Measurement-Based Analysis of 5G Cellular Network Interference on Radar Altimeters and Joint Power-Angle Control Mitigation Strategy by Zahra Rostamikafaki, Francois Chan, Claude D'Amours

“…An optimization model was developed to minimize interference through joint power and angle control at the BS, balancing the trade-off between 5G signal quality and aviation safety. …”
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Integrating IoT With Adaptive Beamforming for Enhanced Urban Sensing in Smart Cities by Sunday Enahoro, Sunday C. Ekpo, Mfonobong Uko, Fanuel Elias, Stephen Alabi

“…The exponential growth of Internet of Things (IoT) devices in smart city environments presents significant challenges, including spectrum congestion, interference, energy inefficiency, and scalability. To address these issues, we propose SmartBeam+, a novel adaptive beamforming algorithm designed to optimize the communication performance in dense IoT networks. …”
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Efficiency of adaptive filter with envelope tracking algorithm when receiving signals with multi-position PSK against the background of non-fluctuation interferences by G. V. Kulikov, Trung Tien Do

“…Using computer simulation, the optimal filter parameters (adaptation coefficient and its length) are determined; the effect of the filter on the noise immunity of the quadrature signal receiver with multi-position phase shift keying for various combinations of interference and their intensity is estimated. …”
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High-Performance O-Band Angled Multimode Interference Splitter with Buried Silicon Nitride Waveguide for Advanced Data Center Optical Networks by Eduard Ioudashkin, Dror Malka

“…The dimensions of the splitter were optimized using full vectorial beam propagation method (FV-BPM), finite-difference time domain (FDTD), and multivariable optimization scanning tool (MOST) simulations to support transmission across the O-band. …”
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Communication Link Analysis of a Low-Earth Orbit Satellites Considering Interference Sources Moving Along Various Parabola-Curved Paths by Hyunmu Kang, Eunjung Kang, Hosung Choo

“…We analyze the communication link of an LEO satellite considering interference sources moving along various parabola-curved paths. …”
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NOMA Performance Improvement with Downlink Sectorization by Hurianti Vidyaningtyas, . Iskandar, . Hendrawan, Aloysius A. Pramudita

“…The primary objective is to improve system performance by implementing a downlink sectorization strategy, which groups users into distinct sectors to manage interference and optimize resource allocation. A Sequential Power Allocation (SePA) algorithm was introduced to enhance power distribution within sectors, aiming to maximize both user capacity and overall sum rate. …”
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Semiconductor Wafer Flatness and Thickness Measurement Using Frequency Scanning Interferometry Technology by Weisheng Cheng, Zexiao Li, Xuanzong Wu, Shuangxiong Yin, Bo Zhang, Xiaodong Zhang

“…To this end, this paper proposes a high-precision facet reconstruction method for SiC/Si structures, which combines harmonic spectral domain decomposition, refractive index gradient constraints, and partitioning optimization strategy, and introduces interferometric signal “oversampling” and weighted fusion of multiple sets of data to effectively suppress higher-order harmonic interferences, and to enhance the accuracy of phase resolution. …”
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Calibrating the microparameters of DEM models using the ant colony optimization algorithm and the optimal hyperparameters by Pingyang Fan, Junhua Chen, Yongjun Liao, Jiangshui Zhao, Min Wang

“…In this work, to obtain the proper set of micro-parameters, a calibration framework is proposed that uses the ant colony optimization algorithm. In contrast to other micro-parameter calibration techniques, no dataset is prepared, and the calibration process is controlled by the Python script language without any human interference. …”
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Independent and interactive roles of hirudin and HMGB1 interference in protecting renal function by regulating autophagy, apoptosis, and kidney injury in chronic kidney disease by Ying Li, Xuan Gao, Yao Chen, Huihui Li, Jing Tang, Wei Sun

“…It also lowered the renal coefficient (p<0.001) and apoptosis levels. The optimal effective concentration of hirudin in vitro was determined to be 4.8 ATU/mL (p<0.001). …”
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dCas12a-mediated CRISPR interference for multiplex gene repression in cyanobacteria for enhanced isobutanol and 3-methyl-1-butanol production by Hao Xie, Barbara Bourgade, Karin Stensjö, Peter Lindblad

“…Despite these advances, the achieved IB/3M1B titers remain low. CRISPR interference (CRISPRi), an emerging tool for targeted gene repression, has demonstrated success in various cellular systems to enhance biochemical productivity. …”
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Preparation and application of Eucommia ulmoides rubber and epoxy resin-coated polymeric-based electromagnetic interference shielding composites combined with electromagnetic field... by Guo-Kai Zhao, Fan Yang, Yi-Fan Wang, Xue-Feng Yao, Jia-qing Xie, Ming-Qiang Zhu

“…Moreover, a series of shielding layer simulation models were gradually optimized based on the composite to directly prove that electromagnetic waves can be effectively absorbed. …”
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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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Self-Mixing Interferometer Based on Frequency Analysis Method for Accurate Refractive Index Measurement by Yongbing Zhang, Yingbin Wei, Chenxi Chen, Wencai Huang, Xiulin Wang, Huizhen Xu

“…A new method based on self-mixing interference (SMI) for refractive index measurement by means of simply frequency analysis is proposed. …”
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A Study on an Anti-Multiple Periodic Frequency Modulation (PFM) Interference Algorithm in Single-Antenna Low-Earth-Orbit Signal-of-Opportunity Positioning Systems by Lihao Yao, Honglei Qin, Hao Xu, Deyong Xian, Donghan He, Boyun Gu, Hai Sha, Yunchao Zou, Huichao Zhou, Nan Xu, Jiemin Shen, Zhijun Liu, Feiqiang Chen, Chunjiang Ma, Xiaoli Fang

“…However, no in-depth studies have been conducted on their anti-jamming performance, particularly regarding the most common type of interference faced by ground receivers—Periodic Frequency Modulation (PFM) interference. …”
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Peptide-directed interference of PD-1/PD-L1 binding increases B lymphocyte function after infectious bursal disease viral infection by Qiuyu Zhang, Guopeng Sun, Feng Yue, Zhike Liu, Peng Li, Yanping Zhu, Yangzhao Zhu, Ruiyan Niu, Zilong Sun, Xuannian Wang, Gaiping Zhang

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Research on Modeling and Simulation of Mixed EMI Filter

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Imatinib detection by memristive biosensors for therapeutic drug monitoring by Junrui Chen, Lavinia Alberi, Yuan Pétermann, Thierry Buclin, Monia Guidi, Sandro Carrara

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Research on the Application of Variational Mode Decomposition Optimized by Snake Optimization Algorithm in Rolling Bearing Fault Diagnosis by Houxin Ji, Ke Huang, Chaoquan Mo

“…To address this problem, this paper proposes a method by using a snake optimization algorithm to optimize variational mode decomposition (SOA-VMD) and applies it to the extraction of the fault feature of rolling bearing. …”
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Path Optimization Strategy for Unmanned Aerial Vehicles Based on Improved Black Winged Kite Optimization Algorithm by Shuxin Wang, Bingruo Xu, Yejun Zheng, Yinggao Yue, Mengji Xiong

“…The algorithm is simulated and analyzed alongside other swarm intelligence algorithms by utilizing the CEC2017 test function set. The optimization outcomes of the test functions and the function convergence curves indicate that the TGBKA demonstrates superior optimization precision, a quicker convergence speed, as well as robust anti-interference and environmental adaptability. …”
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