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International Conference on Innovations in Pharmaceutical and Critical Care Diagnostics (IC-IPCCD)

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Articles

Exploring Biocompatibility and Electrical Stimulation of Skeletal and Smooth Muscle Cells via Piezoelectric Nanogenerators: Investigating Cellular Responses and Applications

Andreu Blanquer, Oriol Careta, Laura Anido-Varela, Aida Aranda, Elena Ibáñez, Jaume Esteve, Carme Nogués and Gonzalo Murillo

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract investigates the biocompatibility and electrical stimulation effects of skeletal and smooth muscle cells cultured on piezoelectric nanogenerators (PENGs). PENGs offer a unique platform for generating electrical stimulation through mechanical energy conversion, making them promising candidates for biomedical applications. This study explores the interaction between skeletal and smooth muscle cells and PENGs, assessing cell viability, proliferation, and functionality in response to electrical stimulation. Through a combination of experimental analysis and cellular assays, the research elucidates the biocompatibility of PENGs and their potential to electrically stimulate muscle cells. The findings provide valuable insights into the use of PENGs as biomedical devices for tissue engineering, regenerative medicine, and bioelectronic applications. Ultimately, this abstract contributes to advancing the understanding of the interplay between piezoelectric nanogenerators and muscle cells, paving the way for innovative approaches in biomedical research and healthcare technology.

Information Conversion in Measurement Channels Using Optoelectronic Sensors

Vasyl V. Kukharchuk, Sergii V. Pavlov, Volodymyr S. Holodiuk, Valery E. Kryvonosov, Krzysztof Skorupski, Assel Mussabekova and Gaini Karnakova

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract investigates the process of information conversion within measurement channels utilizing optoelectronic sensors. Optoelectronic sensors play a crucial role in various measurement applications, offering advantages such as high sensitivity and fast response times. This study focuses on understanding how information is converted within measurement channels equipped with optoelectronic sensors, considering factors such as signal processing, data transmission, and system integration. Through theoretical analysis and practical experiments, the research explores the mechanisms by which optoelectronic sensors capture and convert physical parameters into measurable signals. Additionally, the study examines the impact of various factors, such as environmental conditions and sensor characteristics, on the accuracy and reliability of information conversion. The findings provide valuable insights into optimizing the performance of measurement channels with optoelectronic sensors, ultimately contributing to advancements in sensing technology and data acquisition systems.

Advancing Additive Manufacturing: Exploring an Autonomous Feature-Based Freeform Fabrication Approach Utilizing Robotics

Xinyi Xiao andHanbin Xiao

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract presents an innovative approach to freeform fabrication utilizing autonomous robotics and feature-based techniques. Freeform fabrication, characterized by its flexibility and versatility in creating complex geometries, holds significant potential in various industries, including manufacturing and construction. This study introduces a novel methodology that combines autonomous robotics with feature-based design principles to streamline the freeform fabrication process. Through a combination of theoretical analysis and practical demonstrations, the research explores how autonomous robots can interpret design features and autonomously fabricate structures with intricate geometries. Additionally, the study investigates the efficiency, accuracy, and scalability of the proposed approach compared to traditional fabrication methods. The findings highlight the potential of autonomous robotic feature-based freeform fabrication as a disruptive technology for achieving cost-effective and customizable manufacturing solutions. Ultimately, this abstract contributes to advancing the field of freeform fabrication and robotics, paving the way for innovative applications in various industries.

Comparative Analysis of Machine Learning Methods for Predicting Force in Robotized Incremental Metal Sheet Forming

Vytautas Ostasevicius, Ieva Paleviciute, Agne Paulauskaite-Taraseviciene, Vytautas Jurenas, Darius Eidukynas and Laura Kizauskiene

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract presents a comparative analysis of machine learning methods for predicting force in robotized incremental metal sheet forming processes. Robotized incremental forming (RIF) is a versatile manufacturing technique used to produce complex shapes from sheet metal. However, accurately predicting the forming force is crucial for process optimization and product quality assurance. This study investigates various machine learning algorithms, including regression and ensemble methods, to predict the forming force in RIF. Through extensive experimentation and analysis, the research evaluates the performance of these methods in terms of prediction accuracy and computational efficiency. The findings provide valuable insights into the strengths and limitations of different machine learning approaches for predicting force in RIF, facilitating informed decision-making in process optimization and control. Ultimately, this abstract contributes to advancing the understanding of machine learning applications in metal forming processes and lays the groundwork for more efficient and reliable manufacturing practices.

Enhancing Human-Robot Collaboration in Collaborative Workplace Design: A Knowledge-Based Approach to Multi-Objective Layout Optimization

Andrea Rega, Castrese Di Marino, Agnese Pasquariello, Ferdinando Vitolo, Stanislao Patalano, Alessandro Zanella and Antonio Lanzotti

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract delves into a knowledge-based approach aimed at optimizing collaborative workplace design to facilitate enhanced human-robot collaboration. With the integration of advanced technologies and robotics in modern workplaces, there is a growing need to optimize layout designs for efficient collaboration between humans and robots. This paper presents a knowledge-based methodology that leverages insights from both human factors and robotics to optimize workplace layouts. Through a multi-objective optimization framework, the approach aims to enhance collaboration while considering factors such as workflow efficiency, safety, and ergonomic considerations. By integrating human-centered design principles with robotic capabilities, this research seeks to create work environments that promote seamless interaction and collaboration between humans and robots. The findings contribute to advancing the field of collaborative workplace design, providing valuable insights for practitioners and researchers seeking to optimize human-robot collaboration in diverse workplace settings.

Exploring Piezoelectric Propulsion in Crawling Robots: Theoretical and Experimental Analyses

Xiangli Zeng, Yue Wu, Shangyan Han, Yanbo Liu, Haohua Xiu, Fengjun Tian and Luquan Ren

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This study delves into the utilization of piezoelectric materials for propulsion in crawling robots, combining theoretical modeling with experimental validation. The research investigates the feasibility and efficiency of employing piezoelectric actuators to drive locomotion in robotic systems. Theoretical analyses elucidate the underlying principles governing the interaction between the piezoelectric material and the robot's movement, while experimental investigations provide empirical validation and insights into practical implementation challenges. The results contribute to advancing the understanding of piezoelectric-driven crawling robots and offer valuable guidance for the development of efficient and versatile robotic systems.

Enhancing Human-Robot Collaboration through Digital Twins: Leveraging Digital Humans

Tsubasa Maruyama, Toshio Ueshiba, Mitsunori Tada, Haruki Toda, Yui Endo, Yukiyasu Domae, Yoshihiro Nakabo, Tatsuro Mori and Kazutsugu Suita

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This research explores the integration of digital twin technology to enhance collaboration between humans and robots, with a focus on leveraging digital representations of humans (digital humans). The study investigates the potential of digital twins in facilitating seamless interaction and cooperation between human operators and robotic systems. Through the utilization of digital humans, various aspects of human-robot collaboration such as task planning, safety, and ergonomics are addressed. The findings highlight the benefits and challenges of employing digital twins in human-robot collaboration scenarios, offering insights for optimizing interaction and improving overall efficiency in diverse industrial and collaborative settings.

Analyzing the Impact of Lane Narrowing on Speed Reduction and Acoustic Environment in an Urban Dual Carriageway

Alicja Barbara Sołowczuk and Dominik Kacprzak

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This study investigates the effects of lane narrowing on speed reduction and the acoustic environment in an urban dual carriageway. Lane narrowing is a commonly implemented traffic calming measure aimed at improving safety and mitigating traffic-related noise pollution. Using a combination of traffic speed measurements and acoustic monitoring, we assess the changes in vehicle speeds and noise levels before and after the implementation of lane narrowing. Our findings suggest that lane narrowing significantly reduces vehicle speeds, contributing to enhanced road safety. Additionally, we observe a noticeable improvement in the acoustic environment, with decreased noise levels following the implementation of this traffic management strategy. These results underscore the effectiveness of lane narrowing as a measure to promote safer driving behaviors and mitigate the impact of traffic noise in urban environments.

Engineering Myoglobin-Based Peroxidase for Enhanced Dye Decolorization and Lignin Bioconversion Efficiency

Wen-Jie Guo, Jia-Kun Xu, Sheng-Tao Wu, Shu-Qin Gao, Ge-Bo Wen, Xiangshi Tan and Ying-Wu Lin

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

In this study, we present the design and engineering of a highly efficient peroxidase utilizing myoglobin as a scaffold. Peroxidases play a crucial role in various industrial applications, including dye decolorization and lignin bioconversion. By leveraging the unique properties of myoglobin, we engineered a peroxidase with enhanced catalytic activity and stability. Through rational design and directed evolution techniques, we optimized the enzyme for efficient dye decolorization and lignin degradation. Our results demonstrate the potential of this engineered peroxidase as a versatile biocatalyst for environmentally friendly processes in the textile and biofuel industries. This study highlights the significance of protein engineering approaches in developing novel enzymes with tailored functionalities for biotechnological applications.

Community Variation and Ecological Influences along Environmental Gradients: Insights from a 1200 km Belt Transect across Inner Mongolia Grassland, China

Zhanyong Fu, Fei Wang, Zhaohua Lu, Meng Zhang, Lin Zhang, Wenyue Hao, Ling Zhao, Yang Jiang, Bing Gao, Rui Chen and Bingjie Wang

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This study investigates community variation and the ecological factors influencing it along environmental gradients in the Inner Mongolia Grassland, China. Using data collected from a 1200 km belt transect, we analyze the composition and distribution of plant communities across diverse environmental conditions. Our findings reveal significant differentiation in community composition along gradients of moisture, temperature, and other environmental variables. Through statistical analyses, we identify key ecological factors driving these patterns of community variation. This research provides valuable insights into the mechanisms shaping plant community dynamics in grassland ecosystems and highlights the importance of environmental gradients in structuring biodiversity.


International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

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