发布求助
文献互助 智能选刊 最新文献

2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)最新文献

筛选
英文 中文
SVGAN: Semi-supervised Generative Adversarial Network for Image Captioning 图像标注的半监督生成对抗网络
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339713
Yi Zhang, Weizhen Zeng, Gangqiang He, Yueyuan Liu
{"title":"SVGAN: Semi-supervised Generative Adversarial Network for Image Captioning","authors":"Yi Zhang, Weizhen Zeng, Gangqiang He, Yueyuan Liu","doi":"10.1109/TOCS50858.2020.9339713","DOIUrl":"https://doi.org/10.1109/TOCS50858.2020.9339713","url":null,"abstract":"Image captioning is a task that enables computer to naturally describe the contents of an image like a human, moreover it involves two different major research fields of computer vision and natural language processing. In this paper, a new image captioning system is proposed, which can address the challenges of automatically describing images in the wild. Built on the state-of-the-art caption framework, we designed a deep visual detector to catch a broad range of visual concepts, a GAN(Generative Adversarial Network) with graph embedding is developed to generate accurate sentences for wild images.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126176325","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
Detection and Research on Unsafe Driving of Taxi Drivers 出租车司机不安全驾驶的检测与研究
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339721
Xiaoyu Wu, Yu Wang, Naimeng Cang
{"title":"Detection and Research on Unsafe Driving of Taxi Drivers","authors":"Xiaoyu Wu, Yu Wang, Naimeng Cang","doi":"10.1109/TOCS50858.2020.9339721","DOIUrl":"https://doi.org/10.1109/TOCS50858.2020.9339721","url":null,"abstract":"In response to the unsafe driving of taxi drivers during the epidemic, the design and implementation of the driver's face registration and detection of whether the driver wears a mask, detection of the driver's fatigue physiological signals and multiple integration are designed. Target detection algorithm based on MobileNetV2 to realize mask detection. Combine MTCNN and Face-Net organically to realize driver's face login. The cerebellar neural network model is used to fuse the 12 fatigue monitoring signals EMG, EEG, etc. extracted by the simulated driving experiment platform to obtain a multi-integrated fatigue monitoring control model. After the fatigue driving multiple physiological indicators of the simulated driving platform, the technical model is studied and verified. It is concluded that the multiple fusion fatigue monitoring control model has higher accuracy than the traditional single signal monitoring.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116221010","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
Dual-Band BPF with Independently Controllable Center Frequencies Using Narrow-Closed-Loop Loaded Resonator 中心频率独立可控的窄带闭环负载谐振器双带BPF
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339700
Xingbing Ma
{"title":"Dual-Band BPF with Independently Controllable Center Frequencies Using Narrow-Closed-Loop Loaded Resonator","authors":"Xingbing Ma","doi":"10.1109/TOCS50858.2020.9339700","DOIUrl":"https://doi.org/10.1109/TOCS50858.2020.9339700","url":null,"abstract":"To gain separately controlled center frequencies and realize miniaturization, this article presents a dual-band bandpass filter (BPF) adopting narrow-closed-loop loaded resonator (NCLLR). By adjusting two narrow-side positions (namely the size of narrow-closed-loop), center frequencies of two passbands can be independently shifted in a certain area, respectively. Moreover, in order to achieve high selectivity in frequency characteristic domain, tapped-line coupling is applied to introduce three/four transmission zeroes (TZs) on either side of two target passbands. Good characteristics in passbands can be obtained by optimizing coupling gap and tapping position of stepped impedance I/O feed lines. Simulated and measured results are in good agreement.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114912828","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 the Construction of Smart Factory for Mass Personalization Production 面向大规模个性化生产的智能工厂建设研究
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339751
Minghuo Xia, Yu'an He
{"title":"Research on the Construction of Smart Factory for Mass Personalization Production","authors":"Minghuo Xia, Yu'an He","doi":"10.1109/TOCS50858.2020.9339751","DOIUrl":"https://doi.org/10.1109/TOCS50858.2020.9339751","url":null,"abstract":"According to the concept and characteristics of the mass personalization production mode, combined with the concept of “Internet + Manufacturing” and related technologies of the industry 4.0 strategy, this paper proposes an overall framework of a smart factory for mass personalization production, and analyzes the key technologies and functional modules of the framework in detail. Taking the production of personalization bicycles in a bicycle intelligent manufacturing laboratory as an example to illustrate the process of achieving mass personalization production.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129971022","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
Application of Intelligent Clustering Algorithm in Image Processing 智能聚类算法在图像处理中的应用
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339705
Lu Rui
{"title":"Application of Intelligent Clustering Algorithm in Image Processing","authors":"Lu Rui","doi":"10.1109/TOCS50858.2020.9339705","DOIUrl":"https://doi.org/10.1109/TOCS50858.2020.9339705","url":null,"abstract":"In order to solve the limitation of traditional K-means algorithm in dealing with large-scale data, a fast approximate k-means algorithm (FAKM) is proposed based on the approximate k-means algorithm (AKM) and the idea of classifying the cluster centers. The algorithm omits the cluster centers which only obtain a few samples in the AKM clustering results, and makes full use of the cluster centers with dense and stable samples in the cluster, In the iterative process, the number of samples and categories to be clustered is gradually reduced, which improves the speed of the algorithm and simplifies the clustering results. The FAKM algorithm is applied to the actual image retrieval system, and the experimental results show that the retrieval accuracy, retrieval time and clustering time of the system are greatly improved","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122666051","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 Integrated Electro-mechanical (EMA)Servo System 集成机电伺服系统的研究
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339615
Helong Wang, Y. Jiang, Chong Qi, Junyan Li
{"title":"Research on Integrated Electro-mechanical (EMA)Servo System","authors":"Helong Wang, Y. Jiang, Chong Qi, Junyan Li","doi":"10.1109/TOCS50858.2020.9339615","DOIUrl":"https://doi.org/10.1109/TOCS50858.2020.9339615","url":null,"abstract":"This paper designs an integrated electromechanical servo system of control, drive and actuator to solve the technical problems of large weight and volume caused by the low degree of integration of traditional servo systems. It mainly includes the following aspects, the design composition and working principle of the integrated integrated electromechanical servo system, the simulation analysis of integrated integrated servo system, and the experimental research of integrated integrated servo system.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123080794","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: 2
An overview of biological data generation using generative adversarial networks 使用生成对抗网络生成生物数据的概述
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339748
Lin Liu, Yujing Xia, Lin Tang
{"title":"An overview of biological data generation using generative adversarial networks","authors":"Lin Liu, Yujing Xia, Lin Tang","doi":"10.1109/TOCS50858.2020.9339748","DOIUrl":"https://doi.org/10.1109/TOCS50858.2020.9339748","url":null,"abstract":"Due to the high cost of biological data access and the privacy issues, collecting a large amount of biological data for training deep learning model is difficult in the field of biology. Concerning this issue, this article focuses on generative adversarial networks (GANs), which is a special type of deep learning model, and reviews their representative applications for generating biological data. We briefly introduced the working principle of GAN, and numerous applications to the areas of various biological data. In this paper, the types of biological data generated by GAN are categorized into two areas: biological sequences and two-dimensional data. These related studies indicated that GANs are able to explore the space of possible data configurations, and tuning the generated data to have specific target properties. This article will provide valuable insights and serve as a starting point for carrying out further studies for researchers.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114513240","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 chromatography workstation built on a database and its applications 建立在数据库上的色谱工作站及其应用
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339701
Linjun Li, Bo Wang, Xinyong Zhu, Denggang Yin
{"title":"A chromatography workstation built on a database and its applications","authors":"Linjun Li, Bo Wang, Xinyong Zhu, Denggang Yin","doi":"10.1109/TOCS50858.2020.9339701","DOIUrl":"https://doi.org/10.1109/TOCS50858.2020.9339701","url":null,"abstract":"Chromatography is a technique used to separate, quantify each component in a mixture and is widely used in chemistry and biology. In experiments, the control of the segments of the equipment, the acquisition of data, and the complex analysis of data determine the results of chromatography. The chromatography workstation is a unique tool for experimenters to make the quantitative analysis. However, the existed workstations inherit the traditional frameworks and only partially introduce the database to manage the experimental process. This paper introduces a chromatography workstation that is completely built on a database and can use high-efficient data sheets to implement a thorough procedure from the control of the equipment, data acquisition to data analysis, user management, and report printing, and therefore substantially improves the efficiency of the analysis and the maintainability of data.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132810272","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
Routing Algorithm in Networks on the Globe 全球网络中的路由算法
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339716
S. Bose
{"title":"Routing Algorithm in Networks on the Globe","authors":"S. Bose","doi":"10.1109/TOCS50858.2020.9339716","DOIUrl":"https://doi.org/10.1109/TOCS50858.2020.9339716","url":null,"abstract":"Packet switching of data in networks is done by either the distance-vector or the link-state routing protocols. These protocols use the Bellman-Ford and the Dijkstra's algorithms respectively for the least cost path from a source base station to a destination station. For inter-network transmission, the path-vector routing protocol is in use. With progress of time, the network topologies are becoming huge in size, requiring large demand on book keeping of routing tables and transmission of the data packets dynamically to several other stations of the net-work by broadcast, increasing the load on the network. Here, assuming the router stations to be terrestrially located with links along the ground, a large network is assumed to lie on a spherical surface, and so the shortest geodesic path from source to destination becomes a great circular arc. For fast transmission, the cost of a link to a node is multicast to its neighboring nodes only for selection of the path lying as close as possible to the geodesic line between the source and the destination. As the arrival and dispatch of data packets at a nodal station occurs randomly, the cost of a link is estimated in this paper by the waiting time of a queueing process. This process at a router station is thus modeled by the Markovian M/M/c model, where c is the number of servers at the router station. If other commercial fixed charge is involved for the use of a link, then that can be included in the total cost of a link. Finally, a method of search of a mobile destination is also presented using sphericity of the network. Algorithms for the near geodesic path, costs of links as waiting times and destination search in mobile environment are clearly presented.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114870257","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
Prediction of Respirable Dust Concentration in Coal Mine Based on Neural Network 基于神经网络的煤矿呼吸性粉尘浓度预测
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339759
Lifeng Hui
{"title":"Prediction of Respirable Dust Concentration in Coal Mine Based on Neural Network","authors":"Lifeng Hui","doi":"10.1109/TOCS50858.2020.9339759","DOIUrl":"https://doi.org/10.1109/TOCS50858.2020.9339759","url":null,"abstract":"Pneumoconiosis is the most important occupational disease in China, and respiratory respirable dust is the main cause of pneumoconiosis. It can effectively reduce the incidence of pneumoconiosis by improving the monitoring and supervision level of respiratory dust concentration in the workplace. In order to solve the shortcomings of obtaining the concentration of respirable dust in mines by methods such as sampling by respirable dust samplers and numerical simulation experiments, an artificial neural network is proposed to predict the concentration of respirable dust. The factors affecting the concentration of respirable dust in coal mining face were analyzed, and the neural network structure for predicting respirable dust was established in this paper. Through training by selecting measured data, it was found that the error between the predicted result and the measured concentration was less than 15%, which was better than the error of regulations of dust measuring instruments. The results of the study have a certain reference effect on the prediction and prevention of respiratory dust in coal mines and the reduction of the incidence of pneumoconiosis.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125282057","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
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：481959085
Book学术官方微信