Multi‐objective and multi‐stage low‐carbon planning of park integrated energy system considering random outages from superior power grid by Xunpu Jiang, Zhejing Bao, Jianwei Chen, Miao Yu

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Integrating the circular economy model into the management and treatment of Fischer–Tropsch effluents—a conversion of waste to energy (biogas) opportunity by Mabatho Moreroa, Thapelo P. Malematja, Grace Nkechinyere Ijoma

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The impact of spatial representation in energy transition modelling on systemwide energy return on investment by Hasret Sahin, Abebe Asfaw Solomon, Arman Aghahosseini, Christian Breyer

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Research on adaptive motion methods of flexible knee joints based on the artificial potential field by LUO Tianhong, LI Chaoyang, MA Xiangyu, FU Qiang, FANG Shangchen

“…ObjectiveConsidering the tracking error of the motion trajectory of the flexible knee joint and the influence of the flexibility on the joint motion, an adaptive impedance control method based on the artificial potential field (APF) was proposed.MethodsThe method took the pneumatic artificial muscle as the power source, and by establishing a kinetic model between the human-machine interaction moment and the knee joint motion angular velocity, the size of the impedance control parameter could be adjusted in real time, so as to realize the following of the motion of the exoskeleton knee joint and the human leg; the control parameter was optimized using the APF concept to enhance the effect of the motion following, and the effectiveness of the algorithm was verified by simulation and test.ResultsThe results show that the proposed APF-based adaptive impedance control method enables the exoskeleton to adaptively track the human motion trajectory and can reduce the error of trajectory tracking, thus improving the suppleness of the flexible knee joint control and enhancing the human-machine synergy of the system.…”
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Reducing the Break-even Time by Smart Power Managing in Data Center with Renewable Energy by somayyeh taheri, Maziar Goudarzi

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Sparse signal transmission under lossy wireless links based on double process of compressive sensing by Peng SUN, Gui-nan LI, Lian-tao WU, Zhi WANG

“…In resource-limited wireless sensor networks,links with poor quality hinder its large-scale applications seriously.Thanks to the inherent sparse property of signals in WSN,the framework of sparse signal transmission based on double process of compressive sensing was proposed,providing an insight into a new way of real-time,accurate and energy-efficient sparse signal transmission.Firstly,the random packet loss during transmission under lossy wireless links was modeled as a linear dimension-reduced measurement process of CS (a passive process of CS).Then,considering that a large packet was often adopted in WSN for higher transmission efficiency,a random linear dimension-reduced projection (a simple source coding operation) was employed at the sender node (an active process of CS) to prevent block data loss.Now,the raw signal could be recovered from the lossy data at the receiver node using CS reconstruction algorithms.Furtherly,according to the theory of CS reconstruction and the formula of packet reception rate in wireless communication,the minimum compression ratio and the maximum packet length allowed were obtained.Extensive simulations demonstrate that the reliability of data transmission and its accuracy,the data transmission volume,the transmission delay and energy consumption could be greatly optimized by means of proposed method.…”
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Numerical Solutions of the Mean‐Value Theorem: New Methods for Downward Continuation of Potential Fields by Chong Zhang, Qingtian Lü, Jiayong Yan, Guang Qi

“…Abstract Downward continuation can enhance small‐scale sources and improve resolution. Nevertheless, the common methods have disadvantages in obtaining optimal results because of divergence and instability. …”
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Thermal Simulation in Wire Arc Additive Manufacturing of A 5356 Aluminium Single Track Deposited on 7108 Aluminium Substrate by Eman Shams, Noha Ramadan, Marwan Abdelwahed, Nahed ElMahallawy, Mohamed A Taha

“…An adapted version of Goldak’s heat source model is integrated with the material deposition strategy. …”
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Methods of Possible Application of Cell-Free Amniotic Fluid Analogues in the Practice of a Pediatrician by Kyamal E. Gasanov, Lidiya V. Sorogina, Mikhail S. Parfenov-Mamykin, Anna A. Tsaturova

“…The use of amniotic fluid as a source of stem cells is of great interest in cosmetology, genetics, obstetrics, neonatology and other areas of medicine. …”
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Exploring Advanced Methodologies for Hybrid Energy System Sizing through Artificial Intelligence Techniques: a comprehensive review by Walid Bensalmi, Ahmed Belhani, Abdellatif Bouzid-Daho

“…This paper explores various design and sizing methods for HES, focusing on combining clean sources, including wind and solar, with conventional energy options. …”
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Sentiment Analysis on the PT Pertamina Corruption Case using IndoBERT and RCNN Methods by Wildan Jaya Kusoema, Ichsan Ibrahim

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High Current Accelerator-driven Neutron Sources - The HBS project for a next generation neutron facility [version 2; peer review: 3 approved, 1 approved with reservations] by Ralf Gebel, Olaf Felden, Romuald Hanslik, Andreas Lehrach, Oliver Meusel, Yannick Beßler, Holger Podlech, Thomas Gutberlet, Thomas Brückel, Johannes Baggemann, Klaus Lieutenant, Jingjing Li, Ulrich Rücker, Eric Mauerhofer, Paul Zakalek, Jörg Voigt

“…Methods A project was launched at the Jülich Centre for Neutron Science for the development, design and demonstration of such an innovative high-current accelerator driven neutron source termed “High-Brilliance neutron Source” (HBS). …”
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High Current Accelerator-driven Neutron Sources - The HBS project for a next generation neutron facility [version 3; peer review: 3 approved, 1 approved with reservations] by Ralf Gebel, Olaf Felden, Romuald Hanslik, Andreas Lehrach, Oliver Meusel, Yannick Beßler, Holger Podlech, Thomas Gutberlet, Thomas Brückel, Johannes Baggemann, Klaus Lieutenant, Jingjing Li, Ulrich Rücker, Eric Mauerhofer, Paul Zakalek, Jörg Voigt

“…Methods A project was launched at the Jülich Centre for Neutron Science for the development, design and demonstration of such an innovative high-current accelerator driven neutron source termed “High-Brilliance neutron Source” (HBS). …”
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Energy Management Control Strategy Based on Harris Hawks Optimization Technique for Fuel Cell Hybrid Electric Vehicle by Gondu Vykunta Rao, Ankit Soni, Aruna Bharathi, Baratam Murali, Vanjarapu Vykunta Rao

“…This paper will discuss the combination of Harris Hawks Optimization (HHO) for the energy management and control of these source systems, for the constraint of mandated sources, and to ensure stability. …”
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A Comparative Study of the Extraction Methods for the Simultaneous Detection of NPS Groups from Urine by M. Kuloglu Genc, S. Mercan, C. Bulut, Z. Turkmen

“…Results: The optimized extraction method was validated in terms of selectivity, linearity, the limit of detection, the limit of quantification, accuracy, and precision. …”
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Loss Analytic Calculation and Error Analysis for HVDC Converter by Biaojun LI, Quanzhou XIANG, Chuantao YAO, Qiong YU

“…The influence factors associated with loss and their weights are extracted, which provides a basis for targeted loss optimization. Considering that the nearest level control strategy is adopted for the converter valve in practical engineering, the error sources of the analytical calculation method are analyzed, and a feasible and high precision loss calculation method based on waveform data of project site is proposed.…”
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Methods of sinus rhythm restoration in patients with persistent and long-standing persistent atrial fibrillation by L. M. Kalmanson, E. I. Barashkova, I. V. Shlyk

“…Conclusion. The choice of the optimal method for restoring sinus rhythm in patients with persistent AF should be individualized.…”
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Assessment and Optimization of Ecological Networks in Trans-Provincial Metropolitan Areas—A Case Study of the Xuzhou Metropolitan Area by Yijia Zhao, Peiyuan Zhang, Hao Xu, Wei Liu

“…In this study, we optimized the identification of ecological sources at the metropolitan area scale by constructing the ‘MIE’ model combined with the threshold analysis method, identified the core ecological sources in the Xuzhou Metropolitan Area, a typical cross-provincial metropolitan area in China, and then extracted the ecological corridors by using the Linkage Mapper tool based on this method. …”
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Optimizing Location of Car-Sharing Stations Based on Potential Travel Demand and Present Operation Characteristics: The Case of Chengdu by Yu Cheng, Xu Chen, Xiaohua Ding, Linting Zeng

“…This study aims to use different data source with statistical models and machine learning algorithm to help car-sharing operator to choose the optimal location of new stations and adjust the location of existing stations. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…When attempting to classify data with a high degree of uncertainty, many researchers have turned to heuristic approaches and machine learning (ML) methods. We propose an entirely new ML method in this paper by fusing the Radial Basis Function (RBF) network based on ant colony optimization (ACO). …”
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