Application of augmented reality in automotive industry

EAI Endorsed Transactions on Internet of Things, Год журнала: 2024, Номер 10

Опубликована: Фев. 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.

Язык: Английский

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Assessment of the level of knowledge on artificial intelligence in a sample of university professors: A descriptive study

Data & Metadata, Год журнала: 2024, Номер 3, С. 285 - 285

Опубликована: Янв. 1, 2024

Introduction: The knowledge of artificial intelligence (AI) by university professors provides them with the ability to effectively integrate these innovative technological tools, resulting in a significant improvement quality teaching and learning process.Objective: To assess level about AI sample Peruvian professors.Methods: Quantitative study, non-experimental design descriptive cross-sectional type. consisted 55 both sexes who were administered questionnaire their AI, which had adequate metric properties.Results: was low for 41.8% professors, regular 40%, high 18.2%. This indicates that there is gap its application education, could limit fully leverage tools applications educational environment affect effectiveness teaching. Likewise, it determined age self-perception digital competencies significantly associated (p<0.05).Conclusions: are characterized presenting AI. Therefore, recommended implement training professional development programs focused on intelligence, order update improve skills this field

Язык: Английский

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

Data & Metadata, Год журнала: 2024, Номер 3, С. 321 - 321

Опубликована: Май 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

Язык: Английский

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Interaction between neuroscience and happiness: assessment from Artificial Intelligence advances

EAI Endorsed Transactions on Pervasive Health and Technology, Год журнала: 2024, Номер 10

Опубликована: Март 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

Язык: Английский

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Investigating the attitude of university students towards the use of ChatGPT as a learning resource

Data & Metadata, Год журнала: 2024, Номер 3, С. 268 - 268

Опубликована: Янв. 1, 2024

Introduction: currently, the integration of innovative technologies plays a crucial role in students' academic formation. In this context, ChatGPT emerges as cutting-edge tool with potential to transform educational experience.Objective: assess attitude university students towards use learning resource.Methods: quantitative study, non-experimental design and observational descriptive type. The sample was determined through simple random sampling consisted 269 both genders who were administered Attitudes Use Scale, an instrument adequate metric properties.Results: resource predominantly rated at medium level, affective, cognitive, behavioral dimensions. This suggests that enjoy using their process consider it facilitates improves experience. However, they expressed concern about possibility generating inaccurate results.Conclusions: level. Likewise, progressed training, developed more favorable

Язык: Английский

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Assessment the mental health of university students in the Peruvian Amazon: A cross-sectional study

Salud Ciencia y Tecnología, Год журнала: 2024, Номер 4, С. 879 - 879

Опубликована: Апрель 25, 2024

Introduction: the mental health of university students is a growing concern worldwide, as these young individuals face series emotional and psychological challenges during their transition to life. Academic pressure, social demands, adaptation new environment can affect well-being.Objective: assess depression, anxiety, stress in from two universities providing educational services city Puerto Maldonado, Peru.Methods: quantitative study, non-experimental design, analytical type. The sample consisted 307 both genders who were administered Depression, Anxiety, Stress Scale, an instrument with adequate psychometric properties.Results: 42,7 % showed symptoms 52,4 experienced 28,7 suffered stress. High, direct, significant correlations also reported between depression anxiety (rho= 0,757; p<0,05), 0,726; 0,811; p<0,05). Additionally, statistically association was found students' age, well gender (p<0,05).Conclusions: it concluded that Peru, presented Therefore, suggested implement early detection programs support address issues

Язык: Английский

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

Salud Ciencia y Tecnología - Serie de Conferencias, Год журнала: 2024, Номер 3, С. 649 - 649

Опубликована: Март 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

Язык: Английский

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Consumption of processed and ultra-processed foods by a young population of Ecuador. An analysis in light of the PAHO model

Salud Ciencia y Tecnología, Год журнала: 2024, Номер 4, С. 875 - 875

Опубликована: Янв. 1, 2024

The purpose of the research was to characterize habitual consumption processed and ultra-processed foods, as well analyze their nutritional composition in relation Nutrient Model proposed by Pan American Health Organization (PAHO). 2 125 young people participated, with prior informed consent; A food frequency questionnaire applied each participant (=0,784), including 75 foods beverages classified into 13 categories. On other hand, labels 89 brands products purchased respondents were reviewed; analysis included presence critical nutrients calculation percentage energy contribution. results revealed that 95 % population last month: desserts (99,1 %); candy (95,1 %), non-alcoholic (84,8 among others, a significant difference gender, area residence, economic income (P<0,050). amounts sodium, free sugars, total fats, saturated trans fats exceed what is indicated PAHO Model, 69,0 %, 54,0 35,0 23,0 15,0 respectively. daily contribution per serving 10,3 ±3,1 this comes mainly from pre-cooked dishes (soups, broths, creams, instant noodles), 13,6 %; (soft drinks, juices, soft beer, juices nectars) 13,1; french fries, 12,5 sausages, 12,4 pastries, snacks, 10,5 %. Concluding there high prevalence levels recommendations. These findings highlight need strengthen policies aimed at reducing supply demand these

Язык: Английский

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

Salud Ciencia y Tecnología, Год журнала: 2023, Номер 3, С. 887 - 887

Опубликована: Дек. 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

Язык: Английский

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Key players in renewable energy and artificial intelligence research

EAI Endorsed Transactions on Energy Web, Год журнала: 2024, Номер 11

Опубликована: Фев. 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.

Язык: Английский

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