10,004 Works

Technological Trends of Natural Language Processing Based Semantic Analysis: A Comparative Study of the US, the EU, and Korea Patents Data

Young Geun Hyun, Jindeuk Ko & Jeong Hyeon Han
The age of Artificial Intelligence (AI) is coming. Since Natural Language Processing (NLP) is a core AI technology for communication between humans and devices, it is vital to understand technological trends. Early research on NLP focused on syntactic processing such as information extraction and subject modeling but later developed into the semantic-oriented analysis. To analyze technological trends concerning NLP, especially semantic analysis, patent data that contains objective and extensive information is analyzed. The analysis procedures...

This is a Test of the System

Alex Outman
Hello World

This is a Test of the System

Alex Outman
Hello World

Synthetic Event Streams

Gabriel Marques Tavares, Sylvio Barbon Jr. & Paolo Ceravolo
All event streams share a few common characteristics: (i) the arrival rate of cases is fixed to 20 minutes, i.e. after every 20 minutes an event from a new case arrives in the stream; (ii) the time distribution between events of the same case follows a normal distribution. For baseline behavior, the mean time was set to 30 minutes and the standard variation to 3 minutes. While for drifted behavior the mean and standard variation...

DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset

Yi Zhang, Akash Doshi, Rob Liston, Wai-tian Tan, Xiaoqing Zhu, Jeffrey Andrews & Robert Heath
This dataset is associated with the paper entitled "DeepWiPHY: Deep Learning-Based IEEE 802.11ax Receiver". It has synthetic and real-word IEEE 802.11ax OFDM symbols. The synthetic dataset has around 110 million OFDM symbols and the real-world dataset has more than 14 million OFDM symbols. Our comprehensive synthetic dataset has specifically considered typical indoor channel models and RF impairments. The real-world dataset was collected under a wide range of signal-to-noise ratio (SNR) levels and at various locations...

Dataset for Task scheduling in Cloud using CLoudsim

Muhammad Ibrahim
This is HCSP based dataset that is comprised of VMs and Cloudlets which could be used for task scheduling in cloud computing.

Two decentralized behaviors for robotic swarms from simulation to the field

David St-Onge, Vivek Shankar Varadharajan, Ivan Švogor & Giovanni Beltrame
Many applications benefit from the use of multiple robots, but their scalability and applicability are fundamentally limited when relying on a central control station. Getting beyond the centralized approach can increase the complexity of the embedded software, the sensitivity to the network topology, and render the deployment on physical devices tedious and error-prone. This work introduces a software-based solution to cope with these challenges on commercial hardware. We bring together our previous work on Buzz,...

General group-based epidemic model for spreading processes on networks: GgroupEM (datasets)

Sifat Afroj Moon
We develop a general group-based continuous-time Markov epidemic model (GgroupEM) framework for any compartmental epidemic model (e.g., susceptible-infected-susceptible, susceptible-infected-recovered, susceptible-exposed-infected-recovered). Here, a group consists of a collection of individual nodes of a network. This model can be used to understand the critical dynamic characteristics of a stochastic epidemic spreading over large complex networks while being informative about the state of groups. Aggregating nodes by groups, the state-space becomes smaller than the one of individual-based approach...

Motion-Print Control Task Movements (38 subjects)

Sam Heiserman, Kirill Zaychik & Tim Miller
This dataset is composed of 4-Dimensional time series files, representing the movements of all 38 participants during a novel control task. Both raw data and preprocessed data folders are included.In the 'subjects raw' folder there is 1 file per subject, with all 15 runs of the task contained in one file. Each run is separated by a line of all zeros. The raw data is sampled at 100 HZ, meaning 100 samples per second. Given...

Corona Virus (COVID-19) Tweets Dataset

Rabindra Lamsal
Tweets Counter: 17,713,153This dataset includes CSV files which contain the tweet IDs. The tweets have been collected by the LSTM model deployed here at sentiment.live. The model monitors the real-time Twitter feed for corona virus-related tweets, using filters: language “en” and keyword “corona”. As per the Twitter Developer Policy, it is not possible for me to provide information other than the Tweet IDs (this dataset has been completely re-designed on March 20, 2020, to comply...

ship motion

FENG TAN
The ship motion data collected in this paper is actually measured when the ship is sailing at sea. The heave displacement is measured by a laser ranging sensor. The roll and pitch angles are collected by an electronic inclinometer. The sampling time of the data set exceeds 1000s, the collection interval is 0.176s, the collection frequency is 6 times per second, and there are more than 6000 sets of data in total.

Isolating Change Propagation in Software Architecture Metrics

Andrew Leigh
This dataset contains the files provided in support of the paper entitled 'Isolating Change Propagation in Software Architectures' authored by Andrew Leigh, Michel Wermelinger and Andrea Zisman of the Open University.If you have any questions please contact: andrew.leigh@open.ac.uk the files have been shared to allow other researchers to reproduce the work. The data set includes a README file that explains the file purpose and contents in detail.

Fault-Tolerant Fractional-Slot PMSMs with One Coil Parallel Branches Made Phases. Part 1: Identification and Topological Characterization

Sahar Mkaouar, Aicha Maaoui, Michael Schier & Ahmed Masmoudi
The paper deals with fractional-slot permanentmagnet synchronous machines (FSPMSMs) equippedwith phases made up of one coil parallel branches. Theseexhibit attractive potentialities, especially their enhancedopen-circuit fault tolerance capability. Furthermore, thesetopologies are suitably-adapted for low-voltage power supplythat makes them viable candidates for possible integrationin the 42V automotive technology. This potentiality isfurther highlighted in battery electric vehicles where thepassenger safety is greatly improved in case of accidentsthanks to the reduction of the DC bus voltage. This first partis...

ASSESSMENT OF CROP ROTATION USING MULTI POLARIZED SENTINEL-1 TEMPORAL SAR DATA OVER PARTS OF KUMAUN REGION OF UTTARAKHAND

Aditya Allamraju & Hari Shanker Srivastava
Accurate information about crop rotation is essential for administrators, managers and various government departments for assessment, monitoring, and management of various resources for crop escalation. Radar remote sensing, because of its all-weather capability and assured uninterrupted data supply can show a substantial part in the evaluation of crop rotation. Twenty-Nine (29) Level-1 Ground Range Detected (GRD) Sentinel-1 C band scenes acquired in the Interferometric Wide (IW) swath mode during the period from 11th November 2017...

GEO WEB BASED FACILITY MAPPING FOR VISAKHAPATNAM ZONE-2

Pruthvi Goud Katta
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.

GEO WEB BASED FACILITY MAPPING FOR VISAKHAPATNAM ZONE-2

Pruthvi Goud Katta
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.

Offloading and Routing Strategies Experimental Results

Yean-Fu Wen
This file contains the experimental results for the research paper "Optimization-Based Offloading and Routing Strategies for Sensor-Enabled Video Surveillance Networks". Just open the excel file! then you can view the data.

6b8b RMII encoder/decoder verification data

Alexey Romanov & Francesco Gringoli
Encoding and decoding tables for 6b8b encoder/decoder for sefl-syncrhonized improved RMII protocol. Proposed encoder/decoder garantee that 2-bit TXD/RXD will change each data transmission cycle, making it possible for RMII interface to work without REF_CLK, TX_EN and CRS_DV lines.

CircleNet_DDH_Test_Results

Hai Wu
Detection results of the CircleNet with all test dataset with 1826 images

Aerial Imagery of PV Plants for boundary detection

Amirmohammad Moradi Sizkouhi , Mohammadreza Aghaei & Sayyed Majid Esmailifar
Extracting the boundaries of Photovoltaic (PV) plants is essential in the process of aerial inspection and autonomous monitoring by aerial robots. This method provides a clear delineation of the utility-scale PV plants’ boundaries for PV developers, Operation and Maintenance (O&M) service providers for use in aerial photogrammetry, flight mapping, and path planning during the autonomous monitoring of PV plants.Preparing the data is the primary step for training a Fully Convolutional Network (FCN). Accordingly, the “Amir”...

Aerial Imagery of PV Plants for boundary detection

Amirmohammad Moradi Sizkouhi , Mohammadreza Aghaei & Sayyed Majid Esmailifar
Extracting the boundaries of Photovoltaic (PV) plants is essential in the process of aerial inspection and autonomous monitoring by aerial robots. This method provides a clear delineation of the utility-scale PV plants’ boundaries for PV developers, Operation and Maintenance (O&M) service providers for use in aerial photogrammetry, flight mapping, and path planning during the autonomous monitoring of PV plants.Preparing the data is the primary step for training a Fully Convolutional Network (FCN). Accordingly, the “Amir”...

ExoNet Database: Wearable Camera Images of Human Locomotion Environments

Brock Laschowski, William McNally, Alexander Wong & John McPhee
Recent advances in computer vision and artificial intelligence have allowed researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training datasets have impeded the widespread development and dissemination of image classification algorithms for environment recognition. To address these shortcomings, we developed ExoNet - the first open-source large-scale hierarchical dataset of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million...

QUEKO-Benchmark

Bochen Tan
Quantum Mapping Example with Known Optimal Depth

Denoising Temperature on Martian Surface dataset

sofia Zurita
In the present article we analyze data from twotemperature sensors of the Curiosity rover, which has beenactive in Mars since August 2012. Temperature measurementsreceived from the rover are noisy and must be processed andvalidated before being delivered to the scientific community.Currently, a simple moving average filter is used to performsignal denoising. The application of this basic algorithm is basedon the assumption that the noise is stationary and statisticallyindependent from the underlying structure of the signal,...

Experimental materials for \"How Developers Choose Names\", IEEE Trans. Software Engineering

Dror Feitelson
This dataset contains the experimental materials for "How Developers Choose Names", published in IEEE Trans. Software Engineering.Included are files for replicating the experiments, data files of the obtained results, scripts for analyzing the results, and the results of the analysis.

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