This article describes a framework for modeling and executing training in augmented and virtual reality environments. The framework was designed based on characteristics observed in existing training applications for ...
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ISBN:
(纸本)9798350300543
This article describes a framework for modeling and executing training in augmented and virtual reality environments. The framework was designed based on characteristics observed in existing training applications for complex tasks, such as the use of tools, control panels and the need for step-by-step instructions. Unlike other frameworks, in the proposed system, it is possible to create the training entirely within the virtual/augmented environment, avoiding constant switching between 2D and 3D environments. The framework allows for the definition of steps in a training program, each of which includes textual instructions, videos, and 3D objects, static or animated, anchored in the real world. To demonstrate the capabilities of the framework, a training program for operating a Universal Testing Machine was created as a case study. Overall, the proposed framework allows for the creation of effective and efficient AR training programs for a variety of tasks and industries.
The problem of cyberbullying is common on social media and online platforms, but it requires more advanced detection techniques. The below-captioned article suggests a holistic method to recognize cyberbullying utiliz...
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Cardiac Magnetic Resonance Imaging (CMRI) has established itself as a cornerstone in cardiovascular diagnostics, enabling precise assessment of left ventricular (LV) myocardium. This review meticulously examines the m...
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Classical and quantum computational electromagnetics (CEM) are important for the development of new technologies. For instance, classical CEM, together with circuit theory, are responsible for over 90 percent of the d...
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This paper explores the complexities of current trends and technological progress that are influencing the future of digital business transformation. This analysis explores the significant impact of integrating artifi...
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ISBN:
(纸本)9798350348798;9798350348804
This paper explores the complexities of current trends and technological progress that are influencing the future of digital business transformation. This analysis explores the significant impact of integrating artificial intelligence (AI) and machine learning (ML) into different aspects of business operations, including business models, customer experiences, and innovation. In addition, we examine the growing importance of e-commerce, digital marketing, and online platforms, specifically considering the interest in social media and travel. This paper aims to provide insights into the opportunities and challenges in the dynamic landscape, drawing from the intersection of computerscience and business.
Drilling is a significant cutting method employed in manufacturing industries. With the development of computer technology, the finite element method (FEM) has been widely applied in the research of cutting. By simula...
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Drilling is a significant cutting method employed in manufacturing industries. With the development of computer technology, the finite element method (FEM) has been widely applied in the research of cutting. By simulating the drilling using FEM, it is possible to reveal the cutting mechanism and optimize the drilling process without conducting extensive experiment. This paper introduces the finite element software commonly used in drilling, summarizes the key techniques in finite element simulation of drilling, and reviews the applications of the finite element simulation of drilling in the research of chip morphology, cutting temperature, cutting force, and burr prediction. The problems existing in current research and the future development direction are pointed out. The research is helpful to promote the development and application of finite element simulation technology of drilling.
Every online product, from internal enterprise applications, used at the workplace to personal apps like social media, is subject to human error. These errors are a natural aspect of human interaction with technology....
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The paper provides an analysis on the hydrogen landscape aiming to identify the gaps and what needs be done to reach the different hydrogen targets by 2030. After an overview of the EU targets, the discussion focuses ...
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ISBN:
(纸本)9798350375596;9798350375589
The paper provides an analysis on the hydrogen landscape aiming to identify the gaps and what needs be done to reach the different hydrogen targets by 2030. After an overview of the EU targets, the discussion focuses on the validation of the existing and new technologies in the hydrogen value chain and business models that are adopted in large-size projects. This will be done considering one of the largest hydrogen facilities in Europe, Holland Hydrogen I and several other hydrogen initiatives in Europe. The objective of this analysis is to critically assess these initiatives, considering from small-size projects to large-size projects, with a view to identifying opportunities for enhancement and innovation, and to understand whether it is realistic or not to meet these targets with the current available technologies and regional policy and legislation.
The world is moving forward with technology as mobile agents are the initials for creating a chain of connections from one hope to another. And because of this, technology has a kind of meaning. Due to the many attack...
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Smart agriculture systems leverage the possibilities offered by cutting-edge technologies such as IoT, AI, and remote sensing to revolutionize conventional farming by enhancing resource utilization, production, and cr...
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ISBN:
(纸本)9798331509675
Smart agriculture systems leverage the possibilities offered by cutting-edge technologies such as IoT, AI, and remote sensing to revolutionize conventional farming by enhancing resource utilization, production, and crop damage mitigation. Real-time monitoring of soil and crop health, predictive analytics, pest control, and precision irrigation measures are all enabled by these systems. They are able to address major Indian agriculture issues, consequently boosting yield and profitability and promoting environmental sustainability. The largescale deployment of intelligent agriculture systems will change the agriculture landscape in India and will assure long-term food security for an ever-growing population. Challenges include adequate research and future studies in order to better install and achieve smart agricultural systems to protect crops. Intelligent agriculture involves all advanced research, including science and innovations, in national development through space technologies to enhance soil quality, conserve water, and facilitate agriculture information. Space ventures will undergo improved modernization through the introduction of crop sprayers, precision gene editors, epigenetics, big data analytics, IoT, wind and photovoltaic smart energy, AI-enabled robotic applications, and wide-scale desalination technologies. Implementing digital farming systems in developing economies will help their sectors as 85 percent of the global population is set to live in developing countries by 2030. Automation will prove to be necessary since food scarcity is on the rise along with resource wastage. Control strategies such as the IoT, aerial imagery, machine learning, and artificial intelligence will boost production and prevent soil degradation. These advancedtechnologies are also able to alleviate such issues as plant disease detection, pesticide management, and water application. The introduction of the Internet of Things in the agricultural research world has started
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