Article
Acoustics
Xiaodong Wang, Bin Liu, Xuesong Mei, Xialun Yun, Xiao Li, Qin Li, Xintian Wang
Summary: This article proposes a new method for identifying the dynamic parameters of the worktable by using the residual vibration signal of the machine tool. By analyzing the time-domain characteristics of the signal, the problem is transformed into an optimization problem of model parameters, and the dynamic parameters are determined using genetic algorithm. The results show that the proposed model-based method is more accurate than the commonly used autoregressive moving average method for parameter identification based on time-domain signal.
JOURNAL OF VIBRATION AND CONTROL
(2022)
Article
Chemistry, Multidisciplinary
Mengli Cao, Haofan Bie, Xiong Hu
Summary: This paper presents a novel method for marine pollution source localization using a network of mobile sensor nodes. The proposed method achieves high time-efficiency and localization accuracy during plume source localization in marine environments.
APPLIED SCIENCES-BASEL
(2022)
Review
Computer Science, Interdisciplinary Applications
Dhwani Desai, Ninad Mehendale
Summary: Sound source localization (SSL) is an important technology in robots and humanoids to find the direction of a sound source. In the past two decades, research has been done to optimize SSL techniques and enhance their accuracy. This review categorizes various proposed SSL techniques into four types, including conventional algorithms and convolutional neural networks (CNN).
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Article
Engineering, Civil
Jiannan Luo, Xueli Li, Yu Xiong, Yong Liu
Summary: Increasing the precision of groundwater pollution source identification (GPSI) is crucial for groundwater pollution control and risk management. This study proposes a Kalman filter Metropolis-Hasting (KF-MH) algorithm, which combines the Kalman filter algorithm with the Metropolis-Hasting algorithm to improve the accuracy of GPSI. The results show that the KF-MH algorithm achieves higher inversion accuracy compared to the MH algorithm.
JOURNAL OF HYDROLOGY
(2023)
Article
Green & Sustainable Science & Technology
Miao Zhang, Shibing You, Li Zhang, Houli Zhang, Yukun Wang
Summary: China's aging population has had a profound impact on the sustainable development of the Chinese economy. This paper analyzes the effects of China's aging population on economic growth through household consumption and national savings using a panel vector autoregressive model based on provincial panel data from 2000 to 2020. The results indicate that an aging population hinders household consumption and encourages national savings, thereby affecting economic growth both directly and indirectly. This is particularly challenging considering China's slow population growth and the contraction of the global economy due to the COVID-19 pandemic. The paper proposes policy recommendations, such as improving pension security, developing the silver-hair industry, expanding domestic demand, encouraging fertility, and increasing human capital investment to stimulate sustainable economic development.
Article
Environmental Studies
Xiao-Li Gong, Jian-Min Liu, Xiong Xiong, Wei Zhang
Summary: This paper discusses the dynamic effects of oil price shocks on macroeconomics and various industries, using the SVAR model to analyze structural shocks driving international oil price fluctuations. It also examines the impacts of oil supply shocks, specific demand shocks, and aggregate demand shocks on the Chinese industry economy. The research findings indicate that different shocks have varying effects on economic output, with specific demand shocks of oil prices having a higher impact on industrial output.
Article
Mathematics
Yiing Fei Tan, Kok Haur Ng, You Beng Koh, Shelton Peiris
Summary: This paper proposes a logarithmic version of the two-component ACD (LogCACD) model without restrictions on the sign of the model parameters, allowing the decomposition of expected durations into long- and short-run components to capture their dynamics. The proposed model is compared with benchmark models and different specifications of error distributions, and it shows superior performance in terms of in-sample fit and out-of-sample forecasts.
Article
Engineering, Civil
Jianxia Li, Ruochen Liu, Ruinan Wang
Summary: This paper proposes an adaptive genetic algorithm (AGA) with an elastic strategy (AGA-ES-TW) to solve the dynamic vehicle routing problem with time windows (DVRPTWs). The experiments show that AGA-ES-TW performs well in solving DVRPTWs.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Clinical Neurology
Joshua M. Diamond, Benjamin E. Diamond, Michael S. Trotta, Kate Dembny, Sara K. Inati, Kareem A. Zaghloul
Summary: Our study suggests that ictal activity observed by intracranial EEG may reflect propagated activity from a relatively focal seizure source, even during later time points when ictal activity is more widespread. By analyzing the time differences between ictal discharges in adjacent electrodes, we were able to estimate the location of the hypothesized focal source, which was found to closely match the clinically and neurophysiologically determined brain region giving rise to seizures. Furthermore, we found that this focal source is a dynamic entity that moves and evolves over the time course of a seizure, challenging the traditional conceptualization of the seizure source.
Article
Optics
Daniil Rabinovich, Soumik Adhikary, Ernesto Campos, Vishwanathan Akshay, Evgeny Anikin, Richik Sengupta, Olga Lakhmanskaya, Kirill Lakhmanskiy, Jacob Biamonte
Summary: By utilizing ion-native Hamiltonians and breaking symmetry, the study demonstrates the ability to solve a wider range of problem instances, expanding the scope of problems that can be solved by ion-based processors.
Article
Energy & Fuels
Guanghua Zhang, Linghao Zeng, Feng Lian, Xinqiang Liu, Na Fu, Shasha Dai
Summary: This paper addresses the state estimation problem of linear dynamic systems with non-Gaussian noise by introducing a triplet Markov model and deriving a new filter based on correntropy. Simulation results demonstrate the effectiveness of the proposed algorithm.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Optics
Mingliang Duan, Jianxin Li, Yi Zong, Caiyun Yu
Summary: This paper reports and demonstrates a dynamic Fizeau interferometer (DFI) method capable of high-precision measurements under severe vibration. By utilizing null-interference and circular carrier-frequency passes, this method can address phase extraction and sign correction issues while maintaining the common path advantage of the interferometer.
Article
Acoustics
Yining Liu, Haiqiang Niu, Zhenglin Li, Duo Zhai, Desheng Chen
Summary: This paper investigates the estimation of source depth using interference patterns, with the modeling and denoising of interference fringes using Gaussian processes. Compared to traditional Fourier transform-based methods, Gaussian processes demonstrate better performance, particularly in low signal-to-noise ratio scenarios and for estimating shallow source depths.
Article
Environmental Sciences
Syed Jaffar Abbas, Asim Iqbal, Muhammad Munawar Hussain, Aftab Anwar
Summary: This study examines the environmental cost of FDI inflows in the Sub-Saharan African region from 2006 to 2020. The findings support the pollution haven hypothesis, indicating that FDI is positively associated with CO2 emissions in the region. The study also reveals that CO2 emissions have spillover effects on neighboring nations. Furthermore, GDP, population, urbanization, and renewable energy resources were found to be important factors influencing CO2 emissions. The insights from this study highlight the importance of adopting renewable energy sources and implementing regulatory measures to mitigate the negative consequences of FDI-induced CO2 emissions in the host and neighboring nations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Xiaole Zhang, Xiaoxiao Feng, Jie Tian, Yong Zhang, Zhiyu Li, Qiyuan Wang, Junji Cao, Jing Wang
Summary: Millions of premature mortalities are caused by PM2.5 air pollution globally each year. To address this issue, the researchers updated the emission inventories and harmonized the results from source-oriented and receptor models, finding a significant reduction in pollutant emissions in Beijing and successfully identifying temporal changes during the Spring Festival.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)