Intelligent Monitoring of Multistory Buildings under Unknown Earthquake Excitation by a Wireless Sensor Network by Y. Lei, Y. L. Tang, J. X. Wang, Y. Q. Jiang, Y. Luo

Get full text

A two-layer low-carbon economic planning method for park-level integrated energy systems with carbon-energy synergistic hub by Yunfei Mu, Haochen Guo, Zhijun Wu, Hongjie Jia, Xiaolong Jin, Yan Qi

Get full text

Energy-Environmental Analysis of Retrofitting of a Chilled Water Production System in an Industrial Facility—A Case Study by Tomasz Mróz, Kacper Fórmaniak

“…The performed analysis showed that the evaluated systems may nonetheless be an attractive option for pharmaceutics factories, leading to the reduction of primary energy consumption and carbon dioxide emissions, thereby making more electrical power available for core production. …”
Get full text

Cooperative Mechanism for Energy Transportation and Storage in Internet of Energy by Weigang Hou, Guoda Tian, Lei Guo, Xiaojie Wang, Xu Zhang, Zhaolong Ning

“…For this end, we investigate cooperative energy transportation and storage for IoEs in terms of problem analysis, algorithm design, and platform development. After demonstrating the feasibility condition and proving the NP-hard of our problem, we derive the optimal solution by the reduction from a classic knapsack problem. …”
Get full text

Numerical Optimization of Laser Powder Bed Fusion Process Parameters for High-Precision Manufacturing of Pure Molybdenum by İnayet Burcu Toprak, Nafel Dogdu, Metin Uymaz Salamci

“…The optimal parameter set—350 W laser power, 120 mm/s scanning speed, 50 µm spot diameter, and 50 µm layer thickness—results in an 80% laser absorption rate, a 60% reduction in micro-porosity, and over a 30% enhancement in both molten pool volume and surface area. …”
Get full text

A Review of Green Agriculture and Energy Management Strategies for Hybrid Tractors by Yifei Yang, Yifang Wen, Xiaodong Sun, Renzhong Wang, Ziyin Dong

“…Hybrid tractors, as an efficient and environmentally friendly power system, are gradually becoming an important technical choice in the agricultural field. …”
Get full text

Multi-Hazard Vibration Control of Transmission Infrastructure: A Pounding Tuned Mass Damper Approach with Lifelong Reliability Analysis by Zhuoqun Zhang, Lizhong Qi, Jingguo Rong, Yaping Zhang, Peijie Li, Ziguang Jia

“…Power transmission tower-line systems are exposed to various dynamic hazards, including wind and earthquakes, among others. …”
Get full text

The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction by Yu Fu, Zhihao Fan, Xiangzhi Li, Pengyu Wang, Xiaoyue Sun, Yu Ren, Wengeng Cao

Get full text

A high-precision 1 × 15 infrared temperature measurement linear array based on thermopile sensors by Jindong Bai, Wenhang Yang, Shouzheng Zhu, Haijun Jin, Yuchen Zhang, Ke Jin, Xiaoshuai Liu, Chunlai Li, Jianyu Wang, Hongxing Qi, Shijie Liu

“…Abstract In applications such as those in the semiconductor industry, precise temperature measurements with low power consumption are crucial. This article presents a novel noncontact temperature measurement method with low power consumption and high precision, and a thermopile sensor-based linear array for surface temperature measurements is used in semiconductor manufacturing and temperature calibration applications. …”
Get full text

Integrated Time Series Analysis, Clustering, and Forecasting for Energy Efficiency Optimization and Tariff Management by Anderson Jhones Passos Nascimento, Menaouar Berrehil El Kattel, Jose Antonio Fernandes de Macedo, Fernando Luiz Marcelo Antunes

“…The research employs time series techniques and clustering algorithms to identify atypical consumption profiles and regular patterns based on average monthly consumption and contracted power demand. …”
Get full text

Hybrid geometry optimization to mitigate maximum temperature gradient in solid oxide fuel cells without lowering the net output performance by Hongkun Li, Tongyu Dai, Tiantian Hu, Weiqun Liu, Qiao Zhu, Dawei Dong

“…Though the maximum temperature gradient is lowered in prior studies, the performance (i.e., output power density) is also substantially suppressed due to the temperature reduction. …”
Get full text

Optimal schedule for extended basic period approach of economic lot scheduling problem by Waldemar Kaczmarczyk

“…Experiments with several problem instances described in the literature confirmed that using the new model within a heuristic algorithm ensures a significant cost reduction for the entire elsp. …”
Get full text

An Ensemble Learning Method for the Kernel-Based Nonlinear Multivariate Grey Model and its Application in Forecasting Greenhouse Gas Emissions by Lan Wang, Nan Li, Ming Xie

“…In order to give policy makers more power to set the specific target of GHG emission reduction, we propose an ensemble learning method with the least squares boosting (LSBoost) algorithm for the kernel-based nonlinear multivariate grey model (KGM) (1, N), and it is abbreviated as BKGM (1, N). …”
Get full text

Source localization based on time delay estimation in complex environment by Da-wei ZHANG, Chang-chun BAO, Bing-yin XIA

“…In order to improve the performance of source localization in noisy and reverberant environments,a novel time delay estimation (TDE) method was proposed.This method is called acoustical transfer function ratio based on statistical model (ATFR-SM).In the proposed algorithm,the noise reduction method based on the statistical model was adopted to reduce the effect of noise on acoustical transfer Function (ATF).In the ATF method,the power spectral density (PSD) was smoothed and whitened to reduce the effect of reverberations.voice activity detection (VAD) was used to distinguish the speech period from the noise period,and the TDE was performed in the speech period to improve the estimation accuracy.Moreover,the proposed TDE method and the linear closed-form method for source localization were combined to constitute a source localization system.The results of performance evaluation show that,in both the noisy and reverberant conditions,the lower percentage of abnormal points (PAP) and lower root mean square error (RMSE) can be achieved by the proposed TDE method than those of the reference methods.Meanwhile,the source localization has higher accuracy than the reference methods.…”
Get full text

Research on Real-Time Control Strategy of Air-Conditioning Water System Based on Model Predictive Control by Dehan Liu, Jing Zhao, Yibing Wu, Zhe Tian

“…The experimental results show that this algorithm can follow the hourly optimized parameters with a low overshoot in the short-term domain. …”
Get full text

Blockchain-Empowered UAV-Assisted Computation Resource Allocation in Smart Farm Services Platform by Sida Huang, Matilda Isaac, Yuan Gao, Yuji Dong, Jie Zhang, Bintao Hu

“…To minimise the total service delay (which includes the transmission delay and processing delay) among the user equipment (UEs) and UAVs, we propose jointly optimising the communication resource allocation for all UEs and UAVs, the computation resource allocation at each UAV, and the transmission power. This is achieved by devising a Q-learning-based optimisation algorithm, which is called a Q-learning-based latency reduction optimisation algorithm (QLROA). …”
Get full text

Scalable FPGA Implementation of a Reliability-Based Direct Turbo Decoder for Short Block Codes by Senthil Murugan, Ramesh Bhakthavatchalu, Karthi Balasubramanian, B. Yamuna, Deepak Mishra, Sree Ranjani Rajendran

“…This paper presents the first hardware implementation of the RCODD algorithm on an FPGA, featuring a serial architecture optimized for minimal memory usage and logic complexity. …”
Get full text

Based on the N2N-SAMP for sparse underwater acoustic channel estimation by Zhen Wang, Zhen Wang, Maofa Wang, Yangzhen Wang, Yangzhen Wang, Zhenjing Zhu, Zhenjing Zhu, Guangtao Shang, Guangtao Shang, Jiabao Zhao, Jiabao Zhao, Ning Hu, Ning Hu

“…Specifically, at SNR levels of 0 dB, 10 dB, and 20 dB, the MSE of channel estimation is reduced by 58.95%, 76.08%, and 19.42%, respectively, compared to the SAMP algorithm that selects the optimal threshold based on noise power. …”
Get full text

Distributionally robust hybrid energy management in smart mining using process-coupled primal-dual mirror descent by Dawei Wang, Yifei Li, Cheng Gong, Tianle Li, Fang Wang, Shanna Luo, Jun Li

“…The energy scheduling problem is formulated as a process-constrained, multi-period optimization under uncertainty, explicitly modeling the spatio-temporal correlations among renewable power generation, ventilation loads, dewatering demands, and blasting energy requirements. …”
Get full text

Flexibility in load demand and PHEV parameters for clean and economic microgrid operation by Bishwajit Dey, Srikant Misra, Arnab Pal

“…A thorough investigation is carried out by taking three varieties of PHEVs with varied battery capacity and charging/discharging power levels. Furthermore, a balanced economic emission dispatch is used to achieve the best trade-off between cost minimisation and pollution reduction, ensuring long-term MG functioning. …”
Get full text