 1. Publications: 2.
Visualizations to Improve Pain Communication Between Patients, Interpreters, and Providers
ClinicalTrials.gov study NCT04975789. IPD Sharing: NO. Countries: 1. Publications: 1.
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