Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of ontology-based business process model for project collaboration in AEC organizations

The prevalent process models, written in a highly structured schema, prescribe the collection of activities in some specific orders. As different process models are created and used for different modeling purposes, it is hard for another party to reuse them without understanding the modeling perception behind. For collaboration among different stakeholders, these mechanism-based process models lack the flexibility to model the specific views in different domains. Ontology, as a concept modeling tool, provides such an opportunity to enable a shift from procedure-based software structuring to model-based structuring. This paper describes an ongoing research to develop ontology-based business process models for collaboration in the AEC organizations. The business processes are different from the functional ones as they must create value to the customer. This is essential for modeling organizations as the functional process might be changed or eliminated with the use of new technologies. In this paper, an ontology is adapted from the REA enterprise ontology to model the business process. The adapted ontology reflects the particularity of the business processes in the AEC industry that they interweave with each other throughout the whole production line, rather than a one-point-connection at the sales department. A framework of the ontology-based business process is presented, with an example to illustrate how the ontology-based business process model can help project collaboration in the AEC industry.
Care Ethics Management and Redesign Organization in the New Normal

The pandemic period has placed the organizations in a state of great tension. It has generated a situation of confusion, lack of rules, and production-related criticalities that have called into question the very existence of many productive realities. This article aims to highlight the dimensions of care and ethics put in place by HR managers in COVID-19. The objective that animated the authors have focused on the HRM level of medium and large companies in Italy to highlight the protective actions toward people and the organization in the period COVID 19, highlighting what were the ethical values and actions of care put in place. In this article, we wanted to give voice to managers (N = 45, including 21 women and 24 men, aged between 40 and 55 years old) who had management tasks in their organizations by asking them to tell us how they dealt with the challenges imposed by the emergency. In the research, we start from a way of understanding workplaces understood as a “process of ongoing social relationship” within which the HR function is dedicated to the care of the quality of relationships. HR managers have to manage a complex role of mediating between the interests of people and employers by trying to find good mediations.
Biochemical and Structural Characterization of a Novel Bacterial Tannase From Lachnospiraceae bacterium in Ruminant Gastrointestinal Tract

Tannases are a family of esterases that catalyze the hydrolysis of ester and depside bonds present in hydrolyzable tannins to release gallic acid. Here, a novel tannase from Lachnospiraceae bacterium (TanALb) was characterized. The recombinant TanALb exhibited maximal activity at pH 7.0 and 50°C, and it maintained more than 70% relative activity from 30°C to 55°C. The activity of TanALb was enhanced by Mg2+ and Ca2+, and was dramatically reduced by Cu2+ and Mn2+. TanALb is capable of degrading esters of phenolic acids with long-chain alcohols, such as lauryl gallate as well as tannic acid. The Km value and catalytic efficiency (k cat /Km) of TanALb toward five substrates showed that tannic acid (TA) was the favorite substrate. Homology modeling and structural analysis indicated that TanALb contains an insertion loop (residues 341–450). Based on the moleculer docking and molecular dynamics (MD) simulation, this loop was observed as a flap-like lid to interact with bulk substrates such as tannic acid. TanALb is a novel bacterial tannase, and the characteristics of this enzyme make it potentially interesting for industrial use.
Residual Learning Based CNN for Gesture Recognition in Robot Interaction

The complexity of deep learning models affects the real-time performance of gesture recognition, thereby limiting the application of gesture recognition algorithms in actual scenarios. Hence, a residual learning neural network based on a deep convolutional neural network is proposed. First, small convolution kernels are used to extract the local details of gesture images. Subsequently, a shallow residual structure is built to share weights, thereby avoiding gradient disappearance or gradient explosion as the network layer deepens; consequently, the difficulty of model optimisation is simplified. Additional convolutional neural networks are used to accelerate the refinement of deep abstract features based on the spatial importance of the gesture feature distribution. Finally, a fully connected cascade softmax classifier is used to complete the gesture recognition. Compared with the dense connection multiplexing feature information network, the proposed algorithm is optimised in feature multiplexing to avoid performance fluctuations caused by feature redundancy. Experimental results from the ISOGD gesture dataset and Gesture dataset prove that the proposed algorithm affords a fast convergence speed and high accuracy.
Understanding Digital Marketplace Business Models: An Ontology Approach

Digital marketplaces, including sharing economy platforms, are digital platforms that may operate under a large variety of business models. Business model variations are typically conceptualized in taxonomies, but these fall short in describing platform user roles and role-specific digital platform functionality. Reference ontologies offer more potential for capturing this information and thus provide a conceptual basis for model-driven development of platform software. This paper presents an extension of the Digital Platform Ontology (DPO) of Derave, Sales, Gailly and Poels (2020) that is agnostic to business model choices. We extend the DPO with digital platform business model ontology modules, based on an analysis of digital marketplace business models, that was informed by a literature review and a sample of existing digital marketplaces. The new ontology modules can be used as building blocks to model a digital marketplace operating under a chosen business model.
Enabling end-user network monitoring via the multicast consolidated proxy monitor

The debugging of problems in IP multicast networks relies heavily on an eclectic set of stand-alone tools. These tools traditionally neither provide a consistent interface nor do they generate readily interpretable results. We propose the ``Multicast Consolidated Proxy Monitor''(MCPM), an integrated system for collecting, analyzing and presenting multicast monitoring results to both the end user and the network operator at the user's Internet Service Provider (ISP). The MCPM accesses network state information not normally visible to end users and acts as a proxy for disseminating this information. Functionally, through this architecture, we aim to a) provide a view of the multicast network at varying levels of granularity, b) provide end users with a limited ability to query the multicast infrastructure in real time, and c) protect the infrastructure from overwhelming amount of monitoring load through load control. Operationally, our scheme allows scaling to the ISPs dimensions, adaptability to new protocols (introduced as multicast evolves), threshold detection for crucial parameters and an access controlled, customizable interface design. Although the multicast scenario is used to illustrate the benefits of consolidated monitoring, the ultimate aim is to scale the scheme to unicast IP networks.
The interpolated fast Fourier transform: a comparative study

The properties of five interpolating fast Fourier transform methods (IFFT) are studied with respect to their systematic errors and their noise sensitivity, for a monofrequency signal. It is shown that windows with small spectral sidelobes do not always result in a better overall performance of the IFFT and that time-domain estimators can be more efficient than the IFFT methods analyzed. It is also, shown that time-domain techniques have a lower Cramer-Rao lower bound than the IFFT methods, which can result in more efficient estimates. <<ETX>>
Eportfolios in a higher education context: Preliminary findings on assessment and technology issues

Eportfolio use in higher education has been expanding over the past several decades. However, current literature on eportfolios in higher education (higher education) disproportionately focuses on interest, enthusiasm and potential, rather than critical examinations of key variables and their relationship to success. This suggests that the use of eportfolios has outpaced the critical examination of their use. A key area in which eportfolios play a role in higher education curricula is as assessment. Given the importance of assessment within curricula and the deficit of research into eportfolios, there is an urgent need for research into eportfolios as assessment in higher education. This ongoing study is intended to meet this need through systematic research, intended to inform global higher education communities and enhance understandings of eportfolio use. The theoretical framework underpinning the study brings together conceptual and utility components of both assessment and technology. Within the full study, both qualitative and quantitative methodologies are used to examine courses from multiple higher education disciplines at a university in Hong Kong. The current paper presents preliminary findings from two faculty of education courses, consisting of 50 students and three instructors. Findings include disparities between instructors’ and students’ conceptions of assessment and technology as well as strong rejection of single-purpose eportfolio technology such as Mahara in favor of more multi-purpose systems, such as Wordpress. Findings are discussed in terms of exploring connections between technology and assessment, enhancing research into eportfolio use, and conducting further research within the presented framework.
Thermal Buckling Optimization of Temperature-Dependent Laminated Composite Skew Plates

AbstractAs a first endeavor, the differential quadrature method in conjunction with the genetic algorithms (GAs) is applied to obtain the optimum (maximum) buckling temperature of laminated composite skew plates. The material properties are assumed to be temperature dependent and the governing equations are based on the first-order shear deformation plate theory. After discretizing the governing equations and the related boundary conditions, a direct iterative method in conjunction with GAs is used to determine the optimum fiber orientation for the maximum buckling temperature. The applicability, rapid rate of convergence, and high accuracy of the method are established by solving various examples and by comparing the results with those in the existing literature. Then, the effects of the temperature dependence of the material properties, boundary conditions, length-to-thickness ratio, number of layers, and skew angle on the maximum buckling temperature of the laminated skew plates are presented.
An Efficient Control Strategy Based Multi Converter UPQC using with Fuzzy Logic Controller for Power Quality Problems

A custom power device provides an integrated solution to the present problems that are faced by the utilities and power distribution. In this paper, a new controller is designed which is connected to a multiconverter unified power quality conditioner (MC-UPQC) for improving the power quality issues adopted modified synchronous reference frame (MSRF) theory with Fuzzy logic control (FLC) technique. This newly designed controller is connected to a source in order to compensate voltage and current in two feeders. The expanded concept of UPQC is multi converter-UPQC; this system has a two-series voltage source inverter and one shunt voltage source inverter connected back to back. This configuration will helps mitigate any type of voltage / current fluctuations and power factor correction in power distribution network to improve power quality issues. In the proposed system the power can be conveyed from one feeder to another in order to mitigate the voltage sag, swell, interruption and transient response of the system. The control strategies of multi converter- UPQC are designed based on the modified synchronous reference frame theory with fuzzy logic controller. The fast dynamics response of dc link capacitor is achieved with the help of Fuzzy logic controller. Different types of fault conditions are taken and simulated for the analysis and the results are compared with the conventional method. The relevant simulation and compensation performance analysis of the proposed multi converter-UPQC with fuzzy logic controller is performed.
Dealing with Non-ignorable Non-response using Generalised Calibration: A Simulation Study based on the Luxemburgish Household Budget Survey

In spite of the efforts survey managers and operations staff put into preventive actions, unit non-response in sample surveys – that is, the failure to collect any information at all from part of the sample units – is almost inevitable. Unit non-response is generally due to non-contact, refusal or inability to respond to the survey. Reweighting methods are frequently used to compensate for non-response bias, which is the bias caused by nonrespondents being systematically different from respondents with respect to key characteristics of interest. Traditional methods (Little, 1986; Bethlehem, 1988; Sarndal et al., 1992; Cobben, 2009; Bethlehem et al., 2011) involve adjusting the sampling weights for respondents by using the inverse of the estimated response propensities as adjustment factors. Response propensities are predicted on the basis of auxiliary covariates available both for respondents and non-respondents using statistical techniques such as logistic modelling or response homogeneous groups (Lohr, 2010).
The International Review of Financial Consumers

Instruments such as product ratings can help to overcome information asymmetries in retail financial markets. However, the capacity of ratings to promote market transparency and consumer awareness depends critically on whether they are credible. This article provides an empirical investigation of insurance product ratings in Germany, with an emphasis on the potential sources of bias that could undermine rating credibility. The analysis employs a panel dataset containing ratings for disability insurance products from two rating agencies over a 15-year period. Using the existing literature as a guide, we test a series of hypotheses regarding factors that may explain the variation in rating outcomes over time and across rating agencies. Our results suggest no major concerns regarding the credibility of insurance product ratings.
A Review of Face Recognition Using SIFT Feature Extraction

-Face detection may be defined as the process of determining whether face is present or not in a given image, if present, then the location of the face is notified. Face can be detected in colour or single intensity, single image or video sequence (single image/frame taken at a time). Another term closely related to face detection is face localization. It may be defined as determining position of single face in a given image. The difference is that in face localization it is assumed that only one face is present in the input image. But in the face detection presence of face either one or many is not known prior. Facial feature detection is to detect the presence and location of facial features like eyes, eyebrow, nose, nostrils, mouth, lips and ears. Automatic Face Recognition aims to use pattern recognition technology to identify people in photos or videos. Automatic face recognition has been widely used in applications from social media to advanced authentication systems. Face recognition technology is very mature. In an unlimited real environment, automatic recognition of faces from digital cameras is still very challenging because it involves important changes in acquisition conditions, facial expressions and attitude changes. Therefore, the key challenges in this area as well as developed solutions and applications based on imaging and machine learning technologies are introducing the topic of automatic computer face recognition.
Modeling Agility in Kenyan Supermarkets Chain Expansion

Using the Interpretative structural modeling, this research sought to determine the key retailing model enabling implementation of agile retailing practices in supermarkets branch expansion . Using store layout, pricing, storelocation, customer service, merchandise assortments, retail mix utilization, communication mix, Training and development, and research and development as variables for the study we developed a model to use when designing retailing activities in supermarkets. The developed model is derived from retailing strong points of Nakumatt limited, a supermarket retail chain that has expanded from a family business to a market leader in Eastern Africa.
Evidence-based policy and higher education quality assurance

Over the last three decades, higher education policies have undergone significant changes not only in Europe but also globally. These changes are closely linked to the economic, social environment factors and influenced by neoliberal reform agenda, that includes deregulation, privatization, competition, globalization, managerialisation policies. The article seeks to clarify theoretical as well as practical aspects of evidence-based policy (EBP) and overview recent EBP studies related with higher education quality assurance. Literature analysis method was used by analysing evidence-based concept; different forms of evidence employment in policy-making; document analysis was used by analysing the European higher education area vision by 2030. Main findings: there is no uniform interpretation of the evidence-based policy concept; three sources of knowledge, relevant for evidence-based policy making, are well accepted: scientific; professional and political; instrumentality and legitimacy are main drivers that promote the choice of policy instruments. The current research concludes that the main national level quality assurance policy instruments (accreditations, audits) and European higher education policy instruments (European qualification framework (EQF), European Standards and Guidelines for Quality Assurance in Europe (ESG)) are used in mix, highly varies country to country and have tendency of rapid change; policy instruments’ focus on both quality assurance process and outcome; abundance of policy instruments accelerating policy accumulation effect and increase the risk of not being implemented as planned, having negative impact on each other. The article sheds light on Evidence-based policy and higher education quality assurance Akademia Zarządzania – 5(3)/2021 133 policy instrument attribution scientific problem, identified in policy impact studies and suggests that there is a need for further studies related to policy instrument coherence better understanding as well as studies that broaden view and clarifies policy instrument dependence on the complex of factors.
Ultrasound transducer self heating: development of 3-D finite-element models

The surface temperature of diagnostic ultrasound transducers remains an important limitation to their safe use. 3-dimensional finite-element thermal models have been created to predict surface temperature rise for selected transducers operating in air. The models have been created using the ANSYS finite-element package and are based upon parameters made available by manufacturers. The models allow the prediction of the changing surface temperature with time over the front face of the transducers. These predictions have been compared with experimental profiles obtained using infra-red thermography or a miniature thermocouple. The creation of a valid finite-element thermal model requires structural detail and corresponding material properties, which have been obtained with a high level of confidence. Values for the overall power dissipation in the model, its distribution, and the heat loss from the surface are also required and are subject to greater uncertainty. An estimate of the power delivered to the transducer has been obtained from the measured total acoustic power output into water combined with an estimate of the transducer's efficiency. By adjusting model estimates good agreement has been obtained between the predicted temporal variations of surface temperature and those observed.
Recent applications of linear analysis techniques

This paper is based on material presented at the Panel Session: Recent Applications of Linear Analysis Techniques conducted during the 1998 IEEE PES Summer Meeting. The topics discussed include: control system design; system identification; large scale system applications; simultaneous coordination of power system stabilisers and FACTS controllers; robust power system stabilisation; small signal stability analysis based on time-domain identified models; EM transient studies modal analysis; and power system dynamics nonlinearities, normal forms method.
Design and simulation of tunable micromirror for two-color microbolometer

A tunable reflecting micromirror made up of two layers of Al and Si3N4 is designed to suspend between the silicon substrate and the heat sensitive membrane for measuring the actual temperature and color of an object based on comparison of two wavelength response windows, 3-5 μm and 8-12 μm. The micromirror, switching between two positions by an applied electrostatic voltage, provides a response to two wavelength windows by tuning the optical tunable resonant cavity. With different distances between the micromirror and the bottom electrode, the total capacitance of the tunable micromirror is gained based on electromagnetic analysis and theoretical equation. The pull-in voltage is calculated as 8.21 V by electrostatic-mechanical coupling analysis. But if the voltage is increased to about 9.73 V, the micromirror will touch the bottom electrode by pull-in behavior. At last, the vibration modes of the tunable micromirror are simulated using ANSYS, and the fabrication process flow of the two-color microbolometer is theoretically demonstrated.
DSP-based resolver-to-digital conversion system designed in time domain

Resolver is an absolute angle measurement and is mounted on the motor shaft to acquire the motor's absolute angular position. This study presents an equivalent circuit of the resolver neglected rotational back electromotive force. The transfer function of the resolver is derived from the equivalent circuit. The frequency response of the resolver is measured by a dynamic signal analyser to obtain the adequate frequency of resolver's reference signal. Furthermore, a digital signal processor (DSP)-based resolver-to-digital conversion system is designed in time domain. A pulse signal generated by the DSP is utilised as a reference signal coupled into the resolver's rotor winding and provides primary excitation. The sine and cosine modulated output signals are sampled by the analogue-to-digital converter of the DSP within 1 μs. The sampled frequency of outputs signals are the same frequency as the pulse signal. The angular position is derived by the inverse tangent of the quotient of the demodulated sine and cosine samples. Test results are presented to validate the performances of the proposed scheme.