Building Management System

Pradeep, G.; shaker, P. Chandra; Prasad, SVS

doi:10.35940/ijitee.k2161.0981119

Cited by 3 publications

(2 citation statements)

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“…A study concludes that the scanning electron microscopy confirmed that quartz does not participate in geopolymerization and completely remains in the structure as fine particles. high-hardness quartz particles by retarding crack growth in the geopolymer matrix enhance the mechanical behavior of the samples [16,17]. Although quartz particles could potentially increase the compressive strength of geopolymers, the main factor determining the mechanical response of geopolymers is geopolymer gel, and to obtain the maximum compressive strength, appropriate thermal and alkaline activation of the source material is necessary [18].…”

Section: Resultsmentioning

confidence: 99%

Archives of Metallurgy and Materials

Sauffi,

Ibrahim,

Al Bakri Abdullah

et al. 2021

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Phase analysis of Different liquiD ratio on Metakaolin/DoloMite GeoPolyMerGeopolymer is widely studied nowadays in various scope of studies. Some of the ongoing studies are the study of the various materials towards the geopolymer strength produced. meanwhile, some of the studies focus on the mixing of the geopolymer itself. this paper discussed the phase analysis of metakaolin/dolomite geopolymer for different solid to the liquid ratio which was, 0.4, 0.6, 0.8, and 1.0, and the properties that affected the geopolymer based on the phases. the constant parameters in this study were the percentage of metakaolin and dolomite used. the metakaolin used was 80% meanwhile dolomite usage was 20%. besides that, the molarity of naoh used is 10m and the alkaline activator ratio used is 2.0. All the samples were tested at 28 days of curing. the results show that the 0.8 solid to the liquid ratio used gave better properties compare to other solid to liquid ratio. the phases analyzed were quartz, sillimanite, mullite, and faujasite. the 0.8 S/l ratio shows the better properties compared to others by the test of phase analysis, compressive strength morphology analysis, and functional group analysis.

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Section: Resultsmentioning

confidence: 99%

Archives of Metallurgy and Materials

Sauffi,

Ibrahim,

Al Bakri Abdullah

et al. 2021

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“…found that many authors used Kinect in their studies,Beena et al (2019);Prathap & Kumar (2019);Raghuveera et al (2019);Ravi et al (2019);Hisham & Hamouda (2019);Sidig et al (2019);Elpeltagy et al (2018); Sidiq et al (2021). Kinect uses sensors and a camera to collect coloured pictures of objects, including their depths.…”

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confidence: 99%

A Systematic Literature Review on Vision-Based Hand Gesture for Sign Language Translation

Johari¹,

Ramli²,

Zulkoffli³

et al. 2023

jkukm

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Deaf and hard of hearing people use sign language to communicate. People around mute and deaf people have difficulty communicating with each other if they do not understand sign language. This problem has prompted many researchers to conduct studies on sign language translation. However, there is a lack of compilation of SLR on this topic. Therefore, this paper aims to provide a thorough literature review of previous studies on sign language to text translation based on the vision method. PRISMA (Preferred Reporting Items to writing a standard Systematic Review and Meta-Analyses) is used in this systematic review. Two primary databases, Web of Science and Scopus, have been used to search for relevant articles and resources included in this systematic literature review. Based on the outcome of the systematic review of the topic, the primary studies on sign language translation systems were conducted using self-generated datasets more than public datasets. More static action sign language was studied compared to dynamic action sign language. For the type of recognition, more alphabet sign language was studied compared to digit, word, or sentence sign language. Other than that, most studies used digital cameras rather than Microsoft Kinect or a webcam. The most used classification method was Convolution Neural Network (CNN). The study is intended to guide readers and researchers for future research and knowledge enhancement in the field of sign language recognition.

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