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Obstacle Detection as a Safety Alert in Augmented Reality Models by the Use of Deep Learning Techniques.

Sensors (Basel, Switzerland)
Augmented reality (AR) is becoming increasingly popular due to its numerous applications. This is especially evident in games, medicine, education, and other areas that support our everyday activities. Moreover, this kind of computer system not only ...

Tele-Manipulation with Two Asymmetric Slaves: Two Operators Perform Better Than One.

IEEE transactions on haptics
Certain tele-manipulation tasks require manipulation by two asymmetric slaves, for example, a crane for hoisting and a dexterous robotic arm for fine manipulation. It is unclear how to best design human-in-the-loop control over two asymmetric slaves....

Network Location-Aware Service Recommendation with Random Walk in Cyber-Physical Systems.

Sensors (Basel, Switzerland)
Cyber-physical systems (CPS) have received much attention from both academia and industry. An increasing number of functions in CPS are provided in the way of services, which gives rise to an urgent task, that is, how to recommend the suitable servic...

A robotic system for delivering novel real-time, movement dependent perturbations.

Gait & posture
Perturbations are often used to study movement control and balance, especially in the context of falling. Most often, discrete perturbations defined prior to the experiment are used to mimic external disturbances to balance. However, the largest prop...

Optimal Parameter Selection for Support Vector Machine Based on Artificial Bee Colony Algorithm: A Case Study of Grid-Connected PV System Power Prediction.

Computational intelligence and neuroscience
Predicting the output power of photovoltaic system with nonstationarity and randomness, an output power prediction model for grid-connected PV systems is proposed based on empirical mode decomposition (EMD) and support vector machine (SVM) optimized ...

Cellular computational generalized neuron network for frequency situational intelligence in a multi-machine power system.

Neural networks : the official journal of the International Neural Network Society
To prevent large interconnected power system from a cascading failure, brownout or even blackout, grid operators require access to faster than real-time information to make appropriate just-in-time control decisions. However, the communication and co...

Performance of an insect-inspired target tracker in natural conditions.

Bioinspiration & biomimetics
Robust and efficient target-tracking algorithms embedded on moving platforms, are a requirement for many computer vision and robotic applications. However, deployment of a real-time system is challenging, even with the computational power of modern h...

Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties.

Scientific reports
Real-time estimation of dynamical characteristics of thalamocortical cells, such as dynamics of ion channels and membrane potentials, is useful and essential in the study of the thalamus in Parkinsonian state. However, measuring the dynamical propert...

Neuro-Analogical Gate Tuning of Trajectory Data Fusion for a Mecanum-Wheeled Special Needs Chair.

PloS one
Trajectory tracking of mobile wheeled chairs using internal shaft encoder and inertia measurement unit(IMU), exhibits several complications and accumulated errors in the tracking process due to wheel slippage, offset drift and integration approximati...

Delayed Monocular SLAM Approach Applied to Unmanned Aerial Vehicles.

PloS one
In recent years, many researchers have addressed the issue of making Unmanned Aerial Vehicles (UAVs) more and more autonomous. In this context, the state estimation of the vehicle position is a fundamental necessity for any application involving auto...