Changes in left ventricular (LV) aggregate cardiomyocyte orientation and deformation underlie cardiac function and dysfunction. As such, in vivo aggregate cardiomyocyte "myofiber" strain has mechanistic significance, but currently there exists no established technique to measure in vivo cardiomyocyte strain.
Device identification using network traffic analysis is being researched for IoT and non-IoT devices against cyber-attacks. The idea is to define a device specific unique fingerprint by analyzing the solely inter-arrival time (IAT) of packets as feature to identify a device. Deep learning is used on IAT signature for device fingerprinting of 58 non-IoT devices. We observed maximum recall and accuracy of 97.9% and 97.7% to identify device. A comparitive research GTID found using defined IAT signature that models of device identification are better than device type identification.
Datasets contain survey data of 873 rural poor households in the states of Maharashtra, Odisha, Madhya Pradesh, and Rajasthan.
This database is a image set of a strongest glint-affected region of inland water Capivara reservoir, Brazil. We carried out a flight survey in September 2016 on the confluence region of the Tibagi and Paranapanema Rivers. We use the hyperspectral camera manufactured by Rikola, model FPI2014, wich collect 25 spectral bands at following intervals and full widths at half maximum (FWHM), both expressed in nanometers (nm):
This paper presents a road vehicle recognition and classification approach for intelligent transportation systems. This approach uses a roadside installed low cost magnetometer and associated data collection system. The system measures the magnetic field changing, detects passing vehicles and recognizes vehicle types. We introduce Mel Frequency Cepstral Coefficients (MFCC) to analyze vehicle magnetic signals and extract it as vehicle feature with the representation of cepstrum, frame energy, and gap cepstrum of magnetic signals.
The present dataset is based on implementing of 3 approaches with respect to the acquisition of driver data. The same one that we propose to use a sensor of concentration of alcohol in the environment (physiological), a sensor that measure the temperature of the defined points on driver’s face (biological) and another one that allows to identify and recognize the thickness of the pupil (visual characteristics).
Ten software defect datasets with format ARFF
This is the data of the identified parameters of practical series-series (SS)-compensated wireless power transfer (WPT) systems based on the Genetic Algorithm, Adaptive Differential Evolution, and two-layer Adaptive Differential Evolution. These data strongly validate the accuracy of the Adaptive Differential Evolution to identify the parameters of a two-coil SS-compensated WPT and the two-layer Adaptive Differential Evolution to identify the parameters of a three-coil SS-compensated WPT system. The data can be adopted as a reference for future investigations.
This paper proposes a distributed fixed-time multi-agent control strategy for the frequency restoration and voltage regulation, state of charge balancing and proportional reactive power sharing between photovoltaic-battery systems distributed in a microgrid with communication time delays. First, the feedback linearisation method is applied to find the direct relationships between explicit states and control inputs.
The proposed hardware architecture is modelled by Verilog HDL and synthesized by a Synopsys Design compiler with Semiconductor Manufacturing International Corporation (SMIC) 65-nm CMOS technology. The upload files are the systhesis reports.
A solenoid-operated valve with DC resistance of about 10.3 Ω was exposed to 50 % RH, its rated temperature of 80 °C, and powered at its rated voltage of 12 VDC. (Note: the valve was unrated with regards to relative humidity, RH.) Using Fourier transform infrared (FTIR) spectroscopy, the insulation material was found to be a combination of polystyrene and polyethylene terephthalate. The wire gauge was not disclosed in the valve information sheet.
This is the LVSiM simulator files
This dataset of breast cancer patients was obtained from the 2017 November update of the SEER Program of the NCI, which provides information on population-based cancer statistics. The dataset involved female patients with infiltrating duct and lobular carcinoma breast cancer (SEER primary cites recode NOS histology codes 8522/3) diagnosed in 2006-2010. Patients with unknown tumor size, examined regional LNs, regional positive LNs, and patients whose survival months were less than 1 month were excluded; thus, 4024 patients were ultimately included.
Professor Newman's personal data website, the data set inside, especially the collaboration network of scientists, is used in a lot.
Load datasets for "HyperDimensional Bayesian Time Mapping (HyperBaT): A Probabilistic Approach to Time Series Mapping of Non-Identical Sequences".
This is the coefficient set for Area- and Power-efficient Nearly-Linear Phase Response IIR Filter by Iterative Convex Optimization
This code was used in some previous our articles, such as:
NGM software for applied neurogoniometry. See our previous articles.
See .doc-fie in the attachement.
— The Ionic Polymer Metal Composite (IPMC) actuator is a group of Electro-Active Polymer (EAP) which bends in response to a relatively low electrical voltage because of the motion of cations in the polymer network. IPMC has a wide range of applications in robotics, biomedical devices and artificial muscles. This paper presents a fuzzy logic approach to the electromyography (EMG) pattern recognition for an IPMC actuating system with the EMG signal.
We have included the code of protocol verification for ProVerif (in .pv format) and Scyther (in .spdl format) in the “Supplementary Materials” (Supplementary-Materials.pdf) of the revised manuscript. Essentially, the .pdf file of the “Supplementary Materials” includes: A. The source code for the protocol verifier Scyther (in .spdl format); and B. The source code for the protocol verifier ProVerif (in .pv format).
The oil-paper insulation system in power transformers operates under the effects of high temperature and strong electromagnetic environment, and the insulation medium can slowly decompose into a number of small molecules. The decomposition gases dissolved in oil are H2, CH4, C2H6, C2H4, C2H2. When a fault occurs, the insulation breaks down more quickly and the decomposition products will be different according to the type and severity of the fault.
