检索结果-内蒙古大学图书馆

Web applications testing techniques: a systematic mapping study

International Journal of Web engineering and technology 2023年第4期17卷 372-412页

作者： Hanna, Samer Ahmad, Amro Al-Said Department of Software Engineering Faculty of Information Technology Philadelphia University Jordan School of Computing and Mathematics University of Keele United Kingdom

Due to the importance of web application testing techniques for detecting faults and assessing quality attributes, many research papers were published in this field. For this reason, it became essential to analyse, classify and summarise the research in the field. To achieve this goal, this research conducted a systematic mapping study on 98 research papers in the field of web applications testing published between 2008 and 2021. The results showed that the most commonly used web applications testing techniques in literature are model-based testing and security testing. Besides, the most commonly used models in model-based testing are finite-state machines. The most targeted vulnerability in security testing is SQL injection. Test automation is the most targeted testing goal in both model-based and security testing. For other web applications testing techniques, the main goals of testing were test automation, test coverage, and assessing security quality attributes. Copyright © 2022 Inderscience Enterprises Ltd.

关键词： Mapping

来源：评论

学校读者我要写书评

暂无评论

Aspect Extraction from E-Commerce Reviews Based on Word-Word Relationship Classification 7

Aspect Extraction from E-Commerce Reviews Based on Word-Word...

引用

7th Asian Conference on Artificial Intelligence technology, ACAIT 2023

作者： Chen, Musheng Mao, Yaojun Hua, Qingrong Wu, Junhua Jiangxi University of Science And Technology School of Software Engineering Nanchang China

ISBN: (纸本)9798350359145

Aspect-level sentiment analysis of e-commerce reviews helps companies to understand customers' feedback and needs. However, the current unsupervised and sequence-annotation-based supervised aspect extraction methods do not fully utilize contextual information and cannot solve the problem of the multi-sense word ambiguity of aspect words. To address this issue, a new scheme is proposed to model aspect extraction as word-word relationship classification (WWRAE). WWRAE architecture fully exploits textual information by effectively modeling the next-word relationship and the last-first-word relationship between aspects. A neural network framework is designed based on the WWRAE scheme, where aspect words are modeled as a two-dimensional word-word lattice. Additionally, a multi-granularity two-dimensional convolution is proposed to enhance the lattice representation, and joint prediction is used to fully reason about the word-word relations. Experiments were conducted on the Restaurants and Laptop of SemEval-2014 and Restaurants of SemEval-2015 datasets, and F1 values reached 86.93, 82.99, and 75.51, respectively, outperforming the current baseline model. © 2023 IEEE.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

A dynamic and resource sharing virtual network mapping algorithm

引用

Digital Communications and Networks 2023年第5期9卷 1101-1112页

作者： Xiancui Xiao Xiangwei Zheng Ji Bian Cun Ji Xinchun Cui School of Information Science and Engineering Shandong Normal UniversityJinan250014China School of Information Engineering Shandong Management UniversityJinan250358China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan250014China School of Computer Science and Technology Qufu Normal UniversityRizhao276800China

Network virtualization can effectively establish dedicated virtual networks to implement various network ***,the existing research works have some shortcomings,for example,although computing resource properties of individual nodes are considered,node storage properties and the network topology properties are usually ignored in Virtual Network(VN)modelling,which leads to the inaccurate measurement of node availability and *** addition,most static virtual network mapping methods allocate fixed resources to users during the entire life cycle,and the users’actual resource requirements vary with the workload,which results in resource allocation *** on the above analysis,in this paper,we propose a dynamic resource sharing virtual network mapping algorithm named NMA-PRS-VNE,first,we construct a new,more realistic network framework in which the properties of nodes include computing resources,storage resources and topology *** the node mapping process,three properties of the node are used to measure its mapping ***,we consider the resources of adjacent nodes and links instead of the traditional method of measuring the availability and priority of nodes by considering only the resource properties,so as to more accurately select the physical mapping nodes that meet the constraints and conditions and improve the success rate of subsequent link ***,we divide the resource requirements of Virtual Network Requests(VNRs)into basic subrequirements and variable sub-variable requirements to complete dynamic resource *** former represents monopolizing resource requirements by the VNRs,while the latter represents shared resources by many VNRs with the probability of occupying resources,where we keep a balance between resource sharing and collision among users by calculating the collision *** results show that the proposed NMAPRS-VNE can increase the average acceptance rate and network revenu

关键词： Network virtualization VNRs Network frameworks Dynamic resource allocation Resource sharing

来源：评论

学校读者我要写书评

暂无评论

Resilient multi-objective mission planning for UAV formation:A unified framework integrating task pre-and re-assignment

引用

Defence technology(防务技术) 2025年第3期45卷 203-226页

作者： Xinwei Wang Xiaohua Gao Lei Wang Xichao Su Junhong Jin Xuanbo Liu Zhilong Deng Department of Engineering Mechanics State Key Laboratory of Structural AnalysisOptimization and CAE Software for Industrial EquipmentDalian University of TechnologyDalianLiaoning 116024China School of Mathematics and Big Data Anhui University of Science and TechnologyHuainanAnhui 232001China School of Mathematical Science Dalian University of TechnologyDalianLiaoning 116024China Department of Airborne Vehicle Engineering Naval Aeronautical and Astronautical UniversityYantai 264001China

Combat effectiveness of unmanned aerial vehicle(UAV)formations can be severely affected by the mission execution *** the practical execution phase,there are inevitable risks where UAVs being destroyed or targets failed to be *** improve the mission reliability,a resilient mission planning framework integrates task pre-and re-assignment modules is developed in this *** the task pre-assignment phase,to guarantee the mission reliability,probability constraints regarding the minimum mission success rate are imposed to establish a multi-objective optimization *** an improved genetic algorithm with the multi-population mechanism and specifically designed evolutionary operators is used for efficient *** in the task-reassignment phase,possible trigger events are first analyzed.A real-time contract net protocol-based algorithm is then proposed to address the corresponding emergency *** the dual objective used in the former phase is adapted into a single objective to keep a consistent combat *** cases of different scales demonstrate that the two modules cooperate well with each *** the one hand,the pre-assignment module can generate high-reliability mission schedules as an elaborate mathematical model is *** the other hand,the re-assignment module can efficiently respond to various emergencies and adjust the original schedule within a *** corresponding animation is accessible at ***/video/BV12t421w7EE for better illustration.

关键词： Cooperative mission planning UAV formation Mission reliability Evolutionary algorithm Contract net protocol

来源：评论

学校读者我要写书评

暂无评论

Joint User Scheduling and UAV Height Control for Smart Wearable Device Charging Network 19th

Joint User Scheduling and UAV Height Control for Smart Wea...

引用

19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2023

作者： Ji, Hongjing Wang, Xiaojie Ning, Zhaolong School of Software Engineering Dalian University of Technology Dalian China School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (纸本)9783031651229

This paper studies the user device time slot scheduling and Unmanned Aerial Vehicle (UAV) height control problem in the UAV-assisted smart wearable charging network. In contrast to traditional studies that only consider UAVs to serve user devices at a fixed height and ignore the flexibility and mobility of UAVs. We consider the UAV coverage and limited battery energy constraints as well as the charging demand of wearable devices;aiming to maximize network throughput. Specifically, first we formulate the problem as a Constrained Markov Decision Process (CMDP), and then propose a Proximal Policy Optimization (PPO)-CMDP algorithm for solving the formulated problem based on the Lagrangian original pairwise strategy optimization. Finally, the results from simulation evaluations show that our proposed algorithm can learn the mobility policy of UAV and the time slot scheduling policy of wearable devices to maximize the throughput of the achieved network while ensuring that the power of the UAV satisfies the constraint, and outperforms the baseline scheme. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

Liver cutting algorithm based on virtual plane 23

Liver cutting algorithm based on virtual plane

引用

2023 4th International Conference on Control, Robotics and Intelligent System, CCRIS 2023

作者： Gan, Jianhong Wang, Ziyu Wang, Jiayun School of Software Engineering Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9798400708190

At present, the algorithm for virtual liver cutting requires a lot of computation, has poor real-time performance, and is easy to produce degenerated triangle and deformed triangle, and the physical characteristics are lost during the cutting process. In this paper, a virtual plane cutting method based on collision detection is proposed. The position of virtual tool and virtual liver is obtained through collision detection. At the same time, the triangular surface of the model is optimized according to delauney characteristics, and the degenerated triangle and deformed triangle are eliminated, so that the physical characteristics of virtual liver are closer to the real situation. The construction and optimization of the cutting surface were studied. The cutting surface could be generated in real time during the cutting process, and the refresh rate in the experiment was up to 297Hz on average. The comparison between this method and the ordinary method shows that the method proposed in this paper has good real-time performance and stability, can effectively eliminate the degenerate triangle, and effectively improve the authenticity and physical characteristics of the cutting simulation. © 2023 ACM.

关键词： Cutting tools

来源：评论

学校读者我要写书评

暂无评论

Digital Restoration of Historical Buildings by Integrating 3D PC Reconstruction and GAN Algorithm

引用

Journal of Artificial Intelligence and technology 2024年第2期4卷 179-187页

作者： Tianke Fang Zhenxing Hui William P.Rey Aihua Yang Bin Liu Zhiying Xie School of Information Technology Mapua UniversityManilaPhilippines School of Computing and Information Engineering Xiamen University of TechnologyXiamenChina School of Information Media Zhangzhou Vocational College of Science and TechnologyZhangzhouChina College of Software Engineering Xiamen University of TechnologyXiamenChina

Historical architecture is an important carrier of cultural and historical heritage in a country and region,and its protection and restoration work plays a crucial role in the inheritance of cultural ***,the damage and destruction of buildings urgently need to be repaired due to the ancient age of historical buildings and the influence of natural environment and human ***,an artificial intelligence repair technology based on three-dimensional(3D)point cloud(PC)reconstruction and generative adversarial networks(GANs)was proposed to improve the precision and efficiency of repair ***,in-depth research on the principles and algorithms of 3D PC data processing and GANs should be ***,a digital restoration frameworkwas constructed by combining these two artificial intelligence technologies to achieve precise and efficient restoration of historical buildings through continuous adversarial learning *** experimental results showed that the errors in the restoration of palace buildings,defense walls,pagodas,altars,temples,and mausoleums were 0.17,0.12,0.13,0.11,and 0.09,*** technique can significantly reduce the error while maintaining the high-precision repair *** technology with artificial intelligence as the core has excellent accuracy and stability in the digital *** provides a new technical means for the digital restoration of historical buildings and has important practical significance for the protection of cultural heritage.

关键词： 3D PC reconstruction artificial intelligence repair GAN algorithm stereoscopic vision historical buildings

来源：评论

学校读者我要写书评

暂无评论

Anomaly Detection of Server Data Based on Depthwise Separable Convolution and Transformer 7

Anomaly Detection of Server Data Based on Depthwise Separabl...

引用

7th IEEE Advanced Information technology, Electronic and Automation Control Conference, IAEAC 2024

作者： Gu, Yechen Lu, Yongzhong Yan, Danping Huazhong University of Science and Technology School of Software Engineering WuHan China Huazhong University of Science and Technology School of Public Administration WuHan China

ISBN: (纸本)9798350339161

Server data is an important indicator of the server status, and its anomaly detection is greatly valuable for the normal operation of applications. However, server data is difficult to be processed effectively due to its diversity and complexity. In addition, current algorithms are difficult to find the anomalies accurately. To address this problem, we propose an anomaly detection model based on Depthwise Separable Convolution(DSC) and Transformer in this paper. The model uses sliding window partition to reorganize the data, and uses DSC and Transformer structure to learn local and global context information respectively. We reconstruct the original server data based on the learned patterns and use the reconstruction error as the final anomaly score for anomaly determination. Experiments show that our model has an F1 index of 0.92 on the public dataset SMD, proving its abilities to accurately detect the anomalies of the server data. © 2024 IEEE.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Intelligent Recognition of Geometric Tolerance Symbol Annotation Blocks 4

Intelligent Recognition of Geometric Tolerance Symbol Annota...

引用

4th International Symposium on Artificial Intelligence and Intelligent Manufacturing, AIIM 2024

作者： Li, Congxin Xu, Yuanping Zhang, Chaolong Kong, Chao Jin, Jin Wang, Weiye Xu, Zhijie Guo, Benjun Tang, Dan School of Software Engineering Chengdu University of Information Technology Chengdu China School of Advanced Technology Xi'an Jiaotong-Liverpool University Suzhou China

ISBN: (纸本)9798331541729

In previous mechanical design drawings, the geometric tolerance symbol annotation block was directly annotated on the mechanical design drawing by engineers, resulting in the symbol annotation block being non-editable and non-shareable. To achieve digitization, this study proposes an improved Swin_YOLOv5_GE model based on YOLOv5 to realize the positioning of the symbol annotation block. Compared with the original YOLOv5, the accuracy is increased by 4%. Then, image processing is performed on the located and cropped symbol annotation block to achieve denoising and tilt correction of the symbol annotation block. Finally, it is input into CRNN for the recognition of the symbol annotation block. The final experimental results prove that the method in this paper can obtain an overall recognition accuracy of 94%, proving the feasibility of this method. © 2024 IEEE.

关键词： Machine design

来源：评论

学校读者我要写书评

暂无评论

SINe: Out-of-Distribution Detection by Selecting Important Neurons 4

SINe: Out-of-Distribution Detection by Selecting Important N...

引用

4th International Conference on Big Data engineering and Education, BDEE 2024

作者： Geng, Shaoyang Lu, Yongzhong Yan, Danping School of Software Engineering Huazhong University of Science and Technology Wuhan China School of Public Administration Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350388268

Detecting out-of-distribution (OOD) samples is an essential task when deploying machine learning models in open-world scenarios. Quantifying the uncertainty of input samples is of great importance, particularly in mission-critical domains like autonomous driving and medical diagnosis. In these fields, accurate predictions are crucial, as failures on OOD detection can cause significant problems. Modern neural networks are powerful prediction models for in-distribution (ID) samples, but they are prone to producing highly confident predictions on OOD data, leading to misclassification. In recent years, numerous methods have been proposed to address this issue, with post-hoc OOD detection methods being extensively explored because they do not require an additional retraining process that might degrade the model's performance and increase the training cost. We propose a new method called Selecting Important Neurons (SINe) for post-hoc OOD detection. Our method focuses on the neurons in the deep layer of the model that represent the high-level features. Our key idea is to use Shapley value-based pruning to reduce the effects of noise signals by selecting neurons that meet the following criteria: first, the selected neurons should make significant contributions to predicing specific classes of in-distribution samples;simultaneously, the selected neurons are not significant for OOD samples. We empirically demonstrate that SINe achieves competitive detection performance on a comprehensive suite of benchmark datasets, and provide theoretical explanation for our methods efficacy. © 2024 IEEE.

关键词： Neurons

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：