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View article: Low-Noise Millimeter-Wave Down-Conversion Technology for Chip-Scaled Optical Clocks
Low-Noise Millimeter-Wave Down-Conversion Technology for Chip-Scaled Optical Clocks Open
This article reports on a millimeter-wave (MM-wave) signal down-conversion system with low phase noise for chip-scaled optical clocks. The system utilizes analog regenerative frequency division, low-noise fractional frequency division, and…
View article: Deep learning-based system for measuring weak electrical signals in plants
Deep learning-based system for measuring weak electrical signals in plants Open
Due to the characteristics of plant electrical signals being weak, low-frequency, and susceptible to interference, this study proposes a hardware solution involving silver chloride medical adhesive electrodes and the design of conditioning…
View article: Adaptive Orthogonal Basis Function Detection Method for Unknown Magnetic Target Motion State
Adaptive Orthogonal Basis Function Detection Method for Unknown Magnetic Target Motion State Open
Traditional methods of orthogonal basis function decomposition have been extensively used to detect magnetic anomaly signals. However, the determination of the relative velocity between the detection platform and the magnetic target remain…
View article: Industrial Product Surface Anomaly Detection with Realistic Synthetic Anomalies Based on Defect Map Prediction
Industrial Product Surface Anomaly Detection with Realistic Synthetic Anomalies Based on Defect Map Prediction Open
The occurrence of anomalies on the surface of industrial products can lead to issues such as decreased product quality, reduced production efficiency, and safety hazards. Early detection and resolution of these problems are crucial for ens…
View article: Metal Surface Defect Detection Based on a Transformer with Multi-Scale Mask Feature Fusion
Metal Surface Defect Detection Based on a Transformer with Multi-Scale Mask Feature Fusion Open
In the production process of metal industrial products, the deficiencies and limitations of existing technologies and working conditions can have adverse effects on the quality of the final products, making surface defect detection particu…
View article: Dual Attention-Based Industrial Surface Defect Detection with Consistency Loss
Dual Attention-Based Industrial Surface Defect Detection with Consistency Loss Open
In industrial production, flaws and defects inevitably appear on surfaces, resulting in unqualified products. Therefore, surface defect detection plays a key role in ensuring industrial product quality and maintaining industrial production…
View article: Bearing Fault Diagnosis Under Small Data Set Condition: A Bayesian Network Method With Transfer Learning for Parameter Estimation
Bearing Fault Diagnosis Under Small Data Set Condition: A Bayesian Network Method With Transfer Learning for Parameter Estimation Open
Bearings are broadly applied in various types of industrial systems. Fault diagnosis, as a promising way for reliability of modern industrial internet of thing applications, has attracted increasing attention from both academia and industr…
View article: Learning Bayesian Network Parameters With Small Data Set: A Parameter Extension under Constraints Method
Learning Bayesian Network Parameters With Small Data Set: A Parameter Extension under Constraints Method Open
Recent advances have illustrated substantial benefits from learning Bayesian networks (BNs). However, when the available data size is small, the BN parameter learning becomes a key challenge in many intelligent applications. By integrating…
View article: Assisting Attraction Classification by Harvesting Web Data
Assisting Attraction Classification by Harvesting Web Data Open
Intelligent travel guide systems have grown increasingly popular in recent years. They also benefit a lot from the development of social media, resulting in a large amount of attractions uploaded by users. To tackle this, attractions shoul…