Telecommunication Education Environment and its Optimal Usage

Students in introductory communication theory classes can benefit from a well-planned laboratory component. Such that TIMS lap equipments which can handle a wide variety of experiments ranging from analog baseband to pass-band digital communications. These papers describe three advanced laboratory tasks with their optimized manuals designed by Al Salman Ahmed at Brno University of technology. Two are based on the simulation software TutorTIMS to implement Eye patterns, Signal Constellations, and the third is based on the Biskit hardware to implement Quadrature phase shift keying (QPSK).Students in introductory communication theory classes can benefit from a well-planned laboratory component. Such that TIMS lap equipments which can handle a wide variety of experiments ranging from analog baseband to pass-band digital communications. These papers describe three advanced laboratory tasks with their optimized manuals designed by Al Salman Ahmed at Brno University of technology. Two are based on the simulation software TutorTIMS to implement Eye patterns, Signal Constellations, and the third is based on the Biskit hardware to implement Quadrature phase shift keying (QPSK).

Intrauterine Misoprostol versus intravenous Oxytocin infusion during cesarean delivery to reduce intraoperative and postoperative blood loss: a randomised clinical trial

Background: The objective of the present study was to compare the efficacy of intrauterine misoprostol with intravenous oxytocin infusion in reducing blood loss during and after cesarean section (CS).Methods: An open, randomized, clinical trial, registered (ClinicalTrials.gov ID: NCT03148574) conducted between July 1, 2017 and April 1, 2018. The study included 240 pregnant females that were recruited at term (37-40 weeks) gestation scheduled for either elective or emergency CS. Eligible participants were randomly allocated into two equal groups: Group A: patients who receive intravenous infusion of 10 I.U diluted to 500ml of normal saline for 30 minute after delivery. Group B: patients received 400μg misoprostol intrauterine just after cord clamping and delivery of the placenta. Primary outcome measure was assessment of amount of intraoperative and postoperative blood loss.Results: The intraoperative and 2h postoperative blood loss in the misoprostol group was higher than oxytocin group (p<0.001). Hemoglobin level decreased significantly among both groups, manifested by the highly significant p value in comparison of pre and postoperative Hb level in the two groups (p<0.001). However, the blood loss in the misoprostol group was higher than oxytocin group (p=0.004). There was a statistical significant differences between both groups as regards the need for additional uterotonic drug (66% in misoprostol group vs 5% in oxytocin group, P<0.001). Shivering and pyrexia were more in common in the misoprostol group while vomiting, headache and giddiness were significantly higher among oxytocin group.Conclusions: Administration of misoprostol 400mcg through intrauterine route appears to be less effective than intravenous oxytocin infusion in reducing blood loss during and after CS

Energy Efficiency Prediction using Artificial Neural Network

Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on a dataset for building energy performance. The main factors for input variables are: relative compactness, roof area, overall height, surface area, glazing are a, wall area, glazing area distribution of a building, orientation, and the output variables: heating and cooling loads of the building. The dataset used for training are the data published in the literature for various 768 residential buildings. The model was trained and validated, most important factors affecting heating load and cooling load are identified, and the accuracy for the validation was 99.60%

Handwritten Signature Verification using Deep Learning

Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline signature verification is not efficient and slow for a large number of documents. To overcome the drawbacks of offline signature verification, we have seen a growth in online biometric personal verification such as fingerprints, eye scan etc. In this paper we created CNN model using python for offline signature and after training and validating, the accuracy of testing was 99.70%

Rice husk templated water treatment sludge as low cost dye and metal adsorbent

AbstractThe preparation of adsorbents at low cost as alternatives to the expensive ones in the treatment processes of water and wastewater is the interest of the researchers worldwide. Here, a novel cheap mesoporous adsorbent was prepared via the recycling of wastes namely water treatment sludge and rice husk (RH) as textural modifier. Surface area and pore dimensions were optimized against RH ratio. The mesoporous sludge was employed in adsorption of rosaniline dye, Pb2+, Ni2+ and chlorine from aqueous solutions under dynamic experimental conditions. It was found that the initial dye concentration and textural structure of the adsorbent played important roles in adsorption capacity. The reusability test shows the ease desorption of dye with slightly alkaline water (pH=8) indicating the stability and reusability of the ceramic adsorbent for several times. For metallic cations, the characteristics (ionic radius and ΔHhyd) of ions affect the adsorption affinity. Chlorine adsorption is controlled by the cation exchange capacity(CEC)

High-Porosity Metal Foams: Potentials, Applications, and Formulations

This chapter is aimed as a concise review, but well-focused on the potentials of what is known as “High-porosity metal foams,” and hence, the practical applications where such promising media have been/can be employed successfully, particularly in the field of managing, recovering, dissipating, or enhancing heat transfer. Furthermore, an extensive comparison is conducted between the formulations presented so far for the geometrical and thermal characteristics concerning the heat and fluid flow in open-cell metal foams

Recursive residuals for linear mixed models

This paper presents and extends the concept of recursive residuals and their estimation to an important class of statistical models, Linear Mixed Models (LMM). Recurrence formulae are developed and recursive residuals are defined. Recursive computable expressions are also developed for the model’s likelihood, together with its derivative and information matrix. The theoretical framework for developing recursive residuals and their estimation for LMM varies with the estimation method used, such as the fitting-of-constants or the Best Linear Unbiased Predictor method. These methods are illustrated through application to an LMM example drawn from a published study. Model fit is assessed through a graphical display of the developed recursive residuals and their Cumulative Sums

HARDNESS REMOVAL FROM DRINKING WATER

This study included three trials that were made during December 2003 by using lime, of 98% w/w calcium hydroxide to find the relation between lime doses to be added and the hardness removed .The trials were performed by adding various doses of lime and measuring the hardness, electrical conductivity and pH in water produce by three plants, Nissan in the north of Baghdad, Al-Karama and Al-Wathba water treatment plant in Baghdad center. The objective of this study is to find the optimum lime dose that gives the minimum hardness content. The results indicate a non linear relation between lime dose added and the hardness removed . The results represented a 36% removal in hardness when using an optimum dose of lime 200 ppm in Nissan water treatment plant, while a percentage removal of 34% was obtained in both Al- Karama and Wathba water treatment plants with 300 ppm dose of lime. The low percentage removal indicates the presence of non-carbonate hardness which could not be removed by lime alone