Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust Tuning of Robbins-Monro Algorithm for Quantile Estimation -- Application to Wind-Farm Asset Management

In uncertainty quantiﬁcation of numerical simulation model outputs, the classical approaches for quantile estimation requires the availability of the full sample of the studied variable. This approach is sometimes not suitable as large ensembles of simulation runs need to gather a prohibitively large amount of data and computer memory. This problem can be solved thanks to an on-the-ﬂy (iterative) approach based on the Robbins-Monro algorithm. We numerically study this algorithm for estimating a discretized quantile function from samples of limited size (a few hundreds observations). We also deﬁne “robust” values of the algorithm parameters in two practical situations: when the ﬁnal number of the model runs N is a priori ﬁxed and when N is unknown in advance (it can then be minimized during the study in order to save cpu time cost). This method is applied to the estimation of indicators in the ﬁeld of engineering asset management for offshore wind generation. We show how the proposed algorithm improves the efﬁciency of the tool to support risk informed decision making in the ﬁeld of offshore wind generation.
Bio/chemical sensors heterogeneously integrated with Si-CMOS circuitry

Sensor arrays for bio/chemical sensing generally incorporate different types of sensors with different substrate coatings, enabling increased sensor sensitivity and selectivity. However, a challenge in using multiple sensor systems is integration with RF electronic circuitry. This work presents the development of flexural plate wave (FPW) acoustic devices implemented in a sensor array and co-integrated on a Si-CMOS circuit. FPWs are highly sensitive to surface perturbations and indirectly sense analytes by detecting mass changes on the sensing plate surface. The sensors are placed in an oscillating circuit, where changes in the oscillation frequency are used to determine changes in the wave velocity due to mass loading by the analyte [1, 2]. Since FPWs are generated in thin plates, these devices are highly sensitive to loading and exhibit the highest mass sensitivities of any acoustic wave device [1, 2]. In the work presented, FPWs are fabricated on Si/SiO2/Si native substrates, with the interdigitated transducers (IDTs) isolated from the active sensing surface. This innovative design enables the sensors to be fabricated and then separated from the native substrate, transferred, and bonded to the host Si-CMOS circuit. Thus, a new approach for the heterogeneous integration of FPW sensors and circuitry is provided. Following integration, the FPWs can be customized with either chemical membranes or biological functionalization. Moreover, this novel approach allows each sensor to be optimized independently before being connected to the host substrate. This paper presents the design, development, and integration process of an FPW sensor on Si-CMOS circuitry.
Genius Hour Project in Brazil: An Experience Report with 5th Graders, 10-Years-Old Students

Many technology companies have implemented what is called the Genius Hour: employees have time, within working hours, where they can devote themselves to projects of their own interest. In this context, this project has been adapted by A.J. Juliani to the classrooms as an inquiry learning instructional technique and a project-based learning. To the best of our knowledge there is no report in the literature about Genius Hour approach in Brazil, a country with its own educational challenges and issues. In this case report, we aim at presenting an experience report about the Genius Hour Project in Brazil, with 5th graders, 10-year-old students. Children define the subjects of their projects following an awareness-raising work based on the question, “How can I use a passion of my life to answer a problem or question that I have”? Students receive weekly guidance from a PhD. teacher with background on health, mathematics, music, pedagogy and engineering. The family gets involved in the process. Other school professionals are involved (eg. computer science, arts) are invited to support the students. Since 2018, we have already accomplished a total of 142 projects. This pedagogic approach brings to school the four pillars of 21st century education (learning to know, learning to live together, learning to do, and learning to be), looking for an entrepreneurial education. Students could develop important characteristics to be a successful entrepreneur. Besides, the school created a student-centered environment, developing critical thinking, social learning and opportunities to boost individual strengths.
Interaction of linearly polarized plane wave with phase interferometers-gratings

The theory of diffraction of planar waves on an extended Fabry-Perot interferometer with transverse sinusoidal and nonsinusoidal modulation of dielectric constant is developed. Calculations of light fields for such systems are realized. Optimal parameters of sinusoidal and nonsinusoidal interferometers-gratings are determined for their usage in devices of amplitude-phase, spatial and spectral modulation of light beams and information signal encoding devices for optical communication channels and networks. A number of devices are proposed where the interferometer-grating can operate as spatial switch due to the intensity redistribution between diffraction orders.
Design, Synthesis and Biological Evolution of Substituted 3-Chloroflavones

79 DOI: 10.37398/JSR.2021. 650611 Abstract: The present protocol provide an easy and practical approach for the synthesis of flavones in good yield. The formal procedure does not require further purification like, chromatography. This method is green and ecofriendly and economically beneficial. Structures were confirmed by IR, CHNMRandMass spectra. The prepared derivatives screened for their biological activities and most of them exhibiting antimicrobial and antibacterial activity.
Developments in Methods of Measuring Stresses in Compressor and Turbine Blades on Test Bed and in Flight

An organization is described that has been operating for some years in connection with investigating vibratory and transient stresses in aero-engines. A large proportion of the work is being done on compressors and turbines and information is given upon some of the factors controlling the life of high-temperature gauges on them both.Some techniques are described that are being currently used for a very big volume of testing at the Rolls-Royce works in Derby and are generally those which have been developed since the author's paper on turbine measurements read in America in 1951 (Drew 1952)†. The system used at Rolls-Royce for a large proportion of tests of vibratory stresses is viewed by having one, and more recently two, recording rooms connected to all experimental test beds and a number of rigs by permanently installed cables.Particular reference is made to the various forms of slip-rings in general use. The relative advantages of telemetering signals from aircraft to the ground and of obtaining flight .
Research on solar power satellites and microwave power transmission in Japan

Radio waves can benefit the welfare of humanity through other purposes than communications. Microwave power transmission (MPT) is one of the new technological frontiers. Solar power satellites (SPS) will provide a clean and limitless energy resource from space through this technique. This article answers the fundamental question of why we need to develop SPS from the viewpoint of critical global issues for mankind. It then reviews SPS research, mainly in Japan, in the 1980s and 1990s. These efforts include two MPT rocket experiments; a microwave-driven airplane experiment; and MPT technology developments, concepts, and systems studies of SPS. A summary of recent research committee activities on SPS and a road map of future SPS research plans in Japan concludes the article.
An analysis of energy balance in a helicon plasma source for space propulsion

This thesis covers work done on the mHTX@MIT helicon source as it relates to the analysis of power losses. A helicon plasma is a rather complex system with many potential loss mechanisms. Among the most dominant are optical radiation emission, wall losses due to poor magnetic confinement, and poor antenna-plasma coupling. This work sought to establish a first-order breakdown of the loss mechanisms in the mHTX@MIT helicon source so as to allow for a better understanding of the issues effecting efficiency. This thesis proposes the use of a novel thermocouple array, standard plasma diagnostics, and a simple global energy balance model of the system to determine greater details regarding the losses incurred during regular operation. From this it may be possible, by comparing the heat flux on the tube to the applied magnetic field profile, to gain some insight into the effects of magnetic field geometry on the character of the helicon discharge. Thesis Supervisor: Manuel Martinez-Sanchez Title: Professor of Aeronautics and Astronautics
Plasma Shock Wave in Gamma-Ray Bursts: Nonlinear Phenomena and Radiative Process

Since gamma-ray bursts (GRBs) are related to extreme explosions in the universe, they provide a unique setup to study various space plasma phenomena. The GRB spectra supply a wide range of information regarding the various nonlinear interactions and associated structures. In this work, we study the generation of shock fronts and their properties in a plasma. Such a plasma shock is the aftereffect of an explosion of which the prompt emission of GRBs are the signatures. The shock fronts are studied analytically by deriving the KdV–Burger’s equation. The solution of the KdV–Burgers equation via the “Cole-Hoff transformation” is studied alongside the usual “hyperbolic-tangent method. ” The dynamical properties of the shock solitons are studied further to second our findings and find the stability and any possibility of chaos. The results will help to interpret the stellar plasma properties from data. PACS—95.30. Qd, 52.65. -y, 52.35. -g, 52.35. Tc, 52.27. Lw
SACC: A Size Adaptive Content Caching Algorithm in Fog/Edge Computing Using Deep Reinforcement Learning

Edge/Fog caching is promising to mitigate the data traffic problem in both traditional wireline/wireless networks and the 5G network. Recently, deep reinforcement learning (DRL) has been adopted to provide a more powerful content caching policy. The current DRL-based scheme considers the requests for the same size and updates the caching for each request. However, the real-world data delivery systems usually refresh the content cache periodically, with different sizes of requests. To satisfy the real-world requirements, this study proposes a novel size adaptive content caching algorithm using DRL, termed SACC. SACC models the requests with random sizes and updates the cache after a batch of requests. Technically, SACC utilizes the Actor-Critic framework, which is able to process large discrete action space. SACC comprehensively considers the short-, medium- and long-term requests as the state to train the actor network. The reward is modeled as the cache hit rate. Once an action is selected from the policy network, it is expended to its k nearest neighbors. The critic network finds the action with the best reward from the k actions. The performance of the proposed SACC is evaluated through computer simulation. The experimental results showed that SACC could train the network much more efficiently and improve the cache hit rate by as much as 4% when comparing to the state-of-art DRL-based scheme.
Integration of management systems: focus on safety in the nuclear industry

The need to create integrated management systems (IMS) in order to handle the proliferation of management system standards is undeniable. There is also evidence in literature and practice that organizations are slowly starting to tackle the IMS issue, mainly by putting an integrated quality and environmental management system in place. Due to the existence of internationally accepted standards covering these two fields, namely ISO 9000 and 14000 series, such a scope of integration comes as no surprise. However, can and should other systems, for example, the ones for occupational health and safety, dependability, social accountability or complaints handling, be included? What would such an integration mean for the existing organizational structures and how could be it be accomplished? When we attempt to address IMS issues, do we really talk about the integration of standards, systems, both or neither? These and other important questions regarding IMS are addressed here. By means of an example from the nuclear industry, this paper focuses in particular on the integration of a safety management system within an IMS framework. Since safety is of such a paramount importance in nuclear plants, it makes sense to integrate safety requirements within a quality management system, as a possible first step in the integration efforts. Subsequently, other function‐specific requirements may be included to form a “real” IMS.
Cascaded two-level inverter-based multilevel static VAr compensator using 12-sided polygonal voltage space vector modulation

A static VAr compensation scheme using 12-sided polygonal voltage space vectors for high power application is proposed in this study. Using the polygonal voltage space vectors, the dc bus utilisation is increased in linear modulation region and total harmonic distortion (THD) is improved significantly in over modulation region. The power circuit topology consists of two standard two-level inverters, which are connected in cascade through an open-ended winding transformer. In order to obtain the polygonal voltage space vectors, the dc-link voltage of inverter 2 is maintained at 0.366 times the dc-link voltage of inverter 1. A simple control strategy to maintain the required dc-link voltage ratio as well as for reactive power compensation is proposed. To verify the proposed strategy, simulation is carried in MATLAB/SIMULINK. Simulation study is performed in linear, over modulation regions of the inverter and also with unbalanced network voltages. A laboratory prototype is designed and developed to validate the simulation results. Further, this scheme is compared with a sinusoidal pulse width modulation-based VAr compensation scheme using the same topology.
Unsupervised Deep Learning Approach for In-Vehicle Intrusion Detection System

The controller area network (CAN) is a standard communication protocol used for sending messages between electronic control unit of a modern automotive system. CAN protocol does not have any in-built security mechanisms and, hence, various attacks can affect the vehicle and cause life threats to the passengers. This article presents an unsupervised deep learning architecture for detecting intrusions on a CAN bus. The CAN intrusion detection system (IDS) architecture has an autoencoder that helps to learn the optimal features from CAN packets to differentiate between the normal and attacks. The optimal features are passed as input to the Gaussian mixture model, which helps us to cluster the CAN network packet data samples into normal and attacks. A detailed analysis of the proposed architecture is done on the CAN IDS dataset. To develop a robust CAN IDS system and achieve generalization, the proposed method is evaluated on the other two computer network intrusion datasets and a wireless sensor network dataset. In all the experiments, the proposed method has performed better than the existing unsupervised method and mainly showed a performance gain of 6.4% on the CAN IDS dataset. This indicates that the proposed method is robust and generalizable across detecting various attacks in a CAN bus and most importantly, the method can be used in real time to effectively monitor the CAN network traffic to proactively alert possible attacks.
Design and construction of the Downland Gridshell

A gridshell is a structure that gains its strength and stiffness through its double curvature configuration. Its advantages are a minimum use of materials, structural efficiency and the creation of a large volume, as well as the potential for quick and cost-effective construction. However, few gridshells have been built due to a lack of knowledge and data. The process of creating the Downland Gridshell, as a specialist museum workshop completed in the spring of 2002, is a case study of successful collaboration and innovation in architecture, engineering and construction led by a multidisciplinary team of practitioners. This gridshell structure was composed of a double layer of mats comprising four layers of thin timber laths. These were harnessed together as a flat mat and then formed into a three-dimensional structure by a carefully orchestrated lowering of each supporting scaffolding prop, thereby harnessing gravity to pull the mat into shape. Many innovations are described in detail: team working, risk sharing, multidisciplinary design, structural modelling, the creation of new structural components, cladding, and construction processes including the sequence and techniques of gridshell forming. Advances made in this project have added to the knowledge of gridshell behaviour, construction and cost, thereby making the design and construction of future timber gridshells a more viable option.
A New Intelligent Approach Based on Genetic Algorithm for Finding Optimal Base Stations Configuration in the Dynamic Scenario Used in SON

The problem of automatic selection and configuration of base station sites in the dynamic scenario is investigated. We propose a intelligent approach based on Genetic Algorithm used to adjust the level of the antenna power and select the base stations’ site from the candidate sites. According to the users’ density the base stations adjust their antenna radiated power automatically. Results are given that most of base stations are powered off when the density becomes very low, and show that it will save lots of energy resources. Since this algorithm can adjust the status of base stations intelligently and automatically, it can be used in SON.
Proactive Process Control Monitoring using Trends

Proactive monitoring involves, in part, the effective use of time-based information such as Trends. In the oil and chemical industries, the benefits of a proactive approach include less down-time, fewer alarm-flooding stresses, and maximized product output. This report aims to describe the effective use of trend displays by examining how expert Distributed Control System (DCS) operators monitored and visualized trends proactively. We found two preferences for trend display layouts, suggesting a lack of design guidelines and understanding towards optimum trend usage performance in the industry. The decision process in proactive monitoring is discussed, along with the attributes that define an expert trends user.
Lateral/directional control for an autonomous, unmanned airship

Project AURORA aims at the development of an unmanned airship capable of autonomous flight over user‐defined locations for aerial inspection and imagery acquisition. Presents a guidance control strategy for the trajectory path following of the AURORA airship, where the objective is to make the vehicle follow a set of pre‐defined points. The guidance strategy is based on a path tracking error generation methodology that takes into account both the distance and the angular errors of the airship with respect to the desired trajectory. The guidance system is composed of a path tracking guidance controller (as outer loop) and a heading controller (as inner loop), using the rudder deflection. Also proposes an additional roll controller, using the aileron input, in order to reduce rolling oscillations during yaw maneuvering and due to atmospheric turbulence.
Disruption Management of an Inequality-Based Multi-Fleet Airline Schedule by a Multi-Objective Genetic Algorithm

Abstract This paper presents a novel application of a Method of Inequality-based Multi-objective Genetic Algorithm (MMGA) to generate an efficient time-effective multi-fleet aircraft routing algorithm in response to the schedule disruption of short-haul flights. It attempts to optimize objective functions involving ground turn-around times, flight connections, flight swaps, total flight delay time and a 30-minute maximum delay time of original schedules. The MMGA approach, which combines a traditional Genetic Algorithm (GA) with a multi-objective optimization method, can address multiple objectives at the same time, then explore the optimal solution. The airline schedule disruption management problem is traditionally solved by Operations Research (OR) techniques that always require a precise mathematical model. However, airline operations involve too many factors that must be considered dynamically, making a precise mathematical model difficult to define. Experimental results based on a real airline flight schedule demonstrate that the proposed method, Multi-objective Optimization Airline Disruption Management by GA, can recover the perturbation efficiently within a very short time. Our results further demonstrate that the application can yield high quality solutions quickly and, consequently, has potential to be employed as a real-time decision support tool for practical complex airline operations.
Production of Synbiotic-Drinkable Yoghurt Fortified with Different Probiotic Strains and Oat

Synbiotic-drinkable yoghurt was produced by using some new probiotic bacteria and enriched with 1% oat. The resultant synbiotic-drinkable yoghurts were stored at 5°C and analyzed for physico-chemical, rheological, microbiological and sensory properties when fresh and after 7, 14 and 21 days. The obtained results cleared that the acid development of probiotic bacteria revealed that control sample (C 1 ) without probiotic strains or oat and yoghurt with Bifidobacterium breve (B) recorded the highest pH values, while yoghurt with Lactobacillus acidophilus (A) recorded the lowest pH during the fermentation of yoghurt. The chemical composition of the produced yoghurt indicated slightly decreases in carbohydrates and pH values, Moreover there were significantly increased in TS, protein, fat and titratable acidity contents during cold storage. On the other hand, WSN (%), diacetyle (ppm) and viscosity (cp) significantly increased in the fortified treatments comparing to the unfortified control (C 1 ). The total viable cell counts of TBC, LAB, Streptococcus thermophilus and probiotic bacteria (log cfu/ml) increased during cold storage through the first 7 days then they decreased thereafter gradually till the end of storage period. Generally, it can be found that enriched synbiotic-drinkable yoghurt treatments with different probiotic strains and oat had higher viable counts compared to control (C 1 ); there was an improvement of sensory properties by adding probiotic bacteria and oat.
Multi-physics multi-scale modeling issues in LED

Multi-physics multi-scale modeling issues in various stages of the LED manufacturing such as MOCVD reactor design, epitaxial growth based on silicon wafer, chip design and manufacturing, module packaging and assembly have been discussed, which are critical to LED fabrication. In order to enhance the LED design and fabrication efficiency, we propose a new concept to integrate multi-physics/multi-scale modeling as a simulation platform to assist LED design and fabrication. It is indicated that the simulation that relies on multi-physics/multi-scale modeling has the potential to significantly reduce development costs and optimize the fabrication processes of LED