检索结果-内蒙古大学图书馆

4th International conference on Multimedia Processing, Communication and Information technology, MPCIT 2024

作者： Reeja, S.R. Reddy, Likith Sai Sai, Chaitanya Pujan, Vittala Reddy, Sashidhar Reddy, Pranai Kumar Chaitanya, Sundar VIT-AP University India

ISBN: (纸本)9798350375466

Augmented Reality (AR) technology has lately received considerable attention for its packages in diverse domains which includes gaming, education, and productivity tools. However, notwithstanding advances in AR input strategies, there remains an exceptional hole in the availability of cost-powerful and portable answers for fingers-unfastened typing in AR environments. Existing AR keyboards regularly depend upon steeply priced hardware or proprietary structures, restricting their accessibility and scalability. This research addresses these challenges by using developing an AR Keyboard the use of Raspberry Pi-a low-value, credit score-card-sized computer-coupled with OpenCV's Easy OCR model for actual-time optical person popularity (OCR). The AR Keyboard goals to improve consumer interplay and productivity with the aid of growing a digital keyboard projected onto actual-international surfaces, getting rid of the need for physical keyboards in certain contexts. The methodology involves putting in Raspberry Pi with crucial peripherals and integrating the Easy OCR (optical character recognition) version to correctly recognize textual content entered through the AR interface. The implementation covers data collection, pre-processing strategies, YOLO and OCR integration into the AR device. The overall performance of the device is evaluated based on accuracy, pace of recognition, and user delight through usability checking out. Results exhibit the feasibility and capability of the AR Keyboard, highlighting its potential for sensible use instances together with palms-free typing in augmented environments. This assignment contributes to the developing area of AR programs, supplying a value-effective and scalable answer for better human-pc interaction. © 2024 IEEE.

关键词： optical character recognition

来源：评论

学校读者我要写书评

暂无评论

SysML modeling tools for improved storage efficiency 4

SysML modeling tools for improved storage efficiency

引用

4th International conference on Signal Processing and Computer Science, SPCS 2023

作者： Jin, Qinchao Yang, Peihao Wang, Tiantian Wu, Xianghu Wang, Kechao School of Computer Science and Technology Harbin Institute of Technology Harbin China School of Information Engineering Harbin University Harbin China

ISBN: (纸本)9781510672505

With the development and widespread application of Model-Based Systems Engineering (MBSE) in the aerospace domain continue to grow, System Modeling Language (SysML) has become increasingly important as the most popular modeling language in MBSE. It is crucial to provide developers with an efficient and secure SysML editing tool to enhance their productivity. However, our research has revealed issues with the existing SysML editing tools, particularly in terms of data storage, resulting in a decline in efficiency as project data grows. Therefore, this paper proposes a GEF-based SysML development tool that supports developers in creating, editing, and exporting graphics. This tool addresses the data storage issues, improving development efficiency. Additionally, we present a model validation approach and extend the existing validation rules to ensure the correctness, reliability, and security of graphical elements and diagrams. © 2023 SPIE.

关键词： Modeling languages

来源：评论

学校读者我要写书评

暂无评论

Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks 38

Practical Privacy-Preserving MLaaS: When Compressive Sensing...

引用

38th AAAI conference on Artificial Intelligence (AAAI) / 36th conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational advances in Artificial Intelligence

作者： Wang, Jia Su, Wuqiang Huang, Zushu Chen, Jie Luo, Chengwen Li, Jianqiang Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen Peoples R China Shenzhen Univ Natl Engn Lab Big Data Syst Comp Technol 3688 Nanhai Ave Shenzhen Guangdong Peoples R China

ISBN: (纸本)1577358872

The Machine-Learning-as-a-Service (MLaaS) framework allows one to grab low-hanging fruit of machine learning techniques and data science, without either much expertise for this sophisticated sphere or provision of specific infrastructures. However, the requirement of revealing all training data to the service provider raises new concerns in terms of privacy leakage, storage consumption, efficiency, bandwidth, etc. In this paper, we propose a lightweight privacy-preserving MLaaS framework by combining Compressive Sensing (CS) and Generative Networks. It's constructed on the favorable facts observed in recent works that general inference tasks could be fulfilled with generative networks and classifier trained on compressed measurements, since the generator could model the data distribution and capture discriminative information which are useful for classification. To improve the performance of the MLaaS framework, the supervised generative models of the server are trained and optimized with prior knowledge provided by the client. In order to prevent the service provider from recovering the original data as well as identifying the queried results, a noise-addition mechanism is designed and adopted into the compressed data domain. Empirical results confirmed its performance superiority in accuracy and resource consumption against state-of-the-art privacy-preserving MLaaS frameworks.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Detecting reading orders with block-based models for OCR for classical Chinese documents: concepts and demonstrations

引用

Multimedia Tools and Applications 2025年 1-23页

作者： Ma, Hsing-Yuan Liu, Chao-Lin Huang, Hen-Hsen National Chengchi University Taipei Taiwan Institute of Information Science Academia Sinica Taipei Taiwan

Texts, printed or written, are the most important form of cultural preservation. This is true for Chinese studies and many cultures. For this reason, optical character recognition (OCR) is one of the most important tools for heritage preservation. With OCR and reading order detection (ROD), we convert the information in their hard-copy forms to digitized documents, allowing both lasting storage and further analysis. Given a page image, the step of ROD helps us determine the order of the texts on the page. An effective ROD reduces the cost of post-OCR human labor for correction. Rule-based and n-gram models are conceivable and popular techniques for implementing ROD, considering the coordinates and the alternative orders of the individually detected characters. In this paper, we report a block-based approach that does not rely on the n-gram techniques for ROD. Instead, we identified the text blocks, and ordered the blocks based on the ideas of learning-to-rank, and concatenated the texts within the blocks by their orders. We evaluated our approach on the MTHv2 dataset. Experimental results show that our approach achieved impressive results, reducing the position error rate (PER) to 5.4%, compared to 61.7% for heuristic methods and 56.5% for MLP, representing a significant improvement of 91.3% and 90.4%, respectively. Additional experiments show that we could have used less data than one might expect to achieve a satisfactory quality of ROD. We implemented and demonstrated a fully functioning prototype at a recent AAAI conference. ∗ The actual performance of the prototype provides solid evidence of the effectiveness and extensibility of our design to more general contexts, e.g., Japanese texts. © The Author(s) 2025.

关键词： optical character recognition

来源：评论

学校读者我要写书评

暂无评论

The design for data transmission and processing system for speed governor test-bed based on IOT 3

The design for data transmission and processing system for s...

引用

3rd International conference on Internet of Things and Smart City, IoTSC 2023

作者： Liu, Haoxu Man, Changzhong Juan, Changlu Jiang, Ke School of Energy and Power Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9781510666375

This paper introduces a data transmission and processing system for the speed governor test-bed. And the design employed the Internet of things (IOT) technology, added the WIFI communication module on the traditional speed governor test-bed, as well as combined the database and WEB server, which enabled the data measured by the speed governor test-bed to be stored in the database in real-time. In addition, the experimenter can remotely retrieve and view historical experimental data and view the direct results of data processing. It solved the issue that the data and information in the process of governor testing can be transferred and transmitted efficiently and reliably among all levels and layers, and accordingly enhanced the ability of data storage and fast retrieval in the process of governor testing. © 2023 SPIE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of a Physical Asset Analysis and Evaluation System for Power Grid 2

Design and Implementation of a Physical Asset Analysis and E...

引用

2nd International conference on Applied Statistics, Computational Mathematics, and Software Engineering, ASCMSE 2023

作者： Zhao, Chao An, Tingbo Guizhou Power Grid Co. Ltd. Electric Power Science Research Institute China China Power Construction Group Guizhou Electric Power Design and Research Institute Co. Ltd China

ISBN: (数字)9781510668195

ISBN: (纸本)9781510668188

This article establishes a power grid physical asset analysis and rating system based on big data technology. This system achieves the acquisition, storage, analysis, and presentation of massive data through the comprehensive application of various big data storage and analysis technologies. It proposes a big data localization, recognition, and calculation based on IDCROSS algorithm, and designs a data analysis chain to simplify the data processing process. This system realizes the automation of the physical asset analysis and evaluation process, improving work efficiency and accuracy of analysis. At present, the system has been successfully applied in power grid enterprises. © 2023 SPIE.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Oyster Cold Chain Logistics Monitoring System Based on RFID and Cloud Platforms 4

Oyster Cold Chain Logistics Monitoring System Based on RFID ...

引用

4th International conference on Signal Processing and Computer Science, SPCS 2023

作者： Liu, Kai Gao, Wen Cong, Chenxuan Faculty of Information and Electronic Engineering Shandong Technology and Business University Yan Tai China

ISBN: (纸本)9781510672505

The cold chain logistics of oysters starts from the moment they are harvested and ends when they reach the consumers' homes. The process includes various stages: pre-processing, packaging, pre-cooling, processing, cold storage, loading, transportation, and sales. Due to inadequate quality control in the logistics process, fresh oysters often experience a significant decline in quality during transportation and storage, resulting in substantial losses. To address this issue, this article presents a real-time, traceable, and visual quality monitoring system for oyster cold chain logistics. It combines RFID technology with the development of a unique binding technique for preservation boxes and utilizes a hybrid technology incorporating "RFID+4G+DTU+MQTT+cloud storage + Web" to enable real-time collection of oyster transportation environmental parameters and distributed, non-volatile, and cost-effective data storage. A supporting B-S mode system management platform was developed and deployed on a cloud server. The system, with the flow of information as its main focus, provides functions including personnel management, oyster identification and traceability, data visualization monitoring, and quality prediction. The online operation of this system has proven to be highly real-time and stable, effectively enhancing the quality monitoring capability throughout the entire oyster transportation process, and it has demonstrated significant economic and social benefits. © 2023 SPIE.

关键词： Cold storage

来源：评论

学校读者我要写书评

暂无评论

Research on Pulse Power Wireless Communication Network Based on LoRa technology 2

Research on Pulse Power Wireless Communication Network Based...

引用

2nd International conference on Frontiers of Electrical Power and Energy Systems, EPES 2022

作者： Wang, Yi Su, Zizhou Huang, Kai Yan, Jie Wang, Sui Ye, Weisheng Northwest Institute of Mechanical & Electrical Engineering Shaanxi712099 China

In this paper, the engineering of pulse power supply in electromagnetic launch technology is studied in depth, the advantages and disadvantages of optical fiber communication transmission currently used are analyzed, and then the requirements for data transmission of pulse power supply system are summarized, and several commonly used wireless communication technologies are analyzed and compared, such as ZigBee, LoRa, SigFox, NB IoT, 5G, etc. According to the comprehensive comparison of these technologies in transmission distance, rate, bandwidth, security, time delay, self built network and other aspects, the scheme of using LoRa wireless communication technology to replace optical fiber transmission is finally determined, and the LoRa wireless communication network construction, controller hardware circuit design, module software program, data transmission communication protocol, data encryption, data storage and other contents in the scheme are further designed in detail, It also predicts the further research and development of LoRa wireless communication technology in pulse power supply. © Published under licence by IOP Publishing Ltd.

关键词： data communication systems

来源：评论

学校读者我要写书评

暂无评论

advances in federal learning technology research 3

Advances in federal learning technology research

引用

3rd International conference on Machine Learning and Computer Application, ICMLCA 2022

作者： Jin, Houji Department of Computer Changshu Institute of Technology Changshu China

ISBN: (纸本)9781510664814

Along with the boom in data rights and the increasing number of responses to protect data privacy, scholars have begun to study the "data isolation" phenomenon while ensuring data privacy and security. Users upload source data to a high computing power cloud server for centralised training required by traditional machine learning algorithms, which leads to uncontrolled data theft and sensitive data leakage problems. By removing data barriers and collaborating on modelling utilizing data from several clients, federated learning has become a successful remedy for this issue. In this presentation, the history of federated learning is discussed, federated learning's precise defining categories is clarified, and its technological evolution is examined. How well training frameworks for federated learning, including the FedAvg, MOON, and Fedprox algorithms perform is assessed too. Finally, the current problems of federated learning algorithms and the future directions of development are also illustrated objectively. © 2023 SPIE.

关键词： Sensitive data

来源：评论

学校读者我要写书评

暂无评论

Temperature analysis of lithium iron phosphate battery during operation based on electrochemical-thermal full coupling model

Temperature analysis of lithium iron phosphate battery durin...

引用

2023 International conference on Electronic Information Engineering and data Processing, EIEDP 2023

作者： Chu, WeiDa Tong, XingLin Zeng, FanChao Xu, Chong Wei, Bin Li, ZhenMing Liu, MingYang School of Information Engineering Wuhan University of Technology Hubei Wuhan China National Engineering Research Center of Fiber Optic Sensing Technology and Networks Wuhan University of Technology Hubei Wuhan China Energy Storage and Electrotechnics Department China Electric Power Research Institute Beijing China

ISBN: (纸本)9781510666160

In recent years, as a clean and efficient energy storage technology, lithium iron phosphate battery is widely used in large energy storage power stations, new energy vehicles and other fields. However, lithium-ion batteries still face obstacles that limit their application space. Once the temperature exceeds the working range of the battery, lithium iron phosphate battery will rapidly degrade, increasing the risk of facing fire and explosion and other safety problems. Multi-physical field full-coupling simulation is one of the important means to study the temperature of lithium iron phosphate battery operation process. Based on the electrochemical-thermal coupling full model of iron phosphate battery, this paper analyzes and studies the temperature change of battery operation process, and obtains the temperature change of battery under adiabatic and actual conditions, which provides a basis for solving the thermal management problem of lithium iron phosphate battery operation process. © 2023 SPIE.

关键词： Iron compounds

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：