Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy management in multi‐microgrids via an aggregator to override point of common coupling congestion

Generally, the owners of microgrids are not identical; therefore, each microgrid tries to optimise its own profit and maximise its utilisation of the point of common coupling (PCC) capacity to boost its profitability, while being ignorant of its neighbouring microgrids. In the absence of information concerning neighbouring microgrids, data limitations in the PCC may be troublesome, especially in load peak hours. Hence, existence of an agent is vital to manage energy exchanges between microgrids and grid. This study introduces a bi-level hierarchical structure to manage energy in a system composed of multimicrogrids while considering PCC congestion. In the first level, each microgrid implements its day-ahead scheduling and declares its probable energy mismatch to an agent, entitled microgrid aggregator (MGA). In the second level, the MGA aims to maximise profit of microgrids considering PCC constraint through a two-stage optimisation problem. In the first stage, Karush-Kuhn-Tucker conditions are used to present a novel virtual pricing algorithm exerted by aggregator for rescheduling of microgrids. After regulating generation of microgrids through a reciprocal process, the resultant profit is fairly divided among microgrids via Shapley value in the second stage. The simulation results reveal the efficiency and reliability of the proposed method.
Design and Modelling of Wireless Power Transfer and Energy Harvesting Systems

The escalation of the Internet-of-Everything topicality has motivated an increased interest in both academia and industry research for efficient solutions enabling self-sustained smart operations. From the maintenance point of view, indeed, battery-less strategies represent the most valuable way for distributed zero-power standalone electronics. With this purpose, different scavenging techniques are being adopted, gathering energy from different sources such as mechanical, solar, thermal and electromagnetic waves. Due to the wide spread of wireless communication systems, the latter technology has recently benefited a renewed interest. This Ph.D. research activity has been focused on the investigation of new efficient solutions for radiofrequency energy harvesting and wireless power transmission techniques, aiming at improving the state of the art, by also taking into account the imperative necessity of eco-friendly materials for the development of green electronics. The combination of radiofrequency energy harvesting and ultra-wideband techniques is also proposed as possible candidate for future RFID systems. These functionalities are integrated in a novel, compact and low-profile tag, whose details are provided thoroughly from both electromagnetic and nonlinear circuit viewpoints. Results validation is provided through experimental characterization. Compatibility with the environment is assured by implementation with recyclable material. This concept is then extended with the investigation of more elaborated energy scavenging architectures, including rectenna arrays. Finally, a near-field wireless power transmission system is presented on low-cost materials, therefore suitable for possible mass-market deployment.
Geoacoustic Inversion for Bottom Parameters via Bayesian Theory in Deep Ocean

We develop a new approach to estimating bottom parameters based on the Bayesian theory in deep ocean. The solution in a Bayesian inversion is characterized by its posterior probability density (PPD), which combines prior information about the model with information from an observed data set. Bottom parameters are sensitive to the transmission loss (TL) data in shadow zones of deep ocean. In this study, TLs of different frequencies from the South China Sea in the summer of 2014 are used as the observed data sets. The interpretation of the multidimensional PPD requires the calculation of its moments, such as the mean, covariance, and marginal distributions, which provide parameter estimates and uncertainties. Considering that the sensitivities of shallow-zone TLs vary for different frequencies of the bottom parameters in the deep ocean, this research obtains bottom parameters at varying frequencies. Then, the inversion results are compared with the sampling data and the correlations between bottom parameters are determined. Furthermore, we show the inversion results for multi-frequency combined inversion. The inversion results are verified by the experimental TLs and the numerical results, which are calculated using the inverted bottom parameters for different source depths and receiver depths at the corresponding frequency.
Trajectory tracking and prediction of pedestrian's crossing intention using roadside LiDAR

Trajectory tracking and crossing intention prediction of pedestrians at intersections are important to intersection safety. Recently, on-board video sensors have been developed for detection of pedestrians. However, both the detection range and operating environment of video-based systems seem to be constrained by the advancement of image-processing technologies. Additionally, on-board systems cannot alarm pedestrians to take evasive actions when at risk, a feature which is critical to saving lives. This paper summarises the authors' practice on using roadside LiDAR sensors to monitor and predict pedestrians' crossing intention, as part of an ongoing effort to develop a pioneering LiDAR-based system to systematically reduce pedestrian and vehicle collisions at intersections. The LiDAR sensors were installed at intersections to collect pedestrian data such as presence, location, velocity, and direction. A new method based on deep autoencoder - artificial neural network (DA-ANN) was used to process data and predict pedestrian crossing intention. The case study shows the proposed model is about 95% prediction accuracy and computational efficiency for real-time systems. The roadside LiDAR system has great potential to significantly reduce vehicle-to-pedestrian crashes both at intersections and non-intersection areas, either used as a stand-alone system or in conjunction with the connected V2I and I2V technologies.
Time reversal through a solid–liquid interface and super-resolution

We present numerical computations that reproduce the time-reversal experiments of Draeger et al (Draeger C, Cassereau D and Fink M 1998 Appl. Phys. Lett. 72 1567–9), where ultrasound elastic waves are time-reversed back to their source with a time-reversal mirror in a fluid adjacent to the solid. We also show numerically that multipathing caused by random inhomogeneities improves the focusing of the back-propagated elastic waves beyond the diffraction limit seen previously in acoustic wave propagation (Dowling D R and Jackson D R 1990 J. Acoust. Soc. Am. 89 171–81, Dowling D R and Jackson D R 1992 J. Acoust. Soc. Am. 91 3257–77, Fink M 1999 Sci. Am. 91–7, Kuperman W A, Hodgkiss W S, Song H C, Akal T, Ferla C and Jackson D R 1997 J. Acoust. Soc. Am. 103 25–40, Derode A, Roux P and Fink M 1995 Phys. Rev. Lett. 75 4206–9), which is called super-resolution. A theoretical explanation of the robustness of super-resolution is given, along with several numerical computations that support this explanation (Blomgren P, Papanicolaou G and Zhao H 2002 J. Acoust. Soc. Am. 111 238–48). Time reversal with super-resolution can be used in non-destructive testing and, in a different way, in imaging with active arrays (Borcea L, Papanicolaou G, Tsogka C and Berryman J 2002 Inverse Problems 18 1247–79).
Fatigue model of a disc valve system used in shock absorbers

The aim of the paper is to formulate and validate a fatigue damage model applicable to disc spring valve systems used in automotive and railway hydraulic shock absorbers. The valve consists of a stack of thin disc springs of varying diameters which are designed to provide a controlled annular flow through a valve system. A disc spring stack is subjected to fatigue damage therefore it has to be accurately designed and validated to provide the required fatigue damage performance and minimise failure risk of shock absorber. The fatigue model developed in this work facilitates a virtual valve system pre-selection process to reduce the required testing capacity, i.e., the number of long-term and expensive fatigue tests performed on servo-hydraulic testing machines. The model accuracy was evaluated using the experimental high-cycle fatigue tests which were conducted on the high-frequency servo-hydraulic load frame machine.
Plasma electron temperatures and electron energy distributions measured by trace rare gases optical emission spectroscopy

This article reviews a spectroscopic method for extracting plasma electron temperatures and electron energy distributions: trace rare gases optical emission spectroscopy. Specifically, traces of Ne, Ar, Kr, and Xe are added to the plasma and the intensities of emissions from the Paschen 2p levels are recorded. Intensities are also computed from a model that includes direct excitation from the ground state, as well as two-step excitation through the 3P2, and 3P0 metastable levels. A Maxwellian electron energy distribution function (EEDF), described by an electron temperature (Te), is assumed, and Te is extracted from the best match between the observed and calculated relative emission intensities. By choosing emission from specific sets of levels, the range of electron energies effective in exciting emission can be selected and various portions of the EEDF can be investigated. Accurate measurement of Te depends critically on accurate cross sections for electron impact excitation, and hence a large portion of this article is devoted to a critical review of this subject. Improving on previous treatments, the model for computing emission intensities and electron temperatures includes a complete analysis of the complex excitation and de-excitation of the metastable levels. Previous measurements of Te and EEDFs in chlorine and oxygen inductively coupled plasmas are re-evaluated with the current model. In general, the current version of the model yields similar results; specific differences are discussed.
Prospects for improving the accuracy of silicon photodiode self-calibration with custom cryogenic photodiodes

This paper considers the possibility of improving the accuracy of the predictable quantum efficiency method (self-calibration) by using custom photodiodes at cryogenic temperatures. The photodiode quantum deficiency is partitioned into nine terms associated with different phenomenological loss mechanisms. The size of each term is estimated for operation of the photodiode at 72 K and 16 V reverse bias. Requirements for high-accuracy self-calibration of the value and uncertainty of each of the quantum deficiency terms are discussed.
Restoring a fluctuation-dissipation theorem in a nonequilibrium steady state

In a nonequilibrium steady state, the violation of the fluctuation-dissipation theorem (FDT) is connected to breaking detailed balance. For the velocity correlations of a driven colloidal particle we calculate an explicit expression of the FDT violation. The equilibrium form of the FDT can be restored by measuring the velocity with respect to the local mean velocity.
Searching for WISPy cold dark matter with a dish antenna

The cold dark matter of the Universe may be comprised of very light and very weakly interacting particles, so-called WISPs. Two prominent examples are hidden photons and axion-like particles. In this note we propose a new technique to sensitively search for this type of dark matter with dish antennas. The technique is broadband and allows to explore a whole range of masses in a single measurement.
Need analysis of project-based learning model and portfolio assessment in physics learning

Physics learning aims to equip students with knowledge and ability to develop natural sciences. Very minimal learning resources become a problem in the learning process. Monotonous learning and the less effective learning model are factors of student saturation. The project based learning (PJBL) is one of the models used in making projects. The use of the PJBL in learning can increase student activity and creativity. In assessing project processes and outcomes in learning, an authentic and thorough assessment is required. This study aims to analyze the need for the PJBL model and portfolio assessment. The research method used is descriptive. The sample of this research is SMA/MAN teachers in 5 schools in Padang Pariaman. PJBL is very rarely used in learning because this learning model has its own difficulties in its implementation. The PJBL had a major impact in 3 schools, namely SMAN 12 x 11 Lingkung, MAN 1 Padang Pariaman, and SMAN 1 Lubuk Alung, with average scores above 60. Portfolio assessment has a great impact because it can facilitate students and teachers in the learning process. Results of this study are the teacher expects the ease of using the PJBL with the portfolio assessment of physics learning.
Transformational III-V Electronics

4 ACKNOWLEDGMENT . 5 TABLE OF CONTENTS . 6 LIST OF ABBREVIATIONS . 7 LIST OF ILLUSTRATIONS . 8 LIST OF TABLES . 10 1 CHAPTER 1: Introduction . 11 1.1 Flexible electronics . 12 2 CHAPTER 2: Experimental Setup For Transformational III-V Electronics . 15 2.1 Flexible GaAs Electronics . 15 2.1.1 Design GaAs flexible Substrate . 15 2.1. 2 Flexible process for GaAs Substrate . 18 2.1. 3 Design MOSCAP on Flexible GaAs . 27 2.1. 4 Fabrication for flexible GaAs MOSCAP . 32 2.2 Flexible InP and GaSb . 39 2.2.1 Design Flexible Inp Substrate and Gasb Substrate . 39 2.2.2 InP Flexible Substrate Fabrication Process . 44 2.2. 3 GaSb Flexible Substrate Fabrication Process . 50 3 CHAPTER 3: Discussion and Results . 54 3.1 GaAs Flexible Substrate . 54 3.2 MOSCAP on Flexible GaAs . 56 3.3 InP and GaSb Substrates . 59 3.4 Future Work . 59 4 CHAPTER 4: Conclusion . 60
Factors Influencing the Adoption of Information and Communication Technology (ICT) among Oil Palm Settlers in Felda Wilayah Alor Setar, Kedah: A Survey

In today’s age of modernization, Information and Communication Technology (ICT) has been a part and play a great role in the development of agriculture sector. The ICT revolution has brought significant implication in agricultural development where farmers can directly communicate with traders, government and buyers. However, due to lack of knowledge and information, oil palm settlers are not getting the benefits from these technologies. To further understand this, a study was conducted to find out the adoption, usage level and factor influence the adoption of ICTs among oil palm settlers. This article proposed a conceptual framework that was constructed from two main constructs such as technology and demographic factors. The proposed framework underpinned diffusion of innovation framework that was introduced by Rogers’ (2003) which five major attributes: relative advantages, compatibility, simplicity, trialability, and observability. 211 respondents were answering the questionnaire in this study and the measurement of internal consistency shows the Cronbach’s alpha result α = 0.933, which considered as accepted reliability value. All constructs show a positive significant coefficient of multiple correlations result, r = 0.87, which means all constructs have strong positive multiple correlations with the ICT adoption except complexity. Results revealed that majority of the respondents were males (84.4%), a high percentage (65.4%) of adoption level and usage level (76.8%). As a conclusion, the proposed conceptual framework may consider as a basic foundation for general ICT adoption overview in the perspective of Malaysia agriculture industry.
Discipline and Change: How Technologies and Organizational Routines Interact in New Practice Creation

In this paper we study the development and implementation of a technology over a long period of time, with a particular focus on how its disciplinary effects interplay with and change organizational routines and actors’ capacities, thus producing new patterns of action. To identify these processes of change and emergence of practices, we propose a combinative theoretical analysis at the interface between institutional and practice-based approaches. Drawing on a rich ethnographic case study, we show how the fact of considering technologies as the combination of three dimensions (technical substrate, managerial philosophy and organizational model) furthers our understanding of institutional change and the creation of new practices. In particular, we examine the internal dynamics between the three dimensions of these technologies and the duality of organizational routines (their ostensive and performative aspects). This enables us to reintroduce practices and agency analysis into an institutional approach to technological change, and to put social history, designers’ assumptions and disciplinary effects of technologies back into the analysis of the micro-dynamics of routine changes. We identify several factors which partially explain divergent technological trajectories concerning institutionalization and emerging structures in two different settings.
Implementation of the frequency dependent line model in a real-time power system simulator

In this paper is described the implementation of the frequency-dependent line model (FD-Line) in a real-time digital power system simulator. The main goal with such development is to describe a general procedure to incorporate new realistic models of power system components in modern real-time simulators based on the Electromagnetic Transients Program (EMTP). In this procedure are described, firstly, the steps to obtain the time domain solution of the differential equations that models the electromagnetic behavior in multi-phase transmission lines with frequency dependent parameters. After, the algorithmic solution of the FD-Line model is implemented in Simulink environment, through an S-function programmed in C language, for running off-line simulations of electromagnetic transients. This implementation allows the free assembling of the FD Line model with any element of the Power System Blockset library and also, it can be used to build any network topology. The main advantage of having a power network built in Simulink is that can be executed in real-time by means of the commercial eMEGAsim simulator. Finally, several simulation cases are presented to validate the accuracy and the real-time performance of the FD-Line model.
Tuneable RF Filter based on acoustically coupled Ferroelectric Resonators

Tuneable filters are a great solution for wireless telecommunications. Micro-actuators resonators are being employed in different configuration in order to provide a much better selectivity. Ferroelectric materials are the main key materials which are being employed as the medium of the resonators and a bias voltage is superimposed with the input signal. The bias voltage varies the main properties of the ferroelectric materials and therefore the impedance profile of the resonator gets shifted into higher frequencies. The drawback associated with homogeneous structure is that resonance frequency has a lower tuneability rate compare to the antiresonance frequency. This is a critical feature since in real tuneable filter the bias voltage increases of the bandwidth rather than shifting the bandpass filter into higher frequencies. Another approach has been proposed in order to overcome this restriction. The new structure contains two distinct ferroelectric layers sandwiched by the electrode. The simulated data exhibits a enhanced tuneability for the resonance frequency. This is a competitive approach for implementation of tuneable filter. Thesis Supervisor: Ulrik Hanke Title: Professor
Radionuclide therapy with bone-seeking compounds: Monte Carlo calculations of dose-volume histograms for bone marrow in trabecular bone

The purpose of the present work was to investigate how haematopoietic stem cell survival is affected by the differences in the dose distribution that arise from different radionuclides contained in bone-seeking radiopharmaceuticals. This was carried out in three steps: (a) calculations of representative dose distributions in individual bone marrow cavities that are irradiated by sources of 89Sr, 186Re, 117mSn or 153Sm, uniformly distributed on the bone surfaces; (b) assessment of the corresponding haematopoietic stem cell survival and (c) a comparison of these results with results obtained using the assumption of a uniform dose distribution. Two different idealized models of the geometry of trabecular bone were formulated, each consisting of an infinite array of identical elements. Monte Carlo simulations were used to generate dose-volume histograms that were used to assess haematopoietic stem cell survival with two different assumptions about spatial cell distributions. Compared with a homogeneous dose distribution, the estimated cell survival was markedly higher for 117mSn and 153Sm, and only slightly different for 89Sr and 186Re. The quantitative results differed between the two geometric models and the assumptions about spatial cell distribution, but the trends were the same. The results imply that it is necessary to include dose distributions for individual bone marrow cavities in considerations concerning bone marrow toxicity.
Input significance analysis: Feature selection through synaptic weights manipulation for EFuNNs classifier

This work is interested in ISA methods that can manipulate synaptic weights namely Connection Weights (CW) and Garson’s Algorithm (GA) and the classifier selected is Evolving Fuzzy Neural Networks (EFuNNs). Firstly, it test FS method on a dataset selected from the UCI Machine Learning Repository and executed in an online environment, record the results and compared with the results that used original and ranked data from the previous work. This is to identify whether FS can contribute to improved results and which of the ISA methods mentioned above that work well with FS, i.e. give the best results. Secondly, to attest the FS results by using a differently selected dataset taken from the same source and in the same environment. The results are promising when FS is applied, some efficiency and accuracy are noticeable compared to the original and ranked data.
Perceptions of Cockpit Configurations: A Culture and Gender Analysis

ABSTRACT Objective: With the advancement of technology in recent years the topic of autonomous, pilotless cockpits have emerged. The rhetoric of this article revolves around passenger perceptions and their willingness to fly on board such aircraft. Background: Although studies have been conducted to gauge similar consumer perceptions, this study compared 3 different 2-pilot configurations based on pilot gender to that of the autonomous or automated cockpit. These configurations included 2 male pilots, 1 male and 1 female pilot, and 2 female pilots. Method: 433 participants from India and the United States were recruited using Amazon’s Mechanical Turk and responded to questions designed to measure consumer perceptions on the topic at hand. The study used Rice, Mehta, et al.’s (2015) willingness-to-fly scale to collect the data. Results: The results suggested that all participants were more willing to fly on board all 3 types of 2-pilot configurations as opposed to the autonomous cockpit. However, Indian male participants showed a decrease in willingness to fly on board the 2-female-pilot configurations as opposed to the other 2-human-pilot configurations. Additionally, U.S. participants were much less willing to fly on board the autonomous configuration as compared to their Indian counterparts. Conclusion: The findings suggest that all participants were least willing to fly on aircraft flown completely by an autopilot. Differences were also noted based on pilot gender.