This paper will conclude the integration between smart interior design and Artificial Intelligence including sustainability within design principles and functions. Presenting "Empower hub" a center that is s...
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In order to build a real-time intelligent analysis rule base of distribution network monitoring information, a construction method of intelligent analysis rule base of distribution network monitoring information based...
In order to build a real-time intelligent analysis rule base of distribution network monitoring information, a construction method of intelligent analysis rule base of distribution network monitoring information based on machine learning is proposed. All the monitoring rule heads in the rule base are sorted and set as the main chain, and the rules are imported into the linked list to generate the rule set, so as to ensure that each monitoring information packet has an analysis rule; the machine learning based fault data classification method of distribution network is used to identify the fault data in the monitoring information of distribution network, and extract the frequent item sets of fault data. The parallel incremental updating algorithm of association rules based on MapReduce is used to update the information intelligent analysis rules in the analysis rule based, so as to ensure the real-time performance of the information intelligent analysis rules in the analysis rule base. The experimental results show that the accuracy and the average detection rate of the proposed method are greater than 0.97, and the false positive rate is 0.01. The proposed method can identify the real-time fault information of the distribution network monitoring system in time, and ensure the real-time updating of information intelligent analysis rules.
In this paper, a novel multi-sensor information fusion (MSIF) monitoring system of photovoltaic (PV) power station is proposed, which can solve the difficulty in determining the dust accumulation degree of PV power st...
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To address the challenges of complex and time-consuming deployment, poor environment isolation, and difficult maintenance in Big data experiments, we build an experiment education platform, Kube-Clould Classroom (Kube...
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Microgrids, as a crucial component of distributed energy systems, encounter intricate optimization and scheduling issues. Aiming to improve the effectiveness of deep learning methods in micro grids when constrained, t...
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Phishing attacks are now one of the prevalent dangers that firms, service providers and internet users must deal with. Rather than targeting software vulnerabilities, it targets human vulnerabilities. It is the act of...
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Cryptocurrencies are a revolution in the domain of economics, currency, and trade, Bitcoin being the prime among them. With the ever increasing demand and limited number of bitcoins available, bitcoin as well as other...
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learning disabilities specifically Dyslexia, Dysgraphia and Dyscalculia affect around 10% of children, holding back with their academic performance along with long term consequences such as taking a toll on their self...
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This paper mainly uses support vector machine, random forest, logistic regression, and other machine learning algorithms to analyze the core data of listed companies, and then monitor their operating conditions and pr...
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We have studied the application platform of college English teaching based on Hadoop data bus. The working principle of college English teaching application research is to use artificial intelligence (AI) to analyze t...
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