leakdb
LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large number of artificially created but realistic leakage scenarios, on different water distribution networks, under varying conditions. A scoring algorithm in MATLAB code is provided to evaluate the results of different algorithms.
Science Score: 36.0%
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (6.8%) to scientific vocabulary
Keywords
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Repository
LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large number of artificially created but realistic leakage scenarios, on different water distribution networks, under varying conditions. A scoring algorithm in MATLAB code is provided to evaluate the results of different algorithms.
Basic Info
Statistics
- Stars: 61
- Watchers: 7
- Forks: 21
- Open Issues: 2
- Releases: 0
Topics
Metadata Files
README.md
LeakDB
LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large number of artificially created but realistic leakage scenarios, on different water distribution networks, under varying conditions. A scoring algorithm in MATLAB code is provided to evaluate the results of different algorithms.
How to run a use example of the dataset
Download the folder LeakDB, set the run path in Matlab to CCWI-WDSA2018, and run main.m. This provides a user interface in Matlab where the user can run and evaluate the provided leakage detection algorithms on a limited number of scenarios on the Hanoi benchmark network.
Download the complete dataset
The LeakDB dataset is currently being expanded, as more networks, detection algorithms and features are added. The complete dataset is provided: DATASET
Cite as:
Vrachimis, S. G., Kyriakou, M. S., Eliades, D. G. and Polycarpou, M. M. (2018). LeakDB: A benchmark dataset for leakage diagnosis in water distribution networks. In Proc. of WDSA / CCWI Joint Conference (Vol. 1).
Owner
- Name: KIOS Research and Innovation Center of Excellence, University of Cyprus
- Login: KIOS-Research
- Kind: organization
- Location: Nicosia, Cyprus
- Website: www.kios.ucy.ac.cy
- Repositories: 61
- Profile: https://github.com/KIOS-Research
GitHub Events
Total
- Watch event: 18
- Push event: 1
- Fork event: 2
Last Year
- Watch event: 18
- Push event: 1
- Fork event: 2
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Marios S. Kyriakou | m****k@g****m | 19 |
| Stelios G. Vrachimis | v****s@u****y | 7 |
| Demetrios G. Eliades | e****t@g****m | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 3
- Total pull requests: 0
- Average time to close issues: 12 days
- Average time to close pull requests: N/A
- Total issue authors: 3
- Total pull request authors: 0
- Average comments per issue: 1.67
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
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- Issue authors: 0
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- Average comments per issue: 0
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