Virtual and Remote Laboratories for E-Learning Using EDA Tools

Virtual and Remote Laboratories for E-Learning Using EDA Tool

Development and Hardware Implementation of IoT-Based Patrol Robot for Remote Gas Leak Inspection

The Internet of Things Robot (IoTR) is an emerging paradigm that brings together robotic systems with the Internet of Things (IoT) that connect sensors and smart objects pervasively embedded in everyday environments. With the recent developments in robotic system applications, it becomes apparent that the mobile robot has great importance in real-world applications such as navigation and surveillance. One of the most important applications of a mobile robot is patrolling and gas leak detection. This paper proposes a real-time IoT Robot (IoTR) that can be used indoors or outdoors for gas leak detection purposes. The proposed mobile robot is equipped with microphones, speakers, the hub of smart sensors that are necessary for patrolling and gas leak detection, a high-resolution IP video camera for live video streaming, Bluetooth for indoor applications and tracking, and GPS/GPRS for outdoor applications and tracking. The experimental testing of the preliminary prototype confirms the design objectives. The robot has been tested for indoor and outdoor modes; the robot can detect gas leakage and provides a live video streaming of the surrounding area, which can be tracked on Google maps. At the same time, the robot can be controlled remotely through a mobile app or website, the robot can move autonomously and avoid obstacles. The proposed work provides a low-cost IoT robot through the use of the available and cheap components and sensors, which featured a high quality at the same time. Our proposed system exhibits promising gas sensing performance in harsh environments, using intelligent gas sensors that have a fast response (>10s), low cost, high sensitivity, long life, robustness, and physical size

Programmable Control of Ultrasound Swarmbots through Reinforcement Learning

Powered by acoustics, existing therapeutic and diagnostic procedures will become less invasive and new methods will become available that have never been available before. Acoustically driven microrobot navigation based on microbubbles is a promising approach for targeted drug delivery. Previous studies have used acoustic techniques to manipulate microbubbles in vitro and in vivo for the delivery of drugs using minimally invasive procedures. Even though many advanced capabilities and sophisticated control have been achieved for acoustically powered microrobots, there remain many challenges that remain to be solved. In order to develop the next generation of intelligent micro/nanorobots, it is highly desirable to conduct accurate identification of the micro-nanorobots and to control their dynamic motion autonomously. Here we use reinforcement learning control strategies to learn the microrobot dynamics and manipulate them through acoustic forces. The result demonstrated for the first time autonomous acoustic navigation of microbubbles in a microfluidic environment. Taking advantage of the benefit of the second radiation force, microbubbles swarm to form a large swarm, which is then driven along the desired trajectory. More than 100 thousand images were used for the training to study the unexpected dynamics of microbubbles. As a result of this work, the microrobots are validated to be controlled, illustrating a good level of robustness and providing computational intelligence to the microrobots, which enables them to navigate independently in an unstructured environment without requiring outside assistance

Kinetics of the electropolymerization of aminoanthraquinone from aqueous solutions and analytical applications of the polymer film

AbstractPoly 1-amino-9, 10-anthraquinone (PAAQ) films were prepared by the electropolymerization of 1-amino-9,10-anthraquinone (AAQ) on platinum substrate from aqueous media, where 5.0×10−3molL−1 AAQ and 6.0molL−1 H2SO4 were used. The kinetics of the electropolymerization process was investigated by determining the change of the charge consumed during the polymerization process with time at different concentrations of both monomer and electrolyte. The results have shown that the process follows first order kinetics with respect to the monomer concentration. The order of the reaction with respect to the aqueous solvent i.e. H2SO4 was found to be negative. The polymer films were successfully used as sensors for the electroanalytical determination of many hazardous compounds, e.g. phenols, and biologically important materials like dopamine. The electroanalytical determination was based on the measurements of the oxidation current peak of the material in the cyclic voltammetric measurements. The cyclic voltammograms were recorded at a scan rate of 100mVs−1 and different analyte concentrations. A calibration curve was constructed for each analyte, from which the determination of low concentrations of catechol and hydroquinone (HQ) as examples of hazardous compounds present in waste water and also for ascorbic acid and dopamine as examples of valuable biological materials can be achieved

Multimodality imaging of Abernethy malformation

Abernethy malformation, or congenital extrahepatic portosystemic venous shunt, is a rare anomaly involving the portal venous system. Despite its rarity, it is increasingly being reported, and therefore, it is important to diagnose given the potential adverse clinical consequences if left untreated. It has a spectrum of presentations, ranging from complete lack of symptoms, to causing hepatic carcinoma, hepatic encephalopathy, severe pulmonary hypertension, and diffuse pulmonary arteriovenous malformation. We herein describe the case and echocardiographic, computed tomography, and magnetic resonance imaging findings of a transgender individual, with this anomaly detected incidentally during adulthood

Supraventricular tachycardia and catheter ablation: Anxiety levels and patient perceptions

Aim: To investigate anxiety levels and patient perception associated with supraventricular tachycardia (SVT); investigate anxiety levels and patient perception pre- and post- radiofrequency catheter ablation (RFCA); and explore any association between anxiety and patient perception with patient age and gender.Design: Follow-up quantitative and qualitative cohort study. 141 patients in a tertiary centre in Scotland who underwent an electrophysiological study and RFCA for atrioventricular nodal re-entrant tachycardia, atrioventricular re-entrant tachycardia or atrial tachycardia between 2009 and 2012 were enrolled. 59 (41.8%) were male; mean age at follow-up was 50 years.Interventions: Follow-up by structured phone questionnaire; mean follow-up period was 14 months. Main outcome measures: Anxiety level and patient perception during index episode, and anxiety level before and after RFCA.Results: During index episode, median patient anxiety, on a scale of 0–10, was 8. Anxiety was not associated with gender (p = 0.07). Patients in the lowest and highest anxiety groups tended to be older (mean 54.5 and 44.4 years respectively) compared with those in the middle 2 groups (mean 34.1 and 35.6 years). There was an association between anxiety and age (p = 0.039). 45 (32.0%) participants thought they were having a heart attack or dying. Before RFCA, median anxiety level was 7. 55 (39.0%) patients were afraid of complications, 21 (14.9%) patients feared being awake during RFCA. After RFCA, median anxiety was 2.5.Conclusions: Anxiety is a common accompaniment to SVT that may lead to greater pre-procedural anxiety. Exploring this link may allow reduction of anxiety via better psychopharmacological intervention, education, and preprocedural counselling

Feasibility of some adaptation measures of on-farm irrigation in Egypt under water scarcity conditions

-------------------------------------------------- To cite th is article / Pou r citer cet article Abstract. The aim of this investigation is to evaluate some proposed adaptation measures in order to overcome the projected impacts of climate change over on-farm irrigation system in Egypt. Improve irrigation systems efficiencies, change irrigation systems, and deficient irrigation were evaluated by using multi-criteria approach of evaluation. Adaptation measures were studied under current climate conditions and climate change projections of IPCC SRES scenarios for years 2025s, 2050s and 2100s, and evaluated regarding to the change in crop-water demands, change in crop-yield, change in water use efficiency, irrigation-energy requirements and the abetment cost. Improving surface irrigation efficiency was likely had a higher potentiality to overcome the negative impacts of climate change in old land. Deficit irrigation had negative effects on overcoming the impacts of climate change, but it could be acceptable for the conditions that the water saving is more important than crops reduction. Keywords. Improved surface irrigation -Climate change -Irrigation efficiency -Deficit irrigation -Irrigation energy. Faisabilité de certaines mesures d'adaptation d'irrigation à la ferme e

Modeling Method of Finite Element Modeler and Electromagnetic Solvers for Education and Research in RF MEMS

Field of electronics engineering is the most captivating among students, researchers and academicians now-adays. With the passage of time the requirement of advance tools for engineering is increasing. Many institutions and universities around the globe provide quality education to various engineering domain. Students although study theory courses but they also need exposure that how theory can be related to actual devices. Simulations play an important role for relating theoretical components to the virtual practical environment. Students of Radio Frequency (RF) domain and especially students that are studying Microelectromechanical Systems (MEMS) as courses, due to the extreme complexity of these devices, students need multiple tools to simulate the performance parameters. This paper highlights the most prominent tools that are used in the industry to design and implement RF MEMS structures. The role of Electromagnetic (EM) solvers and Finite Element Modeller (FEM) and its impact on electronics engineering education is demonstrated. Modeling approach of these tools are also explained. These tools and due to there huge advantages, electronics graduates should study these tools in their course curriculum to know how to tackle various types of RF problems and through case studies, it is demonstrated that how these tools can aid shift from just theoretical study to virtual practical environment