To address the issues of low intelligence and insufficient positioning accuracy in traditional grounding wires, this paper designs a novel intelligent grounding wire device. Utilizing a modular design approach, the de...
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To make more rational use of medical resources and WSN system and improve the efficiency of nursing service, we adopt Zibee technology to establish WSN network nodes and complete the corresponding systemdesign scheme...
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To fully utilize limited energy resources and address the inefficiencies in existing energy management, the authors proposed a comprehensive energy monitoring systemdesign based on cloud computing, starting from the ...
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ISBN:
(纸本)9798350390230;9798350390223
To fully utilize limited energy resources and address the inefficiencies in existing energy management, the authors proposed a comprehensive energy monitoring systemdesign based on cloud computing, starting from the perspective of system network architecture. This system leverages existing resources effectively and incorporates overall scheduling, real-time monitoring, and predictive functionalities. The system operates on a cloud computing platform, processing data from three types of energy metering devices generated by sensors (electricity meter, water meter, gas meter) to provide users with real-time energy consumption data, represented as (0.50, 0.23, 0.10). These values are very close to the actual power consumption values (0.47, 0.21, 0.08), within an acceptable energy consumption range, achieving an average accuracy of 98%. This proves the high accuracy of cloud computing in remote real-time data transmission. Furthermore, the system utilizes the high reliability and scalability of cloud computing to offer integrated resource management, customized application, and virtualization platform switching services to customers, enabling information-based management of energy reserves, consumption, and equipment operation.
With the increasing improvement of China’s economic status and the increase of foreign exchanges of traditional Chinese medicine, the importance of medical translation has gradually increased. The English translation...
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To solve the contradiction between the low combat effectiveness and small scope of action of single unmanned equipment and the difficulty of unmanned clusters to focus on the core value of the battlefield and the low ...
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The rapid development of artificial intelligence technology promotes the gradual evolution of the 'three integration' of mechanization, informatization and intelligence. The mass data characteristics of airbor...
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Multiple-input, multiple-output (MIMO) technology has become a very promising wireless communication method. It presents a possible solution for solving traffic capacity constraints in high-speed wireless broadband ne...
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Artificial intelligence-driven design is a key topic discussed in the field of current art and design. For example, intelligent computer mapping belongs to mathematical modeling, in which to build artificial intellige...
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To improve the level of roughness detection in the construction process of mining tunnels, scholars domestic and abroad have combined 3D laser scanning with other information technology to achieve certain research res...
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The proceedings contain 1065 papers. The topics discussed include: Morse Code to text converter using Arduino;blink-an intelligent personal assistant for enhancing accessibility for differently-abled people;a novel cl...
ISBN:
(纸本)9798331300579
The proceedings contain 1065 papers. The topics discussed include: Morse Code to text converter using Arduino;blink-an intelligent personal assistant for enhancing accessibility for differently-abled people;a novel clustering and optimization strategy for network lifetime enhancement in wireless sensor network;an application of voice mail: email services for visually impaired;enhancing spam detection accuracy using genetic algorithm;design and implementation of modified bidirectional converter;farming tool leverage system and expert chat;smart mobility assistive device for paretic people;brain stroke prediction through MRI using deep learning techniques;effective hyper-parameter tuning of machine learning model for analysis drinking water quality;touchless hand sanitizer dispenser - San Master;cyber hygiene in higher educational institutes;and submodule level configuration for PV system Performance Improvement under Partial Shading.
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