CNIOT

Emotional intelligence is the key to making machines more human-like. Current researches on emotion recognition usually focus on a single modality (e.g., facial expressions, speech), while human emotional expression is inherently multi-modal. Therefore, ...

Fire and rescue task need to master a variety of UAV information. Therefore, the transmission and aggregation of information for firefighting UAV is an urgent need. This paper develops a fire UAV integrated information management system, unify the ...

With social media increasingly used to create or plan arts, the role of the audience changes greatly and citizen curation emerges. Therefore, posts in social media become a new curation target and social media make the citizen curator easier to be seen, ...

Due to the needs of complex application scenarios and various functional requirements, future networks require the coexistence of multiple identifiers. However, there is still a lack of a unified routing strategy for networks that coexist multiple ...

With the development of integrated land-sea-air network planning and underwater communication technology in the 6G network, there are more and more researches on underwater communication. The underwater wireless communication simulation platform ...

Modern Internet services are often complex, large-scale distributed systems that consist of multiple software modules which may be developed by different teams using different programming languages. This multi-team collaboration and multiple development ...

With the continuous development of equipment management digitization and networking, the information management mode of enterprise equipment inspection has become a major trend in enterprise equipment management. Aiming at the problems of traditional ...

Aiming at the problems of low detection efficiency and high cost in the traditional counting process of medicine boards, a statistical algorithm of medicine plates based on high-frequency extraction and contour information is proposed. Firstly, It is ...

Aiming at the problem of inaccurate number of bagged medicines in the packing boxes of the medicine production line, a method for counting medicine bags based on machine vision is proposed. This method firstly performs grayscale, image scaling, cropping,...

In recent years, Wireless Sensor networks (WSNs) have developed rapidly and have been widely used in various fields such as commerce, agriculture, military affairs and the environment. However, with the development of technology and the increasing ...

In this paper, we aim to propose a wildlife tracking scheme for forest areas similar to the greater Khingan mountains in China. The classic outdoor positioning technology, such as global navigation satellite system (GNSS), has the advantages of all-...

With the continuous progress of society, the whole world has paid increasing attention to community corrections, and community corrections have been widely promoted and applied. However, the popularization and promotion of community corrections are ...

Aspect-Based Sentiment Analysis (ABSA) is a kind of sentiment analysis, which extracts opinions expressed for all aspects of the entity. Compared with document-level and sentence-level sentiment analysis tasks, aspect-level sentiment analysis tasks are ...

The traditional community correction model adopts the method of artificially formulating correction strategies, which has problems such as strong subjectivity and inconsistent judicial level. Because of the wide distribution of community corrections ...

With the trend of growing number of processing cores on Chip Multiprocessors, researchers have made a lot of efforts to make full use of core resources through extracting programs’ parallelism. Thread-Level Speculation (TLS) can speculatively ...

Abstract—Obstacle avoidance detection of small UAVs has been a challenging problem because of size and weight constraints. In this paper, a fusion of MMW and monocular camera data is proposed for small UAVs obstacle detection systems. A MMW sensor is ...

Incomplete datasets with missing values increase the difficulty of data analysis. In this paper, the incomplete data are modeled based on the Auto-Association Neural Network(AANN) and the missing values are imputation. In order to strengthen the ...

A vast amount of text data is available today on the Internet due to the extensive use of social media. Valuable information can be extracted from this data through natural language processing. However, the process of information extraction can be ...

We propose a deep learning-based encoder with a dual decoder system to enrich the expressive power of embeddings pre-trained on two different corpora along with switching representation between domains. There are two scenarios: (a) Each of the corpora ...

Computational thinking is an emerging teaching strategy as well as an ability necessary for all people in the future. In this study, social stories are used to teach autistic children social skills. Combining sequential computational thinking as a ...

IoT devices are contributing significantly to increasing utility in life, increasing efficiency, increasing labor productivity as well as reducing costs. However, the fact that many manufacturers aim to speed up production and reduce production costs, ...

Aiming at the problem of high false alarm rate in the detection of dim infrared targets in complex backgrounds, an infrared dim target detection method based on visual mechanism and clutter suppression model is proposed. Firstly, a weighted template is ...

As industrial systems continue to grow in terms of scale and complexity, having an effective as well as proactive failure management approach helps mitigate the impact of server failure. While supervised methods fail to perform well in real-world ...

When using fast Fourier transform to analyze harmonics, it is difficult to realize high precision harmonic detection due to the spectrum leakage and fence effect caused by asynchronous sampling. In this paper, a combined optimization algorithm is ...

Aiming at the problems of blur and poor edge retention ability in the process of super-resolution reconstruction of underground images with uneven illumination, an improved super-resolution reconstruction algorithm based on sparse representation is ...

With the development of technology and the gradual convenience of transportation, due to various reasons such as travel or business trip, people often leave their familiar areas and visit relatively unfamiliar areas in real life.It will be presents a ...

Aiming at the 5G application scenario of smart grid, it is difficult to quickly process massive videos and pictures and extract effective edge information. In this paper, based on the analysis of traditional Sobel edge detection operator, aiming at its ...

The identification of critical nodes in the network is of great significance for the research of the invulnerability and structural stability of complex networks. Most of the existing studies evaluate the importance of nodes in networks from a single ...