Due to the whole system knowledge of uncertain environment cognition should be represented in a single form. Ontology model for uncertain environment cognition of unmanned maritime systems was proposed. The decision-m...
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Due to the whole system knowledge of uncertain environment cognition should be represented in a single form. Ontology model for uncertain environment cognition of unmanned maritime systems was proposed. The decision-making module of unmanned maritime systems can directly and dynamically obtain uncertain environment cognitive results of different ranks and types at various stages. The results of simulating experiments indicate that the developed ontology model proves effective and embodies the sharing and reuse of knowledge, interoperability of system.
With an increasing number of medical device features being implemented in code, the amount of software that is present in a modern device as well as its complexity and criticality has grown sharply over the years. Exi...
With an increasing number of medical device features being implemented in code, the amount of software that is present in a modern device as well as its complexity and criticality has grown sharply over the years. Existing quality-control regimes for software, dependent as they are on traditional inspection and ad-hoc testing techniques, has been unable to meet many of these challenges. The numbers tell the story. In 1998, close to 8% of device failures could be traced to software errors. Currently, the number of device recalls due to software problems is believed by some to be about 18%.
Face recognition service has been used in many fields and brings much convenience to people. However, once a user's facial data is transmitted to a service provider, the user will lose control of his/her private d...
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Due to the strict energy limitation and the common vulnerability of WSNs, providing efficient and security data gathering in WSNs becomes an essential problem. Compressive data gathering, which is based on the recent ...
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To solve the water hammer equations,the meshless particle methods are systematically analyzed and *** on Taylor series expansion and kernel approximation,a unified matrix formulation of the SPH and its corrections is ...
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To solve the water hammer equations,the meshless particle methods are systematically analyzed and *** on Taylor series expansion and kernel approximation,a unified matrix formulation of the SPH and its corrections is developed,with a further improvement to the derivative *** assuming that the compact support of the kernel is fully within the problem domain,numerical errors are *** aiming to the extended application of the particle methods,enforcement of boundary conditions associated with water hammer equations is presented and *** water hammer cases with instantaneous and linear valve closing are studied.
The Internet of Things (IoT) connects numerous intelligent devices providing security features that interact with default settings accessed through applications. Additionally, Deep Learning (DL)-based mechanisms was i...
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Tibet, ensconced within China’s territorial expanse, is distinguished by its labyrinthine and heterogeneous topography, a testament to its profound historical heritage, and the cradle of a unique religious ethos. The...
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ISBN:
(数字)9798350374377
ISBN:
(纸本)9798350374384
Tibet, ensconced within China’s territorial expanse, is distinguished by its labyrinthine and heterogeneous topography, a testament to its profound historical heritage, and the cradle of a unique religious ethos. The very essence of these attributes, however, has impeded the advancement of Tibet’s tourism service infrastructure, rendering existing smart tourism services inadequate for the region’s visitors. This study delves into the ramifications of informational disparities at tourist sites on Tibetan tourism and addresses the challenge of establishing the Large Language Model (LLM) evaluation criteria. It introduces an innovative approach, the DualGen Bridge AI system, employing supervised fine-tuning techniques to bolster model functionality and enhance optimization processes. Furthermore, it pioneers a multi-structured generative results assessment framework. Empirical validation confirms the efficacy of this framework. The study also explores the application of the supervised fine-tuning method within the proprietary DualGen Bridge AI, aimed at refining the generation of tourist site information. The study’s findings offer valuable insights for optimizing system performance and provide support and inspiration for the application of LLM technology in Tibet’s tourism services and beyond, potentially revolutionizing the smart tourism industry with advanced, tailored information generation capabilities.
Tibet, ensconced within China’s territorial expanse, is distinguished by its labyrinthine and heterogeneous topography, a testament to its profound historical heritage, and the cradle of a unique religious ethos. The...
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The node localization in Wireless Sensor Network (WSN) presently plays an important role in the field of applications. Particle Swarm Optimization (PSO) algorithm is a typical swarm intelligence method. Researchers pr...
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The node localization in Wireless Sensor Network (WSN) presently plays an important role in the field of applications. Particle Swarm Optimization (PSO) algorithm is a typical swarm intelligence method. Researchers propose many PSO variants and try to apply PSO algorithm to the related problems in WSN. This paper focuses on the WSN node localization using PSO algorithm. This paper conducts the experiment simulation, comparison and evaluation work in the node localization using PSO algorithm. The performance of different PSO variants with different population topologies is analyzed. Experiment simulations show that WSN node localization using PSO algorithm can get good performance in ring topology and square topology. In particular, the two newly proposed PSO variants (GDPSO and LDPSO) have good performance on this problem. This paper proposes some useful conclusions, which will provide a valuable reference to WSN engineering field.
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