卷 6 ， 期 22 ， 2023
- 摘要：Information technology (IT) application innovation is dedicated to the indigenous development of core technology products to ensure secure and reliable IT support for China's economic and social progress. This paper discusses the adaptation and migration of applications on the trustworthy cloud, addressing the strategies and technical challenges of cloud transformation. The deployment of the trustworthy cloud facilitates comprehensive enterprise digital transformation and enhances the construction of a secure digital infrastructure. By analyzing technical solutions, this paper aims to offer insights into enterprise digitalization and anticipates the role of the trustworthy cloud in the upcoming technological revolution, charting a course for future IT innovation and evolution.关键词：innovation in information technology application cloud;application adaptation;migration;cloud transformation;Digital Transformation284|728|0更新时间：2025-03-26
- 摘要：This paper focuses on a class of saturated memristive neural network models and investigates its mean square stable problem under probabilistic deception attacks with an attack-driven event-triggered control strategy. First, aiming at the actuator saturation phenomenon under device physical limitations or equipment loss, this paper establishes the saturated memristive neural networks, which resolve the issue of control failure caused by significant deviations in signal transmission between actuators and controllers. Next, the strong openness and unpredictability of the network make signals susceptible to attacks during transmission, this paper combines Bernoulli processes to design a probabilistic deception attack model with time-varying delays and an attack-driven event-triggered control strategy, which enhances the anti-interference ability of the system in complex environments, reduces data transmission, and conserves communication resources. Furthermore, this paper constructs a novel Lyapunov functional dependent on event-triggered instants, reinforcing the utilization of system state information. Then, through Lyapunov stability theory and inequality techniques, sufficient conditions for the mean square stability of the system are derived. Ultimately, the feasibility and effectiveness of the results are verified through numerical examples.关键词：memristive neural networks;actuator saturation;probabilistic deception attacks;event-triggered control34|174|0更新时间：2025-03-26
- 摘要：Beamforming is an important part of sonar signal processing and a prerequisite for sonar to detect and recognize underwater targets effectively. According to the different sonar forms, it can be divided into linear beamforming, planar beamforming and circular beamforming. The circular array is simple in structure, usually fixed on the platform installation, and compared with the tow line array, it avoids the problem of formation correction, and the circular array has the ability to distinguish the left and right sides of the underwater target, and has the ability to detect the pitch direction, so it has been widely concerned. The robustness and high azimuth resolution of common circular array beamforming methods are contradictory, and the performance is poor at low signal-to-noise ratio. In order to improve the detection ability of circular array on underwater targets, a new circular array beamforming method is proposed in this paper. Firstly, diagonal load reduction technology is used to suppress background noise, and then semi-definite programming technology is used to achieve high resolution azimuth estimation of targets. Thus, it still has good ablility of detection under the condition of low signal-to-noise ratio.关键词：circular array;beamforming;diagonal load reduction;semi-definite programming55|223|0更新时间：2025-03-26
- 摘要：This study aims to develop a deep learn-based model for the accurate classification of ultrasound images of breast cancer in order to improve the accuracy of early diagnosis of breast cancer. The GoogleNet deep learning model was used in this study, and was trained and verified on the breast cancer ultrasound image dataset provided by Kaggle. By adjusting the parameters and structure of the model, benign, malignant and normal breast ultrasound images were effectively distinguished.The experimental results show that the proposed deep learning model has excellent performance in breast cancer ultrasound image classification tasks, with high accuracy, recall rate and F1 scores. This model is expected to become a powerful tool to assist the early diagnosis of breast cancer, and provide clinicians with more accurate and reliable diagnostic basis, so as to have a positive impact on the treatment and prognosis of breast cancer patients.关键词：breast cancer;Deep learning;GoogLeNet;ultrasonic177|230|0更新时间：2025-03-26
RESEARCH PAPER
- 摘要：With the guidance of relevant government policies and the rapid development of a new round of scientific and technological revolution and digital economy, state-owned utilities enterprises, as an leading force of the national economic development as well as a important pillar of socialism with Chinese characteristics, digital transformation has become an inevitable choice for the development of enterprises, and the exploration of effective typical models of digital transformation has become an urgent topic to be solved. Based on the core issues of digitalization faced by state-owned utilities, we proposed a systematic overall planning framework from current situation research, top-level design to business architecture, application architecture, data architecture, technology architecture and governance system, as well as an implementation path scheme with step-by-step division.关键词：Digital Transformation;public utilities industry;state-owned enterprise;architecture design;implementation path45|239|0更新时间：2025-03-26
SURVEYS & TUTORIALS
- 摘要：With the rapid development of artificial intelligence technology, AIGC (Artificial Intelligence Generated Content) technology has gradually penetrated various aspects of media production, and its application in traditional media offline activities has begun to demonstrate unique advantages. This paper aims to introduce the application and advantages of AIGC technology in traditional media offline activities, as well as to summarize its impact on these activities, by combining specific case studies from offline events organized by Beijing Radio and Television Station with AIGC technology.关键词：offline activities;AIGC technology;large language models;neural radiance fields;3D hyper-realistic digital humans73|248|0更新时间：2025-03-26
CORRESPONDENCE
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