bluuebunny/crossref_metadata_2025 huggingface dataset:
An Intelligent Device to Analyze and Detect Driver Alertness using Media Pipe and Raspberry Pi
Authors: Feng Richard , Sahagun Jonathan
Published: September 2023

Distracted driving is an important problem that plagues the world, and is the cause of thousands of deaths in the United States. Distracted driving has cost an estimate of $44.2 billion to the US in damages. A way I can help solve this problem is creating a device that can detect if the driver is distracted. This device contains an Arducam Day n Night 1080p camera, a Raspberry Pi 3, and a buzzer. The device utilizes python and Mediapipe, a library which can locate important landmarks on the driver’s face [1]. During development, I had to face many challenges such as the driver possibly looking down subtlety with their eyes, or the camera being positioned in a weird way. During experimentation, I tested the delay, and accuracy of the device. After 35 trials, the device is accurate around 94%, and the delay is around 9 seconds. Overall, this device can be used by everyone who wants to be kept responsible and alert while driving.
An Application of Bluetooth-Enabled Accelerometer-Based Movement Detection for Musical Interactions with Mobile Devices
Authors: Qian Junyu , Sahagun Jonathan
Published: September 2023

I made a device that will make the phone that is connected to the device through Bluetooth play a note when the device detects a movement. When the device was being shaken by someone, the accelerometer will detect an acceleration and it will make the phone that is connected with the device with Bluetooth play notes in the app. This paper discusses the development and application of a Bluetooth-enabled accelerometerbased movement detection system for musical interactions with mobile devices [1][2]. The system consists of a device attached to an object and connected to a mobile device via Bluetooth [3]. When the object is moved, the accelerometer detects the movement and triggers the mobile device to play a musical note through a dedicated app. The system was tested using different objects and movements, and the results showed that it was accurate and consistent. The paper highlights the potential uses of the system in music performance, education, and therapy, such as creating a new type of instrument, teaching musical concepts in an interactive way, and helping individuals with physical disabilities to engage in music making. Overall, the paper demonstrates the potential of Bluetooth-enabled accelerometer-based movement detection for musical interactions with mobile devices.
An Educational Interactive Simulation to Teach Lifeguards-in-Training First Aid and Emergency Preparedness using Animation Rigging and 3D Modeling
Authors: Chen Ethan
Published: September 2023

Many people today lack basic first aid knowledge and emergency preparedness. Official first aid training requires too large of a time commitment and lacks concision, causing many learners and lifeguards-in-training to be deincentivized. In order to combat this problem, we created a first aid simulative video game in which the player acts as a lifeguard and needs to carry out various procedures such as CPR and water rescue. We used Unity Game Engine, Visual Studio 20, C# programming, mixamo.com, and the Unity Asset Store to construct our game. A key challenge we underwent was animating the various models due to the complex nature of creating animations. Instead of making the animations ourselves, we used mixamo.com to download already-published animations to import into our own game. In order to enhance the user experience, we experimented with the camera speed and hitboxes in order to get all the details right. Ultimately, Lifeguard Simulator provides a concise, captivating, and enjoyable first aid learning experience that is not available elsewhere.
KAYAPÓ KUKRÃDJÀ
Authors: Ferreira Freitas Sara
Published: September 2023

The present work aims to gather data and characteristics regarding the Kayapó indigenous peoples, proposing to observe the mythical, the symbolic, the meaning present in the culture, customs and politics of the Mebengokrê. Based on this assumption, we sought to understand the relationship with the conservation of indigenous territories, their cultural manifestations, rituals, cuisine and the artistic image as a means of expression, as well as body painting and indigenous artifacts that permeate their social life. Belonging to the Jê linguistic family, they are consolidated into 19 (nineteen) communities, occupying a territory of 11 (eleven) million hectares between the states of Mato Grosso and Pará, in the heart of the Brazilian Amazon forest
The influence of electronic word-of-mouth communication on online consumer buying behaviour in South Africa
Authors:   , Tinonetsana Faith
Published: September 2023

The growth of active users on online interactive media (OIM) platforms has led to the spread of information faster and broader and this has had a great impact on marketers. Consumer behaviour towards Electronic Word of Mouth (e-WOM) is complex, and not all user-generated content posted online will have the same effect on consumers. A consensus on what makes certain online reviews more influential than others and how they influence consumer behaviour is yet to emerge. The lack of knowledge hinders marketers efforts in designing effective marketing strategies for online retailers. The study was quantitative in nature. Self-administered questionnaires were used to collect primary data. The study targeted Generation Z and millennials, and the sample was drawn from students and staff members at the Durban University of Technology (DUT). The analysis was done using the latest version of the Statistical Package for Social Sciences (SPSS). Relevant ethical implications with regard to this study were considered. The structural equation model (SEM) results indicated that valence is the most influential factor of e-WOM during consumer buying decision. Further, there is a significant relationship between e-WOM and consumer buying behaviour. The study recommends that marketers come up with strategic ways to boost the chances of their brands generating positive e-WOM and take advantage of the influence of any good reviews and testimonials they receive. The need to pay close attention to negative e-WOM, keep an eye on unfavourable evaluations on some of the most popular e-WOM communication platforms and use negative feedback to improve product and service quality. Based on the findings this study proposed a framework for an e-WOM strategy towards influencing online consumer buying behaviour. The framework highlights the best approaches to influence consumer behaviour through e-WOM valence and the implementation thereof. Future studies could use a more qualitative approach to build on the existing study and so gain a deeper understanding of Generation Z and millennials consumers' perceptions of e-WOM and consumer buying behaviour.
Optimal Deployment of Unified Power Flow Controller on Nigerian 330 kV Grid Using Artificial Bee Colony
Authors: Jabir G. , Bakare G. A. , Haruna Y. S.
Published: September 2023

Transmission line power loss minimization and voltage profile improvement are challenging problems in modern power systems due to continuous increase in load demand. In this paper, an optimal location and sizing of unified power flow controller (UPFC) to improve the performance of the updated 54-bus 330 kV Nigerian network was presented. Here, the maximum power loss bus was identified to be the most favorable location for fixing the UPFC under different loading conditions; slightly underloaded (90%), normal loading (100%) and slightly over loaded (110%). The optimum location was determined using the artificial bee colony (ABC) algorithm. The work was implemented in MATLAB® 2021b environment and its performance was evaluated based on the simulation results obtained. The simulation results revealed that, ABC proved to be robust based on the facts that all the voltage profile that violate ± 5% tolerance margin of the nominal voltage criteria were kept within the acceptable limit after the UPFC optimal deployment. Moreover, the proposed approach also recorded significant reduction in the overall active and reactive power loss in the entire network with a minimum percentage average active power loss reduction of 45.3% under different loading conditions.
ANALYSIS OF CONVERGENT SIGMA AND CONVERGENT BETA REVENUE AND EXPENDITURE OF REGENCY/CITY GOVERNMENT IN THE SPECIAL REGION OF YOGYAKARTA
Authors: Asih Sriwinarti  , Wahyu Dwi Artaningtyas
Published: September 2023

The era of fiscal decentralization requires every region to be more optimal in managing their Regional Revenue and Expenditure Budget (APBD). However, due to the differences in the characteristics of each region, fiscal decentralization encourages the existence of regional budget gaps. This analysis explored the convergence of district/city government revenues and expenditures in the Special Region of Yogyakarta in 2011-2019 based on the sigma and beta convergence models. This study uses a quantitative approach that describes data in numerals or percentages and econometric analysis in the form of panel data regression (data pool). Panel data combines data, cross-section, five regencies/cities in DIY, and data for time series 2011-2019. The data needed in this study is the Realization of Regional Revenue and Expenditure data, as well as data on the control variables, namely the population, economic growth, and inflation sourced from the Central Statistics Agency and the Directorate General of Fiscal Balance, Ministry of Finance of the Republic of Indonesia. The calculation of sigma convergence uses the coefficient of variants, while the beta convergence calculation uses panel data regression analysis with a fixed-effect model approach. The results showed that Regency/City Revenues and Expenditures in DIY had not experienced sigma convergence because the average coefficient of variants of each revenue and expenditure was 3.51% and 3.29%; however, there was a tendency to experience convergence because the coefficient of variants has decreased from year to year. Conditional beta convergence, which includes control variables, shows a tendency for acceptance convergence with a convergence speed of 0.478%, and the length of time required to cover half the gap (half-life) is 16.83 years. Explanatory variables such as population and economic growth have accelerated revenue convergence. Meanwhile, the conditional beta also shows a tendency for spending convergence which takes 19.04 years with a convergence speed of 0.420%, where only the population variable is proven to accelerate the convergence of spending.

Keywords: Convergence; Regional Revenue; Regional Expenditures.
NOSTALGIA AND ROMANCE: A STUDY OF RELATIONSHIPS IN LOOK BACK IN ANGER
Authors: Rai Dastidar Monisha
Published: September 2023

NOSTALGIA AND ROMANCE: A STUDY OF RELATIONSHIPS IN LOOK BACK IN ANGER (pp. 90-107): Jun 2023 : I [I] Monisha Rai Dastidar DOI Link : https://doi.org/10.51767/JEN010107 NOSTALGIA AND ROMANCE: A STUDY OF RELATIONSHIPS IN LOOK BACK IN ANGER by Monisha Rai Dastidar is licensed under CC BY-NC-SA 4.0 Look Back in Anger is about the feelings of fury of the post-war penetration that felt betrayed, sold-out and irrevocably ruined; of the older generation that is like the “sturdy old plants left over from the Edwardian twilight who cannot understand why the sun isn’t shining anymore”; of women who seek identity in age-old practices and relationships like marriage only to find themselves gasping for “a little peace”; of people who cannot save their love from the “cruel steel traps” of society. The consciousness of “high noon” of the Victorian and Edwardian era looms painfully over the breeding ground of the post-war city of London and its emotionless existence. Nostalgia seems to be the only way to survive the emotional and social claustrophobia. The fate of each individual lies as if in looking back. This paper attempts to explore the different relationships that John Osborne offers in his play. This paper also seeks to know about the pitfalls of romance where neither looking back is pleasurable, nor does it hold anything to look ahead. Can a relationship sustain without a future but only a bitter past? Does the same thing happen to friendships and other filial relationships? Does love fall apart due to external forces or if the lovers do not know the way to hold on? Can love really be held on to? These are some of the questions that this paper seeks answers for.
ABORDAGEM MULTIPROFISSIONAL EM PREVENÇÃO E TRATAMENTO DA MUCOSITE ORAL INDUZIDA POR RADIOTERAPIA: UMA REVISÃO INTEGRATIVA
Authors: Nascimento Sidrayton Pereira do , Oliveira Victor Flávio de Oliveira e , Carvalho Karina Beatriz de Araújo , Ribeiro Dilmar de Sousa , Santos Cyllo Yago de Miranda Hamilton Cerqueira , Oliveira Victoria Higina de Oliveira e , Ferreira Bruno Eugênio de Oliveira , Araújo Sabrina Souza , Braga Filho Daniel da Silva , Lira Felipe Andrade , Furtado Alysson Erony de Carvalho , Roriz Diego Barbosa
Published: September 2023

Objetivo: identificar na literatura científica as características gerais e supracitar os efeitos da Mucosite Oral (MO) ligados sob a abordagem multiprofissional da terapia contra o cancêr bucal, analisando o desenvolvimento e suas gravidades. Método: revisão integrativa, cujos critérios de elegibilidade dos artigos foram: corresponder aos descritores: “Mucosite oral”, “Cavidade oral” e “Cancêr”, ser artigo de pesquisa; estar nos idioma português e inglês; estar disponível eletronicamente nas bases de dados BVS (Biblioteca Virtual em Saúde) e as fontes de dados Scientific Eletronic Library onLine (SciELO) e ano de publicação referente ao período de 2013 a 2023. Resultados: encontraram-se 10 publicações expressivas. A análise ocorreu mediante leituras analítica e interpretativa. A importância das intervenções educativas, inovações e tratamentos, afim de minimizar os impactos negativos advindos de mucosite oral que afetam a qualidade de vida nos seres humanos. Considerações finais: Destacaram-se os tratamentos com radioterapia como indicações positivas para pacientes acometidos pela MO.
BURNOUT E OS PROFESSORES EM MEIO A PANDEMIA DA COVID-19
Authors: Almeida Jociene Perciane Vieira de , Martins Julia Santos
Published: September 2023

O presente trabalho, a partir da problemática proposta, tem como objetivo geral analisar a Síndrome de Burnout e os seus efeitos nos docentes ativos em meio à pandemia da Covid-19 no Brasil, a qual tem enquanto sintomas: o esgotamento mental e físico, que acarreta disfunções cardíacas, depressão e transtornos de ansiedade. O trabalho se divide em tópicos como: analisar a profissão do professor e seus aspectos psicológicos, pois nota-se que os professores são submetidos, muitas vezes, a uma complexidade de demandas, diante disso, exige-se competências pedagógicas, habilidades emocionais e sociais; discutir sobre as dificuldades do professor em tempos de pandemia, ou seja, a alta demanda laboral, novas ferramentas de trabalho e a insuficiente formação; apontar os problemas causados pela pandemia aos educadores, à exemplo as condições como estresse, afastamento social e ansiedade; relatar sobre as características e os aspectos da Síndrome de Burnout, caracterizada por ser uma reação às tensões que são crônicas e geradas nas pessoas em contato com outros indivíduos, sendo manifestada fisiologicamente por fadiga constante, falta de apetite, distúrbio do sono e dores musculares, e psiquicamente por falta de atenção e memória; dialogar a respeito das formas de tratamento, sendo proposta a psicoterapia, medidas farmacológicas, intervenções psicossociais e afastamento do agente estressor e enquanto prevenção para o problema: promoção de energia no trabalho, funções em grupo e formação continuada. A presente pesquisa é de natureza aplicada.
Underwater measurements with UX robots; a new and available tool developed by UNEXUP
Authors: Zajzon Norbert , Topa Boglárka Anna , Papp Richárd Zoltán , Aaltonen Jussi , Almeida José Miguel , Almeida Carlos , Martins Alfredo , Bodó Balázs , Henley Stephen , Pinto Márcio Tameirão , Žibret Gorazd
Published: September 2023

Abstract. The UNEXMIN (Horizon 2020) and UNEXUP (EIT RawMaterials)
projects developed a novel technology to send robots and even autonomously
deliver optical images, 3D maps and other georeferenced scientific data from
flooded underground environments, like abandoned mines, caves or wells. The
concept turned into a market ready solution in seven years, where the last
few years of field trials of the development beautifully demonstrating the
technology's premier capabilities. Here in this paper, we focus on the wide
variety of environments, circumstances and measurements where the UNEXMIN
technology can be the best solution or the only solution to deliver certain
research or engineering data. These are obtained from both simple and
complex environments like different mines and caves, small and large
cavities, long and tight tunnels and shafts, different visibility
conditions, even different densities of the liquid medium where UX robots
operated.
OBTAINING APPROXIMATIONS FOR RANGE-BASED FREE-NETWORK ADJUSTMENT
Authors: Ladai A. , Toth C.
Published: September 2023

Abstract. Airborne and ground mobile mapping platforms are increasingly used in group formations to increase productivity or complement each other in terms of improving observation capacity and efficiency in the surveyed area. Similarly, the navigation of assisted and autonomous vehicles presents a similar problem of sharing a small place where, for example, accurate relative positioning is essential to avoid collisions. Estimating platform relative positions from inter-platform range measurements is important in these applications, as they can provide valuable information to improve individual platform navigation or can potentially detect anomalies in these solutions that could be caused by unintentional or intentional disturbances. Free-network adjustment based on ranges forms the baseline solution to obtain relative positions. The challenge is to provide adequate platform position approximations for the least squares adjustment to achieve both quick convergence and fast execution time. Here we propose a preprocessing method that creates suitable approximations based on range values.
ARTIFICIAL INTELLIGENCE FOR REAL-TIME MONITORING OF LOGS ON THE MADEIRA RIVER: A CASE STUDY ON JIRAU HYDROELECTRIC PLANT
Authors: Peixoto E. B. A. , Chiarani E. , Farias W. , Polli B. , Penteado R. , Freitas C. , Silva D. , Centeno J. A.
Published: September 2023

Abstract. The Jirau and Santo Antônio hydroelectric plants in Rondônia implemented a methodology using high-range cameras and artificial intelligence technology to address the challenge of managing logs transported by the river during floods. By applying machine learning techniques and neural networks, the system automatically monitors log transport and accumulation. Python 3, along with libraries like OpenCV, PIL, Numpy, and Pytorch, was utilized for efficient implementation. The methodology includes frame selection, log and debris segmentation, perspective correction, and log counting. Training was conducted using annotated images, and the detection process involved color segmentation, noise removal, and morphological operations. The calculated log and debris occupancy results were stored in a SQL database and presented on Power BI dashboards. The system aims to improve log management, ensuring power generation and ecological order are safeguarded.
MULTI-SATELLITE IMAGE ALIGNMENT OVER LARGE AREAS WITH FEATURELESS REGIONS
Authors: Roros C. J. , Deshmukh R. , Kak A. C.
Published: September 2023

Abstract. There is a great deal of interest in fusing together the information provided by different satellites for real-time change detection on the surface of the earth. For detecting important types of changes on the ground, it is necessary to inject geometry into the data provided by low-res satellites using multi-view imaging satellites that record each point on the ground from multiple perspectives. Combining these perspectives and generating a DSM (Digital Surface Model) gives us the geometry needed for a more meaningful analysis of satellite data. Before such an analysis can be carried out, it is necessary to align the images from all available satellites. Automatic image alignment, however, requires features on the ground that can be identified and correctly matched across different images using computer vision algorithms. While such features are common in urban areas, that is not always the case in predominantly rural areas that present a more-or-less uniform texture to the sensors. In this paper we present methods for automatic identification and alignment of featureless regions. Featureless regions are identified using point spread maps, which are a byproduct of DSM generation. The subsequent strategy for aligning featureless regions depends on the proportion of featureless regions to feature-rich regions. If most of the AOI (Area of Interest) is feature-rich, we ignore featureless regions when estimating inter-satellite image alignment parameters and apply those parameters to the entire AOI. Finally, we present a technique to propagate and fuse parameters from feature-rich regions to featureless regions.
COMPARATIVE ANALYSIS OF THE MCDA AND GFI METHODS IN DETERMINING FLOOD-PRONE AREAS IN JATINANGOR DISTRICT, SUMEDANG
Authors: Virtriana R. , Retnowati D. A. , Rohayani P. , Anggraini T. S. , Ihsan K. T. N. , Harto A. B. , Riqqi A.
Published: September 2023

Abstract. Flood is one of the natural disasters which has a high intensity in terms of occurrence. Despite the loss value in each event which is not as high as some natural disasters, such as earthquakes or tsunamis, the high occurrence of floods may cause high loss in total. Floods damage property and infrastructure, disrupt economic activity, displace people, harm communities, and degrade ecosystems. This study aims to compare the flood hazard model using Geomorphic Flood Index (GFI) and Multi-criteria Decision Analysis (MCDA). GFI is an established method which already used globally to identify the flood-prone area and the depth of the flood. The parameter needed to calculate GFI are the elevation, river network, and historical flood event. Meanwhile, the MCDA method tries to combine environmental, physical, and hydrographic factors, such as land use/land cover, precipitation, and runoff. The study area is Jatinangor District in Sumedang Regency which part of West Java Province, Indonesia. This location is chosen based on historical and potential flood events. Besides, Jatinangor District is the center of industry and commerce which Sumedang Regency is very dependent on. The finding of this study is expected to identify suitable methods for assessing flood hazards in Jatinangor or other areas with similar characteristics, between GFI and MCDA.
INFLUENCE OF LINEAR MIXING ON CONTAMINATED SNOW SPECTRAL SIGNATURES
Authors: Vivek B. , Garg P. K.
Published: September 2023

Abstract. Experiments using an SVC spectroradiometer ranging from 0.35 to 2.5 µm are being conducted in the field as part of the current research in order to gain a better understanding of how contamination affects spectral characteristics. Utilizing a spectroradiometer (0.35–2.5 µm), studies were carried out in the field to determine the linear mixing of snow pollutants (such as coal, ash, wood, and soil) with snow in terms of concentration of contaminants in order to simulate and comprehend the spectrum response of real-world scenarios. Present studies contribute to mapping snow and contaminated snow pixels in remote sensing RS data based on of linear mixing, and to identifying and discriminating between different types of snow contaminants in respect of linear mixing manner, via appropriate wavelength selections for future studies.
FOREST FIRE RISK MAPPING FOR THE HIMALAYAN STATE UTTARAKHAND USING GOOGLE EARTH ENGINE
Authors: Basu A. , Mamgain S. , Roy A.
Published: September 2023

Abstract. Climate change has exacerbated the intensity as well as frequency of forest fire events in the Indian state of Uttarakhand. The present study focusses on undertaking forest fire risk mapping across the state by utilizing geospatial technology along with Google Earth Engine. Ten parameters were identified that have a strong influence in determining fire prone areas. The Analytic Hierarchy Process (AHP) was then implemented for the development of the risk map in which criteria weights were assigned to the parameters based on their ability to influence a forest fire event. The analysis revealed that out of the total forest area, 24.22% is under ‘very high’ risk zone, 29.24% is under ‘high’ risk zone, 18.23% is under ‘moderate’ risk zone, 7.69% is under ‘low’ risk zone and 20.62% is under ‘very low’ risk zone of forest fire. Further study was carried out to determine fire risk levels in populated regions and in some of the most critical nature reserves having high ecological importance which reveals that ‘very high’ and ‘high’ risk zones have greater population density indicating the influence of anthropogenic activities on forest fire occurrence. The results additionally indicate that four national parks and wildlife sanctuaries are particularly vulnerable to forest fires at present which is a source of concern and requires intervention from the stakeholders.
DCTNET: HYBRID NETWORK MODEL FUSING WITH MULTISCALE DEFORMABLE CNN AND TRANSFORMER STRUCTURE FOR ROAD EXTRACTION FROM GAOFEN SATELLITE REMOTE SENSING IMAGE
Authors: Yuan Q.
Published: September 2023

Abstract. The urban road network detection and extraction have significant applications in many domains, such as intelligent transportation and navigation, urban planning, and automatic driving. Although manual annotation methods can provide accurate road network maps, their low efficiency with high-cost consumption are insufficient for the current tasks. Traditional methods based on spectral or geometric information rely on shallow features and often struggle with low semantic segmentation accuracy in complex remote sensing backgrounds. In recent years, deep convolutional neural networks (CNN) have provided robust feature representations to distinguish complex terrain objects. However, these CNNs ignore the fusion of global-local contexts and are often confused with other types of features, especially buildings. In addition, conventional convolution operations use a fixed template paradigm to aggregate local feature information. The road features present complex linear-shape geometric relationships, which brings some obstacles to feature construction. To address the above issues, we proposed a hybrid network structure that combines the advantages of CNN and transformer models. Specifically, a multiscale deformable convolution module has been developed to capture local road context information adaptively. The Transformer model is introduced into the encoder to enhance semantic information to build the global context. Meanwhile, the CNN features are fused with the transformer features. Finally, the model outputs a road extraction prediction map in high spatial resolution. Quantitative analysis and visual expression confirm that the proposed model can effectively and automatically extract road features from complex remote sensing backgrounds, outperforming state-of-the-art methods with IOU by 86.5% and OA by 97.4%.
AN ASSESSMENT OF POINT CLOUD DATA ACQUISITION TECHNIQUES FOR AGGREGATE STOCKPILES AND VOLUMETRIC SURVEYS
Authors: Davis D. J. A. , Guy N. S.
Published: September 2023

Abstract. Stockpiling aggregate materials is a common practice within the construction industry and with the demand for aggregates rapidly increasing, stockpile owners have taken a greater interest in the effective determination of volumes of inventory to optimize profit and limit waste. Historically, traditional stockpile measurement techniques were inaccurate but with the increase in demand, a higher quality and more reliable assessment of resources is necessary.The evolution of point cloud measurement and mapping technology, such as UAV and Terrestrial Laser Scanning (TLS), now means these techniques can be utilized for stockpile measurements. While some of the advantages over traditional techniques have been well documented, there is still a need to ascertain which of these methods is more applicable for volumetric surveys of different types of aggregate stockpiles.This study involved data collection and analysis from TLS and UAV photogrammetry for volumetric surveys and comparisons with Total Station (TS) measurement of the stockpiles for sharp sand, coarse (gravel) and finer aggregates.The research suggested that TS surveys could only be effectively utilized on sharp sand and coarse aggregates and was impractical for finer aggregates, and their results produced a general under-reporting of stockpile volumes. TLS and UAV provide non-contact collection with increased accuracy. There are differences in accuracy and appropriateness dependent on the aggregate type. It was observed that the TLS outperformed the TS approach whereas UAV demonstrated promise particularly at a lower altitude with greater overlap.Additional recommendations are shared to potentially improve productivity and inventory maintenance for Stockpiling Operations.
IMPROVING CAMERA POSE ESTIMATION USING SWARM PARTICLE ALGORITHMS
Authors: Elashry A. , Toth C.
Published: September 2023

Abstract. Most computer vision and photogrammetry applications rely on accurately estimating the camera pose, such as visual navigation, motion tracking, stereo photogrammetry, and structure from motion. The Essential matrix is a well-known model in computer vision that provides information about the relative orientation between two images, including the rotation and translation, for calibrated cameras with a known camera matrix. To estimate the Essential matrix, the camera calibration matrices, which include focal length and principal point location must be known, and the estimation process typically requires at least five matching points and the use of robust algorithms, such as RANSAC to fit a model to the data as a robust estimator. From the usually large number of matched points, choosing five points, the Essential matrix can be determined based on a simple solution, which could be good or bad. Obtaining a globally optimal and accurate camera pose estimation, however, requires additional steps, such as using evolutionary algorithms (EA) or swarm algorithms (SA), to prevent getting trapped in local optima by searching for solutions within a potentially huge solution space.This paper aims to introduce an improved method for estimating the Essential matrix using swarm particle algorithms that are known to efficiently solve complex problems. Various optimization techniques, including EAs and SAs, such as Particle Swarm Optimization (PSO), Gray Wolf Optimization (GWO), Improved Gray Wolf Optimization (IGWO), Genetic Algorithm (GA), Salp Swarm Algorithm (SSA) and Whale Optimization Algorithm (WOA), are explored to obtain the global minimum of the reprojection error for the five-point Essential matrix estimation based on using symmetric geometric error cost function. The experimental results on a dataset with known camera orientation demonstrate that the IGWO method has achieved the best score compared to other techniques and significantly speeds up the camera pose estimation for larger number of point pairs in contrast to traditional methods that use the collinearity equations in an iterative adjustment.
Assessing Online Doctoral Student Research Competencies
Authors: Gillham John , Schilling Nicole V.
Published: September 2023

The purpose of this study was to investigate online education doctoral students’ perceptions of their research competencies. The researchers utilized the Scholar-Practitioner Research Development Scale (Rockinson-Szapkiw, 2018) which consisted of 24 Likert-based items to assess research competency in five areas: attitude toward or value of research, critical evaluation and application of research, research knowledge, research skills, and research dissemination. For each of the five research competencies students reported their competency at 4.0 or above (on a scale of 1- 5) each year, with students most strongly agreeing with statements related to the value of research, evaluation and application skills, and research knowledge. This study illuminates the development of research competencies in online doctoral students. Recommendations include using the Scholar-Practitioner Research Scale to assess program effectiveness, track program improvements, and identify gaps in the curriculum.
Reflexivity for Restorying the Ontological and Epistemological Truths in Qualitative Research
Authors: Lee-Johnson Yin Lam , Fair Kerri , O'Connor Katherine , Rodney Tamara , Ono Jennifer , Dixon Trezette
Published: September 2023

This article serves to contextualize and problematize reflexivity as a construct for restorying the truths told by doctoral students in qualitative dissertation research. First, it gives an overview of Webster University’s EdD program and its inception of requiring qualitative research coursework for contextualizing the importance of qualitative framing in doctoral research. Then, the authors review and examine the definitions of reflexivity as a construct in qualitative research, the logic-of-inquiry required in dissertation research, the connections of reflexivity to the program ethos, global perspectives on worldview and knowledge construction, and the reframing of ontological and epistemological truths in the literature. The EdD Director and five doctoral candidates recount their positionality and intersectionality and contest the status quo framings of worldview and knowledge construction in educational research. Their resistance to the traditional ontological and epistemological truths and advocacy for restorying via reflexivity is a manifestation of their dedication to transforming the status quo ontology and epistemology in educational research.
Un colectivo juvenil en estado límite y una alternativa cooperativa silenciada: algo falla
Authors: Gallego Sánchez Antonio
Published: September 2023

No todas las posibilidades de trabajo decente están visibles, son accesibles y están disponibles para quien necesita satisfacer su carencia de empleabilidad, de ahí que este estudio propone contribuir a comprender y construir, desde una amplitud de miras y lógicas, las causas y razones (estructura de obstáculos) que explican la ausencia de visibilidad del emprendimiento cooperativo como una salida de empleabilidad sólida, validada y respaldada institucionalmente al problema del paro juvenil.
Speaking Anxiety in Secondary School ( A Case Study in Junior High School )
Authors: Saharani Putri Sazhikirani , Sahib Nurfaizah , Syam Ulfah
Published: September 2023

The aim of this study was to find out there was a factor that made students’ anxiety in speaking English after doing the research in VIII-8 class at SMPN 24Makassar in the 2022/2023 academic year. The approach of this study was qualitative descriptive research with using questionnaire public speaking class anxiety scale. Students’ speaking anxiety was filled by used questionnaire to electing the data. The writer took the eighth grade with 27 students from the population. The method of this study used purposive sampling technique to select a sample from the population. The results of data analysis showed that there was a factor that made students’ anxiety in speaking. The score obtained from factor of embarrassment was 225. In all factors it showed that the number of embarrassment was the highest. Factor of lack of preparation score was 55. It showed that in all factors the number of lack of preparation was lowest from the all factors. It means that factor embarrassment was the most factors that made students’ anxiety in speaking English at eighth grade students at SMPN 24 Makassar.
Penggunaan Sistem Poin Partisipasi untuk Kemampuan Berbicara Siswa pada Siswa Kelas Delapan SMPN 8 Makassar
Authors: Manyanyi Dini Savonarola , Manyanyi Dini Savonarola
Published: September 2023

ABSTRACT

This research aimed at finding out the students’ speaking ability before and after using participation point system method in teaching speaking. The independent variable was using participation point system method and the dependent variable was students’ speaking achievement. The sample of the research were 36 students of class VIII6 at SMPN 8 Makassar in the second semester academic year 2021/2022. The design of this research was quantitative design and the method used in this research was pre-experimental one group pretest-posttest research.The result of the research showed that there was a difference between pre-test and post-test score of the students. Theaverage score of pre-test was 48,78 and the average score of post-test was 86,11. Based on the result can be seen that after the researcher gave treatment in post-test was higher than pre-test. Therefore, participation point system becomes an appropriate method in teaching speaking of class VIII6 at SMPN 8 Makassar.

Key Words : Participation Point System, Speaking Ability
EFEKTIVITAS MODEL PEMBELAJARAN HEURISTIK VEE TERHADAP HASIL BELAJAR IPA PADA PESERTA DIDIK KELAS IX DI UPT SPF SMP NEGERI 35 KOTA MAKASSAR
Authors: Khafifah Nur , Hamid Sundari , Muriati St.
Published: September 2023

Penelitian ini dilakukan dengan tujuan untuk mengetahui efektivitas model pembelajaran  Heuristik Vee terhadap hasil belajar IPA pada peserta didik kelas IX di UPT SPF SMP Negeri 35  Kota Makassar. Jenis penelitian ini adalah penelitian eksperimen.  Desain penelitian yaitu Quasi Eksperimental Design, dengan menggunakan model Post-Test Only Control Design. Subjek penelitian ini adalah  peserta didik kelas IX.1 dan kelas IX.6 yang masing-masing berjumlah 30 peserta didik. Teknik  pengumpulan data yang digunakan dalam penelitian ini adalah observasi, tes hasil belajar, dan  dokumentasi. Hasil penelitian menunjukkan bahwa model pembelajaran Heuristik Vee dapat meningkatkan hasil belajar IPA pada peserta didik. Hal ini dibuktikan dari nilai rata-rata hasil belajar IPA menggunakan model pembelajaran Heuristik Vee sebesar 83,33. Model pembelajaran Heuristik Vee membuat peserta didik aktif dan merasa dilibatkan  dalam pembelajaran karena dalam proses pembelajaran Heuristik Vee peserta didik dilatih untuk  berpikir dengan menghubungkan pengetahuan yang dimiliki sebelumnya dengan pengetahuan  yang sedang dipelajari untuk menyelesaikan suatu masalah-masalah yang diberikan sehingga  melatih kemampuan hasil belajar IPA pada peserta didik.
PENGARUH MODEL PEMBELAJARAN ROLE PLAYING DALAM MENINGKATKAN HASIL BELAJAR SISWA UPT SPF SD INPRES LAE-LAE I KOTA MAKASSAR
Authors: Aura Idayu , Yunus Muhammad , Arsyad Susalti Nur
Published: September 2023

Penelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh model pembelajaran role playing dalam meningkatkan hasil belajar siswa UPT SPF SD Inpres Lae-Lae I Kota Makassar. Jenis penelitian ini adalah penelitian kuantitatif eksperimen dengan desain penelitian One Group Pretest-Posttest Design, yaitu memberikan tes sebelum adanya perlakuan, kemudian memberikan tes setelah adanya perlakuan dengan menggunakan model Role Playing. Sampel penelitian ini adalah siswa kelas V sebanyak 35 orang. Penelitian dilaksanakan sebanyak tiga kali pertemuan. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah wawancara, observasi, dokumentasi dan tes yang dianalisis dengan statistik deskriptif. Hasil penelitian ini menunjukkan bahwa ada pengaruh model pembelajaran role playing dalam meningkatkan hasil belajar siswa UPT SPF SD Inpres Lae-Lae I Kota Makassar. Hal ini dapat dilihat berdasarkan hasil analisis diperoleh rata-rata nilai sebelum diberi perlakuan role playing soal pretest rendah dan setelah diberi perlakuan role playing soal posttest meningkat. Dengan demikian dapat disimpulkan bahwa terdapat pengaruh model pembelajaran role playing dalam meningkatkan hasil belajar siswa UPT SPF SD Inpres Lae-Lae I Kota Makassar.
Pengaruh Penggunaan Media Animasi Terhadap Keterampilan Menyimak Pada Mata Pelajaran Bahasa Indonesia Siswa Kelas III Di UPT SPF SD Inpres Lanraki 2 Kota Makassar
Authors: Jamil Lismayani , Bakri Muhammad , Arsyad Susalti Nur
Published: September 2023

Penelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh media animasi terhadap keterampilan menyimak siswa pada mata pelajaran bahasa Indonesia. Jenis penelitian ini adalah penelitian eksperimen dengan desain penelitian Pre-Experimental One Group Pretest-Posttest, yaitu memberikan tes sebelum adanya perlakuan, kemudian memberikan tes setelah adanya perlakuan dengan menggunakan media animasi. Sampel dalam penelitian ini adalah siswa kelas III A sebanyak 29 orang. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah tes, observasi dan dokumentasi yang dianalisis dengan statistik deskriptif dan inferensial. Hasil penelitian menunjukkan bahwa ada pengaruh media animasi terhadap keterampilan menyimak siswa. Hal ini dapat dilihat berdasarkan hasil analisis bahwa nilai tHitumg  tTabel = 16,57 >  1,701 dan dapat disimpulkan bahwa terdapat pengaruh yang signifikan pada penggunaan media animasi terhadap keterampilan menyimak pada mata pelajaran bahasa Indonesia siswa kelas III di UPT SPF SD Inpres Lanraki 2 Kota Makassar.
Pengaruh Media Card Board Game Terhadap Hasil Belajar IPS Siswa SD Inpres Bertingkat Butung Kota Makassar
Authors: Reza Muh , Hamid Sundari , Arsyad Susalti Nur
Published: September 2023

Media card board game sebagai media pembelajaran yang dibuat dari cetakan gambar yang berfungsi sebagai alat dalam menambah wawasan dari materi yang telah dijelaskan, sehingga penelitian ini bertujuan untuk mengetahui pengaruh media card board game terhadap hasil belajar IPS yang di laksanakan di SD Inpres Bertingkat Butung Kota Makassar. Jenis penelitian ini adalah penelitian eksperimen dengan desain penelitian Pre-experimental One-Group Pretest-Posttest Design, yaitu memberikan tes sebelum adanya perlakuan, kemudian memberikan tes setelah adanya perlakuan dengan menggunakan media card board game. Sampel penelitian ini adalah siswa kelas IV sebanyak 15 orang. Teknik pengambilan sampel yaitu purposive sampling, yaitu teknik penentuan sampel dengan pertimbangan tertentu. Proses analisis data menggunakan rumus uji-t. Hasil penelitian menunjukkan bahwa media card board game berpengaruh secara signifikan terhadap hasil belajar IPS siswa SD Inpres Bertingkat Butung Kota Makassar. Hal ini dapat dilihat berdasarkan hasil belajar siswa yang mengalami peningkatan. Dengan demikian, dapat disimpulkan bahwa terdapat pengaruh media card board game terhadap hasil belajar IPS siswa SD Inpres Bertingkat Butung Kota Makassar.
Upaya Pembinaan Karakter Siswa pada Era Digital di UPT SPF SD Inpres Galangan Kapal IV Makassar
Authors: Halik Siti Wahyuni , Asdar Asdar , Hamsiah Andi
Published: September 2023

Perkembangan era digital berdampak pada segala bidang yang mengharuskan setiap elemen beradaptasi terhadap perubahan yang terjadi. Hal tersebut berdampak terhadap karakter.  Untuk mengatasi perubahan karakter, penelitian ini dilakukan dengan tujuan untuk mengetahui upaya pembinaan karakter siswa pada era digital di UPT SPF SD Inpres Galangan Kapal IV Makassar. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan kualitatif. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah Teknik Observasi, dokumentasi, dan wawancara. Data yang diperoleh akan diidentifikasi, kemudian diklasifikasi, dan di analisis dengan reduksi data, display data, dan kesimpulan/verifikasi. Hasil penelitian ini menunjukkan bahwa upaya pembinaan karakter siswa pada era digital, yaitu 1) membentuk dan mengembangkan karakter siswa melalui multimedia interaktif berbasis karakter, menekankan nilai karakter positif pada materi pembelajaran, pembentukan kedisiplinan, pembentukan ketakwaan, pembentukan sosial, pembentukan literasi, dan pengembangan melalui ekstrakurikuler. 2) penguatan dan perbaikan melalui pemberian pujian dan apresiasi dan sosialisasi penggunaan media digital bertanggung jawab. 3) penyaringan karakter melalui pemantauan aktivitas digital dan memperkenalkan budaya lokal.
Pengaruh Keaktifan Kegiatan Pramuka Terhadap Sikap Nasionalisme Siswa Di UPT SPF SD Inpres Galangan Kapal II Kota Makassar
Authors: Pasudi Constantia Ferini , Arsyad Susalti Nur , Irwandi Andi
Published: September 2023

Constantia Ferini Pasudi. 2023. Pengaruh Keaktifan Kegiatan Pramuka Terhadap Sikap Nasionalisme Siswa di UPT SPF SD Inpres Galangan Kapal II Kota Makassar. Skripsi Program Studi Pendidikan Guru Sekolah Dasar, Unniversitas Bosowa. Dibimbing oleh Susalti Nur Arsyad dan Andi Irwandi.

            Tujuan dari penelitian ini adalah untuk mengetahui pengaruh keaktifan kegiatan pramuka terhadap sikap nasionalisme siswa di UPT SPF SD Inpres Galangan Kapal II Kota Makassar. Jenis penelitian ini adalah regresi linear sederhana dengan pendekatan kuantitatif. Sampel penelitian ini adalah semua anggota pramuka yang aktif sebanyak 23 orang. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah menggunakan observasi, wawancara, angket dan dokumentasi yang dianalisis dengan teknik analisis regresi linear sederhana. Hasil penelitian menunjukkan bahwa kegiatan pramuka berpengaruh positif terhadap sikap nasionalisme siswa. Hal ini dapat dilihat berdasarkan hasil uji hipotesis yang diperoleh nilai thitung kurang dari ttabel sehinnga H0 ditolak dan H1 diterima. Berdasarkan hasil tersebut dapat disimpulkan bahwa terdapat pengaruh positif antara keaktifan kegiatan pramuka terhadap sikap nasionalisme siswa. Semakin siswa berperan aktif dalam kegiatan pramuka, maka sikap nasionalismenya pun semakin baik. Tetapi sikap nasionalisme juga dapat dipengaruhi oleh faktor internal dan eksternal diantaranya lingkungan kelas peran orang tua, lingkungan masyarakat, serta kesadaran dari dalam siswa itu sendiri.

Kata Kunci: Keaktifan Pramuka, Sikap Nasionalisme
EFEKTIVITAS MODEL PEMBELAJARAN INTERAKTIF TERHADAP MOTIVASI DAN HASIL BELAJAR PADA PEMBELAJARAN TEMATIK KELAS V SDN 290 INPRES KASISI’ KABUPATEN TANA TORAJA
Authors: Sanna Millenia Olvina , Asdam Muhammad , Lutfin Nursamsilis
Published: September 2023

Millenia Olvina Sanna, 2022. Efektivitas Model Pembelajaran Interaktif Terhadap Motivasi dan Hasil Belajar Pada Pembelajaran Tematik Kelas V SDN 290 Inpres Kasisi’ Kabupaten Tana Toraja. Skripsi Program Studi Pendidikan Guru Sekolah Dasar, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Bosowa. Dibimbing olehMuhammad Asdam. dan Nursamsilis Lutfin. Penelitian ini dilakukan dengan tujuan yaitu untuk mengetahui efektivitas pada motivasi dan hasil belajar model pembelajaran interaktif pada materi tematik siswa kelas V SDN 290 Inpres Kasisi’. Jenis penelitian yang digunakan untuk penelitian ini adalah penelitian Eksperimen, yang akandigunakan dalam penelitian ini adalah desain pre- eksperimental dengan jenis satu kelompok one-grouppretest-posttest. Adapun Populasi pada penelitian ini yaitu seluruh siswa SDN 290 Inpres Kasisi’  Tahun Ajaran 2021/2022 dan Sampel yang digunakan dalam penelitian ini yaitu semua siswa kelas V SDN 290 Inpes Kasisi’ yang berjumlah 21 orang (eksperimen). Teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi, angket (kuisoner), tes, dan dokumentasi. Hasil dari penelitian ini menunjukan bahwa penggunaan model pembelajaran interaktif sangat efektif digunakan untuk meningkatkan motivasi dan hasil belajar peserta didik pada pembelajaran tematik. Penggunaan model pembelajaran interaktif membuat peserta didik termotivasi dalam belajar membuat peserta didik lebih aktif dan bersemangat dalam proses pembelajaran, sehingga hasil belajar yang baik dapat diraih oleh semua peserta didik.