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Efficacious, effective and efficient communication between healthcare professionals (HCP) and patients is essential to achieve a successful therapeutic alliance. Telemedicine (TM) has been used for decades but during the COVID‐19 pandemic its use has become widespread. This position paper aims to describe the terminology and most important forms of TM among HCP and patients and review the existing...
Background
Anaphylaxis, which is rare, has been reported after COVID‐19 vaccination, but its management is not standardized.
Method
Members of the European Network for Drug Allergy and the European Academy of Allergy and Clinical Immunology interested in drug allergy participated in an online questionnaire on pre‐vaccination screening and management of allergic reactions to COVID‐19 vaccines, and...
Allergy to insects of the family Tabanidae (order Diptera), commonly called horseflies or deerflies, is anecdotally common, although the published literature is limited to case reports and small case series. This review summarizes the available literature, in which there is enormous variability in clinical detail, identification of species or even genus, and means and thoroughness of assessment of...
This paper presents a method to detect small flooded areas from images which contain also vegetation zones. So, two classes are considered: flood class and vegetation. For the learning phase a supervised technique based on small patches is used. Based on efficiency analysis, the Histograms of Oriented Gradients on H colour channel and mean intensity on gray level are selected as discriminated features...
In this paper there are considered some applications arising from power engineering and involving hyperbolic equations of conservation laws. Focusing on the control of the flow in open channels, there is considered the linearized model and a Lyapunov functional is associated. A linear multivariable controller with saturation is synthesized to make the Lyapunov functional exponentially decreasing along...
This paper proposes a convolutional neural network architecture for blood vessel segmentation in retinal images. The network structure is designed on 7 layers using MatConvNet (three convolutional layers, two pooling layers, one dropout layer and a Softmax layer). The input data, selected from the DRIVE database, of the neural network is preprocessed in Matlab on Green channel. The retinal image was...
In this paper, we develop an methodology and corresponding algorithms that segments regions of interest like vegetation and flood from aerial images. To this end different textural features are used, particularly second order type (extracted from co-occurrence matrix — Haralick features) and histogram of oriented gradients (HOG). These features are calculated from image patches and the obtained values...
Large scale monitoring systems require reliable and efficient routing protocols used to overcome the limitations introduced by battery operated embedded devices, among which, energy consumption is considered the main concern. This topic has gained a lot of interest in the last decade. Due to numerous advantages, clustering is becoming more prevalent as a routing technology in WSN. This paper describes...
The paper presents a method for accurate detection and localization of important regions from retinal images like: optic disc, macula, exudates and hemorrhages. To this end, the image is locally decomposed in sub-images (patches) and then it is processed based on the fusion of different information types: first order statistics, textural, fractal and spectral. Two multilayer processing networks are...
The paper presents a new methodology for the detection and accurate localization of the optic disc in retinal images. Different color channels are investigated and, as a result, LBP histogram on Hue channel is combined with the information of intensity level on Green channel. The proposed algorithm is applied on overlapped patches, having a corresponding dimension, extracted from the retinal images...
This paper extends some previous work on trajectory generation for UAV (Unmanned Aerial Vehicles) using differential flatness in combination with B-splines parametrization. The originality of this work resides in the geometrical interpretations of the B-splines properties and their use in generating feasible flat trajectories for nonlinear UAV dynamics while ensuring continuous constraint validation...
Large scale monitoring systems require reliable and efficient in-network information extraction mechanisms able to effectively track events at the field level. The study of consensus algorithms for distributed data processing has gained a lot of interest in the last decade. Average consensus algorithms used for decentralized sensor fusion in wireless sensor networks, iteratively compute the global...
Traditional industrial systems have been designed to ne intrinsically safe by isolating their monitoring and control network. Considering the possible impact of a security attack, many plants today still choose to use this method to ensure maximum protection. At the same time, a separate trend observed in highly distributed applications like water management systems, is to centralize more local SCADA...
Surveillance applications require reliable monitoring system architectures and cost-efficient innetwork data processing mechanisms able to provide effective information extraction for event tracking. Wireless Sensor Networks (WSNs) appear to be the most suitable technology due to some well known benefits and the rapid development of embedded devices. Current research is mostly focused on improving...
This paper addresses the practical aspects of basic design for prototyping a MAS that will manage the control functions of onshore oilfield automation as services. The technologies used in IT and Automation are more and more the same and Service Oriented Architectures and Cloud Computing have been adopted in process control world. Remarkable works present or debate architectures and technologies for...
This article discusses the new IEC61850 Standard for Substation Automation, considering its functionalities, requirements, and definitions. It provides an application-oriented approach through the capabilities that the new tools and Intelligent Electronic Devices (IEDs) allow. The work highlights the importance of modern IEDs, emphasizing the main characteristics that these components must possess...
The 2017 18th International Carpathian Control Conference (ICCC) is the second conference of this series that is organized in Romania. The ICCC conferences are organized in cooperation with partner faculties and institutions from Slovakia, Czech Republic, Poland, Hungary, and Romania, since 2000. For more details on the previous conferences, please visit the website www.icc-conf.cz.
This work proposes a texture classification algorithm using three elements of fractal analysis: fractal dimension, lacunarity and succolarity. Beside other papers, the interconnection of fractal elements is taken into account as a texture classification factor. The three fractal analysis elements are presented in the paper and were implemented using Matlab. Fractal dimension spectrum, mean of lacunarity...
The paper refers to mathematical modelling of belt drying plants with several temperature zones. In general, drying plants have several temperature zones through which passes the material subjected to the drying process. Conveyor belt systems are commonly used in food and textile industry also in metallurgical and chemical plants or for coal preparation. Humidity of the conveyed material in the time...
By Huygens synchronization it is understood synchronization of the oscillators through their connecting “environment”. In the last years modeling and analysis of the dynamics of this phenomenon (in various forms) has received a renewed attention. Among the recently discussed models one can find synchronization of two mechanical Van der Pol oscillators coupled through a distributed parameters elastic...
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