Aiming at the low recognition rate of traditional gesture, a gesture recognition algorithm based on spatiotemporal graph convolution network is proposed in this paper. Firstly, the dynamic gesture data were preprocessed...
On the premise of guaranteeing the visual effect, in order to improve the security of the image containing digital watermarking and restore the carrier image without distortion, reversible data hiding in chaotic encryption...
With the increasing amount of medical data and the high dimensional and diversified complex information, based on artificial intelligence and machine learning, a new way is provided that is multi-source, heterogeneous, high...
This article is concerned with the problem of constructing lightweight MDS matrices. The authors present a new construction of 4 × 4 MDS matrices over GL(F2, m) for any integer m. They give sufficient and necessary conditions to...
Activation functions such as Tanh and Sigmoid functions are widely used in Deep Neural Networks (DNNs) and pattern classification problems. To take advantages of different activation functions, the Broad Autoencoder Features...
This paper proposes a lossless data hiding scheme in learning with errors (LWE)-encrypted domain based on key-switching technique. Lossless data hiding and extraction could be realized by a third party without knowing the...
In this chapter, the authors demonstrate how a university Art Education program assists the university art museum and trains students to lead tours for BRAINY (BRinging Arts INtegration to Youth), the museum's educational...
In the Netherlands, housing corporations are increasingly adopting self-service technologies (SSTs) to support affairs their tenants need to arrange. The purpose of the study is to examine the customers' motivations of using...
The problems of image mining and semantic image retrieval play an important role in many areas of life. In this paper, a semantic-based image retrieval system is proposed that relies on the combination of C-Tree, which was built...
Ever since Chinese telecommunications magnate, Wang Jing announced in 2013 that construction would be going ahead for an interoceanic canal in Nicaragua, the proposed megaproject has garnered considerable attention and...
Methods based on deep learning have great utility in the current field of sentiment classification. To better optimize the setting of hyper-parameters in deep learning, a hybrid learning particle swarm optimization with fuzzy...
In this chapter, how the complex technology of Second Life affects participation in an English course is investigated. With the aim of exploring gender issues, the special affordance of Second Life, i.e. voice-morphing together...
This paper aims to study the Countermeasures of big data security management in the prevention and control of computer network crime in the absence of relevant legislation and judicial practice. Starting from the concepts and...
Short text classification is a research focus for natural language processing (NLP), which is widely used in news classification, sentiment analysis, mail filtering and other fields. In recent years, deep learning techniques are...
With the change of information environment, the emergence of new technology, services, and new media, reference librarians and users have more choices in information acquisition methods, tools, and means. The reference...
The Liaoning Provincial Library is one of the largest and most well-functional libraries. It has the largest building area and provides abundant services to the public. The Liaoning Provincial Library mainly provides readers...
The gradual emergence of social commerce is enhancing the development of businesses. The opinions exchanged and information shared by each consumer in the community affects consumers’ purchasing decisions and participation...
The 2008 financial crisis has made many high-tech firms vulnerable. Some non-American firms (e.g. in Taiwan) have even granted their IT professionals a “no-pay break” to reduce firms' financial uncertainty. The crisis leads to a...
Improving the performance and reducing the cost of healthcare have been a great concern and a huge challenge for healthcare organizations and governments at every level in the US. Measures taken have included laws, regulations...
The industry sustainability in today's globalization relies on cost-effective supply chain management of diverse markets and logistics. Supply chain risks typically limit profits over the overall expense of the supply chain. In...
This chapter provides an overview of several recently proposed or passed privacy-related regulations, including General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Illinois Video Interview Act...
There are many interdependent computers available in distributed networks. In such schemes, overall ownership costs comprise facilities, such as computers, controls, etc.; buying hardware; and running expenses such as wages...
Characteristic development is a process of intentionally solidifying and cultivating something's uniqueness. This article analyzes the uniqueness of university library cultural services in comparison with those provided by other...
Based on the deep learning (DL) theory, the study takes the multinational corporation technology company A as the research target, and explores the impact of information technology (IT) management capabilities on the sustainable...