The paper is aimed at a class of fractionalslot

permanentmagnet synchronousmachines (FSPMSMs)

equipped with phases made up of one coil parallel

branches, with emphasis on their potential to reject the

harmonic currents circulating in the loops created by the

parallel branches. Following the identification and topological

characterization of this class of machines in Part 1,

the star of slots approach is extended to the analysis of

the back-EMF harmonic content. This makes it possible the

Categories:
28 Views

The paper is aimed at a class of fractionalslot

permanentmagnet synchronousmachines (FSPMSMs)

equipped with phases made up of one coil parallel

branches, with emphasis on their potential to reject the

harmonic currents circulating in the loops created by the

parallel branches. Following the identification and topological

characterization of this class of machines in Part 1,

the star of slots approach is extended to the analysis of

the back-EMF harmonic content. This makes it possible the

Categories:
34 Views

The paper deals with fractional-slot permanent

magnet synchronous machines (FSPMSMs) equipped

with phases made up of one coil parallel branches. These

exhibit attractive potentialities, especially their enhanced

open-circuit fault tolerance capability. Furthermore, these

topologies are suitably-adapted for low-voltage power supply

that makes them viable candidates for possible integration

in the 42V automotive technology. This potentiality is

further highlighted in battery electric vehicles where the

Categories:
32 Views

The project is conceptualized to 'Geo Web-Based Facility Mapping for Zone-2 in Greater Visakhapatnam Municipal Corporation- GVMC in Visakhapatnam, India'. The main objective is to share the spatial data to the public to help them find the information about the nearest Hospital, ATM, Educational institutions, petrol filling stations, and supermarkets by providing both web map services and web coverage services using QGIS Cloud.

Categories:
190 Views

The paper is aimed at an investigation of the effects of the mover eccentricity on the PM eddy current loss of tubular-linear synchronous machines (T-LSMs) equipped with quasi-Halbach magnetized PMs. The study is initiated by an analytical prediction of the no-load spatial repartition of the flux density taking into account the non-coaxiality of the mover and stator, and its validation by a 3D finite element analysis (FEA). Then a special attention is paid to an analytical formulation of the PM eddy current loss in presence of eccentricity.

Categories:
54 Views

The dataset consists of vessel tracking data in the form of AIS observations in the Baltic Sea during years 2017-19. The AIS observations have been enriched with vessel metadata such as power, max speed and draft. The data has been collected for master’s thesis work and the data has been splitter into training and validation sets. The AIS observations do not cover all months of the collection period. 

Categories:
715 Views

Along with the increasing use of unmanned aerial vehicles (UAVs), large volumes of aerial videos have been produced. It is unrealistic for humans to screen such big data and understand their contents. Hence methodological research on the automatic understanding of UAV videos is of paramount importance.

Instructions: 

=================  Authors  ===========================

Lichao Mou,lichao.mou@dlr.de

Yuansheng Hua, yuansheng.hua@dlr.de

Pu Jin, pu.jin@tum.de

Xiao Xiang Zhu, xiaoxiang.zhu@dlr.de

 

=================  Citation  ===========================

If you use this dataset for your work, please use the following citation:

@article{eradataset,

  title= {{ERA: A dataset and deep learning benchmark for event recognition in aerial videos}},

  author= {Mou, L. and Hua, Y. and Jin, P. and Zhu, X. X.},

  journal= {IEEE Geoscience and Remote Sensing Magazine},

  year= {in press}

}

 

==================  Notice!  ===========================

This dataset is ONLY released for academic uses. Please do not further distribute the dataset on other public websites.

Categories:
583 Views

The dataset has been colected around the Valencia Seaport. This dataset contains AIS raw data from January, February, March 2017. This dataset has been used in the testing of the Seaport Data Space proposed in the journal article titled "Seaport Data Space for Improving Logistic Maritime Operations".

Categories:
83 Views

Dataset of GPS, inertial and WiFi data collected during road vehicle trips in the district of Porto, Portugal. It contains 40 trip datasets collected with a smartphone fixed on the windshield or dashboard, inside the road vehicle. The dataset was collected and used in order to develop a proof-of-concept for "MagLand: Magnetic Landmarks for Road Vehicle Localization", an approach that leverages magnetic anomalies created by existing road infrastructure as landmarks, in order to support current vehicle localization system (e.g. GNSS, dead reckoning).

Instructions: 

Dataset is organized in folders by date.Inside each folder, it is separated in folders by collection app or equipment.Inside collection app/equipemnt folders, it is separated by sensor.For each sensor there is a time series per trip.For details about the trips, including vehicles, smartphones, apps, and dates for data collection please read "README.txt".

Categories:
526 Views

This is the image of data.

Categories:
301 Views

Pages