With the emergence of next-generation fiber materials and development sensors wearable technologies, new breakthroughs also emerge in field fabrics. By combining fabrics with sensors, artificial intelligence other intelligent create an intelligent, flexible adaptive performance, thus meeting people's needs better becoming more acceptable to users than traditional Nevertheless, present have some shortcomings, such as insufficient interactive ability, narrow scope applications, poor ability...

The Cognitive Internet of Vehicles (CIoV) introduces a cognitive engine in the traditional Vehicles, which can realize more intelligent functions such as vehicle deployment and resource allocation. Especially terms content caching, perceive requirements users match providers requesters to improve caching hit rate. However, during this process, may worry that their privacy data be leaked. Content need submit about points interest contents, is part sensitive information. In addition, rapid...

The outbreak of the corona virus disease 2019 (COVID-19) has caused serious harm to people’s physical and mental health. Due situation epidemic, a lot negative energy information increases psychological burden. However, effective interventions against health problems are not in abundance. To address such challenges, this article, we propose concept describe that impact on achieve measurement information, level inversely measures degree information. Specifically, design system measure used...

This article proposes a novel ultralarge-scale crowd monitoring system, namely, the ULCM system. The system enables advanced sensing and networking technologies aimed at collecting processing multimodal, multiperspective, real-time crowding data relevant to management. will be further analyzed provide global realization of evolving events over large geographical area as they occur in real time. is infrastructure component an intelligent platform that being developed by our research group...

Current artificial intelligence (AI) technology is used mainly in rational work, i.e., computational and logical analysis. How to best make the machine as aesthetic creative humans has gradually gained attention. This article presents a unique, game system called CreativeBioMan. combines brain wave multimodal emotion data uses an AI algorithm for intelligent decision fusion, which can then be artistic creation with goal being separate artist from repeated labor creation.

With the development of technologies such as Internet Things and artificial intelligence, mobile applications are becoming more intelligent. Compared to traditional realized by cloud computing technology, these novel have a higher requirement for task offloading scheme. However, schemes hard pressed meet latency personalization requirements new applications. For intelligent application, how realize personalized fine-grained is still challenging problem. Therefore, we propose scheme called...

The emergence of mobile edge computing (MEC) technology has deployed clouds with strong capabilities closer to Internet Thing (IoT) devices, which can effectively meet the demands for power and latency. However, in addition stringent latency requirements, more emerging IoT applications also have higher standards freshness timeliness collected information. In order ensure high-information value system, we propose an Age Information (AoI)-based optimization strategy computation offloading...

Multinomial Naive Bayes with Expectation Maximization (MNB-EM) is a standard semi-supervised learning method to augment (MNB) for text classification. Despite its success, MNB-EM not stable, and may succeed or fail improve MNB. We believe that this because lacks the ability preserve class distribution on words. In paper, we propose novel by leveraging word-level statistical constraint The constraints are further converted document posteriors generated MNB-EM. Experiments demonstrate our can...

The global outbreak of the 2019-nCoV pneumonia has led to illness and loss life for a large number people. Many countries built medical-emergency facilities in remote areas isolate infected people an attempt contain spread virus. Various wearable devices based on smart new fabrics can collect life-relevant data from patients continuous basis. However, computing capacity battery energy are limited. Prolonging cycle system as long possible, while guaranteeing effectiveness monitoring tasks...

The rapid development of the wearable technology brings an explosive growth devices and imposes a new challenge to current network. This is because require real-time interaction data processing. To cope with this realize reasonable utilization resources, paper first introduces network slice-based 5G networks, including ultra-dense cellular network, edge caching, computing. Then, in order service aware efficient management slicing we propose data-driven resource framework which includes...

Bearings are widely applied in rotating machinery of nuclear power plants (NPPs). Data-driven fault diagnosis technology is critical to ensuring the reliable operation machinery. Aiming at problem poor model generalization ability caused by discrepant data distribution monitoring signals under various working conditions, a deep transfer learning method based on fully categorized alignment subdomain adaptation (FCA-SAN) proposed this paper. Firstly, bearing vibration source and target...

With the rapid development of technologies, such as 5G, cloud computing, and artificial intelligence, smart cities are gradually being implemented from a concept to actual deployment. A city integrates management multiple internet things (IoT) terminals improve urban provide people with better way life. As mobile flexible terminal form IoT, sensing fabric has been widely used in cities. In this article, new generation is combined city, an emotion-guided interaction architecture living...

Motivated by Tiku and Vaughan, we consider a type of distribution which is generalization the short-tailed symmetric distribution. In particular, asymptotic behavior Mills’ ratios for family. Meanwhile, obtain partial maximum an independent identically distributed sequence from

During adaptive learning of symbols in sketch-based interfaces,the number training samples may be different for users and it is challenging recognition methods to learn with flexible sample numbers.This paper proposes an symbol method interfaces.It combines template matching that could few SVM more by a strategy related numbers.Both online information offline are utilized.Thus recognize numbers.Based on the proposed method,the authors build widget supports recognition.At last,a prototype...

Abstract This paper is based on the application of digital twin technology for nuclear power plant rotating equipment, aiming at relying virtual model to truly reflect characteristics, performance and operation equipment develop a fault diagnosis system architecture, which uses Unity3D as carrier, combines MySQL BP neural network algorithm, realizes communication integration among client, database algorithm. The characterized by strong visualization, good interaction high accuracy.