Application of augmented reality in automotive industry

EAI Endorsed Transactions on Internet of Things, Journal Year: 2024, Volume and Issue: 10

Published: Feb. 27, 2024

Introduction: Augmented reality is defined as a direct or indirect vision of physically real environment, parts which they are enriched with additional digital information relevant to the object that being looked at. In field engineering design, there wide range industries use this technology, such automotive, aircraft manufacturing, electronics, engineering; so it has gained popularity in assembly, maintenance and inspection tasks. The objective was characterize augmented automotive industry.Methods: total 20 articles Spanish English were reviewed, from Scopus, Science Dialnet; Using keywords: reality, industry, more than 50 % last five years.Result: its main advantage considered potential an interactive intuitive interface. It promises provide correct human operator at right time place. If ideal environment RA applied safely, adequate balance between automated processes control over them; level production quality will be positively affected.Conclusions: areas industry logistics maintenance, evaluation, diagnosis, repair, inspection, control, instruction marketing; order guarantee better work performance, productivity efficiency, mainly mediated by portable devices. Its degree acceptance, although growing, not yet clear.

Language: Английский

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Interaction between neuroscience and happiness: assessment from Artificial Intelligence advances

EAI Endorsed Transactions on Pervasive Health and Technology, Journal Year: 2024, Volume and Issue: 10

Published: March 18, 2024

INTRODUCTION: In recent years, there has been a convergence between Artificial Intelligence and neuroscience, particularly in studying the brain developing treatments for neurological disorders. neural networks deep learning provide valuable insights into processing functioning. Recent research tries to explain how processes influence an individual's happiness. OBJECTIVES: To evaluate interaction neuroscience happiness based on advances Intelligence. METHODS: A bibliometric analysis was performed with articles from Scopus database 2013-2023; likewise, VOSviewer used information processing. RESULTS total of 603 were obtained, it is evident that most significant scientific production centered United States (184), Kingdom (74), China (73). Three clusters are generated Co-occurrence - Author Keywords analysis. The first cluster, red, related applications predicting happiness; second green, associated tools neuroscience; third blue, psychology. CONCLUSION: Neuroscience made leaps understanding mental such as emotions consciousness. encountered opening up approach seeks evidence understand people's well-being supported by

Language: Английский

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Bibliometric analysis of the main applications of digital technologies to business management

Data & Metadata, Journal Year: 2024, Volume and Issue: 3, P. 321 - 321

Published: May 9, 2024

In today's digital age, information technologies have revolutionized how companies manage their business operations and strategies. The application of these in management has demonstrated significant impacts various sectors. main objective was to analyze the scientific production related applications management. research paradigm mixed through developing a bibliometric study thematic analysis relevant sources. SCOPUS database used during period 2000 – 2024. A total 85 investigations were obtained. behavior behaved heterogeneously while starting 2019; it experienced notable growth with maximum peak 2023 24 investigations. corroborated importance transformation for critical role played by designed introduction technologies. findings allow us affirm that is heterogeneous field, influenced disciplines process consolidation, due range potentialities offers

Language: Английский

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Workplace Violence and Emotional Intelligence among Nursing Professionals at a National Hospital in Northern Peru

Salud Ciencia y Tecnología, Journal Year: 2023, Volume and Issue: 3, P. 887 - 887

Published: Dec. 31, 2023

Introduction: Workplace violence is identified as a growing challenge in the healthcare sector, negatively impacting both nursing professionals and quality of patient care. In this context, emotional intelligence emerges key tool for mitigating effects workplace violence, facilitating effective stress management, enhancing interpersonal relationships workplace. Method: The study employed quantitative, correlational, cross-sectional design. sample consisted 183 nurses from National Hospital Chiclayo, Peru, selected through probabilistic sampling. Two instruments were used: EVP-health questionnaire to assess TMMS-24 scale measure intelligence. Results: Findings indicate that 45,3 % respondents experienced high level while 61,8 showed low Additionally, negative correlation between was found, demonstrating levels are associated with Conclusions: concludes could be crucial reducing settings. implementation training programs staff suggested, not only improve work environment but also enhance care provided patients. research highlights need address these aspects promote safer more efficient sector

Language: Английский

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An efficient fake news classification model based on ensemble deep learning techniques

Salud Ciencia y Tecnología - Serie de Conferencias, Journal Year: 2024, Volume and Issue: 3, P. 649 - 649

Published: March 10, 2024

The availability and expansion of social media has made it difficult to distinguish between fake real news. Information falsification exponentially increased as a result how simple is spread information through sharing. Social dependability also under jeopardy due the extensive dissemination false information. Therefore, become research problem automatically validate information, specifically source, content, publisher, identify true or false. Despite its limitations, machine learning (ML) been crucial in categorization Previous studies suggested three-step methods for categorising on media. In first step process, data set subjected number pre-processing processes order transform unstructured sets into structured sets. unknowable properties news features are extracted by Lexicon Model second stage. third stage this project, feature selection method WOA (Whale Optimization Algorithm) weight value tune classification part. Finally, Hybrid Classification model that hybrid with fuzzy based Convolutional Neural Network kernel support vector constructed pertaining bogus However using single classifier detection produces insufficient accuracy. To overcome issue work introduced an improved classification. turn sets, variety operations used initial phase procedure. COA (Coati ensemble RNN (Recurrent Networks), VGG-16 ResNet50.A was developed recognise Evaluate each analysis' performance terms accuracy, precision, recall, F1 score. model, out all methodologies taken consideration study, provides highest outcomes, according experimental findings

Language: Английский

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Deep Learning Enabled Whale Optimization Algorithm for Accurate Prediction of RA Disease

Salud Ciencia y Tecnología - Serie de Conferencias, Journal Year: 2024, Volume and Issue: 3, P. 652 - 652

Published: March 11, 2024

Whale Optimization Algorithm (WOA) is an optimization technique and based on food foraging behavior of whales. It has been applied in many domain including processing images, framework controls, ML (machine learning). WOA assists choosing the right parameters required for Deep Neural Networks. This work uses DNN to examine metacarpophalangeal (MCP) rheumatoid joint discomforts patients from diagnostic medical images X-rays or Magnetic Resource images. The use enhances resultant outcomes as it searched optimal solutions within search spaces, instead getting trapped local minima found by gradient descent. combination grading MCP arthritis can provide efficient accurate solution practitioners researchers

Language: Английский

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Key players in renewable energy and artificial intelligence research

EAI Endorsed Transactions on Energy Web, Journal Year: 2024, Volume and Issue: 11

Published: Feb. 22, 2024

INTRODUCTION: As countries work on the transition towards renewable energies that comply with 2030 Agenda and sustainable development goals, Artificial Intelligence is presented as a tool being adopted to promote generation of such solar or wind power. , given support it offers automation, assisted decisions, production efficiency. OBJECTIVES: To analyze key players in energy artificial intelligence research. METHODS: The Scopus database used obtain scientific articles for period 2013-2023, Visualization Similarities program (VOSviewer 1.6.18) data processing analysis. RESULTS: An analysis 822 shows highest are China (148), India (136) United States (81). In this regard, clear there significant collaboration between countries. With regard Co-occurrence - Author Keywords, three clusters generated. first cluster, identified color red, related management; second green, innovation; third blue, models. CONCLUSION: Researchers facing new challenges every day respond irruption use algorithms energies, range available tools deep learning neural networks. Research results have revealed recent years, has understood AI not trend but rather challenge society, industry, countries, education order achieve development.

Language: Английский

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Relationship between workload and psychological capital in a sample of Peruvian basic education teachers

Salud Ciencia y Tecnología, Journal Year: 2024, Volume and Issue: 4, P. 864 - 864

Published: Jan. 1, 2024

Introduction: In the educational context, workload entails various responsibilities, from planning and conducting classes to participating in extracurricular activities. This array of tasks can affect teachers, both their performance physical mental well-being.Objective: To determine if is related psychological capital Peruvian basic education teachers.Methods: A quantitative, non-experimental, cross-sectional correlational study was conducted. The sample consisted 183 teachers who were administered Workload Scale Psychological Capital Questionnaire, instruments with adequate metric properties.Results: Preliminarily, it determined that 39.3% perceived be high. Similarly, 52.5% also rated as Additionally, a correlation coefficient -0.539 (p<0.05) found between variables.Conclusions: There an inverse significant relationship elementary school teachers. Therefore, recommended authorities establish institutional policies promote balanced workload-resource ratio for may include allocation resources materials, well review assessment work practices. Furthermore, implementing support programs, time management, stress management suggested ensure teachers' well-being

Language: Английский

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Climate change: an approach on proposals of actions that emphasize social and economic justice, and environmental sustainability

Salud Ciencia y Tecnología - Serie de Conferencias, Journal Year: 2024, Volume and Issue: 3, P. 683 - 683

Published: Jan. 1, 2024

Demands on planetary resources have skyrocketed consistently over the past two centuries, indicating ecological excess and pointing to their finite nature. This scenario represents a great challenge since updated literature shows that, as trend, there is lack of political will phenomena such social denial. As result, it was necessary achieve critical examination regarding actions that support climate change awareness from sustainable approach. A narrative review relevant sources carried out, main results which point fact income participation variable 1820 concentrated at 10 percent in richest classes, who received 50 all income. Furthermore, could be seen addressing change, process, subject study its causes transformation ecosystem more practices oriented towards human non-human well-being. The allowed us conclude this purpose, innovative capabilities must promoted promote technological entrepreneurship through innovation development alternatives

Language: Английский

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Status of high-impact scientific publication in nursing in Latin America

EAI Endorsed Transactions on Pervasive Health and Technology, Journal Year: 2024, Volume and Issue: 10

Published: April 23, 2024

INTRODUCTION: The aim of this study was to analyze the situation high-impact scientific publication in nursing Latin America between 2003 and 2024 OBJECTIVES: Determine Status publishing nursing. METHODS: method quantified productivity using bibliometric data. RESULTS: A total 298 Scopus documents were selected for based on relevance English keywords (scientific AND publishing, nursing). largest substantial growth production occurred 2019 2023 (n=112; 37.6%), with Brazil as most prominent country (n=250 publications; 83.9%). source Revista Brasileira de Enfermagem presented 33 publications, Marziale, M.H.P. cited author (103 citations; 4 papers). Most these papers (85%) area (61%) medicine (20%). It is concluded that thematic diversity, authorship, sources resources have increased, respect high impact America, which allows a broader characterization region according its impacts, visibility importance. CONCLUSION: Thus, analysis provides framework future research documenting key support aspires transform American society into more just, free healthy state.

Language: Английский

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