2022 International Symposium on Intelligent Robotics and Systems (ISoIRS)最新文献_第2页

Design of Micro High-performance Information Acquisition System Based on CMOS 基于CMOS的微型高性能信息采集系统设计

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/isoirs57349.2022.00022

Yinhuan Zhang, L. Xing, Chaoqin Chu, Q. Xiao, Wenhuang Zhao, Jingyun Xue

引用次数: 0

A framework for accurate and efficient classification of manufacturing resources in the industrial internet platform 工业互联网平台中制造资源准确高效分类的框架

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00019

Zhe Zhang, Xu Wang, Yingbo Wu

{"title":"A framework for accurate and efficient classification of manufacturing resources in the industrial internet platform","authors":"Zhe Zhang, Xu Wang, Yingbo Wu","doi":"10.1109/ISoIRS57349.2022.00019","DOIUrl":"https://doi.org/10.1109/ISoIRS57349.2022.00019","url":null,"abstract":"Manufacturing Resource Classification (MRC) is a prerequisite for optimal manufacturing resource allocation in the Industrial Internet Platform (IIP). Some key challenges are the inaccurate description of digital manufacturing resources (MRs) and capabilities, the large scope of resource search, and the slow response time of the cloud platform. To address these issues, this paper proposes a framework for classifying resources based on Video Semantic Description (VSD) and Event Description (ED) and related implementations to support the optimal allocation of MRs in the IIP. Firstly, we propose a framework for accurately and efficiently classifying MRs, the structure of which mainly consists of real-time digital descriptions of MRs, construction of manufacturing event clouds, and similar classification of manufacturing events. In addition, we propose a real-time numerical description method for MRs to address the real-time transmission and accurate description of IIP platforms, an event cloud construction method to shorten the search scope of resource allocation, and an event cloud similarity classification method to reduce the associated computational redundancy, which can support the accurate and efficient classification of MRs.","PeriodicalId":405065,"journal":{"name":"2022 International Symposium on Intelligent Robotics and Systems (ISoIRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116915680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Virtual Reality Panoramic Image Generation System Based on Machine Learning Algorithm 基于机器学习算法的虚拟现实全景图像生成系统

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/isoirs57349.2022.00017

Yuncan Yu

{"title":"Virtual Reality Panoramic Image Generation System Based on Machine Learning Algorithm","authors":"Yuncan Yu","doi":"10.1109/isoirs57349.2022.00017","DOIUrl":"https://doi.org/10.1109/isoirs57349.2022.00017","url":null,"abstract":"With the increase in computational power and math power, machine learning has made great progress recently, and its application in the field of computer vision is also well known. More and more people apply deep neural network in image feature extraction, image classification, fake data identification, and image generation. The purpose of this paper is to simulate the virtual reality panoramic image generation system based on machine learning algorithm. In order to propose a reliable and interpretable machine learning image generation model, and to avoid the mode collapse and mode confusion problems in the generated model, this paper will focus on the most the optimal transmission theory is applied to the image generation model. The use of Monte Carlo methods to generalize semi-continuous machine learning algorithms to arbitrary dimensions makes it possible to combine them with deep learning models. The results of the comparison between the running speed and the convergence accuracy of the machine algorithm show that when the number of sampling points is the same in the low-dimensional space, the optimal transmission has the same convergence accuracy on the CPU and GPU, and the computing efficiency on the GPU is about 3 times that of the CPU computing efficiency. In high-dimensional space, computing on GPU also improves the computational efficiency of machine learning algorithms.","PeriodicalId":405065,"journal":{"name":"2022 International Symposium on Intelligent Robotics and Systems (ISoIRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134102208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Copyright Page 版权页

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/isoirs57349.2022.00003

引用次数: 0

Application of Blockchain Technology in the Field of Agricultural Index Insurance 区块链技术在农业指数保险领域的应用

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00033

Wensheng Wang, F. Tang, Zhen Cao, Beibei Xu, Meiyuan Li, Jingzhuo Wang, Ran Tang, Runqing Yang, Yuan Feng

{"title":"Application of Blockchain Technology in the Field of Agricultural Index Insurance","authors":"Wensheng Wang, F. Tang, Zhen Cao, Beibei Xu, Meiyuan Li, Jingzhuo Wang, Ran Tang, Runqing Yang, Yuan Feng","doi":"10.1109/ISoIRS57349.2022.00033","DOIUrl":"https://doi.org/10.1109/ISoIRS57349.2022.00033","url":null,"abstract":"Blockchain technology has broad application potential in promoting high-quality development of agricultu ral insurances. Aiming at the current existing problems of agricultural insurances, such as few choices, non-uniform loss assessment standards, opaque methods of government subsidies and so on, this paper proposes to use the distributive, traceable and other characteristics of blockchain technology, including the application of smart contract, in agricultural index insurances to increase its credibility. The paper starts by briefly describing the traditional agricultural insurance business scope, purchase forms, and claim process, followed by a detailed discussion of the development of agricultural index insurances in China, then compares the advantages and disadvantages of the index insurances and analyzes the compliance of agricultural index insurances. Finally, the paper takes the agricultural weather index insurance as an example and designs the insurance process and targeted solutions for agricultural index insurances through blockchain technology applications, complemented by technologies, such as DSSAT and satellite remote sensing.","PeriodicalId":405065,"journal":{"name":"2022 International Symposium on Intelligent Robotics and Systems (ISoIRS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114294361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Plant Image Identification Based on Deep Learning 基于深度学习的植物图像识别研究

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00016

Xianfeng Zeng, Jing Chang, Changxiu Dai

{"title":"Research on Plant Image Identification Based on Deep Learning","authors":"Xianfeng Zeng, Jing Chang, Changxiu Dai","doi":"10.1109/ISoIRS57349.2022.00016","DOIUrl":"https://doi.org/10.1109/ISoIRS57349.2022.00016","url":null,"abstract":"In recent years, increasing attention was paid to the methods from researchers that about the intelligent identification of plants and their diseases based on deep learning algorithms. In this paper, plant images were as the study object. Firstly we listed the Research results on traditional methods and deep learning methods of machine learning, and summarized the classification features of plant images and the general procedure of plant identification, Simultaneously we introduced the general algorithms for deep learning, and studied the structural features of convolutional neural networks, and described the classical model of convolutional neural networks, At the end, we compared experimentally the identification efficiency of VGG16+SVM classifier and VGG16+Softmax classifier on plant images. Experiments have shown that under the same conditions, the SVM classifier has a higher identification rate for plant images with single backgrounds, but the identification rate for plant images with complicate backgrounds is close to that of the softmax classifier, and the VGG16 algorithm needs improvement further in the identification rate on fine-grained plant images with too similar leaf shapes. This also proved that the identification and classification of plant images with complicated background and fine-grained is a major constraint in achieving intelligent identification on plant.","PeriodicalId":405065,"journal":{"name":"2022 International Symposium on Intelligent Robotics and Systems (ISoIRS)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114902374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Implementation of 64-bit Multi-process Microkernel Operating System based on x86 platform 基于x86平台的64位多进程微内核操作系统的设计与实现

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/isoirs57349.2022.00020

Xiaocui Sun, Yongming Cai, Rongkang Jiang, Jiangwei Qin

{"title":"Design and Implementation of 64-bit Multi-process Microkernel Operating System based on x86 platform","authors":"Xiaocui Sun, Yongming Cai, Rongkang Jiang, Jiangwei Qin","doi":"10.1109/isoirs57349.2022.00020","DOIUrl":"https://doi.org/10.1109/isoirs57349.2022.00020","url":null,"abstract":"The most direct way people use computers is to use all kinds of computer software. Among the various kinds of computer software, the most important and basic one is operating system. All commonly used high-level software can run only by various mechanisms provided by the operating system. Technicians and researchers learn and try to implement it autonomously, which can bring us long-term basic technical assistance. This paper introduces the design and implementation of 64 bit multiprocess microkernel operating system based on x86 platform, expounds the design of system boot initialization, interrupt processing, memory management, process management and other basic functions of the operating system. And we verify the operation of the designed operating system by using x86 architecture CPU, main memory, virtual disk and VirtualBox virtual machine. The experiment results show this operating system works well in both memory management and process management, which provides convenience for people to understand the internal implementation mechanism of the operating system.","PeriodicalId":405065,"journal":{"name":"2022 International Symposium on Intelligent Robotics and Systems (ISoIRS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126958786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LSTM-MPT Based Quantitative Portfolio Decision Model 基于LSTM-MPT的定量投资组合决策模型

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00035

Zijun Xiong, Mengyuan Li, Yifan Xu

引用次数: 0

Multi-dimensional Equilibrium-depth Hashing Method for Large-Scale Image Retrieval 大规模图像检索的多维平衡深度哈希方法

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/isoirs57349.2022.00014

Jing Chang, Zeng Xianfeng

引用次数: 0

Design of the ocean-themed restaurant "Sea Breeze" based on computer-aided design 基于计算机辅助设计的海洋主题餐厅“海风”设计

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00025

Longlong Zhang, Jingwen Yuan, C. Kim

{"title":"Design of the ocean-themed restaurant \"Sea Breeze\" based on computer-aided design","authors":"Longlong Zhang, Jingwen Yuan, C. Kim","doi":"10.1109/ISoIRS57349.2022.00025","DOIUrl":"https://doi.org/10.1109/ISoIRS57349.2022.00025","url":null,"abstract":"As time goes by, our living standards have been improved, with increasing demand for dining, and theme restaurants have emerged to meet this demand. With its unique design style, exquisite craftsmanship and rich dishes, it attracts many diners. At present, the most popular theme restaurant in the world is the ocean theme restaurant. Ocean theme restaurants are a new catering that has emerged in recent years. There are many themed restaurants across the country. They are not particularly perfect, nor are they more profitable. One of the new and distinctive restaurants, the \"Ocean\" theme restaurant has a potential market and higher income among theme restaurants.First of all, this paper introduces the overall concept, characteristics, space and its extension and connotation of the theme restaurant. Secondly, it elaborates the theme restaurant space, function, and studies theme restaurant design from five principles, namely: theme restaurant function principle, experience principle, cultural principle, personality principle and economic principle. Then, this paper studies the special features of the ocean theme restaurant, proposes its spatial layout and color, and finally proposes the design concept of the theme restaurant.","PeriodicalId":405065,"journal":{"name":"2022 International Symposium on Intelligent Robotics and Systems (ISoIRS)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117190189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0