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2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)最新文献

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Application of VR technology in simulated attack training of armed helicopters VR技术在武装直升机模拟攻击训练中的应用
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016112
Xiaoqin Liu, Xu Yan, Zhihu Ding, Jun Zhang
{"title":"Application of VR technology in simulated attack training of armed helicopters","authors":"Xiaoqin Liu, Xu Yan, Zhihu Ding, Jun Zhang","doi":"10.1109/TOCS56154.2022.10016112","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016112","url":null,"abstract":"There are several shortcomings in the traditional helicopter helicopter simulation attack training model. Usually, a long period is needed to construct a simulator, and high guarantee is required, and it's very inefficient.In order to solve the above problems, a new helicopter gunship simulation attack training system is designed and implemented based on VR virtual technology. In practice, with the new simulation attack training system, the level of ground ordnance support personnel has been improved, and the ability to control and use weapons and understand weapon systems of ground ordnance support personnel has also been improved. And further, the training cycle of the gunship attack process is much shorter, and the training effect has been significantly improved.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114470599","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 efficient deep learning algorithm for predicting market trends using cyclic long short-term memory network 利用循环长短期记忆网络预测市场趋势的高效深度学习算法
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016004
Yao Qinghua, Zhang Wentao
{"title":"An efficient deep learning algorithm for predicting market trends using cyclic long short-term memory network","authors":"Yao Qinghua, Zhang Wentao","doi":"10.1109/TOCS56154.2022.10016004","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016004","url":null,"abstract":"The stock market's role in the economy has attracted researchers. Many researchers analysed stock market trend and price prediction. Previous study used neural network and statistical models to predict experimental results. Deep learning has a tremendous learning capacity and is appropriate for complicated financial time series. The cyclic long short-term memory (LSTM) network is well-suited for theoretical financial time series prediction. This study proposes an efficient deep learning approach for stock market trends prediction. This deep learning framework includes data processing, deep learning models, and prediction optimization. An optimizer namely whale optimization algorithm (WOA) enhance the RNN-LSTM network-based deep learning network prediction. Comparative models demonstrated that the proposed framework is efficient. Testing and data analysis showed that the proposed framework is effective at predicting stock market trends.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114493297","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 Digital Information Platform for Home-based Elderly Care Services 居家养老服务数字化信息平台的设计与实现
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016006
Lili Zhu, Tao Pang
{"title":"Design and Implementation of Digital Information Platform for Home-based Elderly Care Services","authors":"Lili Zhu, Tao Pang","doi":"10.1109/TOCS56154.2022.10016006","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016006","url":null,"abstract":"China has entered a comprehensive aging society, and home-based elderly care is an important form of elderly care services. With the development of society and the progress of technology, how to use digital technology to provide services for more people is one of the important topics at present. According to the current demand for home-based elderly care services in China, this paper puts forward the framework of building a digital information platform for home-based elderly care services, and provides technical support for elderly care services by establishing databases, constructing XML virtual data sources, and building search and display systems.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115880087","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 Intelligent Monitoring System for Rice Seedling 水稻苗木智能监测系统
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016044
Xiaoyan Zhou, Lihua Zou
{"title":"An Intelligent Monitoring System for Rice Seedling","authors":"Xiaoyan Zhou, Lihua Zou","doi":"10.1109/TOCS56154.2022.10016044","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016044","url":null,"abstract":"In this paper, an intelligent monitoring system of rice seedling shed is designed. The system takes STC89C52 as the main control chip, uses temperature and humidity sensor and light sensor to collect the temperature, humidity and illumination parameters of rice seedling shed, and to control the environmental parameters of seedling shed intelligently.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115285351","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
Knowledge graph technology based on Natural Language Processing and reinforcement learning e-commerce customer service 基于自然语言处理和强化学习的知识图谱技术的电子商务客服
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10015978
X. Xiao
{"title":"Knowledge graph technology based on Natural Language Processing and reinforcement learning e-commerce customer service","authors":"X. Xiao","doi":"10.1109/TOCS56154.2022.10015978","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10015978","url":null,"abstract":"In recent years, with the rapid development of e-commerce technology, the scale and number of e-commerce platforms with online retail business as the core are increasing day by day. In the service system, because the content of customer requirements is not consistent, customer service answers are different, and the question and answer service is easy to answer the questions, thus reducing customer satisfaction. Therefore, the optimization of customer service system is worthy of our in-depth study, but also worthy of high attention. Based on seque2SEque algorithm, this paper uses movie dialogue data set combined with knowledge graph technology and Markov algorithm to build a customer service robot with relatively natural response.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121777334","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
Neural Network Simulation and LSTM-based Study of Expected Return 神经网络仿真及基于lstm的期望收益研究
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016200
Miao-hsiang Lin
{"title":"Neural Network Simulation and LSTM-based Study of Expected Return","authors":"Miao-hsiang Lin","doi":"10.1109/TOCS56154.2022.10016200","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016200","url":null,"abstract":"In order to make more accurate predictions about the gold and bitcoin markets so that investors can make the best decisions, we have designed an automated buy and sell trading model. With this model, investors can make buying and selling decisions based on price trends over a period of time, thus maximizing their returns. In this paper, we build a price prediction model based on LSTM network that can predict future prices based on prices over a period of time. The prediction results and confidence level of the network can provide accurate data for the following investment decisions. In this paper, we establish an investment decision model based on price prediction. A clear judgment of the price trend over a period of time in the future allocates the existing assets according to the level of increase or decrease. Our proposed model is capable of making price forecasts with high accuracy and maximizing investors' returns on the basis of the forecasts.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121814646","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
Adaptive Inversion Sliding Mode Control of Double-joint Manipulator Based on Nonlinear Disturbance Observer 基于非线性扰动观测器的双关节机械臂自适应反演滑模控制
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016039
Hongwang Zhao
{"title":"Adaptive Inversion Sliding Mode Control of Double-joint Manipulator Based on Nonlinear Disturbance Observer","authors":"Hongwang Zhao","doi":"10.1109/TOCS56154.2022.10016039","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016039","url":null,"abstract":"In order to achieve effective control of the dual joint manipulator in the presence of interference, an adaptive inversion sliding mode control strategy based on nonlinear interference observer is designed for the dual joint manipulator: Firstly, a disturbance observer is designed based on the mathematical model of the manipulator, which effectively reduces the influence of external disturbances on the system; Furthermore, according to the sliding mode control principle, the equivalent control plus variable structure control is used to design the control law to achieve the robustness of the system. Finally, taking the two joint manipulator as the research object, the control strategy is simulated with matlab software. the results show that the control strategy based on nonlinear disturbance observer can effectively improve the anti-interference ability, and has good robustness.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"69 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113977613","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
Community Property Management System Based on J2EE 基于J2EE的社区物业管理系统
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016189
Chun Liu
{"title":"Community Property Management System Based on J2EE","authors":"Chun Liu","doi":"10.1109/TOCS56154.2022.10016189","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016189","url":null,"abstract":"With the development of information technology, users have higher and higher requirements for intelligent residential property management systems, and the importance of data information exchange between multiple systems. The purpose of this paper is to design and implement an intelligent management system based on J2EE technology research. Based on the research and analysis of the theories and practical achievements of local property management systems at home and abroad, combined with the future development trend of smart communities, an Internet-based local property management system is designed. Based on the property management of smart residential areas, the Internet of Things technology is fully utilized to realize intelligent management functions such as residential security management and remote monitoring of elevators. The implementation status of system services is checked in the form of test cases. The test results show that this intelligent system meets the requirements for official online use.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114063517","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
AV-ITN: A Method of Multimodal Video Emotional Content Analysis AV-ITN:多模态视频情感内容分析方法
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016083
L. Fu, Qiang Zhang, Rui Wang
{"title":"AV-ITN: A Method of Multimodal Video Emotional Content Analysis","authors":"L. Fu, Qiang Zhang, Rui Wang","doi":"10.1109/TOCS56154.2022.10016083","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016083","url":null,"abstract":"With the rapid development of Internet technology, social media has also developed rapidly with the support of the Internet. Social media data has grown exponentially. A large amount of data needs to be reviewed urgently. The method of machine review requires video emotional content analysis technology (Affective Video Content Analysis Technology). Analysis, AVCA) support. A large number of studies have shown that the use of deep learning methods to achieve emotional content analysis is currently the most effective method, and its effect is better than traditional algorithms and manual methods. Based on this, this paper proposes a multi-modal video sentiment analysis algorithm AVITN that utilizes both audio and video modal information to promote sentiment analysis in videos. AV-ITN achieves a high accuracy rate of 83.66% on the IEMOCAP benchmark. The multimodal video sentiment analysis algorithm proposed in this paper can obtain more emotional information contained in the video and effectively improve the accuracy of video sentiment analysis.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124000526","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
Sound anomaly detection of industrial products based on MFCC fusion short-time energy feature extraction 基于MFCC融合短时能量特征提取的工业品声异常检测
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016076
Fan Hua, Li Li
{"title":"Sound anomaly detection of industrial products based on MFCC fusion short-time energy feature extraction","authors":"Fan Hua, Li Li","doi":"10.1109/TOCS56154.2022.10016076","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016076","url":null,"abstract":"Bearing, gear and traditional parts play an important role in the whole mechanical field, and the probability of failure is much higher than that of other mechanical structures, so it is particularly important to carry out state detection and fault diagnosis for such parts. In this paper, a feature extraction method based on Mel Frequency Cepstrum Coefficient (MFCC) fusion of short-time energy features is proposed, and Deep Neural Networks (DNN) is used to identify whether the sound of industrial products at work is abnormal. In this paper, due to the addition of short-term energy information, the information of speech signals can be more accurately obtained, which has better performance than MFCC feature extraction.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125815621","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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