Artificial Intelligence in China
Proceedings of the 3rd International Conference on Artificial Intelligence in China
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44 Result(s)
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Wei WANG
Communications Engineering, Networks
Information Systems and Communication Service
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Chapter and Conference Paper
Concept Drift Detection Based on Restricted Boltzmann Machine in Multi-class Classification System
With the development of information technology, more and more data are generated from social life. Concept drift detection in multi-class classification system has gradually become a research hotspot in the fi...
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Chapter and Conference Paper
A New Augmented Method for Processing Video Datasets Based on Deep Neural Network
Large datasets are required for deep learning to achieve good performance. However, there is a lack of sufficient training datasets in many research fields, which may become a shortcoming of computer vision ap...
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Chapter and Conference Paper
Graph-Based Anomaly Detection of Wireless Sensor Network
Anomaly detection in wireless sensor networks plays a vital role to ensure the accuracy and reliability of network data. In view of the complexity of sensor networks, the process of detecting anomalies using r...
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Chapter and Conference Paper
Keywords Clustering for the Interview Texts Based on Kmeans Algorithm
We generally use the extraction of keywords to study the factors affecting the growth of excellent teachers. However, an automatic research algorithm is needed to let us understand more clearly when there are ...
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Book and Conference Proceedings
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Article
Joint pricing and task allocation for blockchain empowered crowd spectrum sensing
By fully utilizing the capability of the spreading intelligent terminals, crowd spectrum sensing is an efficient and cost-effective framework to realize large-scale and broadband spectrum sensing. However, tra...
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Article
An incentive mechanism based on endowment effect facing social welfare in Crowdsensing
Mobile CrowdSensing(MCS) is a new type of network which needs a large number of users to collect data to complete the sensing task and requires users to have a high level of participation. In the current resea...
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Chapter and Conference Paper
Feature Extraction and Selection in Hidden Layer of Deep Learning Based on Graph Compressive Sensing
Faced with massive high-dimensional, multi-modal, and redundant information data sets, there are many processing methods, one of which is deep learning. Although the deep learning model is effective, there is ...
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Chapter and Conference Paper
A New Node Optimization Algorithm of Wireless Sensor Network Based on Graph Signal
Graph is a great model that can efficiently deal with structural data and has excellent research value and application value in our life. Graph theory and signal processing have been perfectly combined to form...
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Book and Conference Proceedings
Artificial Intelligence in China
Proceedings of the 2nd International Conference on Artificial Intelligence in China
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Article
Lightweight deep network for traffic sign classification
Deeper neural networks have achieved great results in the field of computer vision and have been successfully applied to tasks such as traffic sign recognition. However, as traffic sign recognition systems are...
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Chapter and Conference Paper
Development of a New Type of Long Base Stress Sensor for Hull Structure
In this paper, a new type of hull structure long base stress sensor is introduced. When the ship changes under external or internal forces, the fiber Bragg grating fixed between two bases is deformed. The defo...
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Chapter and Conference Paper
Imbalanced Data Classification with Deep Support Vector Machines
In recent years, deep learning has become increasingly popular in various fields. However, the performance of deep learning on imbalanced data has not been examined. The imbalanced data is a special problem in...
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Chapter and Conference Paper
Through Wall Human Detection Based on Support Tensor Machines
Through wall human detection based on ultra-wideband (UWB) radar is a challenging task due to the complex environment. In this case, it is not enough for the research sample that is only with high cost. In thi...
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Chapter and Conference Paper
A Novel Hinge Structure of Fiber Bragg Grating Acceleration Sensor
In view of the fact that existing Fiber Bragg Grating (FBG) accelerometers cannot achieve high-precision signal and high vibration frequency measurement at the same time, this paper proposes a novel type of FB...
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Chapter and Conference Paper
A Hinged Fiber Grating Sensor for Hull Roll and Pitch Motion Measurement
This paper introduces a novel fiber Bragg grating (FBG) sensor for hull roll and pitch motion measurement. The sensor is mainly composed of three parts: differential hinge structure, fiber grating and mass blo...
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Chapter and Conference Paper
A Fiber Bragg Grating Stress Sensor for Hull Local Strength Measurement
In this paper, a fiber grating stress sensor for measuring the local strength of the hull is introduced. The optical fiber stuck between the fixed plates on both sides of the sensor is deformed when the part o...
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Chapter and Conference Paper
A Fiber Bragg Grating Acceleration Sensor for Measuring Bow Slamming Load
In view of the serious consequences of Slamming Loads on ships at high speed, a fiber Bragg grating acceleration sensor for measuring the Slamming Loads on bows is designed in this paper. It is mainly composed...
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Chapter and Conference Paper
Research on Data Flow Partitioning Based on Dynamic Feature Extraction
With the rapid development of the Internet of things, social networks, and e-commerce, the era of big data has arrived. Although big data has great potential for many areas such as industry, education, and hea...
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Chapter and Conference Paper
Study on Interference from 5G System to Earth Exploration Satellite Service System in High Frequency
With the advent of 5G era, the research on the 5G has gradually become a hot topic in the world. This paper analyzes interference coexistence between the 5G and the EESS (Earth Exploration Satellite Service) s...
