An adaptive approach: Smart traffic congestion control system

Atta, Ayesha; Abbas, Sagheer; Khan, Muhammad Adnan; Ahmed, Gulzar; Farooq, Umer

doi:10.1016/j.jksuci.2018.10.011

Cited by 77 publications

(33 citation statements)

References 9 publications

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“…Other benefits of HTTPS include data confidentiality; data integrity checks and ensures reliable transmission. Computational Intelligence approaches like Fuzzy system [10,11,12,13,20,21,22,25,27,30], Neural Network [21,24,25,29], Swarm Intelligence [22,25,31,32] & Evolutionary Computing [14,15,16,23] like Genetic Algorithm [14,15], Differential Evolutionary (DE), Island GA [17], Island DE [18,19], Deep Extreme Learning Machine [25,26,28] are strong candidate solutions in the field of IoT enabled smart city [11,12,20,24], IoT enabled Smart health [13,25,27,30], Cryptography [33] and wireless communication [22,24,25,26,28] etc. Computational Approaches are hot research area which is also used in IoT based System.…”

Section: Literaturementioning

confidence: 99%

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Analytical Method to Improve the Security of Internet of Things with Limited Resources

Khan

Siddiqui

Irshad

et al. 2019

EAI Endorsed Trans IoT

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This research is about the information security of very obliged gadgets. Design Science Research (DSR) Method is utilized for this reason. It let us pick up the fundamental thought and exploration of the primary issue space. This is a procedure of combining distinctive pre-affirmed examines to pick up the goal. Symmetric cryptography will be utilized as a noteworthy device in various information items and entryway gadgets. The principle target of this exploration is to give security to exceptionally constrained gadgets as they are not ready to convey utilizing TLS or DTLS given a deficiency of assets. This arrangement is a finished bundle to give credibility, information honesty and privacy, either information is making a trip to entryway, gadgets or the web. At the information interface layer, AES symmetric encryption is utilized and information questions likewise are encoded utilizing a similar encryption strategy. Assessment is performed using wire shark.

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Section: Literaturementioning

confidence: 99%

“…Its working can easily be embedded with Linux OS. The specialized version of Linux known as Raspbian version is used as a security gateway for IoT devices [13]. Wireless router is connected with device using a wireless USB adapter.…”

Section: Data Security When Data Is Transferred From Gateway To Servermentioning

confidence: 99%

Analytical Method to Improve the Security of Internet of Things with Limited Resources

Khan

Siddiqui

Irshad

et al. 2019

EAI Endorsed Trans IoT

View full text Add to dashboard Cite

show abstract

“…Computational Intelligence approaches like Fuzzy system [22,23], Neural Network [24], Swarm Intelligence [25] & Evolutionary Computing [26] like Genetic Algorithm [27,28], DE, Island GA [29], Island DE [29,30] are strong candidate solution in the field of smart city [31,32] and smart health [34,35,36,37] etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System

Siddiqui

Hussnain²,

Siddiqui³

et al. 2018

ICST Transactions on Scalable Information Systems

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The adroit system is frequently used in artificial intelligence in medicine (AIM). They comprise medical information about a dedicated task and prone to purpose with data from case studies to produce lucid results. Though there are many irregularities, the information with an adroit network is derived with a set of expert rules to produce accurate results. Arthritis is the stiffness of one or more joints and about three fourth of the victims are suffering from it. Late detection of that chronic disease may cause the severity of the sickness at greater risk. So the idea is to contemplate a mechanism for the detection of arthritis using an adaptive hierarchical Mamdani fuzzy expert system (DA-AH-MFES). It is a befitting source to process ambiguity and inaccuracy. Physical and some medical parameters with the expertise of doctors can be mapped using MFES. The ability of MFES completely depends on the rules which are finalized by a discussion with an expert. The expert system has eight input variables at layer-I and four input variables at layer-II. At layer-I input variables are rest pain, morning stiffness, body pain, joint infection, swelling, redness, past injury and age that detects output condition of arthritis to be normal, infection and/or other problem. The further input variables of layer-II are RF, ANA, HLA-B27, ANTI-CCP that determine the output condition of arthritis. The performance of proposed Diagnose arthritis disease using an adaptive hierarchical mamdani fuzzy expert system is evaluated with expert observations of Cavan General Hospital Lisdaran, Cavan, Ireland and Jinnah Hospital Lahore, Pakistan. The accuracy of the expert system (DA-AH-MFES) is 95.6%.

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“…Information Technology plays an important role in every aspect of life in this era. Decision support systems based on knowledge, proficiency and logical reasoning ability [1]. Fuzzy logic has the ability to handle the uncertainty of data in a proper approach [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…Decision support systems based on knowledge, proficiency and logical reasoning ability [1]. Fuzzy logic has the ability to handle the uncertainty of data in a proper approach [1,2]. Heart disease is the main cause of death all over the world [3].…”

Section: Introductionmentioning

confidence: 99%

Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System

Naseer¹,

Khan²,

Saqib

et al. 2018

ICST Transactions on Scalable Information Systems

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The death ratio caused by heart diseases is threating around the world. Efficient and accurate diagnosis through information technology can turn over this picture. This article proposed Diagnosis Heart Disease using Mamdani Fuzzy Inference (DHD-MFI) based expert system which intelligently diagnoses heart disease. In an explorative pattern, the current research has taken six conducive variables for the purpose of fuzzy logic technical enhancement in the diagnosis of heart disease. The input fields comprise of age, chest pain, electrocardiography, blood pressure systolic, diabetic and cholesterol are transmitted with the help of Fuzzy rules which are framed in the light of low, normal, high and very high intensity among the input variations. The single output is obtained as a clinical decision support system for the heart diagnosis by using the Mamdani Inference method. The proposed DHD-MFI based expert system gives 94% overall accuracy.

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An adaptive approach: Smart traffic congestion control system

Cited by 77 publications

References 9 publications

Analytical Method to Improve the Security of Internet of Things with Limited Resources

Analytical Method to Improve the Security of Internet of Things with Limited Resources

Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System

Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System

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