Kun She
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View article: 2EZBFT for Decentralized Oracle Consensus with Distant Smart Terminals
2EZBFT for Decentralized Oracle Consensus with Distant Smart Terminals Open
In geo-distributed deployments, sensor data are collected under the coordination of smart terminals and relayed on-chain via decentralized oracles. A motivating scenario involves healthcare networks where regional hospitals submit aggregat…
View article: Securing synthetic faces: A GAN-blockchain approach to privacy-enhanced facial recognition
Securing synthetic faces: A GAN-blockchain approach to privacy-enhanced facial recognition Open
In recent years, facial recognition technology has become increasingly integrated into society, making privacy protection crucial. Previous techniques offered minimal secrecy safeguards through simple obscuration methods. This paper addres…
View article: Sensitive Data Privacy Protection of Carrier in Intelligent Logistics System
Sensitive Data Privacy Protection of Carrier in Intelligent Logistics System Open
An intelligent logistics system is a production system based on the Internet of Things (IoT), and the logistics information of humans has a high degree of privacy. However, the current intelligent logistics system only protects the privacy…
View article: Enhancing Security and Privacy in Distributed Face Recognition Systems through Blockchain and GAN Technologies
Enhancing Security and Privacy in Distributed Face Recognition Systems through Blockchain and GAN Technologies Open
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/
View article: Enhancing facial recognition accuracy through multi-scale feature fusion and spatial attention mechanisms
Enhancing facial recognition accuracy through multi-scale feature fusion and spatial attention mechanisms Open
Nowadays, advancements in facial recognition technology necessitate robust solutions to address challenges in real-world scenarios, including lighting variations and facial position discrepancies. We introduce a novel deep neural network f…
View article: Enhancing In-vehicle Multi-turn Dialogue Text Rewriting with Lightweight Text Filtering
Enhancing In-vehicle Multi-turn Dialogue Text Rewriting with Lightweight Text Filtering Open
Deep learning has advanced intelligent vehicle development, improving communication and language comprehension. The Transformer model is currently the mainstream approach for text rewriting(coreference resolution) in vehicle dialogue syste…
View article: Multimodal Speech Emotion Recognition Using Modality-specific Self-Supervised Frameworks
Multimodal Speech Emotion Recognition Using Modality-specific Self-Supervised Frameworks Open
Emotion recognition is a topic of significant interest in assistive robotics due to the need to equip robots with the ability to comprehend human behavior, facilitating their effective interaction in our society. Consequently, efficient an…
View article: Enhancing Traceability Link Recovery with Fine-Grained Query Expansion Analysis
Enhancing Traceability Link Recovery with Fine-Grained Query Expansion Analysis Open
Requirement traceability links are an essential part of requirement management software and are a basic prerequisite for software artifact changes. The manual establishment of requirement traceability links is time-consuming. When faced wi…
View article: 5G-BSS: 5G-Based Universal Blockchain Smart Sensors
5G-BSS: 5G-Based Universal Blockchain Smart Sensors Open
A smart sensor is a sensor with information processing functions. It is the product of the combination of sensor integration and a microprocessor. It has the characteristics of intelligence, networking and high precision. It has been widel…
View article: Wavelet Frequency Separation Attention Network for Chest X-ray Image Super-Resolution
Wavelet Frequency Separation Attention Network for Chest X-ray Image Super-Resolution Open
Medical imaging is widely used in medical diagnosis. The low-resolution image caused by high hardware cost and poor imaging technology leads to the loss of relevant features and even fine texture. Obtaining high-quality medical images play…
View article: Entropy information‐based heterogeneous deep selective fused features using deep convolutional neural network for sketch recognition
Entropy information‐based heterogeneous deep selective fused features using deep convolutional neural network for sketch recognition Open
An effective feature representation can boost recognition tasks in the sketch domain. Due to an abstract and diverse structure of the sketch relatively with a natural image, it is complex to generate a discriminative features representatio…
View article: New Stability Results of the Delay Dynamical System via a Novel Relaxed Condition
New Stability Results of the Delay Dynamical System via a Novel Relaxed Condition Open
This paper focuses on the asymptotic stability (AS) problem of the delay dynamical system (DDS). An improved delay-product-type functional (DPTF) strategy is applied to construct a more general Lyapunov-Krasovskii functional (LKF). This me…
View article: Dew Computing and Asymmetric Security Framework for Big Data File Sharing
Dew Computing and Asymmetric Security Framework for Big Data File Sharing Open
Due to the advancement of technology, devices generate huge working files at a rapid rate. These data, which are of considerable scale and are created very fast, can be called big data. Keeping such files in one storage device is impossibl…
View article: Sparse representation based computed tomography images reconstruction by coupled dictionary learning algorithm
Sparse representation based computed tomography images reconstruction by coupled dictionary learning algorithm Open
It is very interesting to reconstruct high‐resolution computed tomography (CT) medical images that are very useful for clinicians to analyse the diseases. This study proposes an improved super‐resolution method for CT medical images in the…
View article: A Novel Hierarchical Clustering Approach Based on Universal Gravitation
A Novel Hierarchical Clustering Approach Based on Universal Gravitation Open
The target of the clustering analysis is to group a set of data points into several clusters based on the similarity or distance. The similarity or distance is usually a scalar used in numerous traditional clustering algorithms. Neverthele…
View article: Lossless digital image watermarking in sparse domain by using K‐singular value decomposition algorithm
Lossless digital image watermarking in sparse domain by using K‐singular value decomposition algorithm Open
The crucial hurdle faced by the watermarking technique is to maintain the steadiness corresponding to several attacks while assisting a sufficient level of security. In this study, a robust lossless sparse domain‐based watermarking approac…
View article: Wavelet-Based Enhanced Medical Image Super Resolution
Wavelet-Based Enhanced Medical Image Super Resolution Open
Low-resolution medical images can seriously interfere with the medical diagnosis, and poor image quality can lead to loss of detailed information. Therefore, improving the quality of medical images and accelerating the reconstruction is of…
View article: A Fast Single-Image Dehazing Algorithm Based on Dark Channel Prior and Rayleigh Scattering
A Fast Single-Image Dehazing Algorithm Based on Dark Channel Prior and Rayleigh Scattering Open
The scattering of atmospheric particles significantly alters images captured under hazy weather condition. Images appear distorted, blurry and low in contrast attenuation, which extensively affects computer vision systems. There has been d…
View article: A novel power-driven fractional accumulated grey model and its application in forecasting wind energy consumption of China
A novel power-driven fractional accumulated grey model and its application in forecasting wind energy consumption of China Open
Wind energy is one of the most important renewable resources and plays a vital role in reducing carbon emission and solving global warming problem. Every country has made a corresponding energy policy to stimulate wind energy industry deve…
View article: Forecasting Japan’s Solar Energy Consumption Using a Novel Incomplete Gamma Grey Model
Forecasting Japan’s Solar Energy Consumption Using a Novel Incomplete Gamma Grey Model Open
Energy consumption is an essential basis for formulating energy policy and programming, especially in the transition of energy consumption structure in a country. Correct prediction of energy consumption can provide effective reference dat…
View article: A novel hierarchical clustering approach based on data gravitation model
A novel hierarchical clustering approach based on data gravitation model Open
The purpose of clustering is to group the data points into several clusters according to their similarity. Inspired by law of gravitation, each data point considered as an object is exposed in data space and influenced by the data gravitat…
View article: A Novel Power‐Driven Grey Model with Whale Optimization Algorithm and Its Application in Forecasting the Residential Energy Consumption in China
A Novel Power‐Driven Grey Model with Whale Optimization Algorithm and Its Application in Forecasting the Residential Energy Consumption in China Open
Along with the improvement of Chinese people’s living standard, the proportion of residential energy consumption in total energy consumption is rapidly increasing in China year by year. Accurately forecasting the residential energy consump…
View article: Convolutional Sparse Coding Using Wavelets for Single Image Super-Resolution
Convolutional Sparse Coding Using Wavelets for Single Image Super-Resolution Open
In this paper, we propose the convolutional sparse coding based model in the wavelet domain for the task of single image super-resolution (SISR). The conventional sparse coding based approaches work on overlapping image patches and use the…
View article: Deep CNN-based Features for Hand-Drawn Sketch Recognition via Transfer Learning Approach
Deep CNN-based Features for Hand-Drawn Sketch Recognition via Transfer Learning Approach Open
Image-based object recognition is a well-studied topic in the field of computer vision. Features extraction for hand-drawn sketch recognition and retrieval become increasingly popular among the computer vision researchers. Increasing use o…
View article: Identity Vector Extraction by Perceptual Wavelet Packet Entropy and Convolutional Neural Network for Voice Authentication
Identity Vector Extraction by Perceptual Wavelet Packet Entropy and Convolutional Neural Network for Voice Authentication Open
Recently, the accuracy of voice authentication system has increased significantly due to the successful application of the identity vector (i-vector) model. This paper proposes a new method for i-vector extraction. In the method, a percept…
View article: Speaker Recognition Using Wavelet Packet Entropy, I-Vector, and Cosine Distance Scoring
Speaker Recognition Using Wavelet Packet Entropy, I-Vector, and Cosine Distance Scoring Open
Today, more and more people have benefited from the speaker recognition. However, the accuracy of speaker recognition often drops off rapidly because of the low-quality speech and noise. This paper proposed a new speaker recognition model …
View article: On extended dissipativity analysis for neural networks with time-varying delay and general activation functions
On extended dissipativity analysis for neural networks with time-varying delay and general activation functions Open
We investigate the problem of extended dissipativity analysis for a class of neural networks with time-varying delay.The extended dissipativity analysis generalizes a few previous known results, which contain the H ∞ , passivity, dissipati…
View article: Speaker Recognition Using Wavelet Cepstral Coefficient, I-Vector, and Cosine Distance Scoring and Its Application for Forensics
Speaker Recognition Using Wavelet Cepstral Coefficient, I-Vector, and Cosine Distance Scoring and Its Application for Forensics Open
An important application of speaker recognition is forensics. However, the accuracy of speaker recognition in forensic cases often drops off rapidly because of the ill effect of ambient noise, variable channel, different duration of speech…