Miracle-dz/UniFAR-FTUs huggingface dataset:
Human visual intelligence and particle filter based robust object tracking algorithm

Computer visual object tracking algorithms suffer from many difficulties and bottlenecks.However,robust visual object tracking is just a basic capability of human visual system(HVS). Therefore,a computational model simulating topdown visual attention mechanism is constructed,and an object tracking algorithm is proposed by detecting focus area of visual attention to imitate the global searching process of HVS and applying particle filter tracking to emulate the local tracking process of HVS.Comparative experimental results show the outperformance of the proposed algorithms in visual object tracking.
Model Manipulation for End-User Modelers

syntax visual MTLs can be seen as the counterparts of declarative textual MTLs, relying on similar formalisms and execution engines. For instance, the QVT-R [140] standard provides an equivalent abstract syntax visual notation to its declarative textual notation. Consider the QVT-R speci cation in Figure 3.5, representing a direct counterpart to the textual speci cation in Listing 3.2. In this case, the transformation developer may freely choose between the visual and textual versions of a speci cation. Several abstract syntax visual MTLs are based on the graph rewriting formalism, again manifesting important similarities with some declarative textual MTLs. Examples include VIATRA [45], VMTS [112], and AToM [109]. Algebraic graph transformation [58], another prominent graph transformation paradigm, is adopted by AGG [187]. Due to its underlying algebraic graph transformation
Wide bandgap semiconductor radiation detectors for future space applications

SiC and Al0.52In0. 48P photodiodes were experimentally investigated for their suitability as radiation detectors for use in high temperature (≥ 20 °C) environments applications. Commercial-off-the-shelf (COTS) 4H-SiC UV p-n photodiodes were repurposed for use as X-ray detectors. Custom-made Al0.52In0. 48P p+-i-n+ mesa X-ray photodiodes were also studied. The measurements used an 55Fe radioisotope X-ray source. The electrical characterisation of the commercial 4H-SiC UV p-n photodiodes and the Al0.52In0. 48P p+-i-n+ mesa X-ray photodiodes were investigated at temperatures up to 140 °C and 100 °C, respectively. The photocurrent of the commercial 4H-SiC UV p-n photodiodes were also investigated at temperatures up to 80 °C. The temperature dependences of the energy resolution (FWHM at 5.9 keV) of photon counting spectrometers employing these two different kinds of photodiodes are reported, along with shaping time noise analysis. One of the commercial 4H-SiC UV p-n photodiodes was subsequently characterised under illumination from X-rays of energy 4.95 keV to 21.17 keV, generated by fluorescing high purity metal foils with X-rays from a Mo target X-ray tube. These measurements were conducted at a temperature of 33 °C. The investigation included measurements of spectrometer energy resolution, energy response linearity, and flux linearity measurements. One of the commercial 4H-SiC UV p-n photodiodes was further studied as a direct electron detector of soft (< 66 keV) electrons (β- particles) at temperatures up to 100 °C. In addition to experimental measurements, Monte Carlo simulations were conducted and compared with the spectrometer’s response. Results of the research presented in this thesis indicates the commercial 4H-SiC UV photodiodes and the Al0.52In0. 48P X-ray photodiodes can be used for high temperature X-rays spectroscopy. Moreover, the results also show that the commercial 4H-SiC UV photodiode can be used for high temperature electron spectroscopy. The work with the 4H-SiC UV photodiodes shows that they can be repurposed for use in low cost X-ray spectroscopy missions, such as CubeSat instrumentation to monitor solar X-rays. The work with the Al0.52In0. 48P X-ray photodiodes shows the current state of the art of custom compound semiconductor X-ray detectors specifically designed for such environments.
Change Impact Analysis for Object-Oriented softwares in the distributed environment

Applying the change impact analysis to the distributed environment is not straightforward since it is based on the centralized system environment. In this paper, we investigate the change impact analysis of object-oriented shoftwares in the distributed environment. We first, categories the types of changes common in object-oriented software into three sets: data, method, and class level changes. We, then, analyze the impact of each set of changes and represent it in the form of a DPDG. A DPDG is a graph showing relationship of object oriented softwares - with data elements. classes, design documents, servers - in the distributed environment. DPDG searches element of software to retest when the software is changed. Thus, DPDG saves effort of software to retest. In this paper, We propose the table of firewall for retest elements that be discovered by DPDG and implement the table of firewall. The table of firewall is used VIST that we design a software testing tool. The VIST utilizes the minimized firewall, then saves efforts and costs of retesting for distributed object-oriented software.
Research on improved leader-following formation method

To overcome the shortage of the leader-following algorithm,a multi-robot formation control method based on the trailblazer is proposed.In our technique,a trailblazer adopts the SLAM method to plan the formation and pass through the key positions of the path.Then,according to the key positions and environmental information,the leader adjusts the trajectory and computes the distances and angles with the following,so as to decide the real-time locations and posture of the following.Besides,our technique employs a logical-level based transformation strategy to transform the formation once the formation cannot pass a barrier.We conduct experiments on the player/stage platform,the results show that our proposed leader-following algorithm has better control effect,it can not only further enhance the integrity of the formation,but also guarantee the stability of the formation system.
A Framework to Address Communication Issues during Requirements Engineering Process for Software Development Outsourcing

With the advent of global software engineering, Software Development Outsourcing (SDO) has gained momentum. But the failure rate of outsourced software development projects is high. For such projects, Requirements Engineering (RE) involves intensive communication among geographically distributed stakeholders resulting in one of the major causes of the projects’ failures. Addressing communication issues during RE is critical for the success of such projects. Therefore, the basic objective of this study is to recommend RE practices for addressing communication issues in such scenarios. Literature review has been performed, questionnaire survey has been completed by involving SDO industry practitioners and their semi-structured interviews have been conducted for data gathering. We have: (i) Identified 32 communication issues of RE process for SDO from literature and industry, (ii) Provided 28 relevant RE practices to address such issues. A framework has been proposed that maps the communication issues to relevant RE practices in the form of RE practices’ sets to address corresponding issues.
Predicting the phase behavior of hydrogen in NaCl brines by molecular simulation for geological applications

Hydrogen is targeted to have a significant influence on the energy mix in the upcoming years. Its underground injection is an efficient solution for large-scale and long-term storage. Furthermore, natural hydrogen emissions have been proven in several locations of the world, and the potential underground accumulations constitute exciting carbon-free energy sources. In this context, comprehensive models are necessary to better constrain hydrogen behavior in geological formations. In particular, solubility in brines is a key-parameter, as it directly impacts hydrogen reactivity and migration in porous media. In this work, Monte Carlo simulations have been carried out to generate new simulated data of hydrogen solubility in aqueous NaCl solutions in temperature and salinity ranges of interest for geological applications, and for which no experimental data are currently available. For these simulations, molecular models have been selected for hydrogen, water and Na+ and Cl− to reproduce phase properties of pure components and brine densities. To model solvent-solutes and solutes-solutes interactions, it was shown that the Lorentz-Berthelot mixing rules with a constant interaction binary parameter are the most appropriate to reproduce the experimental hydrogen Henry constants in salted water. With this force field, simulation results match measured solubilities with an average deviation of 6%. Additionally, simulation reproduced the expected behaviors of the H2O + H2 + NaCl system, such as the salting-out effect, a minimum hydrogen solubility close to 57 °C, and a decrease of the Henry constant with increasing temperature. The force field was then used in extrapolation to determine hydrogen Henry constants for temperatures up to 300 °C and salinities up to 2 mol/kgH2O. Using the experimental measures and these new simulated data generated by molecular simulation, a binary interaction parameter of the Soreide and Whiston equation of state has been fitted. The obtained model allows fast and reliable phase equilibrium calculations, and it was applied to illustrative cases relevant for hydrogen geological storage or H2 natural emissions.
Face detection method based on neural network and Bayesian decision

Putting forward a face detection method which make use of BP neural network simulation and fixed the results of the simulation by Bayesian decision.Discussed the deficiency in face detection of BP neural network which was single used,and put forward a re-decision method by Bayesian decision.There were 4 000 face and non-face images which came from MITEx face database were used to complete the experiment,and the correct rate raised 3.63%. The results show the well distinguish effect of neural network,as well as the efficiency and necessary of Bayesian decision.
Rapid synthesis of hybrid methylammonium lead iodide perovskite quantum dots and rich MnI2 substitution favouring Pb-free warm white LED applications

We present a facile room temperature synthesis of CH3NH3Pb1−xMnxI3 perovskite quantum dots (PQDs) substituting manganese (Mn2+) at the lead (Pb2+) sites to minimize environmental pollution and make it commercially feasible. By varying the concentration of Mn2+ from 0 to 60%, the PQDs exhibit strong color tunability from red to orange color suggesting successful energy transfer due to Mn2+ inclusion. We observed a high external photoluminescence quantum yield (PLQY) of 98% for unsubstituted CH3NH3PbI3 and >50% for up to 15% Mn2+ substituted PQDs. The average lifetime of PQDs was found to shorten with increasing Mn2+ replacement. We demonstrate a white LED prototype by employing the CH3NH3Pb1−xMnxI3 PQDs with green QDs on a blue LED chip. The CRI and CCT value varying from 92 to 80 and 5100 K to 2900 K, respectively, indicate the usability of the Mn2+ substituted PQDs as efficient warm white LEDs with a promising CRI and good stability.
Content Based Segregation of Pertinent Documents Using Adaptive Progression

Due to the emerging technology era, today a number of firms share their service/product descriptions. Such a group of information in the textual form has some structured information, which is beneath the unstructured text. A new attainment which facilitates the form of a structured metadata by recognizing documents which are likely to have some type and this information is then used for both segregation and search process. The idea of this advent describes some attributes of a text that will match with the query object which acts as identifier both for segregation as well as for storage and retrieval. An adaptive technique is proposed to deal with relevant attributes to annotate a document by satisfying the users querying needs. The solution for annotation-attribute suggestion problem is not based on the probabilistic model or prediction but it is based on the basic keywords that a user can use to query a database to retrieve a document. Experiment results show that Querying value and Content Value approach is much useful in predicting a tag for a document and thus prediction is also based on Querying value and Content value which greatly improves the utility of shared data which is a drawback in the existing system. This approach is different, as we consider only the basic keywords to be matched with the content of a document. When compared with other approaches in the existing system, Clarity is a primary goal as we expect that the annotator may improve the annotations on process. The discovered tags assist on quest of retrieval as an alternative to bookmarking.
Simulation of Set-Top Box in Time-Shifted TV based on HFC

Time-Shifted TV(TSTV)is a novel service of Digital TV.TSTV based on HFC needs co-operation of special equipments,such as IPQAM and Set-Top Box.But at the stage of development,such hardware environment is hard to acquire.The emulator of STB discussed in this paper,can not only simulate the bidirectional communication between TSTV and STB,but also send out a large scale of concurrent requests.Practice of project shows,the STB emulator plays an important role in development and testing phase of TSTV system.
Record-Efficiency n-Type and High-Efficiency p-Type Monolike Silicon Heterojunction Solar Cells with a High-Temperature Gettering Process

We report independently confirmed 22.15% and record 22.58% power conversion efficiencies for thin (130–140 μm) p-type and n-type monolike Si solar cells, respectively. We comparatively assessed advanced n-type and p-type monolike silicon wafers for potential use in low-cost, high-efficiency solar cell applications by using phosphorus diffusion gettering for material-quality improvement and silicon heterojunction solar cell fabrication for assessment of performance in high-efficiency photovoltaic device architecture. We show that gettering improves material quality and device properties significantly, depending on the type of doping (n-type or p-type), wafer position in the ingot, drive-in temperature, and cooling profile. Owing to the high open circuit voltage (725 mV), the record n-type solar cell also represents the highest reported solar cell efficiency for cast silicon to date.
Sentence Sentiment Analysis Based on Multi-redundant-labeled CRFs

This paper proposes a new method called Multi-redundant-labeled CRFs and applies it on sentence sentiment analysis. This method can not only solve ordinal regression problems effectively, but also obtain global optimal result over multiple cascaded subtasks by merging subjective/objective classification, polarity classification and sentimental strength rating into an integrated model, with each subtask maintaining its own feature types. Experiments on sentiment classification of sentences show a better performance than standard CRFs, and thus validate the effectiveness of this method. Additionally, this method theoretically provides a way to solve ordinal regression problems for the algorithms whose training is based on maximization likelihood estimation.
Study of the Dependence of Open Circuit Voltage on Material Parameters in CH3NH3PbI3 Perovskite Solar Cells

Perovskite solar cells are regarded as a promising alternative for the next generation solar cells. Despite a significant improvement in their power conversion efficiency (PCE), the dependence of open circuit voltage ( ) OC V on material parameters has not been fully understood. We have derived two analytical expressions for the OC V in perovskite solar cells as a function of material parameters, such as electron (hole) mobility ( ) e h μ μ ,electron-carrier concentration (n),effective density of states of holes at the at the valence band edge ( ) V N , photo generation rate G , active layer thickness(d)and electron drift velocity ( ) e v . It is found that using perovskite materials with low V N , higher electronhole mobility ratio ( ) e h μ μ , and larger active layer thickness at high light intensity can lead to higher OC V and hence higher PCE in perovskite solar cells, which agree well with experimental results. These results may provide useful guidance in selecting materials leading to higher OC V and hence PCE in perovskite solar cells.
Modulation of Heavy Metal/Ferromagnetic Metal Interface for High‐Performance Spintronic Devices

Spintronic devices such as magnetic tunnel junctions and skyrmions have attracted considerable attention due to features such as nonvolatility, high scalability, low power, and high speed. Over the past few years, innovative materials and new structures in this field have resulted in the emergence of new phenomena and exciting device performance. It has been found that the heavy metal (HM)/ferromagnetic metal (FM) interface plays an essential role in spintronic devices. Spintronic device performance can be significantly enhanced through proper modulation of this interface. Recent progress in this blooming field is reviewed with specific emphasis on the HM/FM interface. Investigations into HM/FM‐interface‐related phenomena, including perpendicular magnetic anisotropy, tunnel magnetoresistance, magnetic damping, spin–orbit torque, and Dzyaloshinskii–Moriya interaction, are put into context. Guidelines for realizing high‐performance spintronic devices are provided, and an outlook on their future research direction and potential applications is given.
Vectorial modeling for the image formation of a high-numerical-aperture Mueller-matrix ellipsometer

We have recently developed a high-numerical-aperture (high-NA) Mueller-matrix ellipsometer (MME). By adopting a high-NA objective lens, the scattered light can be collected and the image with high lateral resolution is acquired to obtain the spatially resolved Mueller matrix of the sample. In this manuscript, we propose a model of the image formation of the high-NA MME based on the rigorous coupled-wave analysis (RCWA) and vector diffraction theory. The proposed imaging formation model consists of four parts: scattering on the sample, collecting by the optical system, propagating in the optical system, and imaging on the image plane. Each part can be modeled and calculated separately. Utilizing the proposed model, we have performed a numerical simulation for two types of gratings. The results reveal the potential of the proposed model in predicting the measured Mueller matrix and analyzing the sensitivity of the high-NA MME to different nanostructures.
When do small fatigue cracks propagate and when are they arrested?

Abstract The formation of small and long cracks and their propagation or arrest are treated drawing special attention to the (a) impact of environment and (b) several loading parameters (R-ratio, stress/strain-amplitude, constant-amplitude and variable-amplitude loading, superimposed loading, ultrasonic fatigue loading, and frequency effects) for three groups of metallic materials (two high-strength steels, 7075 and 2024 Al alloys, polycrystalline copper). The influence of these parameters on lifetimes and fatigue crack propagation behavior being determined by microstructural features on all levels of magnification (ranging from several millimeters to nanometers) is presented. A review of the state of knowledge according to literature is given in the introduction. The following results were obtained, and models for their interpretation were presented: The development (growth or arrest) of small cracks into a long crack is driven by several competing processes (due to material, way of loading, environment, etc.). The environment plays a predominant role. Especially in the high-cycle and very-high cycle regime, the complexity of interacting processes needs further – mainly experimental – investigations. Some further studies relate to different loading conditions and possibilities of testing considering newly developed material. Experiments in high vacuum have to form the basis for studying environmentally assisted fatigue response.
On analytic analogues of quantum groups

In this paper we present a new construction of analytic analogues of quantum groups over non-Archimedean fields and construct braided monoidal categories of their representations. We do this by constructing analytic Nichols algebras and use Majid's double-bosonisation construction to glue them together. We then go on to study the rigidity of these analytic quantum groups as algebra deformations of completed enveloping algebras through bounded cohomology. This provides the first steps towards a $p$-adic Drinfel'd-Kohno Theorem, which should relate this work to Furusho's $p$-adic Drinfel'd associators. Finally, we adapt these constructions to working over Archimedean fields.
EFFECTS OF FILLING RATIO, ORIENTATION AND PRINT TEMPERATURE ON BENDING PROPERTIES OF 3D PRINTED PLA BEAMS

In this study, flexural properties of 3D printed PLA beam specimens produced with different filling ratios, orientations and print temperatures are experimentally investigated. Various bending specimens were produced by means of 3D printer using PLA filament as raw material. Low, intermediate and high filling ratios, lengthwise/widthwise and crosswise filling orientations, and different print temperatures were chosen as alternative production parameters of the printer. Manufactured beam specimens were subjected to three-point bending tests at room temperature in accordance with the TS EN ISO 178 standard. Effects of production parameters on mechanical bending properties including flexural modulus, maximum flexural stress, flexural strain at break, maximum force, and maximum deflection are clearly shown and discussed to state reasonable explanations of test results and to make conclusive suggestions.
A multiwavelength study of the hierarchical triple HD 181068: A test bed for studying star-planet-interaction?

HD 181068 is the only compact, triply eclipsing, hierarchical triple system containing a giant star known to date. With its central, highly-active G-type giant orbited by a close pair of main-sequence dwarfs, the system is ideal to study tidal interactions. We carried out a multiwavelength study to characterize the magnetic activity of the HD 181068 system. To this end, we obtained in- and out-of-eclipse X-ray snapshots with XMM-Newton and an optical spectrum, which we analyzed along with the Kepler light-curve. The primary giant shows strong quiescent X-ray emission at a level of 2e31 ergs, an S-index of 0.41 +/- 0.01, and marked white-light flares releasing up to 6e38 erg in the Kepler-band. During the second X-ray observation, we found a three-times elevated -- yet decaying -- level of X-ray emission, which might be due to an X-ray flare. The high level of magnetic activity is compatible with the previously reported absence of solar-like oscillations in the giant, whose atmosphere, however, undergoes tidally-induced oscillations imposed by the changing configuration of the dwarf-binary. We found that the driving force exciting these oscillations is comparable to the disturbances produced by a typical hot Jupiter, making the system a potential test bed to study the effects of tidal interactions also present in planetary systems.