2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)最新文献_第6页

Real Time Noise Power Estimation for Single Carrier Frequency Domain Equalization 单载波频域均衡的实时噪声功率估计

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI: 10.1109/ICCCS52626.2021.9449285

Qinyuan Zhao, Xiangyuan Bu, Zhenyi Song, Jinhui Fang, Shuai Wang

{"title":"Real Time Noise Power Estimation for Single Carrier Frequency Domain Equalization","authors":"Qinyuan Zhao, Xiangyuan Bu, Zhenyi Song, Jinhui Fang, Shuai Wang","doi":"10.1109/ICCCS52626.2021.9449285","DOIUrl":"https://doi.org/10.1109/ICCCS52626.2021.9449285","url":null,"abstract":"Wireless broadband high-speed data transmission technology is one of the key technologies used to realize mutual communication between various unmanned vehicles, unmanned ships and unmanned aerial vehicles in the future civil and military fields. Since data transfer rate is continuously increasing and the multipath effect of the near-earth channel brings frequency selective fading, the receiver usually uses an adaptive equalizer to eliminate inter-symbol interference (ISI). Instead of the time-domain-equalization methods commonly used in current engineering implementations, in this article, we use the frequency-domain MMSE equalization algorithm to give a realtime accurate estimation method for the “noise power” coefficient in the equalizer parameters during engineering implementation. In this article, we will explain the system design and demodulation methods required for real-time noise estimation based on frequency-domain MMSE equalization, and discuss the performance advantages over time domain equalization without increasing the complexity of the algorithm. It is demonstrated that it can be better applied to high-speed data communication under multipath fading channels. The algorithm is verified through computer simulation and field measurement.","PeriodicalId":376290,"journal":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114252317","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

Tactical Intention Recognition in Wargame 战争游戏中的战术意图识别

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI: 10.1109/ICCCS52626.2021.9449256

Xuan Liu, Meijing Zhao, Song Dai, Qiyue Yin, Wancheng Ni

引用次数: 1

Adversarial Learning with Domain-Adaptive Pretraining for Few-Shot Relation Classification across Domains 基于领域自适应预训练的对抗性学习跨领域关联分类

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI: 10.1109/ICCCS52626.2021.9449297

Wen Qian, Yuesheng Zhu

引用次数: 2

Research Progress and Prospect of Ultraviolet Communication 紫外通信的研究进展与展望

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI: 10.1109/ICCCS52626.2021.9449099

Yunfeng Tang, Enxiao Liu, Chen Tao, Jianjun Yang, Jianpo Liu, Lei Zhang, Wenji Zhang, Haiyong Wang

引用次数: 0

A Novel Learning Method for Traffic Flow Forecasting by Seasonal SVR with Chaotic Simulated Annealing Algorithm 基于混沌模拟退火算法的季节性SVR交通流预测学习新方法

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI: 10.1109/ICCCS52626.2021.9449161

Shaofei Liu, Ying Lin, Chao Luo, Weiye Shi

{"title":"A Novel Learning Method for Traffic Flow Forecasting by Seasonal SVR with Chaotic Simulated Annealing Algorithm","authors":"Shaofei Liu, Ying Lin, Chao Luo, Weiye Shi","doi":"10.1109/ICCCS52626.2021.9449161","DOIUrl":"https://doi.org/10.1109/ICCCS52626.2021.9449161","url":null,"abstract":"The prediction of traffic flow in cities has always been one of the most important issues in the study of road traffic congestion in the world. However, it is difficult to accurately predict the traffic flow between cities, because the traffic flow prediction process involves a more complex nonlinear data model, especially during the daily peak hours, the traffic flow data presents a cycle Sexual (seasonal) trends. In recent years, support vector regression (SVR) has been widely used to solve nonlinear regression and time series problems. This paper uses a combination of chaos theory and simulated annealing algorithm to optimize the kernel parameters of the correlation vector machine. However, for the time being, there is no recognized SVR model to deal with cyclical (seasonal) trend time series. This paper proposes a traffic flow prediction model, which combines seasonal support vector regression model and chaotic simulated annealing algorithm (SSVRCSA) to predict the traffic flow between cities. Under previous research, support vector regression using chaotic sequence and simulated annealing algorithm has shown its advantages, which can effectively avoid falling into local optimal. Experimental results show that the proposed SSVRCSA model can produce more accurate prediction results than other alternative methods. This research finally proposed a prediction model that blends the seasonal support vector regression model and the chaotic cloud simulated annealing algorithm (SSVRCCSA) to obtain more accurate prediction performance. The experimental results show that the proposed SSVRCCSA model is more accurate than other methods.","PeriodicalId":376290,"journal":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125482368","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

Research and Design of Big Data Relevance Analysis System for Land Development Industry Chain 土地开发产业链大数据关联分析系统研究与设计

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI: 10.1109/ICCCS52626.2021.9449181

X. Xie, Jingyi Shen, Yifan Zhao, R. Yang

引用次数: 1

A Design of on-Line Intelligent Sensor Unit for Fluorine Chemical Rotary Equipment 氟化工旋转设备在线智能传感器单元的设计

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI: 10.1109/ICCCS52626.2021.9449272

Hongfang Yuan, Peng Lei, Xi Cao

引用次数: 0

Hierarchical Encoder-Decoder Summary Model with an Instructor for Long Academic Papers 分层编码器-解码器总结模型与讲师长学术论文

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI: 10.1109/ICCCS52626.2021.9449262

Jianling Li, Wuhang Lin, Shasha Li, Jie Yu, Jun Ma

{"title":"Hierarchical Encoder-Decoder Summary Model with an Instructor for Long Academic Papers","authors":"Jianling Li, Wuhang Lin, Shasha Li, Jie Yu, Jun Ma","doi":"10.1109/ICCCS52626.2021.9449262","DOIUrl":"https://doi.org/10.1109/ICCCS52626.2021.9449262","url":null,"abstract":"Summary models, whether extractive or abstractive, have achieved great success recently. For long academic papers, the abstractive model with the encoder-decoder architecture mainly only relies on the attentional context vector for generation, unlike humans who have already mastered the salient information of the source text to have full control over what to write. While the extracted sentences always contain the correct and salient information which can be used to control the abstraction process. Therefore, based on a hierarchical encoder-decoder architecture specifically for academic papers, we proposed a summary model with an Instructor, an encoder in essence by taking the guiding sentences as the input to further control the generating process. In the encoder part, the final hidden state from Instructor is directly added to the basic hierarchical hidden state from the encoder. Experimental results on arXiv/PubMed show that the only encoder-improved model can generate better abstract. In the decoder part, the context vector from Instructor is integrated with the original discourse-aware context vector for the generation. The results show that Instructor is effective for control and our model can generate a more accurate and fluent abstract with significantly higher ROUGE values.","PeriodicalId":376290,"journal":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124605232","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 Comparative Study of RNN-based Methods for Web Malicious Code Detection 基于rnn的Web恶意代码检测方法比较研究

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI: 10.1109/ICCCS52626.2021.9449245

Zhibin Guan, Jiajie Wang, Xiaomeng Wang, Wei Xin, Jing Cui, Xiangping Jing

{"title":"A Comparative Study of RNN-based Methods for Web Malicious Code Detection","authors":"Zhibin Guan, Jiajie Wang, Xiaomeng Wang, Wei Xin, Jing Cui, Xiangping Jing","doi":"10.1109/ICCCS52626.2021.9449245","DOIUrl":"https://doi.org/10.1109/ICCCS52626.2021.9449245","url":null,"abstract":"Malicious code can be embedded into Web applications in various ways, which will lead to frequent malicious Web attacks. In the deep learning-based Web malicious code detection methods, the effect and applicability of different RNN-based methods are unknown, which needs to be further study. Therefore, a comparative study of RNN-based methods for Web malicious code detection was conducted in this paper. Different from existing research, this paper not only analyzes and discusses the advantages and disadvantages of different RNN-based methods, including LSTM, GRU, SRU, but also utilizes Web malicious code detection as the application target to evaluate the actual performance of these methods. Experiment results show that the recall rates of GRU and SRU are 81.07% and 80.96%, respectively, which are higher than LSTM and minimalRNN. The performance of textCNN is relatively satisfactory, with scores of 90.6%, 85.54%, 87.95%, 94.4% in terms of precision, recall, F1 and AUC respectively. The comparative study displays that the performance of RNN-based Web malicious code detection methods is greatly affected by the preprocessing ways of source code.","PeriodicalId":376290,"journal":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116490416","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

Post Quantum Blockchain with Segregation Witness 后量子区块链与隔离见证

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI: 10.1109/ICCCS52626.2021.9449309

Bengang Li, Faguo Wu

{"title":"Post Quantum Blockchain with Segregation Witness","authors":"Bengang Li, Faguo Wu","doi":"10.1109/ICCCS52626.2021.9449309","DOIUrl":"https://doi.org/10.1109/ICCCS52626.2021.9449309","url":null,"abstract":"Blockchain is a very important technology and financial innovation since the birth of the Internet. It is an innovative and integrated application of many technologies, with the characteristics of open and transparent data, not easy to tamper with, easy to trace and so on. Its cryptographic security relies on asymmetric cryptography, such as ECC, RSA. However, with the surprising development of quantum technology, asymmetric cryptography schemes mentioned above would become vulnerable. Recently, some lattice-based blockchain systems have been proposed to be secure against attacks in the quantum era. Although these schemes have theoretical significance, it is unpractical in actual situation due to handling capacity. In this paper, aiming at tackling the critical issue of throughput, we proposed post quantum blockchain with segregation witness which can effectively the proportion of signatures in block size. Based on the hardness assumption of Short Integer Solution (SIS), we demonstrate that the proposed post quantum blockchain with segregation witness existential unforgeability against adaptive chosen-message attacks in the random oracle. As compared to the existing scheme, our scheme has better performance in handling capacity. As the underlying lattice problem is intractable even for quantum computers, our scheme would work well in the quantum age.","PeriodicalId":376290,"journal":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133213483","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