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the Role of Artificial Intelligence Algorithms in Personalized Design of Visual communication

The Role of Artificial Intelligence Algorithms in Personaliz...

引用

international conference on communication systems and Network Technologies (CSNT)

作者： Hongbo Sun Visual Communication Design Changchun Humanities College Changchun China

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Based on the problems of insufficient design innovation and low design efficiency in personalized visual communication design, this study uses the style transfer algorithm to apply a specific artistic style to the design and automatically generates visual elements with personalized characteristics. At the same time, Generative Adversarial networks (GAN) are used to create new patterns and color combinations and enhance the diversity of design, while ChatGPT is used to parse user needs and transform text descriptions into design concepts. In the process of implementing these methods, this paper collects and analyzes user data to build user portraits to understand their preferences and needs. this paper also uses a style transfer algorithm to combine user-favorite elements with design templates to generate preliminary design sketches. then GAN intervenes to generate new design elements and uses these elements to enrich and refine the design content. During the design process, the artificial intelligence model is continuously optimized based on user feedback to ensure that the final output design not only meets the user's personalized needs but is also highly innovative and attractive. Ultimately, these individually adjusted designs are output in an appropriate format for application in actual products or services. Based on comparative experiments, this paper found that personalized design is superior to traditional design methods in multiple key indicators: the average innovation score of personalized design is as high as 9.06, higher than the 6.89 of traditional design; the time required for personalized design is mainly concentrated between 20 and 30 minutes, while the time required for traditional design ranges from 30 to nearly 50 minutes and fluctuates greatly; the adoption rate of personalized design reaches a minimum of 90.2% and a maximum of 99.9%, while the adoption rate of traditional design is lower, with a minimum of only 75.2% and a maximum of only 88.7%.

关键词： Industries Technological innovation Visualization Visual communication Image color analysis Transforms Generative adversarial networks User experience Global communication Artificial intelligence

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Construction of Medical Big Data Processing and Service Framework for Digital Intelligent Transformation

Construction of Medical Big Data Processing and Service Fram...

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international conference on Computational Intelligence and communication networks (CICN)

作者： Chuanyang Zhang Yufei Pang Yu Guo School of Business and Management Jilin University Changchun CHINA

ISBN: (纸本)9781665487726

From the perspective of medical big data utilization, analyze the current situation of China's medical informatization development, build a medical big data processing and service framework for digital and intelligent transformation, and provide new ideas and methods for medical informatization and intelligent medical development. Based on information life cycle management theory, combined with a large number of literature research, a medical big data processing and service framework is constructed. the framework discusses the functions of the original data module, data collection module and integrated system module, and further expounds the content and application of digital intelligent medical services.

关键词： Industries Layout Medical services Big Data User experience Digital intelligence communication networks

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Malleability Techniques for HPC systems 1

引用

14th international conference on Parallel Processing and Applied Mathematics, PPAM 2022

作者： Carretero, Jesus Exposito, David Cascajo, Alberto Montella, Raffaele Universidad Carlos III de Madrid. Departamento de Informática Madrid Leganes Spain Naples Italy

ISBN: (数字)9783031304453

ISBN: (纸本)9783031304446

Abstract the current static usage model of HPC systems is becoming increasingly inefficient due to the continuously growing complexity of system architectures, combined with the increased usage of coupled applications, the need for strong scaling with extreme scale parallelism, and the increasing reliance on complex and dynamic workflows. Malleability techniques adjust resource usage dynamically for HPC systems and applications to extract maximum efficiency. In this paper, we present FlexMPI, a tool being developed in the ADMIRE project that provides an intelligent global coordination of resource usage at the application level. FlexMPI considers runtime scheduling of computation, network usage, and I/O across all system architecture components. It can optimize the exploitation of HPC and I/O resources while minimizing the makespan of applications in many cases. Furthermore, FlexMPI provides facilities such as application world recomposition to generate a new consistent state when processes are added or removed to the applications, data redistribution to the new application world, and I/O interference detection to migrate congesting processes. We also present an environmental use case co-designed using FlexMPI. the evaluation shows its adaptability and scalability. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Complex networks

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Live Feed Emotion Detection During Project Meetings To Estimate Possible Success of Projects

Live Feed Emotion Detection During Project Meetings To Estim...

引用

international conference on Computational Intelligence and communication networks (CICN)

作者： Zeenat AIKassim Learning Technologies Department National Talents Company Khobar Saudi Arabia

ISBN: (纸本)9781665487726

this paper describes a method done to collect emotions from people's faces during project meetings in one of the companies. the work includes the built algorithm and the working of the system, including the live feed display of the information, basically the emotions detected. the work describes the handling of a large number of images captured consecutively throughout the working hours. the algorithm was built using Support Vector Machine and Image processing. Other tools were used for displaying the live results. this research can result in valuable conclusions for companies to help in estimation of the success rate of projects, based on the emotions detected during project meetings.

关键词： Support vector machines Emotion recognition Image processing Estimation Companies Feeds communication networks

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A Large Deviations Model for Latency Outage for URLLC 15th

A Large Deviations Model for Latency Outage for URLLC

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15th international conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2022

作者： Elayoubi, Salah Eddine Naddeh, Nathalie Chahed, Tijani Ben Jemaa, Sana Université Paris Saclay CentraleSupelec L2S CNRS Gif-Sur-Yvette France Institut Polytechnique de Paris Telecom SudParis Palaiseau France Orange Labs Chatillon France

ISBN: (纸本)9783031312335

In this paper, we develop an analytical model for radio resource dimensioning for latency-critical services in 5G networks. URLLC (Ultra-Reliable Low Latency communications) service is introduced in the 5G networks to respond to the requirements of critical applications such as self driving cars, industry 4.0, etc. Its stringent requirements in terms of latency and reliability are challenging to meet and are usually tackled by resource over-dimensioning. In this paper, we develop large deviation bounds for the outage probability i.e., the probability that the packet delay exceeds a given target. Our numerical applications show that the bounds are sufficiently tight for mastering over-dimensioning. We then develop a resource dimensioning framework based on the developed bounds and apply it to a large scale system level simulator. Our simulation results show that the developed model, when coupled with field-based radio condition distributions, allows achieving the reliability targets with acceptable cost in terms of resource consumption. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： 5G mobile communication systems

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Energy-Efficient Stable Election Protocol for IoT-Based Healthcare systems Using Wireless Sensor networks

Energy-Efficient Stable Election Protocol for IoT-Based Heal...

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international conference on Computing and Networking Technology (ICCNT)

作者： Monika Pahuja Dinesh Kumar Dept. of Computer Science and Engineering Maharaja Ranjit Singh Punjab Technical University Bathinda Punjab India

IoT integrated with WSN has become a pivotal force in healthcare, embodying a multitude of transformative applications. A protocol for analyzing data in the context of healthcare utilization is one definition of it, wherein a WSN must offer more dependable routing. As a result, there is a requirement to improve a technique in the healthcare industry that optimizes communication rates and increases dependability. this article presents a new approach for the purpose of routing data packets (DPs) to enhance the dependability of IoT-based WSNs for the Healthcare System (HCS). the study methodology takes into account the behaviour of HCSs as well as the significance of energy consumption (EC), packet delivery rate (PDR), and end-to-end delay (E2D). To accomplish the routing procedure, the research methodology incorporates several situations, such as residual energy (RE) and distance (d) from neighbours. the outcomes of designing the proposed Energy-Efficient Stable Election Protocol for IoT-based WSN in Healthcare systems (EESBOP) protocol demonstrate its favourable performance compared to the I-SEP (Improved Stable Election Protocol) protocol. Additionally, the protocol is effective in achieving its goals of preserving the high quality of DPs that are delivered to the destination and maximizing the efficiency of EC within the HCS. the results of the experiments show that the study protocol beats both the EESBOP and I-SEP protocols. As a result, the throughput of the network is improved by 4%, and the rate at which packets are delivered is increased by 98.9%.

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Deep Learning Algorithms in Chest Images for Pneumonia Detection

Deep Learning Algorithms in Chest Images for Pneumonia Detec...

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international conference on Computational Intelligence and communication networks (CICN)

作者： Fernando Tello Porras Ciro Rodriguez Diego Rodriguez Pedro Lezama Ricardo Inquilla Yuri Pomachagua Software Engineering Department Universidad Nacional Mayor de San Marcos UNMSM Lima Peru Medicine Faculty of Health Sciences Universidad Peruana de Ciencias Aplicadas UPC Lima Peru Systems Engineering Department Universidad Nacional Federico Villarreal UNFV Lima Peru Systems Engineering Department Universidad Nacional de Cañete UNDC Lima Peru

ISBN: (纸本)9781665487726

Pneumonia has become the respiratory disease that continuously causes deaths in the world; as a response to this serious problem, a literature review is performed to identify Deep Learning classification models for pneumonia detection with an accuracy higher than 95%. For the identification of the models, different architectures such as InceptionV3, MobileNet, MobileNetV2 Xception, VGG16, VGG19, DenseNet201, NasnetMobile, CNN, and LSTM were evaluated. Although they all show very acceptable accuracy indicators, which justifies their evaluation for model identification, the datasets were evaluated with chest X-ray images in different categories. As a result, it was determined that ResNet152V2 achieved an accuracy of 99.22%, which is considered one of the best models for pneumonia detection.

关键词： Deep learning Training Measurement Computer languages Pulmonary diseases Bibliographies Graphics processing units

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Enabling Multimode SDM at Reduced Equalization Complexity via Optimized Elliptical Core Fibers 14

Enabling Multimode SDM at Reduced Equalization Complexity vi...

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14th conference on Next Generation Optical communication - Components Sub systems and systems

作者： Yadav, Rekha Barbosa, Fabio A. Li, Ming-Jun Ferreira, Filipe M. UCL Dept Elect & Elect Eng Opt Networks Grp London England Corning Inc Div Sci & Technol Corning NY 14831 USA

ISBN: (纸本)9781510684966;9781510684973

We identify an optimal ovality range for elliptical multimode fiber that support 45 spatial modes. these fibers significantly reduce intramode crosstalk by 11 dB over 10 km fiber length, while minimizing the group delay spread. A 32 GBd 16QAM dual polarization transmission over a 10 km fiber with crosstalk strength as -20 dB/km demonstrates that the DSP equalization requirements at the receiver are halved with optimized elliptical core fibers compared to circular core fibers. these findings suggest that elliptical core fibers are a promising solution for enabling low-complexity multimode fiber systems.

关键词： Space-division multiplexing SDM systems Elliptical core Multimode fibers DSP

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Securing Vehicular Ad-Hoc networks: Detection and Identification Algorithm of MITM Attacks

Securing Vehicular Ad-Hoc Networks: Detection and Identifica...

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Electrical Engineering (ICEENG), 12th international conference on

作者： Nourhan El. Alashkar Bassem Mokhtar Tawfik Ismail Wireless Intelligent Networks Center (WINC) Nile University Giza Egypt Computer and Network Engineering Department College of Information Technology UAE University Electrical Engineering Department Faculty of Engineering Alexandria University College of Engineering Taibah University Madinah Saudi Arabia Department of EAL National Institute of Laser Enhanced Sciences Cairo University Giza Egypt

ISBN: (数字)9798350343427

ISBN: (纸本)9798350343434

the communication between vehicles (V2V) and vehicles to infrastructure (V2I) plays a crucial role in the Vehicular Ad-hoc Network (VANET). Its aim is to enhance road safety, reduce traffic accidents, and improve traffic efficiency. this necessitates the exchange of critical information among vehicles, static roadside units (RSUs), and traffic control centers. this integration gives rise to Cooperative Intelligent Transport systems (C-ITS). However, the latency in wireless communication can have adverse effects on safety. To address this, vehicle advancements have led to the formation of platoons, enabling better latency control and safer driving. Nonetheless, platooning also exposes vehicles to significant risks, such as Man-In-the-Middle (MITM) attacks. these attacks can result in message delays, juggling, and drop-offs, particularly affecting time-sensitive messages like accident notifications. this research paper focuses on analyzing the impact of MITM attacks that cause message delays and proposes measures to detect and sever connections with malicious vehicles. By establishing secure paths, this solution aims to enhance VANET security and optimize network performance.

关键词： Wireless communication Vehicular ad hoc networks Traffic control Road safety Delays Safety Security

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Intrusion Classification for Cloud Computing Network: A Step Towards an Intelligent Classification System

Intrusion Classification for Cloud Computing Network: A Step...

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international conference on Computational Intelligence and communication networks (CICN)

作者： Kanda Alamer Abdulaziz Aldribi Department of Computer Science College of Computer Qassim University Buraydah Saudi Arabia

ISBN: (纸本)9781665487726

One of the most rapidly spreading areas of infor-mation technology is cloud computing. However, this raises sig-nificant security issues that entice burglars. this paper presents a machine learning-based framework for intrusion classification for cloud computing networks. It offers new capabilities derived from cloud network flow. By dividing the flow into windows of time, a method known as the Riemann Chunking Scheme computes these features. After experimenting with this dataset, we have extracted 40 features that best describe the problem of anomaly classification and improve the accuracy of the study on multilayer perceptron for anomaly classification in cloud network traffic

关键词： Cloud computing Telecommunication traffic Multilayer perceptrons Feature extraction Security communication networks Computational intelligence

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