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).

Vibration Signature of Roller Bearing’s Faults

Centrifugal pumps are widely used in many industrial applications. Defective pumps cause higher rate of energy loss with related overall performance degradation. Mechanical components fail due to decrease in pump’s strength or an increase in the force acting on it. Rolling bearings are one of the major components of the centrifugal pumps. Bearings are critical mechanical components in industrial machines. Bearing failure is often attributed to be one of the major causes of breakdown. Early detection of undesired conditions during the operation of the centrifugal pump has become very important in order to avoid consequential damages. Early detection is also vital for increasing availability and reliability. Automated health monitoring can reduce the outage time and repair costs. Using vibration analysis technique to monitor and evaluate the health of the machines has become an important technique in this field. In this research, we studied the vibration signatures of healthy and faulty conditions of the bearings of a pumping system. The pumping system consists of centrifugal pump and electrical motor. The vibration signatures analyze the bearing status with respect to the normal operation. The paper shows how to identify if there is a problem in the outer race of the Bearing Pass Frequency Outer Race (BPFO)

Electrical behavior and Optical Properties of Copper oxide thin Films

In this work the structural, electrical and optical Properties of CuO semiconductor films had been studied, which prepared at three thickness (100, 200 and 500 nm) by spray pyrolysis method at 573K substrate temperatures on glass substrates from 0.2M CuCl2•2H2O dissolved in alcohol. Structural Properties shows that the films have only a polycrystalline CuO phase with preferential orientation in the (111) direction, the dc conductivity shows that all films have two activation energies, Ea1 (0.45-0.66 eV) and Ea2 (0.055-.0185 eV), CuO films have CBH (Correlated Barrier Hopping) mechanism for ac-conductivity. The energy gap between (1.5-1.85 eV)

Clinical significance and treatment of striae gravidarum during pregnancy: a review article

Abdominal stretch marks found during pregnancy may be indicative of poor skin elasticity. One who does not have stretch marks may have better skin elasticity and may be less likely to tear perineal and vaginal tissue during vaginal delivery. Striae gravidarum (SG) is a common phenomenon of stretch marks observed during pregnancy that may be an indicator of poor skin elasticity. The type and amount of collagen in connective tissue are considered to determine the individual’s elastic index. The skin surface is made up of a complex network of crossing thin lines. The two-dimensional relationship between primary and secondary lines determines the skin texture and its grade of irregularity. SG is caused by changes in the structural connective tissue due to a hormonal elect on the alignment and reduced elastin and fibrillin in the dermis. Severity scoring of SG was observed using the numerical scoring system of Atwal. This score provides a rank based on observation of four areas in which SG is most commonly observed (abdomen, hips, buttocks, and breast)

Sexual behaviour of pregnant women attending antenatal care clinic at Assiut Women's Health Hospital, Egypt

Background: The aim of the current study was to describe the knowledge, attitudes, beliefs and behavior of pregnant women regarding sexuality during pregnancy. Study was carried out at Women’s Health Hospital, Assiut University, Egypt.Methods: A cross-sectional study included pregnant women at different gestational ages between December 2016 and Jun 2017 recruited consecutively at the antenatal outpatient clinic of women’s Health Hospital at Assiut University. We used the Arabic version of the Female Sexual Function Index (Ar-FSFI) in the interview to evaluate the sexual functions or problems during the last month. The cut-off score used to indicate sexual dysfunction was 28.1. The obtained data were analyzed by means of SPSS software (version 22.0) and p<0.05 was taken as the significant level.Results: The study included 140 pregnant women at different ages and trimesters and also at different socio-economic states. Concerning the level of knowledge, the classification in recorded a mean score =11.91±4.05 which revealed a level of knowledge below average. Regarding the extent of beliefs in relation to sexuality during pregnancy, the mean score=2.72 of the respondents’ beliefs means that the impact of the beliefs regarding sexuality during pregnancy was weak among respondents. On assessing their perceptions about sexual intercourse during pregnancy, majority of them [130 (93.1%)] felt that sex have no negative impacts on pregnancy while 10 (6.9%) opined that sex during pregnancy had negative effects. Perceived negative effects of sex during pregnancy included vaginal bleeding and miscarriage.Conclusions: The low rate of sexual activity in our study, regardless question about the taboo of sexual intercourse during pregnancy, could be related to a cultural background in which women avoid speaking about their desires and sexual needs

Detection of citrus leaf diseases using a deep learning technique

The food security major threats are the diseases affected in plants such as citrus so that the identification in an earlier time is very important. Convenient malady recognition can assist the client with responding immediately and sketch for some guarded activities. This recognition can be completed without a human by utilizing plant leaf pictures. There are many methods employed for the classification and detection in machine learning (ML) models, but the combination of increasing advances in computer vision appears the deep learning (DL) area research to achieve a great potential in terms of increasing accuracy. In this paper, two ways of conventional neural networks are used named Alex Net and Res Net models with and without data augmentation involves the process of creating new data points by manipulating the original data. This process increases the number of training images in DL without the need to add new photos, it will appropriate in the case of small datasets. A self-dataset of 200 images of diseases and healthy citrus leaves are collected. The trained models with data augmentation give the best results with 95.83% and 97.92% for Res Net and Alex Net respectively

Study a Structural Behavior of Eccentrically Loaded GFRP Reinforced Columns Made of Geopolymer Concrete

This study investigated a modern composite material, which is a short geopolymer concrete column (GPCC) reinforced by GFRP bars. The structural performances of GPCC subjected to eccentric load were studied and compared to the normal strength concrete column (NSCC) reinforced by steel bars. In this study, the primary experimental parameters were the reinforcement bars types, load eccentricity, and concrete types. Seven short columns were tested: three normal strength concrete columns reinforced by steel bars, three geopolymer concrete columns reinforced by GFRP bars and one normal strength concrete column without reinforcement. The model dimensions chosen in the present study was a square section of 130×130 mm and a total height of 850 mm. It was shown that the steel bars contribute about 16.47% of column capacity under concentric load. Comparing with the normal strength concrete column, a geopolymer concrete column reinforced by GFRP bars showed a little increase in ultimate load (5.17%) under concentric load. Under the load eccentricity of 130 mm, a geopolymer concrete column reinforced by GFRP bars showed a significant increase in the ultimate load (69.37%). Under large eccentricity, a geopolymer concrete column reinforced by GFRP bars has an outstanding effect on the columns' ultimate load capacity. Also, the sine form can be utilized for GPCC to find the lateral deflection along with the column high at different load values up to the failure

Risk management framework for build, operate and transfer (BOT) projects in Kuwait

Successful implementation of build-operate-transfer (BOT), infrastructure projects is dependent on a full and thorough analysis of factors that include social, economic and political, amongst others. Alongside the financially focused evaluations, qualitative factors will also have a strong impact on the project and so require specific techniques for the analysis. This paper presents a new evaluation framework, based on the analytical hierarchy process technique, for use in assessing the most common and significant decision factors relating to risks in BOT projects. Consultations with an expert group identified a series of risk decision factors. The results produced twenty-eight critical Risk Factors, which have a particular impact on the risks of BOT projects. The project risk framework was constructed by classifying the factors into five categories. The framework was successfully validated using a BOT project case study. This research seeks to make a valuable contribution to the field by having developed and validated a new risk evaluation framework, focused on BOT projects in Kuwait