Automatic Solar Tracking System with AVR Microcontroller based Street Light

This paper presents the design of a solar tracking system driven by an AVR microcontroller. This project is done by two ways of tracking system, manual and auto tracking. This project is very useful for street light in the campus and villages. The solar panel converts the sun light into the electrical energy, because sun is a very good source of different energies. And the solar energy is the best technique for renewable energy. Basically the energy sources are two types such as conventional energy sources and non-conventional energy sources. Coal, petroleum, natural gas etc. are example of conventional energy sources and solar cell, fuel cells, thermo-electric generator, thermionic converter, solar power generation, wind power generation, geo-thermal energy generation etc. are example of non-conventional energy sources. In developing countries where electricity supplies are inadequate, renewable energy can offer an alternative to expensive extensions of the grid to sparsely populated or rural areas, or a contribution to the grid-based energy mix to meet rapidly expanding electricity demand in urban areas. This work presents an autonomous street lighting system based on solar energy as primary source, batteries as secondary source, and light emitting diodes as lighting source. This system is being presented as an alternative for remote localities, like roads and crossroads

Prioritized Service Scheme with QOS Provisioning in a Cloud Computing System

Cloud computing is a compilation of existing techniques and technologies, packaged within a new infrastructure paradigm that offers improved scalability, elasticity, business agility, faster startup time, reduced management costs, and just-in-time availability of resources. It is based on the pay as you use policy and virtual servers are used in this technology. This technology is capturing the market at a rapid rate and is an advancement over the distributed computing technology. There is a scheduling issue in this technology as in case of normal scheduling the service with the more burst time blocks the service of less burst time hence we need to prioritize the service in the way that every service gets equal opportunity to execute. A priority scheme is proposed in which the prioritized customers are categorized into different priority queues. These prioritized customers have guaranteed Quality of Service (QoS) by the cloud computing system in terms of less response time. The concept of selection probability is introduced according to which the cloud metascheduler chooses the next query for execution. The priority queues are modeled as M/M/1/K/K queues and an analytical model is developed for the calculation of selection probabilities. Two algorithms are proposed for explaining the processing at the users’ end and at the Cloud Computing server’s end. The results obtained are validated using the numerical simulations. DOI: 10.17762/ijritcc2321-8169.15024

A Review Approach on various form of Apriori with Association Rule Mining

Data mining is a computerized technology that uses complicated algorithms to find relationships in large databases Extensive growth of data gives the motivation to find meaningful patterns among the huge data. Sequential pattern provides us interesting relationships between different items in sequential database. Association Rules Mining (ARM) is a function of DM research domain and arise many researchers interest to design a high efficient algorithm to mine ass ociation rules from transaction database. Association Rule Mining plays a important role in the process of mining data for frequent pattern matching. It is a universal technique which uses to refine the mining techniques. In computer science and data min ing, Apriori is a classic algorithm for learning association rules Apriori algorithm has been vital algorithm in association rule mining. . Apriori alg orithm - a realization of frequent pattern matching based on support and confidence measures produced exc ellent results in various fields. Main idea of this algorithm is to find useful patterns between different set of data. It is a simple algorithm yet having man y drawbacks. Many researches have been done for the improvement of this algorithm. This paper sho ws a complete survey on few good improved approaches of Apriori algorithm. This will be really very helpful for the upcoming researchers to find some new ideas from these approaches. The paper below summarizes the basic methodology of association rules alo ng with the mining association algorithms. The algorithms include the most basic Apriori algorithm along with other algorithms such as AprioriTi d, AprioriHybrid

Characterization of Phosphofructokinase Activity in Mycobacterium tuberculosis Reveals That a Functional Glycolytic Carbon Flow Is Necessary to Limit the Accumulation of Toxic Metabolic Intermediates under Hypoxia

10.1371/journal.pone.0056037PLoS ONE82

Comparative Study of RDBMS, NOSQL and Graph Databases

The paper aims at analysis and comparison of various forms of databases particularly computer database Management System (RDBMS), Not solely SQL (NOSQL), Graph Databases. The Structured source language is employed by applications to access computer database systems containing informative during a semi declarative language whereas NOSQL databases area unit supported the key-value pairs. Graph info uses graph structures for resolution queries and to represent and store knowledge

Lower edge of locked Main Himalayan Thrust unzipped by the 2015 Gorkha earthquake

Large earthquakes are thought to release strain on previously locked faults. However, the details of how earthquakes are initiated, grow and terminate in relation to pre-seismically locked and creeping patches is unclear ^1-4. The 2015 Mw 7.8 Gorkha, Nepal earthquake occurred close to Kathmandu in a region where the prior pattern of fault locking is well documented ^5. Here we analyze this event using seismological records measured at teleseismic distances and Synthetic Aperture Radar imagery. We show that the earthquake originated northwest of Kathmandu within a cluster of background seismicity that fringes the bottom of the locked portion of the Main Himalayan Thrust fault (MHT). The rupture propagated eastwards for about 140 km, unzipping the lower edge of the locked portion of the fault. High-frequency seismic waves radiated continuously as the slip pulse propagated at about 2.8 km s-1 along this zone of presumably high and heterogeneous pre-¬seismic stress at the seismic-aseismic transition. Eastward unzipping of the fault resumed during the Mw 7.3 aftershock on May 12. The transfer of stress to neighbouring regions during the Gorkha earthquake should facilitate future rupture of the areas of the MHT adjacent and up-dip of the Gorkha earthquake rupture.This is the author accepted manuscript. The final version is available from Nature Publishing Group via http://dx.doi.org/10.1038/ngeo251

Assessing Household Solid Fuel Use: Multiple Implications for the Millennium Development Goals

OBJECTIVE: The World Health Organization is the agency responsible for reporting the Millennium Development Goal (MDG) indicator “percentage of population using solid fuels.” In this article, we present the results of a comprehensive assessment of solid fuel use, conducted in 2005, and discuss the implications of our findings in the context of achieving the MDGs. METHODS: For 93 countries, solid fuel use data were compiled from recent national censuses or household surveys. For the 36 countries where no data were available, the indicator was modeled. For 52 upper-middle or high-income countries, the indicator was assumed to be < 5%. RESULTS: According to our assessment, 52% of the world’s population uses solid fuels. This percentage varies widely between countries and regions, ranging from 77%, 74%, and 74% in Sub-Saharan Africa, Southeast Asia, and the Western Pacific Region, respectively, to 36% in the Eastern Mediterranean Region, 16% in Latin America and the Caribbean and in Central and Eastern Europe. In most industrialized countries, solid fuel use falls to the < 5% mark. DISCUSSION: Although the “percentage of population using solid fuels” is classified as an indicator to measure progress towards MDG 7, reliance on traditional household energy practices has distinct implications for most of the MDGs, notably MDGs 4 and 5. There is an urgent need for development agendas to recognize the fundamental role that household energy plays in improving child and maternal health and fostering economic and social development

Metallopharmaceuticals Compound -Past Lessons And Future Directions - A Review

This article is an overview that discusses the history, chemistry, synthesis, prospects, and applications of Schiff bases and related metal compounds. This provides an update on recent facts regarding Schiff's performance, which consisted of a variety of challenging elements. The field of therapeutic inorganic chemistry lies at the crossroads of medicine and inorganic chemistry. It consists of metal-based drugs, professionals who can sequester and mobilise metal, and demonstrative aids that contain metal. Drugs that are formed of organometallic compounds have been used for the treatment of a wide variety of ailments for many years. At the level of individual atoms, the following metal elements play significant roles in the architecture of living organisms: When antimicrobial drugs interact with particular metal particles, the drugs might become more effective against microbes. It is possible to enhance the activity of bioactive molecules by utilising coordination compounds that contain metal. In this article, several different applications of metals in biological systems will be discussed in depth. &nbsp

Application of chemometric analysis to infrared spectroscopy for the identification of wood origin

Chemical characteristics of wood are used in this study for plant taxonomy classification based on the current Angiosperm Phylogeny Group classification (APG III System) for the division, class and subclass of woody plants. Infrared spectra contain information about the molecular structure and intermolecular interactions among the components in wood but the understanding of this information requires multivariate techniques for the analysis of highly dense datasets. This article is written with the purposes of specifying the chemical differences among taxonomic groups, and predicting the taxa of unknown samples with a mathematical model. Principal component analysis, t-test, stepwise discriminant analysis and linear discriminant analysis, were some of the chosen multivariate techniques. A procedure to determine the division, class, subclass and order of unknown samples was built with promising implications for future applications of Fourier Transform Infrared spectroscopy in wood taxonomy classification

Metallopharmaceuticals Compound -Past Lessons And Future Directions -A Review

This article is an overview that discusses the history, chemistry, synthesis, prospects, and applications of Schiff bases and related metal compounds. This provides an update on recent facts regarding Schiff's performance, which consisted of a variety of challenging elements. The field of therapeutic inorganic chemistry lies at the crossroads of medicine and inorganic chemistry. It consists of metal-based drugs, professionals who can sequester and mobilise metal, and demonstrative aids that contain metal. Drugs that are formed of organometallic compounds have been used for the treatment of a wide variety of ailments for many years. At the level of individual atoms, the following metal elements play significant roles in the architecture of living organisms: When antimicrobial drugs interact with particular metal particles, the drugs might become more effective against microbes. It is possible to enhance the activity of bioactive molecules by utilising coordination compounds that contain metal. In this article, several different applications of metals in biological systems will be discussed in depth. &nbsp