Mechanical characterization of materials using advanced microscopy techniques

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(3), P. 274 - 283

Published: March 6, 2024

This review explores the synergistic relationship between advanced microscopy techniques and mechanical engineering, outlining their profound impact on materials science system design. We delve into multifaceted applications of electron microscopy, X-ray diffraction, spectroscopic methods in understanding microstructural dynamics, properties, failure mechanisms integral to engineering. Through a comprehensive synthesis recent research, we emphasize pivotal role these play optimizing material performance, bolstering structural integrity, driving innovation By elucidating intricate details behavior at microscale, contributes informed decision-making selection design processes. Furthermore, address emerging trends prospects, underscoring continued synergy collaboration remains forefront technology, promising ongoing advancements that will shape future landscape innovation.

Language: Английский

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Exploratory approaches for improved cost effectiveness and profitability: Utilizing mathematical analysis and value stream mapping on production floors

World Journal of Advanced Engineering Technology and Sciences, Journal Year: 2024, Volume and Issue: 11(1), P. 076 - 085

Published: Jan. 30, 2024

This paper focuses on the application of Value Stream Mapping (VSM) within context electronics manufacturing industry, aiming to improve its operational efficiency and financial performance. The study thoroughly analyzes costs, integrating VSM justify economic benefits. Data was collected directly from floor create a current state map, enabling identification non-value-added activities sources waste. Areas for potential improvement were pinpointed reduce or eliminate these inefficiencies. By implementing proposed enhancements, outlines future map process presents results applying Mapping. Comparing maps, reveals that embracing Lean principles, in conjunction with Mapping, can significantly benefit industry. Specifically, it production lead times by 67.84% decrease costs 8.69%. research underscores implications adopting illustrating combining principles VSM, industries offer rapid customer responses at lower crucial factor improving competitive performance existing market landscape.

Language: Английский

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Enhancing Operations Quality Improvement through Advanced Data Analytics

Journal of Computer Science Engineering and Software Testing, Journal Year: 2024, Volume and Issue: 10(1), P. 1 - 14

Published: Jan. 1, 2024

This study focuses on the application of data analytics algorithms for real-time monitoring in additive manufacturing processes. The utilization advanced plays a pivotal role enhancing quality control and efficiency these techniques. research explores how data-driven insights can be harnessed to identify, analyze, rectify deviations process, ensuring optimal performance product quality. By integrating sophisticated algorithms, aims create robust framework that continuously analyzes various parameters during manufacturing. includes factors such as temperature, pressure, material properties real-time. collected is processed through tools detect anomalies or from expected standards. implementation machine learning further facilitates predictive maintenance proactive adjustments, contributing overall reliability effectiveness outcomes this hold significant implications industries relying technologies, providing foundation improved process contributes growing field Industry 4.0 by showcasing integration key enabler efficient reliable

Language: Английский

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Advanced analytics for predicting traffic collision severity assessment

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(2), P. 2007 - 2018

Published: Feb. 28, 2024

Accurate prediction of accident risks plays a crucial role in proactively implementing safety measures and allocating resources effectively. This paper introduces an innovative approach aimed at improving risk by harnessing unique data sources extracting insights from diverse yet sparse datasets. Traditional models often face limitations due to lack diversity scope the available data, which hinders their predictive capabilities. In response this challenge, our study integrates broad spectrum heterogeneous encompassing traffic flow, weather conditions, road infrastructure details, historical records. To overcome difficulties associated with we employ advanced science techniques such as feature engineering, imputation, machine learning. The novel dataset that amalgamates various types, establishing robust foundation for model. Through meticulous analysis, derive valuable these sources, significantly enhancing ability assess risks. proposed offers numerous advantages, including capacity predict accidents areas were previously underrepresented under varying conditions. We rigorously evaluate model's performance through extensive experimentation validate its accuracy using real-world data. Our results indicate substantial improvements compared conventional models. research contributes field highlighting potential benefits integrating leveraging techniques. underscores importance tapping into concealed patterns promote optimize resource allocation accident-prone regions, fostering more secure environments.

Language: Английский

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Deployment of Advanced and Intelligent Logistics Vehicles with Enhanced Tracking and Security Features

Published: Feb. 9, 2024

This study focuses on the implementation of modern and intelligent logistics vehicles equipped with advanced tracking security features. In response to evolving landscape management, proposed system integrates cutting-edge technologies enhance efficiency ensure entire process. The core component this is incorporation state-of-the-art mechanisms, enabling real-time monitoring vehicle locations movements. Furthermore, addresses paramount concern by introducing measures. Through utilization sophisticated protocols, aim safeguard both customer provider data. includes integration QR code concepts, creating a binary image that conceals sensitive information ensures access only authorized users. addition security, delves into realm mining, employing techniques such as classification, clustering, recommendation extract meaningful patterns from vast datasets. Collaborative filtering are incorporated experience recommending services based user preferences historical abstract encapsulates comprehensive approach deploying vehicles, emphasizing their intelligence through tracking, robust measures, data-driven insights. aims revolutionize providing seamless secure for customers service providers in dynamic landscape.

Language: Английский

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Unveiling spatial insights: navigating the parameters of dynamic Geographic Information Systems (GIS) analysis

International Journal of Science and Research Archive, Journal Year: 2024, Volume and Issue: 11(2), P. 1976 - 1985

Published: April 30, 2024

In today's rapidly evolving landscape of Geographic Information Systems (GIS), understanding the intricate parameters that govern GIS analysis is paramount. This title encapsulates essence delving into multifaceted dimensions GIS, where a myriad factors converges to shape process and outcomes spatial analysis. From selection input data layers fine-tuning analytical techniques model parameters, every step in governed by set influence accuracy, reliability, relevance results. The beckons researchers, practitioners, enthusiasts alike embark on journey exploration, unraveling complexities its underlying parameters. It speaks dynamic nature interplay data, computational algorithms, user-defined creates rich tapestry insights discoveries. Whether mapping urban growth patterns, assessing natural resource availability, or modeling environmental change, essential for unlocking full potential informing decision-making processes. Moreover, hints at transformative power as tool addressing complex phenomena. By scrutinizing analysis, researchers can gain deeper processes driving patterns trends. They identify optimal parameter settings, refine workflows, enhance accuracy precision models predictions. essence, "Exploring Parameters: Understanding Dynamics Analysis" field, exploration serves gateway harnessing geography address real-world challenges opportunities.

Language: Английский

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The Future of Distance Learning: Streamlined Labs in Virtual Education

Published: March 5, 2024

Contemporary technologies afford us the opportunity to augment and substitute traditional in-person classes with computer-based resources commonly known as virtual labs. Before global pandemic, physical classrooms offered a hands-on learning environment for students. However, pandemic has rendered labs impractical, making it challenging students engage faculty members directly. In present scenario, preference remote education surged due safety concerns. With proper internet access, now have flexibility conduct experiments from comfort of their homes. Despite inherent challenges associated online learning, serve valuable solution, addressing some these issues. The utilization simulation-based especially in subjects like physics, chemistry, biology, contributes significantly students' comprehension key concepts. Virtual play pivotal role fostering problem-solving skills, critical thinking, creativity, imagination, understanding scientific processes, laboratory well heightened interest perception. Consequently, becomes imperative educators integrate into teaching methodologies enhance quality instruction improve outcomes.

Language: Английский

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ANALISIS POLA PERUBAHAN LAHAN SAWAH MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (STUDI KASUS: KELURAHAN MAKROMAN, SAMARINDA)

Jurnal Tanah dan Sumberdaya Lahan, Journal Year: 2024, Volume and Issue: 11(2), P. 309 - 317

Published: July 1, 2024

Changes in rice fields are an important phenomenon that affects the sustainability of agriculture and environment. This study aims to analyze pattern changes Makroman Village, using a Geographic Information System (GIS) approach. The method used is spatial analysis which involves such as data creation, conversion, clustering, mathematical calculation data. this include Ikonos Satellite Images Village 2011 UAV Aerial Photos 2019. results showed area increased from 96.196 ha 129.343 2011-2019. Spatially, increase occurred due presence new existing did not decrease number. Shrubs become land uses have potential be converted field extensification activities. GIS application can answer problems level detail, but some things need considered quality data, especially remote sensing used.

Language: Английский

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Implications for conservation zoning in Teiči Strict Nature Reserve due to land use and cover change

Frontiers in Remote Sensing, Journal Year: 2024, Volume and Issue: 5

Published: Nov. 28, 2024

This study investigates land use and cover changes in the Teiči Strict Nature Reserve, Latvia, from 1982 to 2023 models potential future based on four legislative scenarios extending 2064. The research aims assess effectiveness of existing conservation zoning relation historical projected cover, addressing ongoing debate between fixed adaptable strategies. employs remote sensing imagery, geographical information system data, modeling methods analyze predict trends. results suggest substantial over past decades, including intensified urbanization, agricultural expansion, a decline peat bogs forested areas. Scenario projections indicate that continued could further challenge efficiency current strategies, with varying outcomes depending measures climate change impacts. concludes adaptive management variable are necessary address these dynamic preserve reserve’s ecological integrity. emphasize importance integrating predictive into planning improve flexibility sustainability protected

Language: Английский

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Journal of IoT and Machine Learning

Journal of IoT and Machine Learning., Journal Year: 2023, Volume and Issue: unknown

Published: June 17, 2023

This study focuses on the implementation of modern and intelligent logistics vehicles equipped with advanced tracking security features. In response to evolving landscape management, proposed system integrates cutting edge technologies enhance efficiency ensure entire process. The core component this is incorporation state-of-the art mechanisms, enabling real-time monitoring vehicle locations movements. Furthermore, addresses paramount concern by introducing measures. Through utilization sophisticated protocols, aim safeguard both customer provider data. includes integration QR code concepts, creating a binary image that conceals sensitive information ensures access only authorized users. addition security, delves into realm mining, employing techniques such as classification, clustering, recommendation extract meaningful patterns from vast datasets. Collaborative filtering are incorporated experience recommending services based user preferences historical abstract encapsulates comprehensive approach deploying vehicles, emphasizing their intelligence through tracking, robust measures, data-driven insights. aims revolutionize providing seamless secure for customers service providers in dynamic landscape.

Language: Английский

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