Filters








790 Hits in 3.8 sec

Decibel

Michael Maddox, David Goehring, Aaron J. Elmore, Samuel Madden, Aditya Parameswaran, Amol Deshpande
2016 Proceedings of the VLDB Endowment  
In this paper, we introduce the Relational Dataset Branching System, Decibel, a new relational storage system with built-in version control designed to address these shortcomings.  ...  As scientific endeavors and data analysis become increasingly collaborative, there is a need for data management systems that natively support the versioning or branching of datasets to enable concurrent  ...  In this paper, we address the above limitations via Decibel, a system for managing large collections of relational dataset versions.  ... 
doi:10.14778/2947618.2947619 pmid:28149668 pmcid:PMC5278666 fatcat:w7q646klq5ayxfkfd3hzwptz4e

UStore: A Distributed Storage With Rich Semantics [article]

Anh Dinh, Ji Wang, Sheng Wang, Gang Chen, Wei-Ngan Chin, Qian Lin, Beng Chin Ooi, Pingcheng Ruan, Kian-Lee Tan, Zhongle Xie, Hao Zhang, and Meihui Zhang
2017 arXiv   pre-print
Today's storage systems expose abstractions which are either too low-level (e.g., key-value store, raw-block store) that they require developers to re-invent the wheels, or too high-level (e.g., relational  ...  It is built around a data-structure similar to that of Git, a popular source code versioning system, but it also synthesizes many designs from distributed systems and databases.  ...  Acknowledgements This work was supported by the National Research Foundation, Prime Minister's Office, Singapore under Grant number NRF-CRP8-2011-08.  ... 
arXiv:1702.02799v1 fatcat:g7zeqh3rrva3reszfbuhjvfumi

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications [article]

Sheng Wang, Tien Tuan Anh Dinh, Qian Lin, Zhongle Xie, Meihui Zhang, Qingchao Cai, Gang Chen, Wanzeng Fu, Beng Chin Ooi, Pingcheng Ruan
2018 arXiv   pre-print
They present new opportunities for storage systems to efficiently support such applications by embedding the above requirements into the storage.  ...  We conduct extensive experimental evaluation of these applications against respective state-of-the-art system.  ...  Decibel [35] and Or-pheusDB [50] support these features for relational datasets, employing delta-based deduplication techniques.  ... 
arXiv:1802.04949v1 fatcat:3kjgoq6dkvb77jtg6vz6bxwho4

Forkbase

Sheng Wang, Tien Tuan Anh Dinh, Qian Lin, Zhongle Xie, Meihui Zhang, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan
2018 Proceedings of the VLDB Endowment  
They present new opportunities for storage systems to efficiently support such applications by embedding the above requirements into the storage.  ...  Existing data storage systems offer a wide range of functionalities to accommodate an equally diverse range of applications.  ...  ACKNOWLEDGMENTS This work was supported by the Singapore Ministry of Education Tier-3 Grant MOE2017-T3-1-007 (WBS No. R-252-000-A08-112).  ... 
doi:10.14778/3231751.3231762 fatcat:zkjdptwobfgq5o7e7epw22xfq4

ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications [article]

Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan, Sheng Wang, Zhongle Xie, Meihui Zhang, Olafs Vandans
2020 arXiv   pre-print
However, the original Git design handles data at the file granule, which is considered too coarse-grained for many database applications.  ...  ForkBase is a distributed, immutable storage system designed for data version management and data collaborative operation.  ...  (application-oriented) TABLE I COMPARISON I WITH RELATED DATA VERSIONING SYSTEMS System Data Model Deduplication Tamper Evidence Branching ForkBase [1] structured/unstructured, immutable page  ... 
arXiv:2004.07585v1 fatcat:2uykcy6f45d7pop236albqvaea

Simulated and observed backscatter at P-, L-, and C-bands from ponderosa pine stands

Y. Wang, F.W. Davis, J.M. Melack
1993 IEEE Transactions on Geoscience and Remote Sensing  
Given the SAR data calibration uncertainty, the model made good predictions of the P-HH, P-VV, L-HH, C-HH, and C-HV backscatter for the three stands, and the P-HV and L-HV backscatter for ST-2 and SP-2  ...  The model underestimated C-VV for the three stands, and P-HV , L-HV, and L-VV backscatter for ST-11.  ...  They also appreciate the help from the Hi-Ridge Lumber Company, and the crew of the Franklin Logging Company, who made the tree crown measurements possible.  ... 
doi:10.1109/36.239910 fatcat:igcp34vlgzcuzmy4dl3culpqie

Piano Skills Assessment [article]

Paritosh Parmar, Jaiden Reddy, Brendan Morris
2021 arXiv   pre-print
In this work, we collect and release a first-of-its-kind dataset for multimodal skill assessment focusing on assessing piano player's skill level, answer the asked questions, initiate work in automated  ...  Dataset is available from: https://github.com/ParitoshParmar/Piano-Skills-Assessment.  ...  Visual branch: Since our dataset is small, we design a small, custom 3DCNN network (C64, MaxP, C128, MaxP, C256, MaxP, C256, MaxP, C256, MaxP) to process the visual information.  ... 
arXiv:2101.04884v2 fatcat:nwayldli3za5lfnrbtfhzrtbeq

Deep Learning Audio Spectrograms Processing to the Early COVID-19 Detection

Ciro Rodriguez Rodriguez, Daniel Angeles, Renzo Chafloque, Freddy Kaseng, Bishwajeet Pandey
2020 2020 12th International Conference on Computational Intelligence and Communication Networks (CICN)  
The results obtained were a precision of 0.75 to 0.80, this being drastically affected by the quality of the dataset at our availability, however, when getting relatively high results for the conditions  ...  of the data used, we can conclude that the model can present much better results if it is working with a dataset specifically of respiratory sounds of COVID-19 cases with high quality.  ...  The ones that promise the best results are those related to the implementation of Artificial Intelligence (AI), which can be defined as the branch of computer science that studies and looks for the way  ... 
doi:10.1109/cicn49253.2020.9242583 fatcat:5g2vhiitgnhejkiju74crnmsti

A Review of Environmental Barriers to Obtaining Adequate Sleep in the Military Operational Context

Janna Mantua, Alexxa Bessey, Walter J Sowden, Richard Chabuz, Allison J Brager, Vincent F Capaldi, Guido Simonelli
2019 Military medicine  
Therefore, the goal of this review was to outline prominent environmental sleep disruptors, describe how they occur in the military operational context, and also discuss feasible strategies to mitigate  ...  This is especially true in the military operational context (e.g., training, garrison, combat) where continuous operations prevent adequate time for rest and recuperation.  ...  One potential avenue for future research could be leveraging large datasets and determining whether subjective or objective sleep quality are related to geographic region.  ... 
doi:10.1093/milmed/usz029 pmid:30839072 fatcat:xpahoeewtvdolicokaxse3lpsm

Effectiveness of Noise-Attenuating Headphones on Physiological Responses for Children With Autism Spectrum Disorders

Beth Pfeiffer, Leah Stein Duker, AnnMarie Murphy, Chengshi Shui
2019 Frontiers in Integrative Neuroscience  
In addition, researchers examined if the intervention provided protection against the negative effects of decibel level of environmental noises on electrodermal measures between interventions.  ...  Conclusion: Many children with ASD have hypersensitivities to sound resulting in high levels of sympathetic nervous system reactivity, which is associated with problematic behaviors and distress.  ...  When triggered by stress, the emotional motor systems pathway activates one of the branches of the autonomic nervous system, the hypothalamic-pituitary-adrenal axis (HPAaxis; Mayer, 2000) .  ... 
doi:10.3389/fnint.2019.00065 pmid:31798424 pmcid:PMC6863142 fatcat:unik25vzdzepxba45m4jb6y5yi

Innovative Artificial Intelligence Approach for Hearing-Loss Symptoms Identification Model Using Machine Learning Techniques

Mohd Khanapi Abd Ghani, Nasir G. Noma, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Begonya Garcia-Zapirain, Mashael S. Maashi, Salama A. Mostafa
2021 Sustainability  
sample datasets.  ...  In this study, we focus on developing a decision-support system for diagnosing the symptoms as a result of hearing loss. The model is implemented by utilizing machine learning techniques.  ...  Data Availability Statement: The data presented in this study are available on request from the corresponding author.  ... 
doi:10.3390/su13105406 fatcat:24mtgovno5ajrjrfwuwao7uoia

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines [article]

Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Lei Zhu, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi
2021 arXiv   pre-print
The system supports multiple user roles with the ability to perform Git-like branching and merging operations in the context of the machine learning pipelines.  ...  With the ever-increasing adoption of machine learning for data analytics, maintaining a machine learning pipeline is becoming more complex as both the datasets and trained models evolve with time.  ...  State-of-the-art systems for managing datasets versioning such as Forkbase [33] , OrpheusDB [14] , and Decibel [23] support Git-like semantics on datasets to enable collaborative analysis as well as  ... 
arXiv:2010.10246v4 fatcat:4xepaumanng25mdfjmgniq76tu

Analysis of Indexing Structures for Immutable Data [article]

Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao
2020 arXiv   pre-print
(i.e., the size of the index with deduplication over the size without deduplication).  ...  This makes it difficult for practitioners to choose the right index structure for their applications, as there is only a limited understanding of the characteristics of each index.  ...  Git and Git-like systems are also used to manage the history and branches of datasets to achieve e cient query and space utilization [5, 18, 39 ].  ... 
arXiv:2003.02090v2 fatcat:xfaxd53b6zb23gscbmwlnlsefi

Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation

Rodrigo Hernangómez, Tristan Visentin, Lorenzo Servadei, Hamid Khodabakhshandeh, Sławomir Stańczak
2022 Sensors  
In doing so, we focus on the augmentation of the dataset by synthetic data.  ...  We use a human radar reflection model based on the captured motion of the test subjects performing activities in the source dataset, which we recorded with a video camera.  ...  Acknowledgments: We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla V100 SXM2 used for this research.  ... 
doi:10.3390/s22041519 pmid:35214421 pmcid:PMC8878229 fatcat:6aucokgbhzhffn2ooq7dkydgvi

Sample Drop Detection for Distant-speech Recognition with Asynchronous Devices Distributed in Space [article]

Tina Raissi, Santiago Pascual, Maurizio Omologo
2019 arXiv   pre-print
The architecture of the neural network relies on a CNN-LSTM encoder, followed by multi-head attention. The experiments are conducted using both artificial and real data.  ...  The latter is based on the application of normalized cross-correlation between signals acquired by different devices.  ...  We thank Jon Barker for providing us with a preliminary list of temporal instants related to possible sample drops in CHiME-5.  ... 
arXiv:1911.06713v1 fatcat:qty6dbyiwrc5djosyhrsa5h26q
« Previous Showing results 1 — 15 out of 790 results