This dataset is introduced in paper "Point-cloud-based place recognition using CNN feature extraction" by T. Sun, et al.
This dataset is for place recognition.
The dataset is collected using an omni stereo camera and a VLP-16 Velodyne LiDAR tied together and placed on a tripod.
We investigated the turn-off waveforms of Superjunction (SJ) silicon MOSFETs with respect to their own charge imbalance by experiments as well as by device simulations.
When SJ-MOSFETs are used for chopper circuits we find a unique hump in the current waveform during the turn-off transient. The magnitude of the hump shape waveform drastically depends on the charge imbalance (CIB) in the SJ structure.
This study presents an overview of AiDIN-VI, a force-controllable quadruped robot system that is incorporated the mandatory abilities: speed, efficiency, and mobility to provide real-world services.
The paper describes design methodologies and principles for implementing the requisite capabilities in a single robot platform, and in particular, the torque sensing method, components, and modularization method of the torque-controllable actuator unit.
S&P 500 index of monthly data of bull/bear markets
superjunction mosfets turn-off switching waveforms
This dataset is used to design patent. The system is basic , as can be seen from figure.
As the boost converter, BMS is on existing designs.It is very simple for any graduate,degree holder or school students, so no paper is written for it.
There is related dataset-Data: Fifteen 255W Panels Connected Li-Ion
Magnetic resonance spectroscopy (MRS) data for a series of GABA phantoms specifically designed to provide ground truth data for GABA quantification based on MRS data. The spectra were obtained using the WIP Siemens implementation svs-edit of the common edited spectroscopy MEGAPRESS sequence on a 3T Siemens Magnetom Skyra system installed in the Clinical Imaging Unit at Swansea University (UK).
Drive testing is a common practice by mobile operators to evaluate the performance and coverage of their deployed mobile communication systems. Drive testing is, however, a very expensive practice. Furthermore, due to the complexity of future 5G mobile networks, accurate and efficient ways of optimizing and evaluating coverage are needed. The dataset contains measurements from a deployed LTE-A mobile communication system and corresponding satellite images.
The dataset comprises of the original audio files. The decoded files for BAAS and ADPCM. The audio files are 16kHz sampled PCM file. The files with .out extensions are the output files to the BAAS encoder, the column is the amplitude and the second column in the file is the step difference in the time interval.
This dataset is in support of my 2 research papers ' '.
Preprint :
Related Claim : Novel ß Non-Linear Theory, Novel ß Inverter and Novel ß PFC in Patent 'Novel ß 10-Axis Grid Compatible Multi-Controller'
Service times for the scaling schemes compared in this paper with the administrative switching overheads averaged out
This is the data Archive for Zhang, et al., “A Geophysical Model Function for S-band Reflectometry of Ocean Surface Winds in Tropical Cyclones,” accepted by Geophysical Research Letters. This data set was generated from twelve (12) days of airborne S-band (2.3 GHz) reflectometry data collected during the 2014 hurricane season between 2 July 2014 and 17 September 2014. Cross-correlations between the direct and reflected S-band signals, commonly referred to as the “waveform” or delay-Doppler map (DDM) are provided with corresponding aircraft time and position data.
This dataset is in support of my research paper 'Comparative Control Loop Stability & Eigen Analysis of Transfer Functions in 7.5 Hp BLDC Sensorless SMO'.
Preprint :
The correlation matrix and the survey items are provided for the design and validation of an instrument to evaluate the implementation of six sigma critical success factors during the realization of improvement projects in higher education institutions.
This dataset contains the Logs obtained from executing the HeatMap application implemented with different architectural styles (i.e., server-centric, mobile-centric, Hybrid). These logs can be used to reproduce the app consumption with each architectural design.
Blockchain is currently envisioned as a promising technology for enabling new applications, e.g., authenticity of diploma, supplying chain finance, and automatical transaction. Smart contract is a key function in blockchain to enable fair exchanges for values within de-centralized trust. However, as the smart contract can be automatically executed together with token transferring, hackers usually exploit vulnerabilities in smart contracts for gain possible profits in terms of digital currencies.SVM is employed for detecting unknown vulnerabilities to improve the recognition rate.
The Underwater Acoustic & Navigation Lab in University of Haifa conducted a shallow water long-range underwater acoustic communication experiment across the shores of Northern Israel in March 2019. The experiment was designed to verified the adaptive modulation scheme for long-range underwater acoustic communicaiton proposed by the authors. To make the work reproducible, the authors freely share the estimated channel impulse responses from the sea experiment.
This FFT-75 dataset contains randomly sampled, potentially overlapping file fragments from 75 popular file types (see details below). It is the most diverse and balanced dataset available to the best of our knowledge. The dataset is labeled with class IDs and is ready for training supervised machine learning models. We distinguish 6 different scenarios with different granularity and provide variants with 512 and 4096-byte blocks. In each case, we sampled a balanced dataset and split the data as follows: 80% for training, 10% for testing and 10% for validation.
ebooks
Vision and lidar are complementary sensors that are incorporated into many applications of intelligent transportation systems. These sensors have been used to great effect in research related to perception, navigation and deep-learning applications. Despite this success, the validation of algorithm robustness has recently been recognised as a major challenge for the massive deployment of these new technologies. It is well known that algorithms and models trained or tested with a particular dataset tend not to generalise well for other scenarios.
Starfish color image from Berkely dataset.
Database for FMCW THz radars (HR workspace) and sample code for federated learning
在此数据集中，对于不同的范围：1000、10000、100000，输入数据分为三个txt文件。
每个特定的txt文档包含500个样本数据，平均分为5类，分别表示为N = 5,12,18,23,30。
