Remote sensing of environment research has explored the benefits of using synthetic aperture radar imagery systems for a wide range of land and marine applications since these systems are not affected by weather conditions and therefore are operable both daytime and nighttime. The design of image processing techniques for synthetic aperture radar applications requires tests and validation on real and synthetic images. The GRSS benchmark database supports the desing and analysis of algorithms to deal with SAR and PolSAR data.
The distributed generation, along with the deregulation of the Smart Grid, have created a great concern on Power Quality (PQ), as it has a direct impact on utilities and customers, as well as effects on the sinusoidal signal of the power line. The a priori unknown features of the distributed energy resources (DER) introduce non-linear behaviours in loads associated to a variety of PQ disturbances.
This dataset uses a newly introduced method for the analysis of the effects on WCET of the tools used in real-time systems. It is the result of a full factorial experiment comparing SCADE code generation tools (SCADE 5 and 6), compilers (Wind River, GCC, Code Warrior), optimization settings, and WCET analysis tools (high water mark measurement, Rapita RVS, Otawa, AbsInt aiT). SCADE generated software is targeted due to its prevalence in hard real-time systems and the ease with which it can be randomly varied.
Real life business processes change over time, in both planned and unexpected ways. These changes over time are called concept drifts and its detection is a big challenge in process mining since the inherent complexity of the data makes difficult distinguishing between a change and an anomalous execution. The following logs were generated synthetically in order to prove the quality of different concept drift detection algorithms.
Code duplicates in large code corpora have adverse effects on the evaluation and use of machine learning models that rely on them. Most existing corpora suffer from this problem to some extent. This dataset contains a "duplication" index for some of the existing corpora in Big Code research. The method for collecting this dataset is described in "The Adverse Effects of Code Duplication in Machine Learning Models of Code" by Allamanis [ArXiV, to appear in SPLASH 2019].
Our proposed solution is to solve the big data transaction problem, which is based on smart contracts, digital watermarks and blockchains. Through the solution we proposed, we can solve some problems in the current big data transaction.
This code mainly implements all the functions of the smart contract proposed in our paper.
The image shows the FSGS we designed. The left area shows the operation interface, the lower right area shows the block information (including transaction information), and the upper right area is the code area.
These datasets are of the hydraulically actuated robot HyQ’s proprioceptive sensors. They include absolute and relative encoders, force and torque sensors, and MEMS-based and fibre optic-based inertial measurement units (IMUs). Additionally, a motion capture system recorded the ground truth data with millimetre accuracy. In the datasets HyQ was manually controlled to trot in place or move around the laboratory. The sequence includes: forward and backwards motion, side-to-side motion, zig-zags, yaw motion, and a mix of linear and yaw motion.
This VirtualBox image allows to reproduce the results presented in the paper "Time constrained exploration using toposemantic spatial models: a reproducbile approach." to appear in the IEEE Robotics and Automation Magazine (Septmber 2019 issue).
These files are the dataset of the antenna simulation and measurement.All the simulation data were obtained using FEKO, and those were imported and visualized using MATLAB.The scattering parameters of the antenna were measured using Keysight E8362B vector network analyzer, while the gain patterns were measured in the anechoic chamber.
