Investigation of electrical properties for cantilever-based piezoelectric energy harvester

In the present era, the renewable sources of energy, e.g., piezoelectric materials are in great demand. They play a vital role in the field of micro-electromechanical systems, e.g., sensors and actuators. The cantilever-based piezoelectric energy harvesters are very popular because of their high performance and utilization. In this research-work, an energy harvester model based on a cantilever beam with bimorph PZT-5A, having a substrate layer of structural steel, was presented. The proposed energy scavenging system, designed in COMSOL Multiphysics, was applied to analyze the electrical output as a function of excitation frequencies, load resistances and accelerations. Analytical modeling was employed to measure the output voltage and power under pre-defined conditions of acceleration and load resistance. Experimentation was also performed to determine the relationship between independent and output parameters. Energy harvester is capable of producing the maximum power of 1.16 mW at a resonant frequency of 71 Hz under 1g acceleration, having load resistance of 12 k Omega. It was observed that acceleration and output power are directly proportional to each other. Moreover, the investigation conveys that the experimental results are in good agreement with the numerical results. The maximum error obtained between the experimental and numerical investigation was found to equal 4.3%

INVESTIGATING THE DETERMINANTS OF FACULTY JOB SATISFACTION UNDER THE MODERATING ROLE OF LIFE SATISFACTION: A STUDY OF PRIVATE SECTOR UNIVERSITIES OF PAKISTAN

 Current study investigates the determinants of faculty job satisfaction in private sector universities of Pakistan. Furthermore, this study inquires the moderating role of life satisfaction on faculty job satisfaction. Approximately 500 questionnaires were distributed among the faculty members of W category private sector universities, out of 500 questionnaires, 430 were received and 396 were found to be completely filled as per criteria. After applying the statistical tools of SPSS 23, it was confirmed that motivational and hygienic factors have significant and positive relationship with faculty job satisfaction. Moreover, the results proved that impact of life satisfaction did not moderate the relationship of faculty job satisfaction with motivational factors as well as hygienic factors. The results of the study can be generalized to other universities as well as other sectors of the Pakistan. The framework of the study can be applied to compare the faculty job satisfaction level of public and private sector universities

INVESTIGATING THE DETERMINANTS OF FACULTY JOB SATISFACTION UNDER THE MODERATING ROLE OF LIFE SATISFACTION: A STUDY OF PRIVATE SECTOR UNIVERSITIES OF PAKISTAN

 Current study investigates the determinants of faculty job satisfaction in private sector universities of Pakistan. Furthermore, this study inquires the moderating role of life satisfaction on faculty job satisfaction. Approximately 500 questionnaires were distributed among the faculty members of W category private sector universities, out of 500 questionnaires, 430 were received and 396 were found to be completely filled as per criteria. After applying the statistical tools of SPSS 23, it was confirmed that motivational and hygienic factors have significant and positive relationship with faculty job satisfaction. Moreover, the results proved that impact of life satisfaction did not moderate the relationship of faculty job satisfaction with motivational factors as well as hygienic factors. The results of the study can be generalized to other universities as well as other sectors of the Pakistan. The framework of the study can be applied to compare the faculty job satisfaction level of public and private sector universities

Public Transportation Improvement Validation Model for Metropolitan City Karachi

Any metropolitan city is identified by its effective operational transportation modes. In between that, public transportation plays vital role for getting the proper scale of the economy and in all aspects. Lesser the rate of vehicle ownership increases the improvement rate in public transport system. But the system should be linked with the effective controlled strategy that resembles with the meaningful and user friendly environment. Choice of mode of transport is selected by the road user which in turn dependent on the facilities provided in the passenger cars. Unfortunately the system of public transportation is diversified due to number of reasons. This not only predominates the Enforcement action but transforms the Engineering measures as well. According to the survey, more than 80% road users are the direct passengers of Buses and Mini buses. Not only that, they are forced to use more than two vehicles during the whole day for their complete trip accommodation. Apart from that, users are not satisfied with the existing network due to several reasons. These include improper route network, illegal work imposition, imbalanced fare collection, adverse vehicle condition, lack of Engineering and Enforcement measures etc. This paper focuses on the main legendary actions that need to be adopted by concerned stakeholders for the effective public transportation system. For the sake of reason, a detailed public opinion survey has been done in which number of associated matters is discussed and recommendations are formulated based on the analyzed results in the paper. The thematic idea of the paper also covers the balanced between the improvement in existing condition and bringing the new innovative solutions that are more realistic to the nature of local users of Karachi city

Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features

Breast cancer is one of the leading causes of death among women across the globe. It is difficult to treat if detected at advanced stages, however, early detection can significantly increase chances of survival and improves lives of millions of women. Given the widespread prevalence of breast cancer, it is of utmost importance for the research community to come up with the framework for early detection, classification and diagnosis. Artificial intelligence research community in coordination with medical practitioners are developing such frameworks to automate the task of detection. With the surge in research activities coupled with availability of large datasets and enhanced computational powers, it expected that AI framework results will help even more clinicians in making correct predictions. In this article, a novel framework for classification of breast cancer using mammograms is proposed. The proposed framework combines robust features extracted from novel Convolutional Neural Network (CNN) features with handcrafted features including HOG (Histogram of Oriented Gradients) and LBP (Local Binary Pattern). The obtained results on CBIS-DDSM dataset exceed state of the art

FRACTURE ANALYSIS AND RESERVOIR POTENTIAL OF EXPOSED EOCENE SUCCESSIONS ALONG KOHAT-ORAKZAI TRANSACT KHYBER PAKHTUNKHWA, NW PAKISTAN

The present research work is primarily focusing on fracture analysis of exposed Eocene limestone to estimate the reservoir potential by Monte Carlo Techniques. The methodology implemented is the scanline method which were used for fracture data collections during field work. Three stations were selected for fracture data which consists of 30 scanlines for comprehensive petrophysical properties i.e., fracture density, porosity, and permeability. The computer software was used for interpretation of fracture orientation data. The interpretation demonstrates two prevailing fracture sets existing in the study area which have average NE and NW strike. However, the correlation between their properties is documented based on charts. The consequence specifies that the correlation between density and porosity is variable although the density and permeability is linear. The qualitative classification was based on NFR system analyzed for the reservoir potential which shows very defective correlation whereas fractures provide flexible assistance and does not offer significant additional porosity and permeability. Thus, it occurs from type 4 to type 3 NFR system of classification

Teaching the \u27comprehensive dental care\u27 in formative years of education and training: A new model for dental internship

There is a need of a new model of education and training to be implemented in the Bachelors of Dental Surgery curriculum in the relevant Pakistani institutions. The current review article was planned to suggest such a model in the light of literature aimed at building the capacity of dental graduates in a competency-driven approach with the objective of offering safe, efficient and comprehensive care to dental patients. The outcome of the reforms suggested shall prepare dental graduates suitably geared towards providing community-oriented family dental care right from their formative years. Moreover, the suggested internship model can also help to address the issue of inefficiency related to patient-care

An environmental‐friendly green energy system with a real wind speed prediction based on innovative hierarchical forecast error correction model

Precise forecasting of wind speed is an important technology to permit the reliable and efficient operation of sustainable energy system. Here, the authors offer an effective windspeed prediction (EWSP) technique based on advanced forecast error correction model(AFECM). Ramapuram, Chennai is selected to fit the wind-energy-based systems and ENNORE thermal power station, Chennai is selected to decrease the carbon footprints. In the proposed technique, the error correction model is made to produce the final forecast. The proposed wind speed prediction based on innovative hierarchical forecast error correction model reveals that with the proposed AFEC+MSVM technique, the hourly aver-age RMSEs, MADs, MSEs and MAPEs in Delivery 24 are decreased by 2.277%, 1.012%,0.234%, and 1.245 % as compared to the normal SVM technique, while with AFEC+SVM method, average errors in RMSEs, MADs, MSEs and MAPEs in Delivery-24 are reduced by 3.385%, 2.056%, 1.956% and 2.546% as compared with the normal SVM technique, whereas the forecasting errors with AFEC+BP method, the middling errors in RMSEs, MADs, MSEs and MAPEs in Delivery-24 are decreased by 2.867%, 1.654%, 1.834% and2.298%, compared with simple BP method. The study displays that 1,485,550 kg CO2emission is decreased from the ENNORE thermal power plant.Deanship of Scientific Research, Majmaah University, Grant/Award Number: R-2021-27

Wet environmental conditions affecting narrow band on-body communication channel for WBANs

© 2018 Old City Publishing, Inc. Wireless Body Area Networks (WBANs) are rising as the key building blocks of next generation networks in modern health care systems. Research in recent years has focused on channel modelling, energy conservation and design of efficient Medium Access Control (MAC) schemes for WBANs. However, less attention has been paid to the on-body channel propagation analysis. This paper presents the propagation effects of wet clothing on the on-body channel at 0.9GHz, 1.8GHz and 2.5GHz and is germane to signal budgets in body-centric and mobile communication systems. A number of transmission measurements between simple monopoles above a square ground plane, placed on the opposing shoulder and hip, wearing single and multi-layered “rainwater wet” and dry cotton T-Shirts for standing, bending, torso left and right are used to gain insight into general levels of the effect of rainwater on propagation. Measured results are statistically processed to extract the level of transmission enhancement due to a wet on-body channel. Results show that wet clothing is generally beneficial to the channel at popular mobile communications frequencies

Self-Configurable Current-Mirror Technique for Parallel RGB Light-Emitting Diodes (LEDs) Strings

Traditional current-mirror circuits require buck converter to deal with one fixed current load. This paper deals with improved self-adjustable current-mirror methods that can address different LED loads under different conditions with the help of one buck converter. The operating principle revolves around a dynamic and self-configurable combinational circuit of transistor and op-amp based current balancing circuit, along with their op-amp based dimming circuits. The proposed circuit guarantees uniformity in the outputs of the circuit. This scheme of current-balancing circuits omitted the need for separate power supply to control the load currents through different kinds of LEDs, i.e. RGB LEDs. The proposed methods are identical and modular, which can be scaled to any number of parallel current sources. The principle methodology has been successfully tested in Simulink environment to verify the current balancing of parallel LED strings