Miracle-dz/UniFAR-FTUs huggingface dataset:
Solar photovoltaic based dynamic voltage restorer with DC-DC boost converter for mitigating power quality issues in single phase grid

ABSTRACT A new topology of photovoltaic (PV) based transformerless dynamic voltage restorer (TDVR) with high gain DC-DC boost converter is proposed to mitigate voltage sag and swell, interruptions, and unbalanced outages in single-phase grid. The proposed PV-DVR high DC-DC boost converter is comprised of one MOSFET switch and three inductors with second order generalized integrator (SOGI) based unit vector template (UVT) control to enhance the effectiveness of the system for grid-connected renewable applications. The high voltage (HV) gain is achieved by this proposed converter through its soft-switching ability and coupled inductor arrangement with continuous conduction mode (CCM). In the proposed high gain DC-DC converter, the MOSFET IRFP260 power switch is preferably used for low voltage stress and also minimum on-state resistance. The mathematical analysis of the proposed converter is also discussed in this paper. The proposed converter is interfaced with an SOGI-PLL controller with input voltage (24 V), output voltage (230 V), and power rating as 250 W with less number of both passive and active switches. Moreover, to validate the performance and advantage of the proposed converter, the system was simulated by using MATLAB-SIMULINK and laboratory 250 W prototype results are presented to show the effectiveness of the design to limit the voltage sag – 0.1 pu and swell – 1.9 pu and also THD% level within in ceiling limit prescribed in IEEE STD at the load side.
Two-dimensional bend sensing with a single, multi-core optical fibre

Measurement of two-dimensional bending in a structural element using intrinsic optical fibre strain gauges would normally require three sensors to be attached to, or embedded within, the structure. The same measurement can now be made using a single multi-core optical fibre, reducing deployment cost and increasing practicality. Fabrication of a novel three-core photonic crystal fibre is described. The ability of the fibre sensor to measure bend in two dimensions is demonstrated in the laboratory using interferometric interrogation at a single wavelength. Deployment of the sensor to measure the deformation of a bridge undergoing loading trials is described.
Human Resource Metrics for Enhancing Organizational Performance: Case of Indian State-owned Enterprises

As a result of a growing concern regarding agility, Human Resources (HR) has become one of the most challenging fields of management. State-owned enterprises (SOEs) face people-related issues, from attracting talent to managing performance, while creating employee experience. This article is an attempt to explore the pattern of usage of the HR metrics in Indian SOEs and to examine other metrics that need to be included as part of a strategic HR approach to enhance organizational performance. Primary data was collected using formal interviews with HR executives. The outcomes suggest that Indian SOEs are in the infancy stage when it comes to the adoption of HR metrics. It is important that Indian SOEs initiate the first-level of HR metrics and thereafter make planned progress to the third-level impact. Based on the study, a framework for sustainable and competitive HR is proposed. All of this has implications for SOEs in developing countries. JEL Codes: M12
Introducing mobile technology for enhancing teaching and learning to the English language classroom in Bangladesh

Introduction Mobile technology could have a significant role to play in educational development in the Global South (Banks, 2009; Banks et al, 2009; Onguko and Ngata, 2010). Recently, research has begun to focus upon mobile learning (e.g. Naismith et al, 2004), but the potential of mobile media players (for example, the iPod) is only recently being explored. It has been suggested that language learning is one of the disciplines particularly likely to benefit from widespread ownership of mobile devices such as phones and media players (KukulskaHulme, 2006). There are arguments and counter arguments whether it is appropriate to deployment of technologies for education, or not, in the Global South (Leach, 2008; Dhanarajan, 2001), but many governments from Africa, South Asia and South America are investing in different ICT enhanced educational projects (Leach et al, 2005; Power and Sankale, 2009).
Fluid-Structure Interaction Analysis of Flexible Marine Propellers

The present paper focuses on the fluid-structure interaction of flexible marine propellers. The aim is to develop a simulation method to predict the hydro-elastic performance. To compare with the experimental results, the geometry of propeller DTMB4119 is used. The solution procedure first computes the hydrodynamic pressures due to rigid-blade rotation via the BEM (Boundary Element Methods, BEM). The hydrodynamic pressures are then applied as external normal surface traction for the FEM (Finite Element Methods, FEM) solid model to obtain the deformed geometry. The commercial FEM code is then used to solve the equation of motion in the rotating blade-fixed coordinate system. User-defined subroutines are developed to generate FEM models using 8-node linear solid volumetric elements. Iterations are implemented between BEM and FEM solvers until the solution converges. This study shows that the simulation method developed in this paper is reasonable.
Sustainability Assessment of Australian Electricity Generation

Electricity generation systems have traditionally been evaluated using only a limited number of economic or environmental indicators, for example capital investment, generation cost or carbon dioxide emissions. Moreover, the evaluations have generally been restricted to performance within the geographic boundary of the power station. This paper reports a sustainability assessment of power generation from Australian fossil fuels, notably black coal, brown coal and natural gas. A range of key sustainability indicators incorporating environmental, economic and social performance are included. The system boundary incorporates fuel extraction, fuel transport to the power station, generation of power, and transmission of electricity to the point of use. Most commonly employed existing technologies and some promising advanced technologies for power generation are considered. The cases of exporting Australian LNG and black coal to Japan for power generation in that country have also been considered. No one fuel or technology system was superior or inferior for every indicator. However the following generalizations can be made: Natural gas combined cycle systems have advantages for the majority of environmental and economic indicators, brown coal has an advantage in terms of value added, and black coal has relatively poor safety performance.
Cascaded triplet filter using mixed electric and magnetic coupling structure with wide stopband performance

This article proposes a novel type of microstrip cascaded triplet filter with controllable electric and magnetic coupling. The electric coupling can be tuned by adjusting the gap between the resonators, while the magnetic coupling is dominated by the diameter of the via‐hole. A transmission zero on the upper stopband is produced by the inductive cross‐coupling. To further improve the selectivity of the filter, the source‐load coupling is also proposed to introduce two tunable transmission zeros. To expand the stopband, proper feeding position is selected to suppress the third and fifth harmonics. Based on the proposed structure, a third‐order filter are designed and fabricated. Good agreement between the measured and simulated data is obtained. Measured results indicate that a rejection level of 20 dB up to more than six times the passband frequency can be obtained. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:2937–2940, 2014
Characterising the radio propagation channel for smart antenna systems

Cellular communications have become the success story of the late 20th century. In just 15 years the global cellular subscriber base has grown to 60 million and it is forecast to exceed 350 million by early next century. This rapid growth has created the dichotomy for cellular operators of increasing pressure from customers to improve coverage, capacity and quality within their networks whilst the ever growing competition in the cellular marketplace demands that operational costs be reduced to the lowest possible level. One development which can assist network operators in reconciling these conflicting demands is the smart antenna. However, the successful deployment of smart antennas will require a much greater understanding of the characteristics of signals within the mobile/base-station transmission path. The measurement equipment described in this paper has enabled the acquisition of data which contributes significantly towards the understanding of these propagation path characteristics.
Study on Resistance Characteristics of Marine Moisture Filter

Based on the periodic features of structure and flow field, two periodic boundaries are used to study the combined filter. The three stages filters are taken as integration for numerical simulation to acquire the resistance characteristics, which provide a reasonable foundation for performance analysis and optimized design of the filter. The resistance characteristics under different operating conditions acquired by experiment are compared with numerical simulation results of two periodic boundaries. The comparison validates the high precision of the ensemble simulation method.
Why do we need an international standard for control rooms

Control rooms are to be found in process industries, military environments, emergency services, the security industry and the utilities, to name just a few applications. Such centres will range in size from a single operator to well over 200 operators. It is also self-evident that technological advance will differ from sector to sector. The standard now being written on the ergonomics of control room provides a base-line set of requirements for these rooms. It recognises that specialised tasks take place in these rooms and that task design, working environments need to support the activities being undertaken. The first part of this multipart standard addresses the key issue of the process which needs to be applied to ensure that appropriate level of ergonomics is applied to the various stages of the design process. The paper describes the general content of the forthcoming standard.
Seismic collapse analysis of reinforced concrete framed structures using the finite element method

A new finite element code using the Adaptively Shifted Integration (ASI) technique with a linear Timoshenko beam element is applied to the seismic collapse analysis of reinforced concrete (RC) framed structures. This technique can express member fracture as a plastic hinge located at either end of an element with simultaneous release of the resultant forces in the element. Contact between members is also considered in order to obtain results that agree more closely with actual behavior, such as intermediate‐layer failure. By using the proposed code, sufficiently reliable solutions have been obtained, and the results reveal that this code can be used in the numerical estimation of the seismic design of RC framed structures. Copyright © 2003 John Wiley & Sons, Ltd.
Does Cultural Similarity Affect Managerial Learning? Evidence from Corporate Acquisitions

This study examines whether the corporate cultural similarity between a target and an acquiring firm influences the acquiring managers’ decision to abandon a corporate acquisition attempt conditional on the acquiring firm's stock price reaction at the announcement of the deal. We find that higher cultural similarity decreases the propensity of acquiring managers to listen to the stock market. We use the inclusion in the annual list of the 100 Best Corporate Citizens as an exogenous shock to establish a causal link. We interpret the findings to imply that acquiring managers are subject to a confirmatory bias that leads them to give an overly optimistic valuation to target firms that share similar corporate culture. Therefore, cultural similarity between a target and an acquiring firm could have detrimental effects on the acquiring firm.
Management of a Conducive Classroom Environment: A Meta-synthesis

This paper reveals on a review of researches relating to management of a conducive classroom environment. Despite the volume of empirical studies, only 26 studies were relevant. The study utilized a meta-synthesis in order to establish a reliable evidence base for recommendation. To ensure that the review was systematic, the researcher carried out steps as recommended. A combination of coding and thematic analysis was used to analyze data. The researcher used the thematic analysis to understand the research questions in the present study on managing a conducive classroom environment. Structured course curriculum, empowered students, flexible classroom setting and enabled teachers are the themes that emerged in the study. Structured course curriculum tells about the organized instructional objectives, content, materials and process for evaluating learning. Empowered students are motivated to engaged in their education when their voices are heard and when they are seen as knowledgeable co-participants and decision makers capable of contributing related to their learning. Flexible classroom setting are space wherein learners can choose from different seating or standing options, locations within the learning space and the size group with which to work. Enabled Teachers are updated on ICT applications, language proficient, value-laden and constructivist educator that positively impacts student’s academic success. As a result, the study was able to come up with the quadratic elements of a conducive classroom environment. With all these elements, the researcher can conclude that a conducive classroom environment of the 21st century is attained and can facilitate students learning.
Nano-scale memristor SPICE implementation using ideal operational amplifier model

The conception of memristor is becoming increasingly prevalent due to its remarkable electronic properties. In this paper, a circuit model of the memristor using simple SPICE code is presented. An ideal closed-loop operational amplifier (OP-AMP) is applied to realize the feedback-controlled integrator, which expands the hitherto methods to solve the memristor’s modeling equations presented by HP Lab. The behaviors of the proposed memristor model in SPICE are investigated. The desired excitation source and initial condition of the doped state can both be easily tuned in the memristor model. Different pinched hysteresis loop i-v curves are presented through different stimulus like sinusoidal and square-wave voltage source.
Compact dual-band power divider with single allpass coupled lines sections

A compact dual-band power divider is presented. An allpass coupled lines section is used to realise the necessary impedance transformation at two selected frequencies. The design procedure, limitations and examples are provided first. To implement the design in microstrip, stepped-impedance coupled lines are used without changing the circuit size to compensate for the different even- and odd-mode phase velocities.
Compressive Sensing Application in Large Scale Ultrasound Medicine Imaging

We use a compressed sensing method to store and recover the large-scale ultrasound medicine radio-frequency (RF) signals generated from plane wave (PW). We investigate performance of reconstruction on different ultrasound post-beamformed data when performing compressed sensing with fewer measurement data. Reconstruction is performed using convex optimization algorithm. For a single channel sequence, the iteration processing is fast even not more than 20 times. RF data from Field II simulation of a phantoms and the plane-wave imaging challenge in medical ultrasound (PICMUS) data sets. Using the 50% measurement data, we get a closed approximate channel data. In term of mean-square-error, reconstruction on RF data performs well.
Creating Editorial Authority through Technological Innovation

This article considers a case in which editors created for themselves an amount of power and authority within an organization through technological innovation. Using retrospective analysis and e-mail interviews, the author discusses his own previous experience as a technical editor at a U.S. Government-run research facility when electronic editing was introduced and used. The introduction of electronic editing, the author argues, was an example of technological innovation, which, as other researchers have demonstrated, can create authority within an organization.
A HIGH-PERFORMANCE INTEGRATED HYDRODYNAMIC MODELLING SYSTEM FOR REAL-TIME FLOOD FORECASTING

Flooding is the most damaging and costly type of hydrometeorological hazards affecting millions of people every year across the world. Flood forecasting, and the subsequent warnings, with sufficient lead-time is an important means to enable society to reduce risk and mitigate loss. Over the last few decades, major advances have been made in the fields of numerical weather prediction (NWP) and high-performance flood inundation modelling. However, no effort has been made to integrate high-resolution NWP with the latest high-performance hydrodynamic models to step-change the current flood forecasting practice. This paper aims to fill this gap and develop and test a real-time forecasting system for short-range and intense rainfall induced floods across a large catchment. Driven by the NWP outputs from the UK Variable (UKV) resolution model, the full-scale flooding process from rainfall to inundation is predicted using a high-performance full 2D hydrodynamic model that is substantially accelerated using modern GPUs. On a 10m uniform grid, the proposed system is capable of providing accurate flood extent and water depth and providing 34 hours of lead time for the severe flood event induced by 2015 Storm Desmond over the 2500km 2 Eden Catchment in England. This demonstrates that the proposed forecasting system is feasible for predicting intense rainfall induced flooding at a catchment scale and may be applied to provide operational services.
Microfluidic channel with built-in photonic crystal nanolaser

We propose and demonstrate a new type of a photonic crystal nanolaser integrated into a microfluidic chip, which is fabricated by multilayer soft lithography. Experimentally, continuous-wave operation of the lasing action has been observed owing to efficient water-cooling. Characteristics of wavelength tuning by the fluid are investigated using both theory and experiment. In addition, we propose that dynamic modulation of far-field radiation pattern can be achieved by introducing a bottom reflector and by flowing the fluid on it. Especially, by choosing effective one-wavelength distance between the reflector and the cavity, efficient unidirectional emission can be obtained.
A Self-Tuning Harmonic and Interharmonic Processing Technique

Measurement and analysis experiences have highlighted great difficulties in detecting and measuring interharmonics due to their small amplitudes and their consequent vulnerability to spectral leakage of harmonic tones. A new approach that has a general validity and results fully compatible with the latest IEC standard draft is presented. This approach is based on a self-tuning technique aimed at performing the spectral analysis on a time window whose width is as near as possible to an integer number of the actual period of the fundamental component, so minimizing the effects of spectral leakage on interharmonic estimation. The approach proposed is successfully applied to both numerical and experimental tests.
A CPN Based Method for Aspect-Oriented Modeling and Analysis of Fault Tolerance

Software fault tolerance makes system complicated by means of diverse fault-tolerant mechanisms. Aspect-oriented programming has been confirmed as a well suited candidate to ease the problem. However, most of the existing works only focus on implementation level. This paper proposes an AOFTM model for aspect-oriented fault tolerance modeling with Coloured Petri nets at design level. Moreover, the weaving mechanism formally defined conducts the way to derive a woven net from AOFTM. A case study presents how AOFTM works, and its properties are analyzed using the CPN Tools.
Water Quality Parameter Estimation in Steady-State Distribution System

The maintenance of chlorine residual is needed at all the points in the distribution system supplied with chlorine as a disinfectant. The propagation and level of chlorine in a distribution system is affected by both bulk and pipe wall reactions. It is well known that the field determination of wall reaction parameter is difficult. The source strength of chlorine to maintain a specified chlorine residual at a target node is also an important parameter. The inverse model presented in the paper determines these water quality parameters, which are associated with different reaction kinetics, either in single or in groups of pipes. The weighted-least-squares method based on the Gauss–Newton minimization technique is used for the estimation of these parameters. The validation and application of the inverse model is illustrated with an example pipe distribution system under steady state. A generalized procedure to handle noisy and bad (abnormal) data is suggested, which can be used to estimate these parameters more accurately. The developed inverse model is useful for water supply agencies to calibrate their water distribution system and to improve their operational strategies to maintain water quality.
Using radar echo to confront anti-radiation missiles

A new method using radar echo to confront anti-radiation missiles (ARMs) is presented. Phase difference is obtained through radar echo by using the ‘2 loop phase difference measurement’ algorithm. Coherent decoys are generated by phase difference obtained for confronting ARMs. The predicted results are presented to verify the effectiveness of this method.
Evolutionary Framework with Bidirectional Long Short-Term Memory Network for Stock Price Prediction

As an important part of the social economy, stock market plays an important role in economic development, and accurate prediction of stock price is important as it can lower the risk of investment decision-making. However, the task of predicting future stock price is very difficult. This difficulty arises from stocks with nonstationary behavior and without any explicit form. In this paper, we propose a novel bidirectional Long Short-Term Memory Network (BiLSTM) framework called evolutionary BiLSTM (EBiLSTM) for the prediction of stock price. In the framework, three independent BiLSTMs correspond to different objective functions and act as mutation individuals, then their respective losses for evolution are calculated, and finally, the optimal objective function is identified by the minimum of loss. Since BiLSTM is effective in the prediction of time series and the evolutionary framework can get an optimal solution for multiple objectives, their combination well adapts to the nonstationary behavior of stock prices. Experiments on several stock market indexes demonstrate that EBiLSTM can achieve better prediction performance than others without the evolutionary operator.