RESEARCH ON VEHICLE INTELLIGENT FRAGRANCE FLUID SIMULATION AND NOISE REDUCTION

“…The existing miniaturized vehicle intelligent fragrance devices in China generally have problems such as small air volume and high noise,resulting in poor user experience.In view of the above problems,firstly,a miniaturized vehicle intelligent fragrance device based on Catia software was designed.Secondly,based on the computational fluid dynamics(CFD)method,the flow field simulation analysis of the vehicle intelligent fragrance device was carried out,and the air volume was optimized by improving the air path and the size of the air outlet.The optimized air volume is 1.2 m3/h,which is 16.7% higher than that before optimization,which verifies the feasibility of the optimization method.Finally,based on Siemens Simcenter Testlab system,the noise reduction of the vehicle intelligent fragrance devices was studied.The scheme of isolating vibration source and adjusting motor subdivision was proposed to reduce noise.The experimental results show that the noise of the whole machine is reduced by 5.61 dB(A),which verifies the effectiveness of the noise reduction method.The structural design method,air volume optimization method and noise reduction technology scheme provide a strong reference for product development in the field of vehicle electronics.…”
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A New Experimental Approach for Hydraulic Fracturing Fluid Damage of Ultradeep Tight Gas Formation by Hui Li, Zhiliang Liu, Ninghong Jia, Xu Chen, Jing Yang, Lele Cao, Ben Li

“…Hydraulic fracturing is the main method for tight gas reservoir development because of its extremely low permeability and porosity. …”
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Data-Driven Proactive Early Warning of Grid Congestion Probability Based on Multiple Time Scales by Haobo Fu, Ruizhuo Wang, Bingxu Zhai, Yuanzhuo Li, Pengyuan Li, Rui Zhang, Haoyuan He, Siyang Liao

“…In order to solve the problem of a lack of accuracy and predictability of the current scheduling method based on “passive” prediction, a data-driven active warning method based on the probability of grid congestion at multiple time scales is proposed. …”
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Plant Height Estimation in Corn Fields Based on Column Space Segmentation Algorithm by Huazhe Zhang, Nian Liu, Juan Xia, Lejun Chen, Shengde Chen

“…Addressing these issues through algorithm optimization, parallel processing, and the integration of additional data sources such as multispectral or LiDAR data could enhance its scalability and robustness. …”
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The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review by Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

“…ObjectiveThis systematic review aims to examine the use of ML for analyzing RWD in disease prediction and management, identifying the most commonly used ML methods, prevalent disease types, study designs, and the sources of real-world evidence (RWE). …”
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Research on Heat Transfer of Submersible Motor Stator based on Air Gap Flow Characteristics by Shibin Zhang, Huayang Ren, Yongcun Wang, Yu Miao, Yan Shang, Yunbing Feng

“…Finally, the validity of the method is verified by comparing the calculated results with the experimental data. …”
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FLUORESCENT X-RAY IMAGING WITH PINHOLE CAMERA by Yu. I. Dudchik, G. I. Hilko, Yu. K. Lomashko

“…The pinhole camera is used for obtaining the image of synchrotron and laboratory sources, and also as a lens in a method of X-ray fluorescent microscopy. …”
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Life cycle inventory dataset for energy production and storage technologies: Standardized metrics for environmental modelingZenodo by Elena Rozzi, Paolo Marocco, Marta Gandiglio

“…Unlike existing LCA databases, which are often paywalls, and can have highly detailed but less accessible data, this method provides aggregated and user-friendly parameters that are ready for direct use. …”
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Energetically self-sufficient robot group study kit by M. A. Rovbo, A. A. Malyshev

“…In addition to performing the target task, ancillary tasks such as maintaining the battery level, communication with other team members in a multi-agent system, should be considered in the control algorithm of the robot, which allows to study the distribution of priorities between these objectives, as shown in the example of multicriteria optimization. The prototype of the kit and its usage according to the described approach have been partially validated by conducting computational experiments with algorithms based on different search methods (random search, closest source and multi-criteria optimization methods), multi-agent paradigm and adaptive control which show a variety of possible approaches and illustrate the process of students' work. …”
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Fourier and Inverse Fourier Transform Model for Delayed Self-interferometry System by Ling Zhang, Weilin Xie, Yuxiang Feng, Zhangweiyi Liu, Haijun Zhou, Yinxia Meng, Yuanshuo Bai, Wei Wei, Yi Dong

“…With average estimation goodness (AEG) of 0.9716 and computation complexity of <inline-formula><tex-math notation="LaTeX">$\mathcal {O}(N\text {log}N)$</tex-math></inline-formula>, this model offers greater accuracy and lower complexity than conventional methods. It has also been confirmed that this model permits to distinguish the contributions from the laser frequency stability and other noise sources, which could be helpful for the noise analysis and performance optimization of the system.…”
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Microwave-Assisted Valorization of Tomato Pomace for Pectin Recovery: Improving Yields and Environmental Footprint by Nikolina Golub, Emerik Galić, Kristina Radić, Nada Smigic, Ilija Djekić, Sandra Pedisić, Dubravka Vitali Čepo

“…The response surface methodology was used to model the optimization process. The physico-chemical properties of pectin were determined using titrimetric methods and FTIR spectroscopy. …”
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Current Approaches to the Treatment of Traumatic Shock (Review) by D. A. Ostapchenko, A. I. Gutnikov, L. A. Davydova

“…Current methods of respiratory failure control allow to estimate promptly the severity of respiratory dysfunction, reveal the cause and correct existing disorders in an individualized way taking into account the better availability of mechanical ventilation. …”
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Probabilistic Forecasting of Energy Consumption using Bayesian Dynamic Linear Models by Hartika Aulia, Syaharuddin Syaharuddin, Vera Mandailina, Hamenyimana Emanuel Gervas, Hameed Ashraf

“…This study aims to conduct a systematic literature review on the development of mathematical models for forecasting energy consumption using a probabilistic approach, particularly focusing on the Bayesian Dynamic Linear Model (BDLM). The research method employed is Systematic Literature Review (SLR), utilizing literature sources indexed in Scopus, DOAJ, and Google Scholar, with publication dates ranging from 2014 to 2024. …”
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CO2 Conversion Through Dynamic Resource Integration in Different Geographic Regions by Mohammad Lameh, Dhabia M. Al-Mohannadi, Patrick Linke

“…The proposed method follows a generic representation of resource integration across different processing and storage options while considering power price dynamics, power-related emissions (scope 2), and renewable energy availability. …”
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Application of a Supervised Learning Machine for Accurate Prognostication of Hydrogen Contents of Bio-Oil by Binghui Xu, Tzu-Chia Chen, Danial Ahangari, S. M. Alizadeh, Marischa Elveny, Jeren Makhdoumi

“…The support vector machine algorithm optimized by the grey wolf optimization method has been used in modeling this end. …”
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Computational sensitivity evaluation of ultrasound neuromodulation resolution to brain tissue sound speed with robust beamforming by Boqiang Fan, Wayne Goodman, Sameer A. Sheth, Richard R. Bouchard, Behnaam Aazhang

“…The propagation estimation model utilizes equivalent source method (ESM) to map sound field between different acoustic parameter sets. …”
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Differential protection of distribution network based on 5G and particle swarm algorithm by HAO Hanbing, WANG Tongwen, ZHU Sijie, HOU Zhengquan, HUANG Yuhui

“…The hazards and solutions of 5G network communication delay and delay jitter are analyzed, and the network slicing technology, optimization of upstream scheduling, optimization of bit error rate and air interface retransmission, optimization of transmission priority and other methods are introduced to reduce communication delay and delay jitter, and the improved particle swarm algorithm is used to optimize parameters. …”
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Enhancing the Efficiency and Schedule of Solar Thermal Power Plants by Utilizing Thermal Storage Devices to Minimize Carbon Emissions by Lingeswaran P., Yadav Shailendra Kumar, Ganesh Babu L., Magesh Babu D., Karuppannan Anand, Iftekhar Hussain Beporam, Nanthakumar S.

“…The renewable energy method of photo thermal power generation has great promise for future advancements. …”
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Greening concept in inventory system for deteriorating items with preservation investment and price and stock dependent demand via marine predators algorithm by Hachen Ali, Gobinda Chandra Panda, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Jeonghwan Gwak

“…The robustness of the solution method is further demonstrated by comparing the MPA’s performance with other optimization techniques in terms of solution quality and computational efficiency. …”
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Noise Testing of the Conveyor Trough Sprocket and Surface Noise Reduction Performance Evaluation of the Cavity Structure in a Combine Harvester by Jianpeng Jing, Hongyan Sun, Runzhi Liang, Shuren Chen, Zhong Tang, Xiaoying He, Yuxuan Chen

“…Noise measurements were conducted using the sound intensity method, revealing sound pressure levels in the range of 93–95 dB. …”
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