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检索条件"机构=Computer Engineering and Application"

共 5464 条记录，以下是11-20 订阅

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A Data Constraint Analysis Method for Full-Digital Simulation Test 24

A Data Constraint Analysis Method for Full-Digital Simulatio...

引用

24th IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2024

作者： Wu, Shasha Li, Shiyong Peng, Yanhong Ma, Siyou Deng, Fei Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9798350365658

At present, software testing is an effective approach to ensure and improve software quality. However, there is a lack of data dependency analysis methods for constructing full-digital test data scripts, which results in the problem that constructed test data scripts maybe hard to simulate the real-world mission scenarios of the weapon embedded software. To solve this problem, this paper clarifies the emphasis of data constraint analysis is sporadic data by analyzing the external data features of the weapon embedded software, and then proposes a data constraint analysis method based on profile and directed graph. The proposed method can complete the analysis of data constraints from coarse-grained to fine-grained efficiently. Moreover, according to the analysis results, full-digital testing test data script that can simulate the real-world mission scenarios of the software can be constructed. Experiment results have proven that the proposed method is effective and can improve analysis efficiency. © 2024 IEEE.

关键词： Data consistency

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QVT-based SysML v2 Model Version Difference Transformation

QVT-based SysML v2 Model Version Difference Transformation

引用

2024 China Automation Congress, CAC 2024

作者： Zhou, Chen Li, Ling Ren, Qiang Mu, Zixin Yu, Bing An, Baoran Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9798350368604

In order to address the issue of model version incompatibility in supporting the implementation of Model-Based Systems engineering (MBSE) with SysML v2, this paper first elucidates a feasible engineering modelling method based on the SysML v2 specification. Subsequently, leveraging model transformation concepts, a v2 model version conversion method based on the QVT Relations Language is proposed. Various potential compatibility scenarios and implementation paths are meticulously analysed. On this foundation, a design scheme for program modules ensuring version full transitivity is presented. Finally, the proposed methods and programs are validated through case studies involving version conversion under two different scenarios. The results indicate that the proposed approach effectively resolves SysML v2 model version compatibility issues arising from changes in syntax or semantic patterns. © 2024 IEEE.

关键词： Semantics

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Robust LiDAR-Camera Alignment over Point Cloud Density Variation

Robust LiDAR-Camera Alignment over Point Cloud Density Varia...

引用

2024 China Automation Congress, CAC 2024

作者： Zhu, Angfan Ma, Tao Institute of Computer Application China Academy of Engineering Physics Sichuan China

ISBN: (纸本)9798350368604

For the first time, we raise and address the research problem of robust LiDAR-Camera alignment (LCA) over point cloud density variation, which is essentially important to the applications like autonomous driving and robot navigation. Our key idea is to generate the regular point cloud that holds the characteristics of density-insensitivity and evenness jointly for extracting robust and effective LCA feature. Our intuition lies in 2 main folders. That is, density-insensitivity aims to make the generated point cloud have a fixed number of points in local spaces. And, evenness requires that the points in local spaces can be evenly distributed to better recover the scene. The density-insensitivity and evenness ensure the generated point cloud can provide robust and effective information for LCA tasks. Specifically, a 2D CNN model is used to achieve the density-insensitivity and evenness of generated regular point clouds. Additionally, a novel loss function is proposed to train our model without ground truth. The experiments on KITTI dataset verify superiority of our proposition. Our method can achieve comparable performance with state-of-the-arts LCA methods under original testing point clouds. As the point cloud density decreases, the performance of our method gradually outperforms them. When the point cloud density is very sparse, the performance advancement of our method is over 1.5 m / 0.4◦ on translation / rotation error with mis-alignment magnitudes of up to ±1.5m and ±20◦. © 2024 IEEE.

关键词： deep learning LiDAR-Camera alignment point cloud generation transformer

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Chinese Offensive Language Detection Algorithm based on Pre-trained Language model and Pointer Network Augmentation 5

Chinese Offensive Language Detection Algorithm based on Pre-...

引用

5th International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2024

作者： Hou, Boyuan Xie, Xin Zhang, Dongcheng Zheng, Liyuan Yan, Guojun Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9798350385557

The traditional offensive language detection methods suffer from issues such as inadequate understanding of semantic information and sensitivity to noise in text. To address these problems, this paper proposes a Chinese offensive language detection algorithm based on a pre-trained language model and augmented with a pointer network. Firstly, the algorithm incorporates task prompt information into the text using the prompt layer. Then, it feeds the integrated text with task prompt information into the pre-trained language model RoBERTa to extract deep semantic information and obtain a semantic vector. Subsequently, the generated semantic vector is inputted into the focus layer of the pointer network to obtain a focus vector that strongly relates to offensive language. Finally, by concatenating the semantic vector and focus vector, they are passed through a classification layer for text classification and determining whether it contains offensive language. Experimental results on the Chinese offensive language dataset COLD demonstrate that our proposed method outperforms mainstream methods significantly in terms of detection effectiveness. © 2024 IEEE.

关键词： Classification (of information)

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A noise reduction algorithm for industrial CT images incorporating wavelet denoising and guided filtering 24

A noise reduction algorithm for industrial CT images incorpo...

引用

2024 International Conference on Artificial Intelligence of Things and Computing, AITC 2024

作者： Li, Ling Dou, Siyuan Mu, Zixin Yu, Bing Zeng, Sifeng Ren, Qiang Institute of Computer Application China Academy of Engineering Physics Sichuan Mianyang China

ISBN: (纸本)9798400709869

To address the issues of fuzzy edges and loss of fine features in existing noise reduction algorithms for industrial computed tomography (CT) images, we present a hybrid wavelet denoising and guided filtering algorithm. Firstly, a 2-layer wavelet decomposition is performed on the industrial CT image using the Haar wavelet basis to decompose the original image into low frequency and high frequency coefficients. Secondly, the high frequency coefficients are processed using the threshold shrinkage method, and the low frequency coefficients are refined by combining them with guided filtering. Lastly, the wavelet coefficients are reconstructed using the wavelet inverse transform to obtain the final noise reduced image. Experimental results show that the peak signal to noise ratio (PSNR) of the proposed algorithm reaches 43.8013 dB, which is 34.87%, 17.84%, and 5.01% higher than that of bilateral filtering, wavelet denoising, and guided filtering algorithms, respectively. Both simulation experiments and practical applications demonstrate the effectiveness of the proposed algorithm in preserving edge and detail information, improving the quality of industrial CT images and providing strong support for noise reduction technology based on industrial CT images. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.

关键词： Noise abatement

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A Coverage-Oriented Fuzzing Test Method for Embedded Firmware 10

A Coverage-Oriented Fuzzing Test Method for Embedded Firmwar...

引用

10th International Symposium on System Security, Safety, and Reliability, ISSSR 2024

作者： Yang, Wansheng Luo, Hairu Hu, Chi He, Fengjiao China Academy of Engineering Physics Institute of Computer Application Mianyang China

ISBN: (纸本)9798350362930

When it comes to firmware vulnerability detection in embedded systems, traditional static analysis approaches struggle to capture deep-level program execution logic, resulting in unsatisfactory effectiveness. Based on common fuzzer, this paper proposes a coverage-oriented dynamic fuzzing test method called dynamic instrumentation marking coverage-based fuzzer to support simulation and test for ARM and MIPS architecture-based IoT embedded device firmware. Furthermore, two experiments were designed. One proved the fuzzer can effectively discover vulnerabilities in firmware;the other one demonstrated that compared to the AFL fuzzer, the method we proposed can generate more test samples, execute most of them and trigger more crash records. © 2024 IEEE.

关键词： Static analysis

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An Analytical Survey on Credit Scoring Mechanism in India 2nd

An Analytical Survey on Credit Scoring Mechanism in India

引用

2nd International Conference on Cyber Intelligence and Information Retrieval, CIIR 2023

作者： Bhowmik, Ankan Basu, Arkajyoti Basu, Arittra Paul, Anish Roy, Atrri Department of Computer Application and Science Institute of Engineering and Management Kolkata India

ISBN: (纸本)9789819735938

Credit score is an important indicator to lenders of your capability to repay loans. A consumer's creditworthiness is indicated by a number between 300 and 850 called a credit score. The advanced the score, the better a borrower looks to implicit lenders. It is predicated on data gathered from lenders and is consolidated in the Credit Information Report or CIR. This paper reviews to check one’s report regularly, also helps you to identify any disagreement that may be lowered your score, and helps to recover the lower score to advanced situations score. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Credit ratings Credit score Loan Net profit

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Permission Governance Method Based on Separation of Responsibilities 7

Permission Governance Method Based on Separation of Responsi...

引用

7th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2024

作者： Sun, Xiaohan Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9798350370782

In complex management information systems, there are a large number of business entities, complex permission relationships, and diverse access requirements. A set of permission governance methods is needed to solve the permission problems of the system and plan for the development of business permissions. This article summarizes a security and compliance permission governance method, which involves policy mining of a large number of logs generated by information systems, checking audit permission activities, identifying permission risks, and promptly addressing permission vulnerabilities. It also summarizes the role governance and user permission governance steps based on mutual exclusion of responsibilities for information systems and related peripheral systems. Combining the business characteristics and pain point scenarios of various modules in the information system, by establishing a closed-loop management of permissions, the permission governance system can self-improve, evolve synchronously with the iteration of the business system, achieve full lifecycle management of information system permissions and security and compliance detection, and safeguard the security of business activities. © 2024 IEEE.

关键词： Information management

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Management of Multiple Microgrids Considering Soft Loads Based on Federated Reinforcement Learning 11

Management of Multiple Microgrids Considering Soft Loads Bas...

引用

11th International Forum on Electrical engineering and Automation, IFEEA 2024

作者： Mu, Zixin Tang, Lei Zhou, Chen Li, Ling Long, Yang Li, Dong Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9798331516611

As the energy transition advances, multi-microgrid systems are being widely applied due to their advantages in effectively accommodating clean energy and achieving zero-carbon power supply within certain areas. However, due to the instability and intermittency of renewable energy units within these systems, intelligent regulation of the output of various units in multi-microgrid systems has become an urgent issue to address. Reinforcement learning (RL), benefiting from its strength in making decisions through interaction with the environment, has emerged as one of the effective solutions to this problem. Yet, the generalization performance of the model places demands on training data and diversity. To this end, a reinforcement learning model based on a federated learning framework is proposed, taking into account soft loads on the user side and power losses within the network. After modeling the multi-microgrid system, the specific training process can be briefly summarized as follows: first, mixed strategies are employed at each local end to train the RL models within individual microgrids;then, parameters required for model updates are transmitted to a global server for federated learning;subsequently, the models of each microgrid are updated based on the global server model. Finally, simulations and analyses are conducted on a small-scale multi-microgrid example composed of three microgrids, verifying the effectiveness and superiority of the algorithm, as well as its enhancement of market economic benefits. © 2024 IEEE.

关键词： Federated learning

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Cross-domain Person Search Data Augmentation Based on Style Transfer 24

Cross-domain Person Search Data Augmentation Based on Style ...

引用

3rd International Conference on Algorithms, Data Mining, and Information Technology, ADMIT 2024

作者： Liu, Zhen Zhang, Yaohui Lai, Guiyu Institute of Computer Application China Academy of Engineering Physics Sichuan Mianyang China

ISBN: (纸本)9798400718120

As a computer vision technology that combines pedestrian detection and person re-identification, person search focuses on its application in practical scenarios. However, at present, the academic community pays more attention to the performance of person search algorithm on a single data domain, and the generalization performance of person search models across data domain is less considered. In order to improve the cross-domain performance of person search model, we design a person search image style transfer network suitable for the characteristics of person search task. The proposed style transfer network is able to generate the source domain training image of the target domain style and reduce the overfitting of the person search model to the source domain style. Experiments show that the proposed method can generate qualified source domain training images of the target domain style. Further, the generalization performance of person search model on the target domain can be effectively improved by using the generated style transferred images as the data augmentation in the source domain pre-training stage. © 2024 Copyright held by the owner/author(s).

关键词： person search

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