Digital Commons Network^™

The Development Of Dark Hyperspectral Absolute Calibration Model Using Extended Pseudo Invariant Calibration Sites At A Global Scale: Dark Epics-Global, Padam Bahadur Karki

Electronic Theses and Dissertations

This research aimed to develop a novel dark hyperspectral absolute calibration (DAHAC) model using stable dark targets of "Global Cluster - 36" (GC-36), one of the clusters from "300 Class Global Classification." The stable dark sites were identified from GC-36 called "Dark EPICS-Global" covering the surface types viz; dark rock, volcanic area, and dark sand. The Dark EPICS-Global shows a temporal variation of 0.02 unit reflectance. This work uses the Landsat-8 (L8) Operational Land Imager (OLI) , Sentinel-2A (S2A) Multispectral Instrument (MSI) , and Earth Observing One (EO-1) Hyperion data for the DAHAC model development, where well-calibrated L8 and S2A …

Business Meeting Report (Secretary's And Treasurer's Report), Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Advancing Internet Viewpoint Diversity: A Novel Algorithm And A Corpus Creation Tool, Jeffrey Harwell

CGU Theses & Dissertations

A fundamental requirement for Western democracy is an informed and engaged electorate with access to a wide range of viewpoints. However, concerns have arisen regarding how information technology affects the diversity of viewpoints available. In response to an increasingly polarized society and worries surrounding filter bubbles and algorithmic bias, this research presents a novel tool for constructing internet-based topical corpora and an algorithm tailored for viewpoint detection and the curation of diverse search results.Following a comprehensive exploration of viewpoint diversity through the lenses of mass media, social psychology, and information retrieval, this dissertation presents an approach to operationalize viewpoint diversity …

Decision Making Based On Valued Fuzzy Superhypergraphs, Mohammad Hamidi, Florentin Smarandache, Mohadeseh Taghinezhad

Branch Mathematics and Statistics Faculty and Staff Publications

This paper explores the defects in fuzzy (hyper) graphs (as complex (hyper) networks) and extends the fuzzy (hyper) graphs to fuzzy (quasi) superhypergraphs as a new concept. We have modeled the fuzzy superhypergraphs as complex superhypernetworks in order to make a relation between labeled objects in the form of details and generalities. Indeed, the structure of fuzzy (quasi) superhypergraphs collects groups of labeled objects and analyzes them in the form of the part to part of objects, the part of objects to the whole group of objects, and the whole to the whole group of objects at the same time. …

Smoke, Air, Fire, Energy (Safe) In Rural California: Critical Reflections On An Interdisciplinary Research Collaboration, Deepti Chatti, Carisse Geronimo, Cassidy Barrientos, Jana Ganion, Malcolm Moncheur, Peter Alstone Phd, Shawn Bourque, Tanya Garcia, Tesfayohanes Yacob

Humboldt Journal of Social Relations

This article provides a synthesis of the interconnected problems of tenuous energy access, wildfires, and exposures to high air pollution in Indigenous communities in rural California through the lens of ongoing collaborative research being carried out by researchers at Cal Poly Humboldt, Schatz Energy Research Center, Karuk Department of Natural Resources, and the Blue Lake Rancheria Tribe. The collaboration is funded by the Strategic Growth Council of the state of California, and we hope is the beginning of a longer term relationship between all partners. We are an interdisciplinary team of researchers drawing on energy engineering, air pollution science, and …

Understanding Changes In Land Use Patterns At A Parcel Level In Central Florida Counties (Orange, Seminole, Osceola), Youssef Mohamed Abdelaziz Elsebaie

Electronic Theses and Dissertations, 2020-2023

In Florida, a state with significant population growth, it is essential to understand how land use change and transportation interact. Understanding these interactions between land use and transport is useful for transportation planners and land use modelers. Hence, in this research, we attempt to quantify the impact of the transportation system on land use and vice-versa. The research, using high-resolution land use data from 2011 to 2019, builds a binary logistic regression model of land use change. The model accounts for various independent variables, including socio-demographic attributes, built environment characteristics, and transportation network variables. The data set covers GIS data …

Treating Contaminated Water: Predicting Reactivities Of Aqueous Organic Contaminants With Hydrated Electrons, And Development Of A Biogarden To Manage Greywater Discharge In Monteverde, Costa Rica, Rose C. Daily

Dissertations, Master's Theses and Master's Reports

Advanced reduction processes (ARPs) that generate highly reactive solvated electrons (e^-_aq) are a promising method for the destruction of conventional and emerging aqueous organic contaminants. While there is a large database of contaminant reactivity with e^-_aq in the literature, there is little information on the detailed elementary mechanisms for reduction of multifunctional group compounds and the impact of those functional groups on reactivity. As it is difficult to determine specific mechanisms through experiments and time consuming to measure reactivity, the development of computational approaches to elucidate mechanisms and predict reactivity is becoming increasingly important. In …

Computational Decision Support For Socio-Technical Awareness Of Land-Use Planning Under Complexity—A Dam Resilience Planning Case Study, Andreas Tolk, Jennifer A. Richkus, F. Leron Shults, Wesley J. Wildman

VMASC Publications

Land-use planning for modern societies requires technical competence as well as social competence. We therefore propose an integrative solution enabling better land-use planning and management through better-informed decision-making. We adapt a method developed for cross-disciplinary team building to identify the stakeholders and their various objectives and value systems. We use these results to populate artificial societies embedded into a dynamic data analytics framework as a tool to identify, explore, and visualize the challenges resulting from the different objectives and value systems in land-use planning and management. To prove the feasibility of the proposed solution, we present two use cases from …

Development Of A Framework To Support Community-Scale Nutrient Recovery For Local Crop Fertilization And Production, Scott A. Lopez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Nutrient and resource recovery (NRR) has become increasingly crucial as regions face deteriorating sanitation infrastructures, limited support, and growing environmental challenges. Implementing region-specific NRR technologies and systems could provide effective circular economy insights into addressing these challenges. Because of the multidisciplinary challenges associated with the design and implementation of NRR strategies, various government and local decision-makers need to collaborate effectively in the decision-making process. Structured decision-making (SDM) methodologies are practical when determining the most appropriate NRR strategy for nutrient-rich waste streams. However, applications of computational SDM limited because of the vast amounts of data that are needed to analyze the …

การประมาณความสูงอาคารจากข้อมูลดาวเทียมแบบเปิด พื้นที่ศึกษาเมืองกรุงเทพมหานคร, เทพชัย ศรีน้อย

Chulalongkorn University Theses and Dissertations (Chula ETD)

ข้อมูลความสูงอาคารมีความสำคัญในการศึกษาสภาพแวดล้อมของเมือง การคำนวณปริมาณทางกายภาพที่เกี่ยวข้องกับเมือง ตลอดจนการทำแผนที่สามมิติและการนำไปใช้วิเคราะห์เชิงพื้นที่ต่างๆ วิธีการหนึ่งในการประมาณความสูงอาคารจำนวนมากในพื้นที่เมืองคือการใช้ข้อมูลดาวเทียมทั้งแบบเรดาร์และเชิงทัศน์ ซึ่งเปิดให้ดาวน์โหลดนำมาใช้งานได้โดยไม่เสียค่าใช้จ่าย งานวิจัยนี้ศึกษาแนวทางการประมาณความสูงอาคารในพื้นที่ศึกษาเมืองกรุงเทพมหานคร โดยสนใจประเด็นรูปแบบข้อมูลดาวเทียม และ อัลกอริทึมที่ใช้ในการทำแบบจำลอง ซึ่งงานวิจัยนี้ได้นำเสนอการใช้เทคนิคเกรเดียนต์บูสท์ติ้งแบบถดถอยในการทำแบบจำลอง โดยมีข้อมูลความสูงอาคารจากแบบจำลองระดับพื้นผิวจากผลผลิตของการทำแผนที่ด้วยอากาศยานไร้คนขับเป็นข้อมูลสร้างและทดสอบแบบจำลอง ผลการวิจัยพบว่าการใช้ข้อมูลผสมทั้งเรดาร์และเชิงทัศน์ ให้ความถูกต้องดีกว่าการใช้ข้อมูลเรดาร์หรือเชิงทัศน์อย่างเดียว และ การใช้เทคนิคเกรเดียนต์บูสท์ติ้งแบบถดถอยให้ผลลัผธ์ได้ใกล้เคียงกับเทคนิคป่าสุ่มแบบถดถอย และให้ผลลัผธ์ได้ดีกว่าเทคนิคซัพพอร์ตเวกเตอร์แมชชีนแบบถดถอย ผลการทดสอบแบบจำลองที่สร้างจากข้อมูลผสมด้วยเทคนิคเกรเดียนต์บูสท์ติ้ง มีค่ารากที่สองของกำลังสองเฉลี่ยที่ 11.726 เมตร ที่ความสูงอาคารไม่เกิน 100 เมตร กับมีค่า 7.915 เมตร ที่ความสูงอาคารไม่เกิน 50 เมตร การใช้ข้อมูลดาวเทียมความละเอียดจุดภาพสิบเมตร การเลือกและคำนวณดัชนีภาพถ่าย และแบบจำลองเรียนรู้ด้วยเครื่อง ทำให้ได้ผลลัผธ์ที่จำกัดช่วงความสูง และมีสัมประสิทธิ์การทำนายของคำตอบน้อย

Centering F.A.M.I.L.Y. In Black Girls Stem Learning, Crystal Morton, Lawren Nelson, Idaila Wilmoth

Indiana STEM Education Conference

The Fostering and Maximizing Interdisciplinary Learning Year-round (F.a.M.I.L.Y) was a one-year pilot study that provided Black girls and their caregivers with an opportunity to complete collaborative, life-enriching, multidisciplinary, and socially transformative STEM experiences to explore how these learning experiences impact Black girls and their caregivers' enjoyment of STEM, interest in STEM content and careers, and understanding of STEM as a tool for personal and social change. Seven families for a total of 11 scholars and seven caregivers participated in the study. We hosted 10 online learning sessions and one end-of-year face-to-face session. …

Urban Transportation Strategy As Urban Sustainable Indicator Frameworks Study Of Masdar City, Abu Dhabi, Rania Badawy Shokry

Mansoura Engineering Journal

— New models are being created for the planning and administration of sustainable cities as the worldwide trend toward urbanization continues. To create Masdar City, a carbon-neutral, zero-waste city that would showcase cutting-edge sustainable city architecture, the Abu Dhabi government declared in 2006 that it intended to invest $22 billion in its construction. This study aims to focus on one of the indicators of the sustainability of cities, which is sustainable transport, and to clarify how sustainable transport can be translated from Theory to Practice, by standing on the concept of sustainable cities and sustainable transport that works to enhance …

Method Of Validating Satellite Surface Reflectance Product Using Empirical Line Method, Meghraj Kc

Electronic Theses and Dissertations

Atmospherically corrected surface reflectance (SR) products are used for reliable monitoring of land surfaces and are the standard products of Landsat sensors. Due to increased demand for SR products, a need exists to verify that the L2C2 (Level-2 Collection-2) SR products are precise and accurate. The Level-2 Collection 2 (L2C2) SR Product is processed satellite imagery data that corrects for atmospheric effects such as absorption and scattering, providing a more accurate representation of Earth's surface. The validation of SR products using ground truth measurement is essential. This study aims to develop and evaluate a validation methodology for satellite SR products. …

Implicit Racial Bias: A Human Computer Interaction Study Using Eye Tracker, Wenfan Zhang

Master's Projects

Contemporary Human-Computer Interaction (HCI) research has an increasing emphasis on reducing ethnicity bias. The study presents a new method to explore and reduce biases using detailed experiments. The experimental procedure involves presenting participants with images of ethnically diverse characters across three conditions. The study's results significantly illuminate ethnicity bias in character selection dynamics. Participants exposed to targeted training interventions displayed a significant shift in preferences for characters engaged in intellectual activities. Notably, this shift was influenced by the ethnicity of the characters involved. Interestingly, the eye-tracking data unveiled distinct patterns of cognitive load, characterized by slower response times and greater …

Analyzing The Benthic Cover Of Crustose Coralline Algae Using Mask-R Cnn, Rachana Ravindra

Master's Projects

Coral reefs, supporting 25% of marine biodiversity, confront challenges from local and global impacts like overfishing, runoff, acidification, and warming. Crustose Coralline Algae (CCA), pivotal for reef structure and coral settlement, are underrepresented in research. Current methods like Coral Point Count with Excel Extensions (CPCe) have limitations, relying on image quality and being time-consuming. This paper proposes computer vision and Mask R-CNN, a supervised machine learning model, for CCA analysis in reef images, considering color, texture, and shape. Results indicate promise in clustering and classifying organisms. The innovative technology reduces manual labor, enhancing image analysis, simplifying the understanding of CCA’s …

Development And Analysis Of A Game Play In Chulalongkorn University Central Library Metaverse, Aisha Munir

Chulalongkorn University Theses and Dissertations (Chula ETD)

Metaverse is the next generation of the internet that allows people to interact with digital content in a more immersive and interactive way. This paradigm shift extends to the realm of education, where the concept of a smart campus is reshaping traditional educational systems. This research focuses on the integration of the metaverse in education, with a specific emphasis on smart libraries. Recognizing libraries as integral components of educational systems, this study proposes a metaverse platform for Chulalongkorn University's central library. The proposed platform enables users to explore the virtual library remotely and simulate resource classification and physical service in …

Urban Freight Transportation: The Interaction Of Home Deliveries In Cities, Carla A. Tejada

Dissertations and Theses

The movement of freight in urban areas is a key factor in the sustainable development of cities. If managed correctly, it can potentiate economic growth and support urban lifestyles. Nevertheless, the movement of goods in cities is usually in conflict with other urban flows and is generally perceived as having more negative externalities, above all for environmental and social sustainability. While the first focuses on measuring the impact on the environment, the latter focuses on measuring the impacts of business decisions on people. The main goal of this dissertation is to study the relationship that urban goods movements, mainly residential …

Exploring Of User Experience And Evaluating Mobility Benefits Of Micromobility Systems And Golf Carts: Case Study Of Florida, Kabhabhela C. Bukuru

UNF Graduate Theses and Dissertations

Micromobility devices and golf carts (GCs)/Low speed vehicles(LSVs) are urban transportation solutions that provide short-distance travel options, including first- and last-mile trips. They mostly operate at speeds of 15 mi/h to 35 mi/h. The micromobility devices include e-scooters and e-bikes. The micromobility devices and golfcarts are increasing rapidly in the transportation system, and thus, it is necessary to explore their various factors. The objective of this study is to explore the user experience and evaluate the mobility benefits of the micromobility systems in Florida.

A survey was conducted in various cities with a substantial user base of micromobility devices. Various …

Estimation Of Respiratory Disease Burden Attributed To Particulate Matter From Biomass Burning In Northern Thailand Using 1-Km Resolution Maiac-Aod, Anuttara Hongthong, Kampol Nanthapong, Thongchai Kanabkaew

Applied Environmental Research

The upper northern Thailand suffers from air pollution due to open burning, which has been known for a long time. It was also found that different respiratory diseases were attributed to air pollution, especially particulate matter. This study estimated the health impacts attributed to PM10 between 2014 and 2016 using the burden of disease in terms of the disability adjusted life year (DALYs). The spatial correlation was evaluated based on applicable remote sensing data using the geographically weighted regression (GWR) model. The average measured PM10 concentrations for the summer and annual periods between 2014 and 2016 were 73 and 89 …

Microplastic Contamination In The Coastal Environment: A Case Study From The Mae Klong River, Samut Songkhram, Pattraporn Chaisanguansuk, Suphak Ploenbuppa, Thitiphan Assawincharoenkij, Sumet Phantuwongraj, Akkaneewut Jiraphinyakul

Applied Environmental Research

To investigate the microplastic contamination in the coastal area in Samut Songkhram, we collected sediment samples from six locations in mangrove forests along the Mae Klong River estuary (MK) and the nearby Khlong Khon canal (KK). The microplastics were extracted by ZnCl2 density separation and subsequently H2O2 digestion. The microplastic abundance and physical properties, including their size, color, and shape, were determined under the binocular microscope. The selected microplastic samples were analyzed by µ-FTIR spectroscopy to identify their polymer types. Microplastic concentrations were c. 580 and 1690 items kg-1 d.w. in the samples from MK and KK. The lower microplastic …

Health Impacts From Pm2.5 Exposure Using Environmental Epidemiology And Health Risk Assessment: A Review, Thanakon Sukuman, Kayo Ueda, Sarunya Sujaritpong, Hirunwut Praekunatham, Kornwipa Punnasiri, Tuangsit Wimuktayon, Trakarn Prapaspongsa

Applied Environmental Research

Exposure to PM2.5 has been known to cause a variety of serious health consequences. Quantifying and investigating the health effects of PM2.5 pollution are imperative to understand and collect scientific evidence for supporting policies and associated actions. In this paper, we reviewed published environ-mental epidemiological studies and health risk assessments evaluating the health impacts of PM2.5 exposure in the PubMed database to identify the attributes of each method and aggregate the health impact results to perform analyses and summaries. Forty-two studies were identified after applying our search strategy, inclusion, and exclusion criteria. The epidemiological studies found an increased risk of …

Enhancing Community Resiliency With Big Data And Machine Learning: Property Damage And Flood Forecasting During Hurricanes, Mujungu Lawrence Museru

All ETDs from UAB

Globally, coastal communities face significant vulnerability to the risks and impacts of flooding. This study addresses two critical aspects of flood management: enhanced flood damage assessment and coastal flooding prediction. Traditional flood damage modeling techniques have limitations, and the availability of comprehensive datasets is limited. The first part addresses these challenges. Multivariable machine learning models are applied to enhance flood damage assessment. A comprehensive dataset is developed by combining the Alabama property dataset with the National Flood Insurance Program (NFIP) claims dataset from Hurricane Katrina. Spatial varying datasets are added to enhance the comprehensiveness of NFIP dataset and oversampling techniques …

Airport Ground Access Choice Between Transportation Network Companies And Parking: A Case Study Of Hartsfield-Jackson Atlanta International Airport, Sen Wang, Yichen Zheng, Yi Gao

International Journal of Aviation, Aeronautics, and Aerospace

The segment between home and airports is an essential component in all air transportation trips. Travelers normally have different ground access options to commence their journeys. Using Hartsfield-Jackson Atlanta International Airport as a special case, this study proposes a theoretical framework for quantifying and comparing the overall cost of driving and parking at airport and the use of Transportation Network Companies (TNCs) ridesharing services such as Uber. Based on the cost comparison, we design an interactive web application to visualize the utility advantage area and summarize the corresponding demographic information. Our study has the potential to benefit airports, TNC operators, …

Learning From Past In The Commercial Air Transport Industry: A Bibliometric Analysis And Systematic Literature Review In The Safety Management Framework, Alok Tyagi, Rajesh Tripathi Dr, Soufiane Bouarfa Dr

International Journal of Aviation, Aeronautics, and Aerospace

In the commercial air transport industry, numerous accidents have occurred because stakeholders have failed to learn lessons from the past. The reactive hazard identification (HI) methodology in the current regulatory safety management framework provides a fresh opportunity to negotiate the challenges of the air transportation sector's predicted growth and societal safety expectations. In the regulatory framework, ‘learning from the past’ is related to the reactive method of HI, and it is viewed as a data-driven decision-making process in this review. This literature review aims to investigate academic literature on ‘learning from the past’ in the aviation industry to comprehend an …

Strategic Distribution Centres Location For Traffic Safety Products, Pakaporn Bunwit

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research aims to determine suitable locations to build distribution centers for a specific company that distributes traffic safety products to highway offices across every province in Thailand using strategic methods. In this problem set, the predetermined location of customers and each corresponding demand were given. With customer locations spreading widely across Thailand, this research aims to find locations of distribution centers, which will result in the lowest cost to travel from the company's headquarter to the distribution centers and the cost of travelling to and from customers from those distribution centers by considering the transportation cost, vehicle cost and …

Projections Of Drought Indices Under Climate Change In The Upper Chao Phraya River Basin, Pech Ponleu

Chulalongkorn University Theses and Dissertations (Chula ETD)

Climate change significantly impacts water resource management by intensifying the variability and frequency of extreme events like droughts. This study aims to understand drought processes and assess climate change impacts on drought in the Upper Chao Phraya River basin. The Standardized Precipitation Index (SPI) and Standardized Streamflow Index (SSI) of 3-, 6- and 12-month accumulation periods were estimated for historical from 1985 to 2014, near future (NF) from 2025 to 2054 and far future (FF) from 2070 to 2099 periods. Using GCMs from CMIP6 (MPI-ESM1-2-L, IPSL-CM6A-LR, and GFDL-CM4), bias-corrected via quantile mapping, we found good agreement with observed rainfall data. …

A Channel And Spatial Attention Feature Extraction Method For Remote Sensing Image Super-Resolution Using Vision Transformer, Naveed Sultan

Chulalongkorn University Theses and Dissertations (Chula ETD)

In recent years, convolution neural networks have achieved a remarkable advancement in remote sensing image super-resolution due to the complexity and variability of textures and structure. Current deep learning-based super-resolution models concentrate less on high-frequency features, which leads to suboptimal performance in capturing contours, texture, and spatial information. State-of-the-art deep learning methods now focus on feature extraction of remote sensing images using attention mechanisms. However, these methods are still incapable of effectively identifying and utilizing key content attention. The existing transformer models do not focus on capturing the spatial information in their encoder and decoder parts. To cover these problems, …

การใช้ข้อมูลการสำรวจระยะไกล และระบบสารสนเทศภูมิศาสตร์ในการประเมินพื้นที่เสี่ยงไฟป่า ในเขตพื้นที่ป่าโรงเรียนนายร้อยพระจุลจอมเกล้า และพื้นที่ใกล้เคียง จังหวัดนครนายก, ปาริฉัตต์ สุขศรี

Chulalongkorn University Theses and Dissertations (Chula ETD)

การศึกษานี้มีวัตถุประสงค์เพื่อประเมินพื้นที่เสี่ยงภัยจากไฟป่าและถอดบทเรียนกรณีศึกษาการเกิดไฟป่าในเขตพื้นที่โรงเรียนนายร้อยพระจุลจอมเกล้าและพื้นที่ใกล้เคียง จังหวัดนครนายก ซึ่งวิธีการศึกษาพื้นที่เสี่ยงภัยจากไฟป่าได้ใช้ข้อมูลการสำรวจระยะไกล และระบบสารสนเทศภูมิศาสตร์ โดยใช้ภาพถ่ายดาวเทียม LANDSAT-8 บันทึกข้อมูลภาพปี พ.ศ. 2559, พ.ศ. 2563 และ พ.ศ. 2566 และนำมาวิเคราะห์หาค่าดัชนีผลต่างพืชพรรณ (Normalized difference vegetation index: NDVI) และค่าอุณหภูมิพื้นผิว(Land surface temperature: LST) นอกจากนั้นใช้ภาพถ่ายดาวเทียม Sentinel-2 บันทึกข้อมูลเมื่อปี พ.ศ. 2559, พ.ศ. 2563 และ พ.ศ. 2566 มาวิเคราะห์หาค่าดัชนีการเผาไหม้ (Difference Normalized Burn Ratio: dNBR) เพื่อหาพื้นที่ที่ถูกเผาไหม้โดยใช้โปรแกรม SNAP โดยทั้งนี้การวิเคราะห์พื้นที่เสี่ยงต่อการเกิดไฟป่านั้นนำปัจจัยต่าง ๆ เข้ามาช่วยในการวิเคราะห์ด้วยระบบสารสนเทศภูมิศาสตร์ ได้แก่ ความสูงจากระดับน้ำทะเล ความลาดชัน ทิศด้านลาด ชนิดป่า ระยะห่างจากเส้นทางคมนาคม ระยะห่างจากตำแหน่งหมู่บ้าน ระยะห่างจากพื้นที่เกษตรกรรม ค่าดัชนี NDVI และ ค่า LST พื้นที่เสี่ยงต่อการเกิดไฟป่าในพื้นที่ศึกษาได้กำหนดค่าคะแนนความสามารถของปัจจัยแต่ละตัว (Rating value) โดยใช้การคำนวณเปอร์เซ็นต์ CV (Coincided Value) ช่วยในการพิจารณา ส่วนค่าถ่วงน้ำหนักความสำคัญระหว่างปัจจัย (Weight Score) ได้จากการให้คะแนนโดยผู้เชี่ยวชาญและนำมาคำนวณด้วยวิธีการวิเคราะห์ตามลำดับชั้น (Analytic Hierarchy Process: AHP) ผลการวิเคราะห์พื้นที่เสี่ยงภัยจากไฟป่าสามารถจำแนกได้ 4 ชั้น คือ พื้นที่เสี่ยงมากที่สุด พื้นที่เสี่ยงมาก พื้นที่เสี่ยงปานกลาง และพื้นที่เสี่ยงน้อย คิดเป็นพื้นที่เท่ากับ 30,982.19 ไร่ (17.98%), 34,307.94 ไร่ (19.90%), 103,087.69 ไร่ (59.81%) และ 3,977.44 ไร่ (2.31 %) ตามลำดับ โดยพื้นที่เสี่ยงมากที่สุดส่วนใหญ่อยู่ใน ตำบลพรหมณี …

The Role Of Teacher Agency In Using Gis To Teach Sustainability: An Evaluation Of A Lower Secondary School Story Mapping Gis Initiative In Ireland, Sasha Brown, Zerrin Doganca Kucuk, Angela Rickard, James Lonergan, Rachel Abernethy, Lorraine Mcnerney, Ronan Foley, Avril Behan, Aengus Byrne, Bernard Essel, Jack Ffrench, Jonathan Faull, Conor Cahalane

Articles

This paper investigates the role of teacher agency for those who were trained in using an innovative Geographic Information Systems (GIS) approach and incorporated GIS into their teaching. While national curricula increasingly emphasise STEM and sustainability approaches, there has been limited analysis of how teachers can bring new software, including GIS, and new approaches into the classroom. Through an evaluation of a teaching initiative “5*S: Space, Surveyors and Students – STEM and the Sustainable Development Goals” designed to bring GIS technology, satellite data, and the Sustainable Development Goals (SDGs) into classrooms as activities and resources for teachers and students in …

Optimizing Technical And Economic Aspects Of Off-Grid Hybrid Renewable Systems: A Case Study Of Manoka Island, Cameroon, Reagan J. J. Molu, Serge R. D. Naoussi, Patrice Wira, Wulfran F. Mbasso, Saatong T. Kenfack, Barun K. Das, Enas Ali, Muhannad J. Alshareef, Sherif S. M. Ghoneim

Research outputs 2022 to 2026

The lack of accessible and reliable electrical energy in Cameroon has become a pervasive obstacle to the nation's progress, with energy availability, quality, and cost identified as key hindrances to development over the past 15 years. Conventional solutions that rely on combustion engines and electrochemical storage systems have proven to be cost-prohibitive, limited in power output, and constrained in capacity. The dependence on traditional diesel generators has perpetuated maintenance challenges and a continuous demand for fuel supply, while the accompanying noise and pollution have restricted their use in residential areas. Recognizing the imperative of reducing dependence on fossil fuels and …