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检索条件"任意字段=IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems"

共 18707 条记录，以下是91-100 订阅

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Implementaion of 3D Collaborative Object Detection systems using RGB-D Sensors

Implementaion of 3D Collaborative Object Detection Systems u...

引用

ieee international conference on Big data and Smart computing (BigComp)

作者： Jun, Sungwoo Baek, Jaeuk Do, Seungwon Lee, ChangEun ETRI Intelligent Convergence Res Lab Daejeon 34129 South Korea

ISBN: (纸本)9781665475785

Recently, artificial intelligence technology has been actively applied to the defense field. In this paper, we propose a method for collaboratively detecting objects on 3D coordinates based on data collected from various viewpoints by multiple RGB-D sensors to increase object detection rates in poor warfare environments. In Chapter 2, we describe the structure, design and implementation of our Collaborative Object Detection systems and present future research directions in Chapter 3.

关键词： artificial intelligence collaborative object military detection defense RGB-D battlefield

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Assessment and Integration of Relational databases, Big data, and Cloud computing in Financial Institutions: Performance Comparison 18

Assessment and Integration of Relational Databases, Big Data...

引用

18th international conference on Innovations in intelligent systems and Applications (INISTA)

作者： Ionescu, Sergiu-Alexandru Radu, Andreea-Oana Univ Econ Studies Dept Econ Informat & Cybernet Bucharest 010374 Romania

ISBN: (纸本)9798350368130

Adept data management, as well as analysis, hold an increasing significant role in fast progressing filed of financial modeling. This paper is based on major elements such as relational databases, big data and cloud computing, each of them is presented from a perspective concerning financial modeling. The proposed solution is based on our investigation into the usability of each technology, optimal contexts for their application, and the methods for effectively interconnecting them. Each element is described in terms of operational efficiency, integration and overall performance, with machine learning techniques as means of assessment. Besides the thorough presentation of these technologies, the paper includes an analysis of their implementation so as to improve financial modeling of financial institutions. The interconnectivity and the correct utilization of the application of this technologies may prove of utmost importance because of relational databases, big data, and cloud computing, which represent major data-driven elements for the business environment.

关键词： data Management Technologies Artificial Intelligence Decision Support Cloud computing Hadoop Spark

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Spatiotemporal data Access for Map Services based on R-star tree index and LSM tree 28

Spatiotemporal Data Access for Map Services based on R-star ...

引用

28th ieee international conference on intelligent Engineering systems (INES)

作者： Gatial, Emil Balogh, Zoltan Dolatabadi, Sepideh Hassankhani Slovak Acad Sci Inst Informat Dept Parallel & Distributed Comp Bratislava Slovakia Slovak Acad Sci Inst Informat Dept Modelling & Control Discrete Proc Bratislava Slovakia

ISBN: (纸本)9798350367607;9798350367591

The paper proposed an approach to building a scalable service for spatiotemporal data storage to be used in applications that require searching for localized data and possibility of scaling up the storage resources. The motivation for proposing this approach was enabling the localized data being overlayed over the map, while transferring only required data and minimize the latency time. The paper describes the architecture combining the R-star tree index and Log Structured Merge (LSM) tree methods. The implementation framework based on Erlang OTP is proposed to provide a basis for sustainability and resiliency.

关键词： Spatiotemporal database R-star tree LSM tree map services

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Enhancing Secure Communication in 6G-Enabled IoV through UAV and Control Center Integration 20

Enhancing Secure Communication in 6G-Enabled IoV through UAV...

引用

20th ieee international Wireless Communications and Mobile computing (ieee IWCMC) - Green and intelligent Communications

作者： Andreou, Andreas Mavromoustakis, Constandinos X. Batalla, Jordi Mongay Markakis, Evangelos Bourdena, Athina Mastorakis, George Song, Houbing Univ Nicosia Dept Comp Sci Nicosia Cyprus Warsaw Univ Technol Warsaw Poland Hellen Mediterranean Univ Dept Elect & Comp Engn Iraklion Crete Greece Hellen Mediterranean Univ Dept Management Sci & Technol Agios Nikolaos Crete Greece Univ Maryland Dept Informat Syst Baltimore MD 21250 USA

ISBN: (纸本)9798350361261;9798350361278

Integrating Unmanned Aerial Vehicles (UAVs) into the emerging sixth-generation and beyond (6G+) cellular networks as aerial base stations represents a significant technological advancement. This integration offers numerous benefits, including widespread accessibility, enhanced navigation, and simplified monitoring and management. A key element of this integration involves the instantaneous distribution of vital information throughout the transportation infrastructure. Characterized by their agility, mobility, and flexibility, UAVs play a crucial role in relieving data traffic loads, thereby offering additional access points. This function is essential for making prompt, precise, and well-informed decisions in intelligent Transportation systems (ITS), utilizing data-centric insights. Deploying versatile Road Side Units (RSUs) for secure data collection and dissemination requires a robust framework for safe data transfer. Ensuring data governance in the Internet of Vehicles (IoV) network relies heavily on specific interactions between trusted parties. In response, we introduce an advanced encryption approach to promote secure data exchange in ITS, thus supporting the confidential transfer of information in IoV communications. This innovative encryption method can also perform encryption and decryption of ciphertexts, encompassing confidential data and facilitating secure communication.

关键词： UAV cryptography IoV intelligent Transportation System ITS

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Research on the Application of intelligent computing and Trustworthy Machine Learning in Financial Complex systems 6

Research on the Application of Intelligent Computing and Tru...

引用

6th international conference on data-Driven Optimization of Complex systems (DOCS)

作者： Liu, Zhiyi Zhang, Kai Zheng, Yejie Xu, Shaohua Qu, Jiaxin Eastmoney Informat Co Ltd Eastmoney AI Res Inst Shanghai Peoples R China Shanghai Artificial Intelligence Lab Shanghai Peoples R China East China Univ Sci & Technol Shanghai Peoples R China

ISBN: (纸本)9798350377859;9798350377842

The complexity of financial systems and the rapid increase in data volume are making the use of intelligent computing and trustworthy machine learning more important in finance. This paper discusses how intelligent computing can be applied within complex financial systems and takes a deeper look at the theory behind trustworthy machine learning and how it is used in finance. By combining the structure of complex networks with the computing power of machine learning, the paper also explores the inner workings of large neural networks and considers how to apply the theory of dynamic systems to the tuning of these networks, to improve intelligent computing in complex financial systems. Experiments based on the "scientific intelligence + machine conjecture" approach were carried out for risk assessment and market forecasting. The results show that these technologies can improve how financial institutions manage risk, help investors get more reliable information about market trends, and meet the transparency needed for regulatory compliance. The use of intelligent computing and trustworthy machine learning in complex financial systems points to a future with lots of potential for innovation and new opportunities.

关键词： intelligent computing Trustworthy Machine Learning Financial Complex systems Fifth Paradigm

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Understanding the Errors in Product Test data and Correcting the data in Post-acquisition Analysis 4

Understanding the Errors in Product Test Data and Correcting...

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

作者： Chaudhari, Snehal Garg, Shaini Purandare, Kedar New Product Development L&T Electrical and Automation India

ISBN: (纸本)9798350306118

Accurate data acquisition plays a pivotal role during the execution of diverse maintenance, monitoring, and testing tasks involving switchgear equipment. This significance is particularly pronounced when dealing with extended site maintenance periods or conducting routine assessments of equipment health. In such scenarios, potential challenges arising from limitations in measurement instruments, human oversight, and shift scheduling for supervisors can introduce errors into the process of capturing data. This paper presents a methodology to identify the erroneous data and process for correction of acquired data. Further the GUI based Application is created for user friendly interface, wide accessibility, and cross platform compatibility. © 2023 ieee.

关键词： data acquisition

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An Improved Bayesian Learner Based on Optimized Kernel Density Estimation and Wasserstein Soft Ensemble Strategy 12

An Improved Bayesian Learner Based on Optimized Kernel Densi...

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12th ieee international conference on intelligent data acquisition and advanced computing systems: Technology and Applications, IDAACS 2023

作者： Ye, Zhiwei Liu, Yuanhu Lv, Jiazhi Liu, Yingying Wu, Zhenwei Bai, Wanfang School of Computer Science Hubei University of Technology China Fiberhome Telecommunication Technologies Co Ltd. China Xining Big Data Service Administration China

ISBN: (纸本)9798350358056

Bayesian classification is a common data analysis and modeling method in data mining. In this paper, an improved ensemble method and the optimized Kernel density estimation used to Bayesian classifier. Unlike the traditional Bayesian classifier in that the conditional possibility density is calculated by an assumed statistical model, our method estimated the possibility value without model assumption, they are obtained by kernel density estimator with optimized window width and the Wasserstein distance is used to solve the problem of how to cause the classifier difference in the integration process. The optimized window parameters are solveded by minimizing the Unbias Cross-Validation (UCV) objective function using Chaos-Particle Swarm Optimization (CPSO). Wasserstein distance is innovational used to evaluate the similarity between possibility distributions and generates weights of base classifiers. The final ensemble outputs are calculated by a soft voting strategy. The experimental results illustrate the effectiveness and improvements of the proposed method in terms of density curve fitting, ensemble ability, and overall classification accuracy. © 2023 ieee.

关键词： CPSO Ensemble Bayesian classifier Kernel density estimation Wasserstein distance

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Implementations of data Analysis Tools Into the Biomedical Modular System 12

Implementations of Data Analysis Tools Into the Biomedical M...

引用

12th ieee international conference on intelligent data acquisition and advanced computing systems: Technology and Applications, IDAACS 2023

作者： Kostolny, Jozef Blahova, Linda Sutora, David University of Zilina Faculty of Management Science and Informatics Zilina Slovakia

ISBN: (纸本)9798350358056

systems that utilise biological data typically necessitate a module with the capacity to analyse biomedical data. This article investigates the problem at the specified location and outlines the potential solutions at our disposal. Then, we'll examine the deployed technology. This technology has the potential to be bundled as a container for a microservice architecture and provides data analysis capabilities. Each module must contain fundamental features and capabilities, such as fuzzy machine learning and data mining methods. Similarly, this component must be able to generate an accurate report based on the results of its analysis. The primary benefit of such a system is its modularity, which enables quick adaptations and expansion for various data types, as well as simpler adaptation of the modules to newer technologies. © 2023 ieee.

关键词： Biobank D3.js dotNet IKVMdotNET Weka

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Angioplasty Virtual Reality Simulator: Modeling of Blood Flow in an Artery 12

Angioplasty Virtual Reality Simulator: Modeling of Blood Flo...

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12th ieee international conference on intelligent data acquisition and advanced computing systems: Technology and Applications, IDAACS 2023

作者： Alipova, Bakhyt Tokmukhamedova, Fatima Bolatov, Zhiger Daineko, Yevgeniya Ipalakova, Madina Tsoy, Dana International It University Mathematical and Computer Modeling 050040 Kazakhstan University of Kentucky Mechanical and Aerospace Engineering 40506-0503 United States International It University Research Activities 050040 Kazakhstan International It University International Affairs 050040 Kazakhstan International It University Computer Engineering 050040 Kazakhstan

ISBN: (纸本)9798350358056

Blood flow in human arteries considered as an important aspect of health care. Due to the large amount of difficulties conducting in-vivo experiments, the use of computational fluid dynamics (CFD) to simulate pulsatile flow in the blood artery has become a promising alternative approach. In this paper the 2-dimensional model of blood flow in the rectangular coordinates is formed by numerical approach and the simulation by Unity Engine is provided. The simulation showed that the blood flow was laminar within the artery. The velocity magnitude of blood was highest at the center of the artery and gradually decreased towards the walls due to the no-slip condition. These results are consistent with previous experimental and computational studies of blood flow in arteries. © 2023 ieee.

关键词： CFD compressible flow finite difference Navier-Stokes equation pulsatile blood flow simulation unity engine

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Anti-Lost Smart Buttons and Supervision Platform for the Elderly and Children Using Electronic Fences 2

Anti-Lost Smart Buttons and Supervision Platform for the Eld...

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2nd international conference on Computer Vision and intelligent Technology

作者： Chen, Junjie Yu, Fang Song, Guanxian Jiang, Yihuan Gu, Hongyu Tang, Guangcheng Xiangnan Univ Sch Comp & Artificial Intelligence Chenzhou Peoples R China

ISBN: (纸本)9798331540050;9798331540043

The prevalence of elderly individuals and children becoming lost is becoming increasingly acute. To address this pressing societal issue, we have developed an Anti-Lost Smart Button and Supervision Platform specifically designed for these vulnerable demographics, employing electronic fencing technology. This system integrates a smart button with a corresponding supervision platform, utilizing data obtained from the Beidou satellite navigation module, a 5G communication module, and various sensors embedded within the smart button to facilitate data transmission.

关键词： Beidou STM32 Virtual Electronic Fence intelligent Security Supervision Platform

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