Multiobjective optimization method for analog circuits design based on fuzzy logic

Oltean, Gabriel; Miron, C.; Mocean, E.

doi:10.1109/icecs.2002.1046285

Cited by 13 publications

(7 citation statements)

References 4 publications

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“…Despite initial resistance by the research community who considered the theory of fuzzy logic controversial, the logic has received tremendous attention in the last four decades, and its applications have increased significantly. Till date, fuzzy logic has been applied to a diverse areas, from control theories to artificial intelligence [23], with applications such as analog circuit design [24], war resource allocation [25], direct current electromagnet design [26], and facility location selection [27], among many others.…”

Section: Fuzzy Logic and Multi-criteria Decision Makingmentioning

confidence: 99%

A STRIDE Model based Threat Modelling using Unified and-Or Fuzzy Operator for Computer Network Securit

Khan¹

2017

IJCNT

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Abstract:In the present era, security has become a fundamental issue in efficient and proper functioning of computer and network systems. To prevent and mitigate a system, an important issue to understand how different threats could damage a network system. Keeping this issue under consideration, this paper proposes risk assessment and modeling of threats which shows the level of any attack. STRIDE (Spoofing, Tampering, Repudiation, Information disclosure, Denial of service, Elevation of privileges) is a model which covers numerous existing threats that are related to all security properties necessary for a secure network. An strategy has been proposed which takes the number and types of attacks as input and applies a fuzzy logic based threat assessment approach to assess the level of attack. The presented work uses a fuzzy operator, namely, unified AND-OR (UAO operator), and a decision-making approach based on a fuzzy rule.

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Section: Fuzzy Logic and Multi-criteria Decision Makingmentioning

confidence: 99%

A STRIDE Model based Threat Modelling using Unified and-Or Fuzzy Operator for Computer Network Securit

Khan¹

2017

IJCNT

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“…Fuzzy logic was originally proposed by Lotfi Zadeh in 1965 [10] and since then has been successfully applied to a range of problems such as analog circuit design [11], war resource allocation [12], direct current electromagnetic design [13], and facility location selection [14], among many others.…”

Section: Fuzzy Logic Based Preference Apporach For Stride Threat Modelmentioning

confidence: 99%

Fuzzy Preferences based STRIDE Threat Model for Network Intrusion Detection

Khan¹

2017

IJCNT

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Security has become a crucial performance measure in today's computer and network systems. One important aspect of this security is to understand the issue as to how different threats could lead to a negative impact and disasters on the functions of a network system. With this consideration, this paper proposes a threat preference approach to evaluate the impact of threats to a system. The proposed approach is synergized with the well-known STRIDE threat model. A tool is also developed to evaluate the level of overall level of overall given a number of threats and threat given a number of threats and threat preference rules. Preliminary analysis of the approach highlights the effectiveness in mitigating threats and attacks.

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“…In order to optimize the design of a given electrical circuit for obtaining a desired output voltage, this paper describes a methodology based on applying an inference system for adjusting each of the independent parameters taking as reference the difference between the actual output and the desired one. This approach has been explored before by other authors for designing specific electrical circuits, nevertheless there is not a general methodology which can be applied at least for a particular set of electrical circuits [6], [7]. The advantage of using a fuzzy approximation is that a deep mathematical characterization and knowledge of the circuit is not needed, contrary to the case of the most common numerical methods used for optimizing a given design.…”

Section: Fuzzy Control Schemementioning

confidence: 99%

A fuzzy control for optimizing the design of passive electrical circuits

Miranda-Romagnoli

Hernández-Romero

Seck-Tuoh-Mora

2010

2010 First IEEE Latin American Symposium on Circuits and Systems (LASCAS)

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This paper exposes a fuzzy control to determine independent parameters of a passive circuit in order to obtain a desired output established by the design requirements. This is achieved using a vector representation of the circuit and varying the independent parameters by a fuzzy control based on three inference rules according to the output voltage. An analysis about the behavior of the control is explained and some examples of this procedure are depicted.

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Multiobjective optimization method for analog circuits design based on fuzzy logic

Cited by 13 publications

References 4 publications

A STRIDE Model based Threat Modelling using Unified and-Or Fuzzy Operator for Computer Network Securit

A STRIDE Model based Threat Modelling using Unified and-Or Fuzzy Operator for Computer Network Securit

Fuzzy Preferences based STRIDE Threat Model for Network Intrusion Detection

A fuzzy control for optimizing the design of passive electrical circuits

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