发布求助
文献互助 智能选刊 最新文献

2021 International Symposium on Computer Technology and Information Science (ISCTIS)最新文献

筛选
英文 中文
Improved Genetic Algorithm for Weapon Target Assignment Problem 武器目标分配问题的改进遗传算法
2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI: 10.1109/ISCTIS51085.2021.00012
Luo Ruining, Zhao Yan
{"title":"Improved Genetic Algorithm for Weapon Target Assignment Problem","authors":"Luo Ruining, Zhao Yan","doi":"10.1109/ISCTIS51085.2021.00012","DOIUrl":"https://doi.org/10.1109/ISCTIS51085.2021.00012","url":null,"abstract":"Since the end of last century, intelligent optimization algorithm has been developing vigorously with the maturity of computer technology. Among them, genetic algorithm (GA) is the earliest and most mature optimization algorithm, and has been well applied in solving weapon target assignment (WTA) problem. In this paper, the implementation of GA is introduced. Aiming at the defect that traditional GA is easy to fall into local optimum, a fitness function control strategy based on scale transformation and a matching control strategy based on difference matching principle are proposed. The improved GA is applied to solve the WTA problem, and the performance of the improved GA is verified.","PeriodicalId":403102,"journal":{"name":"2021 International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123988879","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
Information-Directed Exploration via Distributional Deep Reinforcement Learning 基于分布式深度强化学习的信息导向探索
2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI: 10.1109/ISCTIS51085.2021.00052
Zijie He
{"title":"Information-Directed Exploration via Distributional Deep Reinforcement Learning","authors":"Zijie He","doi":"10.1109/ISCTIS51085.2021.00052","DOIUrl":"https://doi.org/10.1109/ISCTIS51085.2021.00052","url":null,"abstract":"Appropriate exploration strategy is crucial to the success of reinforcement learning tasks. One challenge for efficient explorations is to deal with noise in the reinforcement learning (RL), namely parametric uncertainty and intrinsic uncertainty. Researchers pointed out that intrinsic uncertainty may cause disaster to many common exploration strategies. The paper investigates an information-directed exploration strategy: Information Directed Sampling (IDS), which has been extended to general RL setting due to its merit of modeling both parametric uncertainty and intrinsic uncertainty. A modified version based on existing framework was proposed. Modified and original IDS were compared with in two Atari games: Asterix and Gravitar. It was observed that under the similar computational cost, modified method outperformed the original version in Asterix, and performed slightly worse in Gravitor but with much lower variance. Convincing justifications for the superior of modified method were also provided in the last part.","PeriodicalId":403102,"journal":{"name":"2021 International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115229323","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
A Multi-Image Mosaic Method for Farmland UAV Aerial Images via Reference Image Optimization 基于参考图像优化的农田无人机航拍图像多图像拼接方法
2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI: 10.1109/ISCTIS51085.2021.00089
Jiong Pan, Longfei Chen, Leyi Zhang
{"title":"A Multi-Image Mosaic Method for Farmland UAV Aerial Images via Reference Image Optimization","authors":"Jiong Pan, Longfei Chen, Leyi Zhang","doi":"10.1109/ISCTIS51085.2021.00089","DOIUrl":"https://doi.org/10.1109/ISCTIS51085.2021.00089","url":null,"abstract":"In agricultural remote sensing, multi-image mosaic, which stitches the images captured by the camera and get an image with large range, is an efficient way to monitor and inspect a large range of farmland. However, one of the challenges is to accurately locate every component image into right positions in the resultant image. This locating process performs many times in multi-image mosaic. Apart from the first image, before locating any component image, an image that has already been located should be chosen as a reference image. A novel method named Reference Image Optimization (RIO) is proposed in this paper to select reference image in multi-image mosaic to reduce mosaic errors, where SIFT and RANSAC algorithms are applied to obtain the matched feature point pairs for every two-image mosaics, and the image with the largest number of matched feature point pairs at a particular range of direction relative to the locating image is chosen as the optimal reference image. In this paper, farmland is used as an application scenario to validate the method. The trait of farmland UAV aerial images is that there is a high similarity among different images, so mosaic error often appears when using traditional methods. The proposed method automatically stitches hundreds of high-resolution farmland UAV aerial images into a complete and seamless large image without resolution loss. The proposed method can be used to improve the accuracy of image mosaic technology of agricultural remote sensing.","PeriodicalId":403102,"journal":{"name":"2021 International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121406875","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 UWB/BLE-based Fusion Indoor Positioning Algorithm and System Application 基于UWB/ ble的融合室内定位算法及系统应用研究
2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI: 10.1109/ISCTIS51085.2021.00019
Jingbo Xia, Shiyan Li, Yanting Wang, Baoxiang Jiang
{"title":"Research on UWB/BLE-based Fusion Indoor Positioning Algorithm and System Application","authors":"Jingbo Xia, Shiyan Li, Yanting Wang, Baoxiang Jiang","doi":"10.1109/ISCTIS51085.2021.00019","DOIUrl":"https://doi.org/10.1109/ISCTIS51085.2021.00019","url":null,"abstract":"The accelerating advancement of 5G networks, Internet of Things, and data processing methods in the 21st century raised people's demand for location-based services, especially the indoor locating services. Therefore, indoor locating services have gradually replaced outdoor locating services to become a new research focus and challenge. Given that the traditional indoor locating systems, which are largely based on positioning technologies such as WiFi and radar, performed unsatisfactorily in terms of cost and, the most vital, accuracy.The Wireless Sensor Network (WSN) has become the core of the Internet of Things and has been widely utilized to tackle the difficulties in the indoor location during the past ten years. The present study analyzed and compared the working principles, research status, and the pros and cons of several commonly used wireless sensors, and drew a conclusion that single indoor locating technology inevitably comes with corresponding limitations, which can be solved through the combination of multiple complementary locating technology. This paper employed UWB and BLE as the subsystems of the indoor combination locating system, analyzed and optimized the respective locating algorithm model of each subsystem, and proposes an optimization model for combination locating algorithm based on EKF-PF, to enhance the accuracy. Eventually, we built a novel set of low-cost, convenient and flexible indoor combination locating system based on Bluetooth-UWB technology that supports both two-dimensional and three-dimensional spatial location.","PeriodicalId":403102,"journal":{"name":"2021 International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134465408","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: 3
Hand Gesture Recognition in Complex Background Based on improved Deep Residual Learning network 基于改进深度残差学习网络的复杂背景下手势识别
2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI: 10.1109/ISCTIS51085.2021.00057
Chaofeng Li, Baoping Wang
{"title":"Hand Gesture Recognition in Complex Background Based on improved Deep Residual Learning network","authors":"Chaofeng Li, Baoping Wang","doi":"10.1109/ISCTIS51085.2021.00057","DOIUrl":"https://doi.org/10.1109/ISCTIS51085.2021.00057","url":null,"abstract":"Although deep learning-based hand gesture recognition techniques have achieved amazing performance in recent years, it is challenges as hand gesture is prone to interference, such as light changes and gesture shadows on gesture recognition. In this paper, we propose a recognition model based on ellipse skin color, and improved Deep Residual Learning network for gesture recognition. By utilizing the clustering effect of skin color in YCbCr color space, we segment CbCr two-dimensional space based on the elliptical skin color model to hand gesture. To further improve performance, the mathematical morphology with logic operation is proposed to assist hand gesture segmentation. Lastly, the Deep Residual Learning architecture is used to increase the width of the network and the channel attention mechanism. The experimental results show that the proposed method can obtain a high recognition rate compared with existing methods.","PeriodicalId":403102,"journal":{"name":"2021 International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132879481","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 the Monitoring System for NoSQL-based Cloud Platform Resources 基于nosql的云平台资源监控系统的设计与实现
2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI: 10.1109/ISCTIS51085.2021.00043
Xin Deng, Yuan-Ding Nie, Yingwei Yang, Nan Li, Biao Hou, Zhong-Kai Zhao
{"title":"Design and Implementation of the Monitoring System for NoSQL-based Cloud Platform Resources","authors":"Xin Deng, Yuan-Ding Nie, Yingwei Yang, Nan Li, Biao Hou, Zhong-Kai Zhao","doi":"10.1109/ISCTIS51085.2021.00043","DOIUrl":"https://doi.org/10.1109/ISCTIS51085.2021.00043","url":null,"abstract":"China Meteorological Administration has established a meteorological cloud platform based on virtualization, distributed technologies, etc., and has been opened for internal use, but lacks an effective resource usage monitoring system, which is helpful for fine management of resource. Based on the development and application of non-relational database in the industry, this paper analyzes the functions and display requirements of the real-time monitoring system of cloud platform resources, it also expounds the system design and implementation, and discusses the reasons for the selection of non-relational databases of this kind of system. This system can effectively solve the difficult problem of resource usage monitoring of heterogeneous cloud platform, improve the refined management capability, and has high practical application value. It has good reference significance for the design and construction of monitoring systems of similar platforms in other industries. At the end of the paper, the application of emerging technologies in the meteorological industry is prospected.","PeriodicalId":403102,"journal":{"name":"2021 International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"529 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120877656","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
Design of FIR digital filter based on improved neural network 基于改进神经网络的FIR数字滤波器设计
2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI: 10.1109/ISCTIS51085.2021.00088
Ting Xue
{"title":"Design of FIR digital filter based on improved neural network","authors":"Ting Xue","doi":"10.1109/ISCTIS51085.2021.00088","DOIUrl":"https://doi.org/10.1109/ISCTIS51085.2021.00088","url":null,"abstract":"This paper designs a FIR digital filter algorithm based on improved neural network. In the process of neural network learning, the algorithm can adjust the learning rate adaptively according to the error value between the frequency response of neural network output and the ideal frequency response, so that the algorithm can avoid the slow convergence or oscillation caused by fixed learning rate. In this paper, four FIR digital filter design examples are given. The simulation results show that the FIR filter design algorithm designed in this paper can achieve faster convergence speed and higher stopband attenuation than the neural network under fixed learning rate, which is an effective design method of FIR digital filter.","PeriodicalId":403102,"journal":{"name":"2021 International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114780577","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
CSI indoor positioning method based on soft partition of subspaces 基于子空间软分区的CSI室内定位方法
2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI: 10.1109/ISCTIS51085.2021.00066
Huiqing Zhang, Yutong Wang
{"title":"CSI indoor positioning method based on soft partition of subspaces","authors":"Huiqing Zhang, Yutong Wang","doi":"10.1109/ISCTIS51085.2021.00066","DOIUrl":"https://doi.org/10.1109/ISCTIS51085.2021.00066","url":null,"abstract":"Based on the channel status information, the positioning system of the fingerprint indoor positioning system has a certain increase in the accuracy of the indoor positioning of the Wi-Fi, but there is still the problem of data redundancy and complex resolution. We proposed a CSI indoor positioning method based on fuzzy and fuzzy degradation molecular space: first, the whole location space is divided into a certain intersecting subspace, and then based on the status of the realtime CSI sample, the weight of the fingerprint matching algorithm is set, and the fingerprint matching and positioning are completed in the subspace. Experimental results show that our method is superior to the traditional CSI localization method in positioning efficiency.","PeriodicalId":403102,"journal":{"name":"2021 International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122314713","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
Chinese Position Segmentation Based on ALBERT- BiGRU-CRF Model 基于ALBERT- BiGRU-CRF模型的中文位置分割
2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI: 10.1109/ISCTIS51085.2021.00031
Xiaolin Li, QingKang Deng
{"title":"Chinese Position Segmentation Based on ALBERT- BiGRU-CRF Model","authors":"Xiaolin Li, QingKang Deng","doi":"10.1109/ISCTIS51085.2021.00031","DOIUrl":"https://doi.org/10.1109/ISCTIS51085.2021.00031","url":null,"abstract":"Aiming at the problems of poor parsing effect and poor generalization ability in Chinese position segmentation using current neural network models, this paper proposes a Chinese position segmentation method based on ALBERT-BiGRU-CRF model. The method first uses the ALBERT pre-training model to pre-train the Chinese location information to obtain the context information in all layers, enhance the semantic representation ability of the Chinese location information, and then extract the feature information of the vector through the BiLSTM model, and finally decode it through the CRF model to obtain the global Optimal labeling sequence. Experimental results show that on the basis of different numbers and regions of Chinese location information data sets, the ALBERT-BiGRU-CRF model has better word segmentation accuracy and F1 value on all test sets than the current commonly used neural network models, and the highest can be achieved. 93.91% and 93.96%. Using the ALBERT-BiGRU-CRF model to segment Chinese location information not only effectively improves the accuracy of Chinese location information analysis and polysemous word analysis, but also has better generalization capabilities.","PeriodicalId":403102,"journal":{"name":"2021 International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126552586","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
A Dual-Band PA for Counter UAV applications
2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI: 10.1109/ISCTIS51085.2021.00035
Q. Xiao, Liwen Chen, Wei Lu, Cheng Zhu
{"title":"A Dual-Band PA for Counter UAV applications","authors":"Q. Xiao, Liwen Chen, Wei Lu, Cheng Zhu","doi":"10.1109/ISCTIS51085.2021.00035","DOIUrl":"https://doi.org/10.1109/ISCTIS51085.2021.00035","url":null,"abstract":"The development of counter UAV (Unmanned Aerial Vehicle) technology requires the use of an efficient multiband power amplifier (PA) at the end of the transmission link. In this paper, the CGH40010F produced by Cree is used to design a dual-band amplifier which can work at 1.57/2.44GHz simultaneously. In this paper, T - type network is added on the basis of the traditional II matching network to realize the impedance rotation of the matched frequency band and expand the bandwidth of the dual frequency amplifier. The simulation results of the dual-band amplifier show that the PAE of the dual-band amplifier reaches 58.5% and 59.2%, the output power reaches 39.96dBm and 40.07dBm, and the gain is 12.4dB and 12.9dB respectively. The bandwidth of the two working bands can reach 80MHz, which can meet the needs of counter UAV systems.","PeriodicalId":403102,"journal":{"name":"2021 International Symposium on Computer Technology and Information Science (ISCTIS)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127663678","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信