Recalculation of the Wolf Series from 1877 to 1893
Sign Up to like & getrecommendations! Published in 2020 at "Solar Physics"
DOI: 10.1007/s11207-020-01637-9
Abstract: Homogeneity is considered as the most important property of the Wolf series of sunspot relative numbers, or Wolf numbers, since without a stable scale no valid conclusions about variations in the long-term progress of solar… read more here.
Keywords: wolf series; 1877 1893; wolf; data reduction ... See more keywords
Strategies for data reduction in non-targeted screening analysis: The impact of sample variability for food safety applications.
Sign Up to like & getrecommendations! Published in 2020 at "Food chemistry"
DOI: 10.1016/j.foodchem.2020.128540
Abstract: While analytical methods targeting specific compounds are critical for food safety, analytes excluded from the targeted list will not be identified. Non-targeted analyses (NTA) using LC/HR-MS complement these approaches by producing information-rich data sets where… read more here.
Keywords: food safety; data reduction; sample variability; non targeted ... See more keywords
Detecting drug-induced changes in ECG parameters using jacketed telemetry: Effect of different data reduction techniques.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of pharmacological and toxicological methods"
DOI: 10.1016/j.vascn.2016.12.004
Abstract: INTRODUCTION Continuous cardiovascular data is routinely collected during preclinical safety assessment of new medicines. This generates large datasets, which must be summarised to analyse and interpret drug effects. We assessed four methods of data reduction… read more here.
Keywords: reduction; duration; data reduction; drug ... See more keywords
Stable keypoints selection for 2D LiDAR based place recognition with map data reduction
Sign Up to like & getrecommendations! Published in 2022 at "Robotica"
DOI: 10.1017/s0263574722000613
Abstract: Abstract This paper presents a new feature based approach for place recognition using 2D LiDAR (Light Detection And Ranging) data. The main contribution lies in the mapping process. It includes a keypoint selection strategy to… read more here.
Keywords: map data; data reduction; lidar; place ... See more keywords
Accelerating high‐dimensional clustering with lossless data reduction
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DOI: 10.1093/bioinformatics/btx328
Abstract: Motivation: For cluster analysis, high‐dimensional data are associated with instability, decreased classification accuracy and high‐computational burden. The latter challenge can be eliminated as a serious concern. For applications where dimension reduction techniques are not implemented,… read more here.
Keywords: reduction; high dimensional; dimensional clustering; data reduction ... See more keywords
Data Reduction Pipeline of the TOU Optical Very High Resolution Spectrograph and Its sub-m s−1 Performance
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz028
Abstract: TOU is an extremely high resolution optical spectrograph (R=$100,000$, 380-900~nm), which is designed to detect low mass exoplanets using the radial velocity technique.We describe an IDL-based radial velocity (RV) data reduction pipeline for the TOU… read more here.
Keywords: tou; reduction pipeline; high resolution; pipeline ... See more keywords
Data Reduction Using Change Coding for Remote Applications of Wireless Visual Sensor Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2799958
Abstract: The data reduction capability of image compression schemes is limited by the underlying compression technique. For applications with minor changes between consecutive frames, change coding can be used to further reduce the data. We explored… read more here.
Keywords: change; visual sensor; data reduction; change coding ... See more keywords
Hadoop Data Reduction Framework: Applying Data Reduction at the DFS Layer
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3127499
Abstract: Big-data processing systems such as Hadoop, which usually utilize distributed file systems (DFSs), require data reduction schemes to maximize storage space efficiency. These schemes have different tradeoffs, and there are no all-purpose schemes applicable to… read more here.
Keywords: reduction; hadoop; data reduction; dfs ... See more keywords
A Digital Filter Bank Based Method for Data Reduction in Spaceborne SAR Electronics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3200385
Abstract: On-board data reduction is a major concern in designing of a spaceborne synthetic aperture radar (SAR) system since the volume of acquired SAR data is generally much higher than the downlink capability to the ground-station.… read more here.
Keywords: sar data; data reduction; mdft bsf; method ... See more keywords
Sky Imager Data Reduction Using Autoencoder and Internet of Things Computing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3215438
Abstract: Forecasting the output power of renewable energy sources is of an utmost importance for maintaining the stability of the electricity grid and ensuring uninterrupted service. Internet-of-Things (IoT) devices equipped with sky imagers are often used… read more here.
Keywords: sky imager; imager data; data reduction; cae ... See more keywords
Data Reduction in a Low-Cost Environmental Monitoring System Based on LoRa for WSN
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2018.2878528
Abstract: The measurement of environmental variables has become a daily problem in recent years. However, the equipment commonly used for these measurements is expensive and bulky, and therefore, it is not possible to have enough spatial… read more here.
Keywords: monitoring; low cost; data reduction; reduction ... See more keywords