2019 IEEE 19th International Conference on Communication Technology (ICCT)最新文献_第8页

Deity: Finding Deep Rooted Bugs in JavaScript Engines 神:在JavaScript引擎中发现根深蒂固的bug

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947153

Hongyang Lin, Junhu Zhu, Jianshan Peng, Dixia Zhu

引用次数: 2

A Multi-modal Spatio-temporal Data Semantic Association Model Based on Ontology 基于本体的多模态时空数据语义关联模型

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947183

Yan Zhou, Qingqing Yang, Fan Jiang

{"title":"A Multi-modal Spatio-temporal Data Semantic Association Model Based on Ontology","authors":"Yan Zhou, Qingqing Yang, Fan Jiang","doi":"10.1109/ICCT46805.2019.8947183","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947183","url":null,"abstract":"Multi-modal spatio-temporal data is mixed data with spatio-temporal information, various types and complex modalities. Different modal data are usually related to each other. Effective organization and associated spatio-temporal data are the focus of massive data management and data information mining. Aiming at the characteristics of multidimensional, multi-scale, multi-temporal and multi-modality of spatio-temporal data, by analyzing its rich spatio-temporal information and semantic information, this paper proposes a multi-modal spatio-temporal data semantic association model with time information, spatial information and content object semantic information as three related factors. At the same time, based on the characteristics of multi-modal spatio-temporal data features low-level features heterogeneity, the ontology model of spatio-temporal data semantic expression that can describe data information uniformly is defined and constructed based on Ontology theory. The association query is realized by constructing multiple instances of different modal spatio-temporal data. The experimental analysis shows that the multi-modal spatio-temporal data semantic association model can effectively correlate spatio-temporal data of different modalities and has certain scalability.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125722040","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 Design of CAN, LIN Bus Test Board CAN、LIN总线测试板的设计

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947008

Feng Luo, P. Wei

引用次数: 1

Robust Image Watermarking in the Print-Cam Process 打印凸轮过程中的鲁棒图像水印

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947254

Shuang Liang, Xingjun Wang

引用次数: 3

Research on UAV Cluster Routing Strategy Based on Distributed SDN 基于分布式SDN的无人机集群路由策略研究

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947245

Yifan Sun, Zhichao Mi, Hai Wang, Yuqing Jiang, Ning Zhao

引用次数: 5

Mobility Prediction Based Vehicular Edge Caching: A Deep Reinforcement Learning Based Approach 基于移动预测的车辆边缘缓存:一种基于深度强化学习的方法

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947024

Yanxiang Guo, Zhaolong Ning, Yu-Kwong Kwok

{"title":"Mobility Prediction Based Vehicular Edge Caching: A Deep Reinforcement Learning Based Approach","authors":"Yanxiang Guo, Zhaolong Ning, Yu-Kwong Kwok","doi":"10.1109/ICCT46805.2019.8947024","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947024","url":null,"abstract":"Caching on edge nodes can effectively reduce the burden on the Internet of Vehicles (IoV) networks. However, the inherent limitations of IoV networks, such as restricted storage capability of cache nodes and high mobility of vehicles may cause poor quality of services. Accurate prediction could achieve seamless switching between edge servers, reduce pre-fetch redundancy, and improve data transmission efficiency. This paper investigates how to pre-cache packets at edge nodes to speed up services to improve the user experience. We consider the trade-off between the modelling accuracy and computational complexity, and design a Markov Deep Q-Learning (MDQL) model to formulate the caching strategy. The k-order Markov model is first used to predict the mobility of vehicles, and the prediction results are used as the input of deep reinforcement learning (DRL) for training. The MDQL model can reduce the size of the action space and the computational complexity of DRL while considering the balance between the cache hit rate and the cache replacement rate. Experimental results demonstrate the effectiveness of the proposed method.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132625159","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

Region-aware Random Erasing 区域感知随机擦除

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947189

Zhen Yang, Zhipeng Wang, Wenshan Xu, Xiuying He, Zhichao Wang, Zhijian Yin

引用次数: 6

Real-Time Traffic Flow Management Based on Visible Light Communication: A Case Study at Roundabout 基于可见光通信的交通流实时管理:以环形交叉路口为例

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947137

Maged Fakirah, S. Leng, Qing Wang

引用次数: 1

An Incremental Identification Method for Fraud Phone Calls Based on Broad Learning System 基于广义学习系统的诈骗电话增量识别方法

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947271

Rui Zhong, Xiaocen Dong, Rongheng Lin, Hua Zou

{"title":"An Incremental Identification Method for Fraud Phone Calls Based on Broad Learning System","authors":"Rui Zhong, Xiaocen Dong, Rongheng Lin, Hua Zou","doi":"10.1109/ICCT46805.2019.8947271","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947271","url":null,"abstract":"With the continuous development of the communication industry, more and more fraud calls appear in the user’s daily life and the crime of telecom fraud is growing rapidly, causing huge losses every year. Traditional fraud detection methods are less flexible and they all belong to passive interception and rely on intelligent terminals. At present, a more accurate and timely method is needed to deal with the evolving fraud. Therefore, this paper proposes an identification method for fraud phone calls based on Broad Learning System (BLS). We processed the text data of fraud phone calls through the first 15s of the call content identification monitoring, constructed the TF-IDF model, then converted it into a neural network based on the BLS and identified the fraud phone calls on this model. At the same time, the model can be updated quickly by corresponding incremental learning algorithm without retraining based on the BLS, which is suitable for fraud identification systems with few data features but high real-time prediction requirements. The method mentioned above is experimented and analyzed in detail. The results show that this method has higher accuracy and excellent training speed on fraud data. Compared with the original fraud identification methods, it can actively intercept and has higher accuracy. Compared with other neural network algorithms used in fraud system, the method has better training speed, can ensure the accuracy and timeliness of online fraud identification and help quickly identify fraud phone calls.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132994265","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

Massive MIMO Channel Estimation Based on Improved Variable Step Size Regular Backtracking SAMP Algorithms 基于改进变步长规则回溯SAMP算法的海量MIMO信道估计

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947171

Hao Xu, Chunshu Li

引用次数: 1