bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic Multi-objective Optimization for Coagulating Process of Carbon Fiber Precursor Based on Lifelong Learning
Authors: Liu Menglong , Jin Liang , Zhang Xiaomei , Fang Yilin 
Published: August 2023

Abstract
Process parameter optimization is an essential link in the coagulating process of carbon fiber. In this paper, considering the dynamic factors of the coagulating bath environment, a dynamic multi-objective optimization problem (DMOP) model for the coagulating process is constructed with process parameters as decision variables and performance indicators as optimization objectives. We combine lifelong learning (LLL) and multi-objective optimization to solve this model and propose a lifelong learning-based dynamic multi-objective evolutionary algorithm (LLL-DMOEA). In LLL-DMOEA, the lifelong learning method is used to learn common knowledge in historical environments. After the arrival of the new environment, we use the common knowledge to generate a high-quality initial population and speed up the process of the multi-objective optimization algorithm to find the Pareto-optimal set (POS) in the new environment. At the same time, common knowledge only requires information in historical environments. The response time to environmental changes can be sped up by learning before the new environment arrives. Experimental results show that the proposed algorithm can effectively solve the optimization problem of process parameters in the coagulating process.
Comparative Study of Furuta Pendulum Based on LQR and PID Control
Authors: Guo Hongpei , Wu Jun , Yin Ziqiang , Zhang Weidong 
Published: August 2023

Abstract
Furuta pendulum is an underdriven and unstable controlled object with one input and two outputs, and has an open-loop zero point at the origin of the complex plane. In this paper, a nonlinear dynamic model of the Furuta pendulum is established by the Eulerian-Lagrangian method, and a series-connected PID control strategy is designed by using the root locus method and the frequency domain analysis method based on the local linearization model at the steady-state operating point. Besides, an LQR control strategy is designed based on the discrete state-space model. In addition, a comparative analysis of the PID control strategy and the LQR control strategy is conducted, and it is found that the LQR control strategy can achieve stable control of the outer loop in the case of unstable inner loop. Finally, the effectiveness of the two control schemes is verified by real-time control experiments.
Design and Implementation of Handwritten Digit Recognition Accelerator Based on Systolic Array
Authors: Yue Zhifei , Ma Jun 
Published: August 2023

Abstract
Due to the rapid development in artificial intelligence, the classic Von Neumann architecture is no longer able to meet the demands of high-computing, high-storage, and high-bandwidth artificial intelligence applications. To address this issue, this paper proposes a handwritten digit recognition accelerator based on a systolic array. First, a 5 convolutional layer handwritten digit recognition network is built. Besides, The FPGA-based convolution accelerator employs im2col technology to convert convolution calculations into matrix multiplications and uses a systolic array to efficiently perform these multiplications. Furthermore, the four convolution processes are pipelined to improve the throughput. Finally, a handwritten digit recognition system is implemented on the PYNQ-Z2. Compared with the software implementation on Arm, the speedup of the accelerator is 598x, the delay is 1.24 s, and the power consumption is 2.51 w.
Comparative Analysis of Ultrasonic Phased Array Detection and CIVA Simulation
Authors: Wang Zuyue , Chen Le 
Published: August 2023

Abstract
The selection of an ultrasonic phased array inspection process has a great impact on the inspection results. For specific workpieces and processes, CIVA simulation can be used to quickly analyze the imaging effect, which is of great significance for process optimization. In this paper, CIVA software is used to carry out phased array detection simulation of defect holes in specific areas of phased array B-type test block, the same process is used to carry out actual phased array detection, and the positioning and quantitative accuracy of each defect hole is compared and analyzed. The results show that the difference between CIVA simulation and actual detection results is small, and the actual detection accuracy is slightly better than CIVA simulation.
Spectral-domain Spatial-temporal Convolution Graph Neural Network for Industrial Fault Diagnosis
Authors: Ru Jiapei , Zeng Wei 
Published: August 2023

Abstract
In modern industrial production, once a fault occurs in the production process, it will affect the whole production and bring huge economic losses. There are a large number of device sensors in modern production, and there are complex interactions between them. But the existing methods can not efficiently and accurately mine the depth of information from mass production data. We proposed the Spectral-domain Spatial-Temporal Convolution Graph Neural Network model, which comprehensively considers the information of spatial and temporal dimensions in production data. The nodes and edges of the heterogeneous graph represent the sensor signals and their interactions. Each sensor data is converted to the spectral domain to extract the time domain features, and graph convolution is used to carry out the spatial relationship between input sequences. Finally, the proposed model is verified using the Three-Phase Flow Facility (TFF) dataset, and the overall accuracy rate reached 96.28%, showing better performance than other baseline models.
The Influence of Photovoltaic Light and Heat Environment of Ceramic Studio on Making Technology and Human Health
Authors: Xu Peijian , Xu Zhanpeng , Peng Dan 
Published: August 2023

Abstract
To study the influence of the Photovoltaic light and heat environment of the ceramic studio on human health and ceramic production technology, we take the ceramic studio of a university in Wuhan as the research object. And we use data processing and fitting algorithm to build the model. This paper provides a basis for improving the photothermal environment of ceramic studios in Wuhan. The results show that the indoor illumination of a one-sided window studio in the daytime is significantly lower than that of a two-sided window studio. The studio with one side window had about 80 Lx (unit of illuminance) less daytime interior illumination than the studio with two sides. In terms of illumination, the illumination of the studio with single-side Windows is about 100 Lx in the daytime, and that of the studio with double-side Windows is about 180 Lx.
Nutrients and sea surface temperature drive harmful algal blooms in China’s coastal waters over the past decades
Authors: Wei Wenyu , Han Yue , Zhou Yuntao 
Published: August 2023

Abstract
Eutrophication under climate change is well known to affect the community, productivity, and distribution of phytoplankton. However, the specific drivers of harmful algal blooms (HABs) in coastal China are not fully understood. Using HAB observed data since 1981, we quantified the distribution changes in HABs and estimated key environmental drivers (e.g. nutrients, sea surface temperature (SST), and precipitation) of HABs in China’s near seas. After 1981, the geographic range of HABs significantly expanded; moreover, the annual impacting period (AIP) of four of China’s near seas increased from 259% to 1090%. We found that rising total nitrogen (TN) or SST dominated the increase in the AIP in each near sea. Compared to the major contribution of TN to AIP in the other three near seas, TN has relatively weaker impacts than SST on AIP in the South China Sea (SCS). The peak of AIP in the SCS is highly correlated with extremely high SST. The significant contributions of climate change to HABs underscore the growing urgency to strictly control watershed nutrient input to mitigate marine eutrophication.
Observed and simulated local climate responses to tropical deforestation
Authors: Smith Callum , Robertson Eddy , Chadwick Robin , Kelley Douglas I , Argles Arthur P K , Coelho Caio A S , de Souza Dayana C , Kubota Paulo Y , Talamoni Isabela L , Spracklen Dominick V , Baker Jessica C A 
Published: August 2023

Abstract
Tropical deforestation has local and regional effects on climate, but the sign and magnitude of these effects are still poorly constrained. Here we used satellite observations to evaluate the local land surface temperature and precipitation response to tropical deforestation in historical simulations from 24 CMIP6 models. We found tropical forest loss leads to an observed local dry season warming and reduced wet and dry season precipitation across the range of scales (0.25°-2°) analysed. At the largest scale analysed (2°), we observed a warming of 0.018 ± 0.001 °C per percentage point of forest loss (°C %−1), broadly captured in the multi-model mean response of 0.017 ± 0.005 °C %−1. The multi-model mean correctly simulates reduced precipitation due to forest loss in the dry season but simulates increased precipitation due to forest loss in the wet season, opposite to the observed response. We found that the simulated dry season surface temperature and precipitation changes due to forest loss depend on the simulated surface albedo change, with less warming and less drying in models with greater increases in surface albedo due to forest loss. Increased recognition of the local and regional climate benefits of tropical forests is needed to support sustainable land use policy.
First detection probability in quantum resetting via random projective measurements
Authors: Kulkarni Manas , Majumdar Satya N 
Published: August 2023

Abstract
We provide a general framework to compute the probability distribution

F
r

(
t
)

of the first detection time of a ‘state of interest’ in a closed quantum system subjected to random projective measurements. In our ‘quantum resetting’ protocol, resetting of a state is not implemented by an additional classical stochastic move, but rather by the random projective measurement. We then apply this general framework to Poissonian measurement protocol with a constant rate r and demonstrate that exact results for

F
r

(
t
)

can be obtained for a generic two level system. Interestingly, the result depends crucially on the detection schemes involved and we have studied two complementary schemes, where the state of interest either coincides or differs from the initial state. We show that

F
r

(
t
)

at short times vanishes universally as

F
r

(
t
)
∼

t
2

as t → 0 in the first scheme, while it approaches a constant as t → 0 in the second scheme. The mean first detection time, as a function of the measurement rate r, also shows rather different behaviors in the two schemes. In the former, the mean detection time is a non-monotonic function of r with a single minimum at an optimal value

r
∗

, while in the later, it is a monotonically decreasing function of r, signaling the absence of a finite optimal value. These general predictions for arbitrary two level systems are then verified via explicit computation in the Jaynes–Cummings model of light–matter interaction. We also generalize our results to non-Poissonian measurement protocols with a renewal structure where the intervals between successive independent measurements are distributed via a general distribution

p
(
τ
)

and show that the short time behavior of

F
r

(
t
)
∼
p
(
0
)

t
2

is universal as long as

p
(
0
)
≠
0

. This universal t
2 law emerges from purely quantum dynamics that dominates at early times.
Compliant mechanisms for dust mitigation in Lunar hardware development: technology and material considerations
Authors: Budzyn D H , Zare-Behtash H , Cowley A , Cammarano A 
Published: August 2023

Abstract
During the Apollo missions, astronauts observed negative impact of Lunar dust on the surface hardware. The characteristics of Lunar environment and the regolith properties accelerate the contamination and promote the abrasion and clogging of different components in the equipment. To protect the hardware from damages in the future Lunar missions, several mitigation technologies must be adapted. In this work, we propose to consider application of solutions that are naturally dust resilient. Such solutions, called implicit dust mitigation technologies, include usage of compliant mechanisms. Compliant mechanisms use elastic deformation to achieve motion and can replace rigid-body mechanisms that suffer increased friction and jamming due to dust accumulation in the inter-element gaps. Material selection for compliant mechanisms needs to be considered very early in the design process, and as demonstrated in our work, it is crucial to the final mechanism performance.
A Simple Method for Determining Shallow Charge Distributions in Dielectrics via Pulsed Electroacoustic Measurements
Authors: Gibson Zachary , Dennison J R 
Published: August 2023

Abstract
The understanding of charge dynamics in dielectric materials is paramount in mitigating electrostatic discharge events for spacecraft. The most critical spacecraft charging events are found to result from incident electrons in the energy range of 10 keV to 50 keV. The charge embedded in dielectric materials in this energy range are deposited a distance into the material on the order of a few to tens of microns. One way to measure and understand the deposited charge is via pulsed electroacoustic measurements (PEA). However, the typical PEA spatial resolution of ~ 10 μm is not sufficient to resolve or discern charge deposited at the lower end of this incident electron energy range, where deposited charge distributions are obscured by the superposition of the signal originating from induced mirror charge on the electrode of the pulsed electroacoustic system. A simple method is proposed and demonstrated in which reference measurements from a pristine sample are used to separate the effect of the induced mirror charge from the measured embedded charge to obtain a more accurate determination of the deposited charge distribution.
Contamination Level Prediction: Progress in Species Separation by TGA/MS
Authors: Lansade David , Roussel Jean-François , Faye Delphine , Rioland Guillaume , Suliga Agnieszka , Ergincan Orcun 
Published: August 2023

Abstract
Molecular contamination can be detrimental to spacecraft life expectancy as it may induce changes to the properties of the surfaces on which it deposits. In order to control these potential issues, manufacturers need to assess in-flight contamination levels in the quite early design phases, possibly leading to design changes or extra material bake-out to fulfil requirements. The accuracy of model assessments may thus have direct impacts on missions and costs. Prediction of outgassing and deposition at mission timescale is done by extrapolating short-term on-ground experimental results, by fitting the latter with some empirical or physical laws. Common methods are the power law interpolation (in isothermal conditions) or the residence time approach (with thermally activated time constants), which leads to exponential decays in isothermal conditions. Although they allow fitting the measured outgassed flux over few-day-long experiments, their extrapolation to ten or fifteen-year-long missions is more challenging. Validating empirical laws might involve long-term empirical comparisons, while obviously the validation of physical models should start with checking their physics. In spite of many years trying, a basic difficulty was yet found to block significant progress on physical validation. As long as measurements are limited to the total mass on QCMs it looks possible to fit data as a sum of almost any law, such as residence time or diffusion models e.g. for outgassing. Following this observation, a conclusion was drawn that the only way to discriminate between two different physics was to characterize contamination at chemical species level. Such characterizations are a prerequisite to unravel the physics at play during several phenomena: outgassing, deposit films dynamics, photochemistry, environment/ATOX interactions, etc. This innovative approach, presented herein, aims at identifying outgassed contaminants by means of coupled thermogravimetric analysis and mass spectrometry. For this purpose, this paper reports the successful species separation and identification of contaminants outgassed from a material used in space applications: the epoxy adhesive Scotchweld EC-9323-2.
A cryogenic method for testing thermal radiative properties of surfaces for space probes
Authors: Frolec J , Kralik T , Bras B , Portaluppi M 
Published: August 2023

Abstract
We present a cryogenic method for testing of thermal radiative properties of materials commonly used in ground-based systems as well as for space probes. It is possible to measure total hemispherical emissivity or absorptivity of metallic or dielectric surfaces (0.1% - 100%) in the range of temperatures from 10 K up to 320 K of the source of thermal radiation. Emissivity of thermal control coatings for the space probe JUICE are presented together with other materials used for space exploration or cryogenics.
Euro Material Ageing – Ground-based testing and selection of the ESA flight candidate materials
Authors: Suliga Agnieszka , Wessing Johanna , Hand Aurélie , Tighe Adrian , Vincent-Bonnieu Sebastien , Rampini Riccardo 
Published: August 2023

Abstract
One of the newest European additions to the International Space Station (ISS) is the Airbus Bartolomeo payload hosting platform, attached externally to the European Columbus Module. This will provide an unobstructed access to the external space environment offering research opportunities for a wide range of space science applications. One of the Bartolomeo missions under development is Euro Material Ageing (EMA) – a joint collaboration between the European Space Agency (ESA) and the French Space Agency (CNES). ESA is using the Bartolomeo platform as a testing opportunity to perform materials science research and calibrate its ground-based testing facilities against the real space environment. Additionally, it offers a unique opportunity to small space players of the European market for direct in-flight technology validation.
Euclid: Ice Contamination Testing
Authors: Szmolka S , Bras B , Portaluppi M , Paterson K , Schirmer M , Venancio L 
Published: August 2023

Abstract

Euclid is a medium-size ESA mission which will map the geometry of the Universe for a better understanding of dark matter and dark energy. Due to the mission profile and stringent performance requirements, the in-orbit contamination environment is a key aspect to control. Cryogenic operational temperatures root a particular concern over water/ice contamination on optical elements, since increased light scattering could potentially cause a significant impact on the performance of the payload. This challenging work under representative conditions closes the link between performance and ice contamination on specular surfaces (e.g. Mirror M1). The publication covers in detail the design and execution of the test campaign performed in ESA’s TEC-QEE Yuta vacuum facility, resulting in a data-set of spectral information at cryogenic temperatures. The optimised translation/rotation mechanisms incorporating fiber optics allowed scanning in different angular configurations: both the specular reflection as well as scattered light at different levels of surface contamination. The test results show that the effects of ice contamination are most noticeable in specular configuration. A summary is also given about ice-kinetics measured on the black paint used on the external baffle. The work supports Euclid’s calibration team in predicting expected performance and tuning the frequency and duration of in-flight decontamination processes.
Materials inspection of the ISS Columbus Trunnion scuff plate MLI
Authors: Mooney C , Dias N , Butenko Y , Schmeitzky O , van Papendrecht G 
Published: August 2023

Abstract
As part of the preparation for the Bartolomeo platform, various locations of the trunnion scuff plate were required. Scuff plate MLI blankets were removed and recovered from Columbus ISS in August 2019 as part of these EVA activities. These blankets having seen more than 11 years in orbit are extremely valuable from a materials-science perspective where direct analysis of the impact of the space environment can be seen and evaluated to see its effect on materials, contamination and functionality of the blankets.
Space polymers erosion in simulated LEO and VLEO environments
Authors: Iskanderova Z , Tagawa M , Kleiman J , Nishioka S , Horimoto S 
Published: August 2023

Abstract
The VLEO satellites, that are orbiting at an altitude of 200-300 km and that provide advantages for high-resolution Earth observation and atmospheric science, are becoming important not only for science, but also for agriculture, forestry, and oceans observations, for military, national security and the future of satellite businesses. We evaluated, for the first time, the performance and defined the erosion yields (Ey) for a selected number of main space hydrocarbon, fluorinated, and perfluorinated polymers in the ground-based simulator facility at conditions, imitating the LEO and VLEO environments. We also compared the results with the data for polymers erosion in LEO and with the previously established predictive model, developed for polymers and composites in LEO environment. The obtained data indicated that the predictive model can be extended and used, with some corrections for the predictions of space polymers erosion in the VLEO environment.
A drain current formula for two-dimensional field-effect transistors with one-shot convergence algorithm
Authors: Yan Zhao-Yi , Hou Zhan , Wu Fan , Zhao Ruiting , Yan Jianlan , Yan Anzhi , Wang Zhenze , Xue Kan-Hao , Liu Houfang , Tian He , Yang Yi , Ren Tian-Ling 
Published: August 2023

Abstract
Two-dimensional material-based field-effect transistors (2DM-FETs) exhibit both ambipolar and unipolar carrier transports. To physically and compactly cover both cases, a quasi-Fermi-level phase space (QFLPS) approach was proposed, but it still involves complicated integration operations. This article aims at improving the numerical efficiency of the QFLPS model by several orders of magnitude so that it can readily be implemented in a standard circuit simulator. We first rigorously derive the integral-free formula for the drain-source current to achieve this goal. Besides computationally benign, it explicitly gives the correlation terms between the electron and hole components. Secondly, to work out the boundary values required by the new expressions, we develop an algorithm for the channel electrostatic potential based on the zero-temperature limit property of the 2DM-FET system. By calibrating the model with the realistic device data of black phosphorus and monolayer molybdenum disulfide FETs, the algorithm is tested against practical cases. Two orders of magnitude improvement in time consumption can be achieved compared with the integral-form QFLPS approach, and it is even four orders of magnitude faster than the traditional continuity-equation based approach.