Short-term prediction of trimaran load based on data driven technology by Haoyun Tang, Rui Zhu, Qian Wan, Deyuan Ren

“…The research will improve the load prediction accuracy in the structural health monitoring systems and offer effective technical support for intelligent unmanned trimarans.…”
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FAULT DIAGNOSIS OF ROLLING BEARING BASED ON LEARNING SAMPLE SELECTION VIA CORRELATION ENERGY FLUCTUATION EVALUATION AND DEEP BELIEF NEURAL NETWORK (MT) by QIN Bo, LUO QuanYi, FENG WeiWei, ZHANG Peng, ZHAO ZhenHua, LI ZiXian, WANG Zhuo

“…The data-driven intelligent diagnosis of rolling bearing status suffers from low recognition rate due to the poor quality of learning samples in the process of identification model construction. …”
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Multi-agent resource allocation strategy for UAV swarm-based cooperative sensing by Zhihong WANG, Supeng LENG, Kai XIONG

“…Driven by the development of intelligent internet of things (IoT) technology, unmanned aerial vehicle (UAV) swarms have been widely used for sensing and monitoring in emergency and rescue scenarios.The UAVs automatically sense and discover mission targets in the mission area, recruiting neighboring UAVs to form perception and computation task groups to collaboratively complete the perception, acquisition and processing of data.However, repetitive sensory data and imbalance in the supply and demand of computational resources between multiple tasks cause additional computational and communication overheads and increase the end-to-end processing latency.To address this challenge, a multi-task resource allocation approach combining bionics and multi-agent independent reinforcement learning was proposed, making collaborative resource allocation decisions based on local task information.The method represents the resource requirements of individual tasks as situational information concentrations and dynamically updates the heterogeneous resource requirements of each task by spreading the situational information across task groups.At the same time, it combines multi-agent independent reinforcement learning methods for intelligent decision making in order to collaboratively allocate the heterogeneous resources of each task.Simulation results show that this solution can not only effectively reduce the task execution time, but also significantly improve the computational resource utilization.…”
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Weighted mixed regression localization method based on three-dimensional Voronoi diagram division by Fenfang LI, Xiaochao DANG, Zhanjun HAO

“…With the development of the wireless communication technology and sensing technology, various technologies based on wireless sensor networks are applied.These technologies are widely used in the fields of intelligent agriculture, intelligent transportation, fire rescue and so on.Node localization technology is one of the basic technologies of wireless sensor networks.Location information is a part of the sensing data, which determines the specific measures to be taken in the next step.Due to the complexity of the three-dimensional (3D) space localization environment, the application of the plane positioning method in 3D space will have some limitations.Aiming at above problems, the weighted hybrid regression location algorithm WMR-SKR based on a 3D Voronoi diagram was studied.The localization algorithm was divided into two stages: offline training and online testing.The 3D space was divided into Voronoi diagrams according to the anchor nodes in the network.In the offline training stage, the sequence composed of the coordinates of the anchor nodes and Voronoi cell vertices was used as the training set for training.In the online test stage, the coordinates of unknown nodes in the network were predicted through the trained localization model.Simulation results show that the WMR-SKR algorithm can effectively reduce the node localization error and improve the node localization speed in 3D space.…”
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Impacts and challenges of industry 4.0 in manufacturing: a systematic literature review by Tamires Fernanda Barbosa Nunes, Roselaine Ruviaro Zanini, Ariane Ferreira Porto Rosa, Lizandra Garcia Lupi Vergara

“…The digital transformation proposed by Industry 4.0 is driven by intelligent manufacturing processes, digitalization, flexibility, integration of systems, and real-time analysis of big data generating intelligent processes and services oriented to customer needs. …”
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Did God Cause the World by an Act of Free Will, According to Aristotle? A Reading Based on Thomistic Insights by Carlos A. Casanova

“…In such passages, Aristotle holds that (1) God’s causal power must be exercised not in proportion to the magnitude of divine power, but to the requirements of the effect; (2) such a way of acting is similar to human power; (3) nature is subject to teleology because it is caused by an intellectual power; (4) God is the highest intelligible and the highest good, totally autarchic; and (5) just as the highest intelligible is simultaneously also intellect, so too is the highest good simultaneously also will.…”
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Fuzzy filtering‐based fault detection for a class of discrete‐time conic‐type nonlinear systems by Jiancheng Wang, Shuping He

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Echinococcosis: From Parasite–Host Interaction to Rapid Detection by Ting Zhang, Zheng Feng

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A New Hybrid Algorithm for Convex Nonlinear Unconstrained Optimization by Eman T. Hamed, Huda I. Ahmed, Abbas Y. Al-Bayati

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Chaos in a System with an Absolute Nonlinearity and Chaos Synchronization by Victor Kamdoum Tamba, Karthikeyan Rajagopal, Viet-Thanh Pham, Duy Vo Hoang

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Development of a System to Assist Automatic Translation of Hand-Drawn Maps into Tactile Graphics and Its Usability Evaluation by Jianjun Chen, Noboru Takagi

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Corrigendum to “Influenza and the risk of active tuberculosis occurrence among individuals with latent tuberculosis infection: A national cohort study in South Korea (2015–2020)” [... by Jaehee Lee, Hyewon Seo, Dohyang Kim, Jinseub Hwang, Jin-Won Kwon

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Stabilization of the FO-BLDCM Chaotic System in the Sense of Lyapunov by Ping Zhou, Rongji Bai, Hao Cai

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Editorial: Infections in the intensive care unit, volume II by Lihui Wang, Bin Lin, Bin Lin, Zhongheng Zhang, Zhongheng Zhang, Yuetian Yu, Yuetian Yu

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Monitoring interaction between universities and educational institutions when working with gifted youth by S. A. Piyavsky, Z. F. Kamaldinova, V. V. Kozlov, YU. I. Nudelman, R. B. Shatalov, G. P. Savelieva, E. A. Fedorova

“…This article shows how using modern intelligent tools for collecting, processing and analyzing information it is possible to ensure centrally coordinated by a roll-call monitoring and supportof talented young people. …”
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Complex Risk Statistics with Scenario Analysis by Fei Sun, Yichuan Dong

“…Complex risk is a critical factor for both intelligent systems and risk management. In this paper, we consider a special class of risk statistics, named complex risk statistics. …”
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Research on Network Architecture for the Space-Integrated-Ground Information Network in 6G by Hui XU, Shaohui SUN

“…The requirements and the fl exible and reconfi gurable network architecture for the space-integrated-ground information network was proposed based on analyzed the 6G network vision and challenges faced by the space-integrated-ground information network.Based on the proposed network architecture, the intelligent network management and control architecture and the virtualization technology of the space-integrated-ground information network were proposed to realized the dynamic confi gurability of the network.…”
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Comprehensive multi-metric analysis of user experience and performance in adaptive and non-adaptive lower-limb exoskeletons. by Krongkaew Supapitanon, Tanyaporn Patathong, Chaicharn Akkawutvanich, Arthicha Srisuchinnawong, Worachit Ketrungsri, Poramate Manoonpong, Patarawan Woratanarat, Chanika Angsanuntsukh

“…All participants were assigned into two groups to receive an alternate sequence of walking with the intelligent mode or the default mode of the lower-limb exoskeleton Exo-H3 at high and normal speed. …”
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Research and application of spectrum re-farming method for GSM900 network oriented to IoT by Wei-dong XU, Jun ZHOU, Xiao-qiang GONG, Ke WU, Ye DENG

“…With the decrease of the wireless utilization rate of GSM900 network at present,the rapid development of LTE services and the growing maturity of the IoT (Internet of Things) technology,in order to optimize the spectrum resources carrying efficiency,the GSM900 network will be used for other networks such as the IoT.How to carry out spectrum re-farming of GSM900 network based on intelligent automatic frequency optimization system (AFOS) and its practical application is studied.…”
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A Total Solution of Voice Search on Smart STB by Lin Wang, Qing Xiao, Yufei Ma

“…Based on the new business requirements in network convergence, the demand of intelligent voice search service was analyzed. And a systematic solution of voice search on smart STB was presented, including functionality analysis, and comparison with similar products. …”
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