Miracle-dz/UniFAR-FTUs huggingface dataset:
Recommendations to improve the efficiency of drying processes in power transformer

Water is a byproduct of ageing reactions in cellulosic insulation. During the life of a transformer water content in paper increases from levels below 0.5% in weight after manufacturing, to levels of 6% in weight at the end of transformer life. High humidity levels may also be found in not so old transformers, for example in those that have been submitted to repairs in field.
Sparse F-IncSFA for action recognition

High dimensional input streams and unsupervised learning are two important factors in the area of humanoids and processes of the actions and movements of human. Our Fast Incremental Slow Feature Analysis (F-IncSFA) can learn and extract the few significant features of the complex sensory input sequences regarding high-level spatio-temporal conceptions. In this paper, the application of the F-IncSFA and some of its structure to make a hierarchical compound network made of F-IncSFA has been described. Also the techniques developed by adding efficient sparse coding as an encoder and a preprocessing step before an application of the F-IncSFA. The efficient sparse coding can dramatically reduces the dimension of extracted features and outcome of the efficient sparse coding are quite small as compared with the size of high-dimension video obtained by humanoid or human action. It has revealed excellent and promising dimension reduction by this preprocessor.
Exploring the Selection of the Optimal Web Service Composition through Ant Colony Optimization

This paper presents an ant-inspired method for selecting the optimal or a near optimal solution in semantic Web service composition. The proposed method adapts and enhances the Ant Colony Optimization meta-heuristic and considers as selection criteria the QoS attributes of the services involved in the composition as well as the semantic similarity between them. To improve the performance of the proposed selection method a 1-OPT heuristic is defined which expands the search space in a controlled way so as to avoid the stagnation on local optimal solutions. The ant-inspired selection method has been evaluated on a set of scenarios having different complexities and comparatively analyzed with a cuckoo-inspired and a bee-inspired selection method.
Trichomonas vaginalis, Genetic Variation, and Pathogenicity: a Systematic Review

 Abstract - Trichomoniasis is a sexually transmitted infection that has been associated with acquired immunodeficiency syndrome and cervical cancer. The objective of the present study was to conduct a systematic review of the literature to identify the genetic variations of Trichomonas vaginalis and their correlations with the vaginal environment in the human host. Two electronic databases, PubMed and the Virtual Health Library ( Biblioteca Virtual de Saúde ), were searched using Medical Subject Headings (MeSH) and Health Sciences Descriptors (DeCS), respectively. The terms “ T. vaginalis and genetic variation ” and “ T. vaginalis and oxidative stress ” were searched to identify relevant original articles. The inclusion and exclusion criteria established took into consideration the specific characteristics of each article, thus guaranteeing the quality of the papers selected (the first and second tests of relevance). Two principal types of population structure of T. vaginalis were reported in the papers: type 1 and type 2. Type 1 parasites were associated with pathogenicity, as shown by findings of increased viral loads in human immunodeficiency virus (HIV)-positive women.
Fst soft decision decoding based on error weights

This paper proposes a fast soft decision decoding algorithm for binary linear block code. Based on error weights, decoding complexity is significantly reduced at the expense of about 0.1 to 0.5 dB coding again inferior to that of maximum likelihood decoding at block error rate of 10-5. And in terms of test patterns, decoding complexity is reduced to 20% on average, compared to that of Chase-II algorithm with d _min-1 tested positions
Ecophysiological and morphological variations in mosquitoes of the Culex pipiens complex ( Diptera : Culicidae ) *

Mosquitoes of the Culex pipiens Linné, 1758 complex are distributed all over the world, and are of great medical and veterinary importance. They are active bloodsuckers primarily in urban environments, and serve as vectors of various pathogens infecting man and/or animals. This complex is characterized by a high ecological plasticity, and intricate taxonomic structure. The complex includes C. pipiens pipiens (anautogenous pipiens and autogenous molestus Forskĺ l, 1775 forms), C. p. quinquefasciatus Say, 1823, C. p. pallens Coquerell, 1898, C. p. australicus Dobrotworsky et Drummond, 1933, C. torrentium Martini, 1924 and C. vagans Wiedeman, 1828. The taxonomic status of some members of the complex is under debate. The peculiarity of the C. pipiens complex is that there are significant ecophysiological differences between its members, which are relatively morphologically similar. The main taxonomic characters vary. Typological and geographical variations are reflected in the male genital index DV/D. Habitat, geographical, combinative and modificative variations are reflected in the siphonal index of larvae. The degree of morphological divergence between the members was estimated using discriminant analysis. Ecophysiological differences include autogeny, stenogamy or eurygamy, reproductive diapause, and the ecological requirements of the larvae. Some of the morphological features (mean siphonal index) correlate with the ecophysiological ones, such as autogeny, stenogamy, or habitat attachment. In the temperate zone there are three mechanisms, which are result in reprodctive isolation between sympatrically 7coexisting molestus and pipiens forms: the habitat specialization of larvae, the pattern of diapause inheritance (the F1 hybrids cannot diapause and are doomed to die in winter), and differences in mating behaviour. Ecophysiological variation, morphological variation, Culex pipiens complex, Diptera, Culicidae
Dynamic hand gesture recognition using Kinect

In dynamic hand gesture recognition, the separation of hand part from the surroundings and locating the exact position of the hand has always been one of the major problems. In this paper we propose a simple and fast method to capture the trajectory of the moving hand and compare it with the trajectories corresponding to different gestures in the database to recognize the gesture performed using Dynamic Time Warping. For this process, a device called Kinect by Microsoft is used to provide depth map using infrared sensor for the hand part separation from the surrounding. The experimental results show that the method proposed succeeds in locating the position of the hand in each frame. Implementation of this process was done using MATLAB.
Preliminary specifications and operations of a networking model for a virtual radio frequency laboratory

Virtual laboratory experiments for the electronics course in the program of Electrical Engineering students at University of Mexico (UNAM) has been developed employing data acquisition (DAQ) systems, LabVIEW™ Instrumentation software. These applications will be very attractive once they become connected to Internet so that it will be feasible to exchange information between students and teachers with ongoing experiments in real time. Up to now the Engineering laboratories in public Universities in Mexico were lacking good equipment due to the increasing cost of laoratory instruments. This problem has a cost-effective alternative solution with the integration of a virtual LabVIEW laboratories containing instruments which provide an economic solution compared to the cost of traditional instruments. The mentioned applications are currently used at UNAM to perform laboratory experiments in the field of Electronics and Radio frequency at the School of Engineering, FI. The learning process based on computer software is being adopted in an important way to improve the teaching - learning process. In the forthcoming years, the exposed model and the advances in Internet might be merged to support the development of educative digital systems to encourage long distance learning, as well as the operation of remote laboratories. The laboratory explained here is under construction at this moment, therefore the operation results are preliminary as well as the specifications of the system being implemented at UNAM.
Glutamate Dehydrogenase of Tobacco Is Mainly Induced in the Cytosol of Phloem Companion Cells When Ammonia Is Provided Either Externally or Released during Photorespiration

Glutamate (Glu) dehydrogenase (GDH) catalyses the reversible amination of 2-oxoglutarate for the synthesis of Glu using ammonium as a substrate. This enzyme preferentially occurs in the mitochondria of companion cells of a number of plant species grown on nitrate as the sole nitrogen source. For a better understanding of the controversial role of GDH either in ammonium assimilation or in the supply of 2-oxoglutarate (F. Dubois, T. Tercé-Laforgue, M.B. Gonzalez-Moro, M.B. Estavillo, R. Sangwan, A. Gallais, B. Hirel [2003] Plant Physiol Biochem 41: 565–576), we studied the localization of GDH in untransformed tobacco (Nicotiana tabacum) plants grown either on low nitrate or on ammonium and in ferredoxin-dependent Glu synthase antisense plants. Production of GDH and its activity were strongly induced when plants were grown on ammonium as the sole nitrogen source. The induction mainly occurred in highly vascularized organs such as stems and midribs and was likely to be due to accumulation of phloem-translocated ammonium in the sap. GDH induction occurred when ammonia was applied externally to untransformed control plants or resulted from photorespiratory activity in transgenic plants down-regulated for ferredoxin-dependent Glu synthase. GDH was increased in the mitochondria and appeared in the cytosol of companion cells. Taken together, our results suggest that the enzyme plays a dual role in companion cells, either in the mitochondria when mineral nitrogen availability is low or in the cytosol when ammonium concentration increases above a certain threshold.
Design and simulation of quasi-Z-source grid-connected PV inverter with bidirectional power flow for battery storage management

In a small to medium scale PV inverter system, energy storage functionality such as battery is significant to ensure the obtained energy is efficiently stored, used and delivered to the load. As for the grid-connected system, having a bidirectional power flow in the system is an advantage in case the power from the PV array is insufficient to fulfill the demand from the load. The grid power can also be used to charge the battery storage in case the energy stored is at the critical level and cannot be recovered immediately due to low/zero level of sun irradiation. In relation to this, the quasi-Z-source inverter (qZSI) topology, apart from other well known advantages for DC-DC-AC conversion, offers a flexible ways on how the battery storage can be added to the system. In this paper a new way of connection and control method for battery storage is proposed which can be attach to the system easily with minimal modification. It also realizes a bidirectional charging capability from the grid where its use can be extended for example in vehicle charging station. Apart from that, the paper also study on use of PV emulator which can be an alternative to realize the PV source behavior. The system configuration and design is detailed and simulation results demonstrate the system works according to the requirement.
The Problem of the Criterion

2 — What is the problem, then? It is the ancient problem of “the diallelus”—the problem of “the wheel” or “the vicious circle. ” It was put very neatly by Montaigne in his Essays. So let us begin by paraphrasing his formulation of the puzzle. To know whether things really are as they seem to be, we must have a procedure for distinguishing appearances that are true from appearances that are false. But to know whether our procedure is a good procedure, we have to know whether it really succeeds in distinguishing appearances that are true from appearances that are false. And we cannot know whether it does really succeed unless we already know which appearances are true and which ones are false. And so we are caught in a circle. Let us try to see how one gets into a situation of this sort. The puzzles begin to form when you ask yourself, “What can I really know about the world? ” We are all acquainted with people who think they know a lot more than in fact they do know. I’m thinking of fanatics, bigots, mystics, various types of dogmatists. And we have all heard of people who claim at least to know a lot less than what in fact they do know. I’m thinking of those people who call themselves “skeptics” and who like to say that people cannot know what the world is really like. People tend to become skeptics, temporarily, after reading books on popular science: the authors tell us we cannot know what things are like really (but they make use of a vast amount of knowledge, or a vast amount of what is claimed to be knowledge, to support this skeptical conclusion). And as we know, people tend to become dogmatists, temporarily, as a result of the effects of alcohol, or drugs, or religious and emotional experiences. Then they claim to have an inside view of the world and they think they have a deep kind of knowledge giving them a key to the entire workings of the universe.
Analysis of the indoor positioning performance of a switched six-beams dodecahedral antenna

In this paper we present the performance analysis of a switched six-beams dodecahedral antenna designed for indoor target localization. The localization technique is based on the estimation of the direction of arrival and makes use of the signal strenghts readings by each antenna beams. The analysis adoptes an indoor channel model by which we studied the localization accuracy varying the multipath parameters and the SNR of the radio link. The analysis has shown the impact on the localization accuracy of the mutual interaction between these two factors, and that to achieve an absolute error less than 1 m in the the 90% percentage of the area, a SNR=10 dB and Γ =. 1 is required.
FPGA and ASIC convergence

The growing demands on multimedia applications and high-speed high-quality telecommunication systems with real-time constrains oriented to portable, low power consumption, devices, have being driven technologies development, methodologies and design flows of embedded systems during the last years. Through the analysis of design methodologies and strategies facing multi-core, reconfigurability and power consumption challenges, this educational survey will follow that evolution approaching ASIC and FPGA architectures on the embedded systems arena.
Adaptive Control of a Gyroscopically Stabilized Pendulum and Its Application to a Single-Wheel Pendulum Robot

This paper presents an adaptive decoupling control strategy for a gyroscopically stabilized pendulum. In the proposed model, the gyro moment acts directly on the pivot of the pendulum, the magnitude of which is restricted by gyroscopic precession. A decoupling algorithm based on virtual control is proposed to regulate the upright posture of the pendulum through gyroscopic precession. Virtual control is considered a control torque that acts on the pivot of the pendulum; it forms nonlinear mapping along with the precession command. Consequently, gyroscopic precession matches the stability condition of the pendulum well. In the control design, an adaptive disturbance estimation method based on a smooth saturation function is proposed to avoid the adverse effects of parametric uncertainties, mechanical vibrations, and system nonlinearities. Accurate estimation of unstructured disturbances is easily achieved by adaptively tuning the weight coefficient of the saturation function. The results of stability analysis, simulations, and experiments show the validity of the proposed pendulum model and adaptive decoupling control scheme.
Treatment of odor from natural rubber by using selected antimicrobial agent

In this study, aerobic microorganisms isolated from rubber plantation area and known to be involved in rubber odor production were identified. These isolates were used in a study to determine the best antimicrobial agent to inhibit their growth and finally help in eliminating rubber odor. Three antimicrobial agents of different concentration including Sodium hypochlorite, Chloroxylenol and Formaldehyde as well as HISKA® (the coagulant and density enhancer for rubber latex) were used for screening the bactericidal properties by Kirby-Bauer disc diffusion test. It was shown that the pattern of inhibition zone varied according to the microorganism tested and the antimicrobial agent used. From the results, 1.0% Sodium hypochlorite and 1.0% Formaldehyde showed the potential as odor eliminator and could be applied in rubber plantation factory in order to inhibit the growth of microbes during the storing of natural rubber before processing. The SPME/GC-MS analysis supported the results that Sodium hypochlorite and Formaldehyde possess the ability to inhibit the growth of microbes and furthermore will reduce the odor without affecting the physical properties of rubber.
Nonlinear Spectrotemporal Sound Analysis by Neurons in the Auditory Midbrain

The auditory system of humans and animals must process information from sounds that dynamically vary along multiple stimulus dimensions, including time, frequency, and intensity. Therefore, to understand neuronal mechanisms underlying acoustic processing in the central auditory pathway, it is essential to characterize how spectral and temporal acoustic dimensions are jointly processed by the brain. We use acoustic signals with a structurally rich time-varying spectrum to study linear and nonlinear spectrotemporal interactions in the central nucleus of the inferior colliculus (ICC). Our stimuli, the dynamic moving ripple (DMR) and ripple noise (RN), allow us to systematically characterize response attributes with the spectrotemporal receptive field (STRF) methods to a rich and dynamic stimulus ensemble. Theoretically, we expect that STRFs derived with DMR and RN would be identical for a linear integrating neuron, and we find that ∼60% of ICC neurons meet this basic requirement. We find that the remaining neurons are distinctly nonlinear; these could either respond selectively to DMR or produce no STRFs despite selective activation to spectrotemporal acoustic attributes. Our findings delineate rules for spectrotemporal integration in the ICC that cannot be accounted for by conventional linear–energy integration models.
Numerical analysis of tight focusing and scattering of Singular Beams

Singular beams have recently been employed for metrological applications requiring nanoscale sensitivity. The achievable sensitivity depends on the numerical aperture of the involved optical system. While high numerical aperture provides more information about the investigated object, it introduces a number of difficulties when a rigorous analysis of the optical system is required. In this work we discuss three principle parts of numerical analysis of such systems: focusing, scattering and far-field propagation. For the focusing part a tight focusing of wavefronts with piecewise quasi constant phase is presented. For the scattering part the advantages and disadvantages of various methods (like FEM, FDTD, etc.) are discussed. For the far field propagation part issues related to the specifics of investigated problem are outlined.
A Novel and Robust Approach for Common Mode Feedback Using IDDG FinFET

In this paper, we propose a novel and robust approach for common mode feedback (CMFB) for a differential amplifier using independently driven double gate (IDDG) FinFET technology. The performance of a differential amplifier with and without the proposed CMFB scheme is compared using 2-D mixed mode device and circuit simulations. It is shown from extensive simulation results that it is possible to achieve a common mode rejection ratio of 90 dB with improved performance in terms of area, power, and bandwidth even in the presence of process variations. Stability analysis shows that the proposed CMFB scheme does not need any compensating network. The idea is validated using extensive mixed-mode circuit simulations on IDDG FinFET circuits in sub-45-nm node technologies.
Lifestyle-related Office-related Game Home Work

Fine-grained long-term forecasting enables many emerging recommendation applications such as forecasting the usage amounts of various apps to guide future investments, and forecasting users’ seasonal demands for a certain commodity to find potential repeat buyers. For these applications, there often exists certain homogeneity in terms of similar users and items (e.g., apps), which also correlates with various contexts like users’ spatial movements and physical environments. Most existing works only focus on predicting the upcoming situation such as the next used app or next online purchase, without considering the long-term temporal co-evolution of items and contexts and the homogeneity among all dimensions. In this paper, we propose a contextual collaborative forecasting (CCF) model to address the above issues. The model integrates contextual collaborative filtering with time series analysis, and simultaneously captures various components of temporal patterns, including trend, seasonality, and stationarity. The approach models the temporal homogeneity of similar users, items, and contexts. We evaluate the model on a large real-world app usage dataset, which validates that CCF outperforms state-of-the-art methods in terms of both accuracy and efficiency for long-term app usage forecasting.
Poster : Evading Web Malware Classifiers using Genetic Programming

Malware classifiers based on machine learning models have become increasingly popular. These classifiers use a combination of structural and dynamic features to detect malware in various domains, including PDF, binaries, and web pages. We propose to use genetic programming techniques to automatically generate variants of malicious web pages that evade state-ofthe-art classifiers. Our method builds on the approach Xu et al. (NDSS 2016) developed for successfully evading PDF classifiers. Adapting this method to web page classifiers poses additional challenges because of the dynamic and hybrid strategies used by those classifiers and the complex structure of web pages.