Miracle-dz/UniFAR-FTUs huggingface dataset:
Fault‐tolerant attitude tracking control of tandem rotor helicopter considering internal actuator saturation and external wind gust

Tandem rotor helicopter is configured with two main rotors distributed along the longitudinal direction and without anti‐torque tail rotor. Therefore, the control strategy of tandem rotor helicopter can be quite different from that of traditional helicopter systems. In this article, a fault‐tolerant attitude tracking controller is presented for tandem rotor helicopter, with considerations of external wind disturbance and internal actuator problem. First, attitude control oriented dynamic model of the tandem rotor helicopter is constructed, in which both actuator fault and saturation are involved. Base on statistical characteristics of practical wind condition as well as aerodynamic properties of the helicopter rotors, a detailed wind load model is further established. Then, a fault‐tolerant attitude tracking controller is proposed for the tandem rotor helicopter system by incorporating nonsingular terminal sliding mode control with an adaptive super twisting algorithm, which allows a simultaneous regulation of the three angular motions via two propeller rotors. Finally, based on Quanser's 3‐dof helicopter system, comparative simulation tests are performed to demonstrate the effectiveness as well as advantages of the proposed fault‐tolerant controller design.
Multi-Modal Fake News Detection via Bridging the Gap between Modals

Multi-modal fake news detection aims to identify fake information through text and corresponding images. The current methods purely combine images and text scenarios by a vanilla attention module but there exists a semantic gap between different scenarios. To address this issue, we introduce an image caption-based method to enhance the model’s ability to capture semantic information from images. Formally, we integrate image description information into the text to bridge the semantic gap between text and images. Moreover, to optimize image utilization and enhance the semantic interaction between images and text, we combine global and object features from the images for the final representation. Finally, we leverage a transformer to fuse the above multi-modal content. We carried out extensive experiments on two publicly available datasets, and the results show that our proposed method significantly improves performance compared to other existing methods.
Interior point algorithms for 3D contact problems

where |x1| = |x2| = |x3| = m, n = 3m, A ∈ Rn×n is the symmetric, positive definite Hessian matrix, b ∈ R, and l, g ∈ R. This problem arises, e.g., in duality based methods for the solution of 3D contact problems of linear elasticity with Tresca friction. As a widely used approach of contact problems with (more realistic) Coulomb friction is based on a sequence of Tresca friction problems [2], an efficient solver for (1) is of crucial importance. In this contribution we shall test algorithms based on an ”interior point” idea.
How to Effectively Reduce Honey Adulteration in China: An Analysis Based on Evolutionary Game Theory

Apiculture has been greatly developed in recent years in China. Beekeeping cooperatives and honey manufacturing enterprises have increased rapidly. As a result, a variety of honey products have entered the market, adding vitality to the food economy; however, the adulteration of honey products is on the rise in China. Previous attempts to control the adulteration of honey products mostly relied on technical, product-specific measures, and there was a lack of modeling research to guide the supervision of the honey product industry. In order to help local governments to better control the adulteration of honey products from a management perspective, this paper establishes an evolutionary game model composed of beekeeping cooperatives, honey product enterprises, and local governments. Through stability analysis and model simulation, we found that local government subsidies to cooperatives have little impact on the game system. Local government penalties to cooperatives and price adjustments of unadulterated raw honey by cooperatives are effective management tools to reduce the adulteration behavior of cooperatives. Local government penalties for enterprises are an effective management tool to reduce the adulteration behavior of enterprises. This research provides useful information for government agencies to design appropriate policies/business modes so as to promote sustainability and the healthy development of the honey product industry in China.
On the Intensity-Curvature Functional of the Bivariate Linear Function: The Third Dimension of Magnetic Resonance 2D Images in a Tumor Case Study

The Intensity-Curvature Functional is a mathematical engineering instrument which is calculated using the following procedure. The ratio between: (i) the product between the signal-image pixel intensity and the Classic-Curvature, both of them calculated at the grid node of the sequel of digital samples; and (ii) the product between the signal-image and the Classic-Curvature, both of them calculated at the intra-pixel location chosen for re-sampling the sequel of digital samples. This manuscript reports on the following phenomenon observed when using the bivariate linear function to model the signal-image data and to calculate the Intensity-Curvature Functional of 2D Magnetic Resonance Imaging (MRI) of a human brain affected by a tumor. A third dimension perpendicular to the image plane appears from the two-dimensional MRI images. The third dimension highlights the features of the 2D image and allows the identification of the tumor contour line.
Kualitas Layanan dan Destinasi Wisata terhadap Kepuasan Wisatawan untuk Mengunjungi Kembali Desa Wisata

This study aims to determine the effect of service quality and destinations on tourist satisfaction to revisit Bongan Tabanan Bali Tourism Village. This research method is descriptive quantitative. This study involved 105 respondents with various characteristics, including gender, age, occupation and income of the respondents. The sampling technique used was purposive sampling, to respondents who had visited at least two times to tourist sites. Data analysis used multiple regression analysis techniques. The results showed that service quality can have a significant positive effect on tourist satisfaction with a value of 0.370 on the indicator of willingness to respond to visitors with the highest value of 0.822. The destination quality variable also has a positive significant effect on tourist satisfaction with a value of 0.206, namely on social attractiveness in Bongan Tabanan Bali Tourism Village with a value of 0.868. Tourist satisfaction variable also has a significant positive effect on return visit interest with a value of 0.354 on the visit indicator in accordance with expectations. In the variable that there is a desire to visit again, there is an indicator with a value that has a positive effect, namely the value of 0.884, which is in the form of intending to travel to Bongan Tabanan Tourism Village, Bali. In conclusion, service quality affects tourist satisfaction which is also influenced by the quality of tourist destinations. The quality of service also has a strong influence on return visits from tourists. Keywords: Tourist Destinations, Service Quality, Return Visits, Tourist Satisfaction
Visual Cryptography: Keyless Approach for Image Encryption

Visual Cryptography is a technique that allows inf ormation (images, text, diagrams ) to be encrypted using an encoding system that can be decrypted by t he eyes. Visual cryptography provides a very powerf ul and secure technique by which one secret can be distrib uted into two or more shares. When the shares are x eroxed onto transparencies and then superimposed exactly t ogether, the original secret can be discovered with out computer participation. In VC generate random shares such that with minimal computation, the original secret image can be recovered from the random shares without any loss of image quality. Intent of this paper is dividing the image into random shares to maintain t he images secrecy. SDS algorithm is used for image encryption without keys.
A broadband Butler-based dual-polarized omni-directional antenna

Abstract This paper presents a broadband Butler-based slant ±45° dual-polarized omni-directional antenna working at the frequency band of 1.69–2.69 GHz for extending wireless communication network capacity in the limited service size. The proposed antenna realizes a 360° full coverage with wider bandwidth in a compact cylinder and increases the network capacity to 6 × 6 MIMO instead of using three traditional 2 × 2 MIMO omni-directional antennas. Theoretical analysis, simulation, and fabrication are conducted to validate the idea of the proposed omni-directional antenna. The measured results show 46% bandwidth with 15 dB return loss, 2.2 dB azimuth null and 8.9–10.5 dBi gain for port-C with 0° phase increment, and 14.1 dB azimuth null and 9.6–10.6 dBi gain for port-L/R (left/right) with ±120° phase increment, respectively.
Toward the Design of an Efficient and Secure System Based on the Software-Defined Network Paradigm for Vehicular Networks

The advent of Intelligent Transport Systems (ITS) has led to the appearance of vehicles increasingly connected to their environment on global road networks. Due to the strict requirements for low latency and secure interactions in a vehicular environment, the proposal of new architectures is a crucial topic for discussion. This paper aims to develop a vehicular network using several access technologies based on SDN (Software Defined Network) paradigm, to take advantage of the capacities of the various access networks and provide flexibility in their control and management. Confidentiality, integrity, and authentication are essential services to prevent an adversary from compromising the security of vehicular networks. Therefore, good security and privacy management system is necessary to ensure this protection. We represent then a hybrid SDN-VANET architecture that can address all of the challenges we mentioned earlier. We are in the process of implementing a dynamic approach to optimize the positioning of controllers according to changes in network topology due to fluctuations in road traffic. We will also detail the topology estimation service based on machine learning techniques to provide network control functions with potential insight into the future state of the network, unlocking proactive and intelligent network control. We also provide a scheme that prevents and informs about basic and compound attacks and reacts to the privacy and security conditions of the vehicular network, managing the requirements of security management systems. The simulation results showed the effectiveness of the proposed schemes in terms of message loss rates, packet delivery rates (PDR), Round Trip Time (RTT), and delays. With used our scheme, the performance of the network is improved when SDN triggers the change of the RSU entity. Such as we notice that the average RTT is lowered by 68 ms and that the PDR remains around 94%. We also notice with the integration of the security and privacy scheme (SPS) that the performance of the network is improved, the average RTT is reduced by 51 ms and the PDR persists around 99%.
La consommation d'une passion: le cas des MAMIL

« Et les âmes les plus faibles de toutes sont celles dont la volonté ne se détermine point ainsi à suivre certains jugements, mais se laisse continuellement emporter aux passions présentes (.) » (Descartes, 1649, p. 50). La passion est une faiblesse de l’âme, « (.) une émotion, une ardeur qui traduit la vitalité et l’intensité du sentiment » (Chambaz, 2014, p.71). Bromberger (1998), au travers de la consommation d’un grand nombre de « passions ordinaires » très diverses (e.g. jardinage, animaux de compagnie, football, météo.) montre comment ces passions se sont inscrites positivement dans le monde contemporain : « partagés massivement, assumés individuellement, acceptés moralement, vécus intensément (mais sans abus dangereux), ces engouements sont perçus comme des aspirations légitimes à la réalisation de soi et au réenchantement du monde » (Bromberger, 1998, p. 26).
Effect of Rear Contact Coverage and Improvement of Efficiency of Crystalline p-Si Solar Cell Compared to State of Art PERC Cell

A device simulation model for localized contact rear side oxide-passivated solar cell has been developed to study the effects of rear contact coverage and fixed charge density dependent field-effect passivation on the performance of <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math></inline-formula>-Si solar cell. Models describing hetero-interface physics related to metal-semiconductor, metal-oxide-semiconductor junctions and interface recombination are considered in the simulation, results of which are verified with the reported experimental data. A detailed analysis of the effect of surface passivation is presented and an analytical design with optimized set of parameters is outlined for fabricating the cell. The result shows that the efficiency of the solar cell can be substantially enhanced by controlling parameters mainly the ratio between localized back contact to the non-contact area and the fixed charge density at the oxide-interface. A maximum efficiency of <inline-formula> <tex-math notation="LaTeX">$\sim $ </tex-math></inline-formula>25% for a crystalline <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math></inline-formula>-Si solar cell with a comparatively lower lifetime can be obtained by a suitable choice of the design parameters with an added suitable choice of doping concentration in the emitter and absorber and the oxide layer thickness.
2. Resolving form-meaning discrepancies in Construction Grammar

A central idea in Construction Grammar is that there is no strict division between the lexicon and syntax (Fillmore et al. 1988; Jurafsky 1992; Goldberg 1995). It has been argued that although grammatical constructions differ in their complexity, they are basically the same type of declaratively represented data structures that pair form with meaning (Goldberg 1995: 7). However, there has been relatively little work detailing the exact nature of the relationship between form and meaning in Construction Grammar. This is important when an analysis aims to posit different abstract argument structure constructions for licensing a single syntactic structure that may be interpreted in different ways. For example, Goldberg (1995) claims that the caused-motion and resultative interpretations of the sentences in (1) and (2) are ultimately due to the fact that independently existing meaningful constructions are capable of contributing additional arguments to the basic senses of verbs.
A Novel Spectrum Detection Algorithm in Cognitive Radio Networks

In view of the deficiencies of the traditional spectrum detection algorithms, a novel signal detection algorithm—spectrum detection based on two-dimensional features in cognitive radio networks is proposed. It puts forward a new instantaneous characteristics parameter, which is called the average value of the absolute value of the zero-center normalized instantaneous energy. Then, a two-dimensional vector is constituted by the box dimension and the new instantaneous characteristics parameter. Finally, by taking this two-dimensional vector as the test statistics for spectrum detection, the novel algorithm not only shows a strong detection performance, but also can accurately identify the type of signal with a high recognition ratio. The numerical results show that, in 3dB environment, the algorithm proposed can completely correct detect the signal existed and identify the modulation type of this signal.
Localization of a particle due to dissipation in 1 and 2 dimensional lattices

We study two aspects of the problem of a particle moving on a lattice while subject to dissipation, often called the “Schmid model. ” First, a correspondence between the Schmid model and boundary sine-Gordon field theory is explored, and a new method is applied to the calculation of the partition function for the theory. Second, a traditional condensed matter formulation of the problem in one spatial dimension is extended to the case of an arbitrary two-dimensional Bravais lattice. A well-known mathematical analogy between one-dimensional dissipative quantum mechanics and string theory provides an equivalence between the Schmid model at the critical point and boundary sine-Gordon theory, which describes a free bosonic field subject to periodic interaction on the boundaries. Using the tools of conformal field theory, the partition function is calculated as a function of the temperature and the renormalized coupling constants of the boundary interaction. The method pursues an established technique of introducing an auxiliary free boson, fermionizing the system, and constructing the boundary state in fermion variables. However, a different way of obtaining the fermionic boundary conditions from the bosonic theory leads to an alternative renormalization for the coupling constants that occurs at a more natural level than in the established approach. Recent renormalization group analyses of the extension of the Schmid model to a twodimensional periodic potential have yielded interesting new structure in the phase diagram for the mobility. We extend a classic one-dimensional, finite temperature calculation to the case of an arbitrary two-dimensional Bravais lattice. The duality between weak-potential and tightbinding lattice limits is reproduced in the two-dimensional case, and a perturbation expansion in the potential strength used to verify the change in the critical dependence of the mobility on the strength of the dissipation. With a triangular lattice the possibility of third order contributions arises, and we obtain some preliminary expressions for their contributions to the mobility.
Vascular Effects on Cerebrovascular Permeability and Neurodegeneration

Neurons and glial cells in the brain are protected by the blood brain barrier (BBB). The local regulation of blood flow is determined by neurons and signal conducting cells called astrocytes. Although alterations in neurons and glial cells affect the function of neurons, the majority of effects are coming from other cells and organs of the body. Although it seems obvious that effects beginning in brain vasculature would play an important role in the development of various neuroinflammatory and neurodegenerative pathologies, significant interest has only been directed to the possible mechanisms involved in the development of vascular cognitive impairment and dementia (VCID) for the last decade. Presently, the National Institute of Neurological Disorders and Stroke applies considerable attention toward research related to VCID and vascular impairments during Alzheimer’s disease. Thus, any changes in cerebral vessels, such as in blood flow, thrombogenesis, permeability, or others, which affect the proper vasculo-neuronal connection and interaction and result in neuronal degeneration that leads to memory decline should be considered as a subject of investigation under the VCID category. Out of several vascular effects that can trigger neurodegeneration, changes in cerebrovascular permeability seem to result in the most devastating effects. The present review emphasizes the importance of changes in the BBB and possible mechanisms primarily involving fibrinogen in the development and/or progression of neuroinflammatory and neurodegenerative diseases resulting in memory decline.
Interaction between microorganisms and dental material surfaces: general concepts and research progress

ABSTRACT Bacterial adhesion to dental materials’ surfaces is the initial cause of dental materials-related infections. Therefore, inhibiting bacterial adhesion is a critical step in preventing and controlling these infections. To this end, it is important to know how the properties of dental materials affect the interactions between microorganisms and material surfaces to produce materials without biological contamination. This manuscript reviews the mechanism of bacterial adhesion to dental materials, the relationships between their surface properties and bacterial adhesion, and the impact of bacterial adhesion on their surface properties. In addition, this paper summarizes how these surface properties impact oral biofilm formation and proposes designing intelligent dental material surfaces that can reduce biological contamination.
Pilot-Induced Oscillation Analysis with Rate Limiter

This paper proposes a describing function method for limit cycle analysis of a system with a rate limiter. First, the rate limiter is defined and its describing function is derived in a strict manner.Then, the stability analysis using the describing function of the rate limiter is executed. In many cases of limit cycles, the output of the rate limiter becomes triangular, and in order to deal with such cases by the describing function, a new method to modify an open-loop transfer function is introduced. This method can predict the limit cycle occurrence more exactly, which is applicable to a prediction of a rate-limiter based PIO (Pilot-Induced Oscillation) of an aircraft.
Multi-source bioluminescene tomography reconstruction approach base on subspace decision

Bioluminescence tomography (BLT) reconstruction is an ill-posed problem. A class of strategy based on the permissible region (PR) reduces the ill-posed by reducing the space. However, in multi-objective reconstruction, the strategy is challenging to fit the sources of different positions. In this study, a subspace decision (SD) method is proposed, which transforms the traditional single permissible region into multiple spatially continuous subspaces by clustering, and performs spatial shrinkage optimization for each of them. In addition, a plug-and-play sliding single polyline module is introduced to analyze and cluster the reconstruction results each time to obtain the number and distribution of subspaces contained in the results. SD method does not rely on any specific reconstruction or clustering algorithm, so it has great flexibility. Experiment results show that the SD approach can more accurately obtain the spatial distribution information of different numbers of sources distributed in different locations and ensure the quality of multi-source BLT reconstruction. Keywords: Bioluminescence Tomography, Inverse Problem, Subspace, Clustering, Permissible Region.
APPROACH OF INFRARED SMALL TARGET MOTION PREDICTION AND TRACKING BASED ON H_∞ FILTER

According to the theory of H_∞ filter,an approach of small target motion prediction and tracking in infrared images was presented based on H_∞filter technology.In order to reduce the rank of the model for speeding up the velocity of image process,the filter process was analysed along horizontal orientation and vertical orientation,that is,the filter was decomposed into two filters along x and y orientation. H_∞filter is a filter technology based on the optimization of worst condition which doesn't require too much about the noise sources and it can be applied to target motion prediction and tracking in complex and clutter background.The experiments demonstrate that H_∞ filter is more exact for IR small target motion prediction and resistible to the disturbance than Kalman filter in the system which has the uncertain or unknown noise sources.