bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reconstructing Atiyah-Hitchin manifold in the generalized Legendre transform
Authors: Arai Masato , Baba Kurando , Ionaș Radu A. 
Published: December 2023

Abstract
We revisit the Atiyah-Hitchin manifold using the generalized Legendre transform approach. Originally it is examined by Ivanov and Roček, and it has been further explored by Ionaș, with a particular focus on calculating the explicit forms of the Kähler potential and the Kähler metric. Notably, there exists a distinction between the former study and the latter. In the framework of the generalized Legendre transform approach, a Kähler potential is formulated through the contour integration of a specific function with holomorphic coordinates. It’s essential to note that the choice of the contour in the latter differs from that in the former. This discrepancy in contour selection may result in variations in both the Kähler potential and, consequently, the Kähler metric. Our findings demonstrate that the former exclusively yields the real Kähler potential, aligning with its defined properties. In contrast, the latter produces a complex Kähler potential. We present the derivation of the Kähler potential and metric for the Atiyah-Hitchin manifold in terms of holomorphic coordinates, considering the contour specified by Ivanov and Roček.
Machine Learning Study through Physics-Informed Neural Networks: Analysis of the Stable Vortices in Quasi-Integrable Systems
Authors: Nakamula Atsushi , Obuse Kiori , Sawado Nobuyuki , Shimasaki Kohei , Toda Kouichi 
Published: December 2023

Abstract
Vortices in the nonlinear equations, including Zakharov-Kuznetsov (ZK) equation and the regularized long-wave (RLW) equation are studied. The Physics-Informed Neural Networks solve these equations in the forward process and obtain the solutions. In the inverse process, the proper equations can successfully be derived from a given training data. However, between the ZK equation and the RLW equation, sometimes serious misidentification occurs. In order to improve the resolution of the identification, we introduce two methods: a friction method and deformations of the initial profile which offers a nice discrimination of the equations.
Tunneling for a semi-classical magnetic Schrödinger operator with symmetries
Authors: Rouleux M 
Published: December 2023

Abstract
We are interested in decay estimates of the ground state (or the low energy eigenstates), outside the potential wells, for a semi-classical Magnetic Schrödinger operator with smooth coefficients PA
(x, hD

x
) = (hD

x
− µA(x))2 + V (x) on L
2(R

d
). We shall essentially consider the case where µ is large. This kind of estimates, in case of Schrödinger operator without a magnetic field, have been studied by Agmon [1], also in the case of a Riemannian manifold M. Agmon estimates hold true for any h, but are particularly useful in the limit h → 0 when studying tunneling.
Generalized time-dependent SIS Hamiltonian models: Exact solutions and quantum deformations
Authors: Fernández-Saiz Eduardo , Campoamor-Stursberg Rutwig , Herranz Francisco J 
Published: December 2023

Abstract
The theory of Lie–Hamilton systems is used to construct generalized time-dependent SIS epidemic Hamiltonians with a variable infection rate from the ‘book’ Lie algebra. Although these are characterized by a set of non-autonomous nonlinear and coupled differential equations, their corresponding exact solution is explicitly found. Moreover, the quantum deformation of the book algebra is also considered, from which the corresponding deformed SIS Hamiltonians are obtained and interpreted as perturbations in terms of the quantum deformation parameter of previously known SIS systems. The exact solutions for these deformed systems are also obtained.
A multi-objective segmentation scheduling method for the flexible dismantling of retired power batteries taking into account transfer time
Authors: Tian Peigen , Xiao Xi , Zhang Yi 
Published: December 2023

Abstract
Decommissioned power batteries are prone to dilapidated deformation, which makes it difficult to carry out unified and efficient production scheduling for disassembly production. In this paper, a multi-objective scheduling method applied to the dismantling workshop of retired power batteries is presented. For the characteristics of power battery dismantling, a strategy of scheduling by a battery pack and battery module in stages is proposed. The multi-objective optimal scheduling model of the dismantling workshop is established with the decision objectives of reducing the time of completion, energy dissipation and workstation load, taking into account the transfer time of batteries in the dismantling process, and is solved by genetic algorithm. The chromosome coding method, the crossover variation method and the elite retention strategy in the genetic algorithm were optimized. The method is applied to the dismantling examples of 5 kinds of power batteries, and the simulation results show that the proposed method is feasible and effective.
Structure design and implementation of a two-axis four-gimbal electro-optical pod
Authors: Zhang Haina , Xi Xiaopeng , Zhang Yong , Cui Ning , Liu Huanhuan 
Published: December 2023

Abstract
Multi-load, high stability and precision optoelectronic pods have become the development trend of pod technology applications. The two-axis four-gimbal electro-optical pod has the characteristics of high integration and stability. The research object of this project is a two-axis four-frame optoelectronic pod carried by helicopter. It can realize the transmission of active video and measurement control data through an airborne data chain. The system composition of the pod was introduced, and a mechanical structure model was established. To ensure rotational performance, a method for calculating the torque of the motor was provided, simulation of a main load-bearing structural part was conducted to ensure the structural strength. Finally, the stable accuracy was verified through testing. Design and analysis methods can provide some references for the design of two-axis four-frame pods.
A Study on Recorder Airworthiness Mechanical Properties of Airborne Data
Authors: Xu Xiaodong , Dai Zhehui , Zhu Jiechen , Wang Shumin , Bai Jun , Zhao Xiaoyu 
Published: December 2023

Abstract
Airborne data recorders were introduced, and the mechanical properties of airborne data recorders were investigated by using finite element analysis. Specifically, samples under static compression, transient impact, and random vibration were investigated, and a design of airborne data recorder that meets the requirements of airworthiness was proposed based on optimization. This study provides powerful technical support for general aviation safety development with the “combination of power management and delegation, with the main focus on power delegation”.
A data-driven UUV decision-making test strategy design method
Authors: Ma Chong , Zhang Haozheng 
Published: December 2023

Abstract
Based on the analysis of UUV control architecture and workflow, a data-driven test strategy design method was proposed to realize comprehensive online inspection of UUV, aiming at the requirements of full-process and full-function commissioning, system-level fault testing, single-step action of the actuator, software boundary testing, emergency control and fault-tolerant function verification of a certain UUV. At the same time, three types of typical faults of software, sensors and actuators are identified, and pseudo-random fault codes are injected into UUV control flow or information flow to realize the test verification of action continuity, function matching and control effectiveness under UUV operating conditions. The engineering application proves that the strategy has clear logic and comprehensive functional coverage, laying the foundation for improving UUV reliability and sailing safety.
The Design and Simulation of Engine Rotating Speed Modulation of Circuit
Authors: Li Xin , Wang Bo , Cui Mengying , Zhang Yue , Wei Chang , Qi Haijian 
Published: December 2023

Abstract
Since the amplitude and frequency of engine rotating speed signals are changed with the engine rotating speed, data cannot be directly collected due to the high-frequency noise. In this work, an engine rotating speed modulation of the circuit was designed. It was used to retain the complete information of positive and negative periods in signals and convert rotating speed signals to rectangular wave signals with certain amplitude at the same frequency, which could be directly collected. Further, in order to investigate the applicability of our design, a simulation test on the developed circuit based on Multisim was performed. This indicates that the raw signal with high-frequency interference, different amplitudes, and frequencies could be accurately and efficiently converted to regular rectangular wave signals. The design is characterized by a compact structure, low difficulty in device selection, high stability, and low power consumption, which is of extreme significance for accurate rotating speed data collection.
Online diagnosis of MVB termination fault based on expert system
Authors: Gong Haoran , Li Changxian , Sun Yijing 
Published: December 2023

Abstract
As a train communication technology, multifunction vehicle bus (MVB) plays a vital role in the transmission of control and monitoring data. However, the termination fault on MVB bus equipment often occurs, which leads to the increase of bit error rate and packet loss rate, and seriously affects the communication quality and stable operation of the train. The traditional off-line diagnosis method has poor timeliness. Therefore, this paper proposes and implements an online diagnosis method of MVB termination fault based on expert system. Firstly, the obtained physical waveform data is preprocessed, and then the waveform characteristics are extracted. Finally, the expert system algorithm is used for diagnosis, so as to quickly and accurately detect the MVB termination fault. The experimental platform was built for online fault diagnosis test. The experimental results show that the diagnosis method has high accuracy and reliability, which is conducive to improving the diagnosis efficiency.
Finite Element Analysis and Structural Optimization Research of New Energy Vehicle Battery Box
Authors: Yao Yini , Cheng Lin , Tao Yunlong 
Published: December 2023

Abstract
This study takes a new energy vehicle as the research object, establishing a three-dimensional model of the battery box based on CATIA software, importing it into ANSYS finite element software, defines its material properties, conducts grid division, and sets boundary conditions, and then conducts static and modal analysis to obtain the stress and deformation cloud maps of the battery box under three typical operating conditions, as well as the natural frequencies of the first 6 modes. Based on this, the ANSYS software’s topology optimization tool was utilized to successfully reduce the weight of the box by 6.8%. Following finite element analysis, the battery box’s performance satisfies the necessary standards in all aspects, demonstrating the viability of the lightweight solution.
Transmission Tower category Identification from Airborne LiDAR Point Clouds based on Shape Curve
Authors: Zhang Minghui , Su Xiao , Xu Huadong , Li Hongze , Wang Dexin 
Published: December 2023

Abstract
Using airborne LiDAR point cloud data to reconstruct the three-dimensional (3D) models of the transmission towers is crucial for ensuring power transmission safety. To enhance the models’ accuracy, knowing the tower categories is essential. However, there are few studies on the identification of tower categories at present. The existing studies have various shortcomings. Aiming at the problem of tower category identification in the application of airborne LiDAR point clouds in a smart grid, a transmission tower category identification method based on the shape curve is proposed. Firstly, a tower curve database is established based on relevant standards. Then, we employ three methods, namely dynamic time warping (DTW) distance, Hausdorff distance, and DTW-Hausdorff distance, to calculate the similarity indexes between the tower point cloud shape curves and those in the database. These indexes are used to determine the tower category. Finally, this method is tested using point clouds from transmission corridors. The experimental results show that the tower identification accuracy of DTW-Hausdorff distance is 94.0%. The tower category identification accuracy can reach 88.0%. The F-score used as the overall evaluation index of the tower identification effect is 90.9%. When employed as a similarity index, the tower identification effect is the best.
The Data Fusion and Semantic Segmentation Method Based on Multi-Sensor System
Authors: Huang Xiyao , Ouyang Yi , Yang Gang , Yu Mengxin , Li Ketao 
Published: December 2023

Abstract
The design and implementation of a prototype environmental perception system are introduced, which consists of the multi-camera, LiDAR, and IMU sensor. The processing steps of the environmental data collected by the multi-sensor platform include joint calibration, data fusion, and semantic segmentation. First, the optimization method based on the epipolar constraint is proposed for the joint calibration of the multi-camera and the LiDAR system. In the data fusion section, an improved data association method for the point cloud is proposed where the foreground segmentation method is used to reduce scale estimation error due to the scale-sudden-change. Finally, the semantic segmentation method based on the deep-learning is proposed. The convolutional neural network based on the Squeeze-and-Excitation Net is designed to identify and classify the point cloud data accurately. The physical simulation result shows that the system collects and identifies the environmental information accurately.
A Ship Fire Monitoring and Alarm System Based on A Distributed Configuration
Authors: Liu Pengfei 
Published: December 2023

Abstract
This article conducts innovative research based on distributed fire monitoring and alarm systems. It consistst of six FDS Control Panels, connected by a redundant Ethernet network, to ensure that all the FDS Control Panels can receive and transmit the relevant data. This connection is provided with redundant backup using a secondary channel of communication for use when the main channel is not working due to failure or cable damage.
Depth control of an unmanned underwater vehicle based on robust inversion and sliding mode variable structure control
Authors: Li Fengyun , Huang Shuang , Chen Yuanbao , Zeng Guanglong , Shi Leixin , Zhan Zihao 
Published: December 2023

Abstract
This paper addresses the depth control problem of an underactuated Unmanned Underwater Vehicle (UUV) subject to model uncertainties and ocean current interference. A robust inversion sliding mode variable structure control method is proposed. First, a vertical-plane UUV depth control model is established. Then, the inversion control method is combined with the sliding mode variable structure control method to devise an inversion sliding mode control algorithm. In order to further improve the control system’s robustness against external environmental interference, a robust control methodology is introduced for the design of the depth controller. Simulation results demonstrate that the designed controller effectively addresses the issues of model uncertainties and ocean current interference, thereby enhancing the UUV’s depth control accuracy.
Estimated impacts of forest restoration scenarios on smoke exposures among outdoor agricultural workers in California
Authors: Schollaert Claire L , Alvarado Ernesto , Baumgartner Jill , Isaksen Tania Busch , Jung Jihoon , Marlier Miriam E , Marshall Julian D , Masuda Yuta J , Tessum Christopher W , Wilkins Joseph , Spector June T 
Published: December 2023

Abstract
As wildfires continue to worsen across western United States, forest managers are increasingly employing prescribed burns as a way to reduce excess fuels and future wildfire risk. While the ecological benefits of these fuel treatments are clear, little is known about the smoke exposure tradeoffs of using prescribed burns to mitigate wildfires, particularly among at-risk populations. Outdoor agricultural workers are a population at increased risk of smoke exposure because of their time spent outside and the physical demands of their work. Here, we assess the smoke exposure impacts among outdoor agricultural workers resulting from the implementation of six forest management scenarios proposed for a landscape in the Central Sierra, California. We leverage emissions estimates from LANDIS-II to model daily PM2.5 concentrations with the Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) and link those to agricultural employment data from the Bureau of Labor Statistics. We find a u-shaped result, in that moderate amounts of prescribed burning result in the greatest reduction in total smoke exposure among outdoor agricultural workers, particularly during months of peak agricultural activity due to wildfire-specific smoke reductions. The reduction in total smoke exposure, relative to scenarios with the least amount of management, decreases as more prescribed burning is applied to the landscape due to the contributions of the fuel treatments themselves to overall smoke burden. The results of this analysis may contribute to preparedness efforts aimed at reducing smoke exposures among outdoor agricultural workers, while also informing forest management planning for this specific landscape.
Sharp decline of dust events induces regional wetting over arid and semi-arid Northwest China in the NCAR Community atmosphere model
Authors: Xie Xiaoning , Liu Xiaodong , Shi Zhengguo , Li Xinzhou , Xie Xiaoxun , Sun Hui , He Jianjun , Che Huizheng , Zhang Xiaoye , An Zhisheng , Wang Dié , Liu Yangang 
Published: December 2023

Abstract
Multiple lines of observational evidence have indicated a significant wetting over the arid and semi-arid Northwest China (NWC) during recent decades, coinciding with a simultaneous sharp decline of dust events. Although recent studies have attributed NWC wetting to different anthropogenic and natural forcings, the mechanisms are not definitive and the regional wetting has been greatly underestimated in the Coupled Model Intercomparison Project historical simulations. Based on sensitivity experiments with different dust emission amounts using the NCAR Community Atmospheric Model version 5 (CAM5), here we find that decreasing dusts exert significant impacts on mixed-phase clouds through reducing the concentration of ice nucleating particles, increase the NWC precipitation and thus induce regional wetting through enhancing convection precipitation. A possible convection invigoration mechanism whereby the atmospheric vertical temperature gradient and convective instability are strengthened by reduced dusts, leading to convection invigoration and increased precipitation. These results are reinforced by simulations over the dust region in North Africa where mixed-phase and ice clouds are rare and reduced dusts do not increase precipitation. This study highlights the possible mechanism of dust-ice cloud interactions in recent NWC wetting and future regional climate change.
Interannual relationship between the Asian–Pacific Oscillation and summer sea surface temperature in the North Atlantic
Authors: Li Yunxiao , Hua Wei , Luo Feifei , Zhu Lihua 
Published: December 2023

Abstract
Over the last two decades, there has been increasing interest in investigating the connection between the Asian-Pacific Oscillation (APO) and weather and climate on regional and global scales, but the impacts of the APO on sea surface temperature (SST) remains unclear. Using the multisource reanalysis dataset and observed SST data, we evaluated the interannual relationship between the APO and SST in the North Atlantic (NASST) during the period 1979–2016. The results show that there exists a statistically significant positive interannual relationship between APO and NASST and this connection can be attributed to the Rossby wave train that originates in Asia and propagates to Europe, which is triggered by the APO forcing. Further examination revealed that the cloud radiation, air–sea heat exchange and oceanic dynamic process induced by APO are crucial in modulating the interannual variability of the NASST. Additionally, the numerical simulation results from the linear baroclinic model also provide additional evidence for this linkage.
Ecojustice As an Embodiment of the Principle of Good Environmental Governance
Authors: Putrijanti Aju , Pinilih Sekar Anggun Gading 
Published: December 2023

Abstract
The Administrative Court is a judiciary body with the competence to exercise external control over government legal actions to protect the rights of a good and healthy environment. The research aims to know the role of the Administrative Court in giving ecojustice and the embodiment of principles of good environmental governance. This is normative legal research using primary and secondary data. Judge verdict in Administrative Court decides dispute concerning environmental permission was based on environmental purposes and principles of good environmental governance. The principle of society participation has been implemented in some municipalities; it can be seen in the local regulations made by the Regent or Mayor. Although it was not perfectly executed, it was still a step forward in local government. Obstacles arise from the need for more knowledge and awareness about environmental protection and system of management by the officer and society.
Measuring the Policy of Public Information Disclosure to Adapt Climate Change in Indonesia
Authors: Wibawa Kadek Cahya Susila , Saraswati Retno , Ispriyarso Budi 
Published: December 2023

Abstract
Marginal groups, such as local communities living near forests, expansive coastal areas, and women with limited access to water and energy, are the most vulnerable to climate change. Numerous things can be done to overcome that issue, one of which is by openly distributing information regarding climate change adaptation action plans. This study proposes to elucidate that the NDC document serves as public information and to describe the interrelation between Public Information Disclosure and the optimal realization of Indonesia’s climate change action goals. This qualitative study was a doctrinal legal research and employed a statute and conceptual approaches. The findings demonstrate that the NDC document qualifies as public information, necessitating its continuous disclosure and accessibility. The transparency of public information regarding climate change is crucial for achieving climate justice and facilitating climate change adaptation.
Community Participation in The Management of Kelimutu National Park, Ende, Flores
Authors: Tadeus D W , Wihelmus B V , Latuan J J 
Published: December 2023

Abstract
The Kelimutu National Garden Forest is renowned for its rich natural resources, which encompass the captivating Three-Coloured Lake Kelimutu, a geothermal hotspot, and a diverse array of flora and fauna. The optimal utilization of these specific resources requires meticulous management to generate foreign exchange for the state and enhance social conditions in the region. This study aims to examine the sustainable forest management system outlined in Act No. 41/1999 on forests. However, a significant challenge arises concerning the involvement of the local community residing in the border forest area, as their adherence to tribal rituals poses a substantial obstacle to the effective implementation of the forest management system in Kelimutu. Thus, acquiring a comprehensive understanding of the surrounding society becomes imperative for the successful management of the border forest area. Lastly, a recommended approach for Balai Taman Nasional Kelimutu is to foster collaboration with the local community, capitalizing on their strengths and resources.