IoT Based Smart Solar Flower Water Pump System

The electric demand of the countries is increasing day by day and the available resources are quite insufficient to fulfill this demand. The reasons are that the conventional energy resources are diminishing and available with finite sources. Due to these reasons, the solar power is one of the promising alternatives that is easily available, pollution free and having higher operating life. The solar system also provides higher operating efficiency for the load, and the cost of the solar panel is minimum. To improve the switching technology used for the power conversion, we presented a smart flower system powered by photovoltaic panels that could supply standalone AC/DC load. In this system, solar panels produce a direct current, which can be converted into AC by the converter and used in home, industrial and agriculture applications. The output of the panels depends on the direction of sun's rays (solar energy), and the solar photovoltaic cell converts the solar energy into useful electrical energy. The aim of this paper is to develop the solar photovoltaic generation system based on a standard power electronics cell for micro industrial, commercial, home as well as agriculture applications. The proposed system is capable to provide protection from wind and rain, thereby the efficiency of the solar panels will increase. The generation of the electricity is more with trackers than stationary counterparts due to direct exposure to sun's rays. This increase can be as much as 25% depending upon the geographic location of the tracking system. The generated output voltage can be used for various purposes, and we used the store energy to run an agriculture water pump by using the internet of things (IoT). Citation: Band, B. H., and Ingole, A. D. (2019). IoT Based Smart Solar Flower Water Pump System. Trends in Renewable Energy, 5, 229-236. DOI: 10.17737/tre.2019.5.3.009

Incremental Principal Component Analysis Based Outliers Detection Methods for Spatiotemporal Data Streams

In this paper, we address outliers in spatiotemporal data streams obtained from sensors placed across geographically distributed locations. Outliers may appear in such sensor data due to various reasons such as instrumental error and environmental change. Real-time detection of these outliers is essential to prevent propagation of errors in subsequent analyses and results. Incremental Principal Component Analysis (IPCA) is one possible approach for detecting outliers in such type of spatiotemporal data streams. IPCA has been widely used in many real-time applications such as credit card fraud detection, pattern recognition, and image analysis. However, the suitability of applying IPCA for outlier detection in spatiotemporal data streams is unknown and needs to be investigated. To fill this research gap, this paper contributes by presenting two new IPCA-based outlier detection methods and performing a comparative analysis with the existing IPCA-based outlier detection methods to assess their suitability for spatiotemporal sensor data streams

Studies on Combining Ability for Yield and Quality Traits in Brinjal (Solanum melongena L.)

The experimental material in brinjal (eggplant) comprised 19 parents (15 lines + 4 testers), 60 F1 crosses and two standard checks (BH-1 and BH-2). This was grown in Randomized Block Design, with three replications. Lines vs. testers showed significance for all characters except plant height, plant spread, number of primary branches, dry matter, total sugars and total phenol. Analysis for parents vs. hybrids showed significance for all the characters except average fruit weight, number of fruits per plant, plant spread and number of primary branches. Analysis of Variance for combining ability revealed mean squares due to lines and testers were significant for all the characters except plant height, plant spread, number of primary branches, total sugars, total phenol and content of anthocyanins. The ratio of variance due to specific combining ability and general combining ability (σ2SCA: σ2GCA) was greater than unity, indicating non-additive genetic control for all traits except plant spread and total phenols. Among the females, Punjab Barsati, PBR-91-1, RCMBL-1-1, BSR-11; and among the males, BB-93-C and U-8-61-3 were best general combiners for yield and yield components. Punjab Barsati was the best combiner for days to 50% flowering, days to first fruit harvest, number of fruits per plant and number of primary branches. The cross JBR-3-16 × PB-64 manifested best SCA effects for days to 50% flowering; PBR-91-1JBSR-98-2 for average fruit weight; BSR-11 × PB-64 for fruit length; BSR-11× U-8-61-3 for fruit girth, and the cross HABL-1 × JBSR-98-2 for yield per plant and per hectare

Dynamics of Phononic Dissipation at the Atomic Scale: Dependence on Internal Degrees of Freedom

Dynamics of dissipation of a local phonon distribution to the substrate is a key issue in friction between sliding surfaces as well as in boundary lubrication. We consider a model system consisting of an excited nano-particle which is weakly coupled with a substrate. Using three different methods we solve the dynamics of energy dissipation for different types of coupling between the nano-particle and the substrate, where different types of dimensionality and phonon densities of states were also considered for the substrate. In this paper, we present our analysis of transient properties of energy dissipation via phonon discharge in the microscopic level towards the substrate. Our theoretical analysis can be extended to treat realistic lubricant molecules or asperities, and also substrates with more complex densities of states. We found that the decay rate of the nano-particle phonons increases as the square of the interaction constant in the harmonic approximation.Comment: 10 pages, 6 figures, submitted to Phys. Rev.

FORMULATION DEVELOPMENT AND EVALUATION OF ELEMENTARY OSMOTIC TABLET OF LISINOPRIL DIHYDRATE

Objective: Lisinopril Dihydrate is one of the antihypertensive drug used to control the high blood pressure. Osmotically Controlled release tablet of Lisinopril Dihydrate was performed for reducing dosing frequency and patient compliance.Methods: Elementary osmotic tablets of Lisinopril Dihydrate were developed using Sodium chloride as a key ingredient which gives osmogent property which provides driving force inside the core tablet and which leads to release of the drug. Microcrystalline cellulose used as a release retardant material in the present work. Different formulations were prepared by varying the concentrations using 32 factorial designs. It was applied to see the effect of variables Sodium chloride (X1) and MCC (X2) on the response percentage drug release as a dependent variable. These formulations were evaluated for, Hardness, Flow property, Thickness, Friability, Drug content and In vitro drug release. Tablets were coated with a semipermeable membrane using 5% w/v cellulose acetate(CA) in acetone and PEG 400(1%) used as Plasticizer. Coated Elementary osmotic tablets were drilled for delivery orifice using a standard micro drill of diameter size 0.8 mm.Results: Drug release rate was increased as the increase in the concentration of sodium chloride and release rate decreased on increasing the concentration of MCC. Drug release rate was directly proportional to delivery orifice size. SEM Study carried out for detection of diameter size of the delivery orifice. The FTIR studies demonstrate that there was no interaction between polymer and drug.Conclusion: The optimized formulation was stable for 3 mo of accelerated stability stud