Miracle-dz/UniFAR-FTUs huggingface dataset:
New multi-camera calibration algorithm based on 1D objects

A new calibration algorithm for multi-camera systems using 1D calibration objects is proposed. The algorithm integrates the rank-4 factorization with Zhang (2004)’s method. The intrinsic parameters as well as the extrinsic parameters are recovered by capturing with cameras the 1D object’s rotations around a fixed point. The algorithm is based on factorization of the scaled measurement matrix, the projective depth of which is estimated in an analytical equation instead of a recursive form. For more than three points on a 1D object, the approach of our algorithm is to extend the scale measurement matrix. The obtained parameters are finally refined through the maximum likelihood inference. Simulations and experiments with real images verify that the proposed technique achieves a good trade-off between the intrinsic and extrinsic camera parameters.
Analytic study of the effect of dark energy-dark matter interaction on the growth of structures

Large-scale structure has been shown as a promising cosmic probe for distinguishing and constraining dark energy models. Using the growth index parametrization, we obtain an analytic formula for the growth rate of structures in a coupled dark energy model in which the exchange of energy-momentum is proportional to the dark energy density. We find that the evolution of fσ8 can be determined analytically once we know the coupling, the dark energy equation of state, the present value of the dark energy density parameter and the current mean amplitude of dark matter fluctuations. After correcting the growth function for the correspondence with the velocity field through the continuity equation in the interacting model, we use our analytic result to compare the model's predictions with large-scale structure observations.
OBSERVER DESIGN BASED IN THE MATHEMATICAL MODEL OF A WIND TURBINE

As a result of increasing environmental concern, the impact of conventional electricity generation on the environment is being minimized and efforts are being made to generate electricity from renewable sources. One way of generating electricity from renewable sources is to use wind turbines that convert the energy contained in owing air into electricity. The major contributions of this paper are as follows: 1) The math- ematical model of a prototype of a wind turbine is presented. This mathematical model is obtained by using the Euler Lagrange method and the circuits theory. The data of a prototype are used for the simulations of the obtained model. The prototype is a windward wind turbine of three blades. 2) An observer to see the angular position of a blade and the angular velocity of a blade using the armature current in the wind turbine is proposed, and this observer is important because it is easy to have the measure of the third, but it is difficult to have the measure of therst and the second. 3) It is proven that the state error of the observer applied to the nonlinear model is exponentially stable. The stability of the proposed observer is based on the solution of the Lyapunov method.
Analysis of the Zero Relaxation Limit of Systems of Hyperbolic Conservation Laws with Random Initial Data

We show the convergence of the zero relaxation limit in systems of $2 \times 2$ hyperbolic conservation laws with stochastic initial data. Precisely, solutions converge to a solution of the local equilibrium approximation as the relaxation time tends to zero. The initial data are assumed to depend on finitely many random variables, and the convergence is then proved via the appropriate analogues of the compensated compactness methods used in treating the deterministic case. We also demonstrate the validity of this limit in the case of the semi-linear $p$-system; the well-posedness of both the system and its equilibrium approximation are proved, and the convergence is shown with no a priori conditions on solutions. This model serves as a prototype for understanding how asymptotic approximations can be used as control variates for hyperbolic balance laws with uncertainty.
Vargas Further investigation of the uncertain trend in U . S . GDP

The presence of deterministic or stochastic trend in U.S. GDP has been a continuing debate in the literature of macroeconomics. Ben-David and Papell (1995) found evindence in favor of trend stationarity using the secular sample of Maddison (1995). More recently, Murray and Nelson (2000) correctly criticized this nding arguing that the Maddison data are plagued with additive outliers (AO), which bias inference towards stationarity. Hence, they propose to set the secular sample aside and conduct inference using a more homogeneous but shorter time-span post-WWII sample. In this paper we re-visit the Maddison data by employing a test that is robust against AOs. Our results suggest the U.S. GDP can be modeled as a trend stationary process.
Phonology impacts segmentation in online speech processing q

Peña, Bonatti, Nespor, and Mehler (2002) investigated an artificial language where the structure of words was determined by nonadjacent dependencies between syllables. They found that segmentation of continuous speech could proceed on the basis of these dependencies. However, Peña et al. s artificial language contained a confound in terms of phonology, in that the dependent syllables began with plosives and the intervening syllables began with continuants. We consider three hypotheses concerning the role of phonology in speech segmentation in this task: (1) participants may recruit probabilistic phonotactic information from their native language to the artificial language learning task; (2) phonetic properties of the stimuli, such as the gaps that precede unvoiced plosives, can influences segmentation; and (3) grouping by phonological similarity between dependent syllables contributes to learning the dependency. In a series of experiments controlling the phonological and statistical structure of the language, we found that segmentation performance is influenced by the three factors in different degrees. Learning of nonadjacent dependencies did not occur when (3) is eliminated. We suggest that phonological processing provides a fundamental contribution to distributional analysis. 2005 Elsevier Inc. All rights reserved.
Cloud Computing with Intelligent Agents to Support Service Oriented System Control and Management

the past few years, Cloud computing has becoming one of the revolutionary technologies in ICT which grows in both popularity and importance, both in industry and in academic domain. More and more private companies, government organizations and institutions are convinced and happy to promote Cloud to improve both connectivity and instant social ability. For IT services and solutions for business, Cloud-based platform promises to offer better business intelligence and productive experience by using unified communications, consistent collaborated data and service management. It is well believed that Cloud Computing will also bring a revolution in the healthcare IT sector along with other ICT business. To exploit Cloud computing productivity potential, this paper focuses on adopting Cloud computing technologies with agent-based solutions to support service oriented system control and management. The on-going research and practice demonstrates an application to the management of community care provision, which shows transforming to Software-as-a-Service (Saas) with the combination of a private healthcare cloud and integrated agents can improve business efficiency by providing flexible services scheduling, smarter health care services control and management.
Comparing experiments with modeling for light ion helicon plasma sources

The ability to obtain high plasma densities with high fractional ionization using readily available, low-cost components makes the helicon a candidate plasma source for many applications, including plasma rocket propulsion, fusion component testing, and materials processing. However, operation of a helicon can be a sensitive function of the magnetic field strength and geometry as well as the driving frequency, especially when using light feedstock gases such as hydrogen or helium. In this paper, results from a coupled rf and transport model are compared with experiments in the axially inhomogeneous Mini-Radio Frequency Test Facility [Goulding et al., Proceedings of the International Conference on Electromagnetics in Advanced Applications (ICEAA 99), Torino, Italy, 1999 (Litografia Geda, Torino, 1999), p. 107] (Mini-RFTF). Experimental observations of the radial shape of the density profile can be quantitatively reproduced by iteratively converging a high-resolution rf calculation including the rf parallel electric field with a transport model using reasonable choices for the transport parameters. The experimentally observed transition into the high density helicon mode is observed in the model, appearing as a nonlinear synergism between radial diffusion, the rf coupling to parallel electric fields that damp near the plasma edge, and propagation of helicon waves that collisionally damp near the axis of the device. Power deposition from various electric field components indicates that inductive coupling and absorption in the edge region can reduce the efficiency for high-density operation. The effects of absorption near the lower hybrid resonance in the near-field region of the antenna are discussed. Ponderomotive effects are also examined and found to be significant only in very low density and edge regions of the Mini-RFTF discharge.
HEATING OF THE MAGNETIC CHROMOSPHERE: OBSERVATIONAL CONSTRAINTS FROM Ca ii λ8542 SPECTRA

The heating of the Sun's chromosphere remains poorly understood. While progress has been made on understanding what drives the quiet-Sun internetwork chromosphere, chromospheric heating in strong magnetic field regions continues to present a difficult challenge, mostly because of a lack of observational constraints. We use high-resolution spectropolarimetric data from the Swedish 1 m Solar Telescope to identify the location and spatio-temporal properties of heating in the magnetic chromosphere. In particular, we report the existence of raised-core spectral line profiles in the Ca ii λ8542 line. These profiles are characterized by the absence of an absorption line core, showing a quasi-flat profile between λ ≈ ±0.5 Å, and are abundant close to magnetic bright points and plage. Comparison with three-dimensional MHD simulations indicates that such profiles occur when the line of sight goes through an “elevated temperature canopy” associated with the expansion with height of the magnetic field of flux concentrations. This temperature canopy in the simulations is caused by ohmic dissipation where there are strong magnetic field gradients. The raised-core profiles are thus indicators of locations of increased chromospheric heating. We characterize the location and temporal and spatial properties of such profiles in our observations, thus providing much stricter constraints on theoretical models of chromospheric heating mechanisms than before.
ACTA VŠFS Economic Studies and Analyses Ekonomické studie a analýzy

Recent empirical evidence suggests that during economic booms, factors of production (especially labour) may shift into less productive and more pro-cyclical sectors of the economy, which can subsequently deepen and prolong economic slump. In this paper, we explore the eff ects of credit booms, monetary and fi scal policy expansions on labour productivity and labour reallocation in the Czech Republic. We model the eff ects jointly, as they are not mutually exclusive. To this purpose, we build a large dataset of hundreds of economic variables and estimate a FAVAR model of the Czech economy. We produce several fi ndings: (i) a credit boom causes labour reallocation towards less productive sectors; (ii) the eff ects are amplifi ed by a subsequent crisis period; (iii) monetary expansion supports the catch-up eff ect of the Czech economy but at the same time may boost credit activity and indirectly cause misallocations; and (iv) the most pro-cyclical sectors in terms of labour productivity in the Czech economy are Mining and quarrying, Construction and Manufacturing. These fi ndings contribute to the debate illustrating the prolonged decline in the economy and can be further used as an information base for the better targeting of preventive and stabilising economic policy measures in the future.
Explorer Identifying Emotional Characteristics from Short Blog Texts

Emotion is at the core of understanding ourselves and others, and the automatic expression and detection of emotion could enhance our experience with technologies. In this paper, we explore the use of computational linguistic tools to derive emotional features. Using 50 and 200 word samples of naturally-occurring blog texts, we find that some emotions are more discernible than others. In particular automated content analysis shows that authors expressing anger use the most affective language and also negative affect words; authors expressing joy use the most positive emotion words. In addition we explore the use of co-occurrence semantic space techniques to classify texts via their distance from emotional concept exemplar words: This demonstrated some success, particularly for identifying author expression of fear and joy emotions. This extends previous work by using finer-grained emotional categories and alternative linguistic analysis techniques. We relate our finding to human emotion perception and note potential applications.
Re-Examining Anomalous Early Dates of Settlement in Leeward Hawai'i Island

Anomalous dates prior to 1000 yr BP have been reported for near-surface site deposits at Puapua'a in the dry and rocky zone of leeward (west) Hawai'i Island, compared to archipelago-wide earliest cultural layers generally in buried contexts 1000–800 yr BP. Redating and closer examination cannot validate these early dates in cultural association. In the thin sedimentary deposits, preserved cultural materials mostly postdate 600–400 yr BP, but some older materials were incorporated into the layer matrix. The results suggest a much shorter extant chronology of human settlement of this particular zone, whereas earliest sites most likely are preserved in different settings of the Hawaiian Islands.
Suicide Response Preparedness in Counseling Students: A Study of Knowledge, Attitudes, and Simulated Behavior

Counselors-in-training are likely to encounter a suicidal client even before completing their education. Student counselors not trained in these practices are at risk for not identifying and adequately managing suicide risk. This study explores and describes counseling students’ knowledge about suicide, attitudes about suicide and suicide response, and simulated suicide response behavior; and to identify to what extent counseling students’ knowledge and attitudes about suicide and suicide response relate to and predict simulated suicide response behavior. Outcomes from this study suggest that these three constructs are related to one another; however, these relationships should be interpreted with caution. Only declarative knowledge about suicide and a moderating effect of declarative knowledge and attitudes significantly predicted suicide response behavior scores.
The Performance Enhancement Study of FIR Filters Based on Adjustable Window Function

The aims of this study are enhancement the performance of low pass FIR (Finite Impulse Response) Filters by using adjustable window design method, and reduce the amplitude of side lobes and Gibbs phenomenon problems in these filters,also study the effect of different orders of low pass FIR filters (20th ,70th, 200th ) on its performance when the parameter β in fixed value in the time domain and frequency domain, and investigate the effect of different values of parameter β =0.5,3,6,9 on its performance when the filter order in fixed value in the time domain and frequency domain.These filters are used in the ECG signal applications to remove high frequency noise. The simulation of design these filters is implementing by using FDA tool (filter design and analysis tool) and wintool (window tool) from matlab (R2010a) program. The study results have been obtained the lowest value of relative side lobe attenuation= -66.2dB with thin main lobe width = 0.016602 when the filter order and the parameter β are equal to 200th , 9 respectively , we find that Kaiser window function is the optimum window to reduce side lobe amplitude and to reduce the Gibbs phenomenon with control of the main lobe width as compared with other windows such as Hamming, Bartlett, Blackman and Rectangular, and gives much better stop band attenuation than the Parks-McClellan algorithm.
Control Rights, Network Structure and Vertical Integration: Evidence from Regional Airlines

This paper investigates the relationship between vertical integration and the importance of control rights under incomplete contracts. Our setting is the U.S regional airline industry. Regional airlines operate flights for major carriers under the major's brand. The majors market the regionals' flights as their own. There is substantial heterogeneity in whether or not regionals are owned by the major for which they operate. Furthermore, several majors own some of their regional partners while also contracting with others. We develop a simple framework that illustrates the benefits and costs of vertical integration between a major and regional. We argue that when unforeseen disruptions create the need for schedule adjustments - as frequently occurs in the airline industry - the major will internalize the impact of the disruption on its entire network, while the regional will not. Ownership of a regional mitigates this incentive problem by giving the major rights of control over how the regional's physical assets and labor force are used. However, by bringing the regional's labor force "in-house", ownership of a regional may erode some of the labor cost savings that are very reason why majors subcontract certain flights to regionals. Using data on majors' use of regionals in the second quarter of 2000, we test whether majors' choice of organizational form reflects this tradeoff between greater control and lower labor costs. Our results provide support for our analytical framework. We find that owned regionals are more likely to serve city pairs that are (1) more integrated into the major's network, where externalities not internalized by the regional will be the greatest; and (2) that owned regionals are more likely to serve city pairs with adverse weather conditions, where unforeseen schedule disruptions will be more common.
Syddansk Universitet Dysregulation of follicle development in a mouse model of premature ovarian insufficiency

Premature ovarian insufficiency (POI) occurs in 1% of reproductive-age women. The ovarian manifestation ranges from the presence of a variable population of follicles (follicular) to the absence of follicles (afollicular), and in the majority of cases the cause is unknown. A transgenic mouse model of follicular POI, the Double Mutant (DM), arises from oocyte-specific deletion of Mgat1 and C1galt1 required for the generation of Oand N-glycans. DM females are subfertile at 6 weeks, infertile by 9 weeks and exhibit POI by 12 weeks of age. In this study we investigate the cause of the reduced fertility at 6 weeks and infertility at 9 weeks of DM females. Ovary sections were used to analyse follicle and corpora lutea (CL) numbers, apoptosis, and levels of laminin and 3β-hydroxysteroid dehydrogenase using immunohistochemistry. After POI, DM females unexpectedly remained sexually receptive. At both 6 and 9 weeks, DM ovaries contained more primary follicles, however, at 9 weeks DM follicles were proportionally healthier, revealed by TUNEL analysis compared with Controls. In 9 week DM ovaries (collected post-mating), secondary follicles had theca and basal lamina structure abnormalities, whilst preovulatory follicles failed to ovulate resulting in the presence of numerous luteinised unruptured follicles, indicative of ovulation failure. Finally, DM ovaries contained more regressing CL with decreased luteal cell apoptosis indicative of a defect in CL regression. Identifying these follicular modifications have provided insight into the aetiology of a model of POI and highlight targets to investigate with the hope of developing new fertility treatments. Reproduction (2016) 152 591–601 10.1530/REP-16-009
How to tell your mates—costs and benefits of different recruitment mechanisms

The evolution of sociality has created the need for information transfer among group members. Insects that live in societies cannot behave as if they were solitary; rather, actions by different group members need to be integrated to achieve desirable outcomes at the level of the group. The ways in which individuals exchange information depends largely on the size of the society. Small societies can rely on all individuals having knowledge about which tasks need to be done and where to go, but global knowledge about all tasks needed by a colony is much harder to achieve once group size increases (Deneubourg et al. 1987). Groups comprising a large number of individuals cannot rely on all individuals having perfect information about their colony’s needs, but must instead rely on their interactions with their peers as well as information directly obtained from their immediate surroundings. The result is self-organized emergence of adaptive behavior at the group level (Camazine et al. 2001). Recruitment is an example of such self-organized behavior. Recruitment, a collective term for any behavior that results in an increase in the number of individuals at a particular place (Deneubourg et al. 1986), to food sources is probably the most widely studied, but recruitment also occurs in the context of building (e.g., Karsai and Penzes 1993; Bonabeau et al. 1998), excavation (e.g., Deneubourg and Franks 1995), defense (e.g., Millor et al. 1999), and nest site selection (Pratt et al. 2002; Visscher 2007). contents
Object recognition on video from camera to computer

The goal is to determine the effectiveness of object detection in a video using the camera for the computer. In the course of work studied and described the main methods of recognition of objects in the image, namely the use of artificial neural networks and techniques of Viola-Jones. For the study, based on the method of Viola-Jones, implemented the application for object recognition in video, as this method is effective for solving this problem. With this application, a study was conducted to determine the effectiveness of the method of viola-Jones to detect objects in the video.
7 Brain Computer Interface with Wavelets and Genetic Algorithms

Abdolreza Asadi Ghanbari1, Mir Mohsen Pedram2, Ali Ahmadi3, Hamidreza Navidi4, Ali Broumandnia5 and Seyyed Reza Aleaghil5 1Young Researchers Club, Boroujerd Branch, Islamic Azad University, Boroujerd, 2Electrical Engineering Department, Tarbiat Moallem University, Tehran, 3Electrical and Computer Department, Khajeh Nasir Toosi University of Technology, Tehran, 4Applied Mathematics and Computer Sciences Department, Shahed University, Tehran, 5Islamic Azad University-South Tehran Branch, Tehran, Iran