Intelligent Compaction Analyzer System for Vibratory Road Rollers using ARM Microcontroller and Data Updation on Server using Android Application

This paper provides an introduction to intelligent compaction for road construction and was developed as a resource for new users interested in understanding some of the applications and benefits of implementing this technology. Any agencies are into this business faced with the same challenges of reduced staff and having fewer people on site so more time and effort that is required for some of the quality assurance testing. It’s just not available anymore, for that we need to find ways to accomplish with less staff time and may be the greater coverage of area because there is less number of knowledgeable people to do the inspection. One of our main aims to evolve away from the nuclear density gauges. We think that the natural evolvement for that would be the Intelligent Compaction Analyzer System

Emission Norms using Bharat Stage VI for Two Wheeler

Emission Standard of India was conveyed in 1991 has reached today to directly switch to BS VI from BS IV norms. This decision to bound fuel standards has brought about to disorder oil and auto Industry. What are the challenged faced by these organizations for this evolution based on technical understanding is conversed in this paper. For S.I engines machineries that are expected to be commercialized that will help automobiles to fulfill the BS VI norms are illuminated. Machinery up gradation, its validation and adjustment of this technology by customers are some of the major issues faced by the auto sector. Reduction of time line, collection of proper technology for decontaminating, refurbishing of the current units and parallely spreading of two forms of oil are the major encounters faced by the oil refineries

UML Modeling for Tea / Coffee Machine

Unified Modeling language (UML) is one of the important modeling languages used for the visual representation of the research problem. In the present paper, UML model is designed for the Tea / Coffee Machine which is used for the purpose of the public in the hotels or restaurants2019;. The class and use case diagrams are designe

Performance Analysis of Induction Motor For Sudden Load Disturbance Using PI And FUZZY Controller

This paper presents the improved performance in speed of an induction motor by applying vector control techniques which transforms the induction motor from nonlinear to linear plant system and fuzzy control system provides the better running performance of the induction motor at various disturbances in load by tracking the waves to reach the steady state response earlier than PI controller. The benefits of squirrel-cage induction motors are high robustness and low maintenance which make it widely used through various industrial modem processes, with growing economical and demands. In conventional FOC, PI controller is used to control the speed response of the induction motor drive. The use of PI controller induces many problems like high overshoot, oscillation of speed and torque due to sudden changes in load and external disturbances. This behavior of the controller causes deterioration of drive performance. To overcome this disadvantages an intelligent controller based on fuzzy logic is employed in the place of the conventional PI controller. DOI: 10.17762/ijritcc2321-8169.15061

Performance Analysis of Induction Motor Using PI And FUZZY Controller

This paper represents the better speed regulation of induction motor by the help of indirect vector control technique and also by using other controlling techniques. Here speed of induction motor is regulated or controlled by using PI controller and fuzzy logic controller, by using PI controller it provides good regulation of speed but due to some drawback in it like high overshoot, oscillation of speed and torque at variation or change in load or due to external disturbances occur during running performance of induction motor drive that controller is replaced by fuzzy logic controller which provides more better running performance to the induction motor by regulating its speed in better way and tracking the actual running speed response easily and fast as compare to PI controller. The benefits of squirrel-cage induction motors are high robustness and low maintenance which make it widely used through various industrial modem processes, with growing economical and demands. In conventional FOC, PI controller is used to control the speed response of the induction motor drive. The use of PI controller induces many problems due to sudden changes in load and external disturbances. This behavior of the controller causes disturbance in drive running performance. To overcome this disadvantages an intelligent controller based on fuzzy logic is employed in the place of the conventional PI controller. DOI: 10.17762/ijritcc2321-8169.15061

Electricity from Rice Husk A Potential & Eco- friendly Way to Electrify India

as per reports it can be stated that the energy demanded by India is continuously increasing day-by-day. For the sake of providing energy security the amount of fossil fuels imported is quite high. With this, in fossil fuel there are several components like CO2, SO2 and NOX which presents an adverse effect to the environment. To find an alternative solution to this big problem and arrive to a satisfactory result, re-usable (renewable) energy sources are needed to be developed. In India the Rice is grown in a very large quantity and it holds a considerable rank in exporting to the rest of the countries, here rice husk is a potential source of energy. To produce energy the Rice mills can utilize rice husk produced by them. However, the energy produced must be such that leads minimum damage to the environment. In coal and oil-fired power generation have a lesser amount of SO2 and NOX emission, but higher than for natural gas. In this process the CO2 obtained from combustion of rice husk is taken as zero as it does not contribute to global warming. The CO and dust emissions are comparatively higher than the conventional power production pointing which is required for improving the combustion efficiency of the rice husk power plant. Overall, it suggests that rice husk will be successful feedstock to produce electricity and works well than fossil fuels (basically coal and oil) from the view of environmental emissions. Electrical energy generation of a country determines it’s economic development. Thus to compete other developed countries, India must have more than required electrical generation technique so that it can pace up the developmental process. To get development India has to, make the electricity available to most possible doors

MXene-Embedded Porous Carbon-Based Cu₂O Nanocomposites for Non-Enzymatic Glucose Sensors

This work explores the use of MXene-embedded porous carbon-based Cu2O nanocomposite (Cu2O/M/AC) as a sensing material for the electrochemical sensing of glucose. The composite was prepared using the coprecipitation method and further analyzed for its morphological and structural characteristics. The highly porous scaffold of activated (porous) carbon facilitated the incorporation of MXene and copper oxide inside the pores and also acted as a medium for charge transfer. In the Cu2O/ M/AC composite, MXene and Cu2O influence the sensingparameters, which were confirmed using electrochemical techniques such as cyclic voltammetry, electrochemical impedance spectroscopy, and amperometric analysis. The prepared composite shows two sets of linear ranges for glucose with a limit of detection (LOD) of 1.96 μM. The linear range was found to be 0.004 to 13.3 mM and 15.3 to 28.4 mM, with sensitivity values of 430.3 and 240.5 μA mM−1 cm−2, respectively. These materials suggest that the prepared Cu2O/M/AC nanocomposite can be utilized as a sensing material for non-enzymatic glucose sensors

Cerebral activations related to ballistic, stepwise interrupted and gradually modulated movements in parkinson patients

Patients with Parkinson's disease (PD) experience impaired initiation and inhibition of movements such as difficulty to start/stop walking. At single-joint level this is accompanied by reduced inhibition of antagonist muscle activity. While normal basal ganglia (BG) contributions to motor control include selecting appropriate muscles by inhibiting others, it is unclear how PD-related changes in BG function cause impaired movement initiation and inhibition at single-joint level. To further elucidate these changes we studied 4 right-hand movement tasks with fMRI, by dissociating activations related to abrupt movement initiation, inhibition and gradual movement modulation. Initiation and inhibition were inferred from ballistic and stepwise interrupted movement, respectively, while smooth wrist circumduction enabled the assessment of gradually modulated movement. Task-related activations were compared between PD patients (N = 12) and healthy subjects (N = 18). In healthy subjects, movement initiation was characterized by antero-ventral striatum, substantia nigra (SN) and premotor activations while inhibition was dominated by subthalamic nucleus (STN) and pallidal activations, in line with the known role of these areas in simple movement. Gradual movement mainly involved antero-dorsal putamen and pallidum. Compared to healthy subjects, patients showed reduced striatal/SN and increased pallidal activation for initiation, whereas for inhibition STN activation was reduced and striatal-thalamo-cortical activation increased. For gradual movement patients showed reduced pallidal and increased thalamo-cortical activation. We conclude that PD-related changes during movement initiation fit the (rather static) model of alterations in direct and indirect BG pathways. Reduced STN activation and regional cortical increased activation in PD during inhibition and gradual movement modulation are better explained by a dynamic model that also takes into account enhanced responsiveness to external stimuli in this disease and the effects of hyper-fluctuating cortical inputs to the striatum and STN in particular

The International Collaboration for Research methods Development in Oncology (CReDO) workshops: shaping the future of global oncology research

Low-income and middle-income countries (LMICs) have a disproportionately high burden of cancer and cancer mortality. The unique barriers to optimum cancer care in these regions necessitate context-specific research. The conduct of research in LMICs has several challenges, not least of which is a paucity of formal training in research methods. Building capacity by training early career researchers is essential to improve research output and cancer outcomes in LMICs. The International Collaboration for Research methods Development in Oncology (CReDO) workshop is an initiative by the Tata Memorial Centre and the National Cancer Grid of India to address gaps in research training and increase capacity in oncology research. Since 2015, there have been five CReDO workshops, which have trained more than 250 oncologists from India and other countries in clinical research methods and protocol development. Participants from all oncology and allied fields were represented at these workshops. Protocols developed included clinical trials, comparative effectiveness studies, health services research, and observational studies, and many of these protocols were particularly relevant to cancer management in LMICs. A follow-up of these participants in 2020 elicited an 88% response rate and showed that 42% of participants had made progress with their CReDO protocols, and 73% had initiated other research protocols and published papers. In this Policy Review, we describe the challenges to research in LMICs, as well as the evolution, structure, and impact of CReDO and other similar workshops on global oncology research