Miracle-dz/UniFAR-FTUs huggingface dataset:
A DAUBECHIES'-WAVELET-BASED TIME DOMAIN ELECTROMAGNETIC FIELD MODELING TECHNIQUE

Numerical analysis has become an important technique for the modeling of electromagnetic field. However, there still exist many restrictive factors that make numerical analysis difficult to apply to practical problems. The finite-difference time-domain (FDTD) technique [1] and the transmission line matrix method [2] have been applied to many problems and proven to be promising techniques by virtue of their versatility. However for modeling electrically large structures, they are often restricted by memory shortage like other space-discretization methods. The multi-resolution time-domain (MRTD) method based on the Battle-Lemarie wavelets [3] has a highly linear numerical dispersion property. It has been demonstrated that, with this technique, space discretization with only a few cells per wavelength gives accurate results, leading to a reduction of both memory requirement and computation time. Recently, the wavelet-Galerkin scheme based on Daubechies’ compactly supported wavelet with two vanishing moments (D2) was proposed by Cheong et.al. [4]. Although the numerical dispersion of this technique is larger than that of the MRTD method, it has advantages over MRTD in that the Daubechies’ scaling function has compact support, and the stencil size or the number of coefficients in the timeevolution equations is kept to a minimum. Cheong’s method also adopts the so-called “shifted interpolation property”, which enables local field sampling in spite of the asymmetry of the Daubechies’ scaling function and a support larger than unity; with this property, the evaluation of the constitutive equations can be omitted even for inhomogeneous media. The authors have already extended the method to the use of Daubechies’ scaling functions with three and four vanishing moments (denoted as D3 and D4, respectively) [5]. By using basis functions of higher regularity and minimum support, better accuracy and minimum stencil sizes can be expected, resulting in an optimally efficient algorithm. In this paper, a three-dimensional formulation of the wavelet-Galerkin scheme is presented with an implementation of uniaxial perfectly matched layer (UPML) absorbing boundary conditions (ABC) [6]. The accuracy of the present method is first verified, and then it is applied to the analysis of an electricallylarge optical waveguide, which is too expensive to solve with the conventional FDTD method, and the advantage of the present method is demonstrated. This is, to the best of authors’ knowledge, the first attempt to apply the wavelet based approach to the full-wave time-domain analysis of electrically large inhomogeneous structures such as optical waveguides.
Openness and Self-enhancement are predictors of cultural and economic beliefs: an analysis of European countries across 15 years

In this study, we investigate the relationship between values and political beliefs and how it varies as a function of cultural context and time. In particular, we analyzed the effects of Conservation vs. Openness to change and Self-transcendence vs. Self-enhancement for cultural and economic political beliefs using data from nationally representative samples of citizens from 34 European countries from eight rounds of the European Social Survey (data spans the 2002–2016 period). We found that the effects of values on political beliefs are moderated by the Western vs. Eastern cultural context and that there is a modest round-to-round variation in the effects of values on beliefs. The relationship between Openness and cultural beliefs was negative and largely consistent across the Western and Eastern countries. Similarly, the effects of Self-enhancement were positive across these Western and Eastern countries. In contrast, the effects of Openness on economic beliefs were positive for the Eastern countries but largely weak and inconsistent for the Western countries. Finally, the effects of Self-enhancement on cultural beliefs are weak for both cultural contexts.
Background noise requirements and audience noise in performance spaces

Nowadays, in the acoustic design of performance spaces the trend is to set speci cations for background noise levels very low. However, the solutions in order to comply to this specications can aect the cost of the overall project substantially. It the noise produced by the audience during a performance was considered, the specications for background noise could be set to less stringent levels. A method has been developed for determining the noise produced by the audience during a performance. Digital recordings of performances are taken in four performance spaces: Malmo Koncerthuset, Odense Carl Nielsen Salen, Copenhagen Operaen and Snderborg Alsion Koncertsalen. After processing the recorded data, the performances sound pressure level probability density functions are incured and the noise produced by the audience can be identied from it. It is shown that when a hall is fully occupied the noise produced by the audience is signicantly larger than the background noise in the midfrequency part of the spectrum. Thus, the design criterion in used nowadays turn out to be too stringent if the noise produced by the audience is taken into account. Multiple linear regression analysis is used to develop several empirical models to predict the audience noise from dierent known parameters like, for example, the volume of the room, the number of audience, the background noise in the unoccupied room, or the reverberation time.
Sensitivity of electrical drive performance to controller parameter error

SENSITIVITY OF ELECTRICAL DRIVE PERFORMANCE TO CONTROLLER PARAMETER ERROR By Andrew Stephen Babel Saturation, cross-saturation, heating of the windings and magnets are nonlinear effects that can affect the measured machine parameters and performance. Because the machine parameters are used in the controller, inaccuracies in parameters will be reflected in the final controller. With parameter error, the controller will not operate as designed. Most studies justify the work of improving controllers and detecting faults by arguing that poor modeling and faults have a deleterious effect upon performance. They fail to completely define the effect on performance. The effect that controller modeling errors have upon performance is described for poor characterization, some minor faults, and the failure to include unmodeled dynamics. The sensitivity of performance to characterization is determined because of the vital nature of accurate parameter determination. Performance effects due to controller parameter error, saturation and other unmodeled dynamics are calculated to justify controller improvements, detailed characterization techniques and fault detection.
From Manual to Automatic Stereoplotting: Evaluation of Different Road Network Capture Processes

S. Airault, O. Jamet and F. Leymarie, "From Manual to Automatic Stereoplotting: Evaluation of Different Road Network Capture Processes". In: International Archives of Photogrammetry and Remote Sensing, Vol. 31(3), ISPRS, pp. 14-18, 1996.
Student Attendance System Based on Fingerprint Recognition and One to Many Matching

Our project aims at designing an student attendance system which could effectively manage attendance of students at institutes like NIT Rourkela. Attendance is marked after student identification. For student identification, a fingerprint recognition based identification system is used. Fingerprints are considered to be the best and fastest method for biometric identification. They are secure to use, unique for every person and does not change in one's lifetime. Fingerprint recognition is a mature field today, but still identifying individual from a set of enrolled fingerprints is a time taking process. It was our responsibility to improve the fingerprint identification system for implementation on large databases e.g. of an institute or a country etc. In this project, many new algorithms have been used e.g. gender estimation, key based one to many matching, removing boundary minutiae. Using these new algorithms, we have developed an identification system which is faster in implementation than any other available today in the market. Although we are using this fingerprint identification system for student identification purpose in our project, the matching results are so good that it could perform very well on large databases like that of a country like India (MNIC Project). This system was implemented in Matlab10, Intel Core2Duo processor and comparison of our one to many identification was done with existing identification technique i.e. one to one identification on same platform. Our matching technique runs in O(n+N) time as compared to the existing O(Nn^2). The fingerprint identification system was tested on FVC2004 and Verifinger databases.
A FRAMEWORK FOR UNDERSTANDING THE PUBLIC'S PERSPECTIVES OF MINING APPLIED TO THE KENTUCKY COAL INDUSTRY

A FRAMEWORK FOR UNDERSTANDING THE PUBLIC'S PERSPECTIVES OF MINING APPLIED TO THE KENTUCKY COAL INDUSTRY People’s perceptions of mining are heavily based on the media they consume and the messages therein. News outlets ordinarily report on mining only when there is an accident or environmental concern. When messages that the public is exposed to are negative, it is no wonder that there are negative perceptions about mining. Current public relations campaigns on the behalf of specific companies or select sectors do exist; however, this is often a reactionary move in response to recent shifts in the socio-political environment. The details of these campaigns are often tied up in proprietary information or withheld by public relations firms. Hiring public relations firms is often cost prohibitive for many single mining companies. Mining serves a vital purpose in providing society with the base resources to sustain the standard of living it has come to expect. This important purpose needs to be fully communicated to the public in order to educate them. Attitudes about mining need to be identified so misinformation can be accurately targeted. Before this can begin, these attitudes must be measured and knowledge gaps identified. This work focused on two main objectives on the mining industry’s behalf. The first focus was to determine attitudes towards mining and knowledge about mining. This was done through a survey administered to three counties in Kentucky. From this survey, guidance for communication efforts were produced, through the suggestion of specific topics for messages, which directly addresses identified attitudes of the public and misconceptions about mining. Relationships between knowledge and attitudes were explored, as well as relationships between demographic information and knowledge, and attitudes. Subsequently, an empirical model for predicting individuals' knowledge of mining was produced. The second focus was to apply theoretical foundations to educational and community engagement efforts. Different theories are required for different groups of people depending on the level that mining plays a role in those peoples' lives. In all, how the mining industry communicates with the public needs to be improved, and the work proposed here will steer these improvements.
TWEAT: Ternary Waste Envelope Assessment Tool

TWEAT is a graphical visualization software tool used to support activities at the Hanford Waste Vitrification Project. It requires the user to input the chemical composition of streams that will be mixed to produce glass, along with the property limits that the glass must meet. Using built-in property models, TWEAT then displays on a ternary diagram an ``acceptable composition region`` and a ``qualified composition region`` where glass can be produced. The ``qualified composition region`` is the most restrictive area. It meets all specified property limits and does not extrapolate any property models.
Web-based Army Repeatable Lesson in Operational Combat (WARLOC)

Abstract : The current generation of junior officers have spent the last ten years continuously deployed with tactical units focused on stability operations for both training and execution. This has led to a significant degradation in Major Combat Operations (MCO) planning and execution abilities at both the tactical and especially the operational-level. Faced with an unclear operating environment and a population of experienced combat vets, the senior military leaders must determine the training direction of the armed services. In a fiscally-constrained environment, web-based learning games can assist in rapidly bridging the gap between the familiar and unfamiliar at a lower cost and at increased adoption rates versus large simulations. This thesis describes the designing and development process of an original web-based wargame that familiarizes junior field-grade and senior company-grade officers on MCO operations at the joint level. The end state was the production of a completed paper wargame and a VASSAL module which adapted the paper version into an electronic form. Lastly, using HTML5, Javascript and mainly free-to-use tools, we created a prototype wargame that only requires a web browser for service members to play.
Yoghurt Consumption is Associated With Transient Changes in the Composition of the Human Gut Microbiome

Background: Yoghurt contains live bacteria that could contribute via modulation of the gut microbiota to its reported beneficial effects such as reduced body weight gain and lower incidence of type 2 diabetes. To date, the association between yoghurt consumption and the composition of the gut microbiota is underexplored. Here we used clinical variables, metabolomics, 16S rRNA and shotgun metagenomic sequencing data collected on over 1000 predominantly female UK twins to define the link between the gut microbiota and yoghurt-associated health benefits. Results: According to food frequency questionnaires (FFQ), 73% of subjects consumed yoghurt. Consumers presented a healthier diet pattern (healthy eating index: beta = 2.17±0.34; P = 2.72x10-10) and improved metabolic health characterised by reduced visceral fat (beta = -28.18±11.71 g; P = 0.01). According to 16S rRNA gene analyses and whole shotgun metagenomic sequencing approach consistent taxonomic variations were observed with yoghurt consumption. More specifically, we identified higher abundance of species used as yoghurt starters Streptococcus thermophilus (beta = 0.41±0.051; P = 6.14x10-12) and sometimes added Bifidobacterium animalis subsp. lactis (beta = 0.30±0.052; P = 1.49x10-8) in the gut of yoghurt consumers. Replication in 1103 volunteers from the LifeLines-DEEP cohort confirmed the increase of S. thermophilus among yoghurt consumers. Using food records collected the day prior to faecal sampling we showed that increase in these two yoghurt bacteria could be transient. Metabolomics analysis revealed that B. animalis subsp. lactis was associated with 13 faecal metabolites including a 3-hydroxyoctanoic acid, known to be involved in the regulation of gut inflammation.Conclusions: Yoghurt consumption is associated with reduced visceral fat mass and changes in gut microbiome including transient increase of yoghurt-contained species (i.e. S. thermophilus and B. lactis).
THE FORMATION OF HYDROGELS BASED ON CHITOSAN AND ITS WATER-SOLUBLE
DERIVATIVES

This review considers articles on the formation of hydrogels based on chitosan as well as succinylated and quaternized chitosan derivatives. They are synthesized using low toxicity reagents, under ordinary conditions (low production costs). Chitosan derivatives are soluble in an extended range of pH values and characterized by mucoadhesiveness, bioavailability and biodegradability, which extends the potential of their medical applications. One of the most important properties of chitosan and its derivatives is the ability to form hydrogels. Depending on the nature of the bonds that occur during formation, hydrogels are divided into chemically or physically crosslinked, or a mixture of the two. Chemically crosslinked gels have covalent bonds, while physically crosslinked gels are formed by noncovalent interactions, for example, ionic. Mixed hydrogels have both types of crosslinking.
How Young Can Our Design Partners Be

For this work-in-progress presentation, we report on our experiences working with young children as technology design partners. Our team from the Human-Computer Interaction Lab has extensive participatory design experience in working with 7-11 year old children. Here we describe our first year working with 4-6 year old children and the ways that we altered our methodologies to meet the unique needs of our younger design partners.
EVALUATING PIPE--CONCLUSION. PC PROGRAM SPEEDS NEW CRITERION FOR EVALUATING CORRODED PIPE

An improved method for evaluating the remaining strength of corroded pipe has been developed. The method is based on the original B31G method but reduces the method's inherent overconservatism. The modified criterion was developed on Project PR 3-805 sponsored by the American Gas Association's Corrosion Supervisory Committee. One of the most important results of the PR 3-805 project was the development of a personal-computer program, RSTRENG. The program facilitates the analysis of corroded areas via the effective-area method. The first of two articles (O&GJ, Vol. 88, No. 32, pp 56-59) outlined how the original criterion was developed and its shortcomings. This conclusion discusses the modified criterion and shows its application in a sample calculation using RSTRENG.
Design and realization of SAW pressure sensor using Aluminum Nitride

The goal of this thesis is the design of a surface acoustic wave (SAW) pressure sensor using Aluminium Nitride (AlN). Theoretical studies, realization, and characterization of the pressure sensor on different SAW structures are presented. The modeling of the sensor was performed using an equivalent circuit based on Mason model and Coupling-Of-Mode. The theoretical study, SAW parameters in different structures of AlN/SiO2/Si, AlN/Si, and AlN/Mo/Si are calculated and analyzed. From these analysis, the wave velocity as well as coupling factor could depend on the wave propagation medium. For each structure using AlN, we establish the range of thickness of AlN layer, in which there is a weak dependence of the wave velocity and coupling factor on the AlN layer thickness. The SAW devices should be designed, in particular for the choice of the thicknesses of the different layers, by taking into account the accuracy of the manufacturing process, to reduce dispersion effects on the sensors characteristics. Besides, we also performed the mechanical analysis of the membrane under pressure and we have deduced the pressure sensitivity. The effect of frequency variation due to temperature change in SAW device using AlN is given. For pressure measurement applications, we propose a method to reduce temperature change effects. Concerning the fabrication process, we propose to use surface micro-machining. This kind of fabrication process allows to obtain exactly the dimensions of membranes used in pressure sensors and it also allows to have any kind of geometry due to the silicon etch stop wall. Characterizations of AlN film are done during fabrication process. We found that to increase the piezoelectric behavior of AlN, there are three possible ways: using a bottom Mo layer, decreasing the roughness of the layer below the AlN layer up to 0.2nm and increasing the thickness of AlN. Acoustic propagation losses, coupling factor, effect of Mo layer and the effect of thin polyimide film on the center frequency are experimentally analyzed. Finally, the measured pressure sensitivity of our device is presented. This last result is promising.
Mapping and Assessment of Ecosystems Services under the Proposed MAES European Common Framework: Methodological Challenges and Opportunities

The EU Biodiversity Strategy for 2020 was a driving force behind spatially explicit quantifications of Ecosystem Services (ES) in Europe. In Portugal, the MAES initiative (ptMAES–Mapping and Assessment of Ecosystem and their Services) was conducted in 2014 to address Target 2 (Action 5) of the Strategy, namely mapping and assessing ecosystems, ecosystems’ condition (EC), and ES. In this study covering the NUTS II Alentejo region, EC was assessed and mapped based on four indicators (soil organic matter, plant and bird diversity, and ecological value of plant communities) and five ES were assessed and mapped (soil protection, carbon sequestration, and fiber/crop/livestock production). Assessments were performed under a multi-tiered approach, ranging from spatialization of statistical data to analytical modeling, based on the most detailed land-use/land-cover cartography available. In this paper, we detail the methodological and analytical framework applied in ptMAES and present its main outcomes. Our goal is to (1) discuss the main methodological challenges encountered to inform future MAES initiatives in Portugal and other member states; and (2) further explore the outcomes of ptMAES by looking into spatial relationships between EC and ES supply. We highlight the advantages of the proposed analytical framework and identify constraints that, among others, limited the number of ES and EC indicators analyzed. We also show that MAES can provide useful insights to landscape planning at the regional scale, for instance, red-flagging areas where ES supply may be unsustainable over time.
Indirect Current Control of Utility Interactive Inverter for Seamless Transfer

Distributed generation (DG) systems go to intentional islanding operation to back up private emergency loads when the main grid is out of electric power. Conventional utility interactive inverters normally operated in current control mode in DG system must change their operation mode into voltage control mode to ensure stable voltage source to the emergency loads when intentional islanding operation occurs. During the transfer between current control mode and voltage control mode, serious transient problem may occur on the output terminal voltage of the utility interactive inverter. This paper proposes reasonal inverter topology and its control algorithm for seamless transfer of DG systems in intentional islanding operation. Filter design guide line and data for a LCL filter that is appropriate for the proposed control algorithm are also presented by the authors.
Re-inventing (with wheels, wings and sails) - A New Look at Transport Accident Investigator Training

Since 1977, Cranfield University has run air accident investigator training in collaboration with the Air Accidents Investigation Branch. In 2003, following an approach by the Marine Accident Investigation Branch and with the imminent establishment of the Rail Accident Investigation Branch, an opportunity arose to redefine accident investigation training. Recognising that training investigators from different modes was a significant change to an established programme, the fundamentals of investigation were researched and a syllabus put together that drew upon the key strengths and experiences of the three domains. Investigators were challenged to go beyond their comfort zone and consider the science of investigation from a number of different perspectives. Strong consideration was given to how investigator competencies could be assessed and a research programme was initiated to verify this. This was particularly important, as the Rail Accident Investigation Branch was to go from zero to full capacity without the opportunity for on-the-job training that other established agencies enjoy. This paper describes the process of syllabus development and training design, along with the lessons learned in running the first programme in May 2004. It considers the advantages and disadvantages of training investigators from different modes together.