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Blockchain Technology for Enhanced Business Management 10

Blockchain Technology for Enhanced Business Management

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10th IEEE Uttar Pradesh Section international conference on Electrical, Electronics and computer Engineering, UPCON 2023

作者： Naved, Mohd Jain, Mini Reddy, V Venkat Singla, Atul Shakir, Aboothar Mahmood Rajalakshmi, B. Soil School of Business Design Haryana Manesar India Institute of Business Management Gla University Uttar Pradesh Mathura India Institute of Aeronautical Engineering Hyderabad India Lovely Professional University Phagwara India The Islamic University Najaf Iraq New Horizon College of Engineering Department of Computer Science Bangalore India

ISBN: (纸本)9798350382471

this empirical study investigates how blockchain technology is revolutionizing corporate management in a dynamic way. Blockchain-based technologies have drawn a lot of interest as well as started revolutionizing a number of industries. Driven by contemporary programming and technological infrastructure., the introduction of blockchain technology has brought about new opportunities for company strategy and commercial operations. Blockchain has the ability to improve transparency and transform cross-organizational business processes because of its safe and decentralized design. the paper explores the important consequences of integrating blockchain technology with business process management (BPM). the use of blockchain in business process management (BPM) has prospects for improved information accuracy, higher client happiness, and increased efficiency. Technology plays a particularly significant role in the fourth industrialization phase since it is in accordance with Industry 4.0 concepts as well as facilitates digital transformation and efficient business processes. the study does, however, highlight the difficulties associated with employing blockchain technology, such as issues with scalability, data security, and legal compliance. the study highlights that in order for organizations to fully utilize blockchain technology, feasibility investigations and solutions to these issues must be implemented. the study's conclusion recognizes blockchain's bright future in business process management and its capacity to solve important organizational issues. Blockchain technology possesses the potential to revolutionize corporate operations as well as procedure management by providing cutting-edge solutions to a wide range of sectors as it develops further. © 2023 IEEE.

关键词： Blockchain Technology Business Management Digital Contract Operations Fourth Industrialization Inter-Organizational Business Processes

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How People Get Peak Experience When they Using TV? 10th

How People Get Peak Experience When They Using TV?

引用

10th international conference on Distributed, Ambient and Pervasive Interactions (DAPI) Held as Part of the 24th international conference on Human-computer Interaction (HCII)

作者： Wang, Kun Huang, Bilan Bu, Hanxu Samsung Elect R&D Ctr Nanjing Jiangsu Peoples R China

ISBN: (纸本)9783031054631;9783031054624

Peak experience, as an important theoretical tool, is also widely used in experience design. Current research on peak experiences directly applies this theoretical paradigm to emphasize the importance and design optimization of users' experience of critical moments, but rarely related research on the emotional experience ofTVuse of critical moments. therefore, research on emotional factors for smart TV peak experiences is necessary. this paper proposes a performance study based on typical TV user, summarizing the method for guiding design direction to obtain the corresponding peak experience. First, through case analysis and user research, combined with questionnaire surveys to obtain the peak experience description of using TV;Second, through the study, the triggering factors of the TV peak experience are summarized. Finally, based on in-depth interviews, the corresponding relationship between triggering factors and emotional description is obtained, forming a systematic TV peak experience optimization system and tool to help designers better apply in practice. this study provides amethod of obtaining a user experience described in connection with psychology, combined with the sharing concept, obtain the thinking method of contact emotion and design, for the experience design, especially the user-oriented product experience design has highlighted value, and expands the influence of peak-end rule in the design area.

关键词： Peak experience Experience design TV

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design and Optimization of Low-Power VLSI Circuits for IoT Devices 10

Design and Optimization of Low-Power VLSI Circuits for IoT D...

引用

10th IEEE Uttar Pradesh Section international conference on Electrical, Electronics and computer Engineering, UPCON 2023

作者： Saxena, Aditi Haripriya, D. Madan, Parul Srivastava, Arun Pratap Shalini, N. Kumar, Anil Gla University Department of Electronics and Communication Engineering Mathura India R&d Institute of Science and Technology Veltech Ranagarajan Dr.Saguntala Department of Cse Tamilnadu Chennai India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India Lloyd Institute of Engineering and Technology Greater Noida India Institute of Aeronautical Engineering Department of Computer Science and Engineering Telangana Hyderabad India Lloyd Law College Greater Noida India

ISBN: (纸本)9798350382471

the proliferation of IoT devices has changed the way we engage with the physical environment. However, because of their widespread use, energy economy and environmentally responsible operations are given special consideration. this study explores the 'design and Optimization of Low-Power VLSI Circuits for IoT Devices,' with an eye on striking a good power-to-performance ratio. Our research takes a holistic strategy, investigating architecture, optimizing at the transistor level, honing algorithms, and incorporating Internet of things (IoT)-centric concerns. the findings stress the significance of low-power VLSI circuit design for Internet of things gadgets. Voltage and frequency scaling are two examples of architectural options that may significantly cut power consumption without sacrificing performance. Optimising transistors, in particular via scaling voltage, results in substantial energy savings and increased device lifespan. Using evolutionary algorithms shows how algorithmic optimization may help cut down on power use without sacrificing performance. In addition, the unique requirements of IoT applications stress the need of context-aware circuit design, with an emphasis on maximizing battery life and minimizing environmental impact. By highlighting the trade-offs between power and performance, comparative assessments help direct IoT deployments towards becoming both cost-effective and energy-efficient. In conclusion, our study provides valuable takeaways that have far-reaching consequences across a range of industries. More sustainable and cost-effective practices should be expected from IoT service providers and developers, while users can look forward to longer battery life and greater device dependability. this work is in line with global sustainability initiatives and will help create an Internet of things that is less harmful to the environment. As the Internet of things (IoT) grows in popularity, our studies will be a light pointing the way to a more pr

关键词： Adaptive circuits Battery modelling Energy efficiency Frequency scaling Genetic algorithms Heterogeneous multi-core Low-power design Power modelling Transistor-level optimization VLSI circuits Voltage scaling

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design and Development of a Real-Time IoT Infrastructure for a future workspace - Energy efficiency and sustainability 17

Design and Development of a Real-Time IoT Infrastructure for...

引用

IEEE Congress on Cybermatics: 17th IEEE international conference on Internet of things, ithings 2024, 20th IEEE international conference on Green Computing and Communications, GreenCom 2024, 17th IEEE international conference on Cyber, Physical and Social Computing, CPSCom 2024, 10th IEEE international conference on Smart Data, SmartData 2024

作者： Saadaoui, Hamza Rabii, Hajer Tulumen, Zeynep Amaris Research Unit Paris France

ISBN: (纸本)9798350351637

the pursuit of energy-efficient and sustainable buildings is increasingly reliant on innovations in IoT technologies, cloud computing, and advanced machine learning. In this paper, we present a comprehensive hardware and software architecture designed to collect sensor data and store it in the cloud, setting the stage for enhanced data-driven applications in smart buildings. the paper covers technical choices and implementation specifics, emphasizing the integration of diverse data sources into a unified cloud-based framework. the ultimate objective is to achieve real-time monitoring, create predictive models for energy consumption, and implement automated building control. these efforts lay the groundwork for advanced data-driven decision-making strategies to conceive sustainable and energy efficient smart workspaces. © 2024 IEEE.

关键词： Green buildings

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Research of GaN HEMT Against High-Power Microwave Radiation 10

Research of GaN HEMT Against High-Power Microwave Radiation

引用

IEEE 10th Asia-Pacific conference on Antennas and Propagation (APCAP)

作者： Fei, Xinxing Wang, Yong Sun, Biao Wang, Zhan China Shipbldg Ind Co 723 Inst China Shipbldg Yangzhou Peoples R China

ISBN: (纸本)9781665489546

High power microwave damage mechanism of conventional GaN HEMT was investigated by TCAD simulation. the conventional GaN HEMT devices will burn out within 100 ns when the gate injection voltage, frequency of 1 GHz, reaches 130 V. Under the action of HPM, a coupling voltage will appears at the gate electrode of the conventional GaN HEMT. With the periodic change of the coupling voltage, the peak temperature of the device presents a periodic rising trend. the gate current and the peak temperature of the device present a certain degree of positive correlation.

关键词： HEMT Technology computer aided design (TCAD) high power microwave (HPM)

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A Simple End-to-End computer-aided Detection Pipeline for Trained Deep Learning Models 8th

A Simple End-to-End Computer-Aided Detection Pipeline for Tr...

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8th international conference on Engineering of computer-Based Systems, ECBS 2023

作者： Kahraman, Ali Teymur Fröding, Tomas Toumpanakis, Dimitrios Fridenfalk, Mikael Gustafsson, Christian Jamtheim Sjöblom, Tobias Department of Immunology Genetics and Pathology Uppsala University Uppsala Sweden Department of Radiology Nyköping Hospital Nyköping Sweden Neuroradiology Karolinska University Hospital Stockholm Sweden Department of Surgical Sciences Uppsala University Uppsala Sweden Department of Game Design Uppsala University Gotland Visby Sweden Department of Hematology Oncology and Radiation Physics Skåne University Hospital Lund Sweden Department of Translational Medicine Medical Radiation Physics Lund University Malmö Sweden

ISBN: (纸本)9783031492518

Recently, there has been a significant rise in research and development focused on deep learning (DL) models within healthcare. this trend arises from the availability of extensive medical imaging data and notable advances in graphics processing unit (GPU) computational capabilities. Trained DL models show promise in supporting clinicians with tasks like image segmentation and classification. However, advancement of these models into clinical validation remains limited due to two key factors. Firstly, DL models are trained on off-premises environments by DL experts using Unix-like operating systems (OS). these systems rely on multiple libraries and third-party components, demanding complex installations. Secondly, the absence of a user-friendly graphical interface for model outputs complicates validation by clinicians. Here, we introduce a conceptual computer-aided Detection (CAD) pipeline designed to address these two issues and enable non-AI experts, such as clinicians, to use trained DL models offline in Windows OS. the pipeline divides tasks between DL experts and clinicians, where experts handle model development, training, inference mechanisms, Grayscale Softcopy Presentation State (GSPS) objects creation, and containerization for deployment. the clinicians execute a simple script to install necessary software and dependencies. Hence, they can use a universal image viewer to analyze results generated by the models. this paper illustrates the pipeline's effectiveness through a case study on pulmonary embolism detection, showcasing successful deployment on a local workstation by an in-house radiologist. By simplifying model deployment and making it accessible to non-AI experts, this CAD pipeline bridges the gap between technical development and practical application, promising broader healthcare applications. © 2024, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Pipelines

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design of programmable filter based on microcontroller 10

Design of programmable filter based on microcontroller

引用

2024 10th international conference on Applied Materials and Manufacturing Technology, ICAMMT 2024

作者： Lv, Meimei Wang, Jigang Liu, Shizhe Qiao, Lufeng Jiangsu Automation Research Institute Jiangsu Lianyungang222000 China

the system is designed with a microcontroller (AT89S52) as the core, developed based on the Keil 51 software system, combined with LCD display and necessary peripheral circuits to form a programmable controlled high-precision filter. the system mainly consists of the amplifier module, filter module, parameter setting and LCD display module, and amplitude-frequency characteristic testing module. the programmable control of the amplifier consists of a D/A converter DAC0832 and a programmable filter MAX262. By setting the amplifier and filter parameters on the keyboard, the gain and step adjustment can be achieved with high accuracy. the amplitude-frequency characteristic test signal source is implemented by DDS. Due to the use of a software operating system and a Chinese LCD module for display, this programmable filter provides a very user-friendly human-computer interaction interface. © Published under licence by IOP Publishing Ltd.

关键词： Liquid crystal displays

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Visual Perception Transformer: Robust image understanding on unseen transformations across wide-ranging dataset sizes 24

Visual Perception Transformer: Robust image understanding on...

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4th international conference on AI-ML Systems, AIMLSystems 2024

作者： Nair, Renju C. Gatreddi, Ashish Rao, Madhav Muralidharavn International institute of information technology Bangalore Karnataka Bengaluru India

ISBN: (纸本)9798400711619

Vision Transformers (ViT) have seen significant success across diverse computer vision tasks, aided by strategic architectural design and extensive data augmentation techniques that utilize numerous feature maps to capture object transformations. Nonetheless, the existing ViT architecture is inadequate in incorporating information from the full image, especially from the lower layers. Despite this, there has been minimal focus on this crucial aspect. In this research, we introduce the Visual Perception Transformer (VPT) architecture, which addresses the shortcomings of the conventional transformer framework by improving viewpoint invariance and facilitating effective learning from smaller datasets. VPT utilizes the affine transformation properties of capsule networks in conjunction with self-attention mechanisms to effectively integrate information from the entire image. On the Imagenet 1K dataset, the VPT achieves an accuracy rate of 88.6% on unchanged images and an accuracy of 71.1% on altered images without employing augmentation during the training phase. Additionally, when the VPT is trained on a reduced dataset, it converges faster and achieves greater accuracy than the traditional ViT. It is envisioned that VPT will be combined with advanced transformer architectures for a range of applications such as Optical Character Recognition (OCR) and Medical Imaging [8–10, 15, 20]. © 2024 Copyright held by the owner/author(s).

关键词： Contourlet transform

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thermoelastic damping in parallel piezoelectric bimorph 10

Thermoelastic damping in parallel piezoelectric bimorph

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2024 10th international conference on Applied Materials and Manufacturing Technology, ICAMMT 2024

作者： Liu, Ningning Zuo, Wanli Liu, Xuan School of Mechanical Engineering and Mechanics Ningbo University Zhejiang Ningbo315211 China School of Computer and Data Engineering Ningbo Tech University Zhejiang Ningbo315100 China

thermoelastic damping (TED) determines the upper limit of the quality factor. the accurate analysis of TED is critical for the design and research of microelectromechanical systems (MEMS). therefore, the accurate analysis of electromechanical coupling, which is one of the main coupling forms in MEMS systems, on TED is also of great significance. Piezoelectric materials facilitate the interplay between mechanical stress and electrical energy by the piezoelectric effect, thus enabling the synergistic integration of electromechanical systems. In this paper, an analytical model of TED for a parallel piezoelectric bimorph is proposed, and the convergence of the model is analyzed. the difference of TED on the thickness of the beam at fixed aspect ratios and fixed lengths, as well as the influence of piezoelectric effect and boundary conditions on TED, are discussed. © Published under licence by IOP Publishing Ltd.

关键词： Damping

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Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method 10

Decoding Visual Imagery from EEG Signals using Visual Percep...

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10th international Winter conference on Brain-computer Interface (BCI)

作者： Kwon, Byoung-Hee Lee, Byeong-Hoo Cho, Jeong-Hyun Jeong, Ji-Hoon Korea Univ Dept Brain & Cognit Engn Seoul South Korea Korea Univ Dept Artificial Intelligence Seoul South Korea

ISBN: (纸本)9781665413374

An electroencephalogram is an effective approach that provides a bidirectional pathway between user and computer in a non-invasive way. In this study, we adopted the visual perception data for training the visual imagery decoding network. We proposed a visual perception-guided network training approach for decoding visual imagery. Visual perception decreases the power of the alpha frequency range of the visual cortex over time when the user performed the task, and visual imagery increases the power of the alpha frequency range of the visual cortex over time as the user performed with the task. Generated brain signals when the user performing visual imagery and visual perception have opposite brain activity tendencies, and we used these characteristics to design the proposed network. When using the proposed method, the average classification performance of visual imagery with the visual perception data was 0.7008. Our results provide the possibility of using the visual perception data as a guide of the visual imagery classification network training.

关键词： brain-computer interface visual imagery visual perception deep learning

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