An Efficient Microcontroller Based Sun Tracker Control for Solar Cell Systems

The solar energy is fast becoming a different means of electricity resource. Now in world Fossil fuels are seriously depleting thus the need for another energy source is a necessity. To create effective utilization of its solar, energy efficiency must be maximized. An attainable way to deal with amplifying the power output of sun-powered exhibit is by sun tracking. This paper presents the control system for a solar cell orientation device which follows the sun in real time during daytime

AUTO-CDD: automatic cleaning dirty data using machine learning techniques

Cleaning the dirty data has become very critical significance for many years, especially in medical sectors. This is the reason behind widening research in this sector. To initiate the research, a comparison between currently used functions of handling missing values and Auto-CDD is presented. The developed system will guarantee to overcome processing unwanted outcomes in data Analytical process; second, it will improve overall data processing. Our motivation is to create an intelligent tool that will automatically predict the missing data. Starting with feature selection using Random Forest Gini Index values. Then by using three Machine Learning Paradigm trained model was developed and evaluated by two datasets from UCI (i.e. Diabetics and Student Performance). Evaluated outcomes of accuracy proved Random Forest Classifier and Logistic Regression gives constant accuracy at around 90%. Finally, it concludes that this process will help to get clean data for further analytical process

Detection of soybean oil as a potential adulterant of argan oil based on a novel DNA approach

Argan oil is a non-refined vegetable oil obtained from the fruits of the argan tree (Argania spinosa L.) and produced almost exclusively in the southwestern Morocco, where the argan forest is found. Different grades of argan oil are available, namely edible/food and cosmetic grades, depending on the use of roasted or raw kernels, respectively. Argan oil is considered one of the most prized oils in the world, with its demand growing worldwide mainly due to its success as an ingredient in cosmetic products. In Europe, the price of the edible grade oil is also very high as it is perceived as a luxury product [1]. Being a premium product, argan oil is highly prone to adulteration by admixing with cheaper vegetable oils or even its total substitution. Therefore, it is important to develop methodologies that can be used in the control of the authenticity of pure argan oil. Considering that several factors can affect the chemical composition of the oil, in this work novel approaches based on DNA markers are proposed to detect the presence of soybean oil as adulterant of argan oil.This work was supported by FCT (Fundação para a Ciência e Tecnologia) through projects FCT/CNRST (Portugal/Morocco) (FCT/6460/6/6/2017/S), UID/QUI/50006/2013 – POCI/01/0145/FEDER/007265 with financial support from FCT/MEC through national funds and co-financed by FEDER, under the Partnership Agreement PT2020; by projects NORTE-01-0145-FEDER-000011 and FOODINTEGRITY (FP7-KBBE-2013-single-stage, No 613688). J. Costa, L. Grazina and C. Villa are grateful to FCT grants (SFRH/BPD/102404/2014, SFRH/BD/132462/2017 and PD/BD/114576/2016, respectively) financed by POPH-QREN (subsidised by FSE and MCTES).info:eu-repo/semantics/publishedVersio

The Fourth Element: Characteristics, Modelling, and Electromagnetic Theory of the Memristor

In 2008, researchers at HP Labs published a paper in {\it Nature} reporting the realisation of a new basic circuit element that completes the missing link between charge and flux-linkage, which was postulated by Leon Chua in 1971. The HP memristor is based on a nanometer scale TiO$_2$ thin-film, containing a doped region and an undoped region. Further to proposed applications of memristors in artificial biological systems and nonvolatile RAM (NVRAM), they also enable reconfigurable nanoelectronics. Moreover, memristors provide new paradigms in application specific integrated circuits (ASICs) and field programmable gate arrays (FPGAs). A significant reduction in area with an unprecedented memory capacity and device density are the potential advantages of memristors for Integrated Circuits (ICs). This work reviews the memristor and provides mathematical and SPICE models for memristors. Insight into the memristor device is given via recalling the quasi-static expansion of Maxwell's equations. We also review Chua's arguments based on electromagnetic theory.Comment: 28 pages, 14 figures, Accepted as a regular paper - the Proceedings of Royal Society

E-Procurement System Technology: an Analysis in Electronic Procurement Service Unit (LPSE) of Kepulauan Riau Province

The practice of corruption always exist in public goods and service procurement in Indonesia. The Government efforts in reducing this case are doing new breakthrough like creating new system of service and goods procurement in an electronic way, usually called E-Procurement. After being instructed by Presidential Regulation number 54, year of 2010, the Local Government must use the E-Procurement System in the process of goods and service procurement, including Kepulauan Riau Province. This Research aims to analyzed the implementation of e-procurement system that had been adopted by Kepulauan Riau Province at year 2008. This research is not just for viewing the implementation of e-procurement system technically, but also to see how the influence of political process to the implementation of e-procurement. The Methodology used in this research is mix-method. This research are conducted in LPSE Kepulauan Riau Province, Procurement Service Unit (ULP) and also the vendors that supplies service and goods, that had been using the system. The results of this research are clearly stated that even the system of e-procurement of Kepulauan Riau Province are effective, and the political process is a factor which influencing the implementation of e-procurement

Cavity-mediated electron-photon pairs

Quantum information, communication, and sensing rely on the generation and control of quantum correlations in complementary degrees of freedom. Free electrons coupled to photonics promise novel hybrid quantum technologies, although single-particle correlations and entanglement have yet to be shown. In this work, we demonstrate the preparation of electron-photon pair states using the phase-matched interaction of free electrons with the evanescent vacuum field of a photonic chip–based optical microresonator. Spontaneous inelastic scattering produces intracavity photons coincident with energy-shifted electrons, which we employ for noise-suppressed optical mode imaging. This parametric pair-state preparation will underpin the future development of free-electron quantum optics, providing a route to quantum-enhanced imaging, electron-photon entanglement, and heralded single-electron and Fock-state photon sources

Physics at a Neutrino Factory

In response to the growing interest in building a Neutrino Factory to produce high intensity beams of electron- and muon-neutrinos and antineutrinos, in October 1999 the Fermilab Directorate initiated two six-month studies. The first study, organized by N. Holtkamp and D. Finley, was to investigate the technical feasibility of an intense neutrino source based on a muon storage ring. This design study has produced a report in which the basic conclusion is that a Neutrino Factory is technically feasible, although it requires an aggressive R&D program. The second study, which is the subject of this report, was to explore the physics potential of a Neutrino Factory as a function of the muon beam energy and intensity, and for oscillation physics, the potential as a function of baseline.Comment: 133 pages, 64 figures. Report to the Fermilab Directorate. Available from http://www.fnal.gov/projects/muon_collider/ This version fixes some printing problem

Mas-related G-protein–coupled receptors inhibit pathological pain in mice

An important objective of pain research is to identify novel drug targets for the treatment of pathological persistent pain states, such as inflammatory and neuropathic pain. Mas-related G-protein–coupled receptors (Mrgprs) represent a large family of orphan receptors specifically expressed in small-diameter nociceptive primary sensory neurons. To determine the roles of Mrgprs in persistent pathological pain states, we exploited a mouse line in which a chromosomal locus spanning 12 Mrgpr genes was deleted (KO). Initial studies indicated that these KO mice show prolonged mechanical- and thermal-pain hypersensitivity after hind-paw inflammation compared with wild-type littermates. Here, we show that this mutation also enhances the windup response of dorsal-horn wide dynamic-range neurons, an electrophysiological model for the triggering of central pain sensitization. Deletion of the Mrgpr cluster also blocked the analgesic effect of intrathecally applied bovine adrenal medulla peptide 8–22 (BAM 8–22), an MrgprC11 agonist, on both inflammatory heat hyperalgesia and neuropathic mechanical allodynia. Spinal application of bovine adrenal medulla peptide 8–22 also significantly attenuated windup in wild-type mice, an effect eliminated in KO mice. These data suggest that members of the Mrgpr family, in particular MrgprC11, may constitute an endogenous inhibitory mechanism for regulating persistent pain in mice. Agonists for these receptors may, therefore, represent a class of antihyperalgesics for treating persistent pain with minimal side effects because of the highly specific expression of their targets