Toward a Unified Model Approach for Evaluating Different Electric Vehicles

Alosaimi, Wael; Ansari, Tarique Mahmood; Alharbi, Abdullah; Alyami, Hashem; Ali, Saquib; Agrawal, Alka; Khan, Raees Ahmad

doi:10.3390/en14196120

Cited by 18 publications

(9 citation statements)

References 33 publications

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“…Fuzzy TOPSIS: The main idea behind the TOPSIS strategy is that the best suggested choice must not only be the closest to the positive ideal solution (PIS) but also be the furthest away from the negative ideal solution (NIS) [40][41][42][43][44][45][46]. TOPSIS has the benefit of requiring only restricted subjective input from decision makers as well as the strategy's ability to speedily determine the best alternate solution.…”

Section: Integrated Fuzzy Ahp-topsis Methodsmentioning

confidence: 99%

Towards Design and Development of Security Assessment Framework for Internet of Medical Things

2022

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The majority of medical equipment in use today does not have built-in security features. As a result, whether linked to a hospital system or the cloud, these devices’ built-in weaknesses make them vulnerable to a variety of cyberattacks. In hospitals and clinics, hackers can breach equipment, manipulate data, and disrupt facilities, putting patients’ health as well as their lives in jeopardy. A professional can manage cybersecurity threats by lowering the attack surface of the system. Security analysis, whether as a means to detect possible vulnerabilities that can be exploited by attackers or as a means to prevent cyberattacks, plays an important role in risk mitigation. In addition, throughout the pre-market and post-market phases, security checks are required. This study presents a paradigm for incorporating security check concepts into medical device design and development and healthcare big data security. The security of devices and healthcare data is tested by the integrated fuzzy AHP-TOPSIS method. After the security check of devices, with the parameters security-checked for data, the algorithm is designed and implemented. As a result, the appropriate customized security controls are prompted in order to impede the attack.

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Section: Integrated Fuzzy Ahp-topsis Methodsmentioning

confidence: 99%

Towards Design and Development of Security Assessment Framework for Internet of Medical Things

2022

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“…Due to the structure of the HEV hybrid drive, depending on the transfer and summation of power, a series, parallel and series-parallel drive can be distinguished [5][6][7][8][9][10][11]. A serial hybrid drive is characterized by the fact that the internal combustion engine drives a generator and is only responsible for producing electricity to power the electric motor that drives the car's wheels.…”

Section: Factors Influencing the Dynamic Characteristics Of Car Controlmentioning

confidence: 99%

Analysis of Energy Flow in Hybrid and Electric-Drive Vehicles

Parczewski,

Wnęk

2024

Energies

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Nowadays, the automotive market offers cars equipped with various types of drive systems, including a classic system in which the internal combustion engine burns fuel to power the vehicle, a hybrid system in which the internal combustion engine is supported by an electric machine (MHEV), and an electrical system in which energy to power the vehicle is drawn from the battery (BEV). Hybrid and electric vehicles have the ability to recover energy during deceleration and braking. Choosing a car with the right drive system is not easy for the average vehicle user. The article presents a comparison of vehicles with various drive systems. For this purpose, a diagnostic scanner was created that allows reading data from the car’s CAN network. The comparison of the obtained data allows for the presentation of more information about vehicles equipped with different drive systems. In particular, parameters such as energy consumption, the possibility of its recovery during braking and the instantaneous power of electric machines were subjected to comparative analysis. Vehicle tests were carried out on a chassis dynamometer in accordance with the WLTP test.

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“…The TOPSIS approach is an MCDM technique formed by two researchers, Hwang and Yoon, that is centered on the "comparative nearness to an optimal situation" concept. In other statements, the main objective is to choose a consequence that is as close to the positive ideal solution (PIS) as imaginable and as far away from the negative ideal solution (NIS) as is practical from a set of available alternatives [28][29][30]. After specifying the weights for every predefined criterion, the results are computed and normalized, and the geometric distance between every alternative as well as the PIS and NIS is assessed [31].…”

Section: Fuzzy Topsis Approachmentioning

confidence: 99%

Selection of an Efficient Classification Algorithm for Ambient Assisted Living: Supportive Care for Elderly People

et al. 2023

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Ambient Assisted Living (AAL) is a medical surveillance system comprised of connected devices, healthcare sensor systems, wireless communications, computer hardware, and software implementations. AAL could be used for an extensive variety of purposes, comprising preventing, healing, as well as improving the health and wellness of elderly individuals. AAL intends to ensure the wellbeing of elderly persons while also spanning the number of years seniors can remain independent in their preferred surroundings. It also decreases the quantity of family caregivers by giving patients control over their health situations. To avert huge costs as well as possible adverse effects on standard of living, classifiers must be used to distinguish between adopters as well as nonadopters of such innovations. With the development of numerous classification algorithms, selecting the best classifier became a vital and challenging step in technology acceptance. Decision makers must consider several criteria from different domains when selecting the best classifier. Furthermore, it is critical to define the best multicriteria decision-making strategy for modelling technology acceptance. Considering the foregoing, this research reports the incorporation of the multicriteria decision-making (MCDM) method which is founded on the fuzzy method for order of preference by similarity to ideal solution (TOPSIS) to identify the top classifier for continuing toward supporting AAL implementation research. The results indicate that the classification algorithm KNN is the preferred technique among the collection of different classification algorithms for the ambient assisted living system.

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Toward a Unified Model Approach for Evaluating Different Electric Vehicles

Cited by 18 publications

References 33 publications

Towards Design and Development of Security Assessment Framework for Internet of Medical Things

Towards Design and Development of Security Assessment Framework for Internet of Medical Things

Analysis of Energy Flow in Hybrid and Electric-Drive Vehicles

Selection of an Efficient Classification Algorithm for Ambient Assisted Living: Supportive Care for Elderly People

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