Abstract Software security incidents occur everyday and thousands of software security reports are announced each month. Thus, it is difficult for software security researchers, engineers, and other stakeholders to follow software security topics of their interests in real-time. In this paper, we propose, SOSK, a novel tool for this problem. SOSK allows a user to import a collection of software security reports. It pre-processes and extracts... Software security incidents occur everyday and thousands of software security reports are announced each month. Thus, it is difficult for software security researchers, engineers, and other stakeholders to follow software security topics of their interests in real-time. In this paper, we propose, SOSK, a novel tool for this problem. SOSK allows a user to import a collection of software security reports. It pre-processes and extracts the most important keywords from the textual description of the reports. Based on the similarity of embedding vectors of keywords, SOSK can expand and/or refine a keyword set from a much smaller set of their interests userprovided keywords. Thus, SOSK allows users to define any topic of their nterests and retrieve security reports relevant to that topic effectively.Our preliminary evaluation shows that SOSK can expand keywords and retrieve reports relevant to user requests. Read More Read Less

Abstract With the deepening of economic globalization and the intensification of market competition, risk management has become a crucial task for enterprises. This article aims to analyze the development of financial instruments for risk management of small and medium-sized enterprises based on fuzzy evaluation. Firstly, we will introduce the basic principle and application of the fuzzy evaluation method and then analyze its application in risk management,... With the deepening of economic globalization and the intensification of market competition, risk management has become a crucial task for enterprises. This article aims to analyze the development of financial instruments for risk management of small and medium-sized enterprises based on fuzzy evaluation. Firstly, we will introduce the basic principle and application of the fuzzy evaluation method and then analyze its application in risk management, especially for small and mediumsized enterprises. Next, we will elaborate on the main methods and applications of risk management financial instrument derivatives based on fuzzy evaluation, including selecting financial instruments, risk assessment, and response strategies. Finally, we will demonstrate the application and effectiveness of this method in practice through specific case studies and explore future development directions and challenges. Read More Read Less

Abstract In today’s ageing society, elderly safety has become a major concern in China. This research introduces a comprehensive intelligent monitoring system for elderly safety, which combines artificial intelligence technology and diverse information fusion techniques. The system incorporates machine learning algorithms, Internet of Things (IoT) devices, and cloud computing applications, focusing on community and home scenarios. Through a series of sensors, it collects daily life data... In today’s ageing society, elderly safety has become a major concern in China. This research introduces a comprehensive intelligent monitoring system for elderly safety, which combines artificial intelligence technology and diverse information fusion techniques. The system incorporates machine learning algorithms, Internet of Things (IoT) devices, and cloud computing applications, focusing on community and home scenarios. Through a series of sensors, it collects daily life data of the elderly in a non-intrusive manner, enabling intelligent alerts for high-risk conditions such as falls, sudden illnesses, abnormal entries/exits, gas leaks, and smoke detection. Innovative research in human posture estimation and behaviour recognition, along with the fusion of information from multiple sensors, can reduce the occurrence of elderly safety accidents and improve the living environment in communities and homes. Read More Read Less

Abstract Integrating the Internet and financial companies has expanded the market and avenues for personal loans. While the scale of personal loans has rapidly expanded, it has also brought higher default rates. This paper constructs a personal loan default risk prediction model based on an improved LightGBM model to control default rates and reduce financial company risks. The model’s accuracy in predicting default risks is enhanced... Integrating the Internet and financial companies has expanded the market and avenues for personal loans. While the scale of personal loans has rapidly expanded, it has also brought higher default rates. This paper constructs a personal loan default risk prediction model based on an improved LightGBM model to control default rates and reduce financial company risks. The model’s accuracy in predicting default risks is enhanced by optimizing model parameters and supplementing the evaluation system witha particle swarm optimization algorithm. Experimental results show that compared to four other risk prediction models, this model performs better in predicting default risks. The introduced indicators effectively reduce prediction errors, resulting in higher model accuracy and a better fit to real-world scenarios. Read More Read Less