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检索条件"任意字段=7th International Conference on Computing in Engineering and Technology, ICCET 2022"

共 11333 条记录，以下是1211-1220 订阅

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Harnessing the Power of Blockchain to Create a Decentralized E-Voting Infrastructure for Modern Democracies 7

Harnessing the Power of Blockchain to Create a Decentralized...

引用

7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Aswin Kumar, E. Kumar Parihar, Aman Gowtham, R. Gadli, Ibrahim Prasath, R. Kumar, Ashok KCG College of Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350372816

In the contemporary age of digital transformation, it is imperative to safeguard the authenticity and confidentiality of electoral processes to uphold democratic ideals. the conventional methods of voting often face various challenges, including fraud, tampering, and lack of transparency. this academic research offers a detailed exploration and idea of online voting system that utilizes blockchain technology. By capitalizing on the centralized and mutable characteristics of blockchain, the proposed system aims to hinder the security, transparency, and reliability of the voting process. By thoroughly examining the fundamental aspects of blockchain, the architecture of the system, security mechanisms, and potential applications, this paper delivers valuable insights into the transformative capabilities of blockchain-based online voting systems. through its examination of crucial concerns encompassing electoral governance, like data integrity and voter anonymity, this investigation contributes to the advancement of democratic practices in the digital era. © 2024 IEEE.

关键词： Decentralized finance

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Analysis and Performance Evaluation of various Artificial Intelligence techniques for Disease Prediction 7

Analysis and Performance Evaluation of various Artificial In...

引用

7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Asha, P. Refonaa, J. Jany Shabu, S.L. Rishi, S. Padma Suresh, L. Praveen, S. Sathyabama Institute of Science and Technology Computer Science and Engineering Chennai India Baselios Mathews II College of Engineering Computer Science and Engineering Kollam India

ISBN: (纸本)9798350372816

the framework of the proposed system utilizes AI, machine learning procedures and data handling methodologies to analyze, gather data and reports from clinics or patient facilities, and prognosticate reports that assist the outcomes used to foresee various kinds of infection and disease. the most recurrently occurring disease and its infection is the dominant source for the human's death. Clinical endlessly reports from different documents have been taken out to analyze and diagnose breast malignant growth or cancer, coronary or heart illness, and diabetes which are very frequent in present day people, and their wellbeing is significant in the finding. Today, propels in clinical innovation are assisting individuals with improving on the manner in which they give medical clinics and doctors' the most straightforward method for treating, oblige, and treat any infection they need. We have brought this sort of framework into our application, which can give positive and negative outcomes to make individuals' lives simpler to anticipate the sickness by bringing explicit data into their reports, and backing the theory of the infection with the choice of looking for exhortation good clinics and great specialists close to clients or guardians in our future enactments. © 2024 IEEE.

关键词： Logistic regression

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Multicast Routing Technique for Augmenting Routing Efficiency in Mobile WSN 7

Multicast Routing Technique for Augmenting Routing Efficienc...

引用

7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Anand, K. Rajkumar, M. Srikanth, M.S. Radhika, S. Department of Computer Science and Engineering Rajalakshmi Engineering College Tamil Nadu Chennai India School of Information Technology and Engineering VIT University Tamil Nadu Vellore India TNS India Foundation Karnataka Bangalore India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India

ISBN: (纸本)9781665464086

Mobile Wireless Sensor Network (MWSN) is an active network completely self-governing from a fixed structure. Also, MWSN has small channel bandwidth, great node movement, and inadequate battery energy. In WSN, flooding raises the reliability regarding successful communication of a packet with greater overhead. the flooding consumes the network's resources quickly, especially in terms of the lifetime of the node and energy, etc. Unicast routing creates an extra overhead and increases energy consumption because unicast routing mainly focuses on only minimum distance. But, multicasting is used when the desired destination is at maximum distance and increases the network's reliability in terms of throughput. this paper's objectives are to develop an efficient and reliable protocol using multicasting and unicasting to overcome the issue of higher overhead due to flooding. Multicast Routing Technique for Augmenting (MRTA) routing efficiency in MWSN is introduced. this method aims to enhance the link stability of the route for raising the route lifetime and diminishing the routing load. this method discovers the stable path from several ways to decline the overhead and delay between the sender and receiver. Simulation results demonstrate that this approach improves the network lifetime increases the throughput, and minimizes the routing load in the MWSN. © 2023 IEEE.

关键词： Multicasting

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Design and Application of Temperature Control System Based on Fuzzy PID Algorithm 7

Design and Application of Temperature Control System Based o...

引用

7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Wang, Jianpeng Lu, Zhongliang Wang, Gaojie Jiangxi University of Science and Technology College of Information Engineering Ganzhou China Guangdong Shunde Innovation Design Institute Department of Electronic Information Foshan China

ISBN: (纸本)9781665478571

In order to improve the control accuracy, response speed, anti-interference ability and adaptive ability of the temperature control system in the PCR amplification reaction stage during the detection of African swine fever (ASF) virus, a temperature control system based on fuzzy PID control algorithm was designed. the system combines the fuzzy theory with the traditional PID control theory, which makes up for the shortcomings of the traditional PID algorithm, such as difficulty in parameter tuning, slow response speed, and weak self-adaptive ability. the mathematical model was established and tested by MATLAB software. At the three temperatures of 25°C, 64°C and 85°C required by the PCR amplification reaction, the time taken by the fuzzy PID control algorithm to reach the target temperature was shortened compared with the traditional PID control algorithm. More than 32s, and the recovery time is more than 23s after adding external interference, which meets the requirements of temperature control accuracy, response speed, anti-interference ability and adaptive ability required by PCR reaction in the process of African swine fever (ASF) virus detection. the results highlight the fuzzy Compared with the traditional PID control algorithm, the PID control algorithm has the advantages of temperature control. © 2022 IEEE.

关键词： Polymerase chain reaction

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Mathematical Transformations in Game theory: Wavelet vs. Fourier Transforms 24

Mathematical Transformations in Game Theory: Wavelet vs. Fou...

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2024 7th international conference on Computer Information Science and Artificial Intelligence, CISAI 2024

作者： Ayari, Mohamed Klai, Zeineb Hammami, Mohamed Ali Faculty of Computing and Information Technology Northern Border University Rafha Saudi Arabia Syscom Laboratory National Engineering School of Tunis University of Tunis El-Manar Tunis Tunisia Faculty of Sciences of Sfax University of Sfax Sfax Tunisia

ISBN: (纸本)9798400707254

this paper explores the intersection of game theory and mathematical transformations, specifically wavelet and Fourier transforms. We examine the foundational principles of game theory and introduce the mathematical bases of wavelet and Fourier transforms. By comparing these transformations, we uncover their unique strengths in enhancing game theoretical models. Wavelet transforms excel in dynamic, multi-scale scenarios due to their localization properties, while Fourier transforms are effective in periodic, stationary environments. Our analysis highlights the complementary nature of these transforms, proposing hybrid approaches for optimizing strategies and predicting outcomes in complex games. this study underscores the potential for interdisciplinary research to advance strategic decision-making. © 2024 Copyright held by the owner/author(s).

关键词： Wavelet transforms

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Prioritizing the development of computing identities through a middle school computer science integration program 6

Prioritizing the development of computing identities through...

引用

6th international conference on Research in Equitable and Sustained Participation in engineering, computing, and technology, RESPECT 2022

作者： Peterson, Lana Scharber, Cassandra Avadhanam, Rukmini Manasa Faruqi, Farah University of Minnesota L+T Collaborative Saint Paul United States University of Minnesota Curriculum & Instruction Saint Paul United States

ISBN: (纸本)9781665471145

In an effort to broaden participation in computer science education, a school district built a K-12 pathway with an immersive computer science experience at the middle school level. Approximately sixty students at both the 6th and 7th grade levels participate in a computer science elective as well as core content areas of health, art, social studies, and language Arts with computing integrated within. this experience paper will overview the design and development of a program with the goal of developing computing identities in Black, Hispanic, and Asian students through immersive computer science experiences. Using observations of lessons and planning meetings, interviews with students and staff, and analysis of course documentation we will describe the evolving program thus far. Specifically we will detail the tensions and solutions of prioritizing the experience of underrepresented populations of students through recruitment, pedagogy, student feedback, professional development, and navigating school systemic exclusionary mechanisms. © 2022 IEEE.

关键词： Students

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Remotify: the Emergency Remote Learning Solution using Learning Analytics 7

Remotify: The Emergency Remote Learning Solution using Learn...

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7th IEEE international conference for Convergence in technology, I2CT 2022

作者： Amarasinghe, S.N. thalakumbura, T.M.D.D. Wijewardena, M.D.N.K. Perera, D.H. Manathunga, Kalpani Senaweera, Oshada Sri Lanka Institute of Information Technology Faculty of Computing Malabe Sri Lanka

ISBN: (纸本)9781665421683

Current pandemic situation has manipulated people to adapt to a new normal forcefully and due to the same reason education system is also evolving but the actual question is how productive the new methodologies utilized are. E-learning is not a novel concept but is becoming a necessity and the proposed platform could be identified as a direct response to the current emergency. this can also be known as an "ERT"situation;a shift of instructional delivery to an alternate delivery method in response to a crisis situation. the main intention in these situations is not to recreate a robust educational system but to provide access to institutions in a manner that is easy to set up and is dependable during an emergency while outperforming both E-learning & traditional classroom methods. To provide a solution to overcome barriers faced in a pandemic situation in a virtual classroom, the implemented system is encapsulated with a dashboard centralizing facts gathered from audio & video analyzing components which are analyzed against student performance utilizing personalized assessing techniques to deliver learning analytics. © 2022 IEEE.

关键词： E-learning

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High-speed Train Intelligent Maintenance Pattern and Edge-computing Perception Model 23

High-speed Train Intelligent Maintenance Pattern and Edge-co...

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23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Sun, Peng Zhang, Weijiao Jia, Zhikai Institute of Computing Technology China Academy of Railway Sciences Beijing China

ISBN: (纸本)9781665494571

Aiming at the key requirements for the advanced security risks prevention and the smart-precise maintenance management of high-speed trains, given the EMU (Electric Multiple Units) trains management characteristics such as complex dynamic and static scenarios, business collaboration, and cross-specialty cooperation in conurbation transportation, a 'Cloud-Edge-Terminal' architecture of intelligent EMU maintenance, an IoT data collection system, and its maintenance organization patterns are researched;an FSM-based (Finite State Machine based) intelligent maintenance edge-perception model and related state transition definition are proposed;which support big-data analysis and intelligent maintenance decision for EMU. A simulation experiment was performed to verify the efficiency, stability, and availability of the system and method in this paper. It has important significance for railway rolling stocks maintenance and other vertical industries that need intelligent reengineering. © 2021 IEEE.

关键词： Systematics Computational modeling Transportation Organizations Data models Stability analysis Rail transportation

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Flow-Level Bandwidth Allocation on P4 Tofino Switch with In-Network DRL Inference

Flow-Level Bandwidth Allocation on P4 Tofino Switch with In-...

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7th international conference on Artificial Intelligence in Information and Communication, ICAIIC 2025

作者： Irfan, Muhammad Hu, Hang Lee, Myung J. Qadeer, Arslan Kim, Yang G. Ahmed, Kazi Nobayashi, Daiki City College of New York Department of Electrical Engineering New YorkNY10031 United States School of Computing & Data Science Wentworth Institute of Technology BostonMA02115 United States NYCCT Department of Computer Engineering Technology BrooklynNY11201 United States NYIT Department of Electrical & Computer Engineering Technology New YorkNY10023 United States Kyushu Institute of Technology Department of Electrical and Electronic Engineering Fukuoka804-8550 Japan

ISBN: (纸本)9798331507022

the Software-Defined Networking (SDN) paradigm has significantly improved network efficiency by integrating machine learning (ML) capabilities into the control plane (CP). this integration allows adaptive management of network resources in response to dynamic traffic conditions. However, the significant geographical distance between the CP and data plane (DP) causes considerable round-trip latency, measured in milliseconds, which poses a major challenge to time-sensitive traffic. To address this challenge, our research proposes a novel in-network Reinforcement Learning (RL) inference framework. this framework extends programmability from the CP to the DP, enabling timely and precise control of network resources to meet the stringent Quality of Service (QoS) requirements of mission-critical applications. the in-network RL inference is implemented using match-action tables within the Protocol Independent Switch Architecture (PISA) framework in the DP and validated through hardware deployment of protocol-independent packet processors (P4). To allocate bandwidth precisely based on QoS requirements, a P4 meter extern is used to differentiate the unique demands of individual traffic flows. Our enhanced deep-deterministic policy gradient (eDDPG)-based RL inference achieves superior performance with minimal processing overhead, reducing latency by 88.7% and jitter by 89.1 % compared to systems without RL inference. © 2025 IEEE.

关键词： Quality of service

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Text2FashionGAN: Augmenting Personalized Style Recommendations with cGANs and Word2Vec 7

Text2FashionGAN: Augmenting Personalized Style Recommendatio...

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7th international conference on Electronics, Communication and Aerospace technology, ICECA 2023

作者： Madhan, S. Neha, B. Neemkar, Sandeep Abhishek, S. Anjali, T. Amrita School of Computing Department of Computer Science and Engineering Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (纸本)9798350340600

Generative Adversarial Networks (GANs) have taken on a significant role in the fashion industry, influencing how designers develop and how consumers interact with fashion. this research introduces an innovative application that uses GANs and word embedding techniques to show the importance of GANs in the fashion industry to create fashion illustrations based on written descriptions. First, the significance of word embedding for understanding the linguistic connections between words is discussed. then, GANs' significance in the fashion industry is explained, highlighting their function in trend prediction and creativity. Next, the novel method, Text2FashionGAN which uses GAN technology and word embedding to create fashion images from text inputs is explained. Text2FashionGAN helps people find trends that suit their tastes while enabling designers to easily generate ideas by bridging the text-to-image gap. With the revolutionary potential of GANs and the practicality of textual descriptions, this method revolutionizes fashion recommendations for both designers and consumers. © 2023 IEEE.

关键词： Generative adversarial networks

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