The dataset is an extensive collection of labeled high-frequency Wi-Fi Radio Signal Strength (RSS) measurements corresponding to multiple hand gestures made near a smartphone under different spatial and data traffic scenarios. We open source the software code and an Android app (Winiff) to create this dataset, which is available at Github (https://github.com/mohaseeb/wisture). The dataset is created using an artificial traffic induction (between the phone and the access point) approach to enable useful and meaningful RSS values.
I.INTRODUCTION ANN artificial neural networks recover your reproducible sound and vision clarity as its low carbon energy using silicon wave the effect it produces near bomb devices is extremely affective to sensory nerves and site versioning of 32 feet.Net is useful for all societies across the world fighting against nuclear weapons its basically Cognitive Sciences integrated Computer Science seismic activity detection using its waves in Bluetooth. Devices as they are short haul waves for long distance communication.
Media-based modulation (MBM) is an attractive modulation scheme where
information bits are conveyed by digitally controlling the ON/OFF status
of radio frequency mirrors (which are parasitic elements) placed near the transmit antenna. The MBM alphabet (which is the set of channel fade
One important topic to work is to create a good set of malicious web characteristics, because it is difficult to find one updated and with a research work to support it .
One of the grand challenges in neuroscience is to understand the developing brain ‘in action and in context’ in complex natural settings. To address this challenge, it is imperative to acquire brain data from freely-behaving children to assay the variability and individuality of neural patterns across gender and age.
High-fidelity, physics-based multichannel radar data cube provided by the DARPA KASSPER project. This data is ideal for analyzing space-time adaptive processing (STAP) algorithms since both sample data and truth data are provided.
Recent advances in scalp electroencephalography (EEG) as a neuroimaging tool have now allowed researchers to overcome technical challenges and movement restrictions typical in traditional neuroimaging studies. Fortunately, recent mobile EEG devices have enabled studies involving cognition and motor control in natural environments that require mobility, such as during art perception and production in a museum setting, and during locomotion tasks.
We provide some programs and data which are helpful in studying whether there are 7-variable Boolean functions with third-order nonlinearity 22. They may be also helpful in studying r-order nonlinearity of n-variable functions.
## FEDERAL UNIVERSITY OF BAHIA (UFBA)
## ATYIMOLAB (www.atyimolab.ufba.br)
## University College London (UCL)
## Denaxas Lab (www.denaxaslab.org)
## Robespierre Pita and Clicia Pinto and Marcos Barreto and Spiros Denaxas
/*
@(#)File: $atyimo_dataset_info.txt$
@(#)Version: $v1$
@(#)Last changed: $Date: 2017/12/04 12:00:00 $
@(#)Purpose: Example data sets for the AtyImo data linkage tool
@(#)Author: Robespierre Pita and Clicia Pinto and Marcos Barreto
This data was collected as part of the Supplemental Material for Emerging Trends in Collaborative Modelling: A Survey paper. You can use the txt files on https://www.wordclouds.com/
Tested dataset of the paper "Is there a Robust Technique for Selecting Aspect Ratios in Line Charts?" by Yunhai Wang and Zeyu Wang et al. under the minor revision of IEEE TVCG.
Speech detection systems are known as a type of audio classifier systems which are used to recognize, detect or mark parts of audio signal including human speech. Here, a novel robust feature named Long-Term Spectral Pseudo-Entropy (LTSPE) is proposed to detect speech and its purpose is to improve performance in combination with other features, increase accuracy and to have acceptable performance. Experimental results show that if LTSPE is combined with other features, performance of the detector is improved.
In order to discriminate and mark audio signal segments which include normal human speech and discriminate segments which do not include speech (like silence, music and noise), Speech/Music Discrimination (SMD) systems are used. Using this definition, SMD systems can be considered as a specific or accurate type of speech activity detection system.
This dataset contains aerial images acquired with a medium format digital camera and point clouds collected using an airborne laser scanning (ALS) unit, as well as ground control points and direct georeferencing data. The flights were performed in 2014 over an urban area in Presidente Prudente, State of São Paulo, Brazil, using different flight heights. These flights covered several features of interest for research, including buildings of different sizes and roof materials, roads and vegetation.
wo kinds of improved SD algorithms for generalised spatial modulation (GSM), termed as the tree search SD (T-SD) and the path search SD (P-SD), are proposed to provide greater complexity reduction compared with the conventional SD algorithms by merging the repeating elements of the vectors. Simulation results show that the proposed T-SD and P-SD can reduce the complexity dramatically while maintaining the optimum bit-error-ratio(BER) performance, especially for high spectral efficiency GSM. Furthermore, P-SD breaks the limitation on the number of transmit antennas and receive antennas.
Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living).
The metaheuristic optimization algorithms are relatively the new kinds of optimization algorithms which are widely used for difficult optimization problems in which the classic methods cannot be applied and are considered as known and very broad methods for crucial optimization problems. Here, a new metaheuristic optimization algorithm is presented for which the main idea is extracted from a kind of motion in physics and is expected to have better results compared to other optimization algorithms in this field to present a novel method for achieving a more desirable point.
