Search results for " Network"
showing 10 items of 6428 documents
Chasing Metaverses: Reflecting on Existing Literature to Understand the Business Value of Metaverses
2022
AbstractMetaverses refer to immersive virtual worlds in which people, places, and things of the physical world are represented by their digital representations. The wide adoption of metaverses is expected to widely disrupt the way we interact in the virtual world by elevating our online interactive experiences and bringing a plethora of implications for businesses. Following a structured literature review of related research published in the last decade, we shed light on our current understanding of metaverses and reflect on the potentially transformative value of metaverses for businesses in the near future. We draw on an established research framework to organize the insights of existing …
Online Deflection Compensation of a Flexible Hydraulic Loader Crane Using Neural Networks and Pressure Feedback
2022
The deflection compensation of a hydraulically actuated loader crane is presented. Measurement data from the laboratory are used to design a neural network deflection estimator. Kinematic expressions are derived and used with the deflection estimator in a feedforward topology to compensate for the static deflection. A dynamic deflection compensator is implemented, using pressure feedback and an adaptive bandpass filter. Simulations are conducted to verify the performance of the control system. Experimental results showcase the effectiveness of both the static and dynamic deflection compensator while running closed-loop motion control, with a 90% decrease in static deflection.
Forward Kinematic Modelling with Radial Basis Function Neural Network Tuned with a Novel Meta-Heuristic Algorithm for Robotic Manipulators
2022
The complexity of forward kinematic modelling increases with the increase in the degrees of freedom for a manipulator. To reduce the computational weight and time lag for desired output transformation, this paper proposes a forward kinematic model mapped with the help of the Radial Basis Function Neural Network (RBFNN) architecture tuned by a novel meta-heuristic algorithm, namely, the Cooperative Search Optimisation Algorithm (CSOA). The architecture presented is able to automatically learn the kinematic properties of the manipulator. Learning is accomplished iteratively based only on the observation of the input–output relationship. Related simulations are carried out on a 3-Degrees…
Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines
2022
Industrial revolution 4.0 has enabled the advent of new technological advancements, including the introduction of information technology with physical devices. The implementation of information technology in industrial applications has helped streamline industrial processes and make them more cost-efficient. This combination of information technology and physical devices gave birth to smart devices, which opened up a new research area known as the Internet of Things (IoT). This has enabled researchers to help reduce downtime and maintenance costs by applying condition monitoring on electrical machines utilizing machine learning algorithms. Although the industry is trying to move from schedu…
Anomaly Detection in Traffic Surveillance Videos Using Deep Learning
2022
In the recent past, a huge number of cameras have been placed in a variety of public and private areas for the purposes of surveillance, the monitoring of abnormal human actions, and traffic surveillance. The detection and recognition of abnormal activity in a real-world environment is a big challenge, as there can be many types of alarming and abnormal activities, such as theft, violence, and accidents. This research deals with accidents in traffic videos. In the modern world, video traffic surveillance cameras (VTSS) are used for traffic surveillance and monitoring. As the population is increasing drastically, the likelihood of accidents is also increasing. The VTSS is used to detect abno…
Investigation of data encryption impact on broadcasting visible light communications
2014
Este trabajo investiga el impacto de la encriptación y desencriptación de datos en un sistema de comunicaciones de luz visible (VLC) de difusión en interiores incrustado en la capa física. Se ha implementado el cifrado RSA para proporcionar una transmisión de datos segura en la capa física. El artículo muestra el rendimiento de la tasa de error de bits (BER) para los sistemas VLC seguros y no seguros (8 y 12 bits) para velocidades de datos de 2 y 12 Mbps. Para una BER de 10e-4 mostramos que hay penalizaciones de potencia de 2-4 dB con las VLC seguras. También se investiga el impacto de la longitud de la clave en la propagación del error y la penalización de potencia. EU Cost Action IC1101 T…
Josephson Traveling Wave Parametric Amplifiers as Non-Classical Light Source for Microwave Quantum Illumination
2021
Abstract Detection of low-reflectivity objects can be enriched via the so-called quantum illumination procedure. In order that this quantum procedure outperforms classical detection protocols, entangled states of microwave radiation are initially required. In this paper, we discuss the role of Josephson Traveling Wave Parametric Amplifiers (JTWPAs), based on circuit-QED components, as suitable sources of a two-mode squeezed vacuum state, a special signal-idler entangled state. The obtained wide bandwidth makes the JTWPA an ideal candidate for generating quantum radiation in quantum metrology and information processing applications.
Sociālo tīklu kā mārketinga instrumenta izmantošana
2015
Maģistra darba „Sociālo tīklu kā mārketinga instrumenta izmantošana” mērķis ir, pamatojoties uz sociālo tīklu mārketinga analīzi, uzņēmumu un sociālo tīklu lietotāju novērtējuma, izpētīt vai sociālie tīkli ietekmē patērētāju viedokļus un vai ar to palīdzību ir iespējams piesaistīt jaunus un lojālus klientus. Maģistra darbs sastāv no ievada, četrām nodaļām, secinājumiem un priekšlikumiem. Pirmajā nodaļā tika apskatīta teorētiskā bāze un sociālo tīklu pielietošana pasaulē un Latvijā. Otrajā nodaļā tika analizētas sociālo tīklu izmantošanas iespējas mārketingā. Trešajā nodaļā tika analizētas uzņēmumu lapas sociālajos tīklos. Ceturtajā nodaļā ir veikts uzņēmumu un sociālo tīklu lietotāju pētīju…
Sociālie tīkli kā produkta virzīšanas un pārdošanas rīks augstskolu izvēles kontekstā.
2019
Bakalaura darba tēma ir “Sociālie tīkli kā produkta virzīšanas un pārdošanas rīks augstskolu izvēles procesā”. Darba mērķis ir, balstoties uz teorijas atziņām par sociālajiem tīkliem un veiktās aptaujas rezultātiem, novērtēt sociālos tīklus kā mārketinga instrumentu un tā efektivitāti augstskolu izvēles veiksmīgai virzīšanai, atklāt nepilnības un sniegt priekšlikumus to novēršanai Darbs sastāv no 3 nodaļām. 1. nodaļā ir raksturoti sociālie tīkli mārketinga kontekstā kā virzīšanas instruments un tā teorētiskie aspekti. 2. nodaļā ir analizēti pieejamie statistikas dati par sociālo tīklu lietošanas tendencēm, kā arī par augstskolu jau esošajām mārketinga aktivitātēm sociālajos tīklos. Darba tr…
Pressure Dependence of the Band Gaps and Charge Densities in Si
1994
The empirical local and nonlocal pseudopotentials of Si which can describe the electronic energy structure over a wide energy range of more than 20 eV from the bottom of the valence band is determined for different pressures. The nonlocality of the potential is described by the Gaussian model. The predictions for the linear and quadratic pressure coefficients are consistent with the experiment. The valence charge densities of Si under high pressure are studied. The forbidden X-ray factor F(222) is very stable under pressure and changes by less than 3% under volume changes of the order of 5%.