This paper proposes the solution of tasks set required for autonomous robotic group behavior optimization during mission on a distributed area in cluttered hazardous terrain. The navigation scheme uses benefits original real-time technical vision system (TVS) based dynamic triangulation principle. method TVS output data with fuzzy logic rules processing resolution stabilization. Based previous researches, communication network model is modified to implement propagation information feedback...

Nowadays, increasing air-pollution levels are a public health concern that affects all living beings, with the most polluting gases being present in urban environments. For this reason, research presents portable Internet of Things (IoT) environmental monitoring devices can be installed vehicles and send message queuing telemetry transport (MQTT) messages to server, time series database allocated edge computing. The visualization stage is performed cloud computing determine city...

Agricultural production is on most countries' national agenda because climate change affects crops, fruits, vegetables, and insect infestation. Therefore, achieving maximum results a challenge faced by professional growers, who have seen greenhouses as very good option to guarantee these results. By using new technologies inside greenhouses, farmers can reduce the damaging effect of insects plants improve indoor cultivation through control. However, efficiently manage agricultural fields...

Most machine learning proposals in the Internet of Things (IoT) are designed and evaluated on pre-processed datasets, where data acquisition cleaning steps often considered a black box. In addition, IoT environments have numerous challenges related to acquiring from sensors, sensitive can be threatened by malicious users who seek interfere with communication channel or storage. Additionally, sensor also affected noise. Therefore, differentiating type threat/anomaly requires additional energy...

Internet of Things (IoT) and Edge devices have grown in their application fields due to Machine learning (ML) models capacity classify images into previously known labels, working close the end-user. However, model might be trained with several convolutional neural network (CNN) architectures that can affect its performance when developed hardware-constrained environments, such as: devices. In addition, new training trends suggest using transfer techniques get an excellent feature extractor...

Important engineering constructions require geometrical monitoring to predict their structural health during lifetime. Monitoring by geodetic devices, vibration-based techniques, wireless networks or with GPS technology is not always optimal; sometimes it impossible as shown in this article. A method based on measurements automation applying local optical scanners for proposed. Its originality and contribution the novel of precise measurement plane spatial angles. It considers robust...

In this paper, we propose a low-cost contact-free measurement system for both 3-D data acquisition and fast surface parameter registration by digitized points. Despite the fact that during last decade several approaches techniques aimed at carrying out object recognition have been proposed, they often still require complex expensive equipment. Therefore, alternative low cost solutions are in great demand. Here, two to above-mentioned problem presented. These examples of practical...

In this paper, a novel method of frequency counting signals coming from automotive sensors is presented. The present helps to improve fast resolution output parameters typical frequency-domain (FDS). Controlling the electromechanical systems in today's cars task that requires high processing speed. proposed here has been tested under computer experiments, and theoretical results have shown it meets requirements speed response offset error measurement. Here, both principle rational...

Ensuring the security and privacy of computation data management in cloud edge is an ever-important requirement. There are several working solutions today for trusted computing with general purpose processors, instance, Intel SGX ARM TrustZone. However, widespread commercial adoption specialized hardware accelerators at edge, most importantly FPGAs, two questions emerge: 1) How secure they against threats? 2) could FPGAs be utilized more efficient computing? In this survey, we investigate...

Load cells are transducers used to measure force or weight. Despite the fact thatthere is a wide variety of load cells, most these that in weighingindustry based on strain gauges. In this paper, an s-beam cell gaugeswas suitably assembled mechanical structure several seats bus underperformance tests and resistance their tensionforces applied horizontally being tested. The was buried broad-band noise background where unwanted information relevant signal sometimesshare very similar frequency...

In this letter, nonparametric statistical inference is applied to designing a simple, inexpensive method of verifying the power performance wind turbine. The proposed uses data collected by Supervisory Control and Data Acquisition (SCADA) system guaranteed curve turbine, it says whether turbine differed significantly from what would be expected.

In this paper we presented the new algorithm for pixelization of astronomical data in celestial sphere. This is used partition and analysis large catalogues that contain up to billion objects. The proposed can be applied indexing objects positions allows quick search databases. results indexed by different consumers such as robotic telescopes, ground flying robots need guidance, navigate even track situation problems sphere pixels methods are also described paper.

One of the biggest challenges computers is collecting data from human behavior, such as interpreting emotions. Traditionally, this process carried out by computer vision or multichannel electroencephalograms. However, they comprise heavy computational resources, far final users where dataset was made. On other side, sensors can capture muscle reactions and respond on spot, preserving information locally without using robust computers. Therefore, research subject recognition six primary...

This paper presents a technical vision system designed to resolve multiple tasks which are fundamental for autonomous navigation. These include detecting the presence of significant obstacle mobile robot, locate its position in robot's field view and create digital map obstacle's visible surface with metrological accuracy. has been introduced explained other publications; therefore this focuses mostly on signal conditioning, processing resolution increase robot

The presented Technical Vision System realizes the principle of dynamic triangulation. This technique is able to resolve in real time a triple task: detect presence significant obstacle robot's neighborhood; locate its position field-of-view; obtain short digital map visible surface with metrological accuracy coordinates and adjustable step discretization. Some aspects theoretical backgrounds, technical design, optical principle, mathematical framework, signal processing, prototype design...

In this article, parametric and nonparametric statistical inference analysis of a set the measurements air pollution because PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2.5</sub> concentrations was performed. The research work carried out in an urban park Quito, Ecuador. Specifically, that chosen to perform La Carolina Park. here aimed at obtaining models for parts under study some its border streets. Furthermore, streets were modeled as...

In this paper, a frequency-domain least-mean-square adaptive filter is used to cancel noise in wheel speed sensor embedded car under performance tests. case the relevant signal buried broad-band background, where we have little or no prior knowledge of characteristics. The results experiments show that interest and (all forms interference, deterministic, as well stochastic) share same frequency band significantly reduced corrupting information from while it left true unchanged practical...

In the present paper, in order to estimate response of both a wheel speedsensor and an accelerometer placed car under performance tests, robust optimalmultivariable estimation techniques are used. this case, disturbances noisescorrupting relevant information coming from sensors’ outputs so dangerous thattheir negative influence on electrical systems impoverish general thecar. short, solution problem is safety related that deserves our fullattention. Therefore, diminish effects noiseson car’s...

The main contribution of this paper is that a novel method verification the statistical performance electronic circuits have been specifically designed to analyze power quality proposed. based on Wilcoxon signed-rank test and Levene test, which are nonparametric inference techniques, it establishes relation exists between measurement results obtained using reference instrument circuit under test. In addition, says whether device differs significantly from what would be expected. Finally, in...