Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation and experimental analysis of austenitic stainless steel weld joints using ultrasonic phased array

The phased array ultrasonic technique provides enormous advantages over the conventional ultrasound technique, mostly because of its ability to focus and steer the beam, and its electronic scanning capabilities. Phased array ultrasonic testing of austenitic stainless steel welds is very difficult, due to the presence of coarse or large grains, anisotropic grain structure in the welds and the acoustic impedance mismatch between the base metal and weld metal interface. Due to the influence of these phenomena, it is difficult to analyze the inspection results and to classify the ultrasonic indications. In this paper, two different types of phased array probes (linear array (LA) and dual matrix array (DMA)) are investigated to improve the reliability of ultrasonic testing for austenitic welds. Modelling is used to simulate the propagation of ultrasonic waves in welds using a combination of the approaches of the ray-based model and the semi-analytical model. The optimization of phased array probes (both LA and DMA) for better signal-to-noise ratio and defect detectability has been studied with the help of simulation. The modelling results are validated with experimental results carried out on weld samples. Experiments are carried out on stainless steel weld samples with artificial defects of side drill hole and notches. The experimental ultrasonic images are obtained with linear array probes and dual matrix array probes and were validated with radiographic images. The study reveals that the DMA probe is superior to the LA probe and this is confirmed through the signal-to-noise ratio calculation. The present work clearly indicates that the DMA probe is a promising candidate to evaluate austenitic stainless steel welds.
Fermions localization on de Sitter branes

Spin 1/2 fields localization on a asymmetric dS${}_4$ scenario, where the brane interpolates between two spacetimes dS${}_5$ and AdS${}_5$, is determined. The bulk spinor is coupled to scalar field of the brane by a non-minimal Yukawa term compatibles with the scenario's geometry. We show that, independently of wall's thickness, only one massless chiral mode is localized on the wall. The massive chiral modes follow a Schr\"odinger equation, whose potential has a mass gap determined by Yukawa constant, which is a generic property of this system. The fermions spectrum is defined bellow the gap, by bound states of both chiralities with the same mass, and above the gap, by a continuous spectrum with local and global resonant modes of both chiralities and different mass.
Interpretation of artifacts in Fourier transform infrared spectra of atmospheric pressure dielectric barrier discharges: relationship with the plasma frequency between 300 Hz and 15 kHz

This article describes the occurrence of a phenomenon that is observed while recording mid-infrared (4000–700 cm−1) absorption spectra of dielectric barrier discharges sustained at frequencies ranging from 300 Hz to 15 kHz. This phenomenon is observed as the presence of very sharp spikes in the spectrum, for which the wavenumber depends on both the high voltage frequency used to generate the discharge and the velocity of the moving mirror of the interferometer (which in turn determines the interferogram sampling frequency). While it is well known that the consumption of gas precursor within plasmas can be followed, we demonstrate that Fourier transform infrared spectroscopy also makes it possible to monitor frequencies and coupling of excitation mechanisms occurring in the plasma.
Context-Aware Analysis Scheduling in Wireless Body Area Networks

Wireless body area networks have seen a rise in popularity both for clinical and personal use, but, much work needs to be done to address clinical settings that are dynamic in nature. We consider the scenario where a mobile device receives several signals from various body sensors, and executes analysis in real-time. There can be periodic analysis input statically with a user-defined priority ranking, but also user-requested analysis, and event detection arising dynamically. This can be modelled as a real-time system scheduling problem, with both periodic and aperiodic tasks. Battery management is also a crucial component in medical applications, as physicians may use a device for several hours without charging. In the proposed scheduling design, we incorporate battery adaptations interleaving periods of inactivity into our schedule to preserve battery life. In a simulated scenario, we compare an adapted baseline algorithm, earliest deadline first, with a heuristic based context-aware scheduling algorithm, to determine utility in terms of completion count, effective processor utilization, and time-based valuation.
A Light-weight Multispectral Sensor for Micro UAV - Opportunities for Very High Resolution Airborne Remote Sensing

In this paper we present the prototype of a light-weight multi-spectral sensor which can be flown on a micro UAV and we discuss the promising results from two field tests which show the excellent potential for assessing plant health in agronomical research. We start out by illustrating the gap between airand space-based remote sensing (RS) on the one side and ground-based RS on the other. We highlight the need for (very) high resolution remote sensing offered by low altitude airborne platforms such as mini or micro UAVs (unmanned aerial vehicles). For this purpose, we first discuss the specific characteristics and requirements of typical applications requiring very high resolution RS. We then look into recent developments in light-weight UAV technologies and present the micro UAV which served as platform for the sensor development and tests at the University of Applied Sciences Northwestern Switzerland (FHNW). In the following section we provide a description and discussion of the MultiSpectralMicroSensor (MSMS), the prototype of a light-weight multispectral sensor developed at the FHNW. We further describe two field campaigns with two different types of UAV platforms and MS sensors and discuss the obtained results, which clearly demonstrate the excellent potential of very high-resolution micro UAV based remote sensing applications. * Corresponding author.
The Effect of Mixing on Metallicity Gradients in the Intracluster Medium

It is generally argued that most clusters of galaxies host cooling flows in which radiative cooling in the center causes a slow inflow. However, recent observations by Chandra and XMM conflict with the predicted cooling flow rates. It has been suggested that radio jets that are situated at the center of clusters of galaxies can assist in reducing the deposition of cold gas. Radio jets inflate cavities of hot radio plasma that rise through the cluster atmosphere and thus stir the intracluster medium. In this Letter, we investigate whether this scenario is consistent with the pronounced metallicity gradients that have been observed in the cores of clusters.
Neighboring Region Dropout for Hyperspectral Image Classification

Deep neural networks (DNNs) exhibit great performance in the task of hyperspectral image (HSI) classification. However, these models are usually overparameterized and require large amounts of training data in order to properly avoid the curse of dimensionality and the variability of spectral signatures, thus suffering from overfitting problems when very few training samples are available, due to poor generalization ability in this particular case. The traditional regularization dropout (DO) strategy has been shown to be effective in fully connected DNNs but not in convolutional-based ones. This is mainly due to the way these architectures manage the spatial information. In this letter, we introduce a new approach to improve the generalization of convolutional-based models for HSI classification. Specifically, we develop a neighboring region DO technique that selectively cuts off certain neighboring outputs, creating spatial dropped regions. Our experimental results with two well-known HSIs reveal that the newly proposed method helps to achieve better classification accuracy than the traditional DO strategy, with a low computational cost.
Design & analysis of a dual-band MIMO antenna to reduce the mutual coupling

A compact dual wide-band multiple-input-multiple-output (MIMO) radiator is presented in this article. The MIMO radiator is developed on a 1.5 mm thick FR-4 substrate. The proposed structure is composed of U-shaped patches which are connected with small rectangular slit loaded circular rings and partial ground plane with chamfer edges. This arrangement is placed symmetrically at a far distance of 2.5 mm to achieve dual-operating bands with a high amount of isolation, radiation efficiencies and group delay between two radiators. The proposed compact dual-band radiator is resonating at 2.5/6.4 GHz frequencies and it provides isolation greater than 20 dB over the operating bands. The proposed design has a size of 0.45 λ0 × 0.291 λ0 × 0. 03λ0 mm and |S11| of about 41.25 dB and 14.58 dB. This design has a wide impedance matching in the range of frequencies from 2.38 GHz to 3.17 GHz & 5.14 GHz to 7.39 GHz with |S21| < 15 dB. The performance of diversity is calculated through diversity gain (DG) higher than 9.99, and Envelope Correlation Coefficient (ECC) which is less than 0.04 over the operating bands.
Creating Tactile Graphs for Students With Visual Impairments

Educational technologists are often asked to provide assistance in the identification or creation of assistive technologies for students. Individuals with visual impairments attending graduate schools are expected to be able to work with data sets, including reading, interpreting, and sharing findings with others in their field, but due to their impairments may not be able to work with standard displays. The cost and time involved in preparing adapted graphs based on student research data for individuals with visual impairments can be prohibitive. This chapter introduces a method for the rapid prototyping of tactile graphs for students to use in data analysis through the use of spreadsheets, internet-based conversion tools, and a 3D printer.
Investigating Detectability of Infrared Radiation Based on Image Evaluation for Engine Flame

Aiming at the application requirements of infrared detection, the influence of earth background interference on plume radiation detection is investigated and discussed in this article. The infrared image of the earth’s atmospheric background radiation is simulated by the spectral correlation based on the conversion model of the surface radiation with different bands. The infrared radiation image of the jet flame and the background is generated by overlapping the infrared radiation of the engine flame and the background radiation according to the detection angle of view. Through the image quality evaluation model, the detectability of the flame is analyzed. The simulating results show that the comprehensive statistical features such as image information entropy, variance and signal-to-clutter ratio can be used to evaluate the detectability of the engine flame.
Capturing Plume Rise and Dispersion with a Coupled Large-Eddy Simulation: Case Study of a Prescribed Burn

Current understanding of the buoyant rise and subsequent dispersion of smoke due to wildfires has been limited by the complexity of interactions between fire behavior and atmospheric conditions, as well as the uncertainty in model evaluation data. To assess the feasibility of using numerical models to address this knowledge gap, we designed a large-eddy simulation of a real-life prescribed burn using a coupled semi-emperical fire–atmosphere model. We used observational data to evaluate the simulated smoke plume, as well as to identify sources of model biases. The results suggest that the rise and dispersion of fire emissions are reasonably captured by the model, subject to accurate surface thermal forcing and relatively steady atmospheric conditions. Overall, encouraging model performance and the high level of detail offered by simulated data may help inform future smoke plume modeling work, plume-rise parameterizations and field experiment designs.
Introductory Information Systems Course Redesign: Better Preparing Business Students

Aim/Purpose The dynamic nature of the information systems (IS) field presents educators with the perpetual challenge of keeping course offerings current and relevant. This paper describes the process at a College of Business (COB) to redesign the introductory IS course to better prepare students for advanced business classes and equip them with interdisciplinary knowledge and skills demanded in today’s workplace. Background The course was previously in the Computer Science (CSC) Department, itself within the COB. However, an administrative restructuring resulted in the CSC department’s removal from the COB and left the core course in limbo. Methodology This paper presents a case study using focus groups with students, faculty, and advisory council members to assess the value of the traditional introductory course. A survey was distributed to students after implementation of the newly developed course to assess the reception of the course. Contribution This paper provides an outline of the decision-making process leading to the course redesign of the introductory IS course, including the context and the process of a new course development. Practical suggestions for implementing and teaching an introductory IS course in a business school are given. Findings Focus group assessment revealed that stakeholders rated the existing introductory IS course of minimal value as students progressed through the COB program, and even less upon entering the workforce. The findings indicated a complete overhaul of the course was required. Intro IS Course Redesign 114 Recommendations for Practitioners The subject of technology sometimes requires more than a simple update to the curriculum. When signs point to the need for a complete overhaul, this paper gives practical guidance supplemented with relevant literature for other academicians to follow. Impact on Society Students are faced with increasing pressure to be proficient with the latest technology, in both the classroom where educators are trying to prepare them for the modern workplace, as well as the organization which faces an even greater pressure to leverage the latest technology. The newly designed introductory IS course provides students, and eventually organizations, a better measure of this proficiency. Future Research Future research on the efficacy of this new course design should include longitudinal data to determine the impact on graduates, and eventually the assessment of those graduates’ performance in the workplace.
A Monograph of the Puzosiidae (Ammonoidea) from the Cretaceous of Hokkaido

This is a revised and enlarged monograph of the ammonoid family Puzosiidae. The scheme of classification in Matsumoto (l954b) is not satisfactory especially in that the dimorphism was ignored at that date. Based on the specimens obtained carefully and patiently from the Cretaceous outcrops in Hokkaido as well as previous ones, examples of dimorphic pairs are now shown in a considerable number of species. The characteristic features in the adult stage and also in the immature stages should be investigated on both microand macroconchs. Through such ways of study the adequate scheme of classification would be led. The family Puzosiidae in this paper is defined in a narrower sense than the subfamily Puzosiinae of the current use. The family consists of the genera (or taxa of generic rank) Puzosia, Matsumotoceras, Mesopuzosia, Bhimaites, Pachydesmoceras, Anapuzosia, Jimboiceras, Austiniceras, Parapuzosia, Grandidiericeras, Lytodiscoides, Achilleoceras and three other new genera with peculiar ornaments on the outer whorl of an adult stage. They all have huge or large macroconchs and finely and deeply incised suture of Puzosia pattern. In the last phase of the evolutionary history of the family, appear Neopuzosia and then Kitchinites (s. s.), which are small or medium sized but have evidence of dimorphism. All of these genera are defined or reviewed in Part I of this monograph. The puzosioid genera of Early Cretaceous ages with less complex sutures and without clear evidence of dimorphism are excluded from the Puzosiidae, whereas Hauericeratinae are to be referred to the Puzosiidae, as is discussed in another paper. 23 species of 10 genera from the Cretaceous (Albian to Campanian) strata of Hokkaido are amply described in Part II, and 2 others are discussed. For the descriptions of some species coauthorships are taken, depending on the responsibility. If we add Grandidiericeras nagaoi Matsumoto et Saito recently introduced elsewhere, then there are 26 species of 11 genera in Hokkaido, of which 6 new species are established in this paper. In connexion with the descriptions, some species already errected on the specimens outside the Japanese province are reviewed. A MONOGRAPH OF THE PUZOSllDAE (AMMONOIDEA) FROM THE CRETACEOUS OF HOKKAIDO
Brief Announcement:Dynamic Forwarding Table Aggregation withoutUpdate Churn: The Case of Dependent Prefixes

This paper considers the problem of a route or SDN controller which manages a FIB table. The controller wants to aggregate the FIB entries as much as possible while minimizing the interactions with the FIB. We present a O(w)-competitive online algorithm for the aggregation of FIB tables in presence of routing updates, where w is the maximum length of an IP address. Our result is asymptotically optimal within a natural class of algorithms.
Emotion Extraction from Facial Expressions by Using Artificial Intelligence Techniques

Nowadays, there is no application area in which Artificial Intelligence oriented solutions are not employed. It is possible to see its use in even daily life and the solution scope of this scientific field of the future is growing day by day. Because of its great advantages in analyzing the physical world and solving real-world problems, Artificial Intelligence techniques are often employed in different research problems that cannot be solved with traditional computational approaches. In this context, using intelligent systems to understand human features is one of the most popular research interest for recent years. In the sense of the explanations so far, the objective of this study is to introduce a research in which a system that is able to extract emotions from individuals’ facial expressions was designed and developed. In detail, the system considered here a Cascade Feedforward Artificial Neural Network model trained by a recent optimization algorithm called as Vortex Optimization Algorithm. The developed system has been applied to different sets of photos from the literature and positive results were obtained at the final for each different set considered.
Individual diet variations in a wintering population of Black Redstart Phoenicurus ochruros: relationships with bird morphology and food availability

Chez les oiseaux, les etudes ecomorphologiques se sont en general focalisees sur l'analyse d'especes etroitement apparentees, plus rarement sur les differences individuelles infraspecifiques. Le present travail, relatif au Rougequeue noir Phoenicurus ochruros, analyse la principale hypothese de la theorie ecomorphologique, a savoir l'existence d'une correlation au niveau de l'individu entre morphologie et ecologie. Des donnees biometriques et des echantillons de feces ont ete recueillis sur 14 individus d'une population hivernale du bassin de Guadix (sud-est de l'Espagne) ou les oiseaux hivernent, eprouvant des conditions climatiques difficiles et une nourriture rarefiee. Les donnees relatives au regime alimentaire variaient fortement entre les individus bien que soulignant toujours une base de fourmis et de charancons du sol et, en general, ne montraient aucune relation significative avec les donnees sur la disponibilite de la nourriture. Les oiseaux affichaient egalement des differences individuelles dans leurs patrons de selection des proies. Toutefois, la correlation etait faible entre les traits morphologiques des oiseaux et les caracteristiques des proies. Les individus fondaient leur regime alimentaire sur les fourmis et les charancons, consommant d'autres proies au fil des rencontres et utilisant des reposoirs proteges afin de maintenir de fortes reserves adipeuses leur permettant de survivre dans des conditions hivernales imprevisibles. Il est suggere que la rarete et la faible qualite des proies disponibles dans la region d'une part forcent le Rougequeue noir a se comporter en generaliste dans sa strategie d'approvisionnement alimentaire et, d'autre part, n'autorisent aucune specialisation individuelle sur un quelconque type de proie.
Global noise - Rap and Hip-Hop outside the USA

The thirteen essays that comprise Global Noise explore the hip hop scenes of Europe, Anglophone and Francophone Canada, Japan and Australia within their social, cultural and ethnic contexts. Countering the prevailing colonialist view that global hip hop is an exotic and derivative outgrowth of an African-American-owned idiom subject to assessment in terms of American norms and standards, Global Noise shows how international hip hop scenes, like those in France and Australia, developed by first adopting then adapting US models and establishing an increasing hybridity of local linguistic and musical features. The essays reveal diasporic manifestations of international hip hop that are rarely acknowledged in the growing commentary on the genre in the US. In the voices of rappers from around the globe with divergent backgrounds of race, nationality, class and gender, the authors find a consistent rhetoric of opposition and resistance to institutional forms of repression and the construction of a cohesive, historically-based subculture capable of accommodating regional and national diversities. CONTRIBUTORS: Roger Chamberland, Ian Condry, David Hesmondhalgh, Claire Levy, Ian Maxwell, Caspar Melville, Sarah Morelli, Mark Pennay, Andre J.M. PrEvos, Ted Swedenburg, Jacqueline Urla and Mir Wermuth. "
Alternate 3D Control-Display Mappings

The desire to have intuitive, seamless 3D interaction fuels research into new 3D interaction approaches. However, research continues to rely on Brunelleschi’s perspective to provide a sense of visual depth to create a 3D graphical display. The interactive control space has been mapped directly into the 3D virtual display space without much thought about the effect that perspective distortion has on the interaction. There are a myriad of possible 3D control-display mappings. Previously, 3D interaction mapping options have focused on the manipulation of control-display ratio. In this thesis, I present a conceptual framework that provides a more general control-display description. I conduct a user study to compare three different mappings to the commonly used mapping for 3D selection and manipulation tasks. The results indicate that all three may be considered viable alternatives. Together, this 3D control-display mapping framework and study open the door to further exploration of 3D interaction variations.