Intelligent Transportation System (ITS) for Smart-Cities using Mamdani Fuzzy Inference System

Iqbal, Kashif; Khan, Muhammad Adnan; Abbas, Sagheer; Hasan, Md. Zahid; Fatima, Areej

doi:10.14569/ijacsa.2018.090215

Cited by 47 publications

(20 citation statements)

References 17 publications

(22 reference statements)

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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%

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%

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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“…In urban areas, traffic detection and supervision are also a basic elements of the implementation and use of Intelligent Transport Systems, and thus the development of the Smart City concept. In the mentioned concept transportation is considered to be a key resource and critical sector in modern cities development [1,2]. Smart city definitions consider communications and sensor capabilities sewn into the cities' infrastructures for transportation optimization purposes [3].…”

Section: Introductionmentioning

confidence: 99%

Long-term urban traffic monitoring based on wireless multi-sensor network

2020

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AbstractIncreasing the number of vehicles on the road network and the growing popularity of sustainable development of urban areas have resulted in the need for implementing efficient and cost-effective traffic measurement methods. From the perspective of traffic management, up-to-date information about vehicle density and access to historical data are the key components of traffic variability analyses. Rapid technological development based on Intelligent Transport Systems (ITS) has popularised the wireless sensor networks (WSN) application. The solution enables continuous monitoring of selected area using multiple wireless and low-cost sensors connected within a network. Those systems are dynamically evolving tools for solving an effective traffic management issues in city centres and urban environments. In the study, authors have performed a traffic variability and its dynamics analysis in a selected area using a multi-sensor network for traffic volume monitoring. The article presents the results of research conducted between years 2015 - 2018 throughout the city of Bielsko-Biala with the support of OnDynamic multimodal system. Within the context of the analyses, basic traffic parameters have been determined and variability trends have been identified on selected road sections. Long-term research indicated the minor variation in a number of vehicle detections and relatively stable traffic volume in the city centre during the analysis period.

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Intelligent Transportation System (ITS) for Smart-Cities using Mamdani Fuzzy Inference System

Cited by 47 publications

References 17 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

Long-term urban traffic monitoring based on wireless multi-sensor network

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