Distributed Cognitive Radio Spectrum Access with Imperfect Sensing Using CTMC by K. Muthumeenakshi, S. Radha

“…In this paper, a primary prioritized distributed DSA algorithm using continuous-time Markov chain (CTMC) model is proposed. …”
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High spectral efficiency SSB-PAM-DD scheme with high linewidth tolerance by Dongxu LU, Xian ZHOU, Fei LIU, Jiahao HUO, Jinhui YUAN, Keping LONG

“…For low-cost and high chromatic dispersion (CD) robustness single sideband (SSB) with direct detection (DD), three schemes of SSB with pulse amplitude modulation (PAM) were investigated.Among that, the highest spectral efficiency was achieved by the scheme of adding the frequency down-conversion at the transmitter.However, that scheme reduces the tolerance for laser linewidth.Hence, based on the character of the SSB-PAM signal, a DSP scheme was proposed, including a modified equalization algorithm with phase distortion immunity and blind phase search algorithm.The simulation results show that the modified scheme can tolerate 1 MHz linewidth for 112 Gbit/s SSB-PAM-DD, while the original scheme for SSB-PAM was only 100 kHz at the same bit error rate (BER) threshold.Therefore, the proposed scheme can achieve a high frequency efficiency, high linewidth tolerance, and low-cost SSB-PAM signaling transmission.…”
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Shaping the future of commercial quantum computer and the challenge for information security by Chao WANG, Yun-jiang WANG, Feng HU

“…The progress on universal quantum computer devices is show, so that attacking the 1 024 bit RSA by Shor algorithm is impractical currently. The modern cryptography still has strong security. …”
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Research on multi-objective control of PPCI diesel engine combustion process based on data driven modelling by Ziqiang Chen, Peng Ju, Zhe Wang, Du Huang, Lei Shi, Kangyao Deng

“…In addition, the study validated the real-time performance and control effect of the algorithm, the experimental results indicate that the execution time of the control algorithm is approximately 5.59 milliseconds, which satisfies the real-time control requirements for the combustion process. …”
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Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

“…The t-SNE algorithm is employed to visualize features extracted from different network layers of the chatter detection model. …”
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A novel data augmentation tool for enhancing machine learning classification: A new application of the higher order dynamic mode decomposition for improved cardiac disease identifi... by Nourelhouda Groun, María Villalba-Orero, Lucía Casado-Martín, Enrique Lara-Pezzi, Eusebio Valero, Jesús Garicano-Mena, Soledad Le Clainche

“…These results show the great potential of using the HODMD algorithm as a data augmentation technique.…”
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Combining Software-Defined and Delay-Tolerant Networking Concepts With Deep Reinforcement Learning Technology to Enhance Vehicular Networks by Olivia Nakayima, Mostafa I. Soliman, Kazunori Ueda, Samir A. Elsagheer Mohamed

“…This algorithm is trained and validated with a simulation environment modelling the network nodes, routing protocols and buffer schedules. …”
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SAR Image Simulation for Crater Terrain Using Formation Theory-Based Modeling and Hybrid Ray-Tracing by Ya-Ting Zhou, Yongsheng Zhou, Qiang Yin, Fei Ma, Fan Zhang

“…Finally, simulated SAR images of the crater terrain are generated using the SAR echo fast time-frequency domain simulation algorithm and the chirp scaling imaging algorithm. …”
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Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures by Hae-Chang Cho, Hyunjin Ju, Jae-Yuel Oh, Kyung Jin Lee, Kyung Won Hahm, Kang Su Kim

“…The proposed ANFIS algorithm closely estimated the carbonation depths, and it is considered that, with further inspection data, a higher accuracy would be achieved. …”
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Enhanced Sensor Placement Optimization and Defect Detection in Structural Health Monitoring Using Hybrid PI-DEIM Approach by Minyoung Yun, Mikhael Tannous, Chady Ghnatios, Eivind Fonn, Trond Kvamsdal, Francisco Chinesta

“…Subsequently, the identified sensors are utilized in a novel defect detection approach, leveraging a semi-intrusive reduced order modeling and genetic search algorithm for fast and reliable defect detection. The proposed algorithm has successfully located defects with low error, especially when using hybrid sensors, which combine the most critical sensors identified through both PI and DEIM. …”
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Modeling a Driver’s Directional and Longitudinal Speed Control Based on Racing Track Features by Jianfeng Wang, Weihua Li, Jun Li, Yiqun Liu, Baoyu Song, Haibo Gao

“…The simulation confirmed the effectiveness of the improved predictive point search algorithm and the integrated driver model to control the direction and speed for an arbitrary path.…”
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Dynamic Multiobjective Optimization with Multiple Response Strategies Based on Linear Environment Detection by Qiyuan Yu, Shen Zhong, Zun Liu, Qiuzhen Lin, Peizhi Huang

“…Dynamic multiobjective optimization problems (DMOPs) bring more challenges for multiobjective evolutionary algorithm (MOEA) due to its time-varying characteristic. …”
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Neural Network Predictive Control for Vanadium Redox Flow Battery by Hai-Feng Shen, Xin-Jian Zhu, Meng Shao, Hong-fei Cao

“…The gradient descent algorithm is used to optimize the objective function of the predictive controller. …”
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Path Following Control of an AUV under the Current Using the SVR-ADRC by Zheping Yan, Yibo Liu, Jiajia Zhou, Di Wu

“…The trend of change about ELSEF coefficients in the simulation proves that the designed SVR algorithm maintains the characteristics of astringency and stability. …”
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PID Control for Electric Vehicles Subject to Control and Speed Signal Constraints by Amanda Danielle O. da S. Dantas, André Felipe O. de A. Dantas, João Tiago L. S. Campos, Domingos L. de Almeida Neto, Carlos Eduardo T. Dórea

“…The results showed that the proposed algorithm can be used to generate control actions taking into account the armature voltage and angular velocity limits. …”
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Optimal Deployment and Scheduling with Directional Sensors for Energy-Efficient Barrier Coverage by Lu Zhao, Guangwei Bai, Yanhui Jiang, Hang Shen, Zhenmin Tang

“…Simulation results are presented to demonstrate the performance of this algorithm.…”
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Reduction of Multidimensional Image Characteristics Based on Improved KICA by Jia Dongyao, Ai Yanke, Zou Shengxiong

“…Dimensionality reduction and optimization of characteristic parameter model based on improved kernel independent component analysis are proposed in this paper; the independent primitives are obtained by KICA (kernel independent component analysis) algorithm to construct an independent group subspace, while using 2DPCA (2D principal component analysis) algorithm to complete the second order related to data and further reduce the dimension in the above method. …”
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Fault Diagnosis of Lithium Battery Modules via Symmetrized Dot Pattern and Convolutional Neural Networks by Meng-Hui Wang, Jing-Xuan Hong, Shiue-Der Lu

“…This paper proposes a hybrid algorithm combining the symmetrized dot pattern (SDP) method and a convolutional neural network (CNN) for fault detection in lithium battery modules. …”
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Research on Loading and Unloading Resource Scheduling and Optimization of Rail–Road Transportation in Container Terminal Based on “Internet +” —for Ghana Container Port Development... by Qi Zhang, Adjei Courage Kwabla, Yanhui Zhuang, Mingjun Ling, Yuguang Wei, Hao Yang

“…In order to solve the model, a multi-layer coding genetic algorithm with chromosome feasibility is designed to obtain the optimal scheduled time for the truck, and the optimal operation sequence of the gantry crane. …”
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Self-Organizing Method on Mission-Level Task Allocation of Large-Scale Remote Sensing Satellite Swarm by Yang Jiang, Yuan Gao, Longjiang Yu, Jing Yu, Yuting Li, Hongtao Gao

“…A distributed task allocation method based on the improved contract network algorithm is designed, orienting typical mission-level tasks. …”
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