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检索条件"任意字段=2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023"

共 3023 条记录，以下是401-410 订阅

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application of Virtual Reality Technology in 3D Landscape Design Simulation System 3

Application of Virtual Reality Technology in 3D Landscape De...

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3rd international conference on Digital data Processing, DDP 2023

作者： Qiao, Mu Sun, Hao Xi'an Academy of Fine Arts Department of Architecture and Environmental Art Shaanxi Xi'an710065 China

ISBN: (纸本)9798350329018

At this stage, although CAD software has had its advantages in 2D drafting, it has been unable to represent 3D models completely. The simulation system is devised by designing the three-dimensional landscape of the virtual reality technology, and the use of object-oriented parametric three-dimensional book body modelling can show the design scene in real-time. In this paper, the principles and implementation of system computing were introduced, and the OPenGI algorithm technology was described. Then, after applying the local algorithm, the whole function was further elaborated, and the simulation process of the professional module was discussed in detail. Finally, the validity of the system was verified by engineering examples. It is proved that the system design is effective. © 2023 ieee.

关键词： Virtual reality

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An Improved Attention Transfer Teacher-Student Model for Edge Deployment

An Improved Attention Transfer Teacher-Student Model for Edg...

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data science and computer application (icdsca), ieee international conference on

作者： Wenyu Qu Ealing International School Dalian China

Large-scale deep learning models have done really well in things like understanding language, recognizing images, and other areas. However, these models also bring challenges, including computational complexity and storage requirements, which will induce the difficulty to implement large-scale deep learning models on edge computing devices. This paper proposes an improved attention transfer teacher-student model and related distillation loss function and training strategy, which is a teacher-student model knowledge distillation method for attention transfer through class activation maps. Not only does the teacher model change its predictions, but it also shares its attention with the student model, the goal is to make sure the student model works like the teacher model, so that the former can successfully learn the teacher model and be deployed at the edge of resource constraints device. The test results on open source datasets initially show that this method can further compress models and is suitable for deployment on resource-constrained devices.

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Autonomous Mobile Sonobuoy and Its Combat application Prospect 3

Autonomous Mobile Sonobuoy and Its Combat Application Prospe...

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3rd ieee international conference on Information Technology, Big data and Artificial Intelligence, ICIBA 2023

作者： Sun, Ning Northwestern Polytechnical University School of Marine Science and Technology Xi'an China Jiangsu Automation Research Institute Lianyungang China

ISBN: (纸本)9781665490788

Autonomous mobile sonobuoy is designed to be launched in a tube and has the ability to fly autonomously by combining the Unmanned Aerial Vehicle (UAV) flying technology and sonobuoy. As it can be installed on all kinds of small and medium ships and unmanned platforms, Autonomous mobile sonobuoy can meet the long-distance and rapid perception requirements of the underwater battlefield situation as well as avoiding the dependence on high-value air delivery platforms. By introducing the development of UAVs technology and sonobuoy technology, the design method of autonomous mobile sonobuoy is proposed. Then the key technologies of autonomous mobile sonobuoy swarm operations are summarized, including the technology of swarm control, intelligent decision-making, network detection and so on. Furthermore, the application of autonomous mobile sonobuoy swarm in wide-area cooperative detection, precise location and effect evaluation is prospected. The results can provide references for the demand analysis, design and application of autonomous mobile sonobuoy swarm. © 2023 ieee.

关键词： Unmanned aerial vehicles (UAV)

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A theory of causal inference based on additive noise model and its application to radiological security projects 3

A theory of causal inference based on additive noise model a...

引用

3rd ieee international conference on Power, Electronics and computer applications, ICPECA 2023

作者： Jiahan, Huang Yaping, Wan Hua, Zhong University of South China School of Computer Hengyang China

ISBN: (纸本)9781665472784

Security is particularly important in the process of radioactive material transportation. In order to solve the impact of the uncertain dynamic characteristics of the actual system and the complex uncertain noise containing in the target tracking and positioning of BDS(BeiDou Navigation Satellite System), an algorithm of causal inference is constructed to explain and deal with the state estimation method of the complex uncertain noise system. The measurement of noise variance is performed by using the covariance matching principle and real-time updated noise data with additive measurement noise of the system. an adaptive process detection model is proposed for the modeling problem of the Kalman filter. In comparing and testing the models, The adaptive process measurement model can give ideal estimation results regardless of the initial value of the measurement noise variance in the results. The paper demonstrates that the adaptive process measurement model has good robustness and is highly effective in dealing with state estimation problems for systems with noise which is complex and uncertain. © 2023 ieee.

关键词： Additives

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A Parallel Directed Acyclic Graph Blockchain Ledger and Consensus Algorithm for Industrial Internet of Things 3

A Parallel Directed Acyclic Graph Blockchain Ledger and Cons...

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3rd international conference on Electronic Information Engineering and computer science, EIECS 2023

作者： Ren, Yan Chen, Zhuo Chongqing University of Technology College of Computer Science and Engineering Chongqing China

ISBN: (纸本)9798350316674

The integration of the Industrial Internet of Things (IIoT) and blockchain can solve security problems, such as malicious data tampering and data falsification in the traditional IIoT system, for the problems of low throughput and significant block confirmation latency in the current IIoT blockchain system, this paper proposes a parallel directed acyclic graph(DAG) ledger model and an efficient consensus algorithm. The parallel DAG ledger consists of multiple subchains, the data collected by the sensor at the underlying layer can only be added to a specific subchain, the data collection and block submission can be performed simultaneously, the authenticity of the data is guaranteed by cross-validation between the blocks of different subchains, and the block can only become a legal block after submitting if it meets the validation conditions. Experiments show that when the number of data units contained in a block is 30, the throughput of the IIoT blockchain system is more than 3000 TPS (transactions per second). At the same time, the block confirmation latency is only a few hundred milliseconds, and when the throughput is more than 1000 TPS, a new block from the subchian which generates more data units has shorter block confirmation latency. © 2023 ieee.

关键词： blockchain consensus algorithm IIoT parallel DAG ledger

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A New Method of Image Steganography Technique Based on Fingerprint with Qr-Code Using Watermarking Technique 3

A New Method of Image Steganography Technique Based on Finge...

引用

3rd international conference on Advancement in Electronics and Communication Engineering, AECE 2023

作者： Sharma, Manoj Kumar Bansal, Nidhi Malik, Suraj Kumar, Gaurav Jain, Archana School of Engineering and Technology Iimt University Department of Computer Science and Engineering Meerut India School of Engineering and Technology Sharda University Department of Computer Science and Engineering Greater Noida India

ISBN: (纸本)9798350330724

This research paper based on new steganography technology with the using of fingerprint and QR code using watermarking technique. Now's a day digital technology and image steganography more useful for secure data. User and developer both no perfect secure data. According to digital technology biometric features is good for secure data. Biometric features are the part of human body which has excellent structure to be determined perfectly. In this paper it is proposed to use biometric fingerprint with QR-code by image steganography and cryptography using watermarking technique and produce more secure results comparison to other techniques. © 2023 ieee.

关键词： Steganography

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Large Scale Logistics Network Simulation and Its application in JD 3

Large Scale Logistics Network Simulation and Its Application...

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3rd ieee international conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： Sheng, Liu Xiaotian, Zhuang Liang, Yan Yu, Wang Yisheng, Lv Fei-Yue, Wang Instiute of Automation Chinese Academy of Science Beijing China Jingdong Group Jingdong Logistics Beijing China

ISBN: (纸本)9798350318470

We develop a parallel large-scale logistics network simulation software for a large logistics enterprise. According to its actual logistics network, we establish its equivalent virtual logistics network in the simulation software. Then we simulate and adjust the virtual logistics network in advance. At last we regulate the actual logistics network according to the virtual network. As a result, the actual logistics network run well. The simulation software can complete the simulation of 500 million package distribution of a month in less than 30 minutes on a personal computer. © 2023 ieee.

关键词： Personal computers

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Research and application of Different Machine Learning Algorithms in ILPD Risk Prediction Model 3

Research and Application of Different Machine Learning Algor...

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3rd ieee international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： He, Huayi Sichuan University School of Computer Science Chengdu China

ISBN: (纸本)9798350398410

In recent years, the development of artificial intelligence technology in the medical field has gained increasing attention. Today, machine learning techniques have a strong potential especially in the automatic diagnosis of various diseases. Several machine learning algorithms, such as Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Gradient Boosted Decision Tree (GBDT), XGBoost (XGB), LightGBM (LGBM), and K-Nearest Neighbors (KNN), were used in this study to construct a liver disease risk prediction model. The classification algorithms were applied to Indian Liver Patient dataset (ILPD) collected from UCI machine learning repository, and then the performance of different classification algorithms was evaluated by performance parameters such as accuracy, recall, F1-score, and AUC. The accuracy of LR, DT, RF, GBDT, XGB, LGBM and KNN can be derived from the experiments as 0.6867, 0.7651, 0.8193, 0.7831, 0.7651, 0.8413, and 0.7590, respectively. After comparison, it is found that the prediction performance of LGBM is superior to other machine learning algorithms for the ILPD dataset. The machine learning model has important implications in improving patient survival and helping physicians to make effective clinical decisions. © 2023 ieee.

关键词： Decision trees

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Monitoring Privacy-Preserving Constraints in Microservices Architecture Through Parameter Formalisation 3

Monitoring Privacy-Preserving Constraints in Microservices A...

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3rd Intelligent Cybersecurity conference, ICSC 2023

作者： Troubitsyna, Elena Kth - Royal Institute of Technology Sweden Dept. of Computer Science Stockholm Sweden

ISBN: (纸本)9798350382174

Microservices is an architectural style that promotes structuring an application as a collection of loosely coupled fine-grained services. Due to its support for continuous integration and agile development, it has become increasingly popular in different application domains. Since each microservice typically accesses different data, while composing complex applications, it is hard to monitor which data are getting accessed in the entire application workflow. This raises a serious concern over privacy protection, especially in the domains that require handling sensitive data. To guarantee privacy preservation, we need to identify the constraints that should be monitored by data analysis tools in runtime. In this paper, we demonstrate how formal modelling can be used as a basis for deriving monitoring constraints in the applications developed in the microservices architectural style. We formalise modelling patterns for specifying applications composed of microservices, data privacy constraints and demonstrate how to identify privacy violations in runtime. © 2023 ieee.

关键词： Sensitive data

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Social Media Content Recommendation System using Knn Algorithm 3

Social Media Content Recommendation System using Knn Algorit...

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3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Hariharan, R. Janit, R. Sophia Hindustan Institute of Technology and Science Department of Computer Application Chennai India Hindustan Institute Technology and Science Department of Computer Application Chennai India

ISBN: (纸本)9798350399264

Online streaming platforms for YouTuber short films are now widely used. Sites like YouTube Shorts provide an excellent platform for content creators to share their knowledge, ideas, and interesting information with their audience. There are no limits to creativity in the world of short videos. Billions of people create, edit, watch and share short videos on YouTube Shorts. Whether you want to share your voice with the world or create fun videos for your friends, all you need is your phone and your ideas. Machine learning algorithms are used to analyze large amounts of user behavior data such as: B. Search, watch videos, like, comment, subscribe. By analyzing this data, recommendation systems can predict user preferences and recommend videos that users are likely to like. Companies are using social media to grow their business, and data mining and analytics are very important today. This article describes trend analysis for short videos on YouTube. Creators are encouraged to create compelling video content. These user characteristics such as views, comments, likes and dislikes are used for analytics. Analytics can use this algorithm as a supervised algorithm to classify other machine learning models and filter based on content. © 2023 ieee.

关键词： Python

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