
Digitalization of Microscopic Images of Polymers and Composite Materials from the Central Research Institute of Polymers and Artificial Leathers (SEM, TEM, optical plastolgraphy / polymerography).
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Digitalization of Microscopic Images of Polymers and Composite Materials from the Central Research Institute of Polymers and Artificial Leathers (SEM, TEM, optical plastolgraphy / polymerography).
Digitalization of Microscopic Images of Polymers and Composite Materials from the Central Research Institute of Polymers and Artificial Leathers (SEM, TEM, optical plastolgraphy / polymerography).
The compressed file contains C++ source code for performance measurement
FRAP curve modeling using transient-sensitive analog computer unit with oscilloscopic CRT (Practicum, 2014)
The data is obtained from electrocardiography, using flexible electrode, Ag/AgCl electrode and Metal Clamp electrode of a femal subject, age 22 years old.
Passive wireless actuators have advantages similar to passive wireless sensors, which is also suitable for use in human body or sealed spaces that require wireless operation or control. This paper proposes a passive wireless switching array based on MEMS switches. By inductive coupling, AC signals are used as power as well as control signals at the same time. The switching system includes four switching branches, each of which is composed of a receiving inductor, an AC-DC convert circuit, a MEMS switch, and a load.
This dataset includes gathering 18-month raw PV data at time intervals of about 200 µs (5 kHz sampling). A post-processing 365-day day-by-day downsampled version, converted to 10 ms intervals (100 Hz sampling), is also included. The end results are two databases: 1. The original, raw, data, including both fast (short circuit, 200 µs) and slow (sweep, 2.5-3.9 s) information for 18 months. These show intervals of missing points, but are provided to allow potential users to reproduce any new work. 2.
This data is for training and validating the neural networks.
Basic bibliometric analysis of the IoT
Our multimedia files contain the general results for all of our experiments.
Furthermore, we provide files containing the general characteristics of our test system as well as the scenarios used in our experiments.
This DATASET serves as a contemporary benchmark data set for solving multiple (or all) real-valued solutions for algebraic power flow problems. When this DATASET was originally created in 2019, it contained a huge collection of real-valued power flow solutions (up to dozens of thousands for some cases) for five standard IEEE test cases, i.e.
For effectness verification of our proposed neural network, a total of 19,368 lab-made images of butterfly specimensspanning 48 sub-species areutilizedas testing samples, while 116,208 augmented images are employed for training.
Infrared imaging from aerial platforms can be used to detect landmines and minefields remotely and can save many lives. This dataset contains thermal images of buried and surface landmines. The images were recorded from a fixed camera for 24 hours with 15-minute intervals. DM-11 type anti-personnel landmines were used. This dataset is available for landmine detection research.
Abstract
Background
Recent researches suggest assessing more ethnic disparities in hypertension (HTN). On the other hand, studies reveal impressive mortality rates due to cardiovascular diseases for some breeds compared to others.
Method
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].
Normal 0 false false false EN-US X-NONE AR-SA
Experiments are conducted on a polishing industrial robot using the CompuGauge robot performance analysis system. The aim of this experiment is to explore the influences of link dimension errors and joint torsional angle errors on the positional accuracy reliability for single coordinate, single point, multipoint and trajectory accuracy of industrial robots.
The original AirQuality dataset is downloaded from UCI\footnote{http://archive.ics.uci.edu/ml/datasets/Air+Quality}. CentralAirConditioning is a semi-open access dataset for Chinese National Contest of Maths Models\footnote{http://www.tipdm.org/bdrace/index.html}. The last two oilwell maintenance datasets are provided by China National Offshore Oil Corporation (CNOOC)\footnote{http://www.cnooc.com.cn/en/}.
None
The dataset is used to test the performance of encryption model
The odometric model is simulated herein. We described the trajectory of such one odometric model, with the delta of the heading angle given as one parameter of the simulation. The iterations show that the trajectory is well in the continuity of the variations of the heading angle. Moreover the distance in X and in Y are shown for the vehicle to be driven in the trajectory of the odometric model. Moreover I have displayed the linear approximation then. This is a tiny approximation made based upon the equations of the odometric model.
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.