Miracle-dz/UniFAR-FTUs huggingface dataset:
Decoupled Inverter Fed - Open end Winding Induction Motor Drive for Three Level Voltage SPWM Strategy

An open-end winding induction motor, fed by two 2-level inverters connected at either end produces space vector locations, identical to those of a conventional 3-level inverter. In this paper, two switching algorithms are proposed to implement space vector PWM for the dual inverter scheme. The proposed algorithms do not employ any look-up tables. The time consuming task of sector identification is altogether avoided in both these algorithms. The proposed algorithms employ only the instantaneous reference phase voltages for the implementation of the space vector PWM. An equal switching duty for both the inverters is also ensured with one of the proposed PWM strategies. Also, it is observed that the speed torque and voltages in motor phases is significantly reduced with the proposed PWM strategies.
Recent advances in residual stress simulation caused by the welding process

The purpose of the present paper is to improve the description of residual stress field characteristics generated after welding. The behavior of the material both in the liquidand solid states and during all heating and cooling stages including the solidification in the mushy zone is considered, as well as the surface tension effects in the liquid phase.Simulations are conducted on the finite element software SYSWELD®. A displacement/pressure mixed formulation, based on the linear tetrahedral element of type P1/P1 in the context of elasto-viscoplastic formulation, is used. As regards the structure behaviour,thecontinuous transition between the liquid and the solid phases during the welding is ensured using a mixture law behavior. Numerical simulations were carried out in the context of Lagrangian approach. In this approach the material over the liquidus temperature is modelled as a Newtonian fluid but the flows in the weld pool are not accounted for.Concerning surface tension modelling,the standard method usually adoptedis to apply an externalloadon the freesurface of the weld pool. In the present study, a surfacespherical stress state is directly imposed on the surface in membrane elements incorporated in the meshand representing the interface.Since tetrahedral mesh is easily adapted to complex geometry, a discretization of type P1/P1 is used in the case of welding simulation. It shows the relevance of such tetrahedral finite element for the mechanical analysis of elasto-viscoplastic solid metal.A representative simulation of a laser welding case is processed. The material considered in H. Sallem, E.Feulvarch, H.Amin El Sayed, B.Souloumiac, J-B Leblond, J-M Bergheau this study is the Inconel 600 alloy. Computed residual stress distribution revealsthe ability of such approaches topredictresidual stress states in assessing the integrity of welded components.
The influence of leadership on creativity: A systematic review of experimental studies

markdownabstract__Abstract__ Various studies argue that leaders can stimulate the creativity of their followers. However, many of these studies rely on survey or case studies methods, which generally suffer from endogeneity threats, such as reverse causality or omitted variables. In order to provide robust evidence on the cause-and-effect relationship of leadership on creativity, this paper systematically reviews the published experimental studies available on this topic. Findings show that – contrary to expectation – we did not an unequivocal positive influence of general leadership styles such as transformational leadership. On the other hand, leadership strategies such as letting followers participate (related to empowering leadership) and increasing self-efficacy of followers (related to authentic leadership) did increase creativity across various studies. Furthermore, when leaders set creativity goals, this can positively influence creativity. Based upon the review, future research directions are suggested.
Polluted and Sustainable Growth Paths

The contribution of this paper is to extend turnpike versions of optimal growth to include pollution. We introduce a pollution abatement technology which has the characteristics of a constant rate of progress toward pollution reduction. The requirements on this rate of advance in order to assure a consumption happy future are derived. Two major economic policy conclusions are drawn. Key-words. Economic Growth, Technology, Pollution Abatement, Sustainability.
An analysis of ResearchGate and Academia. edu as socio-technical systems for scholars’ networked learning: a multilevel framework proposal

Academic social network sites (ASNS) like ResearchGate and Academia.edu are digitalplatforms for information sharing and systems for open dissemination of scholarly practices that are gainingmomentum among researchers of multiple disciplines. Although ASNS are increasingly transformingscholarly practices and academic identity, a unifying theoretical approach that analyses these platforms atboth a systemic/infrastructural and at a personal/individual level is missing. Moreover, despite there is anincreasing amount of studies on social media benefits for scholarly networking and knowledge sharing, veryfew studies have investigated specific benefits of ResearchGate and Academia.edu for scholars’ professionaldevelopment according to a networked learning perspective. This study focuses on academic social networksites as networked socio-technical systems and adopts a three-level analysis related to ASNS as platformsfor digital scholarship and scholarly communication. The approach comprises: 1) a macro-level, whichconstitutes the socio-economic layer; 2) a meso-level, which comprises the techno-cultural layer; and 3)a micro-level, which constitutes the networked-scholar layer. The study reports on investigations into thetechnological features provided by ResearchGate and Academia.edu for networked learning that are basedon the multilevel approach. The final aim is to exemplify how these digital services are socio-technicalsystems that support scholars’ knowledge sharing and professional learning.
Evaluation of Educational Software for Marine Training with the Aid of Neuroscience Methods and Tools

The evaluation, with the use of neuroscience methods, of a student’s satisfaction – happiness from using the e-learning system (e-learning platforms, e-games, simulators) poses an important research subject matter. In the present project, research on a course conducted in the Faculty of Merchants Officers, Marine Academy of Aspropyrgos is presented. In particular in this research, a neuroscience tool-gaze trucker is used to investigate the amount of satisfaction of the students by using a simulator to monitor the users’ eye movement in combination with the use of qualitative and quantitative methods.
Frequent Itemset Mining for Big Data Using Greatest Common Divisor Technique

The discovery of frequent itemsets is one of the very important topics in data mining. Frequent itemset discovery techniques help in generating qualitative knowledge which gives business insight and helps the decision makers. In the Big Data era the need for a customizable algorithm to work with big data sets in a reasonable time becomes a necessity. In this paper we propose a new algorithm for frequent itemset discovery that could work in distributed manner with big datasets. Our approach is based on the original Buddy Prima algorithm and the Greatest Common Divisor (GCD) calculation between itemsets which exist in the transaction database. The proposed algorithm introduces a new method to parallelize the frequent itemset mining without the need to generate candidate itemsets and also it avoids any communication overhead between the participated nodes. It explores the parallelism abilities in the hardware in case of single node operation. The proposed approach could be implemented using map-reduce technique or Spark. It was successfully applied on different size transactions DBs and compared with two well-known algorithms: FP-Growth and Parallel Apriori with different support levels. The experiments showed that the proposed algorithm achieves major time improvement over both algorithms especially with datasets having huge number of items.
— DRAFT March 20 , 2005 — Grounding Language in the World : Schema Theory Meets Semiotics

A theoretical framework for grounding language is introduced that provides a computational path from sensing and motor action to words and speech acts. The approach combines concepts from semiotics and schema theory to develop a holistic approach to linguistic meaning. Schemas serve as structured beliefs that are grounded in an agent’s physical environment through a causal-predictive cycle of action and perception. Speech acts are interpreted in terms of grounded schemas. The theory reflects lessons learned from implementations of several language processing robots and provides a framework for the design of situated, physically-embedded natural language processing systems, and for various other multimedia and crossmodal processing systems that straddle symbolic and non-symbolic realms.
Central Asian Dust Experiment (CADEX): Multiwavelength Polarization Raman Lidar Observations in Tajikistan

For the first time lidar measurements of vertical aerosol profiles are conducted in Tajikistan/Central Asia. These measurements just started on March 17th , 2015. They are performed within the Central Asian Dust Experiment (CADEX) in Dushanbe and they will last at least one year. The deployed system for these observations is an updated version of the multiwavelength polarization Raman lidar PollyXT . Vertical profiles of the backscatter coefficient, the extinction coefficient, and the particle depolarization ratio are measured by this instrument. A first and preliminary measurement example of an aerosol layer over Dushanbe is shown.
Long slender drops in a simple shear flow

We study theoretically the slow viscous motion of a long slender drop placed in a simple shear flow, the drop having a low viscosity compared with that of the suspending fluid. As a simplifying approximation, the cross-section of the drop is taken to be circular. An equilibrium shape with the drop nearly aligned with the flow is found for all shear rates, although the equilibrium is only stable to small disturbances for shear rates below some critical value. The stable equilibria just below the critical shear rate are found to be accessible only if the shear rate is increased slowly.
The genetic basis and evolution of acoustic mate recognition signals in a Ribautodelphax planthopper (Homoptera, Delphacidae) 1. The female call

Both sexes of the planthopper Rihautodeiphax imitans produce species specific acoustic signals. Earlier experiments have shown that isolation between Ribautodelphax species in captivity is at least partly due to male preference for calls of conspecific females. The genetic basis of the female call is studied by bi-directional artificial selection for large and small inter-pulse intervals (IPI). This resulted in non-overlapping distributions of IPI after only five generations. The mean of eight realized heritability estimates over five generations was above 80%; estimates over ten generations were generally well above 50%. The character is shown to be of a polygenic nature, determined by at least 6 segregating genetic factors. The other features of the female call, strophe duration, and modulation of pulse repetition frequency within the strophe, showed significantly correlated responses. Sexual isolation tests after 10 generations of selection revealed significant symmetrical assortative mating, but coselected males did not exhibit a significant preference for playback calls of females from their own selection line. In view of the high heritability for the call character, and the considerable ecological isolation among Ribautodelphax species, it seems unlikely that the female call differentiated as an adaptation to prevent hybridization (reinforcement). More likely, call and call preference were shaped by sexual selection during allopatry, and may have (had) incidentally an effect in species isolation.
MAC Layer Protocols for Cognitive Radio Networks

In the last few decades, the Cognitive Radio (CR) paradigm has received huge interest from industry and academia. CR is a promising approach to solve the spectrum scarcity problem. Moreover, various technical issues still need to be addressed for successful deployment of CRNs, especially in the MAC layer. In this chapter, a comprehensive survey of the Medium Access Control (MAC) approaches for CRN is presented. These MAC technologies under analysis include spectrum sharing, multiple antenna techniques, cooperation, relays, distributed systems, network convergence, mobility, and network selfoptimization. Moreover, various classifications of MAC protocols are explained in this chapter on the basis of some parameters, like signaling technique, type of architecture, sharing mode, access mode, and common control channel. Additionally, some case studies of 802.11, 802.22, and Mobile Virtual Node Operator (MVNO) are also considered for the case study. The main objective of this chapter is to assist CR designers and the CR application engineers to consider the MAC layer issues and factors in the early development stage of CRNs. DOI: 10.4018/978-1-4666-2812-0.ch008
Empirical Studies for the Assessment of the Effectiveness of Design Patterns in Migration between Software Architectures of Embedded Applications

Two main architectures used to develop software for modern embedded applications are “event triggered” (ET) and “time triggered” (TT). ET designs involve creating systems which handle multiple interrupts; by contrast, only one interrupt is ever enabled in a TT design, and this interrupt is usually linked to a timer “Tick. ” Although TT architectures are widely used in safety-related designs, they are less familiar to developers of mainstream embedded systems. The work on this research began from the premise that—for a broad class of systems—the use of a TT architecture would improve reliability. The overall goal of the work presented here was to identify ways in which the effort involved in migrating between existing ET architectures and “equivalent” TT architectures could be reduced. The specific goal of the research was to explore whether the use of an appropriate set of design patterns could assist developers who wished to migrate between ET and TT designs. An empirical evaluation of the efficacy of a newly proposed pattern collection is described in this paper. The results of these trials demonstrate that the proposed collection of patterns has the potential to support developers by helping them to take appropriate decisions during the migration process.
How ocean waves rock the Earth: Two mechanisms explain microseisms with periods 3 to 300 s

Microseismic activity, recorded everywhere on Earth, is largely due to ocean waves. Recent progress has clearly identified sources of microseisms in the most energetic band, with periods from 3 to 10 s. In contrast, the generation of longer‐period microseisms has been strongly debated. Two mechanisms have been proposed to explain seismic wave generation: a primary mechanism, by which ocean waves propagating over bottom slopes generate seismic waves, and a secondary mechanism which relies on the nonlinear interaction of ocean waves. Here we show that the primary mechanism explains the average power, frequency distribution, and most of the variability in signals recorded by vertical seismometers, for seismic periods ranging from 13 to 300 s. The secondary mechanism only explains seismic motions with periods shorter than 13 s. Our results build on a quantitative numerical model that gives access to time‐varying maps of seismic noise sources.
Domain Independent Feature Extraction using Rule Based Approach

A R T I C L E I N F O A B S T R A C T Article history: Received: 16 November, 2017 Accepted: 09 January, 2018 Online: 30 January, 2018 Sentiment analysis is one of the most popular information extraction tasks both from business and research prospective. From the standpoint of research, sentiment analysis relies on the methods developed for natural language processing and information extraction. One of the key aspects of it is the opinion word lexicon. Product’s feature from online reviews is an important and challenging task in opinion mining. Opinion Mining or Sentiment Analysis is a Natural Language Processing and Information Extraction task that identifies the user’s views or opinions. In this paper, we developed an approach to extract domain independent product features and opinions without using training examples i.e, lexicon-based approach. Noun phrases are extracted using not only dependency rules but also textblob noun phrase extraction tool. Dependency rules are predefined according to dependency patterns of words in the sentences. StandfordCoreNlp Dependency parser is used to identify the relations between words. The orientation of words is classified by using lexicon-based approach. According to the experimental results the system gets good performance in six different domains.
A new evaluation index system of the assessment of higher education in China

A new education index system is required in order to comprehensively improve the quality of higher education and achieve the training goal of applied talents. The education index system should be established by choosing the appropriate assessment methods. These methods could be selected by contrasting their advantages and disadvantages and analyzing the characteristics of various modules and teaching links. The evaluation index system can be effectively used to assess applied talents comprehensively and systematically. Establishing the evaluation index system is good for achieving the training goal, improving the quality of education and teaching, and enhancing the overall quality of students.
Strategies to increase the model gain in electrically pumped quantum dot based amplifiers integrated on a silicon-on-insulator waveguide circuit

We propose two waveguide structures that allow for high optical confinement in the active region, low loss and electrical injection using a regular P-I-N injection scheme. To achieve these properties, we use a bonded III-V film on a Silicon-On-Insulator circuit. By deeply etching the III-V film to define the waveguide and shallowly etching trenches in the top p-InP contact layer, we can push the mode towards the active layer and away from the lossy contact layers. These waveguide structures were developed for a quantum dot active region to relieve its low confinement factor and consequently reach a higher modal gain. Silicon-On-Insulator (SOI) is an excellent platform for the realization of passive optical functions. However, most optical functions require also active devices such as lasers and detectors. Due to silicon’s indirect band gap, creating active devices on silicon remains a challenge. One approach to circumvent this problem is the heterogeneous integration of III-V epitaxial layers on the SOI waveguide circuit. This can be done by adhesive dieto-wafer bonding with DVS-BCB as a bonding agent[1]. Several single mode lasers have been designed and fabricated using this approach[2]. Now we want to do the same for a mode-locked laser, as this would open up a whole new set of applications. The stable picosecond pulses which are generated by a mode-locked laser can for instance be used in telecommunications for time division multiplexing, or in optical signal processing for all-optical clock recovery. These classes of applications typically also require complex passive circuitry, which can be realized on the SOI platform. Early experimental results have shown that quantum dots (QDs) are ideal as gain material to achieve mode-locking, as they show both ultrafast carrier dynamics and a broad bandwidth[3], which are important for the creation of ultrashort pulses. Therefore, it would be appropriate to use a bonded quantum dot laser stack to create a mode-locked laser on SOI. This is not straightforward however. Although QDs are excellent for modelocking, they also pose stringent demands on the waveguide structure. In the following, we will look into the requirements for a QD gain section. Then the properties of the standard P-I-N laser structure will be discussed and two new waveguide structures will be proposed that meet the requirements set by the use of QDs.
Interparticle forces of powder particles and their coating process

Povrchova modifikace je proces, při kterem jemne castice v nano měřitku jsou spojovany k casticim praskoveho materialu. V průběhu celeho procesu povrchove modifikace je povrch praskoveho materialu pokryt nano casticemi a to je přicinou, že mohou být řizeny a předevsim změněny vlastnosti praskoveho materialu. Cela řada metod nanaseni povrchovou modifikaci je již ve světě použivana a realizuje se na komercně vyraběných přistrojich. Take existuje cela řada amaterských zařizeni pracujicich bez větsich znalosti povrchove modifikace v laboratornich podminkach. Hlavni výhoda povrchově modifikovaneho materialu je možnost změnit zakladni vlastnosti materialu-voděodolnost, vodivost, elektricke a elektronicke vlastnosti, reologicke vlastnosti, tekutost, magneticke vlastnosti apod. Pouze několik procent hmotnosti jemneho materialu v nano měřitku staci, aby mohly být vlastnosti praskoveho materialu změněny a řizeny. V přispěvku je prozkouman mechanismus modifikace vcetně působicich sil při modifikacnim procesu. Celý proces je popsan v ramci matematickeho modelovani a nasledně objasněn a vysvětlen na několika partikularnich systemech .
INTERNATIONAL ZOO YEARBOOK, Vol 46: New World Primates (2012) INVITED CONTRIBUTION UNDER REVISION PLEASE, DO NOT CIRCULATE Owl monkeys (Aotus spp) in nature and captivity

Owl monkeys have the potential to be a great model to accomplish a thorough integration of zoo and field research. The most salient features of owl monkeys are their nocturnal habits, monogamous social organization and intensive paternal care; features that should make them of interest to the public. Following a brief historical perspective on our knowledge of owl monkey biology, I describe in detail, drawing from research with both captive and wild animals, those aspects that make owl monkeys unusual among primates and mammals. First, owl monkeys are the only anthropoids with nocturnal habits and the study of their remarkable activity patterns has benefited enormously from an integrated approach that combined field research with research in semi-natural conditions and the laboratory. Secondly, up until recently, our understanding of social monogamy and the intensive involvement of the male in infant care , two defining features of the genus have been primarily informed by studies of captive individuals. In the future, a truly integrated lab-field approach that focuses on certain areas that cannot be examined in only one or the other setting (e.g. reproductive biology, communication, energetics) will offer unique opportunities for synergistic interactions between zoo and field research that will have both intellectual and practical benefits