bluuebunny/crossref_metadata_2025_split huggingface dataset:
Explainable cross-task adaptive transfer learning for motor imagery EEG classification
Authors: Miao Minmin , Yang Zhong , Zeng Hong , Zhang Wenbin , Xu Baoguo , Hu Wenjun 
Published: November 2023

Abstract

Objective. In the field of motor imagery (MI) electroencephalography (EEG)-based brain-computer interfaces, deep transfer learning (TL) has proven to be an effective tool for solving the problem of limited availability in subject-specific data for the training of robust deep learning (DL) models. Although considerable progress has been made in the cross-subject/session and cross-device scenarios, the more challenging problem of cross-task deep TL remains largely unexplored. Approach. We propose a novel explainable cross-task adaptive TL method for MI EEG decoding. Firstly, similarity analysis and data alignment are performed for EEG data of motor execution (ME) and MI tasks. Afterwards, the MI EEG decoding model is obtained via pre-training with extensive ME EEG data and fine-tuning with partial MI EEG data. Finally, expected gradient-based post-hoc explainability analysis is conducted for the visualization of important temporal-spatial features. Main results. Extensive experiments are conducted on one large ME EEG High-Gamma dataset and two large MI EEG datasets (openBMI and GIST). The best average classification accuracy of our method reaches 80.00% and 72.73% for OpenBMI and GIST respectively, which outperforms several state-of-the-art algorithms. In addition, the results of the explainability analysis further validate the correlation between ME and MI EEG data and the effectiveness of ME/MI cross-task adaptation. Significance. This paper confirms that the decoding of MI EEG can be well facilitated by pre-existing ME EEG data, which largely relaxes the constraint of training samples for MI EEG decoding and is important in a practical sense.
Lead-free Perovskites TlGeClxBr3-x (x=0,1,2,3) as Promising Materials for Solar Cell Application: a DFT Study
Authors: Pingak R K , Johannes A Z , Hauwali N U J , Deta U A 
Published: November 2023

Abstract
This study investigates the structural parameters and the electronic properties of cubic TlGeClxBr3-x (x=0,1,2,3) lead-free perovskites to evaluate their potential as absorbers in perovskite solar cell devices. Density Functional Theory (DFT) embedded in the Quantum Espresso code was used to calculate these properties. The results revealed that the compounds have optimized lattice constants of 5.244 Å, 5.336 Å, 5.416 Å, and 5.501 Å, for TlGeCl3, TlGeCl2Br, TlGeClBr2, and TlGeBr3 perovskites, respectively. In addition, the compounds are direct band gap (R→R) semiconductors with energy gap values of 0.847 eV, 0.683 eV, 0.556 eV, and 0.518 eV for the respective materials. It is important to note that the band gap of the perovskites reduces as a Cl− ion, two and three Cl− ions are replaced by a Br− ion, two and three Br− ions, respectively. The analysis of their projected density of states indicated that near the valence band maximum of the perovskites, Cl-3p and Br-4p states contributes the most to their total DOS. In contrast, the Ge-4p orbital is the most dominant state close to the conduction band minimum. Based on these energy gap values, the studied materials are promising candidates for lead-free perovskite solar cell devices, with TlGeBr3 projected to be more promising than the other three materials.
Design of Automatic Insect Trap Hypothenemus hampei Ferr. based on Solar Cells as a Source of Stinging Energy
Authors: Rachmanita R E , Anggraini S , Apriadana M I R 
Published: November 2023

Abstract
One of the plant-disturbing organisms that always harms coffee plants is the insect Hypothenemus hampei Ferr. which causes fruit borer attacks. This study aims to design a solar panel-based H. hampei trapper. This tool is designed to work automatically according to the settings on the solar charge controller; it can catch H. hampei effectively; this tool has a low current (DC) that is safe for farmers; this tool can be used in plantation areas far from PLN because the source of electrical energy comes from solar cells; maintenance costs are relatively cheap, but the tool is designed to operate in the long term. The H. hampei trap uses solar panels as an energy source and is equipped with a stinger that works automatically by utilizing the solar charge controller feature. The functional test results show that the tool that has been designed can work well according to the plan made. The average consumption of stingers is 23.70 Wh. The average panel energy yield is 26.85 Wh. The panels’ energy output has exceeded the amount of energy the stingers need. The tool is designed to trap H. hampei well.
Determination of the Rock Contact Lithology of the Nanggulan Formation with the Magnetic Method in the Hargorejo Area of Kulon Progo
Authors: Fatimah F , Rizqi A F 
Published: November 2023

Abstract
The Nanggulan Formation is a formation unit consisting of sandstone, clay, and other sedimentary rocks. Lithological contact between clay and geologically old andesite could indicate an avalanche. The magnetic method in collecting data uses a natural magnetic source with a proton magnetometer. Acquisition data was determined according to the survey design, namely a grid with a distance of 250 meters per point. Data processing to remove noise data, namely noise from magnetic storms, position and altitude, and other natural disturbances. Later, Processing will produce a magnetic anomaly map, which must be separated between local and regional anomalies. This local anomaly will later form the basis for 2.5-dimensional modeling. This 2.5-dimensional modeling can get an overview of lithology, relationships between lithologies, and rock contacts according to the geological model in the field. The modeling results can describe the relationship between the claystone of the Nanggulan Formation and the igneous rocks of the Old Andesite Formation. Its relationship claystone is overlapping Andesite rocks in the Horgorejo Kulon Progo area. This can cause soil movement and landslides if the Andesite rocks experience massive weathering and erosion and if rainfall is high.
The Implementation of STEM-Integrated Project-Based Learning Model on Renewable Energy Topic Through a Windmill Simulation
Authors: Azis K R , Handayani R D , Lesmono A D 
Published: November 2023

AbstractThe depletion of conventional energy sources requires human innovations related to renewable energy. Unfortunately, learning about renewable energy, especially in Indonesia, is only theoretical with teacher-centered learning. The learning should be student-centered as a future generation must be ready for all the changes and demands of the 21st-century era. This study aims to describe the process of implementing the STEM-integrated PjBL model on renewable energy issues through windmill simulation. The research was conducted in a High School in Jember Regency. This type of research is descriptive qualitative with a single case study approach. The results showed that the stages in STEM-integrated PjBL, including teacher introduction, objectives, connections, well-defined outcomes, materials, engagement, exploration, explanation, extension, and evaluation, are very suitable for implementation in high school, especially renewable energy. STEM-integrated PjBL can be conducted to make students more active in the learning process.
Analysis of Changes in Modulation Parameters on Optical Communication System
Authors: Laila N N , Fadhilah N , Mutawakkillah N , Dzulkiflih  
Published: November 2023

Abstract
This study aims to analyze the NRZ-OOK modulation format in free-space optical communication. Simulations were conducted to examine the influence of the SpS parameter and optical signal power at the input modulator on the average power of the modulated optical signal. The research employed a computer simulation approach, where the optical signal was transmitted through an optical path without cables, enabling fast data transmission and longer distances compared to wired media. The method used specifically uses a machine learning-based application, Python. The simulation results indicate that higher SpS values result in a more accurate and smoother optical signal representation. Furthermore, an increase in the optical signal power at the input modulator increases the average power of the modulated optical signal. However, negative optical power values do not hold any relevant physical meaning. The magnitude of the Pi_dBm value also affects the optical signal spectrum, with higher optical power generating more robust frequency components. Graphs with negative optical power exhibit significant noise due to distortion and non-linearity. The findings of this study provide a better understanding of the influence of these parameters in the NRZ-OOK modulation format for free-space optical communication.
Continual Advance in Earth Physics Research Group at Physics Study Program, Unesa: What’s new and the next step
Authors: Prastowo T , Madlazim  , Realita A , Fahmi M N 
Published: November 2023

Abstract
Earth Physics Research Group (EPRG) is one of three groups of research running at Physics Study Program, the State University of Surabaya, Indonesia, where a number of research projects with corresponding topics have been conducted (and some are in progress) by the group members and associated students having final projects in the field of earth physics since 2018. Whereas the research roadmap of the group has been presented in association with definitive research projects for 25 years long starting from 2011, the specific goal of this paper is to shortly summarise all academic achievement in terms of research performance made by the group members during the last five years. The majority of the recent works was mainly based on computational work, where some were completed in collaboration with researchers from other universities and a national agency and others were performed by the group members and selected students. The topics were spread across disciplines in earth physics that included tectonic earthquakes, tsunami generation and propagation of seismic and non-seismic origin, volcanic eruptions and an integrated disaster mitigation study. A small portion of the projects were performed using a chosen method of applied geophysics. These studies have ended up with publications in recent years, where the saline points of the key findings are here presented. Future studies focusing on vulnerability to earthquake hazards in the northern areas of Java and on volcanic and meteo-tsunamis are also discussed in the context of possible tsunamis induced by seismic sources or volcanic processes.
Analysis of Effect of Input Power and RF Optical Signal Rate on Optical Communication System with OOK-NRZ Modulation
Authors: Nikmah A , Mauludi L D , Firdaus R A 
Published: November 2023

Abstract
This study analyzed optical and RF signals in optical communication systems using the On-Off Keying Non-Return to Zero (OOK-NRZ) modulation method and the direct-detection receiver model with PIN photodiodes. In this study, a simulation was carried out using Python software. Changes in optical modulation input power and Symbol rate (Rs) were explored to understand their effect on signal characteristics. Models of ideal photodiodes (noiseless) and noisy photodiodes (considering thermal noise, shot noise, and bandwidth constraints) were used to compare receiver signals. The eye diagram analysis was employed to visualize receiver signal variation in a given time span. The results of this analysis provide a better understanding of the influence of changes in input power and symbol rate on optical communication systems through the OOK-NRZ method and insight into the characteristics of the receiving signal under realistic conditions. This study is able to provide guidance for the design and evaluation of optical communication systems using OOK-NRZ modulation and direct detection receivers.
The learnable CPG model based on Wilson-Cowan oscillator
Authors: Zhang Ruihan , Lu Qiang , Zhao Hanqing 
Published: November 2023

Abstract
The central pattern generator (CPG) is a micro circuit in neural system and it can generate rhythmic signals to regulate locomotion. The researchers have investigated the features of the CPG, and they have paid more attentions to the the programmable characteristic. In this address, a new learnable CPG based on Wilson-Cowan oscillator is established. The sine signal, the complex signal, the chaotic signal and angles of compass-like robot are used as input to test the new programmable central pattern generator. The simulations present that the learnable CPG has the ability to learn different signals effectively. These results are the significant contribution to the research of the programmable CPG.
Fault Diagnosis of Analog Circuits Based on The Sailfish Algorithm Optimized SKELM
Authors: Ding Ming , Ma Runping 
Published: November 2023

Abstract
In view of the long training time for the optimization of the network model parameters of the SELM and the uncertainty of the model generalization ability, this paper proposes an analog circuit fault diagnosis model based on the sailfish algorithm to optimize the stacked kernel extreme learning machine(SKELM). This model introduces a kernel function to build a multi-layer KELM, which can improve the generalization ability and learning speed of the feedforward neural network. The weights of each layer of SKELM are obtained through the automatic encoder training based on the KELM. Since KELM-AE does not need to set initial parameters, the training speed is improved. However, the kernel parameters and regularization coefficients of KELM-AE are set manually, so the sailfish optimizer (SFO) is used to optimize these two parameters, and then the optimal SKELM model is built through layer by layer training. Finally, the Leap frog filter circuit is used as the simulation experiment circuit, and further compared with the optimized SELM. The results show that KELM-AE has strong generalization ability, and it can map fault features to high-dimensional feature space through nonlinear mapping without extracting fault features separately, thus improving the classification accuracy.
Design and research of suburban railway fire alarm system
Authors: Yang Yang , Xie Kun , Zhou Qi 
Published: November 2023

Abstract
With the rapid development of suburban rail transit, fire safety issues have received more and more attention. As the first line of the Shanghai Suburban Railway, the fire safety problem of the Shanghai Suburban Railway Airport Link Line is more prominent. In this paper, an automatic fire alarm system is designed and researched for the fire safety problem of the Shanghai Railway Airport Liaison Line, which adopts a hierarchical distributed structure and can realize accurate fire detection thorough immediately sending fire alarm information to the station control room and line operation control center and informing the location of the fire area. At the same time, the system also coordinates with the BAS system and ISCS system or independently realizes the linkage control of fire fighting equipment. The research results of this paper are of great significance for improving the fire safety level of Shanghai railway airport links.
Study on cavitation fault features of centrifugal pumps based on principal component analysis
Authors: Fu Dongliang , Yu Jiongmin , Pu Chenjie , Ye Fei , Li Jiatong 
Published: November 2023

Abstract
The centrifugal pump plays a key role in the ship water supply system, and cavitation is a common fault mode that leads to poor efficiency of centrifugal pumps. To select valid features as the criteria of cavitation fault diagnosis, we calculate RMS, peak factor, kurtosis factor, wave factor of raw data, and the data after empirical mode decomposition (EMD). Although the raw features can be obtained, they were still in a high-dimensional space and contain a lot of redundant information. So, Principal Component Analysis (PCA) method was used to decrease dimensions and extract sensitive features. As a case study, the data were obtained from a centrifugal pump fault simulation bench, and a variety of cavitation states were observed in the experiment. And a six-dimensional sensitive feature vector was determined through data analysis.
Wide-body aircraft fuel jettison system design and analysis
Authors: Gong Hao 
Published: November 2023

Abstract
In order to design the highly integrated fuel jettison system, the hydrodynamic performance design flow chart for the highly integrated fuel system has been proposed, and the 1-D fuel line network performance model has been developed. An innovative fuel jettison system for wide-body aircraft has been designed. The system performance has been simulated and analyzed. The results show that the proposed flow chart can be used for the highly integrated fuel system design, and the fuel jettison performance requirements can be met. The system parameters including the wing tank main pump characteristic, the flow area of the orifice set in the fuel line connecting the feeding line and the refueling line, and the flight height have significant effects on the fuel jettison performance. Besides, the aircraft total fuel jettison performance is also affected by the central tank override pump characteristic, the engine fuel consumption, and the flow resistance of fuel line network.
Reentry trajectory design of a hypersonic vehicle based on reinforcement learning
Authors: Das Partha P , Pei Wang , Niu Chenxi 
Published: November 2023

Abstract
In this research, we investigate control of a hypersonic vehicle (HV) following its reentry into the Earth’s atmosphere, using deep reinforcement learning (DRL) in a continuous space. Here, we incorporate the basic kinematic and force equations of motion for a vehicle in an atmospheric flight to formulate the reentry trajectory satisfying the boundary constraints and multiple mission related process constraints. The aerodynamic model of the vehicle emulates the properties of a common aero vehicle (CAV-H), while the atmospheric model of the Earth represents a standard model based on US Standard Atmosphere 1976, with significant simplification to the planetary model. In an unpowered flight, we then control the vehicle’s trajectory by perturbing its angle of attack and bank angle to achieve the desired objective, where the control problem is based on different actor-critic frameworks that utilize neural networks (NNs) as function approximators to select and evaluate the control actions in continuous state and action spaces. First, we train the model following each of the methods, that include on-policy proximal policy approximation (PPO) and off-policy twin delayed deterministic policy gradient (TD3). From the trajectory generated, we select a nominal trajectory for each algorithm that satisfies our mission requirements based on the reward model.
Research on safety issues and safety analysis of new energy aircraft
Authors: Chu Tang , Zhongyang Li , Libo Wang 
Published: November 2023

Abstract
As the global aviation industry faces increasing pressure on the environment, the International Civil Aviation Organization (ICAO) has implemented increasingly strict requirements for aircraft carbon emissions. The adoption of innovative energy technologies, such as electric power, hydrogen fuel, and sustainable biofuels in the aviation sector, will enable us to achieve zero carbon emission targets and mitigate environmental pollution associated with air transportation. Drawing on statistical data of aviation accidents, this paper analyses the primary causes of flight mishaps and summarizes several safety issues faced by new energy aircraft. Based on these, the new energy aircraft is divided into several subsystems, including power system, energy system, flight control system and so on. Then, safety analysis tools and methods are then used to conduct an analysis of the aircraft’s safety, with the aim of improving overall safety.
Body effect on inflow distortion in civil engine intake under crosswind condition
Authors: Li Yan , Chen Yingchun , Cheng Pan , Zhang Dongyun 
Published: November 2023

Abstract
The effect of body on the inlet aerodynamic performance of distortion under crosswind condition for a high pass ratio turbofan engine was investigated. The work is carried out by using computational fluid dynamics on civil nacelle and body. The investigation suggests that: due to the shelter of the body, the inlet distortion on the windward side and leeward side is very different under crosswind conditions. The nacelle on the windward side mainly takes in air from the side while the engine on the leeward side takes in air from above and below. The existence of body makes it easier to produce fuselage vortex and tail vortex near the nacelle. The body has an adverse impact on the intake of the engine on the leeward side and improves the requirement of the crosswind resistance of the upper section of the nacelle.
Numerical simulation of ply angle deviation and thermal deformation behavior of CFRP reflector
Authors: Jiang Wenjian , Jiang Hengkun , Huo Tonglong , Liang Yun 
Published: November 2023

Abstract
As we know, the ply angle deviation of Carbon Fiber Reinforced Polymer(CFRP) reflector is difficult to obtain accurately in engineering applications, it will make thermal deformation of reflector unpredictable due to the discreteness of ply angle. In this paper, based on constitutive relationships between generalized internal force and strain of laminated composite, a novel ply angle deviation model based on normal distribution is proposed. Furthermore, an orthogonal test was designed and significance analysis were carried out by means of a 2.6m aperture reflector with polygonal back structure. Assumed that the ply angle deviation obeys normal distribution, a number of samples were further randomly generated, and the sample mean and standard deviation of the thermal deformation of reflector were calculated. According to χ2-test of goodness of fit, the thermal deformation of reflector still follows normal distribution. Finally, an example was employed to verify the validity and effectiveness of the proposed method. The results reach a good agreement with the experimental data, thus it is capable of providing a promising prospect for engineering practice.
Simulation and analysis of delamination damage propagation in CFRP structures
Authors: Li Peiyuan , Cai Qiaoyan , Wang Fei , Zhang Tao , Tan Riming 
Published: November 2023

Abstract
For aerospace vehicles, composite materials are used in large-scale integral panels due to their excellent material properties. In the structure of vehicles, this kind of composite material panel is connected to the internal structure through fasteners. During the composite material molding process and the process of drilling connection holes, some local delamination sometimes occurs, this delamination is hardly detected in time, it can cause great damage to the compressive strength of the structure. In this paper, the ABAQUS/Explicit solver is introduced to analyze the progressive damage of interlaminar separation with cohesive elements, the accuracy difference between different damage modes with typical solvers is verified. Then based on the self-compiled three-dimensional Hashin failure criterion subroutine, the numerical simulation is carried out on the compressive strength of the composite laminate under different pre-delamination damage ranges, and the compressive strength of the single-fastener connection structure with pre-delamination, indicates the fiber damage, matrix damage and delamination damage, in order to explore its failure mode and residual strength law.