Can we understand van Gogh's mood from his artworks? For many years, people have tried to capture affects artworks so as the essential meaning behind images and catch on why Gogh created these works. In this paper, study problem of inferring in social networks. particular, aim answer: What are fundamental features that reflect authors images? How network information can be leveraged help detect affects? We propose a semi-supervised framework formulate into factor graph model. Experiments...

The display methods for traditional cultural heritage lack personalization and emotional interaction, making it difficult to stimulate the public’s deep awareness. This is especially true in commercialized historical districts, where value easily overlooked. Balancing commercial information has become one of challenges that needs be addressed. To solve above problems, this article focuses on identification values optimization Beijing’s Qianmen Street, proposing a framework mining based...

Aim This study aimed to develop a patient classification system that stratifies patients admitted the intensive care unit based on their disease severity and needs. Background Classifying into homogenous groups clinical characteristics can optimize nursing care. However, an objective method for determining such remains unclear. Methods Predictors representing workload were considered. Patients clustered subgroups with different results of clustering algorithm. A was developed using partial...

Xiaohui Wang, Ying Xiong, Yang Wei, Mingxuan Lei Li. Proceedings of the 2021 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies: Industry Papers. 2021.

Factory safety inspections are crucial for ensuring safe production. However, manual present issues such as low efficiency and high workload. Inspection robots provide an efficient reliable solution completing patrol tasks. The development of robot localization path planning technologies provides guarantees factory inspection to autonomously complete tasks in complex environments. This paper studies mapping localization, well methods order meet the application requirements inspections. Two...

With the application of artificial intelligence technology in power industry, knowledge graph is expected to play a key role grid dispatch processes, intelligent maintenance, and customer service response provision. Knowledge graphs are usually constructed based on entity recognition. Specifically, mining attributes relationships, domain can be through fusion. In this work, entities characteristics recognition analyzed, mechanism clarified, techniques analyzed context domain. Power...

Class imbalance occurs in many real-world applications, including image classification, where the number of images each class differs significantly. With imbalanced data, generative adversarial networks (GANs) leans to majority samples. The two recent methods, Balancing GAN (BAGAN) and improved BAGAN (BAGAN-GP), are proposed as an augmentation tool handle this problem restore balance data. former pre-trains autoencoder weights unsupervised manner. However, it is unstable when from different...

Bridges are fundamental facilities in the transportation system, and their operational performance is crucial for economic social development. Many large bridges now equipped with structural health monitoring (SHM) systems that collect various types of real-time data. However, our user study found despite accumulation massive amounts data, current analysis methods cannot efficiently process large-scale, high-dimensional To address this, we have developed BOPVis, a visualization system bridge...

Color transfer is to alter an image’s color composition by reference the characteristics of another image. In this paper, we build a system called artistic coloring that realizes automatic from famous paintings. It properly extracts wonderful paintings and applies them transfer. Specially, investigate traditional theme extraction methods find their deficiencies. Based on this, quantify processing human painting main colors in palette propose balanced algorithm aimed specially at experiments,...

With the construction of new power systems, grid has become extremely large, with an increasing proportion energy and AC/DC hybrid connections. The dynamic characteristics fault patterns are complex; additionally, control is difficult, operation risks high, task handling arduous. Traditional power-grid relies primarily on human experience. difference in lack knowledge reserve personnel restrict accuracy timeliness handling. Therefore, this mode no longer suitable for requirements systems....

Computed radiography is used for a wide range of projection examinations. To produce useful diagnostic images it necessary to apply an appropriate tone scale the raw CR data. This paper presents new automated scaling method computed and results clinical study algorithm encompassing

Wang, X., 2018. Virtual reality of 3D digital factory based on coastal environment. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port Ocean Engineering. Journal Coastal Research, Special Issue No. 83, pp. 507–512. Coconut Creek (Florida), ISSN 0749-0208.This paper establishes a complete virtual factory, to improve the production training efficiencies reduce labour intensity. First, interactive modes scenes are designed, especially those roam device operation detail. Then,...

With the low carbon emission target out of protecting environment, electric vehicle is a promising transportation tool. The number vehicles rising rapidly in recent years which creates lots corresponding charging demands. both users and piles rising, however, condition pile price electricity different district are not transparent for users. In order to promote benign interaction production, distribution consumption green power, merging blockchain technology strategy. Unchangeable traceable...

Retracted.

The commercial banks need identify exceptional client in their large number of customers to prevent abnormal customer's risk. In this paper, four types data detection method is introduced, present a new method- the k-medoids clustering algorithm combining genetic detect outlier. Finally, apply analysis credit sets, outlier and customer..

Images become an important and prevalent way to express users' activities, opinions emotions. In a social network, individual emotions may be influenced by others, in particular close friends. We focus on understanding how users embed into the images they uploaded websites influence plays role changing first verify existence of emotion image networks, then propose probabilistic factor graph based model answer questions "who influences whom". Employing real network from Flickr as experimental...