Miracle-dz/UniFAR-FTUs huggingface dataset:
Inverse Design of Microstructures via Generative Networks for Organic Solar Cells

We consider the inverse problem of efficiently designing material microstructures that exhibit desired electrical properties in an organic solar cell design. We leverage data-driven generative models to learn the underlying data distribution and generate novel microstructures during test time. We focus on a recent framework, specifically generative invariance networks (InvNets), which simultaneously learns from a dataset of microstructures while constraining the output of the generative model to conform to constraints such as generating microstructure designs with a targeted short circuit current density, J values. While previous works in this area have focused on the model training and data efficiency aspects, the applicability and success of Generative Invariance Networks to different material systems (i.e., the donor material and the acceptor material chemistry) and device thickness remain unexplored. In this paper, we demonstrate that we can successfully adapt the same InvNet framework to different material systems and device thicknesses with minimal computational effort.
BLACK SOLDIER FLY LARVAE FOR ORGANIC WASTE TREATMENT - PROSPECTS AND CONSTRAINTS

Larvae of the black soldier fly, Hermetia illucens L. (Diptera: Stratiomyidae), may be used in low and middle-income countries to transform organic waste into valuable animal feedstuff: in the form of their last larval stage, the so-called prepupa. Revenues from sales of this potential animal feed can cover parts of the waste collection costs. Our research studies the prospects of this emerging technology, evaluates its constraints and responds to open research questions by means of lab scale experiments in Switzerland and Thailand and by conducting pilot field trials in Costa Rica. We conclude that the use of black soldier fly larvae has a great potential in organic waste management, be it the treatment of market waste, municipal organic waste or dewatered faecal sludge. Certain limitations exist, especially regarding the presence of heavy metals in the feed material, which negatively influence life history traits of the fly population and can accumulate in the prepupae.
Simulation and Modelling of Triboelectric Nanogenerator for Self-powered Electronic Devices

Triboelectric Nanogenerators has revolutionised the area of energy harvesting and self-powered sensing. In recent years, variety of small scale applications of triboelectric nanogenerators have been explored extensively particularly in self powered electronics, wearable and implantable devices, self-powered biosensors, human motion monitoring, location evaluation, air quality control etc. This paper discusses simulation and modelling of contact separation mode based triboelectric nanogenerator. In this work, triboelectric nanogenerators are simulated in COMSOL to compare the voltage profile of three different triboelectric materials – Kapton, Teflon and RTV Silicone with respect to Aluminium. Also, the effect of thickness of triboelectric layer on voltage profile is studied to optimize the thickness of the films. The output voltage recorded is 75 V, 60 V and 59 V for RTV Silicone, Teflon and Kapton respectively. It was observed that with increase in thickness of triboelectric layer, output voltage first increases linearly and then starts decreasing. The future research is directed towards fabricating a robust device for realising self – powered electronic devices.
Spatio-temporal coverage planning algorithm for multi-UAV and multi-sensor cooperative search

A spatio-temporal coverage planning algorithm for multi-UAV and multi-sensor cooperative search is proposed in this paper, named STC-MARL, which is based on multi-agent reinforcement learning and allows several UAVs equipped with two types of sensors to learn to complete full view of a field of interest (FOI). The proposed STC-MARL algorithm can make participating UAVs to learn from the environment to complete the full coverage of a specific FOI while minimizing field of views (FOVs) interacted with each other. The experimental results show in detail with simulation that the UAVs in the mission can effectively accomplish the task of spatio-temporal coverage planning.
Performance Comparison of Variants Based on Swarm Intelligence Algorithm of Mathematical and Structural Optimization

In this paper, three different variants of the canonical particle swarm optimization (PSO) algorithm are compared in terms of their optimal solutions to engineering optimization problems. The PSO often face to premature convergence due to its weak capability in local exploitation, which leads to a low optimization precision or even failure. Moreover, the computational burden is also one of the obstacles for the PSO when solving complex problems. To overcome these drawbacks, the original PSO algorithm is integrated with the knowledge sharing and auxiliary mechanisms of comprehensive learning (CL) and Gaussian local search (GLS) strategies to form the so-called GLS-PSO, CLPSO, and GLS-CLPSO algorithms. To demonstrate the accuracy and robustness of the three variants, their performance is tested on a benchmark spatial truss structure with continuous variables. The obtained optimization results are then compared with those by other PSO variants in the literature.
Power Grid Field Violation Recognition Algorithm Based on Enhanced YOLOv5

Aiming at the problem that Yolov5 is difficult to accurately detect backlighting and small samples in national grid power transmission and distribution operations, studies the illegal behavior technology of “two wear and one wear” in power grid operation, and proposes a violation recognition algorithm based on the enhanced YOLOv5. First, add a new detection layer and use the BiFPN (bi-directional feature pyramid network) layer for feature fusion, so that feature layers of different scales can better learn the weight distribution and enhance the fusion ability. Secondly, add CBAM (Convolutional Block Attention Module) module before the output detection layer feature map to make full use of channel and spatial information to achieve better model accuracy and recall. The experimental results on the six self-made data sets show that the mAP of this method is 91.0%, which is 5.6% higher than the original algorithm, indicating that the model has stronger predictive ability and robustness for the identification of personnel and safety tools in transmission and distribution scenarios.
Hyperbolic approximation of the BBM equation

It is well known that the Benjamin–Bona–Mahony (BBM) equation can be seen as the Euler–Lagrange equation for a Lagrangian expressed in terms of the solution potential. We approximate the Lagrangian by a two-parameter family of Lagrangians depending on three potentials. The corresponding Euler–Lagrange equations can be then written as a hyperbolic system of conservations laws. The hyperbolic BBM system has two genuinely nonlinear eigenfields and one linear degenerate eigenfield. Moreover, it can be written in terms of Riemann invariants. Such an approach conserves the variational structure of the BBM equation and does not introduce the dissipation into the governing equations as it usually happens for the classical relaxation methods. The state-of-the-art numerical methods for hyperbolic conservation laws such as the Godunov-type methods are used for solving the ‘hyperbolized’ dispersive equations. We find good agreement between the corresponding solutions for the BBM equation and for its hyperbolic counterpart.
Calculating the Greenhouse Gas Emissions of Flights: A Comparative Study of Existing Protocols

To better understand the climate issues associated with aviation, several protocols for assessing greenhouse gas emissions from flights have been developed by various organisations. This multiplicity leads to variable and inconsistent results from one method to another. Yet few comparative studies exist in the grey and academic literature to highlight and understand this variability. This paper focuses on 6 calculation protocols (myclimate, atmosfair, and ICAO among others) and compares the methodological choices of each of them to partly explain the variability of results. We found that for most of the parameters that influence the outcomes, the 6 protocols all have different methodological choices, some of which (such as those of ICAO and DGAC) lead to underestimation of CO2 emissions. We conclude that the most appropriate protocol depends on the purpose of the calculation (carbon offsetting, comparison of different modes of transport or influence on travel behaviour).
The Improved Quantum Secret Sharing Protocol Based on Grover Algorithm

Quantum secret sharing(QSS) is a cryptographic protocol based on the uncertainty principle and quantum no-cloning theorem and is an essential aspect in quantum computing. This paper describes the Grover search algorithm and how to improve QSS protocol by Grover Algorithm. The QSS based on the Grover algorithm is more secure and easier to operate compared to old QSS protocols. Some scientists improved the security of the first QSS protocol based on QSA by changing the check mode. After that, a protocol with quite different procedures was proposed. The improved one enhances the feasibility of the protocol and it could also make sure that the communication is secure from the attacks.
Object detection based on Yolov4-Tiny and Improved Bidirectional feature pyramid network

In the field of small object detection, Yolov4-Tiny is inadequate in feature extraction and does not make best of multi-scale features. In this paper, an improved BiFPN framework is proposed based on Yolov4-Tiny to increase object detection precision. Moreover, the Yolov4-Tiny is taken as the backbone network and introduce spatial pyramid pooling (SPP) to connect and merge multi-scale regions. Finally, our method can achieve 79.53% map on Pascal VOC dataset, which is 2.12% higher than the original Yolov4-Tiny model.
The Bus Control System Based on Intelligent Security Design

Due to traffic congestion and the changeable internal and external driving environment, it is difficult for bus drivers to respond quickly to the surrounding environment in an emergency, resulting in traffic accidents. This paper designs an intelligent and efficient active security system. The security monitoring system includes abnormal emotion processing system and trajectory offset processing system. The two systems are applied to image acquisition unit, image processing unit, vehicle trajectory determination unit, data storage unit and data transmission unit. The trajectory offset processing system and abnormal emotion processing system are used to analyze and process the data of various sensors, upload the data to the platform, and realize multi department cooperative processing.
The Electronic and Ferroelectric Properties in Strontium and Zirconium Doped BaTiO3 from First-Principles Calculations

The structure, electronic and ferroelectric properties of BSZT were investigated based on first-principles calculations. The result of relaxation structure and two-dimensional charge density indicates that the tetragonal crystalline structure is distorted after Sr and Zr doping. The double-well curve fits well with the phenomenological Landau-Devonshire theory. Moreover, the smaller Zr ion displacement leads to a lower spontaneous polarization of BSZT than the original BaTiO3. The hybridization between the 3d states of Ti and the 2p states of O, and the hybridization between the 4d states of Zr and the 2p states of O are observed in the density of states, which is the reason for the ferroelectricity of BSZT materials.
Calibration and Target Signal-to-Noise Ratio Enhancement Method of Infrared Camera Array Based on Refocus

The accuracy of infrared (IR) camera calibration directly affects the quality of IR imaging results. Many imaging devices have been utilized in infrared dim and small target detection, which is a major research direction in infrared field. Comparing with single-lens cameras, IR camera array can improve the detection capability by adding more imaging units, and is expected to break the limitations of traditional single-lens imaging system in cost, volume and performance. The calibration methods for camera array nowadays are generally applied in visible spectrum instead of IR band. In this paper, we proposed a calibration method based on refocus for IR camera array. Furthermore, the target signal-to-noise ratio enhancement method become effective after calibration of IR camera array. As the camera parameters obtained can be used to correct image distortion and improve the quality of imaging, the calibrating process can support many subsequent tasks such as target detection. Experiments indicate that our method achieves the expected effect.
Taking into Account the Requirements of Ergonomics as an Important Factor in Creating a Comfortable Environment in an Educational Institution

The research aim was to suggest a project version for a comfortable stay to people, including handicapped population groups in an educational institution, taking into account current ergonomics requirements. It is the principle of ergonomics that determines the concept of design, architectural and equipment capability of a building. The objective of the present research is to find the right combination of ergonomic principles suggested by the authors for the most comfortable stay of various groups of people, including those with limited mobility while studying in a university building. The university building was modeled in the Revit Structure 2020 Computer-aided design (CAD) system to solve this problem taking into account actual building regulations including the ergonomics requirements. The scientific merit of the study consists of the suggestion and validation of the available ergonomic requirements applied in a definite project. The object is a university building with an inner courtyard and an adjacent entrance hall, a gym and four academic buildings. The structure of the main building of the university is an elliptic paraboloid. The safety provisions and ergonomics for people with reduced mobility are focused on according to the present performance requirements. The paper also describes the original construction of the building. In addition to the convenient location of objects, it lets the wind flows level down.
The Calculating Dynamics Erosion of Support Foundations of Ocean-Technical Installations

The article discusses an approach to calculating the characteristics of soil erosion near the support foundations of ocean-technical structures under the influence of wave and constant currents. Vertical supports in the form of a circular cylinder are considered a support base. An example of the choice of the initial and boundary conditions for the calculation is given. Simulation is carried out near the cylindrical support. The results obtained were compared with empirical data. Conclusions are drawn about the displacement of the zones of maximum and minimum velocities during wave movement. The spatial distribution of the amplitudes of the wave velocities was calculated. A decrease in the amplitude in the rear part of the cylinder and immediately in front of its frontal part was revealed, and it was also determined that the zone of an increase in the amplitude was formed near the lateral surfaces of the cylinder.
Reachability and Real-Time Actuation Strategies for the Active SLIP Model

Abstract : Running and hopping follow similar patterns for different animals. An aerial phase alternates with a ground contact phase, during which the center of mass moves as if a spring were compressed and then extended to recover stored elastic energy. Consisting of a point mass mounted on a massless spring leg, the Spring Loaded Inverted Pendulum (SLIP) is a prevalent model for analyzing running and hopping. We consider an actuated version of the SLIP model, with a series elastic actuator added to the leg, serving the purposes of adding/removing energy to/from the system and of modifying dynamics during stance toward achieving non-steady locomotion on varying terrain. While the SLIP model has been a topic of research in legged locomotion for several decades, studies on the effect of actuation on the system's behavior are still not complete. The goal of this thesis is to explore how a series elastic actuator applied to the SLIP model's leg can change the system's dynamics. This, in turn, enables a variety of long-term planning strategies for using limited footholds and design non-steady gaits while simultaneously recovering from unexpected perturbations, both sensorial and due to a limited knowledge of the terrain profile. We principally investigate how, through actuation, we can solve partially or completely the system's equations of motion, to enforce a desired trajectory and reach a desired state. We also determine the reachable state space of the model using several different actuation strategies, investigating the variation of the reachable set with respect to particular actuator motions and providing relationships between local actuator displacements throughout stance and location of the reached apex state. We then propose a control strategy based on graphical and numerical studies of the reachability space to drive the system to a desired state, with the ability to reduce effects of sensing errors and disturbances happening at landing as well as during ground contact.
Focusing of Radially polarized Light Using Gaussian laser beam Near its focal length

The Richards-Wolf diffraction model is used to examine focusing of RPGB radially polarized Gaussian beam of low & large numerical aperture. The longitudinally polarized component becomes predominant at high numerical aperture and high radius. Numerical calculations for varied beam characteristics, numerical aperture (NA), and beam radius (θ 0) show the total optical intensity distribution in the focal region. The whole optical intensity distribution in the focal region is illustrated using numerical computations for various beam parameters, numerical aperture (NA), and beam radius (θ 0)The suggested technique appears to produce subwavelength focal spot of o. 51λ& significant focal depth of 21λ. Optical trapping, data storage, biomedical imaging, laser cutting, microscopy, and the manipulation of optical traps with high refractive index particles can all benefit from such beams with a small spot size and large focal depth.
Exploration and Exploitation: From Bandits to Bayesian Optimisation

This project aims to offer a theoretically principled method for approaching the task of balancing exploration and exploitation in the setting of correlated multi-arm bandits, and to extend this application to encompass Bayesian optimisation. Our method is an attempt to generalise the Gittins index algorithm for multi-arm bandits to settings where bandit reward distributions can be correlated and, following that, settings with a continuum of bandits, leading to Bayesian optimisation. Our algorithm has no hyperparameters to set and is theoretically principled in the sense that it is motivated by consideration of the optimality of the Gittins index for independent bandits. We also derive an efficient algorithm for computing the Gittins index based on Gaussian process approximations to the value function using cubic spline covariance functions. Our Gittins based algorithm is demonstrated to outperform many standard approaches to multi-arm bandits when the bandits are correlated and is competitive with standard algorithms for Bayesian optimisation, especially outperforming those without free hyperparameters.
A Study of Explainable Community-Level Features

Community ﬁnding algorithms are complex, stochastic algorithms used to ﬁnd highly connected groups of individuals in a graph. As with “black-box” machine learning approaches, these algorithms provide little explanation or insight into their outputs. In this novel research paper, inspired by work in explainable artiﬁcial intelligence (XAI), we look to develop post-hoc explanations for community ﬁnding algorithms. Speciﬁcally, we aim to identify features that indicate whether a set of nodes comprises a community or not. We evaluate our model-agnostic methodology, which selects interpretable features from a longlist of candidates, in the context of three well-known community ﬁnding algorithms.
The Preliminary Seismic Probabilistic Safety Assessment for HANARO Research Reactor

HANARO is the 30MW pool-type research reactor. It can be characterized by operation in atmospheric pressure under the saturation temperature, ultimate core cooling by natural convection with no external power, and so on. Thus, no fuel damage is expected actually in most of postulated initiating events due to the intrinsic safety features for HANARO. According to the requirements of the Citizen Verification Team (2018.3 ~ 2019.4), however, a research project was launched in 2019 to prove that the operating research facilities are fully satisfied with the domestic nuclear safety goals (e.g., less than 0.1% of individual risks) through the risk profile assessment of the research site. This study focuses on, the preliminary seismic PSA for HANARO research reactor, which is one of the important contributor for research site risk assessment. Note that this paper is limited to the preliminary results of level 1 seismic PSA for HANARO.
Nanotechnology: The Gateway of Revolution in Dentistry

Nanotechnology has tremendous potential to provide a comprehensive oral health care with advanced devices and tools for better diagnosis, cure and prevention of oral diseases.Its effectiveness is also been seen in field of medicine, engineering and our day to day life. Research is going on to reduce the cost and improve the quality of medical technology by making advances in field of nanotechnology, so that we can address the prevalent medical conditions and reduce human sufferings. Thus, the aim and objectives of this review is to elaborate, the recent development and trends and the far-reaching impact of nanotechnology on clinical dental practice and its future implications.
Utilization and optimization for particle filtering multi-robot SLAM

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