An investigation on chemical bubble column using ultrasonic tomography for imaging of gas profiles

In this paper, we carried out a tomographic investigation of a chemical bubble column using ultrasonic sensor. The ultrasonic tomography sensing array was constructed to operate in transceiver-mode and was clamped on the exterior circumference of the column. The time-of-flight and arrival-time analysis was studied to obtain the signal information. Some experiments were carried out using known static profiles and were compared with the actual profiles. The findings showed promising results where the sensing array could detect gas bubble profiles down to 3 mm in diameter, and the conclusions were made at the end of the paper

UHF meander bowtie antenna for RFID application

This paper describes the development of four different ultra-high frequency (UHF) radio frequency identification (RFID) tag antenna using polycarbonate material or transparent paper as the substrate and aluminum tape as the radiating element. The main advantage of the method is that the materials are easy to obtain where it can be found in any hardware stores or in any general online shop. Plus, the antennas are designed in such a way that a meander line is traced along the shape of a bowtie antenna so that the antenna would operate at UHF band. The results of all four of the tag antenna designs are discussed and compared using graph obtained from Computer Simulation Technology (CST) simulation results and measurement results obtained from a portable Vector Network Analyzer (VNA) for the reflection coefficient, S11, and measurement results taken from VNA in chamber room for the radiation pattern. Finally, the results show that the measured results are in agreement with the simulated result and that the UHF RFID tag antennas are able to operate at UHF RFID band

Water and physiological responses of Okra (Abelmoschus esculentus (L.) Moench) under saline stress grown on a bentonized substrate

In many arid and semi-arid regions of the world, Salinity has become an important problem for agricultural production. The objective of this study was to evaluate the effect of different treatments of NaCl (Control, 100 mM and 300 mM) for 7 days, on young okra plants (Abelmoschus esculentus), grown in two types of substrate with bentonite (B) 7% and without bentonite (WB) under controlled greenhouse conditions. The results showed that the two factors (salinity and bentonite) imposed in our study have a significant effect on the water status estimated by RWC, RWL and DHS in addition of the accumulation of the osmoregulator (proline, soluble sugars).Keywords: okra, bentonite, salinity, water parameters, biochemical parameter

Wireless Sensor Node with Passive RFID for Indoor Monitoring System

This paper discusses the development of an indoor monitoring system based on passive radio frequency identification (RFID) system and Raspberry Pi 3. There are two algorithms designed for this project where the first is to link the RFID module to the Raspberry Pi 3, and the other one is to send the data obtained to a database over wireless network via UDOO Quad as a secondary router. The result is then displayed on a localhost generated using XAMPP. The objective of this project is to realize a monitoring system that incorporates different systems such as Raspberry Pi 3, UDOO Quad, and also RFID module by designing algorithms using Python and C programming language. Plus, the performance of the system is also analyzed using different type of antennas such as the Raspberry Pi 3 Antenna, monopole antenna, and a Yagi Uda antenna in terms of power received versus distance in both line of sight position and non-line of sight position. Finally, antenna that produces the best performance for line-of-sight (LOS) propagation is Yagi Uda antenna while monopole antenna is better when it comes to non-line-of-sight (NLOS) propagation

Economic Statistical Design Of (X)Over-Bar Control Charts For Systems With Gamma(Lambda, 2) In-Control Times

In this paper, Gamma(lambda, 2) distribution is considered as a failure model for the economic statistical design of X control charts. The study shows that the statistical performance of control charts can be improved significantly, with only a slight increase in the cost, by adding constraints to the optimization problem. The use of an economic statistical design instead of an economic design results in control charts that may be less expensive to implement, that have lower false alarm rates, and that have a higher probability of detecting process shifts. Numerical examples are presented to support this proposition. The results of economic statistical design are compared to those of a pure economic design. The effects of adding constraints for statistical performance measures, such as Type I error rate and the power of the chart, are extensively investigated. (C) 2002 Published by Elsevier Science Ltd

Economic Statistical Design Of (X)Over-Bar Control Charts For Systems With Gamma(Lambda, 2) In-Control Times

In this paper, Gamma(lambda, 2) distribution is considered as a failure model for the economic statistical design of X control charts. The study shows that the statistical performance of control charts can be improved significantly, with only a slight increase in the cost, by adding constraints to the optimization problem. The use of an economic statistical design instead of an economic design results in control charts that may be less expensive to implement, that have lower false alarm rates, and that have a higher probability of detecting process shifts. Numerical examples are presented to support this proposition. The results of economic statistical design are compared to those of a pure economic design. The effects of adding constraints for statistical performance measures, such as Type I error rate and the power of the chart, are extensively investigated. (C) 2002 Published by Elsevier Science Ltd

Agro-morphological characterization and assessment of variability, heritability, genetic advance and divergence in bacterial blight resistant rice genotypes

AbstractGenetic based knowledge of different growth traits including morphological, physiological and developmental plays fundamental role in the improvement of rice. Genetic divergence allows superior recombinants which are essential in any crop development project. Forty-one rice genotypes including bacterial blight (BB) resistant and susceptible checks were assessed for 13 morphological traits. Among the genotypes, almost all the traits exhibited highly significant variation. The higher extent of genotypic (GCV) as well as phenotypic coefficients of variation (PCV) were noticed for number of tillers hill−1, total number of spikelets panicle−1, number of filled grains panicle−1, and yield hill−1. High heritability together with high genetic advance was observed for total number of spikelets panicle−1, number of filled grains panicle−1, and yield hill−1 indicating dominant role of additive gene action in the expression of these traits. Number of filled grains panicle−1 exhibited positive correlation with most of the traits. Yield hill−1 showed a good number of highly significant positive correlations with number of filled grain panicle−1, total number of spikelets panicle−1, 1000 grain weight hill−1, number of panicle hill−1, and panicle length. The UPGMA dendrogram divided all the genotypes in to six major clusters. The PCA showed 13 morphological traits generated about 71% of total variation among all the genotypes under this study. On the basis of 13 morphological traits, genotypes such as IRBB2, IRBB4, IRBB13, IRBB21, and MR263 could be hybridized with genotypes MR84, MR159, MRQ50, MRQ74, PH9 and IR8 in order to develop suitable BB resistant rice genotypes

Economic Statistical Design Of (X)Over-Bar Control Charts For Systems With Gamma (Lambda,2) In-Control Times

In this paper, gamma (lambda,2) distribution is considered as a failure model for the economic statistical design of (x) over bar control charts. The study shows that the statistical performance of control charts can be improved significantly, with only a slight increase in the cost, by adding constraints to the optimization problem. The use of an economic statistical design instead of an economic design results in control charts that may be less expensive to implement, that have lower false alarm rates, and that have a higher probability of detecting process shifts. Numerical examples are presented to support this proposition. The results of economic statistical design are compared with those of a pure economic design. The effects of adding constraints for statistical performance measures, such as Type I error rate and the power of the chart, are extensively investigated