Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and performance of an AC/DC voltage source converter

In this paper, the single-phase boost power factor correction converter is discussed in detail. With the Fourier analysis of the general model, the low frequency model and high frequency model are proposed. From the low frequency model, the expression of the duty cycle, the boundary between continuous current mode (CCM) and discontinuous current mode (DCM), the study of the cusp distortion and the ripple output voltage are developed. While the high frequency components of the input current are described based on the high frequency model. Theoretical results are demonstrated by the simulations and the experiments.
Integration and evaluation of a gaming situation for long-term human-robot interaction: playing a game of pairs with Flobi using contextual knowledge

This doctoral thesis proposes a system for long-term Interaction between a robot and a human using a gaming context. A robot plays a game of pairs autonomously with a human. The system was developed to evaluate how to implement social assistive robots during space missions that occur under isolation conditions. The first part of the thesis presents the system as designed and implemented. Described are the different components used to realize autonomous interaction. The study itself was conducted in cooperation with the German Aerospace Center. Throughout the study, the proposed system performed robustly, and without major system failures. The participants interacted with the system continuously, and gave it average ratings for acceptability. No significant extraneous effects, such as those related to novelty were found. Nevertheless, problems with perception and classification led to negative ratings for the system’s competence. The second part of the thesis was motivated by findings from the isolation study. Integrated is a context knowledge system to increase interest in the interactions during long-term use. This made it possible to collect data on past interactions for use with further interactions. The results of a study showed that greater commitment to gaming interaction could be promoted by using context knowledge. In addition, implemented is a remotely controlled version of the system to evaluate, whether a robot without visual or speech recognition problems who played perfectly could influence the way the system was perceived. Results showed that ratings on participant enjoyment while playing with the system decreased when the playing system was too perfect. Additionally, a robot that played too perfectly appeared to promote unfair game-play behaviors in the human, likely as an attempt to cope with disadvantages such as lower memory capacity.
Design for the Changing Educational Landscape: Space, Place and the Future of Learning

Acknowledgments Illustration Credits Introduction Part 1: Learning Space 1. The Learning Universe 1.1 Schools 1.2 Further and Higher Education 1.3 Business and Cultural Spaces 2. Driving Change 2.1 Technology 2.2 Learning theory 2.3 Policy 2.4 Events 3. Design Imperatives for a Changing Landscape 3.1 Linking Pedagogy and Space 3.2 Transforming the Higher and Further Education Campus 3.3 Beyond the Institution Part 2: Innovating Space 4. Schools 4.1 Introduction 4.2 Core Teaching Spaces 4.3 Informal Learning Spaces 4.4 Staff Workspace 4.5 Outdoor Learning Space 4.6 School Libraries 5. The Further and Higher Education Campus 5.1 Introduction 5.2 General Teaching Spaces 5.3 Laboratories and Research Facilities 5.4 Studios, Workshops and Technical Facilities 5.5 Academic and Administrative Workspace 5.6 Social Learning Spaces 5.7 Academic Libraries 5.8 Student Centres 5.9 Academic Innovation Centres and Business Incubators 5.10 Student Housing 5.11 Sports Facilities 6. Business and Cultural Spaces 6.1 Introduction 6.2 Business and Education 6.3 Cultural Spaces and Lifelong Learning Part 3: Developing a Community Learning Model 7. The Blending of Institutions 7.1 Discovery 1/Unlimited Paenga Tawhiti, Christchurch, NZ 7.2 Design Factory, Aalto University, Helsinki, Finland 7.3 Natural History Museum, London, UK 8. A Conceptual Learning Landscape 8.1 Bridge Schools, Xiashi - A Village Connection 8.2 New Orleans Nexus Centres - Education at the Hub 8.3 Hume Global Learning Village 8.4 Learning Towns - Dumfries 9. Creating a Learning Matrix 9.1 Supply and Demand 9.2 Building on a Workspace Environment Model 9.3 Physical and Virtual Learning Resources Bibliography Further Reading Index
EDF customized approach of power quality, an opportunity to meet customer's expectations

The emerging electricity market in Europe has accelerated the move towards the customer with its emphasis on his needs. In that "new" competitive world, is power quality, known to be needed, still a prior concern and how will utilities deal with it ? This paper presents EDF's policy in that matter. The history of power quality policy shows that, after a period devoted to nationwide improvements, EDF turned to more customized approaches. Regular surveys are conducted and used both for marketing studies and for measuring the effectiveness of the policy. Services have gone a step forward with custom power, as described in the experiment. In the future, power quality contracts might become more risk-management oriented. "Electricity as a product" is evolving to a complex combination of systems. The organization of the electric field has an impact on the sharing of responsibilities about delivered power quality. These responsibilities shares will have to be formalized.
Total quality management success factors and their relationships with performance measures in the food industry: a Mauritian case study

This study was undertaken to identify factors needed for a successful implementation of a total quality management (TQM) programme in Mauritian food manufacturing companies (MFMC) and to evaluate their impact on operational performance (OP), quality performance (QP) and business performance (BP). Carrying out reliability test and validity tests like exploratory factor analysis with the data collected, valid and reliable constructs were determined. Using these constructs, a proposed model that consisted of the three performance measures; OP, QP and BP, and the identified success factors aggregated as TQM index was tested using structural equation modelling. Results showed that the constructs were valid and reliable, and all the bivariate combinations in the proposed model were significant (p 0.05). Removing these two pathways made the model fit. Hence, TQM index did not have a direct and significant effect on BP in this study.
A Dynamic Approach for Distribution System Planning Using Particle Swarm Optimization

Minimizing the power system costs, specially the costs associated with network load growth is the final aim of a distribution system plan (DSP). Moreover, distributed generation (DG) is one of the most useful technologies for applying in DSP problems. Thus DGs in a distribution network must be planned in a way that this aim is fulfilled. In this paper, a new model based on DG solution is proposed to solve DSP problem in a power grid. In this model, an optimal power flow (OPF) is implemented to minimize the system expenses including operation and maintenance, and losses costs for handling the increased load. It is a dynamic distribution system planning (DDSP) because the schedule is provided over a whole period and also feeder reinforcement, substation expansion and new DGs installation are considered simultaneously as alternatives to load growth. Modified particle swarm optimization (PSO) algorithm is also used for the first time to obtain optimal topology of DGs. This algorithm is chosen because of its high efficiency in terms of shorter computational time and better convergence compared to other approaches. Performance of this method is evaluated on a sample radial distribution system in two cases. The results are also compared to a static planning method results.
Electrothermomechanical modeling of out-of-plane deformation in single-stepped beams actuated by resistive heating

An analytical model for the electrothermomechanical analysis of out-of-plane deformation in resistively heated single-stepped beams is presented. The model takes into account the conductive heat transfer from the beam to the substrate in which it is anchored. It also considers the temperature dependence of the beam material properties and accounts for the locally enhanced resistive heating effect around the release holes in the beam to predict temperature distribution along the beam. Energy method and Euler–Bernoulli beam theory are used for the prediction of out-of-plane deformation and stress distribution of the beam, as well as the out-of-plane rotation at the middle of the beam. The model considers the nonuniformity of the air gap between the beam and the substrate and captures the resultant asymmetric temperature distribution along the beam. The out-of-plane rotations in the middle of the single-stepped beam predicted by the analytical model and measured experimentally agree within 10%. The analytical model is then used to predict the maximum actuation current, which results in high temperature plastic deformation and agrees with the experiments within 5%. The proposed analytical model provides a good approach for systematic design and analysis of out-of-plane electrothermal microactuators based on single-stepped beam design.
Suppression of Rcn3 in the alveolar epithelial cells may have beneficial effect against COPD

Background: Chronic obstructive pulmonary disease (COPD) is a highly prevalent lung disease worldwide and imposes increasing disease burdens globally. COPD is characterized by irreversible airflow obstruction. Emphysema is one of the primary pathological features causing the irreversible decline of pulmonary function, while the precise mechanisms behind emphysema remain unclear. Reticulocalbin 3 (Rcn3) is an endoplasmic reticulum (ER) lumen protein localized in the secretory pathway of living cells. We have reported that Rcn3 in type II alveolar epithelial cell (AECIIs) plays a critical role in perinatal lung development and bleomycin-induced lung injury-repair. Since is associated with alveolar epithelial disruption, Rcn3 might be involved in the development of emphysema during COPD. Materials and Methods : We examined Rcn3 expression in lung specimens from patients (44 COPD patients and 26 non-COPD control patients) undergoing lung lobectomy or pneumonectomy. Mouse models of COPD and emphysema were established by cigarette smoke (CS) exposure and intratracheal installation of pancreatic porcine elastase (PPE), respectively. Rcn3 expression was detected in the lung tissues from these mice. Furthermore, conditional knockout (CKO) mice with Rcn3 deletion specific to AECIIs, were used to explore the role of Rcn3 in PPE-induced emphysema progression. Rcn3 protein expression in lung tissues were evaluated by Western blot and immunohistochemistry. Rcn3 mRNA expression in lung tissues was detected by qPCR.Results : Compared with non-COPD patients, Rcn3 expression was significantly increased in the lung specimens from COPD patients. Rcn3 expression was also significantly up-regulated in the lung tissues from COPD mice and emphysematous mice. Moreover, selective ablation of Rcn3 in AEC IIs significantly alleviated severity of the mouse emphysema in response to intratracheal installation of PPE.Conclusions: Our data, for the first time, indicated that Rcn3 in AECIIs might play a role in modulating the progression of emphysema, and thus be involved in the development of COPD. Suppression of Rcn3 expression in AECIIs may have a beneficial effect on COPD.This work was supported by National Natural Science Foundation of China (No. 81641004).
Análise comparativa sobre a eficácia de relés baseados em medidas de freqüência para detecção de ilhamento de geradores distribuídos

Frequency-based relays are usually employed in anti-islanding protection of synchronous generators connected to distribution systems. Since the relays performances are strongly dependent on the amount of active power imbalance in the islanded system, a set of detection time versus power imbalance curves is employed to evaluate the performance of these relays. Such curves are obtained by non-linear dynamical simulation. The concept of critical active power imbalance is also presented by using these curves. This methodology is applied to analyze under and over-frequency relays, rate of change of frequency relays (ROCOF relays) and vector surge or vector jump relays (VS relays).
Development and commercialisation of rechargeable wooden LED lamps

The focus of this project was to work with local staff at Kathmandu Alternative Power and Energy Group to commercialise a product which would generate recurring income for the organisation, to enable staff to learn the process of commercialisation and to provide employment and skills in the local community. Rechargeable Light Emitting Diode (LED) lamps were deemed suitable for these aims, as they are a simple product, yet one that is urgently required in Nepal due to the prevalence of ‘load-shedding’ – scheduled electrical blackouts. After reviewing the market, it was found that it would be impossible to compete with the price of cheap imported Chinese rechargeable LED lamps, so an alternative approach was taken. This involved sourcing wooden off-cuts from a local furniture factory and transforming them into attractive desk lamps, with the target market being affluent Nepalis, ex-pats living in Nepal and tourists. Successful initial sales were achieved through a Kathmandu-based ex-pat email group, hotel-markets and souvenir stores. KAPEG staff have continued the project, producing variations on the initial design including Himalayan rock salt lamps, employing local people to manufacture lamps and selling them at markets in Kathmandu. Staffing and marketing challenges remain to ensure the lamp manufacture and sales continue.
Hybrid non-parametric belief propagation for localization in wireless networks

Automatic self-localization is becoming a critical feature for the effective use of ad-hoc wireless networks in military or civilian applications, especially in short to medium range GPS- denied environments. The use of a distributed cooperative system which optimizes both the information and the computational cost of each node in the networks is not only highly desirable but, in the case of a high noise environment, necessary. In this paper, we propose a novel hybrid method combining the advantages of non- parametric belief propagation (NPBP) and maximum-likelihood (ML) estimation (e.g., expectation maximization (EM)). In this fashion, a message passing system is designed to minimize both the complexity of the messages sent, and the number of message passing iterations required for the nodes to self-localize. (5 pages)
Real-Time Identification of Possible Contamination Sources Using Network Backtracking Methods

In case of contamination intrusion in water distribution systems, water quality sensor data can be used to determine the location and time of the contamination source. One approach to contamination source identification is finding the source location that minimizes the difference between modeled and measured water quality. However, this is an inherently ill-posed mathematical problem, due to the shortage of measurements compared to source parameters, and regularization methods are required to force identification of a unique solution. An alternative practical method is developed in this paper to identify all possible locations and times that explain contamination incidents detected by the water quality sensors. Since sensors cannot detect the quantitative concentration of a contaminant, this method only requires a binary sensor status over time. A particle backtracking algorithm is used to identify the water flow paths and travel times leading to each sensor measurement. Those locations and times that are.
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220 kV gas-insulated transmission line-Palexpo Geneva Switzerland

This paper describes the first application in Geneva of the second generation GIL developed using N/sub 2//SF/sub 6/ gas mixtures. An existing high-voltage overhead transmission line had to be replaced because of the extension of buildings for the Palexpo fairs. The existing 220 kV line had to be laid underground for a length of about 420 m, mainly due to specified limits of the magnetic field in the exhibition area. An advantage of GIL in this context is that the transmission behaviour is quite similar to overhead lines. Additionally, gas-insulated lines are also suitable for autoreclosure functions on the complete line.
The beneficial impact of a p–p+ junction on DC and analog/radio frequency performance of a vertical super‐thin body FET

This article investigates the impact of the p–p+ junction (at the body‐substrate interface) on different direct current (DC) and analog/radio frequency (RF) performance parameters of a newly invented structure called vertical super‐thin body field effect transistor (VSTB FET) through a well‐calibrated TCAD tool. At a fixed body doping, the influence of p–p+ junction was inspected for different substrate doping (Ns); which reveals that Ns has a robust control on the device electrostatics. Interestingly, higher Ns is seen to significantly suppress different short channel effects (SCEs), which in turn helps to improve various DC parameters excellently. An increase in Ns from 1015 to 1018 cm−3 improves off‐state leakage current and on‐to‐off current ratio by three orders of magnitude. Also, such a change in Ns decreases subthreshold swing and drain‐induced‐barrier‐lowering by 8.78 mV/dec and 11.15 mV/V, respectively. The underlying physics behind such improvement at higher Ns is explored through the off‐state channel electron density profiles corresponding to different Ns values. Further, different analog/RF parameters such as transconductance, input capacitance, gate‐drain capacitance, output conductance, gain‐bandwidth‐product, and transconductance frequency product (TFP) show slight improvement for increasing Ns. In contrast, TGF, GFP, and GTFP offer large enhancement at higher Ns. This study is expected to demonstrate the significance of Ns on device performance.
Test and Evaluation of the Ballistic Missile Defense System

Abstract : This report summarizes the work done in FY03 to develop a systematic engineering-based approach for constructing a high-level architecture for a Ballistic Missile Defense System (BMDS). We developed six UML use cases to identify the external agents and systems that are involved in a typical missile-defense scenario. Based on these use cases, we developed the top level of a distributed architecture of a BMDS and conducted simulation studies to analyze the network requirements to support such an architecture. We also developed a physical model to analyze the sensor requirements to successfully detect and track a ballistic missile throughout the boost phase.
Deep Learning Assisted Differential Cryptanalysis for the Lightweight Cipher SIMON

SIMON and SPECK are two families of lightweight block ciphers that have excellent performance on hardware and software platforms. At CRYPTO 2019, Gohr first introduces the differential cryptanalysis based deep learning on round-reduced SPECK32/64, and finally reduces the remaining security of 11-round SPECK32/64 to roughly 38 bits. In this paper, we are committed to evaluating the safety of SIMON cipher under the neural differential cryptanalysis. We firstly prove theoretically that SIMON is a non-Markov cipher, which means that the results based on conventional differential cryptanalysis may be inaccurate. Then we train a residual neural network to get the 7, 8, 9-round neural distinguishers for SIMON32/64. To prove the effectiveness for our distinguishers, we perform the distinguishing attack and key-recovery attack against 15-round SIMON32/64. The results show that the real ciphertexts can be distinguished from random ciphertexts with a probability close to 1 only by 2 8.7 chosen-plaintext pairs. For the key-recovery attack, the correct key was recovered with a success rate of 23%, and the data complexity and computation complexity are as low as 2 8 and 2 20.1 respectively. All the results are better than the existing literature. Furthermore, we briefly discussed the effect of different residual network structures on the training results of neural distinguishers. It is hoped that our findings will provide some reference for future research.
Study on Transformation Rules of Diesel Fuels Contaminated Aquifer

Study on migration and transformation rules of diesel fuels pollution by using two-dimensional plexiglass tank to simulate underground aquifers. Through regular monitoring of the sampling ports in total petroleum hydrocarbon content of the water to determine the diesel fuels in the medium sand aquifer in the migration process, and compute out parameters of diesel fuels pollution in the medium sand aquifer in the mathematical model of migration. This prediction of diesel fuels pollution in the migration of sand media. The results showed: the highest values of different sampling ports used by the time its location is closely related to distance to sources, the concentration rose to the highest value used in a short time. The sampling ports far away from the pollution spilling place rose to the highest value of concentration used in a long time. After diesel fuels leaked 40 d later, the simulation of pollutants reached the bottom slot, and diesel fuels can be calculated transfered with a speed of 1cm•d-1, and then after 20 d more, TPH can be moved to simulate the water tank side pollution of the aquifer region.
Sideband radiation reduction exploiting pattern multiplication in directive time-modulated linear arrays

The reduction of the power losses in the sideband radiation of directive time-modulated linear arrays is addressed. The approach is based on the optimisation of the pulse sequence modulating the static excitations of the array elements to exploit pattern multiplication effects such that the sideband level of the harmonic pattern term related to the array factor is balanced by the element pattern distribution. A set of representative numerical results is reported and discussed to illustrate the potentialities and the limitations of the proposed approach.