309 Works

Design, Fabrication and Testing of an Internet Connected Intravenous Drip Monitoring Platform

Mohit Kalra Pranshul Sardana


RSSI-Based Indoor Localization with the Internet of Things

Petros Spachos Sebastian Sadowski

Fuzzy-PID-Based Frequency-Tracking Technique for Ultrasonic Vibration Systems

Bao-Hua Yu Li-Yang Kong

Timeline data for \"The Rise and Evolution of Agile Software Development\"

Norsaremah Salleh Rashina Hoda

IEEE Signal Processing Cup 2018 Database - Forensic Camera Model Identification

Paolo Bestagini Matthew C. Stamm

Amount of vibration transmitted by a vehicle suspension system

Stephane Gaubert Giuseppe C. Calafiore

BBP Policy documents

Suresh Malladi

A Systematic Review of Information Visualization in Building Information Modeling

Paulo Ivson, André Moreira, Francisco Queiroz, Wallas Santos & Waldemar Celes
This dataset contains the results of a systematic literature review of information visualization in Building Information Modeling (BIM). BIM employs 3D CAD models as a central knowledge base for large-scale facility design, construction, and operation. For many years now, the construction industry has researched how to best take advantage of this integrated environment. Its growing information complexity calls upon innovative techniques for effective visual analysis and exploration. An important question remains: how to best display...

Benchmark scheduling policies-MODFJSP

Yong Zhou
To investigate the generalization performance of the evolved scheduling policies(SPs), which are generated by the hyper-heuristic coevolution, the evolutionary SPs extracted from the aggerate Pareto front were applied to 64 testing scenarios to compare with the combinations of 320 existing man-made SPs which include 32 job sequencing rules and 10 machine assignment rules. This dataset provides the simulation performance of the evolved SPs and the 320 existing man-made SPs on the multi-objective dynamic flexible job...

Sussex-Huawei Locomotion and Transportation Dataset

Hristijan Gjoreski, Mathias Ciliberto, Lin Wang, Francisco Javier Ordoñez Morales, Sami Mekki, Stefan Valentin & Daniel Roggen
This dataset is a highly versatile and precisely annotated large-scale dataset of smartphone sensor data for multimodal locomotion and transportation analytics of mobile users.The dataset comprises 7 months of measurements, collected from all sensors of 4 smartphones carried at typical body locations, including the images of a body-worn camera, while 3 participants used 8 different modes of transportation in the southeast of the United Kingdom, including in London.In total 28 context labels were annotated, including...

Confocal Microscopy Images of Cardiomyocyte Development Stages

Alexandra Zahradníková jr. & Pavel Škrabánek
Datasets of confocal microscopy images of cardiomyocytes aimed at development of image recognition systems. Images of live and healthy cardiomyocytes with fluorescently stained sarcolemma were assigned into 5 classes according to their development stages. The least developed cardiomyocytes were considered to be at stage 1 (class 1) while the most developed ones were assigned stage 5 (class 5). All other images belong to a class 0.

COD experiments

Mahir Meghji, Aaron Balloch, Daryoush Habibi, Iftekhar Ahmad, Nicolas Hart, Robert Newton, Jason Weber & Adnan Waqar
Orientation tracking of a moving object has a widevariety of applications, including but not limited to military,surgical aid, navigation systems, mobile robots, gaming, virtualreality, and gesture recognition. In this article, a novel algorithmis presented to automatically track and quantify change ofdirection (COD) incident angles or heading angles (i.e. turningangles) of a moving athlete using the inertial sensor signals froma microtechnology unit (an inertia measurement unit (IMU))commonly used in elite sport. The algorithm is also capableof...

Artificial intelligence machine architecture model with human intelligence ability

farshid bahrami
AbstractThis is a model of artificial intelligence architecture with the technique of targeting and assembling various components (as needed) together to get artificial intelligence with characteristics similar to human intelligence. This model represents the general form of work, the way and method, and the mechanism of manufacturing an artificial intelligence device, and how that structure can become artificial intelligence.To begin with, the structure and tasks of each part and how to form its constituent parts...

Short-term Photovoltaic Power Forecasting based on Long Short Term Memory Neural Network and Attention Mechanism

Ke Yan
Photovoltaic (PV) power generation forecasting is an important topic in field of power system, energy conversion and smart grid construction. The PV power generation has the properties of randomness and volatility is due to the variability of solar irradiance, temperature and other meteorological factors. In order to reduce the volatility, accurate PV power generation forecasting techniques are demanded. A novel hybrid short-term PV power forecasting model based on long short term memory neural network (LSTM)...


Hassan Khani

Forklift Positioning System for Pallet Tracking in Industrial Environments

Valentin Barral Vales, Pedro Suarez Casal, Carlos J. Escudero & Jose A. Garcia Naya
This repository contains ROS bags with measurements related to the article "Forklift Positioning System for Pallet Tracking in Industrial Environments". The dataset includes measurements from UWB tags, IMU, Magnetometer and Px4Flow simulated in Gazebo. Also includes the position estimations calculated using the algorithm described in the related paper.


Zihang He
Our dataset includes three parts: MNIST-rot, MNIST-scale, and MNIST-rand. MNIST-rot is generated by randomly rotating each sample in the MNIST testing dataset in $[0,2\pi]$. We generated MNIST-scale by randomly scaling the ratio of the area occupied by the symbol over that of the entire image by a factor in $[0.5,1]$, and generated MNIST-rand by scaling and rotating images in MNIST testing dataset simultaneously.

Microfluidic Lab-on-a-dish (3D printing)

Nasirov P.A. & Gradov O.V.
Microfluidic Lab-on-a-dish (3D printing). O.V. Gradov group, INEPCP RAS, 2017-2018.https://vimeo.com/273508513 Acknowledgements:“Development of the novel physical methods for complex biomedical diagnostics based on position-sensitive mapping with the angular resolution at the tissue and cellular levels using analytical labs-on-a-chip” (RFBR grant # 16-32-00914)“Lab-on-a-chip development for personalized diagnostics” (FASIE grant 0019125)

Modified characteriograph-assisted testings of spectrozonal analog lab-on-a-chip under laser beams

Nasirov P.A. & Gradov O.V.
Modified characteriograph-assisted testings of spectrozonal analog lab-on-a-chip under laser beams

Numerical optimization of adhesive mounted MEMS pressure sensors

Andreas Dörfler, Gregor Feiertag, Matthias Schmidt, Andreas Rüdiger & Ulrich Wagner
Our research addresses time-dependent hysteresis effects in adhesive packaged MEMS pressure sensors.Typically calibrated inside a certain temperature and pressure range, they provide precise pressure measurements, giventhat certain setting times after temperature changes are maintained. Signal errors arise when temperature changesinduce time-dependent viscoelastic relaxation in the adhesive which cannot be compensated by calibration. High precisionapplications which demand absolute signal accuracies below 30Pa on chips well below 1mm scales, while the requirementof factory calibration before soldering demands...

Data from: \"Metamorphic Relations for Enhancing System Understanding and Use,\" IEEE Transactions on Software Engineering

Zhi Quan Zhou, Liqun Sun, Tsong Yueh Chen & Dave Towey
This dataset is from the paper "Metamorphic Relations for Enhancing System Understanding and Use" by Zhi Quan Zhou, Liqun Sun, Tsong Yueh Chen, and Dave Towey, accepted for publication in IEEE Transactions on Software Engineering.

Registration Year

  • 2018

Resource Types

  • Dataset