Analysis of Emergency level at Sea Using Fuzzy Logic Approaches

Sedova, Nelly; Sedov, Viktor A.; Баженов, Руслан Иванович

doi:10.1007/978-3-319-67349-3_30

Cited by 10 publications

(5 citation statements)

References 13 publications

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“…Logika fuzzy dapat digunakan untuk menentukan maupun menentukan nilai dari suatu keadaan yang dimana dalam permasalahan ini nilai dari kualitas udara yang tidak dapat diukur secara kasat mata oleh indra manusia. Pada permasalahan ini peneliti menggunakan Fuzzy Intference System (FIS) metode Tsukamoto [4] untuk menentukan nilai dari status kualitas udara yang diterapkan pada alat pemantauan kualitas udara. Pada penelitian sebelumnya yang melakukan penelitian pengukuran level udara didapatkan hasil ambang batas gas polutan yang kemudian diterapkan kedalam rule/aturan yang kemudian dilanjutkan dengan kaidah if-then yang dikomposisikan dengan menggunakan nilai rata-rata terbobot.…”

Section: Pendahuluanunclassified

Implementasi Fuzzy Inference System (Fis) Metode Tsukamoto Untuk Monitoring Kualitas Udara

Endra

Saputra²

2022

komputasi

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The lack of air quality monitoring equipment in areas in Indonesia will have a negative impact on health if there is an unconscious decrease in air quality. This study aims to design an air quality monitoring tool using a fuzzy inference system using the Tsukamoto method to provide information in the form of air quality values. By using 3 different types of pollutant sensors, namely MQ2 to detect smoke, MQ7 to detect carbon monoxide (CO) and Sharp GP2YAUF to detect flying dust levels, the data from the readings of each sensor is processed using the fis tsukamoto method to get the result value and category. air quality which then the results will be displayed on a monitoring website as a medium of information. In the process, a series of tools need to be connected to the network in order to be able to carry out the process of sending sensor data into the database, after the data is stored in the database then the website will perform calculations using the Tsukamoto method automatically to get the results of values and categories of air quality that are read by the sensor which then the results will be displayed on the monitoring website. From this research will produce an air quality monitoring tool using the fuzzy inference system Tsukamoto method as a method to determine the results of values and categories. Keywords: Air Quality Monitoring; FIS Tsukamoto method; Fuzzy Logic

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Section: Pendahuluanunclassified

Implementasi Fuzzy Inference System (Fis) Metode Tsukamoto Untuk Monitoring Kualitas Udara

Endra

Saputra²

2022

komputasi

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“…Among other factors, a model based on the fuzzy set theory that determines the emergency level automatically according to the information issued in the simulation subsystem. Such a model is capable to determine one of the four emergency levels (incident, major incident, emergency, extreme emergency) according to the amount of harm injuring a person / a group of people's health and / or life, the extent of the marine vessel damage, as well as the amount of environmental pollution) [10]. The authors published the outcomes of their review of test situations in paper [10].…”

Section: Intelligent Subsystemmentioning

confidence: 99%

“…Such a model is capable to determine one of the four emergency levels (incident, major incident, emergency, extreme emergency) according to the amount of harm injuring a person / a group of people's health and / or life, the extent of the marine vessel damage, as well as the amount of environmental pollution) [10]. The authors published the outcomes of their review of test situations in paper [10]. They confirm the efficiency of the proposed model for determining the emergency level.…”

Section: Intelligent Subsystemmentioning

confidence: 99%

An interactive environment for teaching a watch crew to act properly in case of wind and wave perturbation

Sedova¹,

Sedov²,

Баженов³

et al. 2019

Vib. proced.

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An interactive environment is supposed to be one of the most important technologies for developing teaching systems for a deck crew. It enables modeling different interworking scenarios (excursions) among marine crafts as well as responding maritime facilities to operator performance, etc. The ship crew is possible to be taught in order to know how to act effectively in alarm or challenging situations in such an environment. A virtual polygon can also be used as a decision making support system to forecast growing threats and then choose the best behavior strategy/policy. The paper illustrates the findings of a virtual polygon development for simulating navigation safety problems with Blender environment applied for a three-dimensional graphic image representation, Delphi programming language for software support of the developed methods and a user interface design. The authors explained a layout algorithm for constructing three-dimensional offshore surface vessels. Moreover, the researchers simulated various situations in different weather effects and wind and wave perturbation in their study.

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“…The memory mechanism makes it possible to use information about previously found best solutions, thereby increasing the efficiency of global search. An important feature of the method of artificial immune systems is the independence of the optimization problem solution from the initial approximation [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Numerical Algorithm for Finding Optimal Initial Concentrations of Chemical Reactions

Мустафина

Andrey

Antipina

et al. 2020

IIUMEJ

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This article is devoted to the problem of developing methods for mathematical modelling in the sphere of optimal planning in a chemical experiment. In the article, the problem of finding the optimal ratio for initial concentrations of substances is formulated in general terms and an algorithm for solving this problem is constructed basing on the method of artificial immune systems. The developed algorithm for finding the optimal initial concentrations of substances allows solving the problem of experiment planning in chemistry at the computational experiment stage. In this case, the solution of the optimization problem found with its help does not depend on the choice of the initial approximation. The algorithm was tested for the industrially meaningful process of benzilidenebenzilamine synthesis for which the optimum values of the initial concentrations were calculated in order to obtain maximum yield of the reaction product. ABSTRAK: Artikel ini ditujukan untuk masalah mengembangkan kaedah pemodelan matematik dalam bidang perancangan optimum dalam percubaan kimia. Dalam artikel itu, masalah mencari nisbah optimum untuk konsentrasi awal bahan digubal secara umum dan algoritma untuk menyelesaikan masalah ini dibina berdasarkan kaedah sistem imun buatan. Algoritma yang dibangunkan untuk mencari kandungan konsentrasi awal yang optimum membolehkan menyelesaikan masalah perancangan percubaan dalam kimia pada peringkat percubaan pengkomputeran. Dalam kes ini, penyelesaian masalah pengoptimuman yang didapati dengan bantuannya tidak bergantung pada pilihan permulaan awal. Algoritma ini telah diuji untuk proses sintesis benzilidenebenzilamin yang bermakna industri yang mana nilai-nilai optimum kepekatan awal dikira untuk mendapatkan hasil maksimum produk reaksin.

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Analysis of Emergency level at Sea Using Fuzzy Logic Approaches

Cited by 10 publications

References 13 publications

Implementasi Fuzzy Inference System (Fis) Metode Tsukamoto Untuk Monitoring Kualitas Udara

Implementasi Fuzzy Inference System (Fis) Metode Tsukamoto Untuk Monitoring Kualitas Udara

An interactive environment for teaching a watch crew to act properly in case of wind and wave perturbation

Numerical Algorithm for Finding Optimal Initial Concentrations of Chemical Reactions

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