218 research outputs found

    Design and Implementation of Position Estimator Algorithm on Voice Coil Motor

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    Voice Coil Motors (VCMs) have been an inevitable element in the mechanisms that have been used for precise positioning in the applications like 3D printing., micro-stereolithography., etc. These voice coil motors translate in a linear direction and require a high accuracy position sensor that amounts for a major part in the budget. In this research work., an effort has been made to design and implement an algorithm that would predict the displacement of VCM and eliminate the need of high cost sensors. VCM was integrated with dSPACE DS1104 R&D controller via linear current amplifier (LCAM) which acts as a driver circuit for VCM. Sine input was given to VCM with various amplitude and frequency and the corresponding displacement is measured by using linear variable differential transformer (LVDT). The position estimator algorithm is also implemented at the same time on VCM and its output is compared with that of LVDT. It is observed that there is 97.8 % accuracy in between algorithm output and LVDT output. Further., PID controller is used in integration with the novel algorithm to minimize the error. The estimator algorithm is tested for various amplitudes and frequencies and it is found that it has a very good agreement of 99.2% with the actual displacement measured with the help of LVDT

    Formulation and evaluation of antimicrobial gel of cow urine distillate

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    In India, medicines based on herbal origin have been the basis of treatment and cure for various diseases. The Indian Cow, Bos indicus, is a most veneered and valuable animal in religious scriptures. Cow urine has found therapeutic applications since days of yore. Cow urine based preparations have powerful antimicrobial, antiviral, anti allergic, and antioxidant activity. So the current research is mainly centered on the exploration of the antimicrobial powers of cow urine and incorporation of cow urine into gel formulation. The gels were prepared by using carbopol 940, propylene glycol, glycerin, triethanolamine, distilled water along with cow urine distillate and Azadirachta indica extract. The prepared gels were evaluated for physical appearance, spreadability, pH, Homogeneity and viscosity. The present study analyzes the antibacterial and antifungal activity of Cow Urine Distillate against the clinical pathogenic microorganisms such as Bacillus subtilis and Staphalococcus aureus. Maximum antibacterial activity was observed in Bacillus subtilis than Staphalococcus aureus. Antifungal activity of cow urine distillate was analysed against Aspergillus niger. The result revealed optimum characteristics features of gel formulation and confirm antimicrobial potential of prepared gel

    Replacing Mineral Oil with Vegetable Oil to Improve the Transformer’s Performance

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    In this paper, the replacement of mineral oil by vegetable oil for better performance of transformer was studied. This paper reveals benefits of vegetable oil over mineral oil based on their electrical characteristic, expectation, requirement , suitability, aging, environmental impact, safety, evaluation and dielectric properties of vegetable oil. Mineral oil was traditionally used to provide isolation, but vegetable oil has become increasingly popular in the last few years, and it is presently used in the range of small- to medium-size transformers. The application of transformer is expressly accreted. The competent electric transformer division in recent years has normally been immersed in mineral oil that acts as a medium insulating the energy supply of electric equipment. This paper provides information on the key environmental and fire resistance properties and associated values for natural vegetable oil transformers. Transformers filled with such fluids are generated in general. This work motivates the transformer performance to be determined by using natural dielectric vegetable fluid in comparison with ideal mineral oil. In also to estimate the degradation of both the oils the dissolved gas analysis is carried out. However, the dielectric dissipation factor of the mineral oil was about 77 times lower than that of natural oil [1]. The application of these liquids in transformers guarantees better life span. In transformer applications, vegetable isolating oils are now commercially available as replacements for mineral- based oils. In future, the vegetable oil will be the best replacement for mineral oil

    Utilisation of Renewable Energy Source for Domestic Purpose Applications by Using Wind Mill

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    The Earth's winds comprise immense amounts of energy. Peoples use that energy for various purposes like sail ships, grind grain and pump water. In recent trend conversion of wind energy into electrical energy is mostly like one. In that by using some mechanical and electrical arrangement we able to produce electrical energy for domestic purpose as well as industrial purpose. The burning of fossil fuel produces 21.3 billion tons of CO2 per year and that are very hazardous for human existence on earth. By using renewable energy sources, we are able to overcome that problem. Due to absence of risk and disasters Renewable energy is always consult as reliable source. In this regard, various policies were prepared to encourage citizens for use of renewable source. Citizens were able to installed small wind mill for domestic purpose. It has one-time capital investment after that we can consume that energy or can connect to grid also. In this paper, we discuss about energy generation for home appliances from small windmill. This is contributing for reducing dependency on fossil fuels. [1]. Today, new wind turbines offer an efficient amount of electrical energy by catching more and more wind energy. Wind turbine converts the kinetic energy of wind into rotational kinetic energy and then converts into electrical energy by using electrical converters [2]. Wind turbines can be utilized for individual homes and also jointly to generate electricity for utility grids. Generated electricity is totally depends upon the size of rotating blades and speed of wind

    SOLID DISPERSION: A NOVEL APPROACH FOR POORLY WATER SOLUBLE DRUGS

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    Objective: Out of newly discovered drugs more than 40% pharmacologically active molecule having poor solubility. This is one of the serious challenge in the pharmaceutical industry and commercialization of the drug. Methods: With the introduction of new manufacturing technologies such as solid dispersion pH modification, SEED, salt formation, co crystallization. Results: it should be possible to overcome problems. Potential of solid dispersion technology has been well established for hydrophobic agents because of ease of optimization, simplicity and easy scale up. Conclusion: This article begins with an overview of the historical background and definition and importance of solubility and solid dispersion. The remainder of the article is devoted to the production, the different carriers and the methods used for the characterization of solid dispersions

    MODELLING AND ANALYSIS OF DC MOTOR ACTUATOR FOR AN ELECTRIC GRIPPER

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    Robot technology has seen developments to support both the needs of industry and human life. This paper presents a brief review on the modelling and simulation of robotic grippers. The design of two fingered electric gripper, actuated by a direct current motor, is described for pick and place of spark plug. Mathematical modelling of the motor is carried out to understand and relate the control parameters. Angular velocity and torque response of the motor for a step input are verified by simulation. Controlling the direct current motor with pulse width modulation technique gives gentle variation of velocity and relatively greater torque. Further, it results in quick response of motor torque

    Anti-Inflammatory Activity of Delonix regia (Boj. Ex. Hook)

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    The present work was to evaluate the anti-inflammatory activity of Delonix regia leaves (Family: Caesalpiniaceae). The powder of Delonix regia leaves was subjected to extraction with ethanol in soxhlet extractor. The ethanol extract after preliminary phytochemical investigation showed the presence of sterols, triterpenoids, phenolic compounds and flavonoids. The anti-inflammatory activity was studied using carrageenan-induced rat paw edema and cotton pellet granuloma at a three different doses (100, 200, and 400 mg/kg b.w. p.o.) of ethanol extract. The ethanol extract of Delonix regia leaves was exhibited significant anti-inflammatory activity at the dose of 400 mg/kg in both models when compared with control group. Indomethacin (10 mg/kg b.w. p.o) was also shown significant anti-inflammatory activity in both models

    Smart Waste Management System using IoT

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    With rapid increase in population, the issues related to sanitation with respect to garbage management are degrading immensely. It creates unhygienic conditions for the citizens in the nearby surrounding, leading to the spread of infectious diseases and illness. To avoid this problem, IoT based “Smart Waste Management” is the best and trending solution. In the proposed system, public dustbins will be provided with embedded device which helps in real time monitoring of level of garbage in garbage bins. The data regarding the garbage levels will be used to provide optimized route for garbage collecting vans, which will reduce cost associated with fuel. The load sensors will increase efficiency of data related to garbage level and moisture sensors will be used to provide data of waste segregation in a dust bin. The analysis of ceaseless data gathered will help municipality and government authorities to improve plans related to smart waste management with the help of various system generated reports

    Participatory women’s groups and counseling through home visits to improve child growth in rural eastern India: protocol for a cluster randomised controlled trial

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    Background: Childhood stunting (low height-for-age) is a marker of chronic undernutrition and predicts children’s subsequent physical and cognitive development. An estimated 52 million children in India are stunted. There is a broad consensus on determinants of child undernutrition and interventions to address it, but a lack of operational research testing strategies to increase the coverage of these interventions in high burden areas. Our study aims to assess the impact, costeffectiveness, and scalability of a community intervention involving a government-proposed community-based worker to improve growth in children under two

    Discovery of Ranking Fraud for Mobile Apps Evidence Aggregation Based Ranking Fraud Detection (EA-RFD)

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    Ranking fraud within the mobile App market refers to dishonest or deceptive activities that have a purpose of bumping up the Apps within the quality list. Indeed, it becomes additional and additional frequent for App developers to use shady suggests that, like inflating their Apps? sales or posting phony App ratings, to commit ranking fraud. Whereas the importance of preventing ranking fraud has been well known, there's restricted understanding and analysis during this space. to the present finish, during this paper, we offer a holistic read of ranking fraud and propose a ranking fraud detection system for mobile Apps. Specifically, we tend to 1st propose to accurately find the ranking fraud by mining the active periods, specifically leading sessions, of mobile Apps. Such leading sessions will be leveraged for detective work the native anomaly rather than world anomaly of App rankings. Moreover, we tend to investigate 3 forms of evidences, i.e., ranking based mostly evidences, rating {based based mostly primarily based mostly} evidences and review based evidences, by modeling Apps? ranking, rating and review behaviors through applied mathematics hypotheses tests. Additionally, we tend to propose AN optimization based mostly aggregation methodology to integrate all the evidences for fraud detection. Finally, we tend to evaluate the projected system with real-world App knowledge collected from the iOS App Store for an extended fundamental measure. Within the experiments, we tend to validate the effectiveness of the projected system, and show the quantifiability of the detection algorithmic program furthermore as some regularity of ranking fraud activities
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