Parametric Investigation of Metals (Au, Ag, Pt and Cu) Using Analytical Hierarchy Process

Asif, Muhammad; Rasool, Faiz; Butt, Zubair; Shahzad, Muhammad Asghar; Ahmad, Nouman; Chishti, Abdul Rehman

doi:10.1007/s42341-018-0079-8

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…The AHP covers mathematical properties (of SLAM sensor) and required preferences such as cost, computational complexity and reliability for the environment, and range. The complexities of a problem can be reduced by converting each preference into pairwise comparison [118].…”

Section: Optimization Of Selecting Slam Sensor Process Using Analytical Hierarchy Processmentioning

confidence: 99%

Investigation of Widely Used SLAM Sensors Using Analytical Hierarchy Process

et al. 2022

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Applications of mobile robots are continuously capturing the importance in numerous areas such as agriculture, surveillance, defense, and planetary exploration to name a few. Accurate navigation of a mobile robot is highly significant for its uninterrupted operation. Simultaneous localization and mapping (SLAM) is one of the widely used techniques in mobile robots for localization and navigation. SLAM consists of front- and back-end processes, wherein the front-end includes SLAM sensors. These sensors play a significant role in acquiring accurate environmental information for further processing and mapping. Therefore, understanding the operational limits of the available SLAM sensors and data collection techniques from a single sensor or multisensors is noteworthy. In this article, a detailed literature review of widely used SLAM sensors such as acoustic sensor, RADAR, camera, Light Detection and Ranging (LiDAR), and RGB-D is provided. The performance of SLAM sensors is compared using an analytical hierarchy process (AHP) based on various key indicators such as accuracy, range, cost, working environment, and computational cost.

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Section: Optimization Of Selecting Slam Sensor Process Using Analytical Hierarchy Processmentioning

confidence: 99%

Investigation of Widely Used SLAM Sensors Using Analytical Hierarchy Process

et al. 2022

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“…If Bi and Sn metals are active for HMF reduction, they can replace Ag, which is over 20 times more expensive than Bi and Sn. 25–27 Unfortunately, Bi and Sn have exhibited poor efficiency for HMF hydrogenation in the literature. 28…”

Section: Introductionmentioning

confidence: 99%

“…If Bi and Sn metals are active for HMF reduction, they can replace Ag, which is over 20 times more expensive than Bi and Sn. [25][26][27] Unfortunately, Bi and Sn have exhibited poor efficiency for HMF hydrogenation in the literature. 28 Here, we demonstrate that porous dendritic Bi and bimetallic BiSn electrocatalysts are highly active for the mass reduction of HMF at an FE of ∼100% with J > 140 mA cm −2 in a 2 M HMF solution at pH ∼ 7.…”

Section: Introductionmentioning

confidence: 99%