Pub Date : 2017-10-01DOI: 10.1109/ICCT.2017.8359954
Kangxu Liu, Guangming Li
In recent years, with the widespread construction of bridge, there are more and more bridge accidents happened in China, even all over the world, which cause causalities and property loss. The reason why most of bridge accidents occurred is lack of effective monitoring. The necessity of bridge health monitoring has been drawn more and more attention. In this paper, a bridge health monitoring system is proposed, which consists of hardware and software. The hardware design of the system adopts the way of wireless sensor networks. The software design of the system adopts Java-EE and Android technology to achieve related functions, for instance, registering, showing and changing user data, and showing collected pressure data, which ensures that the browser and phone client receive the same monitoring information. The system can monitor the health of the bridge and what's more important is that it is helpful for bridge maintenance to prevent accidents.
{"title":"Software design of bridge health monitoring system based on Java-EE and Android","authors":"Kangxu Liu, Guangming Li","doi":"10.1109/ICCT.2017.8359954","DOIUrl":"https://doi.org/10.1109/ICCT.2017.8359954","url":null,"abstract":"In recent years, with the widespread construction of bridge, there are more and more bridge accidents happened in China, even all over the world, which cause causalities and property loss. The reason why most of bridge accidents occurred is lack of effective monitoring. The necessity of bridge health monitoring has been drawn more and more attention. In this paper, a bridge health monitoring system is proposed, which consists of hardware and software. The hardware design of the system adopts the way of wireless sensor networks. The software design of the system adopts Java-EE and Android technology to achieve related functions, for instance, registering, showing and changing user data, and showing collected pressure data, which ensures that the browser and phone client receive the same monitoring information. The system can monitor the health of the bridge and what's more important is that it is helpful for bridge maintenance to prevent accidents.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115761885","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 : 2017-10-01DOI: 10.1109/icct.2017.8359910
Peng Zhang, Ye Li, Xiaoming Wu, Xiangzhi Liu, Qiuyun Hao, Yan Liang
Equalizers (EQs) have been widely used in audio and acoustic processing to adjust the magnitude of certain frequency bands. This paper proposes a parametric EQ based on short-time Fourier transform (STFT). The audio signal is equalized in the frequency domain by modifying its short-time spectrum with the interpolated magnitude frequency response of the EQ. Design examples show that the proposed method can realize the same function as filter-based equalization, while providing more adjustable frequency bands and wider range of gains. This brings in more flexible control and usage of the EQ for practical applications.
{"title":"Parametric audio equalizer based on short-time fourier transform","authors":"Peng Zhang, Ye Li, Xiaoming Wu, Xiangzhi Liu, Qiuyun Hao, Yan Liang","doi":"10.1109/icct.2017.8359910","DOIUrl":"https://doi.org/10.1109/icct.2017.8359910","url":null,"abstract":"Equalizers (EQs) have been widely used in audio and acoustic processing to adjust the magnitude of certain frequency bands. This paper proposes a parametric EQ based on short-time Fourier transform (STFT). The audio signal is equalized in the frequency domain by modifying its short-time spectrum with the interpolated magnitude frequency response of the EQ. Design examples show that the proposed method can realize the same function as filter-based equalization, while providing more adjustable frequency bands and wider range of gains. This brings in more flexible control and usage of the EQ for practical applications.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116050605","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 : 2017-10-01DOI: 10.1109/ICCT.2017.8359781
Xianglin Wei, Qin Sun
As a promising technology for newly emerging computing paradigms, like edge computing and Internet of Things (IoT), Software Defined Networking (SDN) has attracted much attention since 2008. SDN enables centralized network management, mobility supporting, security enhancement and quality of service promotion through separating control and data flows. Data centers (DCs) are treated as an ideal deploying scenarios for SDN since they are usually owned or maintained by single entities. Therefore, many newly constructed DC Networks (DCNs) adopt SDN paradigm to enable flexible and reliable network service. However, applying SDN to already-running DCs is not straightforward since it is very hard for us to deploy SDN without disrupting existing network service or introducing complex wiring. In this paper, a wireless control plane for DCN is put forward based on introducing 60GHz wireless links into DCs to enable incremental deployment of SDN in the DCs. A spanning tree algorithm for constructing the control plane is presented which can efficiently connect racks without incurring high cost. Moreover, to reduce the transmission delay in the control plane, a betweenness centrality-based controller placement method is presented. Compared with traditional wire-only methods, our wireless solution can achieve higher performance with low cost. To evaluate the performance of our control plane, a series of simulation experiments have been conducted on NS3. Experimental results have shown that the proposed control plane could efficiently reduce the one-way delay as well as the completion time of the control flows.
{"title":"A wireless control plane for deploying SDN in data center networks","authors":"Xianglin Wei, Qin Sun","doi":"10.1109/ICCT.2017.8359781","DOIUrl":"https://doi.org/10.1109/ICCT.2017.8359781","url":null,"abstract":"As a promising technology for newly emerging computing paradigms, like edge computing and Internet of Things (IoT), Software Defined Networking (SDN) has attracted much attention since 2008. SDN enables centralized network management, mobility supporting, security enhancement and quality of service promotion through separating control and data flows. Data centers (DCs) are treated as an ideal deploying scenarios for SDN since they are usually owned or maintained by single entities. Therefore, many newly constructed DC Networks (DCNs) adopt SDN paradigm to enable flexible and reliable network service. However, applying SDN to already-running DCs is not straightforward since it is very hard for us to deploy SDN without disrupting existing network service or introducing complex wiring. In this paper, a wireless control plane for DCN is put forward based on introducing 60GHz wireless links into DCs to enable incremental deployment of SDN in the DCs. A spanning tree algorithm for constructing the control plane is presented which can efficiently connect racks without incurring high cost. Moreover, to reduce the transmission delay in the control plane, a betweenness centrality-based controller placement method is presented. Compared with traditional wire-only methods, our wireless solution can achieve higher performance with low cost. To evaluate the performance of our control plane, a series of simulation experiments have been conducted on NS3. Experimental results have shown that the proposed control plane could efficiently reduce the one-way delay as well as the completion time of the control flows.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116078306","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 : 2017-10-01DOI: 10.1109/ICCT.2017.8359478
Mohamed Bouchou, Hua Wang, Mohammed El Hadi Lakhdari
In this paper, a modulation recognition algorithm based on Stacked sparse Auto-Encoder (SSAE) is proposed for the classification of common digitally modulated signals. To this end, a set of eight features including, two instantaneous features and six higher order cumulants features are extracted from the intercepted signal; these features are then fed to the SSAE for classification. Unlike the majority of classifiers used in AMR algorithms, which relies only on the supervised learning scenario, the stacked sparse autoencoder benefits from both, unsupervised and supervised learning approaches. In fact, the main advantage of the SSAE is that it can automatically learn new features to separate the input data during the unsupervised pre-training phase. These new features are used as initialization parameters in the supervised training phase to enhance the convergence of the SSAE to optimal results, as well as improve the noise resistance of the eight features extracted before. Results show that the overall success rate reach 100 % at 5dB SNR. The performance of the proposed algorithm is compared to an SVM-based method, and it is found that the probability of correct classification in our method is considerably improved.
{"title":"Automatic digital modulation recognition based on stacked sparse autoencoder","authors":"Mohamed Bouchou, Hua Wang, Mohammed El Hadi Lakhdari","doi":"10.1109/ICCT.2017.8359478","DOIUrl":"https://doi.org/10.1109/ICCT.2017.8359478","url":null,"abstract":"In this paper, a modulation recognition algorithm based on Stacked sparse Auto-Encoder (SSAE) is proposed for the classification of common digitally modulated signals. To this end, a set of eight features including, two instantaneous features and six higher order cumulants features are extracted from the intercepted signal; these features are then fed to the SSAE for classification. Unlike the majority of classifiers used in AMR algorithms, which relies only on the supervised learning scenario, the stacked sparse autoencoder benefits from both, unsupervised and supervised learning approaches. In fact, the main advantage of the SSAE is that it can automatically learn new features to separate the input data during the unsupervised pre-training phase. These new features are used as initialization parameters in the supervised training phase to enhance the convergence of the SSAE to optimal results, as well as improve the noise resistance of the eight features extracted before. Results show that the overall success rate reach 100 % at 5dB SNR. The performance of the proposed algorithm is compared to an SVM-based method, and it is found that the probability of correct classification in our method is considerably improved.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115009410","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 : 2017-10-01DOI: 10.1109/ICCT.2017.8359971
Zhiquan Wang, Zhiyi Qu
Web text classification is one of the research focuses and core technologies in Web information retrieval and data mining, and it has been widely concerned and developed rapidly in recent years. The convolutional neural network (CNN), as a kind of deep learning model, can extract the features of the text data accurately and reduce the complexity of models at the same time. The support vector machine (SVM) has always had the advantages of being effective and stable in traditional machine learning algorithms. According to the characteristics of CNN and SVM, this paper proposes a new method of Web text classification based on the improved CNN and SVM, using the CNN model with the five-layer network structure to extract text feature and then classify and predict by using SVM. Finally, it will obtain an excellent effect on mixed text data set.
{"title":"Research on Web text classification algorithm based on improved CNN and SVM","authors":"Zhiquan Wang, Zhiyi Qu","doi":"10.1109/ICCT.2017.8359971","DOIUrl":"https://doi.org/10.1109/ICCT.2017.8359971","url":null,"abstract":"Web text classification is one of the research focuses and core technologies in Web information retrieval and data mining, and it has been widely concerned and developed rapidly in recent years. The convolutional neural network (CNN), as a kind of deep learning model, can extract the features of the text data accurately and reduce the complexity of models at the same time. The support vector machine (SVM) has always had the advantages of being effective and stable in traditional machine learning algorithms. According to the characteristics of CNN and SVM, this paper proposes a new method of Web text classification based on the improved CNN and SVM, using the CNN model with the five-layer network structure to extract text feature and then classify and predict by using SVM. Finally, it will obtain an excellent effect on mixed text data set.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115119814","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 : 2017-10-01DOI: 10.1109/ICCT.2017.8359812
Jin Ren, Yunan Wang, Wenle Bai, Changliu Niu, Shan Meng
For the positioning range of the indoor localization algorithm is limited, location accuracy requirements are more precise. In the study of the measurement distance based on the signal receiving strength (RSSI), it is not reliable to calculate the receiving signal strength to affect the final positioning accuracy. By sampling and analyzing the signal strength of the node, filter out too big error and further reduce the measurement error to improve the positioning accuracy. The feasibility and effectiveness of the improved algorithm are verified by simulation results. The location accuracy of positioning algorithm is improved.
{"title":"An improved indoor positioning algorithm based on RSSI filtering","authors":"Jin Ren, Yunan Wang, Wenle Bai, Changliu Niu, Shan Meng","doi":"10.1109/ICCT.2017.8359812","DOIUrl":"https://doi.org/10.1109/ICCT.2017.8359812","url":null,"abstract":"For the positioning range of the indoor localization algorithm is limited, location accuracy requirements are more precise. In the study of the measurement distance based on the signal receiving strength (RSSI), it is not reliable to calculate the receiving signal strength to affect the final positioning accuracy. By sampling and analyzing the signal strength of the node, filter out too big error and further reduce the measurement error to improve the positioning accuracy. The feasibility and effectiveness of the improved algorithm are verified by simulation results. The location accuracy of positioning algorithm is improved.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115432141","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 : 2017-10-01DOI: 10.1109/ICCT.2017.8359825
Ke Han, Yuanwang Yang, C. You, Xueyong Zhu, Xuekun Du
The design of a reconfigurable continuous Class-F power amplifier (PA) is presented in this paper. A varactor-based output matching network is used to design the reconfigurable continuous Class-F PA. By employing the CREE 10W GaN HEMT device CGH40010F, the design is verified by simulation. The layout simulation results show that more than 50% efficiency is obtained from 0.9GHz to 1.45GHz. In each reconfigurable band with a bandwidth of 200MHz, the power gain is within 10.6±1.0dB.
介绍了一种可重构连续型f类功率放大器的设计。采用基于变容量的输出匹配网络设计可重构连续f类PA。采用CREE 10W GaN HEMT器件CGH40010F，通过仿真验证了该设计。布局仿真结果表明，在0.9GHz ~ 1.45GHz范围内，效率可达50%以上。在带宽为200MHz的可重构频带内，功率增益在10.6±1.0dB以内。
{"title":"Reconfigurable continuous Class-F power amplifier using tunable output matching network","authors":"Ke Han, Yuanwang Yang, C. You, Xueyong Zhu, Xuekun Du","doi":"10.1109/ICCT.2017.8359825","DOIUrl":"https://doi.org/10.1109/ICCT.2017.8359825","url":null,"abstract":"The design of a reconfigurable continuous Class-F power amplifier (PA) is presented in this paper. A varactor-based output matching network is used to design the reconfigurable continuous Class-F PA. By employing the CREE 10W GaN HEMT device CGH40010F, the design is verified by simulation. The layout simulation results show that more than 50% efficiency is obtained from 0.9GHz to 1.45GHz. In each reconfigurable band with a bandwidth of 200MHz, the power gain is within 10.6±1.0dB.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123128298","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 : 2017-10-01DOI: 10.1109/ICCT.2017.8359947
Benny Hardjono, H. Tjahyadi, A. E. Widjaja, M. G. Rhizma
This paper proposes a solution to traffic monitoring and planning by using nonintrusive traffic sensors only, namely Virtual Detection Zone (VDZ) and Closed Circuit Television (CCTV). We propose that our novel method, VDZ with CCTV snap shots, when combined as a system, can replace the traditional system using inductive loop detector sensor. The latter is in disadvantage because inductive loop detectors need to be physically embedded in to a highway-surface. Our previous works have shown that our system can provide the empirical data to construct Fundamental Diagrams and to calibrate a chosen model of the target highway, by using only seven VDZ agents which have carried GPS enabled smartphones, together with snapshots from fifteen existing CCTV, on Tangerang to Jakarta highway (21 km distance) over a period of three months. Our system is better than the traditional system, because it: can show zero speeds at totally jammed density, uses only one GPS coordinate to form a speed aware zone, costs less to build and is more practical to implement, especially for developing countries like Indonesia. By adopting and modifying Cell Transmission Model or CTM, a variant Macro model, our system can give short term predictions for travel time, and travel distance. Graphical and tabular comparisons are presented to highlight the worsening or improvement effects on traffic conditions when certain highway topology parameters have been changed for our target road. For example, simulated on our already calibrated model on our target highway, an addition of 3 off ramps at km 13, 15 and 17, would cause a reduction of vehicle travel time by up to 17.6% between minutes 75 to 230, which also mean a reduction of traffic jam. These results show that this system is potentially beneficial not only for commuters, but also for highway designers and government road authority.
{"title":"Vehicle travel distance and time prediction using virtual detection zone and CCTV data","authors":"Benny Hardjono, H. Tjahyadi, A. E. Widjaja, M. G. Rhizma","doi":"10.1109/ICCT.2017.8359947","DOIUrl":"https://doi.org/10.1109/ICCT.2017.8359947","url":null,"abstract":"This paper proposes a solution to traffic monitoring and planning by using nonintrusive traffic sensors only, namely Virtual Detection Zone (VDZ) and Closed Circuit Television (CCTV). We propose that our novel method, VDZ with CCTV snap shots, when combined as a system, can replace the traditional system using inductive loop detector sensor. The latter is in disadvantage because inductive loop detectors need to be physically embedded in to a highway-surface. Our previous works have shown that our system can provide the empirical data to construct Fundamental Diagrams and to calibrate a chosen model of the target highway, by using only seven VDZ agents which have carried GPS enabled smartphones, together with snapshots from fifteen existing CCTV, on Tangerang to Jakarta highway (21 km distance) over a period of three months. Our system is better than the traditional system, because it: can show zero speeds at totally jammed density, uses only one GPS coordinate to form a speed aware zone, costs less to build and is more practical to implement, especially for developing countries like Indonesia. By adopting and modifying Cell Transmission Model or CTM, a variant Macro model, our system can give short term predictions for travel time, and travel distance. Graphical and tabular comparisons are presented to highlight the worsening or improvement effects on traffic conditions when certain highway topology parameters have been changed for our target road. For example, simulated on our already calibrated model on our target highway, an addition of 3 off ramps at km 13, 15 and 17, would cause a reduction of vehicle travel time by up to 17.6% between minutes 75 to 230, which also mean a reduction of traffic jam. These results show that this system is potentially beneficial not only for commuters, but also for highway designers and government road authority.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122964742","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 : 2017-10-01DOI: 10.1109/ICCT.2017.8359694
Lijun Deng, Zhiping Shi, Shujun Zhang, Rui Tang, Liuyue Gan
Image transmission issue with high entropy frames is a great challenge for joint source channel coding (JSCC) system based on double protograph low-density parity-check codes (DP-LDPC) due to its sensitivity to source statistics. Aiming at this question, we proposed an effective rate allocation scheme with the premise of unfixed total rate to allocate the source coding rate and channel coding rate for each frame based on source and channel characteristics. In this scheme, two kinds of objective utility function (OUF) models and corresponding rate allocation methods are provided, including the single objective utility function (SOUF) model with global search method and the multi-objective utility function (MOUF) model with fuzzy logic control (FLC) method. Simulation results indicate that both models are effective for DP-LDPC system with high entropy frames, and the MOUF model with FLC method has better adaptive capacity to time-varying channel and better balance on transmission efficiency, image quality and fairness of allocation. The proposed methods offer some new solutions for high entropy frame problem of DP-LDPC image transmission system.
{"title":"Effective adaptive rate allocation for DP-LDPC image transmission system based on source and channel characteristics","authors":"Lijun Deng, Zhiping Shi, Shujun Zhang, Rui Tang, Liuyue Gan","doi":"10.1109/ICCT.2017.8359694","DOIUrl":"https://doi.org/10.1109/ICCT.2017.8359694","url":null,"abstract":"Image transmission issue with high entropy frames is a great challenge for joint source channel coding (JSCC) system based on double protograph low-density parity-check codes (DP-LDPC) due to its sensitivity to source statistics. Aiming at this question, we proposed an effective rate allocation scheme with the premise of unfixed total rate to allocate the source coding rate and channel coding rate for each frame based on source and channel characteristics. In this scheme, two kinds of objective utility function (OUF) models and corresponding rate allocation methods are provided, including the single objective utility function (SOUF) model with global search method and the multi-objective utility function (MOUF) model with fuzzy logic control (FLC) method. Simulation results indicate that both models are effective for DP-LDPC system with high entropy frames, and the MOUF model with FLC method has better adaptive capacity to time-varying channel and better balance on transmission efficiency, image quality and fairness of allocation. The proposed methods offer some new solutions for high entropy frame problem of DP-LDPC image transmission system.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"756 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122985593","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 : 2017-10-01DOI: 10.1109/ICCT.2017.8359853
Qiyi Han, Fang Miao, Wenjie Fan
The rumor takes advantage of online social networks to spread and cause damage by abducting public's psychology and behaviors. Therefore, a novel SIDR rumor spreading model, which consider a “doubt” psychologic factor, is proposed to study the dynamic rules of rumor. To defense against rumors efficiently, a full coverage monitoring scheme based on theory of set cover problem is deployed through a greedy algorithm. The experiments show the way to control the rumor spreading. And the result shows the monitoring deployment achieves a full coverage efficiently.
{"title":"Rumor spreading and monitoring deployment in online social networks","authors":"Qiyi Han, Fang Miao, Wenjie Fan","doi":"10.1109/ICCT.2017.8359853","DOIUrl":"https://doi.org/10.1109/ICCT.2017.8359853","url":null,"abstract":"The rumor takes advantage of online social networks to spread and cause damage by abducting public's psychology and behaviors. Therefore, a novel SIDR rumor spreading model, which consider a “doubt” psychologic factor, is proposed to study the dynamic rules of rumor. To defense against rumors efficiently, a full coverage monitoring scheme based on theory of set cover problem is deployed through a greedy algorithm. The experiments show the way to control the rumor spreading. And the result shows the monitoring deployment achieves a full coverage efficiently.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123008864","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：