提出一种基于类型推理的移动Ad-Hoc网络安全路由协议的形式化验证方法.定义了一种邻域限制通信演算NCCC(neighborhood-constrained communication calculus),包括演算的语法和基于规约的操作语义,在类型系统中描述了移动Ad-Hoc网络路由...提出一种基于类型推理的移动Ad-Hoc网络安全路由协议的形式化验证方法.定义了一种邻域限制通信演算NCCC(neighborhood-constrained communication calculus),包括演算的语法和基于规约的操作语义,在类型系统中描述了移动Ad-Hoc网络路由协议的安全属性,定义了近似攻击消息集用以精简Dolev-Yao攻击模型.还给出了该方法的一个协议验证实例.基于类型推理,该方法不仅能够验证协议的安全性,也可以得出针对协议的攻击手段.因为攻击集的精简,有效地缩减了推理空间.展开更多
Helicopter mathematical model mainly depends on design helicopter control system, flight simulator, and real time control simulation system. But it is difficult to establish a helicopter flight dynamics mathematical ...Helicopter mathematical model mainly depends on design helicopter control system, flight simulator, and real time control simulation system. But it is difficult to establish a helicopter flight dynamics mathematical model that has features such as rapidness, reliability and precision, because there is no unique and precise expression to some sophisticated phenomenon of helicopter. In this paper a fuzzy helicopter flight model is constructed based on the flight experimental data. The fuzzy model, which is identified by fuzzy inference, has characteristics of computed rapidness and high precision. In order to guarantee the precision of the identified fuzzy model, a new method is adopted to handle the conflict fuzzy rules. Additionally, using fuzzy clustering technology can effectively reduce the number of rules of fuzzy model, namely, the order of the fuzzy model. The simulation results indicate that the method of this paper is effective and feasible.展开更多
Inferring the fully qualified names(FQNs)of undeclared receiving objects and non-fully-qualified type names(non-FQNs)in partial code is critical for effectively searching,understanding,and reusing partial code.Existin...Inferring the fully qualified names(FQNs)of undeclared receiving objects and non-fully-qualified type names(non-FQNs)in partial code is critical for effectively searching,understanding,and reusing partial code.Existing type inference tools,such as COSTER and SNR,rely on a symbolic knowledge base and adopt a dictionary-lookup strategy to map simple names of undeclared receiving objects and non-FQNs to FQNs.However,building a symbolic knowledge base requires parsing compilable code files,which limits the collection of APIs and code contexts,resulting in out-of-vocabulary(OOV)failures.To overcome the limitations of a symbolic knowledge base for FQN inference,we implemented Ask Me Any Type(AMAT),a type of inference plugin embedded in web browsers and integrated development environment(IDE).Unlike the dictionary-lookup strategy,AMAT uses a cloze-style fill-in-the-blank strategy for type inference.By treating code as text,AMAT leverages a fine-tuned large language model(LLM)as a neural knowledge base,thereby preventing the need for code compilation.Experimental results show that AMAT outperforms state-of-the-art tools such as COSTER and SNR.In practice,developers can directly reuse partial code by inferring the FQNs of unresolved type names in real time.展开更多
文摘提出一种基于类型推理的移动Ad-Hoc网络安全路由协议的形式化验证方法.定义了一种邻域限制通信演算NCCC(neighborhood-constrained communication calculus),包括演算的语法和基于规约的操作语义,在类型系统中描述了移动Ad-Hoc网络路由协议的安全属性,定义了近似攻击消息集用以精简Dolev-Yao攻击模型.还给出了该方法的一个协议验证实例.基于类型推理,该方法不仅能够验证协议的安全性,也可以得出针对协议的攻击手段.因为攻击集的精简,有效地缩减了推理空间.
文摘Helicopter mathematical model mainly depends on design helicopter control system, flight simulator, and real time control simulation system. But it is difficult to establish a helicopter flight dynamics mathematical model that has features such as rapidness, reliability and precision, because there is no unique and precise expression to some sophisticated phenomenon of helicopter. In this paper a fuzzy helicopter flight model is constructed based on the flight experimental data. The fuzzy model, which is identified by fuzzy inference, has characteristics of computed rapidness and high precision. In order to guarantee the precision of the identified fuzzy model, a new method is adopted to handle the conflict fuzzy rules. Additionally, using fuzzy clustering technology can effectively reduce the number of rules of fuzzy model, namely, the order of the fuzzy model. The simulation results indicate that the method of this paper is effective and feasible.
基金Supported by the Key Scientific and Technological Research Projects of the Jiangxi Provincial Department of Education(GJJ2200303)the National Social Science Foundation Major Bidding Project(20&ZD068)。
文摘Inferring the fully qualified names(FQNs)of undeclared receiving objects and non-fully-qualified type names(non-FQNs)in partial code is critical for effectively searching,understanding,and reusing partial code.Existing type inference tools,such as COSTER and SNR,rely on a symbolic knowledge base and adopt a dictionary-lookup strategy to map simple names of undeclared receiving objects and non-FQNs to FQNs.However,building a symbolic knowledge base requires parsing compilable code files,which limits the collection of APIs and code contexts,resulting in out-of-vocabulary(OOV)failures.To overcome the limitations of a symbolic knowledge base for FQN inference,we implemented Ask Me Any Type(AMAT),a type of inference plugin embedded in web browsers and integrated development environment(IDE).Unlike the dictionary-lookup strategy,AMAT uses a cloze-style fill-in-the-blank strategy for type inference.By treating code as text,AMAT leverages a fine-tuned large language model(LLM)as a neural knowledge base,thereby preventing the need for code compilation.Experimental results show that AMAT outperforms state-of-the-art tools such as COSTER and SNR.In practice,developers can directly reuse partial code by inferring the FQNs of unresolved type names in real time.
