Five Level Flying-Capacitor Multilevel Converter Using Dynamic Voltage Restorer (DVR)

This paper deals with dynamic voltage restorer (DVR) controlled by a five-level flying-capacitor multi level converter. To decrease the power-quality disturbances in distribution system, such as voltage imbalances, harmonic voltages, and voltage sags. The organisation of this paper has been divided into three parts; the first one eliminates the modulation high-frequency harmonics using filter increase the transient response. The second one deal with the load voltage; and the third is flying capacitors charged with balanced voltages. The MATLAB simulation results effectively for five level flying capacitor multilevel converters charged with balanced voltage regulation

Body Area Networks

Recent technological advances in integrated circuits, wireless networks, and physiological sensing have enabled miniature, lightweight, low power, intelligent monitoring devices to be integrated into a Body Area Network (BAN). This new type of technology hold much promise for future patient health monitoring. BANs promise inexpensive, unobtrusive, and unsupervised ambulatory monitoring during normal daily activities for long periods of time. However, in order for BANs to become ubiquitous and affordable, a number of challenging issues must be resolved, such as integration, standardisation, system design, customisation, security and privacy, and social issues. This paper presents an overview of many of these issues and indeed the background and rationale of body area networks

Radiogenic heat production of Late Archaean Bundelkhand granite and some Proterozoic gneisses and granitoids of Central India

Abundances of heat-producing elements, K, U and Th, in some of the granites and gneisses of the Bundelkhand and Bastar terrains have been estimated by in situ gamma-ray spectrometry. The Bundelkhand granite is an I-type, calc-alkaline granite complex made up of porphyritic, coarse-to-medium grained and fine-grained granites. It carries macro enclaves of ~ 3.5 Ga-old tonalitic gneisses. These gneisses have a low heat production of 1.4 μWm-3. The mean heat production of the dominant porphyritic and mediumto- coarse grained Bundelkhand granite is 5.5 μWm-3. The heat production of the Proterozoic Jabalpur granite intruding the Mahakhosal greenstone belt is 3.4 μWm-3. The Tirodi gneisses resulting from migmatization of psammopelites of the Sausar Group, are characterized by a mean heat production of 3.8 μWm-3. The cataclastic biotite gneisses of the Tattapani geothermal area are the highest heat-producing rocks encountered in the Bundelkhand terrain with a mean heat production of 7.4 μWm-3. The tonalitic Amgaon gneisses of the Bastar terrain are characterized by a heat production of 0.7 μWm-3, which is about half of the mean heat production of the tonalitic gneisses occurring as inclusions in the Bundelkhand granite. Mean heat production of the Proterozoic Amgaon and Dongargarh granites are 2.5 and 2.9 μWm-3, respectively. Preliminary heat production data presented here show that the gneisses and granitoids of the Bundelkhand and Bastar terrains may have distinct heat production ranges, with the rocks of the Bundelkhand terrain being more heat-producing

Five Level Flying-Capacitor Multilevel Converter Using Dynamic Voltage Restorer (DVR)

This paper deals with dynamic voltage restorer (DVR) controlled by a five-level flying-capacitor multi level converter. To decrease the power-quality disturbances in distribution system, such as voltage imbalances, harmonic voltages, and voltage sags. The organisation of this paper has been divided into three parts; the first one eliminates the modulation high-frequency harmonics using filter increase the transient response. The second one deal with the load voltage; and the third is flying capacitors charged with balanced voltages. The MATLAB simulation results effectively for five level flying capacitor multilevel converters charged with balanced voltage regulation

Design Simulation and Analysis of U-Shaped and Rectangular MEMS Based Triple Coupled Cantilevers

235-238In this paper, we have proposed a new shape Micro-Electromechanical Systems (MEMS) based triple coupled Cantilever sensor, named as U-Shaped Cantilever. We have designed and simulated a U-Shaped MEMS based micro-cantilever made up of P-Silicon (Polycrystalline, Lightly doped) in COMSOL multiphysics. U-Shaped single beam Cantilever is designed with the dimensions of 100µm*20µm*2µm. U-shaped triple coupled Cantilever is designed with the dimensions of 20µm*120µm*2µm, 100µm*20µm*2µm. The simulation results like displacement, Eigen-frequency, surface stress, temperature, measurements of the U-shaped triple coupled cantilever is compared with rectangular triple coupled cantilever

Truck body type classification using a deep representationlearning ensemble on 3D point sets

Understanding the spatiotemporal distribution of commercial vehicles is essential for facilitating strategic pavement design, freight planning, and policy making. Hence, transportation agencies have been increasingly interested in collecting truck body configuration data due to its strong association with industries and freight commodities, to better understand their distinct operational characteristics and impacts on infrastructure and the environment. The rapid advancement of Light Detection and Ranging (LiDAR) technology has facilitated the development of non-intrusive detection solutions that are able to accurately classify truck body types in detail. This paper proposes a new truck classification method using a LiDAR sensor oriented to provide a wide field-of-view of roadways. In order to enrich the sparse point cloud obtained from the sensor, point clouds originating from the same truck across consecutive frames were grouped and combined using a two-stage vehicle reconstruction framework to generate a dense three-dimensional (3D) point cloud representation of each truck. Subsequently, PointNet – a deep representation learning algorithm – was adopted to train the classification model from reconstructed point clouds. The model utilizes low-level features extracted from the 3D point clouds and detects key features associated with each truck class. Finally, model ensemble techniques were explored to reduce the generalization error by averaging the results of seven PointNet models and further enhancing the overall model performance. The optimal number of models in the ensemble was determined through a comprehensive sensitivity analysis with the consideration of the average correct classification rate (CCR), the variability of the prediction results, and the computation efficiency. The developed model is capable of distinguishing passenger vehicles and 29 different truck body configurations with an average CCR of 83 percent. The average correct classification rate of the developed method on the test dataset was 90 percent for trucks pulling a large trailer(s)

A serum interleukin-6-based analysis of patients with nasopharyngeal swab reverse-transcriptase polymerase chain reaction negative for SARS-COV-2 infection with CO-RADS 4 and 5 on computed tomography of the chest

Background: Serum interleukin 6 (IL-6) levels have been studied in the diagnostic evaluation of patients with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) disease (COVID-19). Methods: We studied the utility of treatment with tocilizumab in COVID-19 patients (n=19) with a negative nasopharyngeal swab real time reverse transcriptase polymerase chain reaction (RT-PCR) test for SARS-CoV-2 who had suggestive computed tomography (CT) findings, namely, COVID-19 Reporting and Data System (CO-RADS) 4,5. Results: Receiver operator characteristic (ROC) curve analysis showed that serum IL 6 at a cut-off of >56.9 pg/L was a predictor of mortality in nasopharyngeal swab RT-PCR negative patients with suggestive CT findings. Tocilizumab had no significant effect on the mortality. Conclusions: In nasopharyngeal swab RT-PCR negative patients with suggestive chest CT findings, elevated serum IL-6 levels > 56.9 pg/L predicted mortality. However, treatment with tocilizumab had no effect on mortality