Miracle-dz/UniFAR-FTUs huggingface dataset:
Fusion of visual and audio features for person identification in real video

In this research, we studied the joint use of visual and audio information for the problem of identifying persons in real video. A person identification system, which is able to identify characters in TV shows by the fusion of audio and visual information, is constructed based on two different fusion strategies. In the first strategy, speaker identification is used to verify the face recognition result. The second strategy consists of using face recognition and tracking to supplement speaker identification results. To evaluate our system's performance, an information database was generated by manually labeling the speaker and the main person's face in every I-frame of a video segment of the TV show 'Seinfeld'. By comparing the output form our system with our information database, we evaluated the performance of each of the analysis channels and their fusion. The results show that while the first fusion strategy is suitable for applications where precision is much more critical than recall. The second fusion strategy, on the other hand, generates the best overall identification performance. It outperforms either of the analysis channels greatly in both precision an recall and is applicable to more general applications, such as, in our case, to identify persons in TV programs.
A system-level approach for the design of smart sensor interfaces

This paper presents a system-level approach for the design of universal smart-sensor interfaces. The benefits and drawbacks of existing interfaces are reviewed and compared. Next, a strategy has been developed for the design of a new universal sensor interface (USI). Finally, the results of this work have been applied at a system and device level for the implementation of the interface chip, which has been implemented in 0.5 /spl mu/m CMOS technology. The USI is a multifunctional smart sensor interface chip with 16 modes for a wide range of sensor types.
P o S ( M P C S 2 0 1 5 ) 0 1 6 Atmospheres and radiating surfaces of neutron stars with strong magnetic fields

Alexander Y. Potekhin ∗,abcd Wynn C. G. Ho, e Gilles Chabrier d f aIoffe Institute, Politekhnicheskaya 26, Saint Petersburg , 194021, Russia bSt Petersburg Polytechnic University, Politeknicheskaya 29, Saint Petersburg, 195251, Russia cCentral Astronomical Observatory at Pulkovo, Pulkovskoe S hosse 65, Saint Petersburg, 196140, Russia dCentre de Recherche Astrophysique de Lyon, Université de Ly on, Université Lyon 1, Observatoire de Lyon, Ecole Normale Supérieure de Lyon, CNR S, UMR 5574, 46 allée d’Italie, 69364, Lyon Cedex 07, France eMathematical Sciences, Physics & Astronomy, and STAG Resea rch Centre, University of Southampton, Southampton, SO17 1BJ, UK f School of Physics, University of Exeter, Exeter, EX4 4QL, UK E-mail: palex@astro.ioffe. ru,wynnho@slac.stanford. edu, gilles.chabrier@ens-lyon.fr
2 Comparing GMD to Senses in KaWaC 2

In this paper we will discuss the integration of corpus analysis into the dictionary making process for Georgian language. In general, corpus-based lexicography is not a common practice in lexicography in Georgia. This paper presents the first attempt to introduce the corpus-based dictionary wordlist, entries and examples from the Georgian web-corpus – KaWaC. This is a large web corpus of modern Georgian language covering recent 10-15 years of the language development. It contains a wide range of text types, topics and regions from the Internet, excluding translations and poetry on the assumption that the language of translation and poetry deviates from the naturally produced language, as the corpus aims to represent naturally occurring Modern Georgian language. Within this research we have defined the dictionary wordlist – 10,000 lemmas from the corpus that is a core vocabulary for the Georgian language, compiled the dictionary entries and extracted dictionary examples from the corpus.
Passivity-preserving parameterized model order reduction for PEEC based full wave analysis

We present a novel parameterized model order reduction technique applicable to the Partial Element Equivalent Circuit method that is able to generate parametric reduced order models, stable and passive by construction, over a user defined design space. Overall stability and passivity of the parametric reduced order model are guaranteed by an efficient and reliable combination of traditional passivity-preserving model order reduction methods and interpolation schemes based on a class of positive interpolation operators. A pertinent numerical example validates the proposed parameterized model order reduction approach.
REAL TIME AUTOMATED DIAGNOSIS OF INSULATING SYSTEM EMPLOYNG ULTRASOUND INSPECTION

A methodology was developed and applied to the inspection of insulating systems such as insulators using ultrasound equipment to automate the decision whether the inspected device is in operational condition or not. The audible noise in the output of the ultrasound equipment is fed to a notebook PC which obtains FFT of this noise. The FFT signature of the noise is used to classify the inspected device, in real-time, allowing for quick and precise inspection procedure, as shown by the obtained results.
Single mode and single polarization operation of photonic crystal fibres

Finite element based full vectorial modal solution approach has been developed to determine effective index of space filling mode, cutoff of fundamental and second order guided modes, identifying single mode operation of photonic crystal fibers. Structural asymmetry has also been introduced to maximize the modal birefringence to design polarization maintaining photonic crystal fibers at 1.55 mum.
NON-LINEAR COUPLED SLOSH DYNAMICS OF LIQUID STORAGE TANKS USING BE-FE COUPLING

An analysis program for the base isolated liquid storage tank was developed considering non-linear fluidstructure interaction in this study. The behavior of a fluid region is simulated by the boundary element method and the analysis scheme of the free surface motion in time domain is developed by using the nonlinear free surface boundary condition(NFBC). In order to construct the governing equation of the whole system, finite elements for a structure and boundary elements for a fluid region are coupled using the equilibrium and compatibility conditions and NFBC. The isolator is simulated by equation proposed in 3D Basis Me.
D B ] 3 J an 2 01 8 Graph Pattern Matching for Dynamic Team Formation

Finding a list of k teams of experts, referred to as top-k team formation, with the required skills and high collaboration compatibility has been extensively studied. However, existing methods have not considered the specific collaboration relationships among different team members, i.e., structural constraints, which are typically needed in practice. In this study, we first propose a novel graph pattern matching approach for top-k team formation, which incorporates both structural constraints and capacity bounds. Second, we formulate and study the dynamic top-k team formation problem due to the growing need of a dynamic environment. Third, we develop an unified incremental approach, together with an optimization technique, to handle continuous pattern and data updates, separately and simultaneously, which has not been explored before. Finally, using real-life and synthetic data, we conduct an extensive experimental study to show the effectiveness and efficiency of our graph pattern matching approach for (dynamic) top-k team formation.
mouseFocus : Graph Query Autocompletion at User ’ s Cursor

Composing queries is evidently a tedious task. This is particularly true of graph queries as they are typically complex and prone to errors, compounded by the fact that graph schemas can be missing or too loose to be helpful for query formulation. Automatic query completion, graph query autocompletion has received increasing research attention to alleviates users from the potentially painstaking task of graph query formulation. In this demonstration, we present a novel interactive user-focus based visual subgraph query autocompletion framework. Given a large collection of small or medium-sized graphs and a visual query fragment q constructed by a user, we return top-k query suggestions at the predicted user focus. We demonstrate that user focus exists in visual subgraph query formulation and is effective to enhance query autocompletion.
Ultrastructural and Biochemical Alterations Induced by 22,26-Azasterol, a Δ24(25)-Sterol Methyltransferase Inhibitor, on Promastigote and Amastigote Forms of Leishmania amazonensis

ABSTRACT We report on the antiproliferative effects and the ultrastructural and biochemical alterations induced in vitro by 22,26-azasterol, a sterol Δ24(25)-methyltransferase (24-SMT) inhibitor, on Leishmania amazonensis. When promastigotes and amastigotes were exposed to 100 nM 22,26-azasterol, complete growth arrest and cell lysis ensued after 72 (promastigotes) or 120 (amastigotes) h. Exposure of parasites to this azasterol led to the complete depletion of parasite endogenous sterols (episterol and 5-dehydroepisterol) and their replacement by 24-desalkyl sterols (zymosterol, cholesta-5,7,24-trien-3β-ol, and cholesta-7,24-dien-3β-ol), while 14-methyl-zymosterol and 4,14-dimethyl-zymosterol accumulated as a result of simultaneous incubation of the parasites with 22,26-azasterol and ketoconazole, a known inhibitor of the parasite’s sterol C14-demethylase. These results confirmed that 24-SMT is the primary site of action of the azasterol. Profound changes were also observed in the phospholipid compositions of treated cells, in which a twofold reduction in the content of phosphatidylserine was observed; this was accompanied by a concomitant increase in the content of phosphatidylinositol. Transmission electron microscopy showed that 22,26-azasterol induced marked morphological changes, including mitochondrial swelling, invaginations of the inner mitochondrial membrane, and the appearance of large bodies containing concentric membranes. Other modifications included increases in the numbers of acidocalcisomes, megasomes, and lipid inclusions and the appearance of typical autophagic structures and cell body protrusions toward the flagellar pocket. We conclude that the dramatic alteration of the lipid composition of the parasite’s membranes induced by the drug underlies the ultrastructural alterations that lead to the loss of cell viability and that 24-SMT inhibitors could be useful as selective antileishmanial agents.
Posterior Regularization Framework : Learning Tractable Models with Intractable Constraints

Unsupervised Learning of probabilistic structured models presents a fundamental tradeoff between richness of captured constraints and correlations versus efficiency and tractability of inference. In this thesis, we propose a new learning framework called Posterior Regularization (PR) that incorporates side-information into unsupervised estimation in the form of constraints on the model’s posteriors. The underlying model remains unchanged, but the learning method changes. During learning, our method is similar to the EM algorithm, but we solve a problem similar to Maximum Entropy inside the E-Step to enforce the constraints. We apply the PR framework to two different large scale tasks: Statistical Word Alignments and Unsupervised Part of Speech Induction. In the former, we incorporate two constraints: bijectivity and symmetry. Training using these constraints produces a significant boost in performance as measured by both precision and recall against manually annotated alignments for six language pairs. In the latter we enforce sparsity on the word tag distribution which is overestimated using the default training method. Experiments on six languages achieve dramatic improvements over state-of-the-art results.
Impact of climate change on potential distribution of xero-epiphytic selaginellas (Selaginella involvens and S. Repanda) in southeast Asia

Setyawan AD, Supriatna J, Darnaedi D, Rokhmatuloh, Sutarno, Sugiyarto, Nursamsi I, Komala WR, Pradan P. 2017. Impact of climate change on potential distribution of xero-epiphytic selaginellas (Selaginella involvens and S. repanda) in Southeast Asia. Biodiversitas 18: 1680-1695. Climate change is one of the greatest challenges for all life on earth, as it may become the dominant driver of changes in ecosystem services and biodiversity loss at the global level. Selaginella is a group of spike-mosses that seem easily affected by global warming (climate change) due to requiring water medium for fertilization. However, some species have been adapted to dry condition and may grow as epiphytes, such as S. involvens and S. repanda. Both species are commonly found in opposing a range of elevation. S. involvens is often found in high-altitude regions, whereas S. repanda is often found at lower-altitude regions. The difference in this altitudinal distributions is expected to limit redistribution mechanism of each species to adapt the climate change projections. This study model examines the potential geographic distribution of S. involvens and S. repanda under current climatic conditions and models the impact of projected climate change on their potential distribution. Future climate predictions are made with four detailed bioclimatic scenarios (i.e. RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5) and three-time intervals (2030, 2050, 2080), which combine various climatic factors. In this modeling, it can be concluded that S. involvens and S. repanda can adapt to future climate change, and continue to be sustainable, although it is strongly influenced and shifting habitat distribution in some areas.
Online Learning a High-Quality Dictionary and Classifier Jointly for Multitask Object Tracking

This article formulates object tracking in a particle filter framework as a binary classification problem. The method effectively exploits a priori information from training data to learn online a compact and discriminative dictionary. The method incorporates the class label information into the dictionary learning process as the classification error term and idea coding regularization term, respectively. Combined with the traditional reconstruction error, a total objective function for dictionary learning is constructed. By minimizing the total object function, the approach jointly obtains a high-quality dictionary and optimal linear classifier. Combined with multitask sparse coding, the best candidate is selected by jointly evaluating the reconstructive error and classification error. As the tracking continues, the proposed algorithm alternates between multitask sparse coding and dictionary updating. Experimental evaluations on challenging video sequences show that the proposed algorithm performs favorably against state-of-the-art methods in terms of effectiveness, accuracy, and robustness.
Nordic Laser Materials Processing Conference , Nolamp 15 , 25-27 August 2015 , Lappeenranta , Finland Hybrid Laser Arc Welding of X 80 Steel : Influence of Welding Speed and Preheating on the Microstructure and Mechanical Properties

This study investigates the influence of hybrid laser-arc welding parameters on the microstructure and mechanical properties of the weld: namely, influence of welding speed and preheating temperature on the cooling rates, microstructure and hardness. In order to achieve the maximum productivity, optimum welding speed for the hybrid laser-arc welding X80 steel of 14 mm thickness with and without preheating was defined. © 2015 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Lappeenranta University of Technology (LUT).
Identifying Hearing Loss from Learned Speech Kernels

Does a hearing-impaired individual’s speech reflect his hearing loss? To investigate this question, we recorded at least four hours of speech data from each of 29 adult individuals, both male and female, belonging to four classes: 3 normal, and 26 severely-to-profoundly hearing impaired with high, medium or low speech intelligibility. Acoustic kernels were learned for each individual by capturing the distribution of his speech data points represented as 20 ms duration windows. These kernels were evaluated using a set of neurophysiological metrics, namely, distribution of characteristic frequencies, equal loudness contour, bandwidth andQ10 value of tuning curve. It turns out that, for our cohort, a feature vector can be constructed out of four properties of these metrics that would accurately classify hearing-impaired individuals with low intelligible speech from normal ones using a linear classifier. However, the overlap in the feature space between normal and hearing-impaired individuals increases as the speech becomes more intelligible. We conclude that a hearing-impaired individual’s speech does reflect his hearing loss provided his loss of hearing has considerably affected the intelligibility of his speech.
Efficient Post-Processing Module for a Chaos-based Random Bit Generator

In this paper we propose an efficient low-hardware complexity post-processing module for a feedback-corrected chaos-based True Random Bit Generator (TRBG) with high Average Shannon Entropy (ASE). The design of the postprocessing module was based both on the theoretical analysis of the information generation mechanism of the considered source and on numerical simulations. A prototype of the module was tested on an implementation of the TRBG with an actual ASE slightly lower than 1 bit/time step, obtaining random sequences that fully pass all the well-known statistical tests of the Diehard suite.
Contribution of LTCC technology to the miniaturization of six-port networks

The six-port network has been identified in recent years as one of the best candidates to implement a Software Defined Radio (SDR). The main characteristic of the six-port architecture is its extremely large bandwidth, which involves multi-band and multi-mode capabilities. However, broadband six-port network designs lead to large size circuits. New technologies must be explored in order to achieve compact size and low-cost productions for configurable radio terminals. In this paper, the LTCC (Low Temperature Co-fired Ceramic) technology is proposed for implementing a six-port receiver. In the first place, we have developed an LTCC 90-degree hybrid coupler, which is the most critical component of the six-port network. Measurement results show a good performance over the frequency range from 1.5 to 6.5 GHz.
Learning Transferable Cooperative Behavior in Multi-Agent Teams

While multi-agent interactions can be naturally modeled as a graph, the environment has traditionally been considered as a black box. We propose to create a shared agent-entity graph, where agents and environmental entities form vertices, and edges exist between the vertices which can communicate with each other. Agents learn to cooperate by exchanging messages along the edges of this graph. Our proposed multi-agent reinforcement learning framework is invariant to the number of agents or entities present in the system as well as permutation invariance, both of which are desirable properties for any multi-agent system representation. We present state-of-the-art results on coverage, formation and line control tasks for multi-agent teams in a fully decentralized framework and further show that the learned policies quickly transfer to scenarios with different team sizes along with strong zero-shot generalization performance. This is an important step towards developing multi-agent teams which can be realistically deployed in the real world without assuming complete prior knowledge or instantaneous communication at unbounded distances.
A SIMPLE PLL FOR MORE ELECTRIC AIRCRAFT GRIDS BASED ON CINEMATIC MODEL

In the new standard of electrical power grids for commercial aviation, the previous usual frequency of 400 Hz is changed to variable frequencies in the range of 360 to 800 Hz, with a slew rate up to 500 Hz/s. This standard follows the trend of More Electric Aircraft, whose main goal is to replace pneumatic and hydraulic loads to electrical types, resulting in a decrease of fuel consumption due mass reduction. Those modifications increase power consumption and thus create new unwanted problems of power quality, requiring additional equipments dubbed electric power converters to minimize those effects. This paper proposes a simple phase-locked loop using a Luenberger observer to measure the frequency and the synchronization angle of a variable frequency power grid to be used in an electric power converter. Keywords— More Electric Aircraft (MEA), Phase-Locked Loop (PLL), Luenberger Observer Resumo— O novo padrão de rede elétrica para aviação comercial substitiu a antiga rede de frequência fixa em 400 Hz por uma de frequência variável entre 360 e 800 Hz, com uma variação que pode alcançar 500 Hz/s. Este padrão segue a tendência de substituição das cargas pneumáticas e hidráulicas por elétricas, diminuindo o consumo de combustı́vel devido à redução na massa da aeronave. Porém, o aumento associado do consumo de energia elétrica introduz a necessidade de novos equipamentos para mitigar os efeitos indesejados na qualidade da energia. Esses dispositivos são conhecidos como condicionadores de energia elétrica e necessitam de sincronismo com a rede elétrica em que trabalham. Este trabalho propõem uma malha de captura de fase simples baseado no observador de Luenberger para medir a frequência e a fase do sinal de tensão desse novo padrão de rede para uso em condicionadores de energia elétrica. Palavras-chave— Rede Elétrica Aeronáutica, Malha de Captura de Fase, Observador de Luenberger
The capsid protein p 38 of turnip crinkle virus is associated with the suppression of cucumber mosaic virus in Arabidopsis thaliana co-infected with cucumber mosaic virus and turnip crinkle viru s

Infection of plants by multiple viruses is common in nature. Cucumber mosaic virus (CMV) and Turnip crinkle virus (TCV) belong to different families, but Arabidopsis thaliana and Nicotiana benthamiana are commonly shared hosts for both viruses. In this study, we found that TCV provides effective resistance to infection by CMV in Arabidopsis plants co-infected by both viruses, and this antagonistic effect is much weaker when the two viruses are inoculated into different leaves of the same plant. However, similar antagonism is not observed in N. benthamiana plants. We further demonstrate that disrupting the RNA silencing-mediated defense of the Arabidopsis host does not affect this antagonism, but capsid protein (CP or p38)-defective mutant TCV loses the ability to repress CMV, suggesting that TCV CP plays an important role in the antagonistic effect of TCV toward CMV in Arabidopsis plants co-infected with both