Pub Date : 2019-10-01DOI: 10.1109/ICCT46805.2019.8947151
Zilong Zhang, Yanan Wu, Sheng-feng Chen
In communication systems, multi-path transmission could improve spectrum efficiency and reduce time delay markedly. In this paper, two transmission modes which employ the network coding and the data allocating jointly are proposed for multi-path communication systems, called the data allocating and network coding (DANC) mode and network coding and data allocating (NCDA) mode. The big different is, the former allocates data to each feasible path and then does network coding, while the latter swaps the order of two operations. Corresponding optimization problem are solved with an iterative process based on traditional branch and bound algorithm. The qualitative analyses of the operation order, reasons for the performance gap and advantages of different modes are also provided. Simulation results under different conditions demonstrate that the proposed transmission methods could improve the time delay performance effectively.
{"title":"Designing Real-Time Transmission Mode for Multi-Path Communication Systems","authors":"Zilong Zhang, Yanan Wu, Sheng-feng Chen","doi":"10.1109/ICCT46805.2019.8947151","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947151","url":null,"abstract":"In communication systems, multi-path transmission could improve spectrum efficiency and reduce time delay markedly. In this paper, two transmission modes which employ the network coding and the data allocating jointly are proposed for multi-path communication systems, called the data allocating and network coding (DANC) mode and network coding and data allocating (NCDA) mode. The big different is, the former allocates data to each feasible path and then does network coding, while the latter swaps the order of two operations. Corresponding optimization problem are solved with an iterative process based on traditional branch and bound algorithm. The qualitative analyses of the operation order, reasons for the performance gap and advantages of different modes are also provided. Simulation results under different conditions demonstrate that the proposed transmission methods could improve the time delay performance effectively.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"2 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120859575","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}
Pub Date : 2019-10-01DOI: 10.1109/ICCT46805.2019.8947267
Chuan Peng, Tian Lan, Yuxin Qian, M. Li, Qiao Liu
Speech enhancement is a task to improve the quality and intelligibility of degraded speech. Recent work shows convolutional neural network (CNN) with encoder-decoder architecture can achieve better performance with fewer parameters than the feed-forward neural network (FNN) and recurrent neural network (RNN). It inspires us to build a CNN model based on state-of-the-art encoder-decoder architecture, RefineNet, whose effectiveness has been proved for high-resolution semantic segmentation. In this work, RefineNet is used to exploit multi-level time-frequency features for generating high-level features. Furthermore, some works concern that the inconsistency between evaluation metrics and training loss may result in failing to obtain the optimal model by training. Therefore, we take metrics as loss and composite them. Furthermore, the waveform MSE loss, which contains phase information, is also composited to compensate for using noisy phase to reconstruct enhanced speech. Experiments show our model achieves high quality and intelligibility and outperform baselines, especially at a low signal-to-noise ratio.
{"title":"RefineNet-Based Speech Enhancement with Composite Metric Loss Training","authors":"Chuan Peng, Tian Lan, Yuxin Qian, M. Li, Qiao Liu","doi":"10.1109/ICCT46805.2019.8947267","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947267","url":null,"abstract":"Speech enhancement is a task to improve the quality and intelligibility of degraded speech. Recent work shows convolutional neural network (CNN) with encoder-decoder architecture can achieve better performance with fewer parameters than the feed-forward neural network (FNN) and recurrent neural network (RNN). It inspires us to build a CNN model based on state-of-the-art encoder-decoder architecture, RefineNet, whose effectiveness has been proved for high-resolution semantic segmentation. In this work, RefineNet is used to exploit multi-level time-frequency features for generating high-level features. Furthermore, some works concern that the inconsistency between evaluation metrics and training loss may result in failing to obtain the optimal model by training. Therefore, we take metrics as loss and composite them. Furthermore, the waveform MSE loss, which contains phase information, is also composited to compensate for using noisy phase to reconstruct enhanced speech. Experiments show our model achieves high quality and intelligibility and outperform baselines, especially at a low signal-to-noise ratio.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116016955","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}
Pub Date : 2019-10-01DOI: 10.1109/ICCT46805.2019.8947309
Jun Tao, Min Du, YunLing Zhang, Lixiang Ma
This paper introduces the basic concepts of IPTV and multicast technology, and proposes a USDP algorithm to overcome the shortcomings of MSDP algorithm. After the simulation experiment has achieved good results, according to the USDP algorithm, a scheme of IPTV bearer network based on multicast and QOS technology is proposed. After the implementation of the scheme, the network data are collected and analyzed. It is verified that the scheme reduces the network traffic load, reduces the transmission delay and ensures the normal operation of key services.
{"title":"An IPTV Video Stream Transmission Algorithm Based on Multicast and QoS","authors":"Jun Tao, Min Du, YunLing Zhang, Lixiang Ma","doi":"10.1109/ICCT46805.2019.8947309","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947309","url":null,"abstract":"This paper introduces the basic concepts of IPTV and multicast technology, and proposes a USDP algorithm to overcome the shortcomings of MSDP algorithm. After the simulation experiment has achieved good results, according to the USDP algorithm, a scheme of IPTV bearer network based on multicast and QOS technology is proposed. After the implementation of the scheme, the network data are collected and analyzed. It is verified that the scheme reduces the network traffic load, reduces the transmission delay and ensures the normal operation of key services.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"1019 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116252164","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}
Pub Date : 2019-10-01DOI: 10.1109/ICCT46805.2019.8947150
Jiaqiang Dong, Wenfei Gong
With the increasing number of users of broadband digital trunking communication systems, the architecture of the digital trunking communication system is shifting from a centralized architecture to a distributed architecture. In order to balance the load of multiple media servers and reduce the delay of voice forwarding in a distributed trunking communication system, this paper proposed a load balancing algorithm for media server in distributed trunking communication system. According to the linear relationship between the load increment of the media server and the number of participants in the call, the algorithm establishes the load prediction model of the media server, predicts and adjusts the load of multiple media servers in the distributed trunking communication system in real time, and selects the media server with the least load for voice rewarding. Theoretical analysis and experimental results show that the algorithm has lower response time and better load balancing effect compared with the traditional load balancing algorithm.
{"title":"A Load Balancing Algorithm for Media Server in Distributed Trunking Communication System","authors":"Jiaqiang Dong, Wenfei Gong","doi":"10.1109/ICCT46805.2019.8947150","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947150","url":null,"abstract":"With the increasing number of users of broadband digital trunking communication systems, the architecture of the digital trunking communication system is shifting from a centralized architecture to a distributed architecture. In order to balance the load of multiple media servers and reduce the delay of voice forwarding in a distributed trunking communication system, this paper proposed a load balancing algorithm for media server in distributed trunking communication system. According to the linear relationship between the load increment of the media server and the number of participants in the call, the algorithm establishes the load prediction model of the media server, predicts and adjusts the load of multiple media servers in the distributed trunking communication system in real time, and selects the media server with the least load for voice rewarding. Theoretical analysis and experimental results show that the algorithm has lower response time and better load balancing effect compared with the traditional load balancing algorithm.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121864351","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}
Pub Date : 2019-10-01DOI: 10.1109/ICCT46805.2019.8946998
Lijun Zhou, Haiyan Lv, Yuan Zhao, Jie Zhang
In this paper, the framework of distributed fault detection for trusted computing is designed, and the operation process of fault detection system is drawn. Aiming at the requirement of distributed fault detection, a distributed fault monitoring mode based on self-organizing network is designed, which solves the key problems of entity monitoring coverage, real-time message dissemination and survivability of monitoring function. In view of the coverage of message dissemination in self-organizing monitoring domain, theoretical analysis and experimental verification are carried out.
{"title":"Research on Fault Detection Technology of Information System Based on Trusted Computing","authors":"Lijun Zhou, Haiyan Lv, Yuan Zhao, Jie Zhang","doi":"10.1109/ICCT46805.2019.8946998","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8946998","url":null,"abstract":"In this paper, the framework of distributed fault detection for trusted computing is designed, and the operation process of fault detection system is drawn. Aiming at the requirement of distributed fault detection, a distributed fault monitoring mode based on self-organizing network is designed, which solves the key problems of entity monitoring coverage, real-time message dissemination and survivability of monitoring function. In view of the coverage of message dissemination in self-organizing monitoring domain, theoretical analysis and experimental verification are carried out.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116903266","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}
Pub Date : 2019-10-01DOI: 10.1109/ICCT46805.2019.8947099
Cam Nguyen Tan, Toàn Nguyên, Khanh Nguyen, Tuan A. Nguyen, V. Pham
Android operating system always occupies the highest market share in mobile operating systems. Security analysis on Android operating systems often focuses on analyzing applications (APK files) when installed on the phone. There are few studies analyzing Android firmware, especially customized Android firmware. In this study, we propose a model to analyze Android firmware using a distribution model. The proposed system can be deployed on a distributed network system, which allows for multiple Android firmware analysis requests at the same time. Experimental results show that the performance of the proposed system is better than the single node model. Besides, we also discovered many malware in preinstalled applications in custom Android firmware in the wild.
{"title":"Detect Malware in Android Firmware Based on Distributed Network Environment","authors":"Cam Nguyen Tan, Toàn Nguyên, Khanh Nguyen, Tuan A. Nguyen, V. Pham","doi":"10.1109/ICCT46805.2019.8947099","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947099","url":null,"abstract":"Android operating system always occupies the highest market share in mobile operating systems. Security analysis on Android operating systems often focuses on analyzing applications (APK files) when installed on the phone. There are few studies analyzing Android firmware, especially customized Android firmware. In this study, we propose a model to analyze Android firmware using a distribution model. The proposed system can be deployed on a distributed network system, which allows for multiple Android firmware analysis requests at the same time. Experimental results show that the performance of the proposed system is better than the single node model. Besides, we also discovered many malware in preinstalled applications in custom Android firmware in the wild.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124524298","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}
Pub Date : 2019-10-01DOI: 10.1109/icct46805.2019.8947157
{"title":"ICCT 2019 Table of Contents","authors":"","doi":"10.1109/icct46805.2019.8947157","DOIUrl":"https://doi.org/10.1109/icct46805.2019.8947157","url":null,"abstract":"","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129328520","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}
Pub Date : 2019-10-01DOI: 10.1109/ICCT46805.2019.8947121
Ning Li, Z. Deng, Qiaodi Zhu, Qin Du
In a highly dynamic satellite network, frequent switching of satellite links leads to in-stability of the connection, which greatly increases the occurrence of packet loss. Existing TCP senders cannot effectively distinguish the types of network packet loss, resulting in lower network utilization. This paper proposes a machine learning-based congestion control strategy AdaBoost-TCP. AdaBoost-TCP constructs an adaptive Boost recognition model that can effectively classify the packet loss type in the satellite network. The receiver uses the model to differentiate the type of lost packets and combines the ECN flag to transmit the result to the sender. The sender adopts adaptive congestion control measures according to the type of packet loss obtained. Ada-Boost-TCP can have better classification speed and higher efficiency without increasing network load. From the ns-2 simulation results, when the packet loss rate is be-tween10-5-10-4, the AdaBoost-TCP strategy can increase throughput by up to 10% compared to Hybla, CUBIC, and Westwood. What’s more, it can achieve good fair-ness compared to NewReno.
{"title":"AdaBoost-TCP: A Machine Learning-Based Congestion Control Method for Satellite Networks","authors":"Ning Li, Z. Deng, Qiaodi Zhu, Qin Du","doi":"10.1109/ICCT46805.2019.8947121","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947121","url":null,"abstract":"In a highly dynamic satellite network, frequent switching of satellite links leads to in-stability of the connection, which greatly increases the occurrence of packet loss. Existing TCP senders cannot effectively distinguish the types of network packet loss, resulting in lower network utilization. This paper proposes a machine learning-based congestion control strategy AdaBoost-TCP. AdaBoost-TCP constructs an adaptive Boost recognition model that can effectively classify the packet loss type in the satellite network. The receiver uses the model to differentiate the type of lost packets and combines the ECN flag to transmit the result to the sender. The sender adopts adaptive congestion control measures according to the type of packet loss obtained. Ada-Boost-TCP can have better classification speed and higher efficiency without increasing network load. From the ns-2 simulation results, when the packet loss rate is be-tween10-5-10-4, the AdaBoost-TCP strategy can increase throughput by up to 10% compared to Hybla, CUBIC, and Westwood. What’s more, it can achieve good fair-ness compared to NewReno.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129621485","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}
Pub Date : 2019-10-01DOI: 10.1109/ICCT46805.2019.8947108
Fei Yang, Xin Ming, Yongzhe Xu, Ziqiang Huang
In order to improve the utilization of frequency band in Free Space Optical communication (FSO) system and mitigate the negative effects of atmospheric turbulence noise on the system, a differential amplitude pulse-position modulation (DAPPM) based on Turbo coding is put forward. Firstly, the Gamma-Gamma turbulence channel model is introduced. Based on this, the symbolic structure, frequency band characteristics, modulation and demodulation method of DAPPM are analyzed. Finally, the FSO system based on Turbo coding and DAPPM is analyzed and numerical simulation is carried out using MATLAB simulation software. The results show that the introduction of Turbo coding technology in DAPPM optical communication system can deal with the influence of channel noise and reduce the system error rate better.
{"title":"Research on Unite DAPPM with Turbo Code in Free Space Optical Communication","authors":"Fei Yang, Xin Ming, Yongzhe Xu, Ziqiang Huang","doi":"10.1109/ICCT46805.2019.8947108","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947108","url":null,"abstract":"In order to improve the utilization of frequency band in Free Space Optical communication (FSO) system and mitigate the negative effects of atmospheric turbulence noise on the system, a differential amplitude pulse-position modulation (DAPPM) based on Turbo coding is put forward. Firstly, the Gamma-Gamma turbulence channel model is introduced. Based on this, the symbolic structure, frequency band characteristics, modulation and demodulation method of DAPPM are analyzed. Finally, the FSO system based on Turbo coding and DAPPM is analyzed and numerical simulation is carried out using MATLAB simulation software. The results show that the introduction of Turbo coding technology in DAPPM optical communication system can deal with the influence of channel noise and reduce the system error rate better.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129121238","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}
Pub Date : 2019-10-01DOI: 10.1109/ICCT46805.2019.8947069
B. Guo, Zhaorui Li, Yi Xiao, Lin Shi, Ning Han, Xiaoxiu Zhu
When the high-speed moving target is imaging in inverse synthetic aperture radar (ISAR), the echoes are subject to inner-pulse Doppler modulation, resulting in a one-dimensional range profile broadening of the main lobe, which will affect subsequent target imaging and recognition. Aiming at the ISAR imaging of high-speed moving target, this paper proposed an inner-pulse speed compensation algorithm. Firstly, the high-speed moving target echo model is built, and the influence of high-speed motion on the chirp rate of the echo is analyzed. Secondly, the inner-pulse speed compensation of the echo is completed based on the phase compensation method, so that the echo signal satisfies the “stop-go" model requirement. Then, let the minimum entropy of the waveform as the objective function, a target speed estimation algorithm based on simulate anneal (SA) is proposed. Finally, the simulation experiment is carried out to verify the effectiveness of the proposed algorithm. The SA algorithm used to estimate the target speed in this paper is a global optimization algorithm. It is not necessary to set the speed search range, and the algorithm has no requirement for speed prediction. Moreover, the waveform entropy is used as the objective function for optimization, and the useful information of the echo is fully utilized, which makes the algorithm has the advantages of high precision.
{"title":"ISAR Speed Compensation Algorithm for High-speed Moving Target Based on Simulate Anneal","authors":"B. Guo, Zhaorui Li, Yi Xiao, Lin Shi, Ning Han, Xiaoxiu Zhu","doi":"10.1109/ICCT46805.2019.8947069","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947069","url":null,"abstract":"When the high-speed moving target is imaging in inverse synthetic aperture radar (ISAR), the echoes are subject to inner-pulse Doppler modulation, resulting in a one-dimensional range profile broadening of the main lobe, which will affect subsequent target imaging and recognition. Aiming at the ISAR imaging of high-speed moving target, this paper proposed an inner-pulse speed compensation algorithm. Firstly, the high-speed moving target echo model is built, and the influence of high-speed motion on the chirp rate of the echo is analyzed. Secondly, the inner-pulse speed compensation of the echo is completed based on the phase compensation method, so that the echo signal satisfies the “stop-go\" model requirement. Then, let the minimum entropy of the waveform as the objective function, a target speed estimation algorithm based on simulate anneal (SA) is proposed. Finally, the simulation experiment is carried out to verify the effectiveness of the proposed algorithm. The SA algorithm used to estimate the target speed in this paper is a global optimization algorithm. It is not necessary to set the speed search range, and the algorithm has no requirement for speed prediction. Moreover, the waveform entropy is used as the objective function for optimization, and the useful information of the echo is fully utilized, which makes the algorithm has the advantages of high precision.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130990053","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}
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