The development of biomedical image technology has brought significant advancements to healthcare and frontier research. Over the past 20 years, BioCAS has witnessed and documented comprehensive achievements in biomed...
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ISBN:
(数字)9798350354959
ISBN:
(纸本)9798350354966
The development of biomedical image technology has brought significant advancements to healthcare and frontier research. Over the past 20 years, BioCAS has witnessed and documented comprehensive achievements in biomedical image sensor design and processingalgorithms. This paper provides a systematic review of the work related to biomedical image acquisition and processing technology in BioCAS and offers a perspective on future developments in this field.
Due to the complexity of their structure and the particularity of their application environments, aircraft High-Voltage Direct Current (HVDC) systems are prone to faults, with inter-module failures complicating fault ...
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ISBN:
(数字)9798331541460
ISBN:
(纸本)9798331541477
Due to the complexity of their structure and the particularity of their application environments, aircraft High-Voltage Direct Current (HVDC) systems are prone to faults, with inter-module failures complicating fault diagnosis. To address this issue, a fault diagnosis method for HVDC systems has been developed. Feature extraction methods were designed for the rectifier, BUCK converter, and inverter, respectively, with the sum-to-amplitude ratio of signals selected as a feature for the rectifier; multi-scale skewness was proposed for the BUCK converter; and the ratio of the signal's average to peak absolute value was chosen for the inverter. Subsequently, the PSO-LightGBM algorithm was proposed, which employs the LightGBM algorithm for classification and utilizes a particle swarm algorithm to optimize the parameters of the LightGBM, establishing the optimal model. The experimental results demonstrate that the proposed method can accurately achieve fault diagnosis in HVDC systems.
The commonly-used image Super-resolution (SR) reconstruction methods are computationally expensive and only applicable to “offline processing” cases. To reduce the work-load of SR fusion, three algorithms, i.e., Nei...
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The commonly-used image Super-resolution (SR) reconstruction methods are computationally expensive and only applicable to “offline processing” cases. To reduce the work-load of SR fusion, three algorithms, i.e., Neighborhood searching nearest interpolation (NSNI), Fixed-distance searching nearest interpolation (FDSNI) and Two-direction linear interpolation (TDLI), are proposed in this paper in the condition of multiple lower resolution images with global random shifts. The simulation results illustrate the effectiveness, speed and quality advantages of the three proposed SR algorithms over classic algorithms.
Although mainstream unsupervised anomaly detection (AD) algorithms perform well in academic datasets, their performance is limited in practical application due to the ideal experimental setting of clean training data....
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ISBN:
(纸本)9781713871088
Although mainstream unsupervised anomaly detection (AD) algorithms perform well in academic datasets, their performance is limited in practical application due to the ideal experimental setting of clean training data. Training with noisy data is an inevitable problem in real-world anomaly detection but is seldom discussed. This paper considers label-level noise in image sensory anomaly detection for the first time. To solve this problem, we proposed a memory-based unsupervised AD method, SoftPatch, which efficiently denoises the data at the patch level. Noise discriminators are utilized to generate outlier scores for patch-level noise elimination before coreset construction. The scores are then stored in the memory bank to soften the anomaly detection boundary. Compared with existing methods, SoftPatch maintains a strong modeling ability of normal data and alleviates the overconfidence problem in coreset. Comprehensive experiments in various noise scenes demonstrate that SoftPatch outperforms the state-of-the-art AD methods on the MVTecAD and BTAD benchmarks and is comparable to those methods under the setting without noise.
As information technology advances rapidly, the demand for data security continues to grow. Chaos theory and algebraic groups have become a focal point in cryptographic research, providing a foundation for designing m...
As information technology advances rapidly, the demand for data security continues to grow. Chaos theory and algebraic groups have become a focal point in cryptographic research, providing a foundation for designing more robust block cipher algorithms. This article introduces a password algorithm based on chaos and algebraic groups, proposing the Lorenz chaos-geometric Goppa code composite password algorithm that has demonstrated significant achievements in imageprocessing. In comparison to traditional methods, this algorithm exhibits the shortest key length and reduced error rates in imageprocessing, offering a more reliable data protection solution for practical applications. This research opens up new possibilities for enhancing the security and performance in the field of cryptography.
image tampering has brought a great negative impact on society. People who do not know the truth are easy to be misled and used by people with intentions. Its impact on society has attracted extensive attention of Chi...
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For human activity recognition based on phone sensors, the position of the phone is an important factor of the recognition accuracy. To improve the recognition accuracy of behavioral activities and the position of the...
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Railway plays a leading role in the field of transportation in China and shoulders the important mission of driving the development of national economy. In view of the changeable environment of railway track, the proc...
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ISBN:
(数字)9798350350210
ISBN:
(纸本)9798350350227
Railway plays a leading role in the field of transportation in China and shoulders the important mission of driving the development of national economy. In view of the changeable environment of railway track, the processing algorithm with good real-time performance, strong robustness and high accuracy in the process of foreign body detection is the key to achieve rapid detection. In order to facilitate researchers to compare and analyze the effects of relevant algorithms intuitively and quickly, the GUI visual interactive interface was used to design the simulation platform for track foreign object imageprocessing, conceive the design process, build the overall design of the platform, and divide the static foreign object detection and moving target detection modules according to the realization functions. In the static foreign body detection module, the image of track foreign body is input to determine whether there is track foreign body and give early warning. Meanwhile, the processing effect of different algorithms can be visually compared through the operation results. In the moving target detection module, the moving target in the input video is marked and tracked. The test results of the simulation platform show that the processing platform is simple and easy to operate, and can effectively assist researchers to deepen the understanding and application of orbital foreign object imageprocessing.
Long-range active detection is widely demanded in various fields. Currently, it is still difficult to obtain high-resolution images in long-range while ensuring miniaturization of the detection system, because the res...
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Deep learning-based methods have shown their wide application prospects in the field of solid oxide fuel cell(SOFC) prediction. However, the irrationality of the prediction object and the lack of prediction accuracy h...
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