2024 International Conference on Materials, Chemistry, and Computer Science
ISBN: 978-1-965471-01-2
Editorial Team : Laura Brown
The 2024 International Conference on Materials Chemistry and Computer Science is about to convene, bringing together global elites to explore the frontiers of scientific research. The conference covers three major areas: material innovation, chemical progress, and computer science, focusing on the latest research results and technological breakthroughs. Through keynote speeches, panel discussions and other forms to promote interdisciplinary exchanges and stimulate innovative thinking. Participants will share academic feast, expand cooperation network, and jointly promote technological progress and industrial development.
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P1
The Elevation Effect of Vibration Induced by Pneumatic Rock Breaking with Carbon Dioxide Ice Powder
Author: Chen Li, Qiang Zhang, Lingzhi Xi, Huai Yang
1,6
Abstract: In traditional explosive blasting, the elevation amplification effect is an important aspect that cannot be ignored in the study of vibration disasters. Compared with this type of vibration, the elevation amplification effect of vibration induced by pneumatic rock breaking with carbon dioxide ice pow-der was explored through on-site vibration monitoring experiments. The results showed peak particle velocity increased when the sensor was higher than the vibration source, indicating that vibration...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P7
Non-targeted metabolomic analysis of lotus leaf and lotus seed wine
Author: Keyi Liu, Bin Zhang, Yingying Zheng, Liehua Zhang, Yangyang Wang, Fangqi Zhang, Piwu Li
7,14
Abstract: Non-targeted metabolomics was used to analyze the active substances in Lotus Leaf and Lotus Seed Liquor to study their types and distribution characteristics, and to screen characteristic markers used to distinguish Lotus Leaf and Lotus Seed Liquor. The results showed that through analysis and screening, a total of 198 metabolically active substances were identified in the wine samples. A total of 74 differential metabolites were found in lotus leaf lotus seed wine and ordinary liquor base ...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P15
Thermal stability of the DPT reaction system synthesized by acetic anhydride method
Author: Zhi Wang, Shaohua Jin, Guanghui Gu, Xinping Zhao, Yulin Wei, Zhiyan Lu, Kun Chen, Shusen Chen
15,25
Abstract: The adiabatic decomposition of a reaction mixture prepared in DPT using the acetic anhydride method was analyzed using an Accelerating Rate Calorimeter (ARC) to determine the thermal decomposition characteristics and kinetic parameters of the reaction solution at different reaction times. The adiabatic decomposition kinetics were modeled using TSS software, and the corresponding kinetic parameters were derived. Subsequently, a numerical simulation was employed to predict the critical ambien...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P26
Cell PCI Assignment Method Based on Particle Swarm Optimization
Author: Xiaochen Yan, Zelong Gao, Qian Zhong, Xingyu Liang
26,31
Abstract: In order to streamline PCI allocation within cells for diminished conflicts, interferences, and complexities, an innovative methodology is introduced. A novel approach employing Particle Swarm Optimization (PSO) is employed to gauge and enhance cellular performance in wireless communications. We developed a comprehensive database for 2067 active cells along with their collision, interference, and confusion matrices. Utilizing regression tree models to analyze the influence of PCI configurat...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P32
Analysis of the effect of probe structure on sampling accuracy in supersonic airflow
Author: Yingtao Chen, Wanlin Zhang, Pengpeng Sha, Xinlong Yang
32,42
Abstract: The accuracy of the sampling of the gas components has a significant impact on the measurement of various performance parameters in the combustion chamber of an aero-engine. This paper examines the accuracy of a six-point gas sampling probe when used in supersonic airflow. A numerical simulation method of component transport and fluid-solid coupling is employed to construct a three-dimensional probe multi-component gas flow characteristic solution model. Three kinds of probes with 28°, 30° and 3...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P43
Development and Application of Calibration Device for Fluorescence Quantitative PCR Analyzer
Author: Songlin Yu, Yun Tian, Zhe Wang, Qiangguang Li, Xiaodan Wang
43,48
Abstract: This paper proposes a PWM-based light intensity modulation method, and develops a calibration device for fluorescence quantitative polymerase chain reaction (PCR) analyzer. To verify the performance of this calibration device, a temperature calibration system composed of isothermal block, standard platinum resistance thermometer, and thermostatic bath was employed in experimental measurements. Results showed that the absolute value of the indication errors did not exceed 0.05°C, and the uni...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P49
The utility model relates to an L-band slot antenna conformal with a submarine cable
Author: Youzhi Liu, Linshu Huang, Hongke Li
49,56
Abstract: In order to better receive Beidou satellite signals on ships, miniaturized antennas are becoming more and more important. To solve the problem of antenna miniaturization, this paper proposes a novel back cavity slot antenna (CBSA) in conformation with submarine cable. The slot antenna works in the L-band of BDS, adopts parasitic patch structure, and uses HFSS electromagnetic simulation software for simulation and analysis. Results The maximum electric field intensity between the gaps on the...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P57
Study on the Effect of XYPEX Admixture on the Performance of Panel Concrete and Microscopic Mechanism
Author: Tao Wang, Xifeng Ma, Xifeng Ma, Yue Ma, Haiyong Xiong, Xiaobo Zhang, Haibo Zhu
57,65
Abstract: The influence of different XYPEX content on the performance of dam panel concrete was studied through laboratory tests. The test results show that a certain amount of XYPEX can improve the compressive strength and impermeability of panel concrete. According to the scanning electron microscope photos, XYPEX admixture has a good filling effect on the internal pores of concrete in the microstructure, and the macro performance is improved for impermeability, but the effect on the visible cracks...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P66
Study on Wetting Deformation Characteristics of Damming Materials under Triaxial Compression
Author: Zhanying Yang, Xifeng Ma, Yue Ma, Haiyong Xiong, Xiaobo Zhang, Haibo Zhu
66,74
Abstract: The wetting deformation of dam material will lead to uneven settlement of dam body, which will harm dam safety. A large static triaxial test instrument was used to conduct a single line triaxial compression humidification test on dam material in the main rockfill area of a power station. The humidification deformation rule and its relationship with confining pressure and stress level were analyzed. The experimental results show that the wetting axial strain is inversely proportional to the ...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P75
OBSU: a deep-learning seismic phase picker for OBS data using transfer learning and Unet
Author: Yi Xie, Yongming Huang
75,81
Abstract: Seismic phase identification and ariivals picking are two essential steps in the processing of seismic monitoring data. We propose OBSU, a transfer learning and Unet-based seismic phase picker for ocean earthquakes with multimodal inputs, using the land seismic dataset INSTANCE for pre-training to enhance performance. We test it using the ocean bottom seismometer (OBS) dataset and achieve mean absolute deviations of 0.17 s and 0.23 s for P-wave and S-wave, respectively. Meanwhile, the model...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P82
Strength Prediction in UHPC with XGBoost Model and Shapley Algorithm Interpretation
Author: Guanzhong Wu, Hairui Gou, Qingzhao Ren, Ran Tang, Peng Feng
82,87
Abstract: This study employs the XGBoost regression model to predict the strength of UHPC and utilizes the Shapley algorithm to interpret the model's predictions, revealing the impact of various feature parameters. The results demonstrate that the XGBoost regression model effectively fits the data and possesses strong predictive capabilities. Furthermore, the interaction between silica fume and cement significantly influences the model predictions. Additionally, using tools such as the Shapley heatma...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P88
Research on the vertical compressive bearing characteristics of offshore wind power steel pipe piles
Author: Shengjie Di, Pengfei Qu, Xiangyang Hu, Ying Zhang, Mingyuan Wang
88,95
Abstract: In the absence of a comparison of static load test results for large-diameter steel pipe piles at home and abroad, optimize the design parameters based on the test pile results to guide later construction. This paper is based on the pile foundation design calculation method of API specification, as well as the relationship between the t-z, Q-z, p-y curve modes suggested by this specification, vertical ultimate bearing capacity, and stratum parameters. The conclusions and results obtained ar...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P96
Applied Research on Interactive 3D Virtual Environment Design for Supporting Interior Refurbishment
Author: Tianlun Yang, Georgios Kapogiannis, Byung-Gyoo Kang, Zuyao Wang, Zhenyu Hu, Yanhui Wu, Anhai Yao
96,103
Abstract: Building interior design based on 2D diagrams and renderings will cause clients lack of understandings, which will lead to poor information coordination, thus the quality and efficiencies of decision-making will be affected, therefore, a new method need to be proposed for filling this gap. This research has studied the theories of interaction design and has explored the methods of interaction technologies base on the information demand in interior design projects to propose a workflow for d...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P104
Determination of Gauss-Krüger Projection Parameters with Minimizing Maximum Projection Deformation for Large-Scale Engineering
Author: Zufeng Li, Wenjun Zhao, Haixing Shang, Zhongwei Liu, Mingbo Liu, Fu Xu, Siyuan Chen
104,111
Abstract: Currently, engineering construction is placing increasing demands on the accuracy of engineering measurement. Projection deformation has a significant effect on engineering measurement accuracy, representing a significant challenge in the field of high-precision measurement. In the case of Gauss-Krüger projection of arbitrary zone, setting the projection reference position in the center of the survey area will not necessarily guarantee the minimum possible projection deformation. This artic...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P112
Crash Risk Monitoring Method for Highways in Rain Conditions
Author: Minggang Liu, Jiuping He, Shiyu Liu, Feng Zou
112,116
Abstract: The slick road surface during rainy days necessitates an increased braking distance, posing prominent safety hazards for driving. Consequently, this paper researched on the monitoring method of collision risk posture of highway in rainy days. The impact of rain on the driving risk of vehicles is mainly the braking distance. In this paper, the ratio μ, defined as the quotient of stopping sight distance (St) and the spacing (Sr) between the front of a trailing vehicle and the rear of a leadin...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P117
A Research on Evaluating General Design of Ultra-long Tunnel Based on Pareto-optimal Weight
Author: Wenbo Peng, Yanzi Xia, Baodong Miao, Yuhan Nie, Chi Zhang, Jun Zhang
117,122
Abstract: In tunnel engineering, the choice of general design scheme critically impacts safety, economy, and sustainability. To optimize this for ultra-long tunnels, a Pareto optimal weight-based evaluation system was developed. It encompasses design elements, construction conditions, operation risks, and economic impacts. A multi-expert decision matrix using binary language structure was built, and a three-objective Pareto model determined optimal weights. Evaluation cloud maps were generated to com...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P123
Progress on the brewing process of mead and its flavour components
Author: Fangyuan Deng, Delin Han, Jianghua Zhao, Huiquan liu
123,126
Abstract: Mead is a traditional fermented alcoholic beverage made from yeast fermented through a diluted honey mash. Due to the cost of production and the long lead time it takes to make it, it is generally only produced in homes or small workshops, and can be differentiated according to the degree of dilution of the honey mash and the type of fruits that are added to it during the fermentation process. Due to the richness of honey's natural substances, it has become increasingly popular in recent ye...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P127
A Highway Monitoring Necessity Grading Method Considering Traffic State Stability
Author: Guomin Xu, Shencheng Yang, Wei Zhou, Ziyao Ning, Haiyun Zou
127,131
Abstract: In order to meet the basic requirements of expressway operation and maintenance management in the new era,refine the monitoring requirements of different expressway sections,and maximize the operation benefit of expressway monitoring system,this paper puts forward the stability of traffic state related to overtaking frequency,speed difference and traffic fluctuation at the entrance and exit,and obtains the grading detection method of expressway through entropy method and global Moran index,...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P132
Inference Method for Abnormal Traffic Events in Highway Monitoring Blind Spots
Author: Guomin Xu, Sibo Zhang, Yuxuan Han, Yi Lin, Feng Xiao
132,136
Abstract: Highway monitoring is critical for traffic safety and efficiency. However, monitoring blind spots—areas between surveillance points—poses significant challenges. This study proposes an inference method to detect abnormal traffic events in highway blind spots by analyzing vehicle counts from adjacent monitored regions. Utilizing Vissim and LumenRT for simulation, we create realistic highway scenarios to collect time series data. Cross-correlation is used to determine the time lag between veh...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P137
The method for evaluating the coverage rate of roadside monitoring cameras in road areas
Author: Wendan Yuan, Ziyao Ning, Zhitong Liu, Shencheng Yang, Haiyun Zou
137,142
Abstract: Accurately assessing the coverage rate of roadside monitoring cameras in road areas is crucial for intelligent transportation systems and road risk assessment. This paper presents a new method that uses Carsim software to simulate different camera tilt angles and road geometry conditions to evaluate the coverage area of roadside monitoring cameras. By adjusting the camera tilt angles and the curve radius of the road, the coverage effect under different conditions is analyzed, and affine tra...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P143
Temperature Maintenance of Proton Exchange Membrane Fuel Cell System Based on Genetic Algorithm
Author: Jianhua Jin, Xiaochun Xia, Yuchao Shi, Zhaoshun Wu, Xingyi Chen, Wenxuan Zhang
143,149
Abstract: Temperature is one of the main factors affecting proton exchange membrane fuel cells(PEMFC). In severe cold conditions, when equipment with PEMFCs is shut down for a short period of time, the battery temperature will drop to below zero degrees Celsius. Under this condition, the generation of ice will increase the battery start-up time, and cold start of PEMFC often requires additional heat sources. At the same time, repeated cold starts will seriously reduce the lifespan of proton exchange ...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P150
Short-wave communication link prediction algorithm based on deep learning
Author: Jingyi She, Zhigang Zhang, Guocheng Yin
150,156
Abstract: In view of the shortcomings that the accuracy of the existing ionospheric models is not enough to reflect the local real-time changes, this paper uses the time series prediction tool of deep learning to obtain the model of a specific communication link, and combines it with the ionospheric theoretical calculation model to improve the accuracy of communication link prediction. The main work is to analyze and compare the international broadcasting data and the model calculation data, summariz...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P157
Efficient Modeling of Ship Structure Based on Image Recognition and Data Retrieval
Author: Rong Cao, Xin Li
157,166
Abstract: In order to significantly improve the efficiency of ship structure modeling, an efficient ship structure modeling method based on image recognition and data retrieval is proposed. First of all, the typical Panel has been designed, according to specific data standards, the data and drawings are saved to the database. Then when a new Panel needs to be created, compare the 2D drawings of the structure around the Panel through image recognition to get a similar structure and confirm which Panel...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P167
Application and optimization of electro-Fenton technology in advanced treatment of petrochemical industry wastewater
Author: Xiaolong Zhang, Yulong Zou, Yiyang Jiao, Lei Yang, Jintao Guo
167,172
Abstract: Within this research endeavor, a refined electric-Fenton remediation protocol was put forth for the enhanced reconditioning of intensely polluted organic effluents originating from the petrochemical sector. Using DSA (Dimensionally Stable Anode) electrode material and ultraviolet (UV) catalysis, the wastewater treatment efficiency and the ability to degrade refractory organic compounds were significantly improved. By optimizing the reaction parameters, the mineralization speed and treatment...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P173
MVDR Algorithm Based on Loading Factor and Sample Selection Strategy
Author: Ruilong Ren, Weibo Deng, Fulin Su
173,181
Abstract: The MVDR (Minimum Variance Distortionless Response) algorithm is a classic Wiener filtering method used for beamforming in array signal processing. In a one-dimensional linear array high-frequency ground wave radar system, it can be employed to suppress various types of ionospheric clutter. A key step in suppression is the use of maximum likelihood estimation (MLE) to estimate the ionospheric clutter covariance matrix. However, MLE typically assumes that samples are independently and identi...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P182
Analysis and evaluation of development characteristics of debris flow in Longshougou
Author: Hong Li, Hui Cheng, Ronghao Jiang, Xiaoyu Zhang, Chang Liu, Qiwen Guan
182,191
Abstract: Long Shougou is located at the exit of Hei he River in Zhang ye City, which is directly facing the reservoir of Long Shougou Hydropower Station. Through site survey, UAV flight and indoor simulation calculation, the development characteristics and risk of Long Shougou debris flow were analyzed and evaluated. The results show that: Long Shougou debris flow is in the "development period", belonging to "small", "easy" and "high frequency" debris flow; The length of Long Shougou Channel is 1.70...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P192
Metal-organic frameworks Derived NiFe-hydroxides for efficient Electrocatalytic hydrogen evolution
Author: Huihua Luo, Chong Liu, Nannan Chen, Kehui Xue, Lianqing Yu, Haifeng Zhu, Yaping Zhang
192,196
Abstract: Ni-based layered double hydroxides (Ni-LDH) is regarded as one of the most promising electrocatalyst for hydrogen evolution reaction (HER). To further improve the HER performance of Ni-LDH, it is important to provide more active sites and decrease reaction energy. Herein, bimetal NiFe-LDH derived from NiFe-MIL was constructed by two-steps hydrothermal strategy. NiFe-LDH-0.3 displays the excellent HER activity, which achieves a low overpotential of 148 mV at 10 mA·cm-2. This work offers a no...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P197
Preparation and environmental impact assessment of NI-N modified sludge activated carbon electrode materials
Author: Tengfei Gao, Zhijun Ren
197,202
Abstract: With the activated sludge in urban sewage treatment as the precursor material, the carbon material is prepared by high temperature carbonization, and then the nickel-nitrogen modified activated carbon material is prepared by potassium hydroxide activation, urea and nickel doping. Electrochemical experiments with activated carbon materials show that it has a good specific capacitance of 345.9 F/g at 1 A/g current density. After 2 000 cycles at a current density of 10 A/g, it still maintains ...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P203
A Study on Calibration Error Correction Method for Measurement of Infrared Radiation on Ships
Author: Long Cheng, Yingguo Tian, Xinfeng Gu, Junchao Feng, Guowei Xu, Rong Xu, Hao Chen
203,216
Abstract: Radiation calibration is one of the important factors affecting the accuracy of IR characteristics measurement. Radiation calibration is mainly completed by measuring blackbody. However, a certain type of ship mounted theodolite has a large blackbody area, long heating time, and low temperature uniformity, which leads to significant system calibration errors. This article evaluates and corrects the calibration parameters K and B values of the system by installing a portable blackbody at the...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P217
Research Progress on Efficient Aerobic Composting Technology for Livestock and Poultry Manure
Author: Yili Zheng, Wenshi Zhang, Zhuwei Peng, Ting Wei, Xiaoyun Zeng, Mingyuan Liu
217,222
Abstract: This paper systematically reviews the challenges faced by aerobic composting in pollution reduction and carbon emission mitigation, including the control of heavy metal contamination, antibiotic residue, estrogen, microplastics, and the reduction of environmentally impactful gases (including greenhouse gases). Based on the analysis of these points, technological advancements for emission reduction, pollution control, and efficiency enhancement are summarized, aiming to provide scientific re...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P223
Research on relay safety output control method based on BP neural network
Author: Dongdong Liu, Jun Wei, Mingzhe Wu, Nan Yu, Chao Wang, Shuan Ji
223,230
Abstract: With the continuous improvement and expansion of the metro network, the issues of train safety capacity, transportation effi-ciency and maintenance cost will become increasingly prominent. As an indispensable switching and controlling device of train safety control system, the health status of relay is the foundation of low-cost, high safety and efficient development of subway. This paper designs and proposes a BP neural network based relay safety output control method, this method utilizes...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P231
Research on Emotional Recognition System of EEG Signals Based on CNN+LSTM
Author: Juan Lin, Guoqiang Ma, Binhao Li, Tianyang Yu, Yanjun Li
231,238
Abstract: We studied an emotion recognition system based on EEG signals, conducted MATLAB simulation for EEG signal collection, and conducted experiments on EEG signal collection using STM32 microcontroller. We proposed an EEG emotion recognition system based on convolutional neural network (CNN) and short-term memory artificial neural network (LSTM) models. The model used gradient descent algorithm and cross entropy loss function algorithm, and was used the DEAP dataset to verify the accuracy of emo...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P239
Simulation for Composite Cylindrical Pressure Hull using Progressive Response Surface Method
Author: Guanchao Zheng, Wen Xu, Mohd Khairol Anuar Bin Mohd Ariffin Xu
239,247
Abstract: Response surface method (RSM) as a fitting method had been applied to composite cylindrical buckling problem. There are little researches focusing on the accuracy of the RSM. For most cylinder buckling problems, only angles of the fiber orientation had been considered as the important variables. This paper proposes a progressive response surface method (RSM) to approximate the buckling critical pressure for composite cylindrical pressure hull taking ply angles and ply thicknesses into accou...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P248
Total stress model of clay considering small strain characteristics
Author: Jialin Dai, Hanbo Zhai, Tingting Li, Guangming Yu, Lunbo Luo
248,252
Abstract: Saturated soft clay has the characteristics of high compressibility, low strength, and high structural sensitivity. Its small strain characteristics have a significant impact on the deformation development and long-term bearing capacity of ocean engineering foundations. A total stress model for undrained cyclic loading of clay considering small strain characteristics was created based on the Overlay model. The proposed model was used to simulate the static or dynamic triaxial test results o...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P253
A Review of Space Situational Awareness Satellites:Silentbarker
Author: Haojie He, Dexian Zeng, Jian Li, Yunzheng Liu, Siyi Wang
253,260
Abstract: Reviewed the development and status quo of space situational awareness satellites in the United States. According to the launch time of the satellites, four typical space situational awareness satellites, namely Midcourse Space Experiment, Space-Based Surveillance System, Geosynchronous Space Situational Awareness Program and Silentbarker are introduced. The basic information and mission requirements of these four typical space situational awareness satellites are described. This paper anal...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P261
Research on the Construction Technology of INS Digital Prototype Based on Digital Twin
Author: Wenhui Meng, Tingjun Wang, Aiqi Liang
261,268
Abstract: In response to the continuous advancement of digitalization and intelligence in equipment as mandated by the state, a digital twin-based inertial navigation digital prototype construction scheme has been designed. This scheme supports the realization of intelligent manufacturing, testing, evaluation, and operational assurance throughout the lifecycle of inertial navigation products. This paper decomposes the physical entities of the " three-autonomy " SINS and integrates component-level ine...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P269
Markov Process Based Method Researching of Ship Maintenance Dock Demand Evaluation
Author: Gang Ji, Xiru Wang, Mei Tan
269,276
Abstract: Prediction of support resources has always been the focus and difficulty for ship comprehensive support. In this paper, a prediction model and method are proposed for the support needs of ship maintenance docks. Markov process is introduced and applied to the forecasting of ship dock demand. By analyzing the system characteristics of ship dock use, a Markov forecasting model and evaluation index of dock demand are established, and the validity of the forecasting method is verified by case a...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P277
Structure Design And Optimization Approach For Low RCS Screws
Author: Hongqian Zhu, Lin Zhang
277,282
Abstract: With the rapid development of radar stealth and detection technology, large numbers of screws and rivets have become a major factor that affecting the aircraft’s invisibility. This is because these components have a significant impact on the overall radar cross section of the aircraft, when the electromagnetic scattering characteristic of strong scattering sources is greatly reduced. By analyzing the scattering contribution of the head and body to the screw, it has been obtained that the ge...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P283
Flame aerosol deposition Y3Al5O12:Yb 3+ , Er 3+ nanoparticles on monolayer MoS2 for broadening near-infrared photoelectroresponse
Author: Haitao Wei, Shuai hu, Tongcheng Yu
283,292
Abstract: Monolayer molybdenum disulfide (MoS2) is a two-dimensional material with a direct bandgap widely used in photoelectric detection. It exhibits excellent characteristics such as an ultra- high specific surface area, strong light interaction, and good carrier mobility. However, due to the bandgap limitation, monolayer MoS2 can only efficiently detect visible wavelengths less than 680 Combining lanthanide-doped upconversion nanoparticles with monolayer MoS2 to realize near- infrared (NIR) photodetec...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P293
Based on Improved Lightweight YOLOv8 for Vehicle Detection
Author: Jie Zhou, Hongwei Xu, Runjing Zhou, Xin Du
293,300
Abstract: In urban road traffic, vehicle detection in intelligent transportation system can effectively improve road traffic operation efficiency and road safety. Based on this goal, this paper is based on the YOLOv8 framework, using the improved lightweight YOLOv8 model to realize vehicle detection, the method replaces the Backbone network in the YOLOv8n model with a more efficient and lightweight EfficientViT network, and further adds the CBAM attention mechanism in Neck to enhance the detection precisi...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P301
Research and Application of 3D Real Modelling from Oblique Images for City Planning
Author: Xi Wei, Yanzhi Sun, Huibo Li, Hui Lin, Chao Tang
301,310
Abstract: With the continuous advancement of urban informationization, the requirements of diverse information systems are abundant and various. Meanwhile the integrity of information resources is also improved. The 3D real model data has become an important part in the construction of digital city database with its perceptual intuition, objectivity and accuracy characteristics. Taking a region in Beijing as an example, the oblique photogrammetry is carried out by using multi-rotor unmanned aerial vehicle...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P311
Retrospective Analysis of Flood Operations for 2020 Floods in the Yangtze River Basin Under Water Engineering Projects Conditions in 2023
Author: Tao Zhang, Qiongfang Hu, Yuni Xu, Yinshan Xu
311,320
Abstract: Based on the current conditions of the joint operation of water projects in the Yangtze River Basin (as of 2023), this study aims to conduct retrospective operations using 2020 Yangtze River Basin flood events. Operations are regulated by “ 2023 Joint Operation Plan for Water Projects in the Yangtze River Basin”. The outcomes of operations are analyzed to demonstrate the effectiveness of current water engineering conditions when tacking with 2020 floods, which provide valuable references and ins...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P321
Environmental Performance-Driven Parametric Design Method for General Hospitals Layout Design
Author: Xuanzhi Huang
321,332
Abstract: Parametric design driven by environmental performance, a design method integrating parametric modeling, environmental design simulation tools, and algorithm-empowered optimization tools, is becoming increasingly popular among architects when designing building complexes, such as residential, office, and campus buildings, during the early stages of design. However, when it comes to the layout planning of general hospitals, this method has not yet been sufficiently employed. Despite this, it is un...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P333
A Degree of Bounded Mappings Between M-Fuzzifying Bornological Space
Author: Jiesheng Cui
333,338
Abstract: In this paper, we define the degree of bounded mappings between M-fuzzifying bornological spaces. This concept describes a mapping between M-fuzzifying bornological spaces to be a bounded mapping in some degree. Also, we generalize some properties with respect to bounded mappings in classical bornological spaces to the fuzzy setting
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P339
The Model and Simulation of Memristor
Author: Yunfang Jia
339,343
Abstract: Memristor is an emerging electronic component, tremendous efforts have been made in the fields of memristor, motivated by its unique resistor switching feature, as well as the good compatibility with the current integrated circuit (IC) technologies. It has been widely accepted that memristor would be a powerful candidate for constructing the brain-like computing hardware system in the next generation of electronics. Even so, there are still challenges in the development of the memristor IC and t...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P344
Meta-Learning and Bi-Tier Selection Based Classification Algorithm Recommendation
Author: Wei Guo, Mutila Minawaer, Zhizhong Ren, Siqi Hao
344,350
Abstract: Aiming at the problem of how to select the best algorithm for a given classification problem, a meta-learning and Bi-Tier selection based classifier recommendation (MLBCR) is proposed. Firstly, a set of meta-features is extracted to characterize the classification dataset by combining meta-learning. Secondly, a comprehensive evaluation index is proposed to comprehensively evaluate the performance of 11 candidate classification algorithms on each classification dataset, and the algorithm with the...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P351
Instance-Level Cost-Sensitive Online Classification Algorithms for Class-Imbalanced Data Streams
Author: Xian Shan, Jinyu You, Yu Xie, WenLei Xu, Zongrui Li
351,357
Abstract: The importance of classification in machine learning is increasingly acknowledged in contemporary research and applications, such as disease detection, user analysis, etc. However, the efficacy of traditional classification algorithms is frequently affected by challenges such as class imbalance and the processing of large-scale dynamic data. To address these issues, inspired by the cost-sensitive learning strategy (Pinball loss) and instance-level loss function (Focal loss), this study construct...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P358
Experimental Analysis and Construction of Measurement Model for Torque Calibration Device in Variable Temperature Environment
Author: Feng Guo, Jiejun Lin, Tao Li, Weijie Jiang
358,365
Abstract: The article introduces the design structure and principle of a torque calibration device in a 5kNm variable temperature environment. By constructing a measurement model, it quantitatively analyzes the measurement uncertainty of the device and conducts calibration tests on standard torque sensors. The results indicate that the designed device can provide theoretical foundations and a basis for the traceability of torque sensors in variable temperature environments
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P366
An Approach of Self-Defense Mainlobe Interference Suppression
Author: Leilei Xu, Jun Pan, Yutai Zhou, Juqi Yin, Dehao Dong, Shen Zheng, Yulong Wei, Botao Song, Quan Sun, Yuan Zhang
366,372
Abstract: Self-defense mainlobe interference and radar echo signals generated by real targets are same spatial angle, which seriously affect the radar performance, so self-defense mainlobe interference suppression is one of the hot spots and difficulties in the current radar field. In order to solve this issue, an approach of self-dense mainlobe interference suppression is proposed. Firstly, the pulse signals suffered self-dense mainlobe interference are rejected. Then, based on modified iterative method ...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P373
Microwave Vacuum Puffing Technology for Food Products: a Review
Author: Zhi Chang, Tong Liu, Ke Wang, Chao Mao
373,383
Abstract: Puffed food is popular because of its loose structure, crisp taste, and broad market prospects. The traditional frying puffing method has been gradually abandoned due to health problems such as cardiovascular disease, hypertension, etc., and replaced by low-temperature and healthy processing methods. As a new puffing technology, microwave vacuum puffing (MVP) combines the instantaneousness of microwave heating and the low temperature of vacuum drying, which can better retain the color, aroma, ta...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P384
Application of Virtual Simulation in Education: Current Status, Hot Spots and Trends
Author: Xu Dai, Xinjian Fu, Jiayu Zuo, Lianshuan Shi
384,392
Abstract: The use of virtual simulation in teaching and learning has become increasingly widespread. However, there is still a lack of systematic reviews in the field of virtual simulation education. Using CiteSpace visual analysis software and bibliometric methods, we analyzed 223 articles from the Web of Science core dataset to examine the current status, key areas, and trends in virtual simulation education research. Additionally, we identified existing gaps and proposed future research directions. Our...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2024.1.1.P393
The Analysis and Discussion of Risks Related to FDA Adverse Event of Continuous Glucose Monitoring System
Author: Xinyan Zhang, Haonan Wu, Lingfeng Lu, Yuting Zhu, Hongbo Yan, Zefeng Zhou, Meiyan Song
393,399
Abstract: Adverse events are one of the important bases for the re-evaluation of the safety and efficacy of medical devices. According to MAUDE, the U.S. Food and Drug Administration's (FDA) adverse event monitoring database, the factory-calibrated, integrated continuous glucose monitoring system (iCGM) received 130088 adverse events reports during the first half of 2023, ranking the second highest among all devices. In this paper, we conduct a multi-dimensional analysis of 130088 adverse events, summariz...