High efficiency compact Bragg sensor

[abstract not available

Analysis and Design of an X-Band Reflectarray Antenna for Remote Sensing Satellite System

This paper presents the analysis and design of an X-band reflectarray. The proposed antenna can be used for a medium Earth orbit (MEO) remote sensing satellite system in the 8.5 GHz band. To obtain a nearly constant response along the coverage area of this satellite system, the proposed antenna was designed with a flat-top radiation pattern with a beam width of around 29° for the required MEO system. In addition, broadside pencil beam and tilted pencil beam reflectarrays were also investigated. The feeding element of the proposed reflectarray antennas is a Yagi–Uda array. The amplitude and phase distribution of the fields due to the feeding element on the aperture of the reflectarray antenna are obtained directly by numerical simulation without introducing any approximation. The required phase distribution along the aperture of the reflectarray to obtain the required flat-top radiation pattern is obtained using the genetic algorithm (GA) optimization method. The reflecting elements of the reflectarray are composed of stacked circular patches. This stacked configuration was found to be appropriate for obtaining a wide range of reflection phase shift, which is required to implement the required phase distribution on the reflectarray aperture. The antenna was fabricated and measured for verification

Evaluation of detoxification of aflatoxin-b1 by using Ag nanoparticles of oil extracts user prepared by using some medical herbs

Introduction: Herbs or plants are used for a variety of purposes, including nutrition, medicinal and in the beverage industry, beverages, coloring, food preservatives, insect repellants and cosmetics

Parallel and Distributed Powerset Generation Using Big Data Processing

Data mining algorithms are more important today as it allows stakeholders to get a 360-degree view of their customers. Recently, powerset has become the basic core for many algorithms and techniques in different data mining domains as it provides optimal solutions for many problems in data mining. Nevertheless, it is challenging to be used in several instances because the complexity of powerset grows exponentially with the number of sets. Constructing powerset from huge datasets on a single machine causes an out-of-memory exception. So, from a business perspective in mega data projects, the enterprise companies need to invest a lot of money to build high-performance system infrastructure of powerset. Also, enterprise companies have to invest more money to build a standby system to keep the system alive if the high-performance machines break down. Furthermore, the existing powerset techniques are designed for structured data and not useful in intensive processing using in-memory unstructured data store. Thus, this paper tackles most problems that hinder deploying powerset algorithm toward Big Data and presents a series of pruning techniques that can greatly improve construction efficiency of powerset generation. The approach allows enterprise companies to explore huge data volumes and gain business insights into near-real-time and save the cost of infrastructure

Comprehensive power quality performance assessment for electrical system of a nuclear research reactor

Abstract Studying the power quality (PQ) is an essential issue to ensure the safe and accurate operation of sensitive equipment particularly for nuclear installations. Assessment of PQ involves collecting and analysing data resources and then evaluating it with reference to PQ standards. There are many alternatives for PQ and it is difficult to make an appropriate selection among them in the existence of their multiple criteria which are usually conflicted. So this selection subject can be classified as a Multi Criteria Decision Making (MCDM) problem. To do so, a reliable and scientific method for studying and evaluating the overall system PQ is required. This study aims to assess performance of PQ for the electrical power system at a Nuclear Research Reactor (NRR) during a certain period using multiple measures for the most decisive PQ phenomena. It focuses on a number of the most important PQ phenomena namely frequency fluctuation (deviation), unbalances of current and voltage, current and voltage harmonic distortion, flicker and power factor. After combining all results into six samples (alternatives), the criteria weights are determined based on an objective method for weighting which is called CRITIC method. Then, the alternatives are ranked using compromise MCDM method-VIKOR method. The obtained results are analyzed and discussed to evaluate performance of NRR electrical system from the PQ view. It showed that the compromise solution that obtained by CRITIC-VIKOR can be a guide to facilitate the PQ evaluation of nuclear installation electrical system. Also, it can empower the operators with the benefits of benchmarking and monitoring a single index instead of several indices. Moreover, it is very useful for helping stakeholders to understand how the PQ performance changes under a certain operating condition of the facility. Finally, it is can be considered as a good model to weight each PQ phenomena and identify the time intervals for best and worst total PQ in NRR