Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic modeling and control of a hexacopter using PID and back stepping controllers

A HexaRotor UAV is a class of helicopter, more specifically of multi-rotors. The Hexarotor has several characteristics (vertical takeoff and landing, hovering capacities) that give more operational advantages over other types of UAVs. But the Hexarotor has highly nonlinear dynamics, coupled and underactuated which makes it impossible to operate without a feedback controller action. In this work, a detailed mathematical model of the Hexrotor has been presented. With the help of Newtons Euler method the nonlinear mathematical model of the hexacopter was formulated; by including rotor dynamics and aerodynamic effects the model was formulated in detail. In order to control the attitude and altitude of the hexarotor in space, two control schemes were proposed i.e, PID and BACK STEPPING Controllers. For evaluating and comparing the performance of both proposed control techniques in the aspect of stability, the effect of possible disturbances and dynamic performances, experiments were done in the Simulink environment.
Hybrid sensor and information fusion to enhance signal classification of a multi receiving system

The areas of application of wireless communication is increasing rapidly with the developments in IOT and the successful implementation of wireless technologies in medical, military and industrial applications. There are numerous challenges to be addressed like limited availability of the radio frequency spectrum, an increase in requirement of better quality transmission, transmission problems such as multi path fading, inter channel interference etc. This study is to investigate how information fusion of same signals from multiple receivers improves on the accuracy of reception when compared to reception by a single receiver. We will focus on the use of hybrid sensor and information fusion to improve signal reception for a Multi Receiving digital communication System using Bi-linear Time-Frequency Analysis for parameter extraction, in a multi-path fading environment. Performance of classifiers is evaluated by comparing their performance at different SNRs. The classification accuracy of receivers will be different as each receiver has different propagation characteristics. Different types and levels of information fusion are compared and the most suitable method for this application is selected. This method aims at combining the signal at sensor level and decision level thus making it a novel hybrid method of multi sensor information fusion.
Consolidated caching with cache splitting and trans-rating in mobile edge computing networks

The contribution of video content in mobile data traffic is predicted to increase over the coming years. If the network is not managed efficiently, this huge amount of data will increase the congestion in the cellular network. Caching at the edge of the cellular network is one of the prominent solutions to mitigate this issue. By deploying Mobile Edge Computing (MEC) at eNodeB (eNB), distributed edge caching can be realized in the cellular network. In this work, we propose a consolidated caching scheme with cache splitting and trans-rating in MEC network. Cache consolidation uses the collaborative capability of MEC servers to avoid replication of videos in the MEC cache network thus increasing the caching capacity. Without replication, access delay may increase. To maintain low access delay, we split the cache storage into two logical parts; full video cache, and initial video cache. Full video cache stores the complete videos without any replication in the MEC cache network and initial video cache stores only initial segments of the videos. Initial segments of the videos are replicated in the cache network to reduce the access delay. Extensive simulations results show improvement in initial access delay, cache hit ratio, and external traffic load compared to the existing solutions.
Power control for coordinated NOMA downlink with cell-edge users

Non-orthogonal multiple access (NOMA) is an effective means to improve the spectral efficiency of a wireless communication system. When applied to cellular networks, cell edge users may suffer from low bit rate, or the associated base stations may need to use excessively high power to serve those users. In order to alleviate the problem, this paper considers the integration of NOMA with coordinated transmission techniques. A two-cell system is considered, in which there are two users near their associated base stations and a cell edge user served by both base stations. It is assumed that each user has a data rate requirement, and the system objective is to minimize the total transmit power. With a formal problem formulation, the feasibility of the problem is characterized by using Helly's theorem. When the problem is feasible, we design both centralized and distributed algorithms to solve it. Numerical results show that NOMA can significantly outperform an orthogonal multiple access scheme in terms of power consumption and outage probability.
On Hypothesis Testing Against Conditional Independence With Multiple Decision Centers

A distributed binary hypothesis testing problem is studied with one observer and two decision centers. Achievable type-II error exponents are derived for testing against conditional independence when the observer communicates with the two decision centers over one common and two individual noise-free bit pipes and when it communicates with them over a noisy broadcast channel. The results are based on a coding and testing scheme that splits the observations into subblocks, so that transmitter and receivers can independently apply to each subblock either Gray-Wyner coordination coding with side-information or hybrid joint source-channel coding with side-information, followed by a Neyman-Pearson test over the subblocks at the receivers. This approach allows to avoid introducing further error exponents that one would expect from the receivers’ decoding operations related to binning or the noisy transmission channel. The derived exponents are shown to be optimal in some special cases when communication is over noise-free links. The results reveal a tradeoff between the type-II error exponents at the two decision centers.
Some sociological implications of environmental hazards: A Case Study

To explore sociological implications of environmental hazards arising due to industrial pollution on industrial workers during their work in the environment they work and also to find out whether it affects their social and other associated behaviors in an industrial organization. The study is based on exploratory cum descriptive study design and the cross-sectional data. The analytical sample consists of 500 workers from all three stratified categories- skilled, semi-skilled and unskilled and using univariate analysis method the data has been analyzed. We found that industrial workers are clearly showing their concerns arising due to environ-mental hazards at their work place and they indicate several implications because of situation in which they work. Majority of sampled workers were found in favour to enhance the level of knowledge of awareness regarding environmental hazards and repercussions.
Fragility Curves for Wide-Flange Steel Columns and Implications for Building-Specific Earthquake-Induced Loss Assessment

Building-specific loss assessment methodologies use component fragility curves to compute expected losses in the aftermath of earthquakes. Such curves are not available for steel columns assuming they remain elastic because of capacity design considerations. Nonetheless, first-story steel columns in moment-resisting frames (MRFs) are expected to experience damage through flexural yielding and formation of geometric instabilities. This paper uses an experimental database that was recently assembled to develop two sets of univariate drift-based column fragility curves that consider the influence of loading history. Ordinal logistic regression is also employed to develop multivariate fragility curves that capture geometric and loading parameters that affect column performance. The implications of the proposed fragility curves for building-specific loss assessment are demonstrated using an eight-story office building with steel MRFs. It is shown that structural repair costs in this case may increase by 10%, regardless of seismic intensity, when column damage is considered. Similarly, the contribution of structural component repairs to expected annual losses may double over the building's life span.
A desktop study of the ecology of the African Quailfinch Ortygospiza atricollis in southern Africa

In conclusion, the present study provided valuable information on the breeding biology of the African Quailfinch. It demonstrated that the various citizen science databases possess a wealth of information which may improve our knowledge of secretive and poorly known species. This, in turn, can serve as a baseline for the design of field-based studies or provide basic knowledge to inform biodiversity management decisions.
Analiza warunków wiatrowych na przykładzie masztu pomiarowego Grapice (województwo pomorskie)

W ostatnich latach można zauważyć intensywny wzrost zainteresowania energetyką wiatrową. Tendencja wzrostu mocy zainstalowanej siłowni wiatrowych w Polsce w ostatnich latach przedstawia się następująco (w MW): 2005 rok – 83,280, 2006 rok – 152,560, 2007 rok – 287,909, 2008 rok – 451,090, 2009 rok – 724,657, 2010 rok – 1180,272, 2011 rok – 1616,361, 2012 rok – 2496,748, 2013 rok – 3389,541, 2014 rok – 3833,832, 2015 rok – 3951,260 (Urząd Regulacji Energetyki, 2015). Istotnym elementem przy tak intensywnym wzroście zainteresowania energetyką wiatrową staje się wykonanie bardzo dokładnych pomiarów wiatru oraz znalezienie optymalnej lokalizacji dla planowanych farm wiatrowych. Szczegółowa analiza potencjalnej lokalizacji wymusza zastosowanie zaawansowanych narzędzi przy projektowaniu farm wiatrowych, na przykład oprogramowania dla energetyki wiatrowej WindPRO. Takie oprogramowanie pozwala za szczegółową analizę danych wejściowych, które obejmują dane wiatrowe z masztu pomiarowego, numeryczny model terenu oraz jego szorstkość, szczegółowe mapy lotnicze oraz mapy topografi czne. Dopiero dokładne zdefi niowanie danych wejściowych pozwala na przeprowadzenie szeregu obliczeń oraz przedstawienie koncepcji najbardziej optymalnego układu planowanych siłowni wiatrowych dla danego Przegląd Naukowy – Inżynieria i Kształtowanie Środowiska nr 70, 2015: 391–399 (Prz. Nauk. Inż. Kszt. Środ. 70, 2015) Scientifi c Review – Engineering and Environmental Sciences No 70, 2015: 391–399 (Sci. Rev. Eng. Env. Sci. 70, 2015)
Os Homens são mais Racionais do que as Mulheres na Compra de Carros? Uma Comparação de Influências Culturais no Julgamento de Produto entre Brasil e Estados Unidos da América

Este estudo tem por finalidade identificar e comparar o tipo de julgamento utilizado no Brasil e nos Estados Unidos da América em relação à compra de automóveis, bem como a relevância dos Valores Humanos na avaliação. Brasileiros (n=542) e Norte-americanos (N=449) responderam a dois instrumentos, a escala LOV (List of Values) (KAHLE; KENNEDY, 1988) e a escala de Julgamento e Significado (ALLEN, 1997, 2000). Os resultados sugerem que no Brasil o julgamento para a compra de automóveis é predominantemente afetiva, enquanto nos Estados Unidos é predominantemente passo a passo. Em ambos os países, as mulheres obtiveram escores mais altos no julgamento passo a passo para a compra do carro. Os valores de “Excitação” e “Ser Bem Respeitado’ estão relacionados com o julgamento afetivo em ambos os países, enquanto “Realização Pessoal” está relacionado com o julgamento passo a passo no Brasil e nos Estados Unidos. Esta pesquisa contribui para o avanço dos estudos de comportamento do consumidor, analisando o papel dos valores humanos no tipo de julgamento e significado que homens e mulheres usam para comprar carros no Brasil e nos EUA. Além disso, como implicações práticas, os resultados podem ajudar os gestores da indústria automobilística em seus processos de tomada de decisão, a fim de entender melhor o cliente, e para atender suas necessidades específicas, com vistas a desenvolver um relacionamento de longo prazo e rentável.
Entrepreneurship as Experimentation

Entrepreneurship research is on the rise but many questions about its fundamental nature still exist. We argue that entrepreneurship is about experimentation: the probabilities of success are low, extremely skewed and unknowable until an investment is made. At a macro level experimentation by new firms underlies the Schumpeterian notion of creative destruction. However, at a micro level investment and continuation decisions are not always made in a competitive Darwinian contest. Instead, a few investors make decisions that are impacted by incentive, agency and coordination problems, often before a new idea even has a chance to compete in a market. We contend that costs and constraints on the ability to experiment alter the type of organizational form surrounding innovation and influence when innovation is more likely to occur. These factors not only govern how much experimentation is undertaken in the economy, but also the trajectory of experimentation, with potentially very deep economic consequences.
Zum Abstraktionsgrad von Resultativkonstruktionen

Das in diesem Beitrag vorgeschlagene Netzwerk aus Resultativkonstruktionen unterschiedlichen Abstraktionsgrades vereinigt die Vorteile von Goldbergs (1995, 2006) und Boas' (2003a, 2005a) Analysen. So konnen sowohl die beim Dekodieren relevanten abstrakt-schematischen Konstruktionsinformationen als auch die beim Kodieren wichtigen lexikalisch-spezifizierten Konstruktionsinformationen uber semantische, pragmatische, und syntaktische Restriktionen auf der Ebene von Ereignis-Frames in einem einheitlichen Netzwerk erfasst und analysiert werden. Diese einheitliche Analyse bietet zwei entscheidene Vorteile. Erstens vereinfacht die Beschreibung der Distribution von Konstruktionen auf primar semantisch-pragmatischer Ebene die kontrastive Analyse von gleichartigen Konstruktionen in unterschiedlichen Sprachen. Zweitens erfullt die hier vorgeschlagene Methode auch die in neueren Veroffentlichungen zu Parallelen der Valenzgrammatik und Konstruktionsgrammatik gemachten Vorschlage, unterschiedliche Abstraktionsgrade von Konstruktionen zu berucksichtigen. Ich danke Hans Ulrich Boas, Marc Pierce, Guido Halder, Martin Hilpert, Wolfgang Imo, Klaus Welke, Gert Webelhuth, Alexander Ziem und den Herausgebern fur ihre Kommentare und Anregungen.
Recycling of neutron stars in common envelopes and hypernova explosions

In this paper, we propose a new plausible mechanism of supernova explosions specific to close binary systems. The starting point is the common envelope phase in the evolution of a binary consisting of a red supergiant and a neutron star. As the neutron star spirals towards the centre of its companion it spins up via disc accretion. Depending on the specific angular momentum of the gas captured by the neutron star via the Bondi-Hoyle mechanism, it may reach millisecond periods either when it is still inside the common envelope or after it has merged with the companion core. The high accretion rate may result in the strong differential rotation of the neutron star and generation of the magnetar-strength magnetic field. The magnetar wind can blow away the common envelope if its magnetic field is as strong as 10 15 G and can destroy the entire companion if it is as strong as 10 16 G. The total explosion energy can be comparable to the rotational energy of a millisecond pulsar and reach 10 52 erg. However, only a small amount of 56 Ni is expected to be produced this way. The result is an unusual Type II supernova with very high luminosity during the plateau phase, followed by a sharp drop in brightness and a steep light-curve tail. The remnant is either a solitary magnetar or a close binary involving a Wolf-Rayet star and a magnetar. When this Wolf-Rayet star explodes, it will be a third supernova explosion in the same binary.
Stem/Stromal Cells for Treatment of Kidney Injuries With Focus on Preclinical Models

Within the last years, the use of stem cells (embryonic, induced pluripotent stem cells, or hematopoietic stem cells), Progenitor cells (e.g., endothelial progenitor cells), and most intensely mesenchymal stromal cells (MSC) has emerged as a promising cell-based therapy for several diseases including nephropathy. For patients with end-stage renal disease (ESRD), dialysis or finally organ transplantation are the only therapeutic modalities available. Since ESRD is associated with a high healthcare expenditure, MSC therapy represents an innovative approach. In a variety of preclinical and clinical studies, MSC have shown to exert renoprotective properties, mediated mainly by paracrine effects, immunomodulation, regulation of inflammation, secretion of several trophic factors, and possibly differentiation to renal precursors. However, studies are highly diverse; thus, knowledge is still limited regarding the exact mode of action, source of MSC in comparison to other stem cell types, administration route and dose, tracking of cells and documentation of therapeutic efficacy by new imaging techniques and tissue visualization. The aim of this review is to provide a summary of published studies of stem cell therapy in acute and chronic kidney injury, diabetic nephropathy, polycystic kidney disease, and kidney transplantation. Preclinical studies with allogeneic or xenogeneic cell therapy were first addressed, followed by a summary of clinical trials carried out with autologous or allogeneic hMSC. Studies were analyzed with respect to source of cell type, mechanism of action etc.
Translations as Additional Contexts for Sentence Classification

In sentence classification tasks, additional contexts, such as the neighboring sentences, may improve the accuracy of the classifier. However, such contexts are domain-dependent and thus cannot be used for another classification task with an inappropriate domain. In contrast, we propose the use of translated sentences as domain-free context that is always available regardless of the domain. We find that naive feature expansion of translations gains only marginal improvements and may decrease the performance of the classifier, due to possible inaccurate translations thus producing noisy sentence vectors. To this end, we present multiple context fixing attachment (MCFA), a series of modules attached to multiple sentence vectors to fix the noise in the vectors using the other sentence vectors as context. We show that our method performs competitively compared to previous models, achieving best classification performance on multiple data sets. We are the first to use translations as domain-free contexts for sentence classification.
Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System

The rapid expansion in the usage of social media networking sites leads to a huge amount of unprocessed user generated data which can be used for text mining. Author profiling is the problem of automatically determining profiling aspects like the author's gender and age group through a text is gaining much popularity in computational linguistics. Most of the past research in author profiling is concentrated on English texts \cite{1,2}. However many users often change the language while posting on social media which is called code-mixing, and it develops some challenges in the field of text classification and author profiling like variations in spelling, non-grammatical structure and transliteration \cite{3}. There are very few English-Hindi code-mixed annotated datasets of social media content present online \cite{4}. In this paper, we analyze the task of author's gender prediction in code-mixed content and present a corpus of English-Hindi texts collected from Twitter which is annotated with author's gender. We also explore language identification of every word in this corpus. We present a supervised classification baseline system which uses various machine learning algorithms to identify the gender of an author using a text, based on character and word level features.
Mycoplasma pneumoniae: A Potentially Severe Infection

Mycoplasma pneumoniae infections remain one of the most common etiologies of community-acquired pneumonia (CAP). The clinical presentation and manifestations vary widely and can affect all organs of the body. Diagnosis is challenging because there are no constant findings in physical exams or laboratory or radiological assessments that indicate Mycoplasma pneumoniae pneumonia, and specific diagnostic tools are not readily available. Extrapulmonary manifestations and severe pulmonary manifestations can lead to long-term sequelae. The increasing emergence of Mycoplasma pneumoniae that is resistant to macrolides in some areas of the world and increased world travel could add to the difficulty of controlling and treating Mycoplasma pneumoniae infections. We present a concise and up-to-date review of the current knowledge of Mycoplasma pneumoniae pneumonia.
Incident detection on SIEM events

In this thesis, we focus on designing a pipeline with a set of classifiers that will be able to classify a sequence of SIEM logs to flag incidental behavior. Additionally, we tackle a problem of imbalanced learning as the used dataset does not contain many incidents compared to the total size. The pipeline’s input will be a sequence of SIEM events, and the result will be an alert type if any. Lastly, it contains the performance of presented designs along with evaluation and an optimal method how to classify input sequences.
Autonomous Exploration and Mapping with RFS Occupancy-Grid SLAM

This short note addresses the problem of autonomous on-line path-panning for exploration and occupancy-grid mapping using a mobile robot. The underlying algorithm for simultaneous localisation and mapping (SLAM) is based on random-finite set (RFS) modelling of ranging sensor measurements, implemented as a Rao-Blackwellised particle filter. Path-planning in general must trade-off between exploration (which reduces the uncertainty in the map) and exploitation (which reduces the uncertainty in the robot pose). In this note we propose a reward function based on the Rényi divergence between the prior and the posterior densities, with RFS modelling of sensor measurements. This approach results in a joint map-pose uncertainty measure without a need to scale and tune their weights.
Weighted integration of short term memory and sensory signals in the oculomotor system

Oculomotor behaviors integrate sensory and prior information to overcome sensory-motor delays and noise. After much debate about this process, reliability-based integration has recently been proposed and several models of smooth pursuit now include recurrent Bayesian integration or Kalman filtering. However, there is a lack of behavioral evidence supporting these theoretical predictions. Here, we independently manipulated the reliability of visual and prior information in a smooth pursuit task. Our results show that both smooth pursuit eye velocity and catch-up saccade amplitude were modulated by visual and prior information reliability. We interpret these findings as the continuous reliability-based integration of a short-term memory of target motion with visual information, which support modelling work. Furthermore, we suggest that saccadic and pursuit systems share this short-term memory. We propose that this short-term memory of target motion is quickly built and continuously updated, and constitutes a general building-block present in all sensorimotor systems.