Miracle-dz/UniFAR-FTUs huggingface dataset:
Helping Engineering Academics to Undertake Education Research: A Model for Practice

Abstract The traditional research backgrounds of engineering academics do not adequately prepare them to conduct quality education research. Nevertheless, there is institutional pressure on these academics to take a scholarly approach to teaching and conduct education research. What is required is an effective strategy to systematically help engineering academics to innovate, evaluate and publish education research and scholarship. This paper explores one model for structuring activities to help engineering and science academics develop their practices of education research. It is argued that the proposed Model for Action and Learning in Engineering Education Research (MALEER) presented is an effective strategy to prepare engineering academics to conduct quality education research. An initial model was developed, situated in various bodies of literature including communities of practice, professional identity development and becoming a professional, adult learning and reflection in and on action. It was then trialled with an engineering and science education research group set-up to help academics develop their education research practice. Evidence of the success of MALEER was drawn from the reflections of the coordinators of the group and the groups’ developed practices and outcomes.
Simplified control method for the single-phase active power filter

A simplified control method for the single-phase active power filter is proposed. This method has the advantages of using only one current sensor, a simple control circuit and low implementation cost. A model of this method is derived. A prototype is also developed to demonstrate the performance of this method. The test results show that the proposed active power filter has the expected performance.
Phrase Embedding and Clustering for Sub-Feature Extraction from Online Data

Recently, online user-generated data has been used as an efficient resource for customer analysis. In the product design area, various methods for analyzing customer preference for product features have been suggested. However, most of them focused on feature categories rather than product components which are crucial in practical applications. To address that limitation, this paper proposes a new methodology for extracting part-level features from online data. First, the method detects phrases in the data and filtered them using product manual documents. The filtered phrases are embedded into vectors, and then they are divided into several groups by two clustering methods. The resulting clusters are labeled by analyzing items in each cluster. Finally, cue phrases for sub-features are obtained by selecting clusters with labels representing product features. The proposed methodology was tested on smartphone review data. The result provides feature clusters containing sub-feature phrases with high accuracy. The obtained cue phrases will be used in analyzing customer preferences for part-level features and this can help product designers determine the optimal component configuration in embodiment design.
E-Bayesian Estimation for Kumaraswamy Distribution Using Progressive First Failure Censoring

Received: 14 May 2021 Accepted: 10 August 2021 This paper develops a Bayesian analysis in the context of progressive first failure censoring from the two-parameter Kumaraswamy distribution. The Bayesian and EBayesian estimations based on progressive first failure censoring are derived for the unknown parameters and some survival time parameters (reliability and hazard functions). The estimates are obtained based on Al-Bayyati loss, general entropy loss and LINEX loss functions. The properties of E-Bayesian estimation are given. The Bayesian and E-Bayesian estimations are compared via a Monte Carlo simulation study. Finally, a numerical example is established to clear the theoretical procedures.
Inverse Analysis of Pavement Structural Properties Based on Dynamic Finite Element Modeling and Genetic Algorithm

With the movement towards the implementation of mechanistic-empirical pavement design guide (MEPDG), an accurate determination of pavement layer moduli is vital for predicting pavement critical mechanistic responses. A backcalculation procedure is commonly used to estimate the pavement layer moduli based on the non-destructive falling weight deflectometer (FWD) tests. Backcalculation of flexible pavement layer properties is an inverse problem with known input and output signals based upon which unknown parameters of the pavement system are evaluated. In this study, an inverse analysis procedure that combines the finite element analysis and a population-based optimization technique, Genetic Algorithm (GA) has been developed to determine the pavement layer structural properties. A lightweight deflectometer (LWD) was used to infer the moduli of instrumented three-layer scaled flexible pavement models. While the common practice in backcalculating pavement layer properties still assumes a static FWD load and uses only peak values of the load and deflections, dynamic analysis was conducted to simulate the impulse LWD load. The recorded time histories of the LWD load were used as the known inputs into the pavement system while the measured time-histories of surface central deflections and subgrade deflections measured with a linear variable differential transformers (LVDT) were considered as the outputs. As a result, consistent pavement layer moduli can be obtained through this inverse analysis procedure.
The implementation of an ISO 9000 quality system

This paper indicates that ISO 9000 elements that relate to an organization quality system are hard to implement compared to elements that relate to operational procedures. The elements that are identified as difficult to implement and related to an organization quality system are: corrective and preventive actions, design control, management responsibility, statistical techniques, process control, document and data control and quality system. The elements that are perceived as easy to execute are: inspection and test status, packaging, preservation, and delivery, and inspection and testing. In addition, it has been found that companies that market their products in Europe, or engage in intense interaction with foreign partners, perceive a lesser degree of difficulty in practising the requirements of ISO 9000 series of standards compared to companies that do not have fair market share in Europe, or lack of foreign interactions. This argument works for companies with different ranges of paid‐up capital or operating years.
Comparison of Soil Water Retention Functions for Humid Tropical Soils

The determination of soil hydraulic properties is of paramount importance as they are needed in many models of water and solute transport in soils, however conventional methods are quite difficult, expensive and sometimes cumbersome to use. Most studies of soil water retention functions are for temperate soils and their soil water retention curve (SWRC) cannot be extrapolated to tropical region, as such this study focused solemnly on SWRC of soils of tropical region (Malaysia and Indonesia to be specific). The analytical models of Brooks & Corey, van Genuchten and Kosugi were applied to model the SWRC for humid tropical soils, parameters of the three models were optimised by fitting them to 191 soil samples, of 10 different classes (International society of soil science classification) using VBA & MS excel solver add in. A comparison of the fitting capabilities and model quality was made using the sum of square of errors (SSQE) between observed and modelled values and, Akaike information criterion (AIC) respectively. The Kosugi model was found to describe the SWRC of the tropical soil samples better than the other models, as it has the lowest SSQE and AIC values.
Analysis of Performance and Control of DC Microgrids as Electricity Providers for Renewable Energy

The increase in demand for electrical energy is increasing rapidly, in line with economic growth. In developing the electricity system, electrical energy service providers must provide electrical energy according to demand with good quality. The generation of conventional electric energy systems that use fossil fuels faces depleting fossil fuel sources, poor efficiency, and environmental pollution. This technology is known as Distributed Generation (DG). Distributed Generation (DG) or Micro Grid (MG) is a small-scale power plant located close to the load. The use of distributed generators can improve the entire system's efficiency, reduce transmission losses, reduce pollution, and ensure the continuity of the distribution of electrical energy. However, the drastic increase in the use of DG causes problems in the form of voltage and frequency stability which will be disturbed due to rapid changes in the generation and loading rates. If this is left unchecked, it can harm system security and reliability. A proper control strategy will restore system stability in the event of an imbalance.
Dynamic core length in saturated core fault current limiters

A saturated core fault current limiter (SCFCL) is a non-linear core-reactor where the core is saturated by an external superconducting DC bias source to achieve a low core permeability at nominal AC currents. Fault current levels in the AC coils de-saturate the core and transform it to a higher permeability state, hence limiting the fault current. In this work we describe the transition between saturated and de-saturated states in three SCFCL configurations. The ‘effective core length’, Leff, of the SCFCL, defined as the length of the de-saturated AC core limb, is introduced for exploring this transition as a function of the current, I, in the AC coil. Practically, Leff allows one to see the SCFCL as an inductor with a variable core length, allowing calculations of the impedance of the SCFCL over the whole range of operating currents. The Leff(I) curve is further used to calculate the dynamics of the demagnetization factor in a SCFCL. We show that the strong change in the magnetic induction of a SCFCL at high current is the result of both increasing the effective core length and decreasing the demagnetization factor. The method and results presented here serve as an important tool for comparing between various SCFCL concepts not only by comparing their impedance values at the extreme fault and nominal current conditions but also by providing an insight into the full de-saturation process.
Corticoreticular Pathway in Post-Stroke Spasticity: A Diffusion Tensor Imaging Study

One of the pathophysiologies of post-stroke spasticity (PSS) is the imbalance of the reticulospinal tract (RST) caused by injury to the corticoreticular pathway (CRP) after stroke. We investigated the relationship between injuries of the CRP and PSS using MR diffusion tensor imaging (DTI). The subjects were divided into spasticity and control groups. We measured the ipsilesional fractional anisotropy (iFA) and contralesional fractional anisotropy (cFA) values on the reticular formation (RF) of the CRP were on the DTI images. We carried out a retrospective analysis of 70 patients with ischemic stroke. The cFA values of CRP in the spasticity group were lower than those in the control group (p = 0.04). In the sub-ROI analysis of CRP, the iFA values of pontine RF were lower than the cFA values in both groups (p < 0.05). The cFA values of medullary RF in the spasticity group were lower than the iFA values within groups, and also lower than the cFA values in the control group (p < 0.05). This results showed the CRP injury and that imbalance of RST caused by CRP injury was associated with PSS. DTI analysis of CRP could provide imaging evidence for the pathophysiology of PSS.
Design of Compact Reconfigurable Antenna Array for WLAN Applications

─ In this communication, a compact design of a reconfigurable antenna array operating in the band IEEE 802.11a is presented. The proposed antenna array contains four radiating elements excited by a hybrid parallel-series-feed network. The hybrid feed technique is used to avoid the main beam squint due to frequency changes compared to series and parallel array feed topologies. Each of the four radiating elements consists of straight narrow strip inductor in parallel with an interdigital capacitor. The antenna resonant frequency is electronically controlled by placing PIN diodes switches at the resonant element's inputs. The antenna permits reconfigurable switching frequency bands between 5.25 and 5.82 GHz. The results of the return loss and pattern radiation are shown. The size of the whole antenna structure is about 64 × 18 mm and can potentially be used in wireless systems. Index Terms ─ Antenna array, hybrid feed, reconfigurable, miniaturized.
A Generation Control of Arbitrary AC Waveforms for the Single-phase Voltage Source PWM Inverter Utilizing an Adaptive Frequency Loss-less Resonator

Power supplies used on the electric power environment test process for electronic products and audio-amplifiers are required to generate arbitrary ac voltage waveforms in the wide frequency range. Traditionally, analogue amplifier technologies have been used for those application even though those have the disadvantages of low-efficiency, bulky in volume, and heavy in weight. Recently, however, research on the arbitrary waveform power generator becomes to be attractive among power electronics engineers, because the audio amplifiers utilizes the D-Mode switching technologies have been move into the market. This paper presents an arbitrary ac power generator utilizes a novel instantaneous waveform control method for a single-phase voltage source PWM inverter. Fig. 1 shows the proposed system. Table 1 shows the circuit parameters. Switching frequency is set to 14 kHz. A main circuit is composed by a general single-phase voltage source PWM inverter with output LC filter. A remarkable feature of this study is the control circuit that an adaptive frequency lossless resonator based on a rotation frame transformation and a command generator on the rotation frame are used. The proposed filter can suppress the resonance caused by the LC filter, and hence it enables to generate an arbitrary ac voltage waveforms like a triangular voltage waveform or a rectangular voltage waveform without overshoot or oscillation. The command generator generates both an instantaneous frame angle and accurate voltage commands on the rotating frame from an single-phase analogue signal. Fig. 2 shows the experimental results when a triangular voltage waveform and a rectangular voltage waveform is generated through 500 W experimental set-up. Although the damping coefficient is set to 0.27, the experimental results show that arbitrary ac voltage waveforms can be accurately generated with small control error, vr − vo. Table 1. Parameters
Videooptical Surface Shape and Integrity Estimation in Robots Machining

Paper shows system to surface shape and quality control in machining using industrial robot. To surface control videooptical methods were used. Surface shape was controlled using the special reverse engineering system. To surface roughness measure machined surface reflectivity method was used. Used own constructions non contact system was equipped with red laser light and USB camera. Wrist of robot was equipped with grinding tool. In paper shows some algorithms of presented processes. Shown too examples of experiments results in surface roughness measure in start end of grinding process. First trials of presented system shows possibility to build smart machining system for finishing of surface with unknown shape.
Research on Performance of Unidirectional Links Routing Protocal With Different Mobility Models

In the Mobile ad hoc network, most routing protocols assume that all wireless links are bidirectional, but such assumptions may lead to sub-optimal performance in conditions of non-uniform transmit power and non-uniform background noise. We present a scheme improved from Ad Hoc Ondemand Distance Vector (AODV), which computes routing path using backup routing table and Backtrack Route Reply mechanism when subjected to unidirectional links. Each node maintains a backup path to the source node, and when the backup path is unavailable, the node will backtrack to last hop to find the alternative path to the source. Compared to basic AODV and AODV-Blacklist schemes, simulation results show that the more unidirectional links exist the better the proposed scheme performs, and under different mobility models, the performances metric are significant difference.
Simulation/Optimization Modeling for Water Resources Management

Many important advances have been made in the development of mathematical models for conjunctive water management and reservoir management. However, the conjunctive use models that have detailed stream/aquifer system interactions have not considered reservoir management rules. Conversely, reservoir management models have not simulated stream/aquifer interactions in detail. There is a need for enhanced linking of reservoir and stream/aquifer systems in conjunctive water management models. This paper presents a simulation/optimization model that integrates linear reservoir decision rules, detailed simulations of stream/aquifer system flows, conjunctive use of surface and ground water, and delivery via branching canals to water users. The linear decision rule is an example of a rule that has been widely discussed in reservoir operation literature and is simple to program. State variables, including aquifer hydraulic head, streamflow, and surface water/aquifer interflow, are represented through discretized co.
How project duration, upfront costs and uncertainty interact and impact on software development productivity? A simulation approach

Identifying impact factors on software development productivity and the static relations between the impact factors and performance has been the main focus in the literature. Insight into the dynamic relation between key factors and performance dimensions would expand and complement the conventional wisdom on software development productivity. This is the first study to present such dynamic relationship based on an Analytical Theory of Project Investment. Through simulation, we have demonstrated the dynamic relationship between project duration, the uncertainty level of the perceived project value, the fixed project upfront cost and software development productivity. The findings provide practitioners with insight into how these factors interact and impact on software development project productivity.
Analysis on Fracture reason of 20CrMo Driving Shaft

The fracture reason of a driving shaft used motorcycle engine was analyzed by means of macroscopic examination, chemical analysis, fracture analysis, hardness testing. The results showed that the fatigue fracture mode was determined and incomplete hardening of the axis and increasingly growing load were the main reasons which accelerated the fatigue fracture of the driving shaft. Keywords-fracture; martensite; carburizing; quenching; driving shaft
Oleanolic Acid Alleviates Atopic Dermatitis-like Responses In Vivo and In Vitro

Oleanolic acid (OA) is a pentacyclic triterpenoid, abundantly found in plants of the Oleaceae family, and is well known for its beneficial pharmacological activities. Previously, we reported the inhibitory effect of OA on mast cell-mediated allergic inflammation. In this study, we investigated the effects of OA on atopic dermatitis (AD)-like skin lesions and its underlying mechanism of action. We evaluated the inhibitory effect of OA on AD-like responses and the possible mechanisms using a 1-chloro-2,4-dinitrochlorobenzene (DNCB)-induced AD animal model and tumor necrosis factor (TNF)-α/interferon (IFN)-γ-stimulated HaCaT keratinocytes. We found that OA has anti-atopic effects, including histological alterations, on DNCB-induced AD-like lesions in mice. Moreover, it suppressed the expression of Th2 type cytokines and chemokines in the AD mouse model and TNF-α/IFN-γ-induced HaCaT keratinocytes by blocking the activation of serine-threonine kinase Akt, nuclear factor-κB, and the signal transducer and activator of transcription 1. The results demonstrate that OA inhibits AD-like symptoms and regulates the inflammatory mediators; therefore, it may be used as an effective and attractive therapeutic agent for allergic disorders, such as AD. Moreover, the findings of this study provide novel insights into the potential pharmacological targets of OA for treating AD.
Hybrid overlay metrology with CDSEM in a BEOL patterning scheme

Overlay metrology accuracy is a major concern for our industry. Advanced logic process require more tighter overlay control for multipatterning schemes. TIS (Tool Induced Shift) and WIS (Wafer Induced Shift) are the main issues for IBO (Image Based Overlay) and DBO (Diffraction Based Overlay). Methods of compensation have been introduced, some are even very efficient to reduce these measured offsets. Another related question is about the overlay target designs. These targets are never fully representative of the design rules, strong efforts have been achieved, but the device cannot be completely duplicated. Ideally, we would like to measure in the device itself to verify the real overlay value. Top down CDSEM can measure critical dimensions of any structure, it is not dependent of specific target design. It can also measure the overlay errors but only in specific cases like LELE (Litho Etch Litho Etch) after final patterning. In this paper, we will revisit the capability of the CDSEM at final patterning by measuring overlay in dedicated targets as well as inside a logic and an SRAM design. In the dedicated overlay targets, we study the measurement differences between design rules gratings and relaxed pitch gratings. These relaxed pitch which are usually used in IBO or DBO targets. Beyond this “simple” LELE case, we will explore the capability of the CDSEM to measure overlay even if not at final patterning, at litho level. We will assess the hybridization of DBO and CDSEM for reference to optical tools after final patterning. We will show that these reference data can be used to validate the DBO overlay results (correctables and residual fingerprints).
Intruder detection and recognition using different image processing techniques for a proactive surveillance

To innovate a proactive surveillance camera, there is a need for efficient face detection and recognition algorithm. The researchers used one of the ViolaJones algorithm and used different image processing techniques to recognize intruders or not. The goal of the research is to recognize the fastest way on how the homeowners will be informed if an intruder or burglar enters their home using a proactive surveillance device. This device was programmed based on the different recognition algorithms and a criteria evaluation framework that could recognize intruders and burglars and the design used was developmental research to satisfy the research problem. The researchers used the Viola-Jones algorithm for face detection and five algorithms for face recognition. The criteria evaluation was used to identify the best face recognition algorithm and was tested in a real-world situation and captured a series of images camera and processed by proactive face detection and recognition. The result shows that the system can detect and recognize intruders and proactively send a notification to the homeowners via mobile application. It is concluded that the system can recognize the intruders and proactively notify the household members using the mobile applications and activate the alarm system of the house.