scholarly journals Reconstructing facade semantic models using hierarchical topological graphs

2020 ◽  
Vol 24 (4) ◽  
pp. 1073-1097
Author(s):  
Yuefeng Wang ◽  
Hongchao Fan ◽  
Guoqing Zhou
Keyword(s):  
Topological Graphs ◽  
Semantic Models

Modelling of Semantic Processes and Evolutional Semantic Model

2019 ◽  
Vol 26 (27) ◽  
pp. 197-210 ◽  
Author(s):  
Anastasia Fedorova
Keyword(s):  
Key Words ◽  
Dynamic Models ◽  
Scientific Literature ◽  
Semantic Model ◽  
Vast Array ◽  
Special Procedure ◽  
Semantic Models ◽  
Semantic Evolution ◽  
Semantic Processes ◽  
The Way

In Linguistics the terms model and modelling have a vast array of meanings, which depends on the purpose and the object, and the type of the scientific research. The article is dedicated to the investigation of a special procedure of semantic processes modelling, deducing and substantiating the notion “evolutional semantic model”, the content and operational opportunities of which differ drastically from the essence and purpose of the known from the scientific literature phenomenon of the same name. In the proposed research this variety of modelling is oriented towards the description of the dynamics of the legal terms content loading, the estimation of possible vectors of the semantic evolution on the way of its terminalization/determinalization. The evolutional model of semantics has here as its basis the succession of sememes or series of sememes, the order of which is determined with accounting of a number of parameters. The typical schemes of the meaning development, illustrated by the succession of sememes, are considered to be the models of semantic laws (evolutional semantic models = EMS). Their function is the explanation of the mechanism and the order of the stages of the semantic evolution of the system of the words which sprung from one root on the way of its legal specialization, and, therefore, the proposed in the paper experience of semantic laws modelling differs from the expertise of the “catalogue of semantic derivations”, proposed by H. A. Zaliznjak, which doesn’t have as its purpose the explanation of meaning displacements, and from the notion of semantic derivation, models of derivation, dynamic models, worked out by O. V. Paducheva, which also only state such a displacement, without proving its reality. Key words: evolutional semantic model (EMS), modelling, semantic law, sememe, pre(law).

Detecting linguistic idiosyncratic interests in autism using distributional semantic models

2014 ◽  
Author(s):  
Masoud Rouhizadeh ◽  
Emily Prud'hommeaux ◽  
Jan van Santen ◽  
Richard Sproat
Keyword(s):  
Semantic Models ◽  
Distributional Semantic Models

scholarly journals ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities

Cybersecurity ◽  
2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yu Zhang ◽  
Wei Huo ◽  
Kunpeng Jian ◽  
Ji Shi ◽  
Longquan Liu ◽  
...  
Keyword(s):  
Web Server ◽  
Test Cases ◽  
Communication Model ◽  
Home Office ◽  
Security Vulnerabilities ◽  
Testing Environment ◽  
Semantic Models ◽  
Recovery Mechanisms ◽  
General Mode ◽  
Soho Router

AbstractSOHO (small office/home office) routers provide services for end devices to connect to the Internet, playing an important role in cyberspace. Unfortunately, security vulnerabilities pervasively exist in these routers, especially in the web server modules, greatly endangering end users. To discover these vulnerabilities, fuzzing web server modules of SOHO routers is the most popular solution. However, its effectiveness is limited due to the lack of input specification, lack of routers’ internal running states, and lack of testing environment recovery mechanisms. Moreover, existing works for device fuzzing are more likely to detect memory corruption vulnerabilities.In this paper, we propose a solution ESRFuzzer to address these issues. It is a fully automated fuzzing framework for testing physical SOHO devices. It continuously and effectively generates test cases by leveraging two input semantic models, i.e., KEY-VALUE data model and CONF-READ communication model, and automatically recovers the testing environment with power management. It also coordinates diversified mutation rules with multiple monitoring mechanisms to trigger multi-type vulnerabilities. With the guidance of the two semantic models, ESRFuzzer can work in two ways: general mode fuzzing and D-CONF mode fuzzing. General mode fuzzing can discover both issues which occur in the CONF and READ operation, while D-CONF mode fuzzing focus on the READ-op issues especially missed by general mode fuzzing.We ran ESRFuzzer on 10 popular routers across five vendors. In total, it discovered 136 unique issues, 120 of which have been confirmed as 0-day vulnerabilities we found. As an improvement of SRFuzzer, ESRFuzzer have discovered 35 previous undiscovered READ-op issues that belong to three vulnerability types, and 23 of them have been confirmed as 0-day vulnerabilities by vendors. The experimental results show that ESRFuzzer outperforms state-of-the-art solutions in terms of types and number of vulnerabilities found.

scholarly journals Analog and semantic models of judgments about the months of the year

1984 ◽  
Vol 12 (3) ◽  
pp. 306-313 ◽  
Author(s):  
William J. Friedman
Keyword(s):  
Semantic Models

Study on the Method of Planetary Gear Trains Based on Topological Theory

2013 ◽  
Vol 568 ◽  
pp. 169-175 ◽  
Author(s):  
Ya Feng He ◽  
You Ming Wang
Keyword(s):  
Planetary Gear ◽  
Basic Structure ◽  
Graph Representation ◽  
Topological Graphs ◽  
Topological Theory ◽  
Planetary Gear Trains ◽  
Gear Trains ◽  
New System

The method research of planetary gear trains (PGTs) by applying topological theory is very significance in searching for innovative planetary trains. A new graph representation and stratification standard are introduced firstly. Then three topological graphs of basic structure of PGTs are established as the basis of synthesis theory. Next several kinds of planetary trains with small teeth difference and method of isomorphic determination are presented, thus built up the procedure of PGTs by graphs and example. Finally a new system of classification and synthesis for PGTs is put forward according to the feature of loops in topological theory.

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