- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Quantum-Dot Cellular Automata
- Artificial Immune Systems Applications
- Web Data Mining and Analysis
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Medical Image Segmentation Techniques
- Sparse and Compressive Sensing Techniques
- Random lasers and scattering media
- Image and Signal Denoising Methods
- Topic Modeling
- Neural Networks and Reservoir Computing
- Cardiac Imaging and Diagnostics
- Regional Development and Environment
- Higher Education and Teaching Methods
- Algorithms and Data Compression
- Advanced Image Fusion Techniques
- Augmented Reality Applications
- Robotics and Sensor-Based Localization
- Medical Research and Treatments
- Metaheuristic Optimization Algorithms Research
- Advanced Text Analysis Techniques
- Network Packet Processing and Optimization
- Electric Vehicles and Infrastructure
Changchun University of Science and Technology
2007-2023
King's College London
2005
Zhejiang University
2005
The study presented in this work explores the implementation of a watermarking scheme for quantum audio signals based on Discrete Cosine Transformation (qDCT). qDCT transforms host signal which is encoded as an FRQA (flexible representation audio) content from time domain to frequency and manipulates or modifies high-frequency positions embed watermark information into it. strong energy compaction property DCT utilized scheme, i.e. after process digital audio, most tends be concentrated few...
A quantum circuit implementation of Powell’s conjugate direction method (“Powell’s method”) is proposed based on basic transformations in this study. intends to find the minimum a function, including sequence parameters, by changing one parameter at time. The circuits that implement are logically built combining computing units and gates. main contributions study realization quadratic equation, proposal one-dimensional search algorithm, updating searching array (SDA), judgment stopping...
To solve the problems of low convergence accuracy, slow speed, and common falls into local optima Chicken Swarm Optimization Algorithm (CSO), a performance enhancement strategy CSO algorithm (PECSO) is proposed with aim overcoming its deficiencies. Firstly, hierarchy established by free grouping mechanism, which enhances diversity individuals in expands exploration range search space. Secondly, number niches divided, hen as center. By introducing synchronous updating spiral learning...
Abstract In order to improve the charging service quality of electric vehicle station(EVCS) and efficiency vehicles(EVs), this paper proposed M/M/k/N queuing theory model for limited capacity station, improved arrival rate EVs be charged with logistic model, then introduced a synchronization-mutual exclusion mechanism in two processes waiting after entering thereby avoiding resource conflicts, ensuring process certain order. Finally, through experimental simulation, we compared traditional...
In this paper, a novel method of quantum image rotation (QIR) based on shear transformations NEQR images is proposed. To compute the horizontal and vertical mappings required for rotation, we have designed self-adder, control multiplier, interpolation circuits as basic computing units in QIR implementation. Furthermore, provide several examples our results by presenting computer simulation experiments under $30^\circ$, $45^\circ$, $60^\circ$ scenarios discussion onto anti-aliasing...
Virtual Endoscope is a method to emulate cavity checking visually combined row volume data obtained from CT and MR with three-dimensional image technologies in virtue of navigation, flythrough pseudo-color technologies. The application on virtual endoscope developed recent several years, the software realization needs support multiple complicated algorithms, including internal surface reconstruction, center path automatic extraction, lens setting-up, multi-case processing, collision...
Efforts on enhancing the ghost imaging speed and quality are intensified when debate around nature of (quantum vs. classical) is suspended for a while. Accordingly, most studies these years in field fall into improvement regarding two targets by utilizing different mediums. Nevertheless, back to raging occurred but with focus, overcome inherent difficulties classical domain, if we able utilize superiority that quantum information science offers us, experiment may be implemented more...
It put forward software multi-state customize preservation technology, which accomplished multi-task mode quick switch and recovery, actualized the goal of executing dissimilarity satellite model task alternatively for experiment information surveillance display software, by applied reflex stored managed one or more environments at same time.The foundation frame customized management based on mechanism enormously enhanced elasticity application system exploitation management.Through...
As a further investigation of the image captioning task, some works extended vision-text dataset for specific subtasks, such as stylized caption generating. The corpus in is usually composed obvious sentiment-bearing words. While, special cases, captions are classified depending on category. This will result latent problem: generated sentences close semantic meaning but belong to different or even opposite categories. It worthy issue explore an effective way utilize category label boost...
Triple-rule-out CTA technique can evaluate the thoracic aorta, pulmonary artery and coronary at same time. Some diseases of above arteries are life threatening causes acute chest pain (ACP), which belong to most frequently symptoms patient in emergency departments. not only reduce radiation dose, but also contrast volume. Furthermore, it reduces cost time examinations. Post-processing techniques include multi-planar reconstruction, curved-planar reconstruction volume rendering technique....
Relational extraction of large-scale text data is one the key issues in natural language processing. Facing Internet resources, this paper proposes a relationship model based on distant supervision and deep learning. The build entity-to-package to solve high computational complexity time cost data. Model's input embeddings BERT entity position, which can improve feature representation ability. And utilized attention mechanism optimize tag parameters alleviate wrong label problems arising...
Low-dose CT scan is an effective way to reduce the radiation risk of patients, but it can quality images and affect accuracy medical diagnosis. To improve resolution images, we proposed a multi-branch fusion network reconstruct images. First, whole framework constructed by cascading multiple sub-networks. Local residual learning introduced into each sub-network convergence speed. Second, three branches convolution operation are used extract feature information image in parallel, fused as...