Search

International audience; The paper presents the SEAWALL platform enabling heterogeneous data acquisition and low-latency processing for the Industry 4.0, developed within the homonymous project founded by the Italian BIREX industrial consortium. The architecture features cutting-edge technologies (such as Kubernetes, ISTIO, KubeEdge, W3C WoT), in order to support the seamless orchestration of workloads among the nodes of a cloud-edge continuum in QoS-aware scenarios where the latency requirement of the anomaly detection must be continuously assessed. The paper presents the industrial use-case from the SEAWALL project and the components of the cloud/edge architecture.

The integration of automation processes and resources in vehicles used for human mobility has been happening in a continuous and systematic way. Historically, it is possible to observe that the pilot's involvement in the execution of the flight activities has been reduced proportionally in relation to the increase of resources and automation systems in the cockpit. At the beginning of this transfer process, automation was used for simple tasks that required great physical effort, speed or precision in execution. Later, automation started to be used also trying to replace more complex functions related to the pilot's sensory, cognitive and decision-making abilities. In this phase, however, the transfer of tasks between pilot and automation is no longer a linear process, in the sense that a significant increase in automation resources in the cockpit is now required for small reductions in pilot involvement. Based on these observations, this article proposes the definition of an adequate logical infrastructure to serve as a tool for the design and implementation of logical solutions for advanced vehicle automation. The intention is that this logical infrastructure, here named Vehicle Automation Framework, or VFA, offers a flexible and structured environment with the capacity to support the development of high-level automation solutions, up to the limit of vehicle autonomy. This logical framework presents an architecture formed by two independent and overlapping logical layers, where one layer is dedicated to the hosting of programmable vehicle control functions, while the other layer houses supervision and decision support functions.

Several recent studies have considered the relationships among quality of life, social adaption, anxiety, depression, and psychological distress in pandemics. A primary aim of the current study was to explore the relationships among the aforementioned psychological dimensions and worries about Covid-19. Furthermore, we aim to highlight the features of young people potentially at risk of psychological distress during the pandemic. The assessment was conducted by a web-based survey, useful in preserving individuals’ health against the virus circulation. 185 young individuals (under 30 years old), residing in Sardinia (an Italian island characterized by low indices of virus circulation) participated to the survey completing five questionnaires (RDI, STAS, STAI, WHOQOL, SASS) and a group of items inquiring the knowledge and the worries about pandemic. By the application of linear correlations, principal component analysis, cluster analysis and discriminant analysis, we highlighted the role played by each dimension on participants’ self-reported well-being; moreover, we identified four clusters of subjects with different psychological reactions in pandemic as well as the groups of people with higher risk of distress. The suggestions of these results regarding current research trends and clinical opportunities are debated.

Scientific literature has shown how people with ADHD, subjects with High Potential, and with High Levels of Creativity share the same behavioral and cognitive patterns, especially related to some aspects associated with executive functions, such as attentional disorders, impulsivity, and inhibitory control deficit. Several studies have shown how it is possible to improve executive functions by regulating the neuronal activity of the Prefrontal Area. Other researches have obtained equally interesting results through the use of cognitive training and video games, as well as the aim of motivating children and adolescents. This paper presents a clinical case of a high potential adolescent treated through the use of cognitive training with tDCS. The treatment consisted of the use of tDCS associated with cognitive training for 12 sessions. Cognitive battery before starting treatment and at the end of treatment, and trials on executive functions before and after each training session, where administered. The results show an improvement in the cognitive battery and the trials of executive functions, especially in the second part of the training. The results obtained in this work demonstrate how the use of training, associated with tDCS neurostimulation, represents a useful and functional treatment for people with High Potential. The protocol proposed here also lies in the possibility of being used remotely and without the presence of the operators, overcoming the limits of traditional methods.

Research in the field of pathological addictions has shown how the need and the search for substance are maintained or exacerbated by environmental stimuli linked to the substance (trigger), that determine the state of craving. Many studies consider the craving as a conditioning response, i.e. an active behavior in search of the substance.The resulting obsessive behavior, linked to the search for substance, would be automatic and unavoidable and determined by the subject’s impulsiveness and inability to control himself, feeding the cycle of relapses. Several studies have shown how it is possible to reduce the need for craving and increase inhibitory control and self-control through neurostimulation with tDCS directed to the Prefrontal Area and the inferotemporal cortex. Other studies have obtained promising results in this area through specific training, using, for example, the Modified Attentional Bias paradigm.This paper presents an example of a treatment that uses neurostimulation with tDCS together with training based on Modified Attentional Bias on a subject with cocaine addiction. After 20 neurostimulation sessions with tDCS and executive function training, the results show a reduction in craving and impulsivity levels between before and after treatment. Demonstrating the effectiveness of the proposed intervention. These results show how the use of training based on Modified Attentional Bias, combined with neurostimulation, represents an excellent treatment tool for addictions.The potential of the proposed treatment also consists of its possibility of being self-administered and carried out even in the absence of an operator, based on a remotely planned and supervised treatment program.

By supporting smart cities and smart railways, India is heading in a smart direction now-a-days, we have taken a small initiative in this aspect by introducing an innovation in the Indian railway system in the domestic railway platform. The goal for this innovation is to resolve few issues faced by physically disabled individuals and senior citizens while crossing the bridge between the two railway platforms by foot. A updated smart platform is suggested on paper to solve this problem. The Smart Platform on the side of the Crossing Point Platform is interested in the railway tracks. The Smart Platform will open when there is no train arriving at the station. The smart interface can be used for visually disabled people to cross between platforms. On both sides of the road, proximity sensors and the camera unit are configured. If the train hits one sensor, the signals will be transmitted to the camera unit, the image will be captured further by the camera, and the CNN algorithm will decide whether the image captured is some other image of the train. The virtual platform works on the basis of this performance. If the captured image is of a train, the smart platform will then close and allow the trains to go through the tracks, and the smart platform will open automatically between the platforms when the train leaves the second sensor. The train entering the railway stations will be announced and demonstrated by LED signals in a voice system. The proposed system provides the best response without using foot over bridge for the travel of physically disabled people from one platform to another platform.

Fire environments are dangerous and constantly changing. Although fire fighting is an extremely hard task, it is still carried by human operations to rescue and protect the victims. In order to help people; machine tools the robotic architecture has become extremely important. Fire protection robot is therefore intended to assist individuals using autonomous system in any damaging burned situation. The use of various sensors like ultrasonic, fire, smoke and motion sensor increases the robot capabilities. The gripper is mounted onto the robot to clear the obstacles on the way of the victims. The use of IP camera improvised the robot functionality by providing bi-directional communication between the controlling area and the burnt area. The robot is further improvised using BLYNK application which is linked to the microcontroller ESP32 via Wi-Fi SoC to provode alert message to the person on duty and to the residents.

The surface wave communication-based wave-guide best suits for inter chip communication in replacement to the copper traces due to its efficacy in dealing with the losses mitigation at higher frequency ranges. The design of such waveguide requires the consideration of field confinement which defines the intensity of the field concentration at the interface of conductor and dielectric of the surface wave based wave-guide. This article explains the analytical view in choosing the right materials of conductor and dielectric for the wave guide construction in terms of field confinement. The higher field confinement outcomes the lesser dispersion which considered as the important factor for losses suppression. Several conductor and dielectric materials have been analyzed in terms of high field confinement levels at 0.5μm and l.2μm wavelengths establishing high frequency mode. The outcome of the analysis comes with aluminum and glass combination possess high field confinement in terms of γ/α d ratio as 53 for l.2μm and 14.04 for 0.5μm. This also proves that the field confinement for extensive losses reduction increases with the increased propagation frequency.

Climatic changes have an adverse effect on certain factors of nature like temperature, humidity, rainfall etc. Also, because of convective activity, there is more rainfall in certain areas during monsoon seasons which might flood the areas near rivers or dam. Another reason for flood is cyclone. While cyclones appear to be natural calamities, they are in essence required by nature to maintain the balance of temperature. It is when the oceans become warm that cyclones form to cool them down. Our activities which are distorting the balance of nature, we can expect more inclement weather, stronger storms to form. Climate change is real and must seriously paid attention to. In the end, it is all about balance and our relationship with nature. This paper deals with proactive measures taken to not be affected by flood and hence give precaution to common man. Updates about the current weather and different parameters that are related to water is continuously monitored. This paper also incorporates communication of the information collected effectively by using ESP32 microcontroller, GSM and IoT (Blynk).

IoT and Cloud computing is becoming more in demand nowdays due to advancement in its technology. Most of the fuel stations these days are operated manually which are time consuming and require more manpower. It is very difficult and costly to provide excellent facility to the consumers in a fuel station present in a distant area. All these problems can be solved by the use of the proposed project. This paper presents the design and implementation of a smart e-fuel station using IoT technology in which the system is capable of deducting the amount of petrol dispensed from a user based card using RFID technology and measure the level of fuel in the station and upload it to the cloud server. This cloud server is only accessible to the admin. If the fuel level is low then the main station will provide the fuel to that station. Everything is getting automated in today’s world.

The presented methodology is to monitor endlessly cracks in tracks, obstacles on rail tracks and any other train running on the same track oppositely by using sensors. When identified, the device will send an alert to the driver to prevent the accidents. The flame sensor detects it and sends a signal to the microcontroller and driver when the train compartment catches fire, then triggers the servo motor to disconnect the compartments. With the help of this paper we try to overcome few of the issues in railways as well as modernize the compartment.

This complete article, from the research to practice category, presents an experiment carried out combining two models used to evaluate student skills, ELO Multidimensional and M-ERS. The objective of this experiment is to estimate and map the history of their multiple skills, in that way it was carried out incorporating the characteristic of the Multidimensional ELO - to track the history of multiple skills, and M-ERS - to estimating multiple skills that can be compensatory. To validate the experiment, we used a database composed of user submissions from an Online Judge platform from Brazil. Through the experiment results obtained, we concluded that for online programming problems platforms, the combination of both models proved to be satisfactory, through it was possible to map and observe the evolution of student’s multiple skills.

Impulsivity represents one of the risk factors strongly related to dependent behavior in subjects with a diagnosis of substance dependence. The risk appetite, in particular, represents a construct connected with other components such as jumping to conclusion and risk taking.There are several forms of treatment used with subjects who have problems related to impulsivity. A good part of these is aimed at subjects with ADHD (Attention Deficit Hyperactivity Disorder), in the form of training or exercises implemented on software. This work aims to evaluate the use of training for concentration, attention and meditation on reducing risk appetite. The experimental design, of a pre-post type, involves assessing the risk appetite before and after training, to be carried out in six sessions over two weeks. The comparison between the experimental group and the control groups showed significant efficacy in reducing the levels of impulsivity in subjects with addiction.This work represents a pilot study on the possible use of meditation, concentration, and training exercises and demonstrates how these can be considered as excellent forms of training for the reduction of impulsiveness and risk appetite, showing their feasibility in the contexts of intervention and cure for addictions.

This study investigates the role of knowledge about probability on probabilistic reasoning applied in a health scenario. A total of 594 undergraduates attempted to solve a probabilistic problem regarding healthiness; they were distinguished on the basis of their previous curricula and assessed in relation to a set of individual dimensions (confidence in the correctness of their response, statistical anxiety, numerical and visuo-spatial abilities) and a contextual feature (time pressure). No differences in the occurrence of correct/incorrect answers were discovered in participants with/without knowledge about probability. The participants without knowledge showed a confidence in the correctness of their response higher than that of their colleagues with previous knowledge. Network analysis was applied to investigate all dimensions under inquiry. Findings provide evidence regarding the positive connections between knowledge and correctness and between confidence and correctness. Regarding the practical and applicative issues, outcomes support the idea that it could be of great utility to devise programs to promote well-being and public health by the development of ad hoc educational strategies devoted to support confidence in one's ability to solve problems and to enhance uncertainty tolerance.

The spreading of video games by adolescents and young adults is increasingly leading to the development of forms of addiction, such as addiction to the internet and video games.The aim of this work is to detect the risk of addiction on a sample of teenagers and young adults - who were asked to complete an online test. The interest was also to detect possible correlations with factors such as coping strategies and the resilience of the interviewees.130 people, including teenagers and young adults, were given an ad hoc questionnaire on video game addiction, the RSA (Resilience Scale for Adults) for the measurement of resilience, and the COPE-NVI (Coping Orientation to Problems Experienced) for the measurement of the coping profile of the subjects.Significant correlations were found between the questions in the video game addiction questionnaire with coping strategies and resilience. In particular, a negative relationship emerged with strategies on avoidance, and positive with adaptive strategies and positive resources.