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检索条件"任意字段=IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

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Enhancing Human-Robot Collaborative Assembly in Manufacturing systems Using Large Language Models 20

Enhancing Human-Robot Collaborative Assembly in Manufacturin...

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ieee 20th international conference on Automation Science and Engineering (CASE)

作者： Lim, Jonghan Patel, Sujani Evans, Alex Pimley, John Li, Yifei Kovalenko, Ilya Penn State Univ Dept Ind & Mfg State Coll PA 16801 USA Penn State Univ Dept Mech Engn State Coll PA USA Penn State Univ Dept Comp Sci & Engn State Coll PA USA

ISBN: (纸本)9798350358513;9798350358520

The development of human-robot collaboration has the ability to improve manufacturing system performance by leveraging the unique strengths of both humans and robots. On the shop floor, human operators contribute with their adaptability and flexibility in dynamic situations, while robots provide precision and the ability to perform repetitive tasks. However, the communication gap between human operators and robots limits the collaboration and coordination of human-robot teams in manufacturing systems. Our research presents a humanrobot collaborative assembly framework that utilizes a large language model for enhancing communication in manufacturing environments. The framework facilitates human-robot communication by integrating voice commands through natural language for task management. A case study for an assembly task demonstrates the framework's ability to process natural language inputs and address real-time assembly challenges, emphasizing adaptability to language variation and efficiency in error resolution. The results suggest that large language models have the potential to improve human-robot interaction for collaborative manufacturing assembly applications.

关键词： Collaborative robots

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Short Inter-robot Distance Following Based on Collision-free Nonlinear Model Predictive Control 6

Short Inter-robot Distance Following Based on Collision-free...

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6th international conference on Reconfigurable Mechanisms and Robots (ReMAR)

作者： Lin, Xijie Song, Yuan Guo, Lei Beijing Univ Posts & Telecommun Artificial Intelligence Sch Beijing 100876 Peoples R China

ISBN: (纸本)9798350395976;9798350395969

Self-reconfigurable robots aim to develop intelligent robotic systems with shape variability and task adaptability. This technology employs modular design, allowing robots to autonomously adjust their shape and structure according to specific tasks. For multiple self-reconfigurable robots using mecanum wheels as their mobile platform, a collision-free nonlinear model predictive control (NMPC) method is adopted to provide control strategies, enabling them to accomplish short-distance tracking tasks in real-time environments. An external radar module is utilized for global robot localization and obtaining high-precision pose information. Experiments conducted in a 3D simulation environment validate the effectiveness of this approach. In practical applications, overcoming various challenges such as hardware design, communication, and perception is essential to achieve robustness and reliability in self-reconfigurable robot systems.

关键词： Predictive control systems

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Power Consumption in HPC-AI systems 6th

Power Consumption in HPC-AI Systems

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6th international conference on Cloud computing and Artificial Intelligence-Technologies and applications

作者： Nana, Roblex T. Tadonki, Claude Dokladal, Petr Mesri, Youssef Mines Paris PSL Ctr Rech Informat CRI Fontainebleau France Mines Paris PSL Ctr Morphol Math CMM Fontainebleau France Mines Paris PSL Ctr Mise Forme Mat CEMEF Sophia Antipolis France

ISBN: (纸本)9783031786976;9783031786983

Beside the need for speed that has led to HPC, energy has become a crucial concern that is addressed in HPC hardware and software solutions. There are several aspects when it comes to energy in computing systems: cost, source, heat, carbon, lifetime, and more. From the standpoint of embedded systems, devices are battery-powered, thus the available amount of energy to proceed with is limited. In critical cases like these, it is vital to optimize all sources of substantial power consumption. Regarding more standard computing systems, including supercomputers, the question of energy saving mainly translates into electricity cost and carbon emission. Indeed, the overall energy required to run an HPC infrastructure including cooling systems represents an important part of the maintenance budget. In addition, considering heat dissipation, lifetime of the hardware is reduced as well as MTBF (mean time between failures). One the major topic from the application standpoint that HPC has to consider carefully is artificial intelligence (AI). Indeed, this processing paradigm has tremendously grew up with more and more ambitious perspectives. The pervasiveness of AI solutions and the noticeable computing time required for at least the training phases exacerbate the concern of power consumption in this context. The purpose of this chapter is to explore and illustrate the issue of power consumption in HPC-AI systems so as to make the issue more clear to the reader and highlight the main solutions and perspectives.

关键词： HPC AI energy power consumption carbon footprint

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A Novel Hybrid CMOS Full Adder with Low Power and High Speed for embedded systems

A Novel Hybrid CMOS Full Adder with Low Power and High Speed...

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2024 international conference on Electrical, Electronics and computing Technologies, ICEECT 2024

作者： Chaudhary, Charu Sharma, Uma Ajay Kumar Garg Engineering College Department of Electronics and Communication Ghaziabad India

ISBN: (纸本)9798350378092

A low-power and high-speed CMOS (Complimentary Metal Oxide Semiconductor Logic) complete Full adder core is suggested for embedded systems in this work. This novel hybrid Full adder design consists of two different logic styles which is named as static CMOS logic and the pass-transistor logic, the present full adder digital circuit is based on a new three-input exclusive OR (3-XOR) design. Here in this novel full adder design the primary goal of this circuit is to provide the driving capability in addition it also gives the fast speed and low power consumption. The experimental circuit's properties, when compared to previous literature, demonstrate that the novel adder improves power consumption by 3.6% to 32.8%, time delay of Co by 10.9% to 40.6%, and power-delay product of Co by 12.9% to 90.9% by using the TSMC CMOS 0.35-μm technology which is also suitable for Mixed-Signal circuits. Out of all the Full adders which are chosen here for the comparison, the circuit has been shown to have the lowest consumption of power and there is a quickest carryout signal response. The new hybrid full adder and the XOR logic can be effectively integrated in an embedded system or SoC because of their high speed as well as where the low power consumption requirements are there in the circuits. This hybrid CMOS full adder uses a combination of PMOS and NMOS transistors to achieve low power consumption, high speed, and area efficiency. The sum and carry circuits are designed to implement the respective logical functions using a mix of pass transistor logic and traditional CMOS techniques. The resulting full adder is well-suited for embedded systems where power and speed are critical factors. © 2024 ieee.

关键词： CMOS integrated circuits

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Survey and Compare of Some embedded Operation systems for the Internet of Things 7

Survey and Compare of Some Embedded Operation Systems for th...

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7th international conference on Computer and Communication systems, ICCCS 2022

作者： Yuan, Benchi Chen, Xiangning Cao, Shuai Nanjing University School of Electronic Science and Engineering Nanjing China

ISBN: (数字)9781665450607

ISBN: (纸本)9781665450607

The Internet of Things has a very wide range of applications, and embedded devices are widely used in new fields such as smart home, smart transportation, medical care, and smart cars. The embedded operating system for the Internet of Things should have good real-time performance and reliability, can make more reasonable and effective use of CPU resources, simplify the design of application software, and improve the efficiency of system development. With the rapid development of the Internet of Things and the gradual maturity of Internet of Things applications, the Internet of Things OS developed on the basis of embedded real-time operating systems is emerging. The embedded operating system running in the Internet of Things environment is different from the ordinary RTOS and has new technical characteristics and requirements. Through the study of the development history of the Internet of Things operating system and a brief analysis of the technical architecture of several emerging and powerful Internet of Things operating systems such as Huawei LiteOS, AliOS Things, and RT-Thread, this article summarizes the characteristic requirements of the kernel and peripheral modules of the embedded operating system oriented to the Internet of Things. © 2022 ieee.

关键词： Internet of things

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Empowering Biometrics Authentication System Using Decentralized Blockchain Based applications 4

Empowering Biometrics Authentication System Using Decentrali...

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4th ieee international conference on computing, Communication, and Intelligent systems, ICCCIS 2023

作者： Shukla, Harsh Bhushan, Bharat Sharda University Department of Computer Science and Engineering Greater Noida India

ISBN: (纸本)9798350306118

Biometric authentication systems are the most popular way of storing and securing information and has significantly evolved with the passage of time. But the major problem with this system still exists in the world, i.e., weak security which indirectly results in the risk of biometric information leakage which leads to unreliability of its modules, and non-Transparency of its information management. On the other hand, Blockchain technology which is a collaborative and unchangeable record-keeping system that simplifies the task of documenting transactions and monitoring resources within a corporate network become popular and drawn major attention of the communities because of its high-end security feature as it is decentralized, its reliability, and durability. This paper highlights the idea of bringing up these two modern technologies together so as to provide more security to biometrics authentication system with the help of blockchain and analyses the challenges with this integration. Also, biometrics will help blockchain to improve its present distributed schemes for digital identity. This will also help in many real-world inventions like smart devices. © 2023 ieee.

关键词： Authentication

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Use of AI & embedded Technology in Human Identity Chips for IoMT 4

Use of AI & Embedded Technology in Human Identity Chips for ...

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4th international conference on computing and Communication systems, I3CS 2023

作者： Dash, Bibhu Sharma, Pawankumar Swayamsiddha, Swati University of the Cumberlands School of Computer and Info. Sciences WilliamsburgKY United States KIIT University School of Electronics Engineering Odisha Bhubaneswar India

ISBN: (纸本)9798350323771

Technological innovations continue to change the way we do things. Such innovations are meant to make life easier and increase decision-making accuracy. Improper identification of patients has led to increased cases of wrong drug administration and treatment. Radiofrequency identification (RFID) has been around long enough and has proven effective in monitoring and tracking. Implanting RFID chips in patients increases operational efficiency, increases safety, aids in saving costs, and supports the journey of the Internet of Medical Things (IoMT). Artificial intelligence (AI) technology has proved to be more effective than humans in terms of the time taken to complete specificjobs and accuracy levels. RFID is the main technology used for human identity chips;its integration with AI technology will increase diagnostic accuracy and provides medical recommendations for the patient. This report discusses the implications of AI and embedded systems in human identity chips through a detailed review. The major finding in the report is that the increased efficiency of AI in human identity chips is the main driver of AI and RFID applications in modern healthcare. On the other hand, data and security concerns, human safety, and the high cost of adoption are the major barriers to AI and RFID adoption in healthcare and other industries. © 2023 ieee.

关键词： embedded systems

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Advancing embedded System Design: FPGA-Based Digital Frequency Meter with Adaptive Range Commutation

Advancing Embedded System Design: FPGA-Based Digital Frequen...

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2024 international conference on Computer and applications, ICCA 2024

作者： Raouf, Youssef Benmamoun, Zoubida Hachimi, Hanaa Jebbor, Ikhlef National School of Applied Sciences Ensa Ibn Tofail University Laboratory of Advanced Systems Engineering Kenitra Morocco Liwa College Faculty of Engineering and Computing Abu Dhabi United Arab Emirates

ISBN: (纸本)9798350367560

Frequency measurement is crucial in electronic measurement, and digital frequency meters are essential for engineering. Their use in smart appliances increases demand for wider ranges and complex designs. This paper presents the design and implementation of a digital frequency meter using FPGA technology, in particular the Xilinx Spartan 7. The system incorporates automatic range commutation, providing frequency measurements from 0.01 Hertz to 9.99 Megahertz. The frequency is displayed on a three-digit display with two decimal positions, while the range is shown on eight LEDs. Measurement is based on counting signal cycles within a time frame defined by a basic time generator. When the frequency exceeds the counting limits, the system automatically changes scale. The development part of this paper is divided into two steps: first, a digital architecture is designed using VHDL software for the combinational and sequential logic functions, preceded by validation by simulation. In the second step, analogue conditioning circuits are developed, including filters for noise reduction and a comparator for signal shaping. The system is tested with a signal generator to validate the functionality of the FPGA-based frequency meter. Findings show that the FPGA implementation provides accurate frequency measurements with effective automatic range commutation. © 2024 ieee.

关键词： Electric frequency measurement

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Exploring the Intersection of VLSI and embedded systems: Technological Advancements and Future applications 2

Exploring the Intersection of VLSI and Embedded Systems: Tec...

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2nd international conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2024

作者： Pandi, V. Samuthira James, Aaron S. Jaishika, S. Shobana, D. Priya, Lakshmi J. Pattunnarajam, P. Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Tamil Nadu Chennai India Electrical and Electronics Section Department of Engineering & Technology University of Technology and Applied Sciences Ibri Oman Department of Information Technology Sri Sairam Institute of Technology Sai Leo Nagar West Tambaram Chennai India Department of Mechatronics Engineering Rajalakshmi Engineering College Chennai India Department of ECE Saveetha Engineering College Chennai India Department of ECE Sri Venkateswara College of Engineering Sriperumbudur India

ISBN: (纸本)9798331541217

In this study, we look at the present and future of embedded systems as well as VLSI (Very Large Scale Integration) technology to see how the two work together. In particular, very large scale integration (VLSI) technology has altered the landscape of consumer electronics and medical diagnostics by enabling the integration of millions of transistors onto a single chip. Whereas bigger systems rely on embedded systems for their operation, the latter perform tasks that are unique to their settings. One area that has benefited greatly from VLSI technology's incorporation into embedded systems is the automotive industry, which uses it to power cutting-edge electronic systems like navigation and voice recognition. Communication device development, 5G evolution, and beyond have all relied heavily on this integration, demonstrating VLSI's significance in the field of future communication technologies. Trends in very large scale integration (VLSI) technology that are yet to come include developments in semiconductor manufacturing, AI, and new fields like neuromorphic engineering and quantum computing. embedded systems stand to benefit from these developments, which should increase their efficiency, power, and adaptability to new uses. In particular, this research looks at how very large scale integration (VLSI) and embedded systems can change sectors including consumer electronics, healthcare, and the automobile industry in the future. For a full picture of how these technologies will influence the future of technology, it also discusses the pros and cons of integrating them. © 2024 ieee.

关键词： Automotive industry

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Poster Abstract: real-time Cardiovascular Disease Detection via Abnormal Electrocardiogram Cycles on embedded systems 23

Poster Abstract: Real-Time Cardiovascular Disease Detection ...

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23rd ACM/ieee international conference on Information Processing in Sensor Networks, IPSN 2024

作者： Li, Yixin Sui, Ning Xu, Chenhan Gehi, Anil Guo, Zhishan North Carolina State University Computer Science RaleighNC United States North Carolina State University Biochemistry RaleighNC United States Unc School of Medicine Cardiac Electrophysiology Chapel HillNC United States

ISBN: (纸本)9798350362015

In this study, we present an efficient cardiovascular disease de- tection paradigm. Our key insight is that we can achieve more efficient and accurate early detection and diagnosis of heart dis- eases by identifying specific abnormal ECG cycles at low cost and performing full analysis only on abnormal ECG cycles. Our method leverages an advanced neural network with knowledge distillation techniques to focus on singular ECG anomalies, significantly re- ducing computational complexity and enabling real-time patient condition monitoring. This approach shows a great potential in this field, emphasizing efficiency, accuracy, and the ability to deliver actionable insights in critical care scenarios outside of traditional hospital settings. © 2024 ieee.

关键词： Electrocardiograms

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