Products related to Throughput:
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Manufacturing System Throughput Excellence : Analysis, Improvement, and Design
Improve key metrics of manufacturing performance with this accessible guide Manufacturing throughput refers to the quantity of products that can be produced within a period and with available resources.Enhancing manufacturing throughput is crucial for a business’s success.However, managing and improving throughput can be challenging due to the complexity of manufacturing systems and their operations, which involve numerous variables.To effectively manage and improve system throughput, it is essential to adopt a scientifically guided methodology and practices.Manufacturing System Throughput Excellence is a unique book that provides a concise and practical overview of manufacturing throughput management.It includes best practices for achieving improved throughput on the production floor and explores the connections between production management and system design.The book emphasizes practical, executable approaches, drawing on the author’s 25+ years of industry and academic experience.It serves as an indispensable tool for businesses looking to boost manufacturing efficiency and drive improved outcomes.Manufacturing System Throughput Excellence readers will discover: The latest and effective approaches for achieving manufacturing operational excellenceKey pillars of manufacturing excellence: production management, maintenance management, quality management, and system designSpecific principles and methods on bottleneck identification and buffer analysis Insightful connections between academic research and industrial practiceSummaries and end-of-chapter exercises to reinforce learning Manufacturing System Throughput Excellence is a unique and comprehensive guide for manufacturing practitioners and researchers, as well as mechanical and industrial engineering students in advanced manufacturing courses.
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Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation
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Food Engineering Automation with Robotics and AI
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Artificial Intelligence and Learning Futures : Critical Narratives of Technology and Imagination in Higher Education
Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education explores the implications of artificial intelligence’s adoption in higher education and the challenges to building sustainable instead of dystopic schooling.As AI becomes integral to both pedagogy and profitability in today’s colleges and universities, a critical discourse on these systems and algorithms is urgently needed to push back against their potential to enable surveillance, control, and oppression.This book examines the development, risks, and opportunities inherent to AI in education and curriculum design, the problematic ideological assumptions of intelligence and technology, and the evidence base and ethical imagination required to responsibly implement these learning technologies in a way that ensures quality and sustainability.Leaders, administrators, and faculty as well as technologists and designers will find these provocative and accessible ideas profoundly applicable to their research, decision-making, and concerns.
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Which programming language is used for robotics and artificial intelligence?
Python is commonly used for robotics and artificial intelligence due to its simplicity, readability, and extensive libraries for machine learning and robotics. It is also known for its flexibility and ease of integration with hardware, making it a popular choice for developing robotics and AI applications. Additionally, Python's strong community support and active development make it a suitable language for these rapidly evolving fields.
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How can one measure the WLAN throughput?
WLAN throughput can be measured by conducting a speed test using various online tools or software applications. These tests typically involve transferring a specific amount of data between devices over the WLAN network and measuring the time it takes to complete the transfer. Throughput can also be measured using specialized hardware tools that capture and analyze WLAN traffic to determine the actual data transfer rates. Additionally, monitoring WLAN performance metrics such as signal strength, interference levels, and network congestion can provide insights into the overall throughput of the network.
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How can you measure the WLAN throughput?
You can measure WLAN throughput by using network performance testing tools such as iPerf or TamoSoft Throughput Test. These tools can generate and measure network traffic to determine the actual data transfer rate of the WLAN. Additionally, you can use WLAN monitoring software to track the throughput over time and identify any performance issues. Finally, conducting real-world tests by transferring large files over the WLAN can also provide a practical measure of the throughput.
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Is machine learning already artificial intelligence?
Machine learning is a subset of artificial intelligence. It involves training a machine to learn from data and make predictions or decisions without being explicitly programmed to do so. Artificial intelligence, on the other hand, encompasses a broader range of technologies and applications that enable machines to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and solving problems. While machine learning is an important component of artificial intelligence, AI also includes other techniques such as natural language processing, computer vision, and robotics.
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Advances in Robotics and Artificial Intelligence
The reality of autonomous machines with artificial intelligence is becoming more real every day.The ability of machines to think and learn fascinates everyone, but now even the most reluctant readers have a chance to engage in learning about the history and future of robotics.This book covers everything from the 18th century French automatons to Ada Lovelace and Alan Turing, from self-driving cars and smart homes to assembly and military robots.Each spread is complimented with vivid artwork that further illuminates the accessible, exciting text.
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Artificial Intelligence And Innovation Management
Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate.It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation).The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions.They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).
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AI projects with Raspberry Pi : High-performance artificial intelligence for robotics, security, home automation, and vision
The Raspberry Pi 5 is the perfect computer to experiment with the world of neural networks, artificial intelligence, and machine learning. Coupled with the Raspberry Pi AI Kit, you can integrate local, high-performance, power-efficient inferencing into your projects.WIth the AI Kit, you can build complex AI vision applications, running in real time, with low latency and low power requirements. This book shows you how to get up and running with pretrained models or models you train yourself.You'll learn how to work with models that can:Identify a variety of objects and highlight them for youEstimate the pose of a personal, animal, or robotDiscern facial landmarks such as eyes, nose, and mouthClassify things based on their appearanceWhen you combine Raspberry Pi with artificial intelligence, it gives you the power to create all sorts of things: robots that can interact intelligently with their surroundings, games that use the physical world as a playing field, and home automation systems that adjust to the environment in real time.You're not limited by the pretrained models; with the Hailo Dataflow Compiler (DFC), you can fine-tune the kit for a variety of use cases.With this guide, you'll be up and running with your own Raspberry Pi-powered applications in no time!
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Adopting Artificial Intelligence Tools in Higher Education : Teaching and Learning
The book offers a modern exploration of the intersection of technology and education.It examines the prospects of integrating different AI tools into higher education and explores the challenges, opportunities, and innovative solutions for the different issues surrounding the use of AI in higher education. Each chapter discusses a different area where AI can enhance the educational landscape, such as AI Integration in Higher Education and Immersive Virtual Reality-Based Learning Environments.The book also emphasizes Student-Centered Learning, AI-powered frameworks for academic excellence, and Learner-Centric Pedagogies.Furthermore, it delves into the role of AI in Personalized Learning in STEM courses, the development of AI-based Tutoring Systems, and the use of Machine Learning to identify students' mental health status.The volume concludes with "Dynamic Horizon," which examines how AI and gamification are shaping higher education. This book is essential for educators, administrators, researchers, and policymakers who want to leverage AI to create an adaptive, personalized, and engaging learning environment. "Adopting Artificial Intelligence Tools in Higher Education" provides valuable insights into the future of education, paving the way for a more empowered and enlightened academic world.
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How can the data throughput of a Synology NAS be increased?
The data throughput of a Synology NAS can be increased by several methods. First, upgrading the network infrastructure to support higher data transfer speeds, such as using a Gigabit Ethernet connection or even 10 Gigabit Ethernet if the NAS and network equipment support it. Second, using SSDs instead of traditional hard drives can significantly increase data throughput due to their faster read and write speeds. Additionally, optimizing the NAS settings and configurations, such as enabling link aggregation or using a faster RAID configuration, can also improve data throughput. Finally, ensuring that the NAS hardware and firmware are up to date can also help maximize data transfer speeds.
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Why is the data throughput between the LAN ports of the router slower?
The data throughput between the LAN ports of a router is typically slower because the traffic needs to be processed by the router's internal circuitry, including the routing table and firewall rules. This processing adds a slight delay to the data transfer compared to direct communication between devices on the same network. Additionally, the LAN ports may have a lower maximum speed compared to the WAN port, which can also contribute to slower data throughput between LAN ports.
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How difficult is a study of robotics and automation?
The study of robotics and automation can be challenging due to its interdisciplinary nature, requiring knowledge in fields such as mechanical engineering, electrical engineering, computer science, and control systems. Additionally, the rapid advancements in technology and the need to stay updated with the latest developments can add to the complexity of the study. However, with dedication, problem-solving skills, and a strong foundation in mathematics and physics, students can overcome these challenges and excel in the field of robotics and automation.
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Does a Fritzbox 7530 or a Fritzrepeater 2400 provide more throughput in the WLAN?
The Fritzbox 7530 typically provides more throughput in the WLAN compared to the Fritzrepeater 2400. This is because the Fritzbox 7530 is a router with more advanced features and capabilities, while the Fritzrepeater 2400 is a Wi-Fi extender designed to improve coverage rather than increase throughput. If you are looking for faster speeds and better performance in your wireless network, the Fritzbox 7530 would be the better choice.
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