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Novel design of an Ultra Compact Software Defined Radio System with High-density Fan-out SiP Technology 7

Novel Design of an Ultra Compact Software Defined Radio Syst...

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7th International conference on Electronic Information Technology and Computer Engineering (EITCE)

作者： Chen, Daijiong Wang, Shuangfu Wei, Qifu Huang, Huixiang Xiamen Univ Technol Sch Optoelect & Commun Engn Xiamen Fujian Peoples R China HLTron Kunshan Co LTD Shanghai Peoples R China

ISBN: (纸本)9798400708305

With the development of wireless communication technologies, software defined radio (SDR) presents an exponential growth. Traditional SDR system is built on PCB consists of discrete chips and components, including processor, SDRAM, flash, transceiver. However, it suffers from large size, long interconnect path between chips and high design complexity. additionally, due to limitations of chips manufacturing process, they cannot further integrate by means of System-on-Chip (SoC). In this paper, a heterogeneous SiP design based on High-density Fan-out (HDFO) package suitable for SDR applications is proposed. this design is highly integrated with a PSoC chip as the main controller for baseband signal processing, a radio frequency (RF) agile transceiver for RF part realization, two 4-Gbits DDR3 SDRAMs for data caching, and a 256-Mbits Nor flash for procedure storage. the design adopts 4 redistribution layers (RDLs) for signal interconnection and power distribution, the minimum trace width/space is 4um/4um. the final package downsizes to 19 mm x 16 mm x 1.23 mm, which is significantly reduced compared with traditional SDR system, the package-chips area ratio is 1.44. Considering that high routing density may lead to signal or power supply issues, signal integrity (SI) and power integrity (PI) analysis combined with layout co-optimization is carried out. the final design meets the requirements of system specifications and exhibits better electrical performance.

关键词： High-density Fan-out SDR Signal integrity Power integrity SiP Heterogeneous integration

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Eco-Detect: A Sustainable Solution to Advanced Waste Sorting using AI and IoT 4

Eco-Detect: A Sustainable Solution to Advanced Waste Sorting...

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4th International conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024

作者： Nandini Prasad, K.S. Manjula, G. Aishwarya, K.J. Chetankumar Prakash, K. N. Bhanu Chandan, V Sai Dayananda Sagar Academy of Technology and Management Department of Information Science and Engineering India Dayananda Sagar Academy of Technology and Management Department of Computer Science and Design India Dayananda Sagar Academy of Technology and Management Department of Information Science and Engineering Bangalore India

ISBN: (纸本)9798331529635

the traditional waste management system, prevalent in many regions, relies heavily on manual sorting processes carried out by human workers. these processes are often labor- intensive and time-consuming, leading to inefficiencies in waste management operations. Manual sorting methods struggle to cope with the increasing volume and complexity of waste generated, resulting in challenges in accurately categorizing and classifying different types of waste materials. this limitation not only hampers the effectiveness of waste sorting but also impedes efforts to maximize recycling rates and minimize environmental impact. In response to the limitations of traditional waste management approaches, the proposed Eco Detect Advanced Waste Sorting system presents a transformative solution. Leveraging the advancements in artificial intelligence and computer vision, this system introduces the utilization of the YOLOv7 algorithm for real-time interference. YOLOv7, renowned for its exceptional accuracy and speed in object detection, is integrated into the waste sorting process to enable rapid and precise identification and classification of diverse waste materials. By employing deep learning methodologies, the system is capable of recognizing a wide array of waste categories, including plastics, paper, glass, metals, and organic materials, with remarkable efficiency. the integration of the YOLOv7 algorithm into the proposed waste sorting system represents a significant advancement in waste management technology. By enabling swift and accurate identification of various waste types, the system facilitates the optimization of recycling practices, promotes the establishment of a circular economy, and contributes to the overall sustainability agenda. Its adaptability and scalability make it well-suited for widespread implementation, addressing the pressing need for sustainable waste management for clean energy solutions on a global scale. Ultimately, the paper envisions a future where te

关键词： Waste utilization

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A Structural design for Labor Market System Which Optimizes the Disruptions in the process through AI Adoption 4

A Structural Design for Labor Market System Which Optimizes ...

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4th IEEE International conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Manimalathi, P. Rekha, S. Al-Khalidi, Ayadh Abdulhasan, Maki Mahdi Abood, Baydaa Sh. Z. Babu, D.Sudhir Sri Ramakrishna College of Arts & Science Tamil Nadu Coimbatore India P.S.R Engineering College Sivakasi India Al-Hadi University College Baghdad Iraq AL-Nisour University College Baghdad Iraq National University of Science and Technology College of Health and Medical Technology Dhi Qar Iraq Vignan's Deemed to Be University Guntur Andhra Pradesh Vadlamudi India

ISBN: (纸本)9798350360165

Recent decades have seen a quick development of artificial intelligence (AI) technologies and their integration into many spheres of human life, substantially influencing labor markets all over the world. Below is given a complete comparative analysis on the impacts of AI adoption in both developed and developing economies. this paper identifies the nuanced dynamics of disruptions in the labor market on account of the adoption of AI. We, therefore, look to an investigation of contextual differences within diverse economic contexts from a multidisciplinary perspective made up of economics, sociology, and technology studies. the first section of this paper summarizes the theoretical frameworks seeking a relationship between the adoption of AI and labor market disruptions. Drawing from existing literature, we highlight mechanisms through which AI technologies reconfigure jobs, job structures, job requirements for skills, and patterns of employment. the main mechanisms along which AI influences labor demand, the character of the jobs being offered, and, in aggregate, economic opportunities of individual agents can be summarized by automation, augmentation, and reconfiguration. From there, we will analyze the impacts of adopting AI in both developed and developing economies. this helps in underlining these divergent trajectories and outcomes, resulting from differences in the techno-readiness, institutional frameworks, and socio-economic context through the use of empirical evidence and case studies. © 2024 IEEE.

关键词： AI Adoption Comparative Analysis Developed Economies Developing Economies Inclusive Growth Labor Market Disruptions Policy Responses Socio-Economic Context Sustainable Development Technological Readiness

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Adversarially Robust Reduced Order Model Predictive Control: Balancing Performance and Efficiency 4

Adversarially Robust Reduced Order Model Predictive Control:...

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4th Modeling, Estimation, and Control conference (MECC)

作者： Ahmed, Akhil del Rio-Chanona, Ehecatl Antonio Mercangoz, Mehmet Imperial Coll London Dept Chem Engn London England

Model Predictive Control (MPC) is a powerful technique for controlling process systems, but it faces a notable trade-off between control performance and computational efficiency. At one extreme, one may choose to employ accurate nonlinear models and solve a nonlinear MPC problem to gain in performance at the expense of efficiency. At the other extreme, one may opt for simple linear models to solve a linear MPC problem sacrificing performance for efficiency gains. this trade-off is exacerbated for large-scale systems, which are ubiquitous in plant-wide process control. In response to this challenge, Reduced Order Models (ROMs) emerge as a promising solution, as they preserve model fidelity (and thus control performance) but with reduced dimensionality allowing for a smaller and thus more efficient optimal control problem to be solved. However, state-of-the-art data-driven ROMs, such as autoencoders, often exhibit sensitivity to disturbances and noise when applied in control settings like MPC. this diminishes control performance, limiting their practical use. this work explores the integration of adversarial machine learning techniques to fortify ROMs against such perturbations, aiming to achieve enhanced robustness without compromising performance or efficiency. Copyright (C) 2024 the Authors. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： process Control Model Predictive Control Adversarial Machine Learning Reduced Order Models

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Full-Stack Quantum Software in Practice: Ecosystem, Stakeholders and Challenges 4

Full-Stack Quantum Software in Practice: Ecosystem, Stakehol...

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4th IEEE International conference on Quantum Computing and Engineering, QCE 2023

作者： Stirbu, Vlad Haghparast, Majid Waseem, Muhammad Dayama, Niraj Mikkonen, Tommi University of Jyväskylä Jyväskylä Finland

ISBN: (纸本)9798350343236

the emergence of quantum computing has introduced a revolutionary paradigm capable of transforming numerous scientific and industrial sectors. Nevertheless, realizing the practical utilization of quantum software in real-world applications presents significant challenges. Factors such as variations in hardware implementations, the intricacy of quantum algorithms, the integration of quantum and traditional software, and the absence of standardized software and communication interfaces hinder the development of a skilled workforce in this domain. this paper explores tangible approaches to establishing quantum computing software development process and addresses the concerns of various stakeholders. By addressing these challenges, we aim to pave the way for the effective utilization of quantum computing in diverse fields. © 2023 IEEE.

关键词： Software design

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Digital manufacturing and Management Coupling design for Chinese Home Appliance Enterprises from the Perspective of Smart manufacturing 23

Digital Manufacturing and Management Coupling Design for Chi...

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Proceedings of the 2023 4th International conference on Big Data Economy and Information Management

作者： Huimin Tang Fei Lei Yinao Xiao Zhihong Zhao Business Administration Guangzhou Xinhua University China School of Finance and Economics Guangdong University of Science and Technology China DGUT-CNAM Institute Dongguan Institute of Technology China

ISBN: (纸本)9798400716669

In the post-epidemic era, this paper explores the problem of digital manufacturing and management coupling dilemma of Chinese home appliance enterprises from the perspective of smart manufacturing, in proposing the path of digital manufacturing and management coupling design. First, comprehensive monitoring and data collection of the production process through digital technology can provide more accurate production data for digital management, thus realizing the optimization and lean production process. Secondly, the article explores the coupling path of digital manufacturing and management. In addition, the article explores the issue of information sharing and collaborative integration to improve the overall competitiveness of enterprises. Digital manufacturing technology to achieve comprehensive monitoring and management of the production process can help Chinese home appliance companies transform and upgrade and rapidly improve their core competitiveness. In summary, this paper presents the ideas and methods of coupled design of digital manufacturing and management, which provides some reference for Chinese home appliance enterprises to realize digital manufacturing and management.

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Application of Artificial Intelligence Technology in Intelligent Examination of Enterprise Reimbursement process 4

Application of Artificial Intelligence Technology in Intelli...

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4th International conference on Artificial Intelligence and Computer Engineering, ICAICE 2023

作者： Yao, Linqiang Hanbal, Ibrahim Fabaan University of the Cordilleras Baguio City Benguet2600 Philippines

ISBN: (纸本)9798400708831

this paper takes the intelligent audit of an enterprise's financial expense reimbursement as the theme, aiming at the problems of large audit workload, low audit efficiency, many audit points, and ineffective control of audit risks in the financial audit during the circulation process of reimbursement documents. On the basis of the existing research results, a new practice of intelligent document review business is proposed based on the integration and collaborative innovation of multiple artificial intelligence technologies such as rule engine, RPA and OCR. through the construction of intelligent document review platform, the working mode and mechanism of financial shared document review are reshaped. the application practice proves that intelligent document review has strong adaptability, significantly improves the quality and efficiency of document review, and greatly reduces the work burden of financial personnel, in order to provide reference for the practical application of intelligent document review of reimbursement documents in various organizations. © 2023 ACM.

关键词： Efficiency

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the application of style transfer algorithms in the design of condom packaging 4

The application of style transfer algorithms in the design o...

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4th International conference on Computer Vision and Pattern Analysis, ICCPA 2024

作者： Liu, Tianyi Niu, Min Xia, Hanlong College of Art and Design Hubei University of Technology Wuhan China

ISBN: (纸本)9781510682528

With the rapid evolution of technology, artificial intelligence has gradually permeated every aspect of our lives, not least in the field of artistic design. In recent years, image style transfer algorithms, as a form of artificial intelligence technology, have garnered widespread attention in the realm of artistic design, particularly in the domain of packaging design. these algorithms can take the style of one piece of artwork, process it through a model, and subsequently apply it to another piece of artwork, infusing the field of packaging design with new vitality through unique creativity and visual effects. this paper will use the design of condom packaging as an example, aiming to design a condom package that conforms to the current aesthetic preferences of domestic college students under the integration of image style transfer algorithms and packaging design. At present, AIDS and sexually transmitted diseases are spreading widely among college students, and the reasonable and safe use of condoms is the most effective and direct prevention method. By improving the design of condom packaging, the usage rate of condoms among domestic college students can be increased, thereby reducing the risk of transmission of AIDS and sexually transmitted diseases. through the style transfer algorithm, the main images, graphics, and text of the condom packaging are creatively processed and redesigned to meet the current aesthetic preferences of domestic college students and increase their purchase intention and usage frequency. the combination of condom packaging design and artificial intelligence can not only increase the usage rate of condoms in the future, thereby preventing the spread of diseases, but also enhance the practicality and market value of condom packaging, bringing more business opportunities and profits to manufacturers and sellers. © 2024 SPIE.

关键词： Packaging machines

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A Novel Common Mode EMI Terminal Modeling Method of three-phase Inverter 4

A Novel Common Mode EMI Terminal Modeling Method of Three-ph...

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4th International conference on Smart Power and Internet Energy Systems (SPIES)

作者： Liu, Gang Xia, Jing Jin, Wanwan Tu, Xiude Wuhan Second Ship Design & Res Inst Wuhan Peoples R China

ISBN: (纸本)9781665489577

With high integration of power electronic inverters, the electromagnetic interference (EMI) issues are becoming more and more serious. therefore, it is necessary to establish the precise EMI model of inverters to analyze and suppress interference. First, this paper analyzes the theory of CM terminal modeling method of inverters and compares it with lumped circuit model. then a CM terminal modeling method of inverters by using the discrete components and CM interference sources is proposed. Only one online measurement is required during the whole modeling process, so the modeling process is simple. the error between modeling results and experimental results is less than 6dB in the range of 150kHz to 9MHz, which verifying the correctness of the modeling method.

关键词： terminal model equivalent impedance equivalent interference source CM interference

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Optimizing Training for Human-Robot Collaboration in Learning Factories: An Employee-Centered Perspective 14th

Optimizing Training for Human-Robot Collaboration in Learnin...

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14th International conference on Learning Factories (CLF)

作者： Gil, Raquel Salcedo Ulfert, Anna-Sophie Rispens, Sonja Le Blanc, Pascale Eindhoven Univ Technol NL-5600 MB Eindhoven Netherlands

ISBN: (纸本)9783031654107;9783031654114

With the introduction of robots in manufacturing, the imperative of continuous workplace learning emerges as a cornerstone for acquiring new knowledge and skills. While technical competence development plays a crucial role in understanding how the robot works and mastering skills like (re)programming the robot, this is not enough to create effective Human-Robot Collaboration (HRC). Organizational change frameworks emphasize the importance of preparing employees for change by increasing their readiness. However, current training practices frequently overlook this step. By combining different literature streams, we develop three propositions to guide the design of employee-centered HRC training. We propose that, in addition to training technical competencies (e.g., knowledge about robots), incorporating employee-centered components (e.g., fostering employee readiness) and promoting HRC skills (e.g., coordination) are essential for effective HRC training. Further, the implementation of robots in the workplace is a process in which training should be provided to employees throughout the different phases. this challenges current practices in which training is seen as a one-time event. the present paper aims to advance our understanding of HRC training and encourages the integration of technical and employee-centered elements when designing training for HRC. this will help design successful training initiatives and, thereby, support employee adaptation and organizational functioning when introducing robots in the workplace.

关键词： Human-Robot Collaboration Employee-centered Training design

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