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Proceedings of the 4th International Conference on Advanced Information Science and System最新文献

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Multi-view clustering study based on subspace 基于子空间的多视图聚类研究
Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574497
L. Wang, Dong Sun, Zhu Yuan, Q. Gao, Yixiang Lu
{"title":"Multi-view clustering study based on subspace","authors":"L. Wang, Dong Sun, Zhu Yuan, Q. Gao, Yixiang Lu","doi":"10.1145/3573834.3574497","DOIUrl":"https://doi.org/10.1145/3573834.3574497","url":null,"abstract":"With the widespread existence of multi-view data, many multi-view clustering methods have emerged. The purpose of multi-view clustering is to classify data into multiple clusters based on different views. Existing multi-view clustering methods usually do not sufficiently mine the complementary information of data, which makes the effective information of multi-view data cannot be fully utilized. By considering the diversity of different views, we propose a new multi-view subspace clustering method. Specifically, we first extend single-view self-expression learning to the multi-view domain. Then, based on manifold learning, the public information of multi-view data is obtained. In addition, diversity among the data was measured using the Hilbert-Schmidt Independence Criteria (HSIC). Experimental results on four datasets show that our model has good clustering performance on different evaluation indicators.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"52 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113936481","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
Privacy Protection Technology in IOT Data Storage Based on Blockchain 基于区块链的物联网数据存储隐私保护技术
Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574468
Peng Duan
{"title":"Privacy Protection Technology in IOT Data Storage Based on Blockchain","authors":"Peng Duan","doi":"10.1145/3573834.3574468","DOIUrl":"https://doi.org/10.1145/3573834.3574468","url":null,"abstract":"The so-called Internet of things refers to connecting many objects in reality and existing on the network structure in a specific form. With the development of the Internet of things technology, the types of data collected in the Internet of things are increasing and the data scale is expanding. The traditional data storage system is no longer applicable. In order to effectively store and use these data, a new data storage system is needed to manage the information collected in the Internet of things. This paper proposes a data storage system of the Internet of things based on the blockchain, then analyzes the functions of various privacy protection technologies and their protection effects on the system, and forecasts the development direction of privacy protection technologies in the future data storage system of the Internet of things.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131009281","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 LightGBM-based fault prediction for electrical equipment in artillery fire control system 基于 LightGBM 的火炮火控系统电气设备故障预测研究
Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574499
Songbai Zhu, Guolai Yang
{"title":"Research on LightGBM-based fault prediction for electrical equipment in artillery fire control system","authors":"Songbai Zhu, Guolai Yang","doi":"10.1145/3573834.3574499","DOIUrl":"https://doi.org/10.1145/3573834.3574499","url":null,"abstract":"In this paper, we proposed an efficient algorithm to solve the fault prediction for electrical equipment in artillery fire control system. Aiming at the modern fire control system based on integrated modular architecture, we analyze the problem of fault diagnosis and prediction. Then fault prediction for electrical equipment is translated into a time series data prediction problem. LightGBM-based prediction model is proposed, in which the data set selection, features building, training and evaluation method is discussed. At last a numerical simulation is proposed to illustrate the efficiency of the method in this paper.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130041082","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
An Attention GRU-XGBoost Model for Stock Market Prediction Strategies 股票市场预测策略的关注GRU-XGBoost模型
Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3573837
Zhenhao Jiang
{"title":"An Attention GRU-XGBoost Model for Stock Market Prediction Strategies","authors":"Zhenhao Jiang","doi":"10.1145/3573834.3573837","DOIUrl":"https://doi.org/10.1145/3573834.3573837","url":null,"abstract":"Predicting stock prices and market indices is very difficult, and the associated prices and indices have too much uncertainty. There are already many deep neural networks for stock price prediction, which predict future stock prices based on historical stock price data. In this paper, a GRU-XGBoost model with attention is proposed to deal with heterogeneous data with various information in stock price prediction. The GRU model is used to solve the gradient problem, and the attention mechanism and XGBoost are used to save the context and process local optimal solutions. question. The experimental results show that the proposed method has better RMSE evaluation results.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124946717","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: 1
News Recommendation with Multi-views Emotion Analysis 基于多视角情感分析的新闻推荐
Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574478
Hang Yun, Xing Deng, Yulu Du
{"title":"News Recommendation with Multi-views Emotion Analysis","authors":"Hang Yun, Xing Deng, Yulu Du","doi":"10.1145/3573834.3574478","DOIUrl":"https://doi.org/10.1145/3573834.3574478","url":null,"abstract":"News recommendation aiming to find attractive news for users has been received many attentions in recent years. Existing news recommendation methods mainly focus on modeling user preference based on the interaction behaviors between users and news without the consideration of emotion information in the interaction. However, emotion information also plays an important role in improving the accuracy of news recommendation. In this paper, we propose an emotion analysis method for news recommendation with using multi-views to explore the impact of emotion information during the process of user's decision making. The emotion features extracted by the method are combined with the content features of the news to provide a comprehensive feature representation of the candidate news to improve the performance of recommendation. Experiments on real-world datasets show the effectiveness of the proposed method in improving accuracy of news recommendation.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116961901","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: 1
Electromagnetic data completion and prediction method based on tensor train 基于张量序列的电磁数据补全与预测方法
Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574508
Shuli Ma, Liting Sun, Yufei Niu, Han Liu, Huiqian Du, Feihuang Chu, Shengliang Fang
{"title":"Electromagnetic data completion and prediction method based on tensor train","authors":"Shuli Ma, Liting Sun, Yufei Niu, Han Liu, Huiqian Du, Feihuang Chu, Shengliang Fang","doi":"10.1145/3573834.3574508","DOIUrl":"https://doi.org/10.1145/3573834.3574508","url":null,"abstract":"In residential environment, electromagnetic power density exceeding a certain value will affect people's livelihood and health. In the monitoring of electromagnetic environmental quality of residential buildings, the grid method is generally used to measure the data value of electromagnetic radiation sources, and the visualization technology is used to display the data of electromagnetic radiation sources in the region. In this paper, we use the method of randomly deploying sensor nodes to sample grid electromagnetic data, which greatly saves the deployment cost of sensor nodes. However, it will lead to data loss and pulse noise interference. Giving that the general electromagnetic data visualization diagram are local smoothing and sparse in transformation domain, we propose to use the tensor form of electromagnetic data to completion/restoration or predict the area grid that cannot be monitored based on the completion theory. The prediction model based on tensor train and algorithm are given. Experimental results show that the method can make the data smoother visually and within a certain accuracy.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129322828","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
Application of Vision Technology in Automatic Tracking of Robot 视觉技术在机器人自动跟踪中的应用
Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574513
Yanhui Xu, Tong Zhang, Dunzhao Yang
{"title":"Application of Vision Technology in Automatic Tracking of Robot","authors":"Yanhui Xu, Tong Zhang, Dunzhao Yang","doi":"10.1145/3573834.3574513","DOIUrl":"https://doi.org/10.1145/3573834.3574513","url":null,"abstract":"This paper focuses on the application of vision technology in the automatic tracking system of robots. By controlling the robot with vision technology, the robot can recognize the shape or color of the target object, so that the robot can realize the function of target tracking or autonomous tracking.The visual module mainly uses OpenMV image processing platform, which belongs to embedded image processing equipment. The hardware part of the robot automatic tracking system is mainly composed of the steering gear, the control board and the vision module. The vision module identifies the external environment and sends the identified signal to the control board. After receiving the signal, the control board processes and sends it to the steering gear, which drives the robot to complete the tracking task. The experiments show that the vision technology can realize the real-time analysis of the target information and synchronously convey the action command to the robot in the automatic tracking, which has the advantages of convenient operation, fast analysis rate, stable operation and high accuracy.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129553630","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
Comparisons of Classic and Quantum String Matching Algorithms✱ 经典和量子字符串匹配算法的比较
Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574498
Margaret Gao, Rachel Huang, A. Mazumder, Fei Li
{"title":"Comparisons of Classic and Quantum String Matching Algorithms✱","authors":"Margaret Gao, Rachel Huang, A. Mazumder, Fei Li","doi":"10.1145/3573834.3574498","DOIUrl":"https://doi.org/10.1145/3573834.3574498","url":null,"abstract":"In this paper, we study the string matching problem. We design a quantum string-matching algorithm for noisy intermediate-scale quantum (NISQ) computers, given the current leading quantum processing units (QPUs) having no more than a few hundred qubits [16]. We also compare the performance of classic algorithms and quantum algorithms under various combinations. Our study provides a comprehensive and quantitative guide for users to choose appropriate classic or quantum algorithms for their string matching problems.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121949820","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
Overturning the Counting Cornerstone: Exploring Fine-Grained Adaptive Losses to Subvert the Conventional Density Estimation 推翻计数基石:探索细粒度自适应损失以颠覆传统的密度估计
Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574489
Ruogu Li
{"title":"Overturning the Counting Cornerstone: Exploring Fine-Grained Adaptive Losses to Subvert the Conventional Density Estimation","authors":"Ruogu Li","doi":"10.1145/3573834.3574489","DOIUrl":"https://doi.org/10.1145/3573834.3574489","url":null,"abstract":"Previous works of crowd counting prepossess the given label and convert it into a density map or count map used for learning. However, we revealed that density maps tend to have severe errors due to faulty occlusions, head size variation, and head shape variation. Directly learning the density map will often result in fatal over-fitting. On the other hand, Count-map did not fully utilize the detailed information of the image. These unsatisfactory preprocessing lead to the performance bottleneck despite recent advances in network architecture. To solve these problems, in this paper, we discovered that the distribution of errors throughout the density map is not uniform. Moreover, it is correlated with the distance to the nearest annotation point. Inspired by this finding, we introduce Fine-Grained Adaptive Losses to learn the density map differently in different regions of the density map. While our method is simple, it dictates that we should endeavor to obtain more supervision from the density map. Our effort subverts the traditional use of density maps and opens up a new vision for future counting research. Extensive experiments demonstrate that our approach significantly outperforms standard methods in crowd-counting datasets.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131001425","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
Phase-MLP for Generalizable Implicit Neural Representations 广义隐式神经表示的相位mlp
Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574503
Weifeng Chen, Hui Ding, Bo Li, Bin Liu
{"title":"Phase-MLP for Generalizable Implicit Neural Representations","authors":"Weifeng Chen, Hui Ding, Bo Li, Bin Liu","doi":"10.1145/3573834.3574503","DOIUrl":"https://doi.org/10.1145/3573834.3574503","url":null,"abstract":"Implicit neural representation(INR) has lifted a climax among deep learning researchers for its powerful continuous representation. With Sine activation or Fourier position embedding, INRs overcome the problem that could not reconstruct high-frequency signals in different domains, such as voice, image or 3D shape. However, many of INR researches can merely represent one object or one scene with high-frequency information, multiple instances will bring a sharp decline of performance. In this work, we propose a newly phase-MLP which can not only recover diverse instances but also keep high quality content. Our network takes phase information which corresponding to target signal as input and combine it with encoded position signals to reconstruct the original data. Moreover, we propose a multi-level phase-MLP base on the infrastructure to retain fidelity for bigger instance while limiting the phase information in the low amount. Experimental results on public images and videos demonstrate our proposed approach outperforms the state-of-the-art methods.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131135948","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
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