The pedagogical modelling of everyday classroom practice is an interesting kind evidence, both for educational research and teachers' own professional development. This paper explores the usage wearable sensors machine learning techniques to automatically extract orchestration graphs (teaching activities their social plane over time), on a dataset 12 sessions enacted by two different teachers in settings. included mobile eye-tracking as well audiovisual accelerometry data from worn teacher....

This research paper explores the development of an "Advanced Tour Guide" web application designed to assist travelers by providing detailed location information, booking options, and relevant travel advice. The project incorporates a front-end architecture built using HTML, CSS, JavaScript, focusing on user-friendly interfaces like landing details pages. back-end employs Node.js SQL manage user data enable functionalities, while third-party APIs for weather forecasts advisories enrich...

Abstract Tropical cyclones (TCs) represent a significant hazard to the southwest Pacific (SWP) region, impacting on properties, lives and infrastructure, accounting for ~76% of reported disasters within region. A particular challenge that island nations face is inherent degree variability in TC risk from season season, which hampers adaptation planning due difficulty predicting how many TCs will form subsequent areas impact. Therefore, this study aims assess historical genesis decay (i.e.,...

Abstract Variability in tropical cyclone (TC) track morphology, as it evolves post genesis, presents continued challenges accurately forecasting TC movement. Therefore, an improved understanding of climatology is essential, given that TCs are one the most critical natural hazards southwest Pacific (SWP) region. We examine historical variability tracks within SWP over last 70 years (1948–2017) using 6‐hourly data obtained from South Enhanced Archive Tropical Cyclones (SPEArTC) database. A...

Extreme rainfall events often lead to excessive river flows and severe flooding for Pacific Island nations. Fiji, in particular, is exposed extreme associated flooding, with significant impacts on properties, infrastructure, agriculture, the tourism sector. While these occurrences are tropical cyclones (TCs), specific characteristics of TCs that produce not well understood. In TC intensity does appear be a useful guide predicting rainfall, since weaker capable producing large compared more...

This paper presents the design of an assistive technology that allows people with disabilities to communicate learning environments. We propose Tongue Drive System (TDS) which enables end user use their tongue by means Android Device. In this study, TDS is discussed.

This paper presents a cost-effective design of wearable wireless tongue drive system (TDS) for disabled individuals, particularly with spinal cord injuries. We propose basic TDS whose language is specifically designed issuing movement-based commands, be it gadget or self-governing transport chair. While the overall industrial penetration low, we offer cheap and straightforward that consists items which amount to as low US$30. A data-driven-based approach has been used classify...

Abstract Groundwater salinity is a critical factor affecting water quality and ecosystem health, with implications for various sectors including agriculture, industry, public health. Hence, the reliability accuracy of groundwater predictive models are paramount effective decision-making in managing resources. This pioneering study presents validation model aimed at forecasting levels using three different methods data partitioning strategies. tests methodologies data-partitioning strategies...

Abstract Tropical cyclones (TCs) impact the economy, properties, lives and infrastructure of island nations territories southwest Pacific (SWP), accounting for three in four regional disasters each year. To increase resilience SWP to destructive impacts TCs, improved TC track forecasts are needed since a high degree uncertainty exists around likely path will take this region post-formation. This requires better comprehension factors contributing variability occurring at different timescales....

The modulating influence of the Madden–Julian oscillation (MJO) on tropical cyclones (TCs) has been examined globally, regionally, and subregionally, but its impact island scale remains unclear. This study investigates how TC activity affecting Tonga region is being modulated by MJO, using Southwest Pacific Enhanced Archive Tropical Cyclones (SPEArTC) MJO index. In particular, this modulates frequency intensity TCs relative to entire period (1970–2019; hereafter referred as all years), well...

Retail analytics helps a company gain deeper understanding of customer demand, making shopping more relevant, personalized, and convenient boosting sales using optimal pricing. This paper aims to demonstrate retail through prototype that uses big data technologies. Using the technologies, raw is stored, analyzed visualized get valuable decision-making insights. The project objective help companies from which they can make decisions anticipate Covid-19 effects. design for system includes...

Abstract Wireless Power Transfer (WPT) technology has recently gained popularity in applications and research topics. It enables the transfer of electrical energy from a source to load without connecting wires physically. The WPT system is commonly studied classically using integer order capacitors inductors. Nonetheless, such based systems have drawbacks, as low output power, poor transmission efficiency sensitivity parameter variations. This paper proposes fractional resonant circuit...

Recent attention on effects of climate change in the Pacific island countries (PIC’s) have focused a multitude areas which are at risk region. These include food security, flora and fauna, land accessibility, groundwater contamination so on. aspects essential for sustainable development small states One issue, appears synonymous with is sea-level rise. The rising sea level can detrimental civil infrastructure since its intrusion further inland lead to deterioration nearby metallic due...

Abstract Recently, we developed seasonal prediction schemes with improved skill to predict tropical cyclone (TC) activity up 3 months in advance for the Solomon Islands (SI) region (5°–15°S, 155°–170°E) using sophisticated Bayesian regression techniques. However, TC at subseasonal timescale (i.e., 1–4 weeks advance) is not being researched that despite growing demands from decision makers sectoral level. In this paper, first assess feasibility of developing frameworks SI a pool predictors...

Abstract East coast cyclones (ECCs) provide an essential reprieve from dry periods across eastern Australia. They also deliver flood‐producing rains with significant economic, social and environmental impacts. Assessing comparing the influence of different types is hindered by incomplete understanding ECC typology, given their widely variable spatial temporal characteristics. This study employs a track‐clustering method (probabilistic, curve‐aligned regression model) to identify key cyclonic...