Smart unmanned supermarkets have been emerging in the past years and significantly affected conventional shopping styles. Customer identification is an important step in picking up goods in smart unmanned supermarkets...
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Microfluidic systems have made substantial progress over the last decade, finding numerous applications in various scientific fields, including biomedical engineering. these systems provide advanced methods for invest...
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Interactive technology is in constant evolution, it allows for new products, services, work models, and advances in all fields. the purpose of this study is to describe the method used for cultural heritage virtualiza...
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knowledge is undoubtedly one of the most important assets for all organizations. Losing knowledgethat once was considered part of an organization always poses a problem. When knowledge is concentrated on single indiv...
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Horizontal lathe often makes noise in the process of running, and damages to the operator9;s hearing. In this paper, multi-body dynamics and acoustic-solid coupling analyses are performed analyze for the gearbox of...
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Inverse materials design can be viewed as a reverse engineering process of material constituents from a user given set of targets characterizing material properties. Machine learning techniques could be used to map a ...
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the proceedings contain 85 papers. the topics discussed include: research on long term tracking of centralized power EMU wheel wear and vibration performance;a study on robust design of cruciform torsional beam/cantil...
the proceedings contain 85 papers. the topics discussed include: research on long term tracking of centralized power EMU wheel wear and vibration performance;a study on robust design of cruciform torsional beam/cantilever beam;study on the segregation effect of pyrite and brass ore particles under combined pendulum vibration;the design and research of the rotating cabin body in an electro-optical pod;numerical study of gas-solid two-phase flow in the snout of continuous hot-dip galvanizing process;theoretical calculation and simulation analysis of hydraulic joint pressure loss based on fluid dynamics;research on slope algorithm based laser welding guidance technology for 3D vision inspection of thin-walled parts;dynamic characterization of grease-lubricated ball screws;lightweight design of hydraulic excavator forearm;study on mechanical properties of polyurethane mixtures with different fillers combined with industrial problems;and design and implementation of high-rigidity and high-precision satellite antenna rotating unit.
Machine learning plays a major role in every sector. Machine learning makes the work easier and more accurate. A significant source of employment is farming in Tamil Nadu. Agriculture production is suffering because o...
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Security patches are essential for enhancing the stability and robustness of projects in the open-source software community. While vulnerabilities are officially expected to be patched before being disclosed, patching...
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ISBN:
(数字)9798400712487
ISBN:
(纸本)9798400712487
Security patches are essential for enhancing the stability and robustness of projects in the open-source software community. While vulnerabilities are officially expected to be patched before being disclosed, patching vulnerabilities is complicated and remains a struggle for many organizations. To patch vulnerabilities, security practitioners typically track vulnerable issue reports (IRs), and analyze their relevant insecure code to generate potential patches. However, the relevant insecure code may not be explicitly specified and practitioners cannot track the insecure code in the repositories, thus limiting their ability to generate patches. In such cases, providing examples of insecure code and the corresponding patches would benefit the security developers to better locate and resolve the actual insecure code. In this paper, we propose PATUNTRACK, an automated approach to generating patch examples from IRs without tracked insecure code. PATUNTRACK utilizes auto-prompting to optimize the Large Language Model (LLM) to make it applicable for analyzing the vulnerabilities described in IRs and generating appropriate patch examples. Specifically, it first generates the completed description of the Vulnerability-Triggering Path (VTP) from vulnerable IRs. then, it corrects potential hallucinations in the VTP description with external golden knowledge. Finally, it generates Top-K pairs of Insecure Code and Patch Example based on the corrected VTP description. To evaluate the performance of PATUNTRACK, we conducted experiments on 5,465 vulnerable IRs. the experimental results show that PATUNTRACK can obtain the highest performance and improve the traditional LLM baselines by +17.7% (MatchFix) and +14.6% (Fix@10) on average in patch example generation. Furthermore, PATUNTRACK was applied to generate patch examples for 76 newly disclosed vulnerable IRs. 27 out of 37 replies from the authors of these IRs confirmed the usefulness of the patch examples generated by PATUNTRACK,
A question recognition method based on BERT-BiLSTM-ATT-CRF is proposed to solve the problem of entity recognition difficulties faced by Question answering in the field of aircraft PHM. First, the BERT model is used fo...
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