bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards cosmology with void lensing: how to find voids sensitive to weak-lensing and numerically interpret them
Authors: Boschetti Renan , Vielzeuf Pauline , Cousinou Marie-Claude , Escoffier Stephanie , Jullo Eric 
Published: June 2024

Abstract
In this work, we present a study of the void lensing signal or the excess surface mass
density (ESMD) around cosmic voids. First, we propose a new void-finder algorithm that is designed
to capture the ESMD around voids. We compare our algorithm applied to projected slices with the
ZOBOV void finder and find significantly deeper weak-lensing profiles for voids defined
by our algorithm in the context of a realistic galaxy mock. Then we test the consistency between
the measurements of the ESMD as measured through the shear of background galaxies and directly
calculated through the dark matter density profiles of the same voids. We found inconsistencies
for voids with diameter ≥ 100h
-1Mpc along the line-of-sight, but the consistency
holds for smaller voids, meaning that we are indeed probing the underlying dark matter field by
measuring the shear around these voids. Moreover, we show that voids found in the projected
slices, which are highly sensitive to lensing, are correlated to 3D voids exhibiting intrinsic
alignments between them.
Evaluation of Performance of Cotton Fiber Reinforced Epoxy Composites
Authors: Wankhede Bipin , Dakre Vinayak Sanjay , Bodhankar Dinesh , Kamble Ashish 
Published: June 2024

Abstract
This experimental study explored the impact of varying weight proportions (5%, 10%, 15%, and 20%) of cotton fiber reinforcement in epoxy composites on compressive strength, Charpy impact strength, and water absorption characteristics. Concurrently, the interfacial properties were examined using Scanning Electron Microscopy (SEM). The inclusion of 15 wt.% cotton fiber notably enhanced compressive strength, displaying consistent improvement as cotton content increased until reaching 15 wt.%. Beyond this point, further increases yielded diminishing enhancements in compressive properties. EC20 demonstrated superior impact strength and energy absorption. Increased cotton concentrations improved impact properties due to the fibrous nature of cotton, enhancing energy dissipation and crack resistance within the epoxy matrix. Higher cotton content correlated with increased water absorption, aligning with cotton’s hydrophilic properties. The EC20 composite exhibited heightened water uptake and permeability, indicating the influence of elevated cotton concentrations. SEM analysis of fracture surfaces identified crucial features such as fiber pull-out, matrix cracking, interfacial debonding, and surface irregularities. These findings contribute significantly to understanding the inherent failure mechanisms in these composite materials.
Optimizing Factors affecting gas porosity in GDC of Al-Si (A356) Alloy using Taguchi’s DOE
Authors: Meshram Atul N. , Raut D. N. 
Published: June 2024

Abstract
Aluminium alloys find extensive use in various applications because of its advantage of strength-to-weight ratio,. However, the casting process introduces susceptibility to defects, and managing all parameters proves to be a complex task. Casting rejections often stem from one or more defects, with mold parameters, filling, and solidification processes being key contributors. When the molten metal of the Al-Si (A356) alloy is exposed to the atmosphere in a holding furnace, it develops an oxide layer on its surface. Turbulence in the molten metal leads to the formation of a double oxide layer, also known as bifilms. Gas entrainment occurs due to the turbulent movement of metal, resulting in the entrapment of gas in the molten metal and ultimately causing gas porosity in the final casting. Gas entrapment during the filling process leads to gas porosities during the solidification phase.
This study aims to comprehend the factors influencing the formation of gas entrapment during the casting of the aluminium alloy Al-Si (A356). The experimental investigation utilizes Taguchi’s Design of Experiments (DOE) to explore the impacts of parameters such as pouring temperature (PoT), degassing time (DgT), and volume in the holding furnace (VoH) on the formation of gas porosity in casting [8].
An experimental setup was created to produce tensile test rods and reduced pressure test (RPT) samples. The results were validated using the mechanical properties of the tensile test samples and the density of the Reduced Pressure Test (RPT) samples. Better the mechanical properties, fewer will be the defects in castings. Taguchi’s DOE is applied to analyse the results. The experimental findings indicate that a pouring temperature at level 1 (710°C), degassing time at level 1 (10 minutes), and volume in the holding furnace at level 1 (>450 kg) yield favourable castings. Confirmatory tests were conducted to validate the results, and they aligned with the experimental data.
Non-invasive Blood Glucose Monitoring System
Authors: Bhajane Karan , Thengane Pratik , Mahale Rohan , rajurkar Sahil , Patil Swati , Patil Wani 
Published: June 2024

Abstract
The project presents a novel approach to blood glucose monitoring, offering a non-invasive and pain-free method for individuals with diabetes to track their glucose levels. The system utilizes advanced sensor technology coupled with signal processing techniques to detect glucose levels in the body without the need for traditional needle pricking. The key components of the system include a power supply, voltage regulator, ESP32 microcontroller, LCD display, photo sensor, amplifier circuit, and linearization circuit, all seamlessly integrated to provide accurate and real-time glucose readings. This breakthrough technology holds great promise in revolutionizing diabetes management, enhancing the quality of life for millions of affected individuals.
By placing the sensor on the individual’s hand, the Glucometer system employs a combination of photonic and electronic principles to non-invasively measure glucose levels. The photo sensor captures specific wavelengths of light that interact with glucose molecules within the tissue, generating a signal proportional to the glucose concentration. This signal is then amplified and processed through the integrated circuits, ensuring accurate linearization and calibration. The ESP32 microcontroller orchestrates these operations, facilitating seamless communication with the LCD display to present the glucose reading in a clear and user-friendly format.
The Glucometer’s innovative design eliminates the discomfort associated with traditional blood sampling methods, making it a highly accessible and convenient tool for diabetes management. The system’s efficiency in providing accurate glucose readings without the need for invasive procedures represents a significant advancement in healthcare technology. With further development and refinement, the Glucometer holds the potential to significantly enhance the daily lives of individuals living with diabetes, offering a reliable and painless means of monitoring blood glucose levels.
Review of Rotating System for Closing Die of Steel Wires Stranding Machine
Authors: Salunkhe Himmat , Shelke Rupesh , Khalatkar Abhay 
Published: June 2024

Abstract
The stranding machine utilized for armouring of all electric cables, electric wiring, mechanical motion control cables, clutch wire, wire ropes and structural components or communication cable. It uses for shielding on a cable, tube or liner. This machine is used in industrial apparatus in producing of electric wire and electric cable. It’s a device to manufacturing of mechanical motion control cables, clutch wire and wire ropes. In this paper, we review the development of rotating system for closing die of the stranding machine. We have investigated the problems solutions like undesired tube is rotation so inner jam problem, tube twist problem, poor surface finish and poor stranding quality so the methods of the current machine to be adopted to resolve the problem. The study result into elimination of inner jamming and twisting of tube which Improve the in quality and surface finish of cable and reduce wastages orlosses.
Discussions on application of differential quadrature method for structural free vibration problems
Authors: Vanjari Y P , Patil R B , Saraf S P , Patil M A 
Published: June 2024

Abstract
A thorough examination of the use of the differential quadrature method has been presented, including an analysis of the weighting coefficient, several methods for implementing the boundary conditions, and the ultimate advantages it offers compared to other numerical techniques. The authors have detailed the technical techniques involved in this study, including the discretization of the computational domain, the generation of mass, damping, and stiffness matrices, and the subsequent partitioning of these matrices into submatrices. Exemplifications have been given for the differential quadrature (DQ) approaches that meet the clamped-spring support boundary requirement. This study on the principles of the differential quadrature technique will provide valuable insights for a research scholar, novice researcher, and academician in the field of computation.
Size optimization design of the driving shaft of the track robot
Authors: Wang Jinghua , Huang Jiangnan , Wang Chen 
Published: June 2024

Abstract
In the traditional mechanical design, the design of the drive shaft of the tracked robot requires a certain amount of engineering and practical experience, rather than based on scientific analysis and calculation, resulting in conservative design, long design cycle, and poor reusability. A response surface optimization design method was proposed, and the influence of multiple design variables on the performance of the drive shaft was investigated by a central composite experiment. The least square method was used to fit the approximate points, and the response surface model of the design variables and the performance of the drive shaft was established. The optimal size of the shaft diameter of each drive shaft was solved by a multi-objective genetic algorithm, and finally, three groups of optimization schemes were obtained. After optimization, the maximum equivalent stress, the maximum deformation, and the weight of the drive shaft are improved.
Investigation of the profile of the blade considering machining vibration based on finite element analysis
Authors: Hou Junming , Wang Baosheng , Lv Dongsheng 
Published: June 2024

Abstract
Vibration is a problem that is easy to occur in the manufacturing process of thin-walled parts such as blades. Through the analysis of modal test results, the role of tool response and blade response in machining vibration is analyzed. With the aid of finite element simulation, the effects of damping ratio, cutting force peak, and force exciting position on the amplitude of response displacement are studied. The profile error caused by the machining vibration is simulated and the peak value of the response displacement amplitude is experimentally verified.
Research on the combustion organization mechanism of synchronized injection in the upstream and downstream of the cavity in scramjet
Authors: Li Chang , Li Qing , Jin Yuxiang , Yin Tianhao 
Published: June 2024

Abstract
This investigation presents experimental study on the synchronized fuel injection scheme of the upstream and downstream in cavity under the supersonic inflow condition of Mach 2.92, revealing the combustion organization mechanism of the synchronized injection in the scramjet. The results show that under the same global equivalence ratio, synchronized injection in the upstream and downstream of the cavity plays an important role in reducing ignition delay, combustion oscillation, and improving flame stability. The combustion of the downstream jet can promote the combustion inside the cavity, especially at the rear edge of the cavity, while the upstream jet can provide a large amount of high-temperature products and free radicals for the downstream jet, greatly promoting the combustion process of the downstream jet.
Fault-tolerant control of bullet train based on fuzzy adaptive control
Authors: Wei Xiaochun , Li Maoqing , Wang Zhongsen 
Published: June 2024

Abstract
For the trajectory tracking problem of a single-particle train dynamics model under the condition of partial loss of power in the train power unit due to actuator failure during the operation of the EMU, considering the situation where the system exists with uncertain dynamics from the model and unknown external disturbers, a control method based on fuzzy adaptive fault-tolerant control method for EMU is proposed. Under the framework of the backstepping method, the fuzzy system is used to approach the system function, and a fuzzy adaptive controller is designed. It is proved that the designed control law can enable the train system to track the given speed and displacement trajectory under partial power loss. Using the CRH3 train as the research object, the results show that the designed controller can complete the trajectory tracking control task.
Aircraft type recognition based on YOLOv8
Authors: Lei Chunyue , Zeng Jingsheng , Xia Yuming , Pang Fengqian 
Published: June 2024

Abstract
The field of aircraft type recognition has a broad range of applications. This technology serves as a valuable tool for airlines and airports in the scheduling and maintenance of aircraft. Furthermore, it provides crucial support to aviation regulatory authorities in their efforts to ensure safety in aviation. However, the task of recognizing aircraft types in real-world scenarios presents a significant challenge due to the subtle differences between various aircraft. Moreover, practical applications need real-time detection of aircraft type. To address these issues, this paper introduces the YOLOv8 object detector and investigates the performance of five different versions of YOLOv8 in the context of aircraft type recognition, to identify the most suitable model for this task. Experimental results on the Military Aircraft Detection Dataset demonstrate that the YOLOv8l model outperforms the others, achieving the highest performance with a COCO AP score of 84.2.
Depth control of bionic robotic fish based on fuzzy PID algorithm
Authors: Chen Kun , Wang Yang , Fu Yong , Wang Huitan 
Published: June 2024

Abstract
This paper proposes a staged depth control method based on fuzzy PID control to improve the execution of various underwater tasks by robotic fish in pectoral and caudal fin co-propulsion modes in complex underwater environments. The method obtains appropriate PID parameters and regulates the corresponding CPG models by introducing a fuzzy controller into the PID control framework. The method follows the fuzzification, fuzzy rule setting, and defuzzification steps. During the approach phase, the robotic fish adjusts the amplitude and offset of its pectoral fin. In the cruise phase, it adjusts the angle of attack of the pectoral fin to achieve staged depth control. Simulation and analysis results indicate that the staged fuzzy PID control is more effective than pure fuzzy control and PID control. It reduces delay time by 38.5% and 59.4%, optimizes rise time by 31.1% and 44.1%, reduces peak time by 49.7% and 44.6%, and reduces steady-state error by 42.4% and 76.6%. Therefore, the staged fuzzy PID control provides a faster response and greater stability, making it an effective method for depth control of underwater robots.
Research on the temperature measurement point selection technology for multi-degree-of-freedom thermal error compensation of lathe spindle
Authors: Chen Cheng , Yin Ling , Huang Yubing , Zhang Lijuan , Zhang Fei 
Published: June 2024

Abstract
In order to solve the problem of difficulty in selecting temperature measurement points caused by the inconsistent axial and radial thermal deformation trends of CNC lathes, a multi-degree-of-freedom joint point selection method is proposed. The Ant Colony Optimization (ACO) algorithm is employed to identify a combination of temperature measurement points. Based on this combination, thermal errors in both directions are modeled, with modeling accuracy serving as the condition for updating ant pheromones. The process iterates until the optimal temperature measurement point combination is determined. Experimental results demonstrate that the temperature measurement points selected using this method exhibit significantly improved fitting accuracy and stability for various operating conditions compared to traditional point selection methods.
Process hyper-relation knowledge graph construction and application
Authors: Lv Yang , Wang Peiyan , Ji Guiyang , Wang Libang 
Published: June 2024

Abstract
A knowledge graph enables the structured representation of process knowledge. Traditional knowledge graphs typically represent process fact knowledge by depicting relations between entities. However, higher-order knowledge, such as causality, coupling, and rationale among process facts, should be addressed. The Process Hyper-relational knowledge graph (PHKG) was proposed to address these shortcomings. It comprises three layers: a concept layer representing process concept knowledge, an instance layer representing process fact knowledge, and a hyper-relationship layer representing higher-order knowledge linking process facts. Employing a semi-automatic construction method, a hyper-relation knowledge graph was created with 1, 602 entities, 2, 509 entity relationships, and 231 pairs of hyper-relationships. A process knowledge reasoning algorithm has also been developed to enable applications to reason about process knowledge.
A speed decoupling control method for multi-channel pressure-flow coupling system
Authors: Zhang Junhua , Wang Wei , Fu Ling , Liu Yanbin , Yin Li , Wu Bin 
Published: June 2024

Abstract
The main engine of construction machinery often involves the compound action of multi-action, such as excavator bucket rod, shovel bucket, and moving arm. Due to the matching relationship between the constant pressure differential valve and main valve, constant power limitation of a pump, load change, and other factors, it will cause the load with low pressure to move first and the load with high pressure to move later. To solve this problem, the existing speed control (or flow control) in the industry generally adopts pre-valve or post-valve compensation load-sensitive systems, positive flow control, negative flow control, constant power control, and so on. The speed control method can solve the coarse flow distribution under multi-load conditions, but is not suitable for working conditions with high precision of flow control or flow distribution, such as speed tracking, trajectory control, etc., and cannot meet the accurate control of flow or speed. In this paper, a speed decoupling control method based on hydraulic factors (such as pressure drop, flow rate, oil temperature, hydraulic pump speed, system pressure, etc.) is proposed. Through accurate modeling and simulation technology, the accuracy of compound action flow control is improved, and the anti-interference energy of the compound action system is enhanced, which lays a foundation for hydraulic speed tracking, displacement tracking, and so on.
A thermoelectric material suitable for early warning of thermal runaway for energy storage batteries: monolayer GeP3
Authors: Li Bowen , Zhao Guangjin , Li Yamin , Dong Ruifeng , Wang Yachen , Du Xueping 
Published: June 2024

Abstract
Early warning of thermal runaway is one of the most important means to improve the safety performance of energy storage batteries. This paper proposes a new scheme for thermal runaway safety early warning of energy storage batteries by thermoelectric sensing device with the monolayer GeP3 (ML_GeP3) severing as the thermoelectric materials. The results indicate that ML_GeP3 shows great stability in different ambient temperatures and an outstanding sensitivity to ∆T. In addition, experimental studies show that stress variation (transverse stretching, longitudinal stretching, and bending) weakens the thermoelectric properties of thermoelectric materials. In conclusion, ML_GeP3 is a thermoelectric material for use in early warning of thermal runaway for energy storage batteries, and it can significantly improve the safety of energy storage stations.
Real-time energy management strategy of the hydrogen-coupled microgrid based on Informer model prediction results and deep reinforcement learning
Authors: Weng Hongda , Li Jianwei 
Published: June 2024

Abstract
Microgrids (MG) powered by emerging distributed energy resources (DERs) are increasingly pivotal in driving the decarbonization of the power system. Due to the uncertainty of renewable energy sources, electricity generated from wind and solar is typically stored, either in batteries or in the form of high-pressure hydrogen gas within hydrogen storage tanks to meet the refuelling requirements of fuel cell vehicles (FCVs). For FCVs, the substantial operational expenses associated with hydrogen refuelling stations pose a significant barrier to their widespread adoption, with a notable portion of these costs attributed to hydrogen transportation. To address this challenge, this paper employs the Informer model based on a transformer for day-ahead prediction of photovoltaic power generation, as well as load demand forecasting. Subsequently, the Twin-delayed deep deterministic (TD3) policy gradient algorithm is used for real-time energy management of the microgrid. While ensuring that the State of Charge (SOC) remains above 45% daily to meet future hydrogen demands, the MG pursues an optimal strategy to minimize the total daily cost, including electricity procurement, carbon emissions and equipment degradation. Compared to outcomes derived from rule-based approaches, the algorithm introduced in this paper minimizes solar waste and equipment degradation, facilitating hydrogen production during low-cost electricity periods and enhancing economic feasibility.
Research on optimization and improvement method of new energy access grid stability based on transient stability margin index
Authors: Wang Kun , Zhao Tianzhi , Zhang Guangjun , Zhang Yu , Liu Jingchun , Zheng Hui , Wang Yuhang 
Published: June 2024

Abstract
This paper focuses on the potential local voltage stability risks and transient stability margin decline in the power grid after the large-scale integration of new energy. Based on the transient stability margin index of the power grid, a method for evaluating and optimizing the transient stability margin after the integration of wind power into the power grid is proposed. This paper provides guidance for the grid connection points and voltage level determination of the wind power access system during the planning phase, as well as the configuration of reactive power compensation devices such as SVGs.